From 3b8b91813242493e7da29046e2077ec7e0770bcd Mon Sep 17 00:00:00 2001 From: Owl Bot Date: Thu, 23 Jun 2022 22:28:21 +0000 Subject: [PATCH 1/5] feat: add audience parameter PiperOrigin-RevId: 456827138 Source-Link: https://github.com/googleapis/googleapis/commit/23f1a157189581734c7a77cddfeb7c5bc1e440ae Source-Link: https://github.com/googleapis/googleapis-gen/commit/4075a8514f676691ec156688a5bbf183aa9893ce Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiNDA3NWE4NTE0ZjY3NjY5MWVjMTU2Njg4YTViYmYxODNhYTk4OTNjZSJ9 --- owl-bot-staging/v1/.coveragerc | 17 + owl-bot-staging/v1/.flake8 | 33 + owl-bot-staging/v1/MANIFEST.in | 2 + owl-bot-staging/v1/README.rst | 49 + owl-bot-staging/v1/docs/conf.py | 376 ++ owl-bot-staging/v1/docs/index.rst | 7 + .../v1/docs/memcache_v1/cloud_memcache.rst | 10 + .../v1/docs/memcache_v1/services.rst | 6 + owl-bot-staging/v1/docs/memcache_v1/types.rst | 7 + .../v1/google/cloud/memcache/__init__.py | 47 + .../v1/google/cloud/memcache/py.typed | 2 + .../v1/google/cloud/memcache_v1/__init__.py | 48 + .../cloud/memcache_v1/gapic_metadata.json | 93 + .../v1/google/cloud/memcache_v1/py.typed | 2 + .../cloud/memcache_v1/services/__init__.py | 15 + .../services/cloud_memcache/__init__.py | 22 + .../services/cloud_memcache/async_client.py | 1089 ++++++ .../services/cloud_memcache/client.py | 1289 +++++++ .../services/cloud_memcache/pagers.py | 139 + .../cloud_memcache/transports/__init__.py | 33 + .../cloud_memcache/transports/base.py | 245 ++ .../cloud_memcache/transports/grpc.py | 463 +++ .../cloud_memcache/transports/grpc_asyncio.py | 462 +++ .../cloud/memcache_v1/types/__init__.py | 44 + .../cloud/memcache_v1/types/cloud_memcache.py | 656 ++++ owl-bot-staging/v1/mypy.ini | 3 + owl-bot-staging/v1/noxfile.py | 180 + ...d_cloud_memcache_apply_parameters_async.py | 49 + ...ed_cloud_memcache_apply_parameters_sync.py | 49 + ...ed_cloud_memcache_create_instance_async.py | 57 + ...ted_cloud_memcache_create_instance_sync.py | 57 + ...ed_cloud_memcache_delete_instance_async.py | 49 + ...ted_cloud_memcache_delete_instance_sync.py | 49 + ...rated_cloud_memcache_get_instance_async.py | 45 + ...erated_cloud_memcache_get_instance_sync.py | 45 + ...ted_cloud_memcache_list_instances_async.py | 46 + ...ated_cloud_memcache_list_instances_sync.py | 46 + ...ed_cloud_memcache_update_instance_async.py | 55 + ...ted_cloud_memcache_update_instance_sync.py | 55 + ..._cloud_memcache_update_parameters_async.py | 49 + ...d_cloud_memcache_update_parameters_sync.py | 49 + .../snippet_metadata_memcache_v1.json | 1197 ++++++ .../v1/scripts/fixup_memcache_v1_keywords.py | 182 + owl-bot-staging/v1/setup.py | 59 + owl-bot-staging/v1/tests/__init__.py | 16 + owl-bot-staging/v1/tests/unit/__init__.py | 16 + .../v1/tests/unit/gapic/__init__.py | 16 + .../tests/unit/gapic/memcache_v1/__init__.py | 16 + .../gapic/memcache_v1/test_cloud_memcache.py | 3120 +++++++++++++++ owl-bot-staging/v1beta2/.coveragerc | 17 + owl-bot-staging/v1beta2/.flake8 | 33 + owl-bot-staging/v1beta2/MANIFEST.in | 2 + owl-bot-staging/v1beta2/README.rst | 49 + owl-bot-staging/v1beta2/docs/conf.py | 376 ++ owl-bot-staging/v1beta2/docs/index.rst | 7 + .../docs/memcache_v1beta2/cloud_memcache.rst | 10 + .../docs/memcache_v1beta2/services.rst | 6 + .../v1beta2/docs/memcache_v1beta2/types.rst | 7 + .../v1beta2/google/cloud/memcache/__init__.py | 53 + .../v1beta2/google/cloud/memcache/py.typed | 2 + .../google/cloud/memcache_v1beta2/__init__.py | 54 + .../memcache_v1beta2/gapic_metadata.json | 103 + .../google/cloud/memcache_v1beta2/py.typed | 2 + .../memcache_v1beta2/services/__init__.py | 15 + .../services/cloud_memcache/__init__.py | 22 + .../services/cloud_memcache/async_client.py | 1227 ++++++ .../services/cloud_memcache/client.py | 1427 +++++++ .../services/cloud_memcache/pagers.py | 139 + .../cloud_memcache/transports/__init__.py | 33 + .../cloud_memcache/transports/base.py | 259 ++ .../cloud_memcache/transports/grpc.py | 490 +++ .../cloud_memcache/transports/grpc_asyncio.py | 489 +++ .../cloud/memcache_v1beta2/types/__init__.py | 50 + .../memcache_v1beta2/types/cloud_memcache.py | 734 ++++ owl-bot-staging/v1beta2/mypy.ini | 3 + owl-bot-staging/v1beta2/noxfile.py | 180 + ...d_cloud_memcache_apply_parameters_async.py | 49 + ...ed_cloud_memcache_apply_parameters_sync.py | 49 + ...ud_memcache_apply_software_update_async.py | 49 + ...oud_memcache_apply_software_update_sync.py | 49 + ...ed_cloud_memcache_create_instance_async.py | 57 + ...ted_cloud_memcache_create_instance_sync.py | 57 + ...ed_cloud_memcache_delete_instance_async.py | 49 + ...ted_cloud_memcache_delete_instance_sync.py | 49 + ...rated_cloud_memcache_get_instance_async.py | 45 + ...erated_cloud_memcache_get_instance_sync.py | 45 + ...ted_cloud_memcache_list_instances_async.py | 46 + ...ated_cloud_memcache_list_instances_sync.py | 46 + ...ed_cloud_memcache_update_instance_async.py | 55 + ...ted_cloud_memcache_update_instance_sync.py | 55 + ..._cloud_memcache_update_parameters_async.py | 49 + ...d_cloud_memcache_update_parameters_sync.py | 49 + .../snippet_metadata_memcache_v1beta2.json | 1374 +++++++ .../fixup_memcache_v1beta2_keywords.py | 183 + owl-bot-staging/v1beta2/setup.py | 59 + owl-bot-staging/v1beta2/tests/__init__.py | 16 + .../v1beta2/tests/unit/__init__.py | 16 + .../v1beta2/tests/unit/gapic/__init__.py | 16 + .../unit/gapic/memcache_v1beta2/__init__.py | 16 + .../memcache_v1beta2/test_cloud_memcache.py | 3375 +++++++++++++++++ 100 files changed, 22303 insertions(+) create mode 100644 owl-bot-staging/v1/.coveragerc create mode 100644 owl-bot-staging/v1/.flake8 create mode 100644 owl-bot-staging/v1/MANIFEST.in create mode 100644 owl-bot-staging/v1/README.rst create mode 100644 owl-bot-staging/v1/docs/conf.py create mode 100644 owl-bot-staging/v1/docs/index.rst create mode 100644 owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst create mode 100644 owl-bot-staging/v1/docs/memcache_v1/services.rst create mode 100644 owl-bot-staging/v1/docs/memcache_v1/types.rst create mode 100644 owl-bot-staging/v1/google/cloud/memcache/__init__.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache/py.typed create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/py.typed create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py create mode 100644 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owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py create mode 100644 owl-bot-staging/v1beta2/mypy.ini create mode 100644 owl-bot-staging/v1beta2/noxfile.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json create mode 100644 owl-bot-staging/v1beta2/scripts/fixup_memcache_v1beta2_keywords.py create mode 100644 owl-bot-staging/v1beta2/setup.py create mode 100644 owl-bot-staging/v1beta2/tests/__init__.py create mode 100644 owl-bot-staging/v1beta2/tests/unit/__init__.py create mode 100644 owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py create mode 100644 owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py create mode 100644 owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py diff --git a/owl-bot-staging/v1/.coveragerc b/owl-bot-staging/v1/.coveragerc new file mode 100644 index 0000000..028e2ca --- /dev/null +++ b/owl-bot-staging/v1/.coveragerc @@ -0,0 +1,17 @@ +[run] +branch = True + +[report] +show_missing = True +omit = + google/cloud/memcache/__init__.py +exclude_lines = + # Re-enable the standard pragma + pragma: NO COVER + # Ignore debug-only repr + def __repr__ + # Ignore pkg_resources exceptions. + # This is added at the module level as a safeguard for if someone + # generates the code and tries to run it without pip installing. This + # makes it virtually impossible to test properly. + except pkg_resources.DistributionNotFound diff --git a/owl-bot-staging/v1/.flake8 b/owl-bot-staging/v1/.flake8 new file mode 100644 index 0000000..29227d4 --- /dev/null +++ b/owl-bot-staging/v1/.flake8 @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# +# Copyright 2020 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Generated by synthtool. DO NOT EDIT! +[flake8] +ignore = E203, E266, E501, W503 +exclude = + # Exclude generated code. + **/proto/** + **/gapic/** + **/services/** + **/types/** + *_pb2.py + + # Standard linting exemptions. + **/.nox/** + __pycache__, + .git, + *.pyc, + conf.py diff --git a/owl-bot-staging/v1/MANIFEST.in b/owl-bot-staging/v1/MANIFEST.in new file mode 100644 index 0000000..b997504 --- /dev/null +++ b/owl-bot-staging/v1/MANIFEST.in @@ -0,0 +1,2 @@ +recursive-include google/cloud/memcache *.py +recursive-include google/cloud/memcache_v1 *.py diff --git a/owl-bot-staging/v1/README.rst b/owl-bot-staging/v1/README.rst new file mode 100644 index 0000000..672802b --- /dev/null +++ b/owl-bot-staging/v1/README.rst @@ -0,0 +1,49 @@ +Python Client for Google Cloud Memcache API +================================================= + +Quick Start +----------- + +In order to use this library, you first need to go through the following steps: + +1. `Select or create a Cloud Platform project.`_ +2. `Enable billing for your project.`_ +3. Enable the Google Cloud Memcache API. +4. `Setup Authentication.`_ + +.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project +.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project +.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html + +Installation +~~~~~~~~~~~~ + +Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to +create isolated Python environments. The basic problem it addresses is one of +dependencies and versions, and indirectly permissions. + +With `virtualenv`_, it's possible to install this library without needing system +install permissions, and without clashing with the installed system +dependencies. + +.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ + + +Mac/Linux +^^^^^^^^^ + +.. code-block:: console + + python3 -m venv + source /bin/activate + /bin/pip install /path/to/library + + +Windows +^^^^^^^ + +.. code-block:: console + + python3 -m venv + \Scripts\activate + \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/v1/docs/conf.py b/owl-bot-staging/v1/docs/conf.py new file mode 100644 index 0000000..d96922c --- /dev/null +++ b/owl-bot-staging/v1/docs/conf.py @@ -0,0 +1,376 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# +# google-cloud-memcache documentation build configuration file +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys +import os +import shlex + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +sys.path.insert(0, os.path.abspath("..")) + +__version__ = "0.1.0" + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +needs_sphinx = "4.0.1" + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.intersphinx", + "sphinx.ext.coverage", + "sphinx.ext.napoleon", + "sphinx.ext.todo", + "sphinx.ext.viewcode", +] + +# autodoc/autosummary flags +autoclass_content = "both" +autodoc_default_flags = ["members"] +autosummary_generate = True + + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# Allow markdown includes (so releases.md can include CHANGLEOG.md) +# http://www.sphinx-doc.org/en/master/markdown.html +source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +source_suffix = [".rst", ".md"] + +# The encoding of source files. +# source_encoding = 'utf-8-sig' + +# The root toctree document. +root_doc = "index" + +# General information about the project. +project = u"google-cloud-memcache" +copyright = u"2022, Google, LLC" +author = u"Google APIs" # TODO: autogenerate this bit + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The full version, including alpha/beta/rc tags. +release = __version__ +# The short X.Y version. +version = ".".join(release.split(".")[0:2]) + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = None + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +# today = '' +# Else, today_fmt is used as the format for a strftime call. +# today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ["_build"] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +# default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +# add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +# add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +# show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# A list of ignored prefixes for module index sorting. +# modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +# keep_warnings = False + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = True + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = "alabaster" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +html_theme_options = { + "description": "Google Cloud Client Libraries for Python", + "github_user": "googleapis", + "github_repo": "google-cloud-python", + "github_banner": True, + "font_family": "'Roboto', Georgia, sans", + "head_font_family": "'Roboto', Georgia, serif", + "code_font_family": "'Roboto Mono', 'Consolas', monospace", +} + +# Add any paths that contain custom themes here, relative to this directory. +# html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +# html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +# html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +# html_logo = None + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +# html_favicon = None + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ["_static"] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +# html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +# html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +# html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +# html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +# html_additional_pages = {} + +# If false, no module index is generated. +# html_domain_indices = True + +# If false, no index is generated. +# html_use_index = True + +# If true, the index is split into individual pages for each letter. +# html_split_index = False + +# If true, links to the reST sources are added to the pages. +# html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +# html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +# html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +# html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +# html_file_suffix = None + +# Language to be used for generating the HTML full-text search index. +# Sphinx supports the following languages: +# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' +# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' +# html_search_language = 'en' + +# A dictionary with options for the search language support, empty by default. +# Now only 'ja' uses this config value +# html_search_options = {'type': 'default'} + +# The name of a javascript file (relative to the configuration directory) that +# implements a search results scorer. If empty, the default will be used. +# html_search_scorer = 'scorer.js' + +# Output file base name for HTML help builder. +htmlhelp_basename = "google-cloud-memcache-doc" + +# -- Options for warnings ------------------------------------------------------ + + +suppress_warnings = [ + # Temporarily suppress this to avoid "more than one target found for + # cross-reference" warning, which are intractable for us to avoid while in + # a mono-repo. + # See https://github.com/sphinx-doc/sphinx/blob + # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 + "ref.python" +] + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # 'papersize': 'letterpaper', + # The font size ('10pt', '11pt' or '12pt'). + # 'pointsize': '10pt', + # Additional stuff for the LaTeX preamble. + # 'preamble': '', + # Latex figure (float) alignment + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + ( + root_doc, + "google-cloud-memcache.tex", + u"google-cloud-memcache Documentation", + author, + "manual", + ) +] + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +# latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +# latex_use_parts = False + +# If true, show page references after internal links. +# latex_show_pagerefs = False + +# If true, show URL addresses after external links. +# latex_show_urls = False + +# Documents to append as an appendix to all manuals. +# latex_appendices = [] + +# If false, no module index is generated. +# latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + ( + root_doc, + "google-cloud-memcache", + u"Google Cloud Memcache Documentation", + [author], + 1, + ) +] + +# If true, show URL addresses after external links. +# man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + root_doc, + "google-cloud-memcache", + u"google-cloud-memcache Documentation", + author, + "google-cloud-memcache", + "GAPIC library for Google Cloud Memcache API", + "APIs", + ) +] + +# Documents to append as an appendix to all manuals. +# texinfo_appendices = [] + +# If false, no module index is generated. +# texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +# texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +# texinfo_no_detailmenu = False + + +# Example configuration for intersphinx: refer to the Python standard library. +intersphinx_mapping = { + "python": ("http://python.readthedocs.org/en/latest/", None), + "gax": ("https://gax-python.readthedocs.org/en/latest/", None), + "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), + "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), + "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), + "grpc": ("https://grpc.io/grpc/python/", None), + "requests": ("http://requests.kennethreitz.org/en/stable/", None), + "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), + "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), +} + + +# Napoleon settings +napoleon_google_docstring = True +napoleon_numpy_docstring = True +napoleon_include_private_with_doc = False +napoleon_include_special_with_doc = True +napoleon_use_admonition_for_examples = False +napoleon_use_admonition_for_notes = False +napoleon_use_admonition_for_references = False +napoleon_use_ivar = False +napoleon_use_param = True +napoleon_use_rtype = True diff --git a/owl-bot-staging/v1/docs/index.rst b/owl-bot-staging/v1/docs/index.rst new file mode 100644 index 0000000..fcd849b --- /dev/null +++ b/owl-bot-staging/v1/docs/index.rst @@ -0,0 +1,7 @@ +API Reference +------------- +.. toctree:: + :maxdepth: 2 + + memcache_v1/services + memcache_v1/types diff --git a/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst b/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst new file mode 100644 index 0000000..35de375 --- /dev/null +++ b/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst @@ -0,0 +1,10 @@ +CloudMemcache +------------------------------- + +.. automodule:: google.cloud.memcache_v1.services.cloud_memcache + :members: + :inherited-members: + +.. automodule:: google.cloud.memcache_v1.services.cloud_memcache.pagers + :members: + :inherited-members: diff --git a/owl-bot-staging/v1/docs/memcache_v1/services.rst b/owl-bot-staging/v1/docs/memcache_v1/services.rst new file mode 100644 index 0000000..01fd6b8 --- /dev/null +++ b/owl-bot-staging/v1/docs/memcache_v1/services.rst @@ -0,0 +1,6 @@ +Services for Google Cloud Memcache v1 API +========================================= +.. toctree:: + :maxdepth: 2 + + cloud_memcache diff --git a/owl-bot-staging/v1/docs/memcache_v1/types.rst b/owl-bot-staging/v1/docs/memcache_v1/types.rst new file mode 100644 index 0000000..06bda21 --- /dev/null +++ b/owl-bot-staging/v1/docs/memcache_v1/types.rst @@ -0,0 +1,7 @@ +Types for Google Cloud Memcache v1 API +====================================== + +.. automodule:: google.cloud.memcache_v1.types + :members: + :undoc-members: + :show-inheritance: diff --git a/owl-bot-staging/v1/google/cloud/memcache/__init__.py b/owl-bot-staging/v1/google/cloud/memcache/__init__.py new file mode 100644 index 0000000..7d9086e --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache/__init__.py @@ -0,0 +1,47 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from google.cloud.memcache_v1.services.cloud_memcache.client import CloudMemcacheClient +from google.cloud.memcache_v1.services.cloud_memcache.async_client import CloudMemcacheAsyncClient + +from google.cloud.memcache_v1.types.cloud_memcache import ApplyParametersRequest +from google.cloud.memcache_v1.types.cloud_memcache import CreateInstanceRequest +from google.cloud.memcache_v1.types.cloud_memcache import DeleteInstanceRequest +from google.cloud.memcache_v1.types.cloud_memcache import GetInstanceRequest +from google.cloud.memcache_v1.types.cloud_memcache import Instance +from google.cloud.memcache_v1.types.cloud_memcache import ListInstancesRequest +from google.cloud.memcache_v1.types.cloud_memcache import ListInstancesResponse +from google.cloud.memcache_v1.types.cloud_memcache import MemcacheParameters +from google.cloud.memcache_v1.types.cloud_memcache import OperationMetadata +from google.cloud.memcache_v1.types.cloud_memcache import UpdateInstanceRequest +from google.cloud.memcache_v1.types.cloud_memcache import UpdateParametersRequest +from google.cloud.memcache_v1.types.cloud_memcache import MemcacheVersion + +__all__ = ('CloudMemcacheClient', + 'CloudMemcacheAsyncClient', + 'ApplyParametersRequest', + 'CreateInstanceRequest', + 'DeleteInstanceRequest', + 'GetInstanceRequest', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'MemcacheParameters', + 'OperationMetadata', + 'UpdateInstanceRequest', + 'UpdateParametersRequest', + 'MemcacheVersion', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache/py.typed b/owl-bot-staging/v1/google/cloud/memcache/py.typed new file mode 100644 index 0000000..7959cf4 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py new file mode 100644 index 0000000..3f088d6 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from .services.cloud_memcache import CloudMemcacheClient +from .services.cloud_memcache import CloudMemcacheAsyncClient + +from .types.cloud_memcache import ApplyParametersRequest +from .types.cloud_memcache import CreateInstanceRequest +from .types.cloud_memcache import DeleteInstanceRequest +from .types.cloud_memcache import GetInstanceRequest +from .types.cloud_memcache import Instance +from .types.cloud_memcache import ListInstancesRequest +from .types.cloud_memcache import ListInstancesResponse +from .types.cloud_memcache import MemcacheParameters +from .types.cloud_memcache import OperationMetadata +from .types.cloud_memcache import UpdateInstanceRequest +from .types.cloud_memcache import UpdateParametersRequest +from .types.cloud_memcache import MemcacheVersion + +__all__ = ( + 'CloudMemcacheAsyncClient', +'ApplyParametersRequest', +'CloudMemcacheClient', +'CreateInstanceRequest', +'DeleteInstanceRequest', +'GetInstanceRequest', +'Instance', +'ListInstancesRequest', +'ListInstancesResponse', +'MemcacheParameters', +'MemcacheVersion', +'OperationMetadata', +'UpdateInstanceRequest', +'UpdateParametersRequest', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json b/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json new file mode 100644 index 0000000..08d37fa --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json @@ -0,0 +1,93 @@ + { + "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", + "language": "python", + "libraryPackage": "google.cloud.memcache_v1", + "protoPackage": "google.cloud.memcache.v1", + "schema": "1.0", + "services": { + "CloudMemcache": { + "clients": { + "grpc": { + "libraryClient": "CloudMemcacheClient", + "rpcs": { + "ApplyParameters": { + "methods": [ + "apply_parameters" + ] + }, + "CreateInstance": { + "methods": [ + "create_instance" + ] + }, + "DeleteInstance": { + "methods": [ + "delete_instance" + ] + }, + "GetInstance": { + "methods": [ + "get_instance" + ] + }, + "ListInstances": { + "methods": [ + "list_instances" + ] + }, + "UpdateInstance": { + "methods": [ + "update_instance" + ] + }, + "UpdateParameters": { + "methods": [ + "update_parameters" + ] + } + } + }, + "grpc-async": { + "libraryClient": "CloudMemcacheAsyncClient", + "rpcs": { + "ApplyParameters": { + "methods": [ + "apply_parameters" + ] + }, + "CreateInstance": { + "methods": [ + "create_instance" + ] + }, + "DeleteInstance": { + "methods": [ + "delete_instance" + ] + }, + "GetInstance": { + "methods": [ + "get_instance" + ] + }, + "ListInstances": { + "methods": [ + "list_instances" + ] + }, + "UpdateInstance": { + "methods": [ + "update_instance" + ] + }, + "UpdateParameters": { + "methods": [ + "update_parameters" + ] + } + } + } + } + } + } +} diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed b/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed new file mode 100644 index 0000000..7959cf4 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py new file mode 100644 index 0000000..e8e1c38 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py @@ -0,0 +1,15 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py new file mode 100644 index 0000000..a7034a9 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import CloudMemcacheClient +from .async_client import CloudMemcacheAsyncClient + +__all__ = ( + 'CloudMemcacheClient', + 'CloudMemcacheAsyncClient', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py new file mode 100644 index 0000000..d79ba21 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py @@ -0,0 +1,1089 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import functools +import re +from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union +import pkg_resources + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.memcache_v1.services.cloud_memcache import pagers +from google.cloud.memcache_v1.types import cloud_memcache +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport +from .client import CloudMemcacheClient + + +class CloudMemcacheAsyncClient: + """Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + """ + + _client: CloudMemcacheClient + + DEFAULT_ENDPOINT = CloudMemcacheClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = CloudMemcacheClient.DEFAULT_MTLS_ENDPOINT + + instance_path = staticmethod(CloudMemcacheClient.instance_path) + parse_instance_path = staticmethod(CloudMemcacheClient.parse_instance_path) + common_billing_account_path = staticmethod(CloudMemcacheClient.common_billing_account_path) + parse_common_billing_account_path = staticmethod(CloudMemcacheClient.parse_common_billing_account_path) + common_folder_path = staticmethod(CloudMemcacheClient.common_folder_path) + parse_common_folder_path = staticmethod(CloudMemcacheClient.parse_common_folder_path) + common_organization_path = staticmethod(CloudMemcacheClient.common_organization_path) + parse_common_organization_path = staticmethod(CloudMemcacheClient.parse_common_organization_path) + common_project_path = staticmethod(CloudMemcacheClient.common_project_path) + parse_common_project_path = staticmethod(CloudMemcacheClient.parse_common_project_path) + common_location_path = staticmethod(CloudMemcacheClient.common_location_path) + parse_common_location_path = staticmethod(CloudMemcacheClient.parse_common_location_path) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheAsyncClient: The constructed client. + """ + return CloudMemcacheClient.from_service_account_info.__func__(CloudMemcacheAsyncClient, info, *args, **kwargs) # type: ignore + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheAsyncClient: The constructed client. + """ + return CloudMemcacheClient.from_service_account_file.__func__(CloudMemcacheAsyncClient, filename, *args, **kwargs) # type: ignore + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variabel is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return CloudMemcacheClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> CloudMemcacheTransport: + """Returns the transport used by the client instance. + + Returns: + CloudMemcacheTransport: The transport used by the client instance. + """ + return self._client.transport + + get_transport_class = functools.partial(type(CloudMemcacheClient).get_transport_class, type(CloudMemcacheClient)) + + def __init__(self, *, + credentials: ga_credentials.Credentials = None, + transport: Union[str, CloudMemcacheTransport] = "grpc_asyncio", + client_options: ClientOptions = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the cloud memcache client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, ~.CloudMemcacheTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (ClientOptions): Custom options for the client. It + won't take effect if a ``transport`` instance is provided. + (1) The ``api_endpoint`` property can be used to override the + default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT + environment variable can also be used to override the endpoint: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto switch to the + default mTLS endpoint if client certificate is present, this is + the default value). However, the ``api_endpoint`` property takes + precedence if provided. + (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide client certificate for mutual TLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = CloudMemcacheClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + + ) + + async def list_instances(self, + request: Union[cloud_memcache.ListInstancesRequest, dict] = None, + *, + parent: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListInstancesAsyncPager: + r"""Lists Instances in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_list_instances(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]): + The request object. Request for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + parent (:class:`str`): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesAsyncPager: + Response for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.ListInstancesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_instances, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListInstancesAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_instance(self, + request: Union[cloud_memcache.GetInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> cloud_memcache.Instance: + r"""Gets details of a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_get_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = await client.get_instance(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]): + The request object. Request for + [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. + name (:class:`str`): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1.types.Instance: + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.GetInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def create_instance(self, + request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, + *, + parent: str = None, + instance: cloud_memcache.Instance = None, + instance_id: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new Instance in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_create_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + instance=instance, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]): + The request object. Request for + [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. + parent (:class:`str`): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance (:class:`google.cloud.memcache_v1.types.Instance`): + Required. A Memcached Instance + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance_id (:class:`str`): + Required. The logical name of the Memcached instance in + the user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location + + If any of the above are not met, will raise an invalid + argument error. + + This corresponds to the ``instance_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, instance, instance_id]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.CreateInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if instance is not None: + request.instance = instance + if instance_id is not None: + request.instance_id = instance_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.create_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def update_instance(self, + request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, + *, + instance: cloud_memcache.Instance = None, + update_mask: field_mask_pb2.FieldMask = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates an existing Instance in a given project and + location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_update_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.UpdateInstanceRequest( + instance=instance, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]): + The request object. Request for + [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. + instance (:class:`google.cloud.memcache_v1.types.Instance`): + Required. A Memcached Instance. Only fields specified in + update_mask are updated. + + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. Mask of fields to update. + + - ``displayName`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([instance, update_mask]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.UpdateInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if instance is not None: + request.instance = instance + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.update_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("instance.name", request.instance.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def update_parameters(self, + request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, + *, + name: str = None, + update_mask: field_mask_pb2.FieldMask = None, + parameters: cloud_memcache.MemcacheParameters = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates the defined Memcached Parameters for an + existing Instance. This method only stages the + parameters, it must be followed by ApplyParameters to + apply the parameters to nodes of the Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_update_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.UpdateParametersRequest, dict]): + The request object. Request for + [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. + name (:class:`str`): + Required. Resource name of the + Memcached instance for which the + parameters should be updated. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. Mask of fields to update. + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + parameters (:class:`google.cloud.memcache_v1.types.MemcacheParameters`): + The parameters to apply to the + instance. + + This corresponds to the ``parameters`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, update_mask, parameters]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.UpdateParametersRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if update_mask is not None: + request.update_mask = update_mask + if parameters is not None: + request.parameters = parameters + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.update_parameters, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_instance(self, + request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_delete_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]): + The request object. Request for + [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. + name (:class:`str`): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + The JSON representation for Empty is empty JSON + object {}. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.DeleteInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.delete_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def apply_parameters(self, + request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, + *, + name: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""ApplyParameters will restart the set of specified + nodes in order to update them to the current set of + parameters for the Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_apply_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.ApplyParametersRequest, dict]): + The request object. Request for + [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. + name (:class:`str`): + Required. Resource name of the + Memcached instance for which parameter + group updates should be applied. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (:class:`Sequence[str]`): + Nodes to which we should apply the + instance-level parameter group. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (:class:`bool`): + Whether to apply instance-level + parameter group to all nodes. If set to + true, will explicitly restrict users + from specifying any nodes, and apply + parameter group updates to all nodes + within the instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.ApplyParametersRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if apply_all is not None: + request.apply_all = apply_all + if node_ids: + request.node_ids.extend(node_ids) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.apply_parameters, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self): + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + "google-cloud-memcache", + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +__all__ = ( + "CloudMemcacheAsyncClient", +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py new file mode 100644 index 0000000..6db9fe3 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py @@ -0,0 +1,1289 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import os +import re +from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union +import pkg_resources + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.memcache_v1.services.cloud_memcache import pagers +from google.cloud.memcache_v1.types import cloud_memcache +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import CloudMemcacheGrpcTransport +from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport + + +class CloudMemcacheClientMeta(type): + """Metaclass for the CloudMemcache client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + _transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] + _transport_registry["grpc"] = CloudMemcacheGrpcTransport + _transport_registry["grpc_asyncio"] = CloudMemcacheGrpcAsyncIOTransport + + def get_transport_class(cls, + label: str = None, + ) -> Type[CloudMemcacheTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class CloudMemcacheClient(metaclass=CloudMemcacheClientMeta): + """Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + DEFAULT_ENDPOINT = "memcache.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file( + filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> CloudMemcacheTransport: + """Returns the transport used by the client instance. + + Returns: + CloudMemcacheTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def instance_path(project: str,location: str,instance: str,) -> str: + """Returns a fully-qualified instance string.""" + return "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) + + @staticmethod + def parse_instance_path(path: str) -> Dict[str,str]: + """Parses a instance path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/instances/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path(billing_account: str, ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str,str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path(folder: str, ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format(folder=folder, ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str,str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path(organization: str, ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format(organization=organization, ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str,str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path(project: str, ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format(project=project, ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str,str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path(project: str, location: str, ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format(project=project, location=location, ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str,str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variabel is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert == "true": + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Union[str, CloudMemcacheTransport, None] = None, + client_options: Optional[client_options_lib.ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the cloud memcache client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, CloudMemcacheTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. It won't take effect if a ``transport`` instance is provided. + (1) The ``api_endpoint`` property can be used to override the + default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT + environment variable can also be used to override the endpoint: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto switch to the + default mTLS endpoint if client certificate is present, this is + the default value). However, the ``api_endpoint`` property takes + precedence if provided. + (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide client certificate for mutual TLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + if isinstance(client_options, dict): + client_options = client_options_lib.from_dict(client_options) + if client_options is None: + client_options = client_options_lib.ClientOptions() + + api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(client_options) + + api_key_value = getattr(client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError("client_options.api_key and credentials are mutually exclusive") + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + if isinstance(transport, CloudMemcacheTransport): + # transport is a CloudMemcacheTransport instance. + if credentials or client_options.credentials_file or api_key_value: + raise ValueError("When providing a transport instance, " + "provide its credentials directly.") + if client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = transport + else: + import google.auth._default # type: ignore + + if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): + credentials = google.auth._default.get_api_key_credentials(api_key_value) + + Transport = type(self).get_transport_class(transport) + self._transport = Transport( + credentials=credentials, + credentials_file=client_options.credentials_file, + host=api_endpoint, + scopes=client_options.scopes, + client_cert_source_for_mtls=client_cert_source_func, + quota_project_id=client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=client_options.api_audience, + ) + + def list_instances(self, + request: Union[cloud_memcache.ListInstancesRequest, dict] = None, + *, + parent: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListInstancesPager: + r"""Lists Instances in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_list_instances(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]): + The request object. Request for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + parent (str): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesPager: + Response for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.ListInstancesRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.ListInstancesRequest): + request = cloud_memcache.ListInstancesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_instances] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListInstancesPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_instance(self, + request: Union[cloud_memcache.GetInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> cloud_memcache.Instance: + r"""Gets details of a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_get_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = client.get_instance(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]): + The request object. Request for + [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. + name (str): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1.types.Instance: + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.GetInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.GetInstanceRequest): + request = cloud_memcache.GetInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def create_instance(self, + request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, + *, + parent: str = None, + instance: cloud_memcache.Instance = None, + instance_id: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Creates a new Instance in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_create_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + instance=instance, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]): + The request object. Request for + [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. + parent (str): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance (google.cloud.memcache_v1.types.Instance): + Required. A Memcached Instance + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance_id (str): + Required. The logical name of the Memcached instance in + the user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location + + If any of the above are not met, will raise an invalid + argument error. + + This corresponds to the ``instance_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, instance, instance_id]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.CreateInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.CreateInstanceRequest): + request = cloud_memcache.CreateInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if instance is not None: + request.instance = instance + if instance_id is not None: + request.instance_id = instance_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def update_instance(self, + request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, + *, + instance: cloud_memcache.Instance = None, + update_mask: field_mask_pb2.FieldMask = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates an existing Instance in a given project and + location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_update_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.UpdateInstanceRequest( + instance=instance, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]): + The request object. Request for + [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. + instance (google.cloud.memcache_v1.types.Instance): + Required. A Memcached Instance. Only fields specified in + update_mask are updated. + + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + + - ``displayName`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([instance, update_mask]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.UpdateInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.UpdateInstanceRequest): + request = cloud_memcache.UpdateInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if instance is not None: + request.instance = instance + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("instance.name", request.instance.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def update_parameters(self, + request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, + *, + name: str = None, + update_mask: field_mask_pb2.FieldMask = None, + parameters: cloud_memcache.MemcacheParameters = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates the defined Memcached Parameters for an + existing Instance. This method only stages the + parameters, it must be followed by ApplyParameters to + apply the parameters to nodes of the Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_update_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.UpdateParametersRequest, dict]): + The request object. Request for + [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. + name (str): + Required. Resource name of the + Memcached instance for which the + parameters should be updated. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + parameters (google.cloud.memcache_v1.types.MemcacheParameters): + The parameters to apply to the + instance. + + This corresponds to the ``parameters`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, update_mask, parameters]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.UpdateParametersRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.UpdateParametersRequest): + request = cloud_memcache.UpdateParametersRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if update_mask is not None: + request.update_mask = update_mask + if parameters is not None: + request.parameters = parameters + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_parameters] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def delete_instance(self, + request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deletes a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_delete_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]): + The request object. Request for + [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. + name (str): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + The JSON representation for Empty is empty JSON + object {}. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.DeleteInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.DeleteInstanceRequest): + request = cloud_memcache.DeleteInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def apply_parameters(self, + request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, + *, + name: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""ApplyParameters will restart the set of specified + nodes in order to update them to the current set of + parameters for the Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_apply_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.ApplyParametersRequest, dict]): + The request object. Request for + [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. + name (str): + Required. Resource name of the + Memcached instance for which parameter + group updates should be applied. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (Sequence[str]): + Nodes to which we should apply the + instance-level parameter group. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (bool): + Whether to apply instance-level + parameter group to all nodes. If set to + true, will explicitly restrict users + from specifying any nodes, and apply + parameter group updates to all nodes + within the instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.ApplyParametersRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.ApplyParametersRequest): + request = cloud_memcache.ApplyParametersRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if node_ids is not None: + request.node_ids = node_ids + if apply_all is not None: + request.apply_all = apply_all + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.apply_parameters] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self): + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + + + + + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + "google-cloud-memcache", + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +__all__ = ( + "CloudMemcacheClient", +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py new file mode 100644 index 0000000..72ba239 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py @@ -0,0 +1,139 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator + +from google.cloud.memcache_v1.types import cloud_memcache + + +class ListInstancesPager: + """A pager for iterating through ``list_instances`` requests. + + This class thinly wraps an initial + :class:`google.cloud.memcache_v1.types.ListInstancesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``instances`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListInstances`` requests and continue to iterate + through the ``instances`` field on the + corresponding responses. + + All the usual :class:`google.cloud.memcache_v1.types.ListInstancesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., cloud_memcache.ListInstancesResponse], + request: cloud_memcache.ListInstancesRequest, + response: cloud_memcache.ListInstancesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.memcache_v1.types.ListInstancesRequest): + The initial request object. + response (google.cloud.memcache_v1.types.ListInstancesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = cloud_memcache.ListInstancesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[cloud_memcache.ListInstancesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[cloud_memcache.Instance]: + for page in self.pages: + yield from page.instances + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListInstancesAsyncPager: + """A pager for iterating through ``list_instances`` requests. + + This class thinly wraps an initial + :class:`google.cloud.memcache_v1.types.ListInstancesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``instances`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListInstances`` requests and continue to iterate + through the ``instances`` field on the + corresponding responses. + + All the usual :class:`google.cloud.memcache_v1.types.ListInstancesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[cloud_memcache.ListInstancesResponse]], + request: cloud_memcache.ListInstancesRequest, + response: cloud_memcache.ListInstancesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.memcache_v1.types.ListInstancesRequest): + The initial request object. + response (google.cloud.memcache_v1.types.ListInstancesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = cloud_memcache.ListInstancesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[cloud_memcache.ListInstancesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[cloud_memcache.Instance]: + async def async_generator(): + async for page in self.pages: + for response in page.instances: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py new file mode 100644 index 0000000..6067238 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type + +from .base import CloudMemcacheTransport +from .grpc import CloudMemcacheGrpcTransport +from .grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] +_transport_registry['grpc'] = CloudMemcacheGrpcTransport +_transport_registry['grpc_asyncio'] = CloudMemcacheGrpcAsyncIOTransport + +__all__ = ( + 'CloudMemcacheTransport', + 'CloudMemcacheGrpcTransport', + 'CloudMemcacheGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py new file mode 100644 index 0000000..2d241a2 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py @@ -0,0 +1,245 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union +import pkg_resources + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +from google.cloud.memcache_v1.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + 'google-cloud-memcache', + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +class CloudMemcacheTransport(abc.ABC): + """Abstract transport class for CloudMemcache.""" + + AUTH_SCOPES = ( + 'https://www.googleapis.com/auth/cloud-platform', + ) + + DEFAULT_HOST: str = 'memcache.googleapis.com' + def __init__( + self, *, + host: str = DEFAULT_HOST, + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} + + # Save the scopes. + self._scopes = scopes + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + **scopes_kwargs, + quota_project_id=quota_project_id + ) + elif credentials is None: + credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience(api_audience if api_audience else host) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ':' not in host: + host += ':443' + self._host = host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.list_instances: gapic_v1.method.wrap_method( + self.list_instances, + default_timeout=1200.0, + client_info=client_info, + ), + self.get_instance: gapic_v1.method.wrap_method( + self.get_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.create_instance: gapic_v1.method.wrap_method( + self.create_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.update_instance: gapic_v1.method.wrap_method( + self.update_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.update_parameters: gapic_v1.method.wrap_method( + self.update_parameters, + default_timeout=1200.0, + client_info=client_info, + ), + self.delete_instance: gapic_v1.method.wrap_method( + self.delete_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.apply_parameters: gapic_v1.method.wrap_method( + self.apply_parameters, + default_timeout=1200.0, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + Union[ + cloud_memcache.ListInstancesResponse, + Awaitable[cloud_memcache.ListInstancesResponse] + ]]: + raise NotImplementedError() + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + Union[ + cloud_memcache.Instance, + Awaitable[cloud_memcache.Instance] + ]]: + raise NotImplementedError() + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ( + 'CloudMemcacheTransport', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py new file mode 100644 index 0000000..fc10b60 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py @@ -0,0 +1,463 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore + +from google.cloud.memcache_v1.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore +from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO + + +class CloudMemcacheGrpcTransport(CloudMemcacheTransport): + """gRPC backend transport for CloudMemcache. + + Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + _stubs: Dict[str, Callable] + + def __init__(self, *, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: str = None, + scopes: Sequence[str] = None, + channel: grpc.Channel = None, + api_mtls_endpoint: str = None, + client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, + ssl_channel_credentials: grpc.ChannelCredentials = None, + client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + channel (Optional[grpc.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel(cls, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: str = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service. + """ + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + cloud_memcache.ListInstancesResponse]: + r"""Return a callable for the list instances method over gRPC. + + Lists Instances in a given location. + + Returns: + Callable[[~.ListInstancesRequest], + ~.ListInstancesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_instances' not in self._stubs: + self._stubs['list_instances'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/ListInstances', + request_serializer=cloud_memcache.ListInstancesRequest.serialize, + response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, + ) + return self._stubs['list_instances'] + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + cloud_memcache.Instance]: + r"""Return a callable for the get instance method over gRPC. + + Gets details of a single Instance. + + Returns: + Callable[[~.GetInstanceRequest], + ~.Instance]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_instance' not in self._stubs: + self._stubs['get_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/GetInstance', + request_serializer=cloud_memcache.GetInstanceRequest.serialize, + response_deserializer=cloud_memcache.Instance.deserialize, + ) + return self._stubs['get_instance'] + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the create instance method over gRPC. + + Creates a new Instance in a given location. + + Returns: + Callable[[~.CreateInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_instance' not in self._stubs: + self._stubs['create_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/CreateInstance', + request_serializer=cloud_memcache.CreateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['create_instance'] + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the update instance method over gRPC. + + Updates an existing Instance in a given project and + location. + + Returns: + Callable[[~.UpdateInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_instance' not in self._stubs: + self._stubs['update_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/UpdateInstance', + request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_instance'] + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + operations_pb2.Operation]: + r"""Return a callable for the update parameters method over gRPC. + + Updates the defined Memcached Parameters for an + existing Instance. This method only stages the + parameters, it must be followed by ApplyParameters to + apply the parameters to nodes of the Memcached Instance. + + Returns: + Callable[[~.UpdateParametersRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_parameters' not in self._stubs: + self._stubs['update_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/UpdateParameters', + request_serializer=cloud_memcache.UpdateParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_parameters'] + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the delete instance method over gRPC. + + Deletes a single Instance. + + Returns: + Callable[[~.DeleteInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_instance' not in self._stubs: + self._stubs['delete_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/DeleteInstance', + request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_instance'] + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + operations_pb2.Operation]: + r"""Return a callable for the apply parameters method over gRPC. + + ApplyParameters will restart the set of specified + nodes in order to update them to the current set of + parameters for the Memcached Instance. + + Returns: + Callable[[~.ApplyParametersRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_parameters' not in self._stubs: + self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/ApplyParameters', + request_serializer=cloud_memcache.ApplyParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_parameters'] + + def close(self): + self.grpc_channel.close() + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ( + 'CloudMemcacheGrpcTransport', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py new file mode 100644 index 0000000..fb5e898 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py @@ -0,0 +1,462 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.memcache_v1.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore +from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .grpc import CloudMemcacheGrpcTransport + + +class CloudMemcacheGrpcAsyncIOTransport(CloudMemcacheTransport): + """gRPC AsyncIO backend transport for CloudMemcache. + + Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel(cls, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + def __init__(self, *, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: aio.Channel = None, + api_mtls_endpoint: str = None, + client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, + ssl_channel_credentials: grpc.ChannelCredentials = None, + client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, + quota_project_id=None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[aio.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + Awaitable[cloud_memcache.ListInstancesResponse]]: + r"""Return a callable for the list instances method over gRPC. + + Lists Instances in a given location. + + Returns: + Callable[[~.ListInstancesRequest], + Awaitable[~.ListInstancesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_instances' not in self._stubs: + self._stubs['list_instances'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/ListInstances', + request_serializer=cloud_memcache.ListInstancesRequest.serialize, + response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, + ) + return self._stubs['list_instances'] + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + Awaitable[cloud_memcache.Instance]]: + r"""Return a callable for the get instance method over gRPC. + + Gets details of a single Instance. + + Returns: + Callable[[~.GetInstanceRequest], + Awaitable[~.Instance]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_instance' not in self._stubs: + self._stubs['get_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/GetInstance', + request_serializer=cloud_memcache.GetInstanceRequest.serialize, + response_deserializer=cloud_memcache.Instance.deserialize, + ) + return self._stubs['get_instance'] + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the create instance method over gRPC. + + Creates a new Instance in a given location. + + Returns: + Callable[[~.CreateInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_instance' not in self._stubs: + self._stubs['create_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/CreateInstance', + request_serializer=cloud_memcache.CreateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['create_instance'] + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the update instance method over gRPC. + + Updates an existing Instance in a given project and + location. + + Returns: + Callable[[~.UpdateInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_instance' not in self._stubs: + self._stubs['update_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/UpdateInstance', + request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_instance'] + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the update parameters method over gRPC. + + Updates the defined Memcached Parameters for an + existing Instance. This method only stages the + parameters, it must be followed by ApplyParameters to + apply the parameters to nodes of the Memcached Instance. + + Returns: + Callable[[~.UpdateParametersRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_parameters' not in self._stubs: + self._stubs['update_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/UpdateParameters', + request_serializer=cloud_memcache.UpdateParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_parameters'] + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the delete instance method over gRPC. + + Deletes a single Instance. + + Returns: + Callable[[~.DeleteInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_instance' not in self._stubs: + self._stubs['delete_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/DeleteInstance', + request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_instance'] + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the apply parameters method over gRPC. + + ApplyParameters will restart the set of specified + nodes in order to update them to the current set of + parameters for the Memcached Instance. + + Returns: + Callable[[~.ApplyParametersRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_parameters' not in self._stubs: + self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/ApplyParameters', + request_serializer=cloud_memcache.ApplyParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_parameters'] + + def close(self): + return self.grpc_channel.close() + + +__all__ = ( + 'CloudMemcacheGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py new file mode 100644 index 0000000..32b3497 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py @@ -0,0 +1,44 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .cloud_memcache import ( + ApplyParametersRequest, + CreateInstanceRequest, + DeleteInstanceRequest, + GetInstanceRequest, + Instance, + ListInstancesRequest, + ListInstancesResponse, + MemcacheParameters, + OperationMetadata, + UpdateInstanceRequest, + UpdateParametersRequest, + MemcacheVersion, +) + +__all__ = ( + 'ApplyParametersRequest', + 'CreateInstanceRequest', + 'DeleteInstanceRequest', + 'GetInstanceRequest', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'MemcacheParameters', + 'OperationMetadata', + 'UpdateInstanceRequest', + 'UpdateParametersRequest', + 'MemcacheVersion', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py b/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py new file mode 100644 index 0000000..f575bf7 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py @@ -0,0 +1,656 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import proto # type: ignore + +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.memcache.v1', + manifest={ + 'MemcacheVersion', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'GetInstanceRequest', + 'CreateInstanceRequest', + 'UpdateInstanceRequest', + 'DeleteInstanceRequest', + 'ApplyParametersRequest', + 'UpdateParametersRequest', + 'MemcacheParameters', + 'OperationMetadata', + }, +) + + +class MemcacheVersion(proto.Enum): + r"""Memcached versions supported by our service.""" + MEMCACHE_VERSION_UNSPECIFIED = 0 + MEMCACHE_1_5 = 1 + + +class Instance(proto.Message): + r""" + + Attributes: + name (str): + Required. Unique name of the resource in this scope + including project and location using the form: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note: Memcached instances are managed and addressed at + regional level so location_id here refers to a GCP region; + however, users may choose which zones Memcached nodes within + an instances should be provisioned in. Refer to [zones] + field for more details. + display_name (str): + User provided name for the instance only used + for display purposes. Cannot be more than 80 + characters. + labels (Mapping[str, str]): + Resource labels to represent user-provided + metadata. Refer to cloud documentation on labels + for more details. + https://cloud.google.com/compute/docs/labeling-resources + authorized_network (str): + The full name of the Google Compute Engine + `network `__ + to which the instance is connected. If left unspecified, the + ``default`` network will be used. + zones (Sequence[str]): + Zones where Memcached nodes should be + provisioned in. Memcached nodes will be equally + distributed across these zones. If not provided, + the service will by default create nodes in all + zones in the region for the instance. + node_count (int): + Required. Number of nodes in the Memcached + instance. + node_config (google.cloud.memcache_v1.types.Instance.NodeConfig): + Required. Configuration for Memcached nodes. + memcache_version (google.cloud.memcache_v1.types.MemcacheVersion): + The major version of Memcached software. If not provided, + latest supported version will be used. Currently the latest + supported major version is MEMCACHE_1_5. The minor version + will be automatically determined by our system based on the + latest supported minor version. + parameters (google.cloud.memcache_v1.types.MemcacheParameters): + Optional: User defined parameters to apply to + the memcached process on each node. + memcache_nodes (Sequence[google.cloud.memcache_v1.types.Instance.Node]): + Output only. List of Memcached nodes. Refer to [Node] + message for more details. + create_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. The time the instance was + created. + update_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. The time the instance was + updated. + state (google.cloud.memcache_v1.types.Instance.State): + Output only. The state of this Memcached + instance. + memcache_full_version (str): + Output only. The full version of memcached + server running on this instance. System + automatically determines the full memcached + version for an instance based on the input + MemcacheVersion. + The full version format will be + "memcached-1.5.16". + instance_messages (Sequence[google.cloud.memcache_v1.types.Instance.InstanceMessage]): + List of messages that describe current + statuses of memcached instance. + discovery_endpoint (str): + Output only. Endpoint for Discovery API + """ + class State(proto.Enum): + r"""Different states of a Memcached instance.""" + STATE_UNSPECIFIED = 0 + CREATING = 1 + READY = 2 + DELETING = 4 + PERFORMING_MAINTENANCE = 5 + + class NodeConfig(proto.Message): + r"""Configuration for a Memcached Node. + + Attributes: + cpu_count (int): + Required. Number of cpus per Memcached node. + memory_size_mb (int): + Required. Memory size in MiB for each + Memcached node. + """ + + cpu_count = proto.Field( + proto.INT32, + number=1, + ) + memory_size_mb = proto.Field( + proto.INT32, + number=2, + ) + + class Node(proto.Message): + r""" + + Attributes: + node_id (str): + Output only. Identifier of the Memcached + node. The node id does not include project or + location like the Memcached instance name. + zone (str): + Output only. Location (GCP Zone) for the + Memcached node. + state (google.cloud.memcache_v1.types.Instance.Node.State): + Output only. Current state of the Memcached + node. + host (str): + Output only. Hostname or IP address of the + Memcached node used by the clients to connect to + the Memcached server on this node. + port (int): + Output only. The port number of the Memcached + server on this node. + parameters (google.cloud.memcache_v1.types.MemcacheParameters): + User defined parameters currently applied to + the node. + """ + class State(proto.Enum): + r"""Different states of a Memcached node.""" + STATE_UNSPECIFIED = 0 + CREATING = 1 + READY = 2 + DELETING = 3 + UPDATING = 4 + + node_id = proto.Field( + proto.STRING, + number=1, + ) + zone = proto.Field( + proto.STRING, + number=2, + ) + state = proto.Field( + proto.ENUM, + number=3, + enum='Instance.Node.State', + ) + host = proto.Field( + proto.STRING, + number=4, + ) + port = proto.Field( + proto.INT32, + number=5, + ) + parameters = proto.Field( + proto.MESSAGE, + number=6, + message='MemcacheParameters', + ) + + class InstanceMessage(proto.Message): + r""" + + Attributes: + code (google.cloud.memcache_v1.types.Instance.InstanceMessage.Code): + A code that correspond to one type of + user-facing message. + message (str): + Message on memcached instance which will be + exposed to users. + """ + class Code(proto.Enum): + r"""""" + CODE_UNSPECIFIED = 0 + ZONE_DISTRIBUTION_UNBALANCED = 1 + + code = proto.Field( + proto.ENUM, + number=1, + enum='Instance.InstanceMessage.Code', + ) + message = proto.Field( + proto.STRING, + number=2, + ) + + name = proto.Field( + proto.STRING, + number=1, + ) + display_name = proto.Field( + proto.STRING, + number=2, + ) + labels = proto.MapField( + proto.STRING, + proto.STRING, + number=3, + ) + authorized_network = proto.Field( + proto.STRING, + number=4, + ) + zones = proto.RepeatedField( + proto.STRING, + number=5, + ) + node_count = proto.Field( + proto.INT32, + number=6, + ) + node_config = proto.Field( + proto.MESSAGE, + number=7, + message=NodeConfig, + ) + memcache_version = proto.Field( + proto.ENUM, + number=9, + enum='MemcacheVersion', + ) + parameters = proto.Field( + proto.MESSAGE, + number=11, + message='MemcacheParameters', + ) + memcache_nodes = proto.RepeatedField( + proto.MESSAGE, + number=12, + message=Node, + ) + create_time = proto.Field( + proto.MESSAGE, + number=13, + message=timestamp_pb2.Timestamp, + ) + update_time = proto.Field( + proto.MESSAGE, + number=14, + message=timestamp_pb2.Timestamp, + ) + state = proto.Field( + proto.ENUM, + number=15, + enum=State, + ) + memcache_full_version = proto.Field( + proto.STRING, + number=18, + ) + instance_messages = proto.RepeatedField( + proto.MESSAGE, + number=19, + message=InstanceMessage, + ) + discovery_endpoint = proto.Field( + proto.STRING, + number=20, + ) + + +class ListInstancesRequest(proto.Message): + r"""Request for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + + Attributes: + parent (str): + Required. The resource name of the instance location using + the form: ``projects/{project_id}/locations/{location_id}`` + where ``location_id`` refers to a GCP region + page_size (int): + The maximum number of items to return. + + If not specified, a default value of 1000 will be used by + the service. Regardless of the page_size value, the response + may include a partial list and a caller should only rely on + response's + [next_page_token][CloudMemcache.ListInstancesResponse.next_page_token] + to determine if there are more instances left to be queried. + page_token (str): + The next_page_token value returned from a previous List + request, if any. + filter (str): + List filter. For example, exclude all + Memcached instances with name as my-instance by + specifying "name != my-instance". + order_by (str): + Sort results. Supported values are "name", + "name desc" or "" (unsorted). + """ + + parent = proto.Field( + proto.STRING, + number=1, + ) + page_size = proto.Field( + proto.INT32, + number=2, + ) + page_token = proto.Field( + proto.STRING, + number=3, + ) + filter = proto.Field( + proto.STRING, + number=4, + ) + order_by = proto.Field( + proto.STRING, + number=5, + ) + + +class ListInstancesResponse(proto.Message): + r"""Response for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + + Attributes: + instances (Sequence[google.cloud.memcache_v1.types.Instance]): + A list of Memcached instances in the project in the + specified location, or across all locations. + + If the ``location_id`` in the parent field of the request is + "-", all regions available to the project are queried, and + the results aggregated. + next_page_token (str): + Token to retrieve the next page of results, + or empty if there are no more results in the + list. + unreachable (Sequence[str]): + Locations that could not be reached. + """ + + @property + def raw_page(self): + return self + + instances = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Instance', + ) + next_page_token = proto.Field( + proto.STRING, + number=2, + ) + unreachable = proto.RepeatedField( + proto.STRING, + number=3, + ) + + +class GetInstanceRequest(proto.Message): + r"""Request for + [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. + + Attributes: + name (str): + Required. Memcached instance resource name in the format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + + +class CreateInstanceRequest(proto.Message): + r"""Request for + [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. + + Attributes: + parent (str): + Required. The resource name of the instance location using + the form: ``projects/{project_id}/locations/{location_id}`` + where ``location_id`` refers to a GCP region + instance_id (str): + Required. The logical name of the Memcached instance in the + user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location + + If any of the above are not met, will raise an invalid + argument error. + instance (google.cloud.memcache_v1.types.Instance): + Required. A Memcached Instance + """ + + parent = proto.Field( + proto.STRING, + number=1, + ) + instance_id = proto.Field( + proto.STRING, + number=2, + ) + instance = proto.Field( + proto.MESSAGE, + number=3, + message='Instance', + ) + + +class UpdateInstanceRequest(proto.Message): + r"""Request for + [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. + + Attributes: + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + + - ``displayName`` + instance (google.cloud.memcache_v1.types.Instance): + Required. A Memcached Instance. Only fields specified in + update_mask are updated. + """ + + update_mask = proto.Field( + proto.MESSAGE, + number=1, + message=field_mask_pb2.FieldMask, + ) + instance = proto.Field( + proto.MESSAGE, + number=2, + message='Instance', + ) + + +class DeleteInstanceRequest(proto.Message): + r"""Request for + [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. + + Attributes: + name (str): + Required. Memcached instance resource name in the format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + + +class ApplyParametersRequest(proto.Message): + r"""Request for + [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. + + Attributes: + name (str): + Required. Resource name of the Memcached + instance for which parameter group updates + should be applied. + node_ids (Sequence[str]): + Nodes to which we should apply the + instance-level parameter group. + apply_all (bool): + Whether to apply instance-level parameter + group to all nodes. If set to true, will + explicitly restrict users from specifying any + nodes, and apply parameter group updates to all + nodes within the instance. + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + node_ids = proto.RepeatedField( + proto.STRING, + number=2, + ) + apply_all = proto.Field( + proto.BOOL, + number=3, + ) + + +class UpdateParametersRequest(proto.Message): + r"""Request for + [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. + + Attributes: + name (str): + Required. Resource name of the Memcached + instance for which the parameters should be + updated. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + parameters (google.cloud.memcache_v1.types.MemcacheParameters): + The parameters to apply to the instance. + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + update_mask = proto.Field( + proto.MESSAGE, + number=2, + message=field_mask_pb2.FieldMask, + ) + parameters = proto.Field( + proto.MESSAGE, + number=3, + message='MemcacheParameters', + ) + + +class MemcacheParameters(proto.Message): + r""" + + Attributes: + id (str): + Output only. The unique ID associated with + this set of parameters. Users can use this id to + determine if the parameters associated with the + instance differ from the parameters associated + with the nodes and any action needs to be taken + to apply parameters on nodes. + params (Mapping[str, str]): + User defined set of parameters to use in the + memcached process. + """ + + id = proto.Field( + proto.STRING, + number=1, + ) + params = proto.MapField( + proto.STRING, + proto.STRING, + number=3, + ) + + +class OperationMetadata(proto.Message): + r"""Represents the metadata of a long-running operation. + + Attributes: + create_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. Time when the operation was + created. + end_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. Time when the operation finished + running. + target (str): + Output only. Server-defined resource path for + the target of the operation. + verb (str): + Output only. Name of the verb executed by the + operation. + status_detail (str): + Output only. Human-readable status of the + operation, if any. + cancel_requested (bool): + Output only. Identifies whether the user has requested + cancellation of the operation. Operations that have + successfully been cancelled have [Operation.error][] value + with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``. + api_version (str): + Output only. API version used to start the + operation. + """ + + create_time = proto.Field( + proto.MESSAGE, + number=1, + message=timestamp_pb2.Timestamp, + ) + end_time = proto.Field( + proto.MESSAGE, + number=2, + message=timestamp_pb2.Timestamp, + ) + target = proto.Field( + proto.STRING, + number=3, + ) + verb = proto.Field( + proto.STRING, + number=4, + ) + status_detail = proto.Field( + proto.STRING, + number=5, + ) + cancel_requested = proto.Field( + proto.BOOL, + number=6, + ) + api_version = proto.Field( + proto.STRING, + number=7, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/v1/mypy.ini b/owl-bot-staging/v1/mypy.ini new file mode 100644 index 0000000..4505b48 --- /dev/null +++ b/owl-bot-staging/v1/mypy.ini @@ -0,0 +1,3 @@ +[mypy] +python_version = 3.6 +namespace_packages = True diff --git a/owl-bot-staging/v1/noxfile.py b/owl-bot-staging/v1/noxfile.py new file mode 100644 index 0000000..6092e7d --- /dev/null +++ b/owl-bot-staging/v1/noxfile.py @@ -0,0 +1,180 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +import pathlib +import shutil +import subprocess +import sys + + +import nox # type: ignore + +ALL_PYTHON = [ + "3.6", + "3.7", + "3.8", + "3.9", + "3.10", +] + +CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() + +LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" +PACKAGE_NAME = subprocess.check_output([sys.executable, "setup.py", "--name"], encoding="utf-8") + +BLACK_VERSION = "black==19.10b0" +BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] +DEFAULT_PYTHON_VERSION = "3.9" + +nox.sessions = [ + "unit", + "cover", + "mypy", + "check_lower_bounds" + # exclude update_lower_bounds from default + "docs", + "blacken", + "lint", + "lint_setup_py", +] + +@nox.session(python=ALL_PYTHON) +def unit(session): + """Run the unit test suite.""" + + session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') + session.install('-e', '.') + + session.run( + 'py.test', + '--quiet', + '--cov=google/cloud/memcache_v1/', + '--cov=tests/', + '--cov-config=.coveragerc', + '--cov-report=term', + '--cov-report=html', + os.path.join('tests', 'unit', ''.join(session.posargs)) + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def cover(session): + """Run the final coverage report. + This outputs the coverage report aggregating coverage from the unit + test runs (not system test runs), and then erases coverage data. + """ + session.install("coverage", "pytest-cov") + session.run("coverage", "report", "--show-missing", "--fail-under=100") + + session.run("coverage", "erase") + + +@nox.session(python=ALL_PYTHON) +def mypy(session): + """Run the type checker.""" + session.install('mypy', 'types-pkg_resources') + session.install('.') + session.run( + 'mypy', + '--explicit-package-bases', + 'google', + ) + + +@nox.session +def update_lower_bounds(session): + """Update lower bounds in constraints.txt to match setup.py""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'update', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + + +@nox.session +def check_lower_bounds(session): + """Check lower bounds in setup.py are reflected in constraints file""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'check', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def docs(session): + """Build the docs for this library.""" + + session.install("-e", ".") + session.install("sphinx==4.0.1", "alabaster", "recommonmark") + + shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) + session.run( + "sphinx-build", + "-W", # warnings as errors + "-T", # show full traceback on exception + "-N", # no colors + "-b", + "html", + "-d", + os.path.join("docs", "_build", "doctrees", ""), + os.path.join("docs", ""), + os.path.join("docs", "_build", "html", ""), + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint(session): + """Run linters. + + Returns a failure if the linters find linting errors or sufficiently + serious code quality issues. + """ + session.install("flake8", BLACK_VERSION) + session.run( + "black", + "--check", + *BLACK_PATHS, + ) + session.run("flake8", "google", "tests", "samples") + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def blacken(session): + """Run black. Format code to uniform standard.""" + session.install(BLACK_VERSION) + session.run( + "black", + *BLACK_PATHS, + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint_setup_py(session): + """Verify that setup.py is valid (including RST check).""" + session.install("docutils", "pygments") + session.run("python", "setup.py", "check", "--restructuredtext", "--strict") diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py new file mode 100644 index 0000000..dccf400 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplyParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_ApplyParameters_async] +from google.cloud import memcache_v1 + + +async def sample_apply_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_ApplyParameters_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py new file mode 100644 index 0000000..f6a6bd9 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplyParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_ApplyParameters_sync] +from google.cloud import memcache_v1 + + +def sample_apply_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_ApplyParameters_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py new file mode 100644 index 0000000..44f2f0b --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_CreateInstance_async] +from google.cloud import memcache_v1 + + +async def sample_create_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + instance=instance, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_CreateInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py new file mode 100644 index 0000000..3be4489 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_CreateInstance_sync] +from google.cloud import memcache_v1 + + +def sample_create_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + instance=instance, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_CreateInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py new file mode 100644 index 0000000..754d26f --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_DeleteInstance_async] +from google.cloud import memcache_v1 + + +async def sample_delete_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_DeleteInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py new file mode 100644 index 0000000..767510e --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_DeleteInstance_sync] +from google.cloud import memcache_v1 + + +def sample_delete_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_DeleteInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py new file mode 100644 index 0000000..f562215 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py @@ -0,0 +1,45 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_GetInstance_async] +from google.cloud import memcache_v1 + + +async def sample_get_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = await client.get_instance(request=request) + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_GetInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py new file mode 100644 index 0000000..c470181 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py @@ -0,0 +1,45 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_GetInstance_sync] +from google.cloud import memcache_v1 + + +def sample_get_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = client.get_instance(request=request) + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_GetInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py new file mode 100644 index 0000000..7516120 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py @@ -0,0 +1,46 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListInstances +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_ListInstances_async] +from google.cloud import memcache_v1 + + +async def sample_list_instances(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END memcache_v1_generated_CloudMemcache_ListInstances_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py new file mode 100644 index 0000000..c5ee139 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py @@ -0,0 +1,46 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListInstances +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_ListInstances_sync] +from google.cloud import memcache_v1 + + +def sample_list_instances(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END memcache_v1_generated_CloudMemcache_ListInstances_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py new file mode 100644 index 0000000..e078aeb --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py @@ -0,0 +1,55 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_UpdateInstance_async] +from google.cloud import memcache_v1 + + +async def sample_update_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.UpdateInstanceRequest( + instance=instance, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_UpdateInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py new file mode 100644 index 0000000..711c064 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py @@ -0,0 +1,55 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_UpdateInstance_sync] +from google.cloud import memcache_v1 + + +def sample_update_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.UpdateInstanceRequest( + instance=instance, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_UpdateInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py new file mode 100644 index 0000000..9020743 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_UpdateParameters_async] +from google.cloud import memcache_v1 + + +async def sample_update_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_UpdateParameters_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py new file mode 100644 index 0000000..4044531 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_UpdateParameters_sync] +from google.cloud import memcache_v1 + + +def sample_update_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_UpdateParameters_sync] diff --git 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"REQUEST_EXECUTION" + }, + { + "end": 49, + "start": 46, + "type": "RESPONSE_HANDLING" + } + ], + "title": "memcache_v1_generated_cloud_memcache_update_parameters_sync.py" + } + ] +} diff --git a/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py b/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py new file mode 100644 index 0000000..84308d4 --- /dev/null +++ b/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py @@ -0,0 +1,182 @@ +#! /usr/bin/env python3 +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import argparse +import os +import libcst as cst +import pathlib +import sys +from typing import (Any, Callable, Dict, List, Sequence, Tuple) + + +def partition( + predicate: Callable[[Any], bool], + iterator: Sequence[Any] +) -> Tuple[List[Any], List[Any]]: + """A stable, out-of-place partition.""" + results = ([], []) + + for i in iterator: + results[int(predicate(i))].append(i) + + # Returns trueList, falseList + return results[1], results[0] + + +class memcacheCallTransformer(cst.CSTTransformer): + CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') + METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { + 'apply_parameters': ('name', 'node_ids', 'apply_all', ), + 'create_instance': ('parent', 'instance_id', 'instance', ), + 'delete_instance': ('name', ), + 'get_instance': ('name', ), + 'list_instances': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ), + 'update_instance': ('update_mask', 'instance', ), + 'update_parameters': ('name', 'update_mask', 'parameters', ), + } + + def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: + try: + key = original.func.attr.value + kword_params = self.METHOD_TO_PARAMS[key] + except (AttributeError, KeyError): + # Either not a method from the API or too convoluted to be sure. + return updated + + # If the existing code is valid, keyword args come after positional args. + # Therefore, all positional args must map to the first parameters. + args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) + if any(k.keyword.value == "request" for k in kwargs): + # We've already fixed this file, don't fix it again. + return updated + + kwargs, ctrl_kwargs = partition( + lambda a: a.keyword.value not in self.CTRL_PARAMS, + kwargs + ) + + args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] + ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) + for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) + + request_arg = cst.Arg( + value=cst.Dict([ + cst.DictElement( + cst.SimpleString("'{}'".format(name)), +cst.Element(value=arg.value) + ) + # Note: the args + kwargs looks silly, but keep in mind that + # the control parameters had to be stripped out, and that + # those could have been passed positionally or by keyword. + for name, arg in zip(kword_params, args + kwargs)]), + keyword=cst.Name("request") + ) + + return updated.with_changes( + args=[request_arg] + ctrl_kwargs + ) + + +def fix_files( + in_dir: pathlib.Path, + out_dir: pathlib.Path, + *, + transformer=memcacheCallTransformer(), +): + """Duplicate the input dir to the output dir, fixing file method calls. + + Preconditions: + * in_dir is a real directory + * out_dir is a real, empty directory + """ + pyfile_gen = ( + pathlib.Path(os.path.join(root, f)) + for root, _, files in os.walk(in_dir) + for f in files if os.path.splitext(f)[1] == ".py" + ) + + for fpath in pyfile_gen: + with open(fpath, 'r') as f: + src = f.read() + + # Parse the code and insert method call fixes. + tree = cst.parse_module(src) + updated = tree.visit(transformer) + + # Create the path and directory structure for the new file. + updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) + updated_path.parent.mkdir(parents=True, exist_ok=True) + + # Generate the updated source file at the corresponding path. + with open(updated_path, 'w') as f: + f.write(updated.code) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description="""Fix up source that uses the memcache client library. + +The existing sources are NOT overwritten but are copied to output_dir with changes made. + +Note: This tool operates at a best-effort level at converting positional + parameters in client method calls to keyword based parameters. + Cases where it WILL FAIL include + A) * or ** expansion in a method call. + B) Calls via function or method alias (includes free function calls) + C) Indirect or dispatched calls (e.g. the method is looked up dynamically) + + These all constitute false negatives. The tool will also detect false + positives when an API method shares a name with another method. +""") + parser.add_argument( + '-d', + '--input-directory', + required=True, + dest='input_dir', + help='the input directory to walk for python files to fix up', + ) + parser.add_argument( + '-o', + '--output-directory', + required=True, + dest='output_dir', + help='the directory to output files fixed via un-flattening', + ) + args = parser.parse_args() + input_dir = pathlib.Path(args.input_dir) + output_dir = pathlib.Path(args.output_dir) + if not input_dir.is_dir(): + print( + f"input directory '{input_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if not output_dir.is_dir(): + print( + f"output directory '{output_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if os.listdir(output_dir): + print( + f"output directory '{output_dir}' is not empty", + file=sys.stderr, + ) + sys.exit(-1) + + fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/v1/setup.py b/owl-bot-staging/v1/setup.py new file mode 100644 index 0000000..a22e368 --- /dev/null +++ b/owl-bot-staging/v1/setup.py @@ -0,0 +1,59 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import io +import os +import setuptools # type: ignore + +version = '0.1.0' + +package_root = os.path.abspath(os.path.dirname(__file__)) + +readme_filename = os.path.join(package_root, 'README.rst') +with io.open(readme_filename, encoding='utf-8') as readme_file: + readme = readme_file.read() + +setuptools.setup( + name='google-cloud-memcache', + author="Google LLC", + author_email="googleapis-packages@google.com", + url="https://github.com/googleapis/python-google-cloud-memcache", + version=version, + long_description=readme, + packages=setuptools.PEP420PackageFinder.find(), + namespace_packages=('google', 'google.cloud'), + platforms='Posix; MacOS X; Windows', + include_package_data=True, + install_requires=( + 'google-api-core[grpc] >= 2.8.0, < 3.0.0dev', + 'libcst >= 0.2.5', + 'googleapis-common-protos >= 1.55.0, <2.0.0dev', + 'proto-plus >= 1.19.7', + ), + python_requires='>=3.6', + classifiers=[ + 'Development Status :: 3 - Alpha', + 'Intended Audience :: Developers', + 'Operating System :: OS Independent', + 'Programming Language :: Python :: 3.6', + 'Programming Language :: Python :: 3.7', + 'Programming Language :: Python :: 3.8', + 'Programming Language :: Python :: 3.9', + 'Programming Language :: Python :: 3.10', + 'Topic :: Internet', + 'Topic :: Software Development :: Libraries :: Python Modules', + ], + zip_safe=False, +) diff --git a/owl-bot-staging/v1/tests/__init__.py b/owl-bot-staging/v1/tests/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1/tests/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1/tests/unit/__init__.py b/owl-bot-staging/v1/tests/unit/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1/tests/unit/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1/tests/unit/gapic/__init__.py b/owl-bot-staging/v1/tests/unit/gapic/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1/tests/unit/gapic/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py new file mode 100644 index 0000000..4a63ae1 --- /dev/null +++ b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py @@ -0,0 +1,3120 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +# try/except added for compatibility with python < 3.8 +try: + from unittest import mock + from unittest.mock import AsyncMock +except ImportError: + import mock + +import grpc +from grpc.experimental import aio +import math +import pytest +from proto.marshal.rules.dates import DurationRule, TimestampRule + + +from google.api_core import client_options +from google.api_core import exceptions as core_exceptions +from google.api_core import future +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers +from google.api_core import grpc_helpers_async +from google.api_core import operation +from google.api_core import operation_async # type: ignore +from google.api_core import operations_v1 +from google.api_core import path_template +from google.auth import credentials as ga_credentials +from google.auth.exceptions import MutualTLSChannelError +from google.cloud.memcache_v1.services.cloud_memcache import CloudMemcacheAsyncClient +from google.cloud.memcache_v1.services.cloud_memcache import CloudMemcacheClient +from google.cloud.memcache_v1.services.cloud_memcache import pagers +from google.cloud.memcache_v1.services.cloud_memcache import transports +from google.cloud.memcache_v1.types import cloud_memcache +from google.longrunning import operations_pb2 +from google.oauth2 import service_account +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +import google.auth + + +def client_cert_source_callback(): + return b"cert bytes", b"key bytes" + + +# If default endpoint is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint(client): + return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT + + +def test__get_default_mtls_endpoint(): + api_endpoint = "example.googleapis.com" + api_mtls_endpoint = "example.mtls.googleapis.com" + sandbox_endpoint = "example.sandbox.googleapis.com" + sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" + non_googleapi = "api.example.com" + + assert CloudMemcacheClient._get_default_mtls_endpoint(None) is None + assert CloudMemcacheClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi + + +@pytest.mark.parametrize("client_class,transport_name", [ + (CloudMemcacheClient, "grpc"), + (CloudMemcacheAsyncClient, "grpc_asyncio"), +]) +def test_cloud_memcache_client_from_service_account_info(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: + factory.return_value = creds + info = {"valid": True} + client = client_class.from_service_account_info(info, transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + + +@pytest.mark.parametrize("transport_class,transport_name", [ + (transports.CloudMemcacheGrpcTransport, "grpc"), + (transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +def test_cloud_memcache_client_service_account_always_use_jwt(transport_class, transport_name): + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=True) + use_jwt.assert_called_once_with(True) + + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=False) + use_jwt.assert_not_called() + + +@pytest.mark.parametrize("client_class,transport_name", [ + (CloudMemcacheClient, "grpc"), + (CloudMemcacheAsyncClient, "grpc_asyncio"), +]) +def test_cloud_memcache_client_from_service_account_file(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: + factory.return_value = creds + client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + + +def test_cloud_memcache_client_get_transport_class(): + transport = CloudMemcacheClient.get_transport_class() + available_transports = [ + transports.CloudMemcacheGrpcTransport, + ] + assert transport in available_transports + + transport = CloudMemcacheClient.get_transport_class("grpc") + assert transport == transports.CloudMemcacheGrpcTransport + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +def test_cloud_memcache_client_client_options(client_class, transport_class, transport_name): + # Check that if channel is provided we won't create a new one. + with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + client = client_class(transport=transport) + gtc.assert_not_called() + + # Check that if channel is provided via str we will create a new one. + with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: + client = client_class(transport=transport_name) + gtc.assert_called() + + # Check the case api_endpoint is provided. + options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name, client_options=options) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_MTLS_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError): + client = client_class(transport=transport_name) + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError): + client = client_class(transport=transport_name) + + # Check the case quota_project_id is provided + options = client_options.ClientOptions(quota_project_id="octopus") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id="octopus", + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + # Check the case api_endpoint is provided + options = client_options.ClientOptions(api_audience="https://language.googleapis.com") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience="https://language.googleapis.com" + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "true"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "true"), + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "false"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "false"), +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) +def test_cloud_memcache_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): + # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default + # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. + + # Check the case client_cert_source is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + + if use_client_cert_env == "false": + expected_client_cert_source = None + expected_host = client.DEFAULT_ENDPOINT + else: + expected_client_cert_source = client_cert_source_callback + expected_host = client.DEFAULT_MTLS_ENDPOINT + + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case ADC client cert is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): + if use_client_cert_env == "false": + expected_host = client.DEFAULT_ENDPOINT + expected_client_cert_source = None + else: + expected_host = client.DEFAULT_MTLS_ENDPOINT + expected_client_cert_source = client_cert_source_callback + + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case client_cert_source and ADC client cert are not provided. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class", [ + CloudMemcacheClient, CloudMemcacheAsyncClient +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +def test_cloud_memcache_client_get_mtls_endpoint_and_cert_source(client_class): + mock_client_cert_source = mock.Mock() + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source == mock_client_cert_source + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + mock_client_cert_source = mock.Mock() + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source == mock_client_cert_source + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +def test_cloud_memcache_client_client_options_scopes(client_class, transport_class, transport_name): + # Check the case scopes are provided. + options = client_options.ClientOptions( + scopes=["1", "2"], + ) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=["1", "2"], + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_cloud_memcache_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +def test_cloud_memcache_client_client_options_from_dict(): + with mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__') as grpc_transport: + grpc_transport.return_value = None + client = CloudMemcacheClient( + client_options={'api_endpoint': 'squid.clam.whelk'} + ) + grpc_transport.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_cloud_memcache_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # test that the credentials from file are saved and used as the credentials. + with mock.patch.object( + google.auth, "load_credentials_from_file", autospec=True + ) as load_creds, mock.patch.object( + google.auth, "default", autospec=True + ) as adc, mock.patch.object( + grpc_helpers, "create_channel" + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + file_creds = ga_credentials.AnonymousCredentials() + load_creds.return_value = (file_creds, None) + adc.return_value = (creds, None) + client = client_class(client_options=options, transport=transport_name) + create_channel.assert_called_with( + "memcache.googleapis.com:443", + credentials=file_creds, + credentials_file=None, + quota_project_id=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=None, + default_host="memcache.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.ListInstancesRequest, + dict, +]) +def test_list_instances(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse( + next_page_token='next_page_token_value', + unreachable=['unreachable_value'], + ) + response = client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListInstancesPager) + assert response.next_page_token == 'next_page_token_value' + assert response.unreachable == ['unreachable_value'] + + +def test_list_instances_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + client.list_instances() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + +@pytest.mark.asyncio +async def test_list_instances_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ListInstancesRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse( + next_page_token='next_page_token_value', + unreachable=['unreachable_value'], + )) + response = await client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListInstancesAsyncPager) + assert response.next_page_token == 'next_page_token_value' + assert response.unreachable == ['unreachable_value'] + + +@pytest.mark.asyncio +async def test_list_instances_async_from_dict(): + await test_list_instances_async(request_type=dict) + + +def test_list_instances_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ListInstancesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + call.return_value = cloud_memcache.ListInstancesResponse() + client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_instances_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ListInstancesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) + await client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_instances_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_instances( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_instances_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_instances( + cloud_memcache.ListInstancesRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_instances_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_instances( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_instances_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_instances( + cloud_memcache.ListInstancesRequest(), + parent='parent_value', + ) + + +def test_list_instances_pager(transport_name: str = "grpc"): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials, + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + instances=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_instances(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, cloud_memcache.Instance) + for i in results) +def test_list_instances_pages(transport_name: str = "grpc"): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials, + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + instances=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + pages = list(client.list_instances(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_instances_async_pager(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + instances=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_instances(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, cloud_memcache.Instance) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_instances_async_pages(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + instances=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + pages = [] + async for page_ in (await client.list_instances(request={})).pages: # pragma: no branch + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.GetInstanceRequest, + dict, +]) +def test_get_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance( + name='name_value', + display_name='display_name_value', + authorized_network='authorized_network_value', + zones=['zones_value'], + node_count=1070, + memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, + state=cloud_memcache.Instance.State.CREATING, + memcache_full_version='memcache_full_version_value', + discovery_endpoint='discovery_endpoint_value', + ) + response = client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, cloud_memcache.Instance) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.authorized_network == 'authorized_network_value' + assert response.zones == ['zones_value'] + assert response.node_count == 1070 + assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 + assert response.state == cloud_memcache.Instance.State.CREATING + assert response.memcache_full_version == 'memcache_full_version_value' + assert response.discovery_endpoint == 'discovery_endpoint_value' + + +def test_get_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + client.get_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + +@pytest.mark.asyncio +async def test_get_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.GetInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance( + name='name_value', + display_name='display_name_value', + authorized_network='authorized_network_value', + zones=['zones_value'], + node_count=1070, + memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, + state=cloud_memcache.Instance.State.CREATING, + memcache_full_version='memcache_full_version_value', + discovery_endpoint='discovery_endpoint_value', + )) + response = await client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, cloud_memcache.Instance) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.authorized_network == 'authorized_network_value' + assert response.zones == ['zones_value'] + assert response.node_count == 1070 + assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 + assert response.state == cloud_memcache.Instance.State.CREATING + assert response.memcache_full_version == 'memcache_full_version_value' + assert response.discovery_endpoint == 'discovery_endpoint_value' + + +@pytest.mark.asyncio +async def test_get_instance_async_from_dict(): + await test_get_instance_async(request_type=dict) + + +def test_get_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.GetInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + call.return_value = cloud_memcache.Instance() + client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.GetInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) + await client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_instance( + cloud_memcache.GetInstanceRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_instance( + cloud_memcache.GetInstanceRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.CreateInstanceRequest, + dict, +]) +def test_create_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_create_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + client.create_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + +@pytest.mark.asyncio +async def test_create_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.CreateInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_create_instance_async_from_dict(): + await test_create_instance_async(request_type=dict) + + +def test_create_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.CreateInstanceRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_create_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.CreateInstanceRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_create_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.create_instance( + parent='parent_value', + instance=cloud_memcache.Instance(name='name_value'), + instance_id='instance_id_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].instance + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + arg = args[0].instance_id + mock_val = 'instance_id_value' + assert arg == mock_val + + +def test_create_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.create_instance( + cloud_memcache.CreateInstanceRequest(), + parent='parent_value', + instance=cloud_memcache.Instance(name='name_value'), + instance_id='instance_id_value', + ) + +@pytest.mark.asyncio +async def test_create_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.create_instance( + parent='parent_value', + instance=cloud_memcache.Instance(name='name_value'), + instance_id='instance_id_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].instance + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + arg = args[0].instance_id + mock_val = 'instance_id_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_create_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.create_instance( + cloud_memcache.CreateInstanceRequest(), + parent='parent_value', + instance=cloud_memcache.Instance(name='name_value'), + instance_id='instance_id_value', + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.UpdateInstanceRequest, + dict, +]) +def test_update_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_update_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + client.update_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + +@pytest.mark.asyncio +async def test_update_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_update_instance_async_from_dict(): + await test_update_instance_async(request_type=dict) + + +def test_update_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateInstanceRequest() + + request.instance.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'instance.name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_update_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateInstanceRequest() + + request.instance.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'instance.name=name_value', + ) in kw['metadata'] + + +def test_update_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.update_instance( + instance=cloud_memcache.Instance(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].instance + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + + +def test_update_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_instance( + cloud_memcache.UpdateInstanceRequest(), + instance=cloud_memcache.Instance(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + +@pytest.mark.asyncio +async def test_update_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.update_instance( + instance=cloud_memcache.Instance(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].instance + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + +@pytest.mark.asyncio +async def test_update_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.update_instance( + cloud_memcache.UpdateInstanceRequest(), + instance=cloud_memcache.Instance(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.UpdateParametersRequest, + dict, +]) +def test_update_parameters(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_update_parameters_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + client.update_parameters() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + +@pytest.mark.asyncio +async def test_update_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateParametersRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_update_parameters_async_from_dict(): + await test_update_parameters_async(request_type=dict) + + +def test_update_parameters_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_update_parameters_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_update_parameters_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.update_parameters( + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].parameters + mock_val = cloud_memcache.MemcacheParameters(id='id_value') + assert arg == mock_val + + +def test_update_parameters_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_parameters( + cloud_memcache.UpdateParametersRequest(), + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + +@pytest.mark.asyncio +async def test_update_parameters_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.update_parameters( + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].parameters + mock_val = cloud_memcache.MemcacheParameters(id='id_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_update_parameters_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.update_parameters( + cloud_memcache.UpdateParametersRequest(), + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.DeleteInstanceRequest, + dict, +]) +def test_delete_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_delete_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + client.delete_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + +@pytest.mark.asyncio +async def test_delete_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.DeleteInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_delete_instance_async_from_dict(): + await test_delete_instance_async(request_type=dict) + + +def test_delete_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.DeleteInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_delete_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.DeleteInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_delete_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.delete_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_delete_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_instance( + cloud_memcache.DeleteInstanceRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_delete_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.delete_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_delete_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.delete_instance( + cloud_memcache.DeleteInstanceRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.ApplyParametersRequest, + dict, +]) +def test_apply_parameters(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_apply_parameters_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + client.apply_parameters() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + +@pytest.mark.asyncio +async def test_apply_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplyParametersRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_apply_parameters_async_from_dict(): + await test_apply_parameters_async(request_type=dict) + + +def test_apply_parameters_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplyParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_apply_parameters_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplyParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_apply_parameters_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.apply_parameters( + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + + +def test_apply_parameters_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.apply_parameters( + cloud_memcache.ApplyParametersRequest(), + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + +@pytest.mark.asyncio +async def test_apply_parameters_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.apply_parameters( + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + +@pytest.mark.asyncio +async def test_apply_parameters_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.apply_parameters( + cloud_memcache.ApplyParametersRequest(), + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + +def test_credentials_transport_error(): + # It is an error to provide credentials and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # It is an error to provide a credentials file and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options={"credentials_file": "credentials.json"}, + transport=transport, + ) + + # It is an error to provide an api_key and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options=options, + transport=transport, + ) + + # It is an error to provide an api_key and a credential. + options = mock.Mock() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options=options, + credentials=ga_credentials.AnonymousCredentials() + ) + + # It is an error to provide scopes and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options={"scopes": ["1", "2"]}, + transport=transport, + ) + + +def test_transport_instance(): + # A client may be instantiated with a custom transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + client = CloudMemcacheClient(transport=transport) + assert client.transport is transport + +def test_transport_get_channel(): + # A client may be instantiated with a custom transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + + transport = transports.CloudMemcacheGrpcAsyncIOTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + +@pytest.mark.parametrize("transport_class", [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, +]) +def test_transport_adc(transport_class): + # Test default credentials are used if not provided. + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class() + adc.assert_called_once() + +@pytest.mark.parametrize("transport_name", [ + "grpc", +]) +def test_transport_kind(transport_name): + transport = CloudMemcacheClient.get_transport_class(transport_name)( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert transport.kind == transport_name + +def test_transport_grpc_default(): + # A client should use the gRPC transport by default. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert isinstance( + client.transport, + transports.CloudMemcacheGrpcTransport, + ) + +def test_cloud_memcache_base_transport_error(): + # Passing both a credentials object and credentials_file should raise an error + with pytest.raises(core_exceptions.DuplicateCredentialArgs): + transport = transports.CloudMemcacheTransport( + credentials=ga_credentials.AnonymousCredentials(), + credentials_file="credentials.json" + ) + + +def test_cloud_memcache_base_transport(): + # Instantiate the base transport. + with mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport.__init__') as Transport: + Transport.return_value = None + transport = transports.CloudMemcacheTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Every method on the transport should just blindly + # raise NotImplementedError. + methods = ( + 'list_instances', + 'get_instance', + 'create_instance', + 'update_instance', + 'update_parameters', + 'delete_instance', + 'apply_parameters', + ) + for method in methods: + with pytest.raises(NotImplementedError): + getattr(transport, method)(request=object()) + + with pytest.raises(NotImplementedError): + transport.close() + + # Additionally, the LRO client (a property) should + # also raise NotImplementedError + with pytest.raises(NotImplementedError): + transport.operations_client + + # Catch all for all remaining methods and properties + remainder = [ + 'kind', + ] + for r in remainder: + with pytest.raises(NotImplementedError): + getattr(transport, r)() + + +def test_cloud_memcache_base_transport_with_credentials_file(): + # Instantiate the base transport with a credentials file + with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.CloudMemcacheTransport( + credentials_file="credentials.json", + quota_project_id="octopus", + ) + load_creds.assert_called_once_with("credentials.json", + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id="octopus", + ) + + +def test_cloud_memcache_base_transport_with_adc(): + # Test the default credentials are used if credentials and credentials_file are None. + with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.CloudMemcacheTransport() + adc.assert_called_once() + + +def test_cloud_memcache_auth_adc(): + # If no credentials are provided, we should use ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + CloudMemcacheClient() + adc.assert_called_once_with( + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id=None, + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, + ], +) +def test_cloud_memcache_transport_auth_adc(transport_class): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class(quota_project_id="octopus", scopes=["1", "2"]) + adc.assert_called_once_with( + scopes=["1", "2"], + default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), + quota_project_id="octopus", + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, + transports.CloudMemcacheRestTransport, + ], +) +def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): + host = 'https://language.com' + api_audience_tests = [None, 'https://language2.com'] + api_audience_expect = [host, 'https://language2.com'] + for t, e in zip(api_audience_tests, api_audience_expect): + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + gdch_mock = mock.MagicMock() + type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) + adc.return_value = (gdch_mock, None) + transport_class(host=host, api_audience=t) + gdch_mock.with_gdch_audience.assert_called_once_with( + e + ) + + +@pytest.mark.parametrize( + "transport_class,grpc_helpers", + [ + (transports.CloudMemcacheGrpcTransport, grpc_helpers), + (transports.CloudMemcacheGrpcAsyncIOTransport, grpc_helpers_async) + ], +) +def test_cloud_memcache_transport_create_channel(transport_class, grpc_helpers): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( + grpc_helpers, "create_channel", autospec=True + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + adc.return_value = (creds, None) + transport_class( + quota_project_id="octopus", + scopes=["1", "2"] + ) + + create_channel.assert_called_with( + "memcache.googleapis.com:443", + credentials=creds, + credentials_file=None, + quota_project_id="octopus", + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=["1", "2"], + default_host="memcache.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_grpc_transport_client_cert_source_for_mtls( + transport_class +): + cred = ga_credentials.AnonymousCredentials() + + # Check ssl_channel_credentials is used if provided. + with mock.patch.object(transport_class, "create_channel") as mock_create_channel: + mock_ssl_channel_creds = mock.Mock() + transport_class( + host="squid.clam.whelk", + credentials=cred, + ssl_channel_credentials=mock_ssl_channel_creds + ) + mock_create_channel.assert_called_once_with( + "squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_channel_creds, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls + # is used. + with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): + with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: + transport_class( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + expected_cert, expected_key = client_cert_source_callback() + mock_ssl_cred.assert_called_once_with( + certificate_chain=expected_cert, + private_key=expected_key + ) + + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", +]) +def test_cloud_memcache_host_no_port(transport_name): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com'), + transport=transport_name, + ) + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", +]) +def test_cloud_memcache_host_with_port(transport_name): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com:8000'), + transport=transport_name, + ) + assert client.transport._host == ( + 'memcache.googleapis.com:8000' + ) + +def test_cloud_memcache_grpc_transport_channel(): + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.CloudMemcacheGrpcTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +def test_cloud_memcache_grpc_asyncio_transport_channel(): + channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.CloudMemcacheGrpcAsyncIOTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_transport_channel_mtls_with_client_cert_source( + transport_class +): + with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_ssl_cred = mock.Mock() + grpc_ssl_channel_cred.return_value = mock_ssl_cred + + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + + cred = ga_credentials.AnonymousCredentials() + with pytest.warns(DeprecationWarning): + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (cred, None) + transport = transport_class( + host="squid.clam.whelk", + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=client_cert_source_callback, + ) + adc.assert_called_once() + + grpc_ssl_channel_cred.assert_called_once_with( + certificate_chain=b"cert bytes", private_key=b"key bytes" + ) + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + assert transport._ssl_channel_credentials == mock_ssl_cred + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_transport_channel_mtls_with_adc( + transport_class +): + mock_ssl_cred = mock.Mock() + with mock.patch.multiple( + "google.auth.transport.grpc.SslCredentials", + __init__=mock.Mock(return_value=None), + ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), + ): + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + mock_cred = mock.Mock() + + with pytest.warns(DeprecationWarning): + transport = transport_class( + host="squid.clam.whelk", + credentials=mock_cred, + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=None, + ) + + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=mock_cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + + +def test_cloud_memcache_grpc_lro_client(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_cloud_memcache_grpc_lro_async_client(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc_asyncio', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsAsyncClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_instance_path(): + project = "squid" + location = "clam" + instance = "whelk" + expected = "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) + actual = CloudMemcacheClient.instance_path(project, location, instance) + assert expected == actual + + +def test_parse_instance_path(): + expected = { + "project": "octopus", + "location": "oyster", + "instance": "nudibranch", + } + path = CloudMemcacheClient.instance_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_instance_path(path) + assert expected == actual + +def test_common_billing_account_path(): + billing_account = "cuttlefish" + expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + actual = CloudMemcacheClient.common_billing_account_path(billing_account) + assert expected == actual + + +def test_parse_common_billing_account_path(): + expected = { + "billing_account": "mussel", + } + path = CloudMemcacheClient.common_billing_account_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_billing_account_path(path) + assert expected == actual + +def test_common_folder_path(): + folder = "winkle" + expected = "folders/{folder}".format(folder=folder, ) + actual = CloudMemcacheClient.common_folder_path(folder) + assert expected == actual + + +def test_parse_common_folder_path(): + expected = { + "folder": "nautilus", + } + path = CloudMemcacheClient.common_folder_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_folder_path(path) + assert expected == actual + +def test_common_organization_path(): + organization = "scallop" + expected = "organizations/{organization}".format(organization=organization, ) + actual = CloudMemcacheClient.common_organization_path(organization) + assert expected == actual + + +def test_parse_common_organization_path(): + expected = { + "organization": "abalone", + } + path = CloudMemcacheClient.common_organization_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_organization_path(path) + assert expected == actual + +def test_common_project_path(): + project = "squid" + expected = "projects/{project}".format(project=project, ) + actual = CloudMemcacheClient.common_project_path(project) + assert expected == actual + + +def test_parse_common_project_path(): + expected = { + "project": "clam", + } + path = CloudMemcacheClient.common_project_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_project_path(path) + assert expected == actual + +def test_common_location_path(): + project = "whelk" + location = "octopus" + expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) + actual = CloudMemcacheClient.common_location_path(project, location) + assert expected == actual + + +def test_parse_common_location_path(): + expected = { + "project": "oyster", + "location": "nudibranch", + } + path = CloudMemcacheClient.common_location_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_location_path(path) + assert expected == actual + + +def test_client_with_default_client_info(): + client_info = gapic_v1.client_info.ClientInfo() + + with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + + with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: + transport_class = CloudMemcacheClient.get_transport_class() + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + +@pytest.mark.asyncio +async def test_transport_close_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="grpc_asyncio", + ) + with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: + async with client: + close.assert_not_called() + close.assert_called_once() + + +def test_transport_close(): + transports = { + "grpc": "_grpc_channel", + } + + for transport, close_name in transports.items(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: + with client: + close.assert_not_called() + close.assert_called_once() + +def test_client_ctx(): + transports = [ + 'grpc', + ] + for transport in transports: + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + # Test client calls underlying transport. + with mock.patch.object(type(client.transport), "close") as close: + close.assert_not_called() + with client: + pass + close.assert_called() + +@pytest.mark.parametrize("client_class,transport_class", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport), +]) +def test_api_key_credentials(client_class, transport_class): + with mock.patch.object( + google.auth._default, "get_api_key_credentials", create=True + ) as get_api_key_credentials: + mock_cred = mock.Mock() + get_api_key_credentials.return_value = mock_cred + options = client_options.ClientOptions() + options.api_key = "api_key" + with mock.patch.object(transport_class, "__init__") as patched: + patched.return_value = None + client = client_class(client_options=options) + patched.assert_called_once_with( + credentials=mock_cred, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) diff --git a/owl-bot-staging/v1beta2/.coveragerc b/owl-bot-staging/v1beta2/.coveragerc new file mode 100644 index 0000000..028e2ca --- /dev/null +++ b/owl-bot-staging/v1beta2/.coveragerc @@ -0,0 +1,17 @@ +[run] +branch = True + +[report] +show_missing = True +omit = + google/cloud/memcache/__init__.py +exclude_lines = + # Re-enable the standard pragma + pragma: NO COVER + # Ignore debug-only repr + def __repr__ + # Ignore pkg_resources exceptions. + # This is added at the module level as a safeguard for if someone + # generates the code and tries to run it without pip installing. This + # makes it virtually impossible to test properly. + except pkg_resources.DistributionNotFound diff --git a/owl-bot-staging/v1beta2/.flake8 b/owl-bot-staging/v1beta2/.flake8 new file mode 100644 index 0000000..29227d4 --- /dev/null +++ b/owl-bot-staging/v1beta2/.flake8 @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# +# Copyright 2020 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Generated by synthtool. DO NOT EDIT! +[flake8] +ignore = E203, E266, E501, W503 +exclude = + # Exclude generated code. + **/proto/** + **/gapic/** + **/services/** + **/types/** + *_pb2.py + + # Standard linting exemptions. + **/.nox/** + __pycache__, + .git, + *.pyc, + conf.py diff --git a/owl-bot-staging/v1beta2/MANIFEST.in b/owl-bot-staging/v1beta2/MANIFEST.in new file mode 100644 index 0000000..9ef584d --- /dev/null +++ b/owl-bot-staging/v1beta2/MANIFEST.in @@ -0,0 +1,2 @@ +recursive-include google/cloud/memcache *.py +recursive-include google/cloud/memcache_v1beta2 *.py diff --git a/owl-bot-staging/v1beta2/README.rst b/owl-bot-staging/v1beta2/README.rst new file mode 100644 index 0000000..672802b --- /dev/null +++ b/owl-bot-staging/v1beta2/README.rst @@ -0,0 +1,49 @@ +Python Client for Google Cloud Memcache API +================================================= + +Quick Start +----------- + +In order to use this library, you first need to go through the following steps: + +1. `Select or create a Cloud Platform project.`_ +2. `Enable billing for your project.`_ +3. Enable the Google Cloud Memcache API. +4. `Setup Authentication.`_ + +.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project +.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project +.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html + +Installation +~~~~~~~~~~~~ + +Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to +create isolated Python environments. The basic problem it addresses is one of +dependencies and versions, and indirectly permissions. + +With `virtualenv`_, it's possible to install this library without needing system +install permissions, and without clashing with the installed system +dependencies. + +.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ + + +Mac/Linux +^^^^^^^^^ + +.. code-block:: console + + python3 -m venv + source /bin/activate + /bin/pip install /path/to/library + + +Windows +^^^^^^^ + +.. code-block:: console + + python3 -m venv + \Scripts\activate + \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/v1beta2/docs/conf.py b/owl-bot-staging/v1beta2/docs/conf.py new file mode 100644 index 0000000..d96922c --- /dev/null +++ b/owl-bot-staging/v1beta2/docs/conf.py @@ -0,0 +1,376 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# +# google-cloud-memcache documentation build configuration file +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys +import os +import shlex + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +sys.path.insert(0, os.path.abspath("..")) + +__version__ = "0.1.0" + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +needs_sphinx = "4.0.1" + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.intersphinx", + "sphinx.ext.coverage", + "sphinx.ext.napoleon", + "sphinx.ext.todo", + "sphinx.ext.viewcode", +] + +# autodoc/autosummary flags +autoclass_content = "both" +autodoc_default_flags = ["members"] +autosummary_generate = True + + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# Allow markdown includes (so releases.md can include CHANGLEOG.md) +# http://www.sphinx-doc.org/en/master/markdown.html +source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +source_suffix = [".rst", ".md"] + +# The encoding of source files. +# source_encoding = 'utf-8-sig' + +# The root toctree document. +root_doc = "index" + +# General information about the project. +project = u"google-cloud-memcache" +copyright = u"2022, Google, LLC" +author = u"Google APIs" # TODO: autogenerate this bit + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The full version, including alpha/beta/rc tags. +release = __version__ +# The short X.Y version. +version = ".".join(release.split(".")[0:2]) + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = None + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +# today = '' +# Else, today_fmt is used as the format for a strftime call. +# today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ["_build"] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +# default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +# add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +# add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +# show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# A list of ignored prefixes for module index sorting. +# modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +# keep_warnings = False + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = True + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = "alabaster" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +html_theme_options = { + "description": "Google Cloud Client Libraries for Python", + "github_user": "googleapis", + "github_repo": "google-cloud-python", + "github_banner": True, + "font_family": "'Roboto', Georgia, sans", + "head_font_family": "'Roboto', Georgia, serif", + "code_font_family": "'Roboto Mono', 'Consolas', monospace", +} + +# Add any paths that contain custom themes here, relative to this directory. +# html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +# html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +# html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +# html_logo = None + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +# html_favicon = None + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ["_static"] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +# html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +# html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +# html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +# html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +# html_additional_pages = {} + +# If false, no module index is generated. +# html_domain_indices = True + +# If false, no index is generated. +# html_use_index = True + +# If true, the index is split into individual pages for each letter. +# html_split_index = False + +# If true, links to the reST sources are added to the pages. +# html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +# html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +# html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +# html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +# html_file_suffix = None + +# Language to be used for generating the HTML full-text search index. +# Sphinx supports the following languages: +# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' +# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' +# html_search_language = 'en' + +# A dictionary with options for the search language support, empty by default. +# Now only 'ja' uses this config value +# html_search_options = {'type': 'default'} + +# The name of a javascript file (relative to the configuration directory) that +# implements a search results scorer. If empty, the default will be used. +# html_search_scorer = 'scorer.js' + +# Output file base name for HTML help builder. +htmlhelp_basename = "google-cloud-memcache-doc" + +# -- Options for warnings ------------------------------------------------------ + + +suppress_warnings = [ + # Temporarily suppress this to avoid "more than one target found for + # cross-reference" warning, which are intractable for us to avoid while in + # a mono-repo. + # See https://github.com/sphinx-doc/sphinx/blob + # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 + "ref.python" +] + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # 'papersize': 'letterpaper', + # The font size ('10pt', '11pt' or '12pt'). + # 'pointsize': '10pt', + # Additional stuff for the LaTeX preamble. + # 'preamble': '', + # Latex figure (float) alignment + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + ( + root_doc, + "google-cloud-memcache.tex", + u"google-cloud-memcache Documentation", + author, + "manual", + ) +] + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +# latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +# latex_use_parts = False + +# If true, show page references after internal links. +# latex_show_pagerefs = False + +# If true, show URL addresses after external links. +# latex_show_urls = False + +# Documents to append as an appendix to all manuals. +# latex_appendices = [] + +# If false, no module index is generated. +# latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + ( + root_doc, + "google-cloud-memcache", + u"Google Cloud Memcache Documentation", + [author], + 1, + ) +] + +# If true, show URL addresses after external links. +# man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + root_doc, + "google-cloud-memcache", + u"google-cloud-memcache Documentation", + author, + "google-cloud-memcache", + "GAPIC library for Google Cloud Memcache API", + "APIs", + ) +] + +# Documents to append as an appendix to all manuals. +# texinfo_appendices = [] + +# If false, no module index is generated. +# texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +# texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +# texinfo_no_detailmenu = False + + +# Example configuration for intersphinx: refer to the Python standard library. +intersphinx_mapping = { + "python": ("http://python.readthedocs.org/en/latest/", None), + "gax": ("https://gax-python.readthedocs.org/en/latest/", None), + "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), + "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), + "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), + "grpc": ("https://grpc.io/grpc/python/", None), + "requests": ("http://requests.kennethreitz.org/en/stable/", None), + "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), + "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), +} + + +# Napoleon settings +napoleon_google_docstring = True +napoleon_numpy_docstring = True +napoleon_include_private_with_doc = False +napoleon_include_special_with_doc = True +napoleon_use_admonition_for_examples = False +napoleon_use_admonition_for_notes = False +napoleon_use_admonition_for_references = False +napoleon_use_ivar = False +napoleon_use_param = True +napoleon_use_rtype = True diff --git a/owl-bot-staging/v1beta2/docs/index.rst b/owl-bot-staging/v1beta2/docs/index.rst new file mode 100644 index 0000000..52e2cbf --- /dev/null +++ b/owl-bot-staging/v1beta2/docs/index.rst @@ -0,0 +1,7 @@ +API Reference +------------- +.. toctree:: + :maxdepth: 2 + + memcache_v1beta2/services + memcache_v1beta2/types diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst new file mode 100644 index 0000000..7dc7a82 --- /dev/null +++ b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst @@ -0,0 +1,10 @@ +CloudMemcache +------------------------------- + +.. automodule:: google.cloud.memcache_v1beta2.services.cloud_memcache + :members: + :inherited-members: + +.. automodule:: google.cloud.memcache_v1beta2.services.cloud_memcache.pagers + :members: + :inherited-members: diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst new file mode 100644 index 0000000..e5faef5 --- /dev/null +++ b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst @@ -0,0 +1,6 @@ +Services for Google Cloud Memcache v1beta2 API +============================================== +.. toctree:: + :maxdepth: 2 + + cloud_memcache diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst new file mode 100644 index 0000000..19e52f6 --- /dev/null +++ b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst @@ -0,0 +1,7 @@ +Types for Google Cloud Memcache v1beta2 API +=========================================== + +.. automodule:: google.cloud.memcache_v1beta2.types + :members: + :undoc-members: + :show-inheritance: diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py new file mode 100644 index 0000000..089b411 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from google.cloud.memcache_v1beta2.services.cloud_memcache.client import CloudMemcacheClient +from google.cloud.memcache_v1beta2.services.cloud_memcache.async_client import CloudMemcacheAsyncClient + +from google.cloud.memcache_v1beta2.types.cloud_memcache import ApplyParametersRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import ApplySoftwareUpdateRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import CreateInstanceRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import DeleteInstanceRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import GetInstanceRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import Instance +from google.cloud.memcache_v1beta2.types.cloud_memcache import ListInstancesRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import ListInstancesResponse +from google.cloud.memcache_v1beta2.types.cloud_memcache import LocationMetadata +from google.cloud.memcache_v1beta2.types.cloud_memcache import MemcacheParameters +from google.cloud.memcache_v1beta2.types.cloud_memcache import OperationMetadata +from google.cloud.memcache_v1beta2.types.cloud_memcache import UpdateInstanceRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import UpdateParametersRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import ZoneMetadata +from google.cloud.memcache_v1beta2.types.cloud_memcache import MemcacheVersion + +__all__ = ('CloudMemcacheClient', + 'CloudMemcacheAsyncClient', + 'ApplyParametersRequest', + 'ApplySoftwareUpdateRequest', + 'CreateInstanceRequest', + 'DeleteInstanceRequest', + 'GetInstanceRequest', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'LocationMetadata', + 'MemcacheParameters', + 'OperationMetadata', + 'UpdateInstanceRequest', + 'UpdateParametersRequest', + 'ZoneMetadata', + 'MemcacheVersion', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed b/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed new file mode 100644 index 0000000..7959cf4 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py new file mode 100644 index 0000000..7f9cce4 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py @@ -0,0 +1,54 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from .services.cloud_memcache import CloudMemcacheClient +from .services.cloud_memcache import CloudMemcacheAsyncClient + +from .types.cloud_memcache import ApplyParametersRequest +from .types.cloud_memcache import ApplySoftwareUpdateRequest +from .types.cloud_memcache import CreateInstanceRequest +from .types.cloud_memcache import DeleteInstanceRequest +from .types.cloud_memcache import GetInstanceRequest +from .types.cloud_memcache import Instance +from .types.cloud_memcache import ListInstancesRequest +from .types.cloud_memcache import ListInstancesResponse +from .types.cloud_memcache import LocationMetadata +from .types.cloud_memcache import MemcacheParameters +from .types.cloud_memcache import OperationMetadata +from .types.cloud_memcache import UpdateInstanceRequest +from .types.cloud_memcache import UpdateParametersRequest +from .types.cloud_memcache import ZoneMetadata +from .types.cloud_memcache import MemcacheVersion + +__all__ = ( + 'CloudMemcacheAsyncClient', +'ApplyParametersRequest', +'ApplySoftwareUpdateRequest', +'CloudMemcacheClient', +'CreateInstanceRequest', +'DeleteInstanceRequest', +'GetInstanceRequest', +'Instance', +'ListInstancesRequest', +'ListInstancesResponse', +'LocationMetadata', +'MemcacheParameters', +'MemcacheVersion', +'OperationMetadata', +'UpdateInstanceRequest', +'UpdateParametersRequest', +'ZoneMetadata', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json new file mode 100644 index 0000000..288ef89 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json @@ -0,0 +1,103 @@ + { + "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", + "language": "python", + "libraryPackage": "google.cloud.memcache_v1beta2", + "protoPackage": "google.cloud.memcache.v1beta2", + "schema": "1.0", + "services": { + "CloudMemcache": { + "clients": { + "grpc": { + "libraryClient": "CloudMemcacheClient", + "rpcs": { + "ApplyParameters": { + "methods": [ + "apply_parameters" + ] + }, + "ApplySoftwareUpdate": { + "methods": [ + "apply_software_update" + ] + }, + "CreateInstance": { + "methods": [ + "create_instance" + ] + }, + "DeleteInstance": { + "methods": [ + "delete_instance" + ] + }, + "GetInstance": { + "methods": [ + "get_instance" + ] + }, + "ListInstances": { + "methods": [ + "list_instances" + ] + }, + "UpdateInstance": { + "methods": [ + "update_instance" + ] + }, + "UpdateParameters": { + "methods": [ + "update_parameters" + ] + } + } + }, + "grpc-async": { + "libraryClient": "CloudMemcacheAsyncClient", + "rpcs": { + "ApplyParameters": { + "methods": [ + "apply_parameters" + ] + }, + "ApplySoftwareUpdate": { + "methods": [ + "apply_software_update" + ] + }, + "CreateInstance": { + "methods": [ + "create_instance" + ] + }, + "DeleteInstance": { + "methods": [ + "delete_instance" + ] + }, + "GetInstance": { + "methods": [ + "get_instance" + ] + }, + "ListInstances": { + "methods": [ + "list_instances" + ] + }, + "UpdateInstance": { + "methods": [ + "update_instance" + ] + }, + "UpdateParameters": { + "methods": [ + "update_parameters" + ] + } + } + } + } + } + } +} diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed new file mode 100644 index 0000000..7959cf4 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py new file mode 100644 index 0000000..e8e1c38 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py @@ -0,0 +1,15 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py new file mode 100644 index 0000000..a7034a9 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import CloudMemcacheClient +from .async_client import CloudMemcacheAsyncClient + +__all__ = ( + 'CloudMemcacheClient', + 'CloudMemcacheAsyncClient', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py new file mode 100644 index 0000000..aa2f888 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py @@ -0,0 +1,1227 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import functools +import re +from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union +import pkg_resources + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport +from .client import CloudMemcacheClient + + +class CloudMemcacheAsyncClient: + """Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + """ + + _client: CloudMemcacheClient + + DEFAULT_ENDPOINT = CloudMemcacheClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = CloudMemcacheClient.DEFAULT_MTLS_ENDPOINT + + instance_path = staticmethod(CloudMemcacheClient.instance_path) + parse_instance_path = staticmethod(CloudMemcacheClient.parse_instance_path) + common_billing_account_path = staticmethod(CloudMemcacheClient.common_billing_account_path) + parse_common_billing_account_path = staticmethod(CloudMemcacheClient.parse_common_billing_account_path) + common_folder_path = staticmethod(CloudMemcacheClient.common_folder_path) + parse_common_folder_path = staticmethod(CloudMemcacheClient.parse_common_folder_path) + common_organization_path = staticmethod(CloudMemcacheClient.common_organization_path) + parse_common_organization_path = staticmethod(CloudMemcacheClient.parse_common_organization_path) + common_project_path = staticmethod(CloudMemcacheClient.common_project_path) + parse_common_project_path = staticmethod(CloudMemcacheClient.parse_common_project_path) + common_location_path = staticmethod(CloudMemcacheClient.common_location_path) + parse_common_location_path = staticmethod(CloudMemcacheClient.parse_common_location_path) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheAsyncClient: The constructed client. + """ + return CloudMemcacheClient.from_service_account_info.__func__(CloudMemcacheAsyncClient, info, *args, **kwargs) # type: ignore + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheAsyncClient: The constructed client. + """ + return CloudMemcacheClient.from_service_account_file.__func__(CloudMemcacheAsyncClient, filename, *args, **kwargs) # type: ignore + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variabel is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return CloudMemcacheClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> CloudMemcacheTransport: + """Returns the transport used by the client instance. + + Returns: + CloudMemcacheTransport: The transport used by the client instance. + """ + return self._client.transport + + get_transport_class = functools.partial(type(CloudMemcacheClient).get_transport_class, type(CloudMemcacheClient)) + + def __init__(self, *, + credentials: ga_credentials.Credentials = None, + transport: Union[str, CloudMemcacheTransport] = "grpc_asyncio", + client_options: ClientOptions = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the cloud memcache client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, ~.CloudMemcacheTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (ClientOptions): Custom options for the client. It + won't take effect if a ``transport`` instance is provided. + (1) The ``api_endpoint`` property can be used to override the + default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT + environment variable can also be used to override the endpoint: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto switch to the + default mTLS endpoint if client certificate is present, this is + the default value). However, the ``api_endpoint`` property takes + precedence if provided. + (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide client certificate for mutual TLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = CloudMemcacheClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + + ) + + async def list_instances(self, + request: Union[cloud_memcache.ListInstancesRequest, dict] = None, + *, + parent: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListInstancesAsyncPager: + r"""Lists Instances in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_list_instances(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ListInstancesRequest, dict]): + The request object. Request for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + parent (:class:`str`): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1beta2.services.cloud_memcache.pagers.ListInstancesAsyncPager: + Response for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.ListInstancesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_instances, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListInstancesAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_instance(self, + request: Union[cloud_memcache.GetInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> cloud_memcache.Instance: + r"""Gets details of a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_get_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = await client.get_instance(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.GetInstanceRequest, dict]): + The request object. Request for + [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. + name (:class:`str`): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1beta2.types.Instance: + A Memorystore for Memcached instance + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.GetInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def create_instance(self, + request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, + *, + parent: str = None, + instance_id: str = None, + resource: cloud_memcache.Instance = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new Instance in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_create_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + resource=resource, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.CreateInstanceRequest, dict]): + The request object. Request for + [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. + parent (:class:`str`): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance_id (:class:`str`): + Required. The logical name of the Memcached instance in + the user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location. + + If any of the above are not met, the API raises an + invalid argument error. + + This corresponds to the ``instance_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + resource (:class:`google.cloud.memcache_v1beta2.types.Instance`): + Required. A Memcached [Instance] resource + This corresponds to the ``resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, instance_id, resource]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.CreateInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if instance_id is not None: + request.instance_id = instance_id + if resource is not None: + request.resource = resource + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.create_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def update_instance(self, + request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, + *, + update_mask: field_mask_pb2.FieldMask = None, + resource: cloud_memcache.Instance = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates an existing Instance in a given project and + location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_update_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.UpdateInstanceRequest( + resource=resource, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.UpdateInstanceRequest, dict]): + The request object. Request for + [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. Mask of fields to update. + + - ``displayName`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + resource (:class:`google.cloud.memcache_v1beta2.types.Instance`): + Required. A Memcached [Instance] resource. Only fields + specified in update_mask are updated. + + This corresponds to the ``resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([update_mask, resource]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.UpdateInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if update_mask is not None: + request.update_mask = update_mask + if resource is not None: + request.resource = resource + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.update_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("resource.name", request.resource.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def update_parameters(self, + request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, + *, + name: str = None, + update_mask: field_mask_pb2.FieldMask = None, + parameters: cloud_memcache.MemcacheParameters = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates the defined Memcached parameters for an existing + instance. This method only stages the parameters, it must be + followed by ``ApplyParameters`` to apply the parameters to nodes + of the Memcached instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_update_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.UpdateParametersRequest, dict]): + The request object. Request for + [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. + name (:class:`str`): + Required. Resource name of the + Memcached instance for which the + parameters should be updated. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. Mask of fields to update. + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + parameters (:class:`google.cloud.memcache_v1beta2.types.MemcacheParameters`): + The parameters to apply to the + instance. + + This corresponds to the ``parameters`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, update_mask, parameters]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.UpdateParametersRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if update_mask is not None: + request.update_mask = update_mask + if parameters is not None: + request.parameters = parameters + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.update_parameters, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_instance(self, + request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_delete_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.DeleteInstanceRequest, dict]): + The request object. Request for + [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. + name (:class:`str`): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + The JSON representation for Empty is empty JSON + object {}. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.DeleteInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.delete_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def apply_parameters(self, + request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, + *, + name: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""``ApplyParameters`` restarts the set of specified nodes in order + to update them to the current set of parameters for the + Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_apply_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ApplyParametersRequest, dict]): + The request object. Request for + [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. + name (:class:`str`): + Required. Resource name of the + Memcached instance for which parameter + group updates should be applied. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (:class:`Sequence[str]`): + Nodes to which the instance-level + parameter group is applied. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (:class:`bool`): + Whether to apply instance-level parameter group to all + nodes. If set to true, users are restricted from + specifying individual nodes, and ``ApplyParameters`` + updates all nodes within the instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.ApplyParametersRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if apply_all is not None: + request.apply_all = apply_all + if node_ids: + request.node_ids.extend(node_ids) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.apply_parameters, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def apply_software_update(self, + request: Union[cloud_memcache.ApplySoftwareUpdateRequest, dict] = None, + *, + instance: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates software on the selected nodes of the + Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_apply_software_update(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplySoftwareUpdateRequest( + instance="instance_value", + ) + + # Make the request + operation = client.apply_software_update(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ApplySoftwareUpdateRequest, dict]): + The request object. Request for + [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. + instance (:class:`str`): + Required. Resource name of the + Memcached instance for which software + update should be applied. + + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (:class:`Sequence[str]`): + Nodes to which we should apply the + update to. Note all the selected nodes + are updated in parallel. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (:class:`bool`): + Whether to apply the update to all + nodes. If set to true, will explicitly + restrict users from specifying any + nodes, and apply software update to all + nodes (where applicable) within the + instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([instance, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.ApplySoftwareUpdateRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if instance is not None: + request.instance = instance + if apply_all is not None: + request.apply_all = apply_all + if node_ids: + request.node_ids.extend(node_ids) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.apply_software_update, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("instance", request.instance), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self): + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + "google-cloud-memcache", + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +__all__ = ( + "CloudMemcacheAsyncClient", +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py new file mode 100644 index 0000000..a39bf67 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py @@ -0,0 +1,1427 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import os +import re +from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union +import pkg_resources + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import CloudMemcacheGrpcTransport +from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport + + +class CloudMemcacheClientMeta(type): + """Metaclass for the CloudMemcache client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + _transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] + _transport_registry["grpc"] = CloudMemcacheGrpcTransport + _transport_registry["grpc_asyncio"] = CloudMemcacheGrpcAsyncIOTransport + + def get_transport_class(cls, + label: str = None, + ) -> Type[CloudMemcacheTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class CloudMemcacheClient(metaclass=CloudMemcacheClientMeta): + """Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + DEFAULT_ENDPOINT = "memcache.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file( + filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> CloudMemcacheTransport: + """Returns the transport used by the client instance. + + Returns: + CloudMemcacheTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def instance_path(project: str,location: str,instance: str,) -> str: + """Returns a fully-qualified instance string.""" + return "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) + + @staticmethod + def parse_instance_path(path: str) -> Dict[str,str]: + """Parses a instance path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/instances/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path(billing_account: str, ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str,str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path(folder: str, ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format(folder=folder, ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str,str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path(organization: str, ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format(organization=organization, ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str,str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path(project: str, ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format(project=project, ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str,str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path(project: str, location: str, ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format(project=project, location=location, ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str,str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variabel is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert == "true": + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Union[str, CloudMemcacheTransport, None] = None, + client_options: Optional[client_options_lib.ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the cloud memcache client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, CloudMemcacheTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. It won't take effect if a ``transport`` instance is provided. + (1) The ``api_endpoint`` property can be used to override the + default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT + environment variable can also be used to override the endpoint: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto switch to the + default mTLS endpoint if client certificate is present, this is + the default value). However, the ``api_endpoint`` property takes + precedence if provided. + (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide client certificate for mutual TLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + if isinstance(client_options, dict): + client_options = client_options_lib.from_dict(client_options) + if client_options is None: + client_options = client_options_lib.ClientOptions() + + api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(client_options) + + api_key_value = getattr(client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError("client_options.api_key and credentials are mutually exclusive") + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + if isinstance(transport, CloudMemcacheTransport): + # transport is a CloudMemcacheTransport instance. + if credentials or client_options.credentials_file or api_key_value: + raise ValueError("When providing a transport instance, " + "provide its credentials directly.") + if client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = transport + else: + import google.auth._default # type: ignore + + if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): + credentials = google.auth._default.get_api_key_credentials(api_key_value) + + Transport = type(self).get_transport_class(transport) + self._transport = Transport( + credentials=credentials, + credentials_file=client_options.credentials_file, + host=api_endpoint, + scopes=client_options.scopes, + client_cert_source_for_mtls=client_cert_source_func, + quota_project_id=client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=client_options.api_audience, + ) + + def list_instances(self, + request: Union[cloud_memcache.ListInstancesRequest, dict] = None, + *, + parent: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListInstancesPager: + r"""Lists Instances in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_list_instances(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ListInstancesRequest, dict]): + The request object. Request for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + parent (str): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1beta2.services.cloud_memcache.pagers.ListInstancesPager: + Response for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.ListInstancesRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.ListInstancesRequest): + request = cloud_memcache.ListInstancesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_instances] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListInstancesPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_instance(self, + request: Union[cloud_memcache.GetInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> cloud_memcache.Instance: + r"""Gets details of a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_get_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = client.get_instance(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.GetInstanceRequest, dict]): + The request object. Request for + [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. + name (str): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1beta2.types.Instance: + A Memorystore for Memcached instance + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.GetInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.GetInstanceRequest): + request = cloud_memcache.GetInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def create_instance(self, + request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, + *, + parent: str = None, + instance_id: str = None, + resource: cloud_memcache.Instance = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Creates a new Instance in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_create_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + resource=resource, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.CreateInstanceRequest, dict]): + The request object. Request for + [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. + parent (str): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance_id (str): + Required. The logical name of the Memcached instance in + the user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location. + + If any of the above are not met, the API raises an + invalid argument error. + + This corresponds to the ``instance_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + resource (google.cloud.memcache_v1beta2.types.Instance): + Required. A Memcached [Instance] resource + This corresponds to the ``resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, instance_id, resource]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.CreateInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.CreateInstanceRequest): + request = cloud_memcache.CreateInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if instance_id is not None: + request.instance_id = instance_id + if resource is not None: + request.resource = resource + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def update_instance(self, + request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, + *, + update_mask: field_mask_pb2.FieldMask = None, + resource: cloud_memcache.Instance = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates an existing Instance in a given project and + location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_update_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.UpdateInstanceRequest( + resource=resource, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.UpdateInstanceRequest, dict]): + The request object. Request for + [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + + - ``displayName`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + resource (google.cloud.memcache_v1beta2.types.Instance): + Required. A Memcached [Instance] resource. Only fields + specified in update_mask are updated. + + This corresponds to the ``resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([update_mask, resource]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.UpdateInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.UpdateInstanceRequest): + request = cloud_memcache.UpdateInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if update_mask is not None: + request.update_mask = update_mask + if resource is not None: + request.resource = resource + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("resource.name", request.resource.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def update_parameters(self, + request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, + *, + name: str = None, + update_mask: field_mask_pb2.FieldMask = None, + parameters: cloud_memcache.MemcacheParameters = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates the defined Memcached parameters for an existing + instance. This method only stages the parameters, it must be + followed by ``ApplyParameters`` to apply the parameters to nodes + of the Memcached instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_update_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.UpdateParametersRequest, dict]): + The request object. Request for + [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. + name (str): + Required. Resource name of the + Memcached instance for which the + parameters should be updated. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): + The parameters to apply to the + instance. + + This corresponds to the ``parameters`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, update_mask, parameters]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.UpdateParametersRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.UpdateParametersRequest): + request = cloud_memcache.UpdateParametersRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if update_mask is not None: + request.update_mask = update_mask + if parameters is not None: + request.parameters = parameters + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_parameters] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def delete_instance(self, + request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deletes a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_delete_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.DeleteInstanceRequest, dict]): + The request object. Request for + [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. + name (str): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + The JSON representation for Empty is empty JSON + object {}. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.DeleteInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.DeleteInstanceRequest): + request = cloud_memcache.DeleteInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def apply_parameters(self, + request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, + *, + name: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""``ApplyParameters`` restarts the set of specified nodes in order + to update them to the current set of parameters for the + Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_apply_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ApplyParametersRequest, dict]): + The request object. Request for + [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. + name (str): + Required. Resource name of the + Memcached instance for which parameter + group updates should be applied. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (Sequence[str]): + Nodes to which the instance-level + parameter group is applied. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (bool): + Whether to apply instance-level parameter group to all + nodes. If set to true, users are restricted from + specifying individual nodes, and ``ApplyParameters`` + updates all nodes within the instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.ApplyParametersRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.ApplyParametersRequest): + request = cloud_memcache.ApplyParametersRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if node_ids is not None: + request.node_ids = node_ids + if apply_all is not None: + request.apply_all = apply_all + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.apply_parameters] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def apply_software_update(self, + request: Union[cloud_memcache.ApplySoftwareUpdateRequest, dict] = None, + *, + instance: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates software on the selected nodes of the + Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_apply_software_update(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplySoftwareUpdateRequest( + instance="instance_value", + ) + + # Make the request + operation = client.apply_software_update(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ApplySoftwareUpdateRequest, dict]): + The request object. Request for + [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. + instance (str): + Required. Resource name of the + Memcached instance for which software + update should be applied. + + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (Sequence[str]): + Nodes to which we should apply the + update to. Note all the selected nodes + are updated in parallel. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (bool): + Whether to apply the update to all + nodes. If set to true, will explicitly + restrict users from specifying any + nodes, and apply software update to all + nodes (where applicable) within the + instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([instance, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.ApplySoftwareUpdateRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.ApplySoftwareUpdateRequest): + request = cloud_memcache.ApplySoftwareUpdateRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if instance is not None: + request.instance = instance + if node_ids is not None: + request.node_ids = node_ids + if apply_all is not None: + request.apply_all = apply_all + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.apply_software_update] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("instance", request.instance), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self): + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + + + + + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + "google-cloud-memcache", + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +__all__ = ( + "CloudMemcacheClient", +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py new file mode 100644 index 0000000..79e396b --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py @@ -0,0 +1,139 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator + +from google.cloud.memcache_v1beta2.types import cloud_memcache + + +class ListInstancesPager: + """A pager for iterating through ``list_instances`` requests. + + This class thinly wraps an initial + :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``resources`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListInstances`` requests and continue to iterate + through the ``resources`` field on the + corresponding responses. + + All the usual :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., cloud_memcache.ListInstancesResponse], + request: cloud_memcache.ListInstancesRequest, + response: cloud_memcache.ListInstancesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.memcache_v1beta2.types.ListInstancesRequest): + The initial request object. + response (google.cloud.memcache_v1beta2.types.ListInstancesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = cloud_memcache.ListInstancesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[cloud_memcache.ListInstancesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[cloud_memcache.Instance]: + for page in self.pages: + yield from page.resources + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListInstancesAsyncPager: + """A pager for iterating through ``list_instances`` requests. + + This class thinly wraps an initial + :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``resources`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListInstances`` requests and continue to iterate + through the ``resources`` field on the + corresponding responses. + + All the usual :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[cloud_memcache.ListInstancesResponse]], + request: cloud_memcache.ListInstancesRequest, + response: cloud_memcache.ListInstancesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.memcache_v1beta2.types.ListInstancesRequest): + The initial request object. + response (google.cloud.memcache_v1beta2.types.ListInstancesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = cloud_memcache.ListInstancesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[cloud_memcache.ListInstancesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[cloud_memcache.Instance]: + async def async_generator(): + async for page in self.pages: + for response in page.resources: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py new file mode 100644 index 0000000..6067238 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type + +from .base import CloudMemcacheTransport +from .grpc import CloudMemcacheGrpcTransport +from .grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] +_transport_registry['grpc'] = CloudMemcacheGrpcTransport +_transport_registry['grpc_asyncio'] = CloudMemcacheGrpcAsyncIOTransport + +__all__ = ( + 'CloudMemcacheTransport', + 'CloudMemcacheGrpcTransport', + 'CloudMemcacheGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py new file mode 100644 index 0000000..2575ee8 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py @@ -0,0 +1,259 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union +import pkg_resources + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + 'google-cloud-memcache', + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +class CloudMemcacheTransport(abc.ABC): + """Abstract transport class for CloudMemcache.""" + + AUTH_SCOPES = ( + 'https://www.googleapis.com/auth/cloud-platform', + ) + + DEFAULT_HOST: str = 'memcache.googleapis.com' + def __init__( + self, *, + host: str = DEFAULT_HOST, + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} + + # Save the scopes. + self._scopes = scopes + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + **scopes_kwargs, + quota_project_id=quota_project_id + ) + elif credentials is None: + credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience(api_audience if api_audience else host) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ':' not in host: + host += ':443' + self._host = host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.list_instances: gapic_v1.method.wrap_method( + self.list_instances, + default_timeout=1200.0, + client_info=client_info, + ), + self.get_instance: gapic_v1.method.wrap_method( + self.get_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.create_instance: gapic_v1.method.wrap_method( + self.create_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.update_instance: gapic_v1.method.wrap_method( + self.update_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.update_parameters: gapic_v1.method.wrap_method( + self.update_parameters, + default_timeout=1200.0, + client_info=client_info, + ), + self.delete_instance: gapic_v1.method.wrap_method( + self.delete_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.apply_parameters: gapic_v1.method.wrap_method( + self.apply_parameters, + default_timeout=1200.0, + client_info=client_info, + ), + self.apply_software_update: gapic_v1.method.wrap_method( + self.apply_software_update, + default_timeout=1200.0, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + Union[ + cloud_memcache.ListInstancesResponse, + Awaitable[cloud_memcache.ListInstancesResponse] + ]]: + raise NotImplementedError() + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + Union[ + cloud_memcache.Instance, + Awaitable[cloud_memcache.Instance] + ]]: + raise NotImplementedError() + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def apply_software_update(self) -> Callable[ + [cloud_memcache.ApplySoftwareUpdateRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ( + 'CloudMemcacheTransport', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py new file mode 100644 index 0000000..f9fb1bd --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py @@ -0,0 +1,490 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore + +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore +from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO + + +class CloudMemcacheGrpcTransport(CloudMemcacheTransport): + """gRPC backend transport for CloudMemcache. + + Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + _stubs: Dict[str, Callable] + + def __init__(self, *, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: str = None, + scopes: Sequence[str] = None, + channel: grpc.Channel = None, + api_mtls_endpoint: str = None, + client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, + ssl_channel_credentials: grpc.ChannelCredentials = None, + client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + channel (Optional[grpc.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel(cls, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: str = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service. + """ + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + cloud_memcache.ListInstancesResponse]: + r"""Return a callable for the list instances method over gRPC. + + Lists Instances in a given location. + + Returns: + Callable[[~.ListInstancesRequest], + ~.ListInstancesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_instances' not in self._stubs: + self._stubs['list_instances'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ListInstances', + request_serializer=cloud_memcache.ListInstancesRequest.serialize, + response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, + ) + return self._stubs['list_instances'] + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + cloud_memcache.Instance]: + r"""Return a callable for the get instance method over gRPC. + + Gets details of a single Instance. + + Returns: + Callable[[~.GetInstanceRequest], + ~.Instance]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_instance' not in self._stubs: + self._stubs['get_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/GetInstance', + request_serializer=cloud_memcache.GetInstanceRequest.serialize, + response_deserializer=cloud_memcache.Instance.deserialize, + ) + return self._stubs['get_instance'] + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the create instance method over gRPC. + + Creates a new Instance in a given location. + + Returns: + Callable[[~.CreateInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_instance' not in self._stubs: + self._stubs['create_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/CreateInstance', + request_serializer=cloud_memcache.CreateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['create_instance'] + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the update instance method over gRPC. + + Updates an existing Instance in a given project and + location. + + Returns: + Callable[[~.UpdateInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_instance' not in self._stubs: + self._stubs['update_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateInstance', + request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_instance'] + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + operations_pb2.Operation]: + r"""Return a callable for the update parameters method over gRPC. + + Updates the defined Memcached parameters for an existing + instance. This method only stages the parameters, it must be + followed by ``ApplyParameters`` to apply the parameters to nodes + of the Memcached instance. + + Returns: + Callable[[~.UpdateParametersRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_parameters' not in self._stubs: + self._stubs['update_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateParameters', + request_serializer=cloud_memcache.UpdateParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_parameters'] + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the delete instance method over gRPC. + + Deletes a single Instance. + + Returns: + Callable[[~.DeleteInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_instance' not in self._stubs: + self._stubs['delete_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/DeleteInstance', + request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_instance'] + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + operations_pb2.Operation]: + r"""Return a callable for the apply parameters method over gRPC. + + ``ApplyParameters`` restarts the set of specified nodes in order + to update them to the current set of parameters for the + Memcached Instance. + + Returns: + Callable[[~.ApplyParametersRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_parameters' not in self._stubs: + self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ApplyParameters', + request_serializer=cloud_memcache.ApplyParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_parameters'] + + @property + def apply_software_update(self) -> Callable[ + [cloud_memcache.ApplySoftwareUpdateRequest], + operations_pb2.Operation]: + r"""Return a callable for the apply software update method over gRPC. + + Updates software on the selected nodes of the + Instance. + + Returns: + Callable[[~.ApplySoftwareUpdateRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_software_update' not in self._stubs: + self._stubs['apply_software_update'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ApplySoftwareUpdate', + request_serializer=cloud_memcache.ApplySoftwareUpdateRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_software_update'] + + def close(self): + self.grpc_channel.close() + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ( + 'CloudMemcacheGrpcTransport', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py new file mode 100644 index 0000000..d50bd3a --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py @@ -0,0 +1,489 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore +from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .grpc import CloudMemcacheGrpcTransport + + +class CloudMemcacheGrpcAsyncIOTransport(CloudMemcacheTransport): + """gRPC AsyncIO backend transport for CloudMemcache. + + Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel(cls, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + def __init__(self, *, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: aio.Channel = None, + api_mtls_endpoint: str = None, + client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, + ssl_channel_credentials: grpc.ChannelCredentials = None, + client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, + quota_project_id=None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[aio.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + Awaitable[cloud_memcache.ListInstancesResponse]]: + r"""Return a callable for the list instances method over gRPC. + + Lists Instances in a given location. + + Returns: + Callable[[~.ListInstancesRequest], + Awaitable[~.ListInstancesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_instances' not in self._stubs: + self._stubs['list_instances'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ListInstances', + request_serializer=cloud_memcache.ListInstancesRequest.serialize, + response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, + ) + return self._stubs['list_instances'] + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + Awaitable[cloud_memcache.Instance]]: + r"""Return a callable for the get instance method over gRPC. + + Gets details of a single Instance. + + Returns: + Callable[[~.GetInstanceRequest], + Awaitable[~.Instance]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_instance' not in self._stubs: + self._stubs['get_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/GetInstance', + request_serializer=cloud_memcache.GetInstanceRequest.serialize, + response_deserializer=cloud_memcache.Instance.deserialize, + ) + return self._stubs['get_instance'] + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the create instance method over gRPC. + + Creates a new Instance in a given location. + + Returns: + Callable[[~.CreateInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_instance' not in self._stubs: + self._stubs['create_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/CreateInstance', + request_serializer=cloud_memcache.CreateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['create_instance'] + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the update instance method over gRPC. + + Updates an existing Instance in a given project and + location. + + Returns: + Callable[[~.UpdateInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_instance' not in self._stubs: + self._stubs['update_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateInstance', + request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_instance'] + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the update parameters method over gRPC. + + Updates the defined Memcached parameters for an existing + instance. This method only stages the parameters, it must be + followed by ``ApplyParameters`` to apply the parameters to nodes + of the Memcached instance. + + Returns: + Callable[[~.UpdateParametersRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_parameters' not in self._stubs: + self._stubs['update_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateParameters', + request_serializer=cloud_memcache.UpdateParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_parameters'] + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the delete instance method over gRPC. + + Deletes a single Instance. + + Returns: + Callable[[~.DeleteInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_instance' not in self._stubs: + self._stubs['delete_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/DeleteInstance', + request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_instance'] + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the apply parameters method over gRPC. + + ``ApplyParameters`` restarts the set of specified nodes in order + to update them to the current set of parameters for the + Memcached Instance. + + Returns: + Callable[[~.ApplyParametersRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_parameters' not in self._stubs: + self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ApplyParameters', + request_serializer=cloud_memcache.ApplyParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_parameters'] + + @property + def apply_software_update(self) -> Callable[ + [cloud_memcache.ApplySoftwareUpdateRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the apply software update method over gRPC. + + Updates software on the selected nodes of the + Instance. + + Returns: + Callable[[~.ApplySoftwareUpdateRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_software_update' not in self._stubs: + self._stubs['apply_software_update'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ApplySoftwareUpdate', + request_serializer=cloud_memcache.ApplySoftwareUpdateRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_software_update'] + + def close(self): + return self.grpc_channel.close() + + +__all__ = ( + 'CloudMemcacheGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py new file mode 100644 index 0000000..c770908 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py @@ -0,0 +1,50 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .cloud_memcache import ( + ApplyParametersRequest, + ApplySoftwareUpdateRequest, + CreateInstanceRequest, + DeleteInstanceRequest, + GetInstanceRequest, + Instance, + ListInstancesRequest, + ListInstancesResponse, + LocationMetadata, + MemcacheParameters, + OperationMetadata, + UpdateInstanceRequest, + UpdateParametersRequest, + ZoneMetadata, + MemcacheVersion, +) + +__all__ = ( + 'ApplyParametersRequest', + 'ApplySoftwareUpdateRequest', + 'CreateInstanceRequest', + 'DeleteInstanceRequest', + 'GetInstanceRequest', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'LocationMetadata', + 'MemcacheParameters', + 'OperationMetadata', + 'UpdateInstanceRequest', + 'UpdateParametersRequest', + 'ZoneMetadata', + 'MemcacheVersion', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py new file mode 100644 index 0000000..f216a14 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py @@ -0,0 +1,734 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import proto # type: ignore + +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.memcache.v1beta2', + manifest={ + 'MemcacheVersion', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'GetInstanceRequest', + 'CreateInstanceRequest', + 'UpdateInstanceRequest', + 'DeleteInstanceRequest', + 'ApplyParametersRequest', + 'UpdateParametersRequest', + 'ApplySoftwareUpdateRequest', + 'MemcacheParameters', + 'OperationMetadata', + 'LocationMetadata', + 'ZoneMetadata', + }, +) + + +class MemcacheVersion(proto.Enum): + r"""Memcached versions supported by our service.""" + MEMCACHE_VERSION_UNSPECIFIED = 0 + MEMCACHE_1_5 = 1 + + +class Instance(proto.Message): + r"""A Memorystore for Memcached instance + + Attributes: + name (str): + Required. Unique name of the resource in this scope + including project and location using the form: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note: Memcached instances are managed and addressed at the + regional level so ``location_id`` here refers to a Google + Cloud region; however, users may choose which zones + Memcached nodes should be provisioned in within an instance. + Refer to + [zones][google.cloud.memcache.v1beta2.Instance.zones] field + for more details. + display_name (str): + User provided name for the instance, which is + only used for display purposes. Cannot be more + than 80 characters. + labels (Mapping[str, str]): + Resource labels to represent user-provided + metadata. Refer to cloud documentation on labels + for more details. + https://cloud.google.com/compute/docs/labeling-resources + authorized_network (str): + The full name of the Google Compute Engine + `network `__ to which + the instance is connected. If left unspecified, the + ``default`` network will be used. + zones (Sequence[str]): + Zones in which Memcached nodes should be + provisioned. Memcached nodes will be equally + distributed across these zones. If not provided, + the service will by default create nodes in all + zones in the region for the instance. + node_count (int): + Required. Number of nodes in the Memcached + instance. + node_config (google.cloud.memcache_v1beta2.types.Instance.NodeConfig): + Required. Configuration for Memcached nodes. + memcache_version (google.cloud.memcache_v1beta2.types.MemcacheVersion): + The major version of Memcached software. If not provided, + latest supported version will be used. Currently the latest + supported major version is ``MEMCACHE_1_5``. The minor + version will be automatically determined by our system based + on the latest supported minor version. + parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): + Optional: User defined parameters to apply to + the memcached process on each node. + memcache_nodes (Sequence[google.cloud.memcache_v1beta2.types.Instance.Node]): + Output only. List of Memcached nodes. Refer to + [Node][google.cloud.memcache.v1beta2.Instance.Node] message + for more details. + create_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. The time the instance was + created. + update_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. The time the instance was + updated. + state (google.cloud.memcache_v1beta2.types.Instance.State): + Output only. The state of this Memcached + instance. + memcache_full_version (str): + Output only. The full version of memcached + server running on this instance. System + automatically determines the full memcached + version for an instance based on the input + MemcacheVersion. + The full version format will be + "memcached-1.5.16". + instance_messages (Sequence[google.cloud.memcache_v1beta2.types.Instance.InstanceMessage]): + List of messages that describe the current + state of the Memcached instance. + discovery_endpoint (str): + Output only. Endpoint for the Discovery API. + update_available (bool): + Output only. Returns true if there is an + update waiting to be applied + """ + class State(proto.Enum): + r"""Different states of a Memcached instance.""" + STATE_UNSPECIFIED = 0 + CREATING = 1 + READY = 2 + DELETING = 4 + PERFORMING_MAINTENANCE = 5 + + class NodeConfig(proto.Message): + r"""Configuration for a Memcached Node. + + Attributes: + cpu_count (int): + Required. Number of cpus per Memcached node. + memory_size_mb (int): + Required. Memory size in MiB for each + Memcached node. + """ + + cpu_count = proto.Field( + proto.INT32, + number=1, + ) + memory_size_mb = proto.Field( + proto.INT32, + number=2, + ) + + class Node(proto.Message): + r""" + + Attributes: + node_id (str): + Output only. Identifier of the Memcached + node. The node id does not include project or + location like the Memcached instance name. + zone (str): + Output only. Location (GCP Zone) for the + Memcached node. + state (google.cloud.memcache_v1beta2.types.Instance.Node.State): + Output only. Current state of the Memcached + node. + host (str): + Output only. Hostname or IP address of the + Memcached node used by the clients to connect to + the Memcached server on this node. + port (int): + Output only. The port number of the Memcached + server on this node. + parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): + User defined parameters currently applied to + the node. + update_available (bool): + Output only. Returns true if there is an + update waiting to be applied + """ + class State(proto.Enum): + r"""Different states of a Memcached node.""" + STATE_UNSPECIFIED = 0 + CREATING = 1 + READY = 2 + DELETING = 3 + UPDATING = 4 + + node_id = proto.Field( + proto.STRING, + number=1, + ) + zone = proto.Field( + proto.STRING, + number=2, + ) + state = proto.Field( + proto.ENUM, + number=3, + enum='Instance.Node.State', + ) + host = proto.Field( + proto.STRING, + number=4, + ) + port = proto.Field( + proto.INT32, + number=5, + ) + parameters = proto.Field( + proto.MESSAGE, + number=6, + message='MemcacheParameters', + ) + update_available = proto.Field( + proto.BOOL, + number=7, + ) + + class InstanceMessage(proto.Message): + r""" + + Attributes: + code (google.cloud.memcache_v1beta2.types.Instance.InstanceMessage.Code): + A code that correspond to one type of + user-facing message. + message (str): + Message on memcached instance which will be + exposed to users. + """ + class Code(proto.Enum): + r"""""" + CODE_UNSPECIFIED = 0 + ZONE_DISTRIBUTION_UNBALANCED = 1 + + code = proto.Field( + proto.ENUM, + number=1, + enum='Instance.InstanceMessage.Code', + ) + message = proto.Field( + proto.STRING, + number=2, + ) + + name = proto.Field( + proto.STRING, + number=1, + ) + display_name = proto.Field( + proto.STRING, + number=2, + ) + labels = proto.MapField( + proto.STRING, + proto.STRING, + number=3, + ) + authorized_network = proto.Field( + proto.STRING, + number=4, + ) + zones = proto.RepeatedField( + proto.STRING, + number=5, + ) + node_count = proto.Field( + proto.INT32, + number=6, + ) + node_config = proto.Field( + proto.MESSAGE, + number=7, + message=NodeConfig, + ) + memcache_version = proto.Field( + proto.ENUM, + number=9, + enum='MemcacheVersion', + ) + parameters = proto.Field( + proto.MESSAGE, + number=11, + message='MemcacheParameters', + ) + memcache_nodes = proto.RepeatedField( + proto.MESSAGE, + number=12, + message=Node, + ) + create_time = proto.Field( + proto.MESSAGE, + number=13, + message=timestamp_pb2.Timestamp, + ) + update_time = proto.Field( + proto.MESSAGE, + number=14, + message=timestamp_pb2.Timestamp, + ) + state = proto.Field( + proto.ENUM, + number=15, + enum=State, + ) + memcache_full_version = proto.Field( + proto.STRING, + number=18, + ) + instance_messages = proto.RepeatedField( + proto.MESSAGE, + number=19, + message=InstanceMessage, + ) + discovery_endpoint = proto.Field( + proto.STRING, + number=20, + ) + update_available = proto.Field( + proto.BOOL, + number=21, + ) + + +class ListInstancesRequest(proto.Message): + r"""Request for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + + Attributes: + parent (str): + Required. The resource name of the instance location using + the form: ``projects/{project_id}/locations/{location_id}`` + where ``location_id`` refers to a GCP region + page_size (int): + The maximum number of items to return. + + If not specified, a default value of 1000 will be used by + the service. Regardless of the ``page_size`` value, the + response may include a partial list and a caller should only + rely on response's + [``next_page_token``][google.cloud.memcache.v1beta2.ListInstancesResponse.next_page_token] + to determine if there are more instances left to be queried. + page_token (str): + The ``next_page_token`` value returned from a previous List + request, if any. + filter (str): + List filter. For example, exclude all Memcached instances + with name as my-instance by specifying + ``"name != my-instance"``. + order_by (str): + Sort results. Supported values are "name", + "name desc" or "" (unsorted). + """ + + parent = proto.Field( + proto.STRING, + number=1, + ) + page_size = proto.Field( + proto.INT32, + number=2, + ) + page_token = proto.Field( + proto.STRING, + number=3, + ) + filter = proto.Field( + proto.STRING, + number=4, + ) + order_by = proto.Field( + proto.STRING, + number=5, + ) + + +class ListInstancesResponse(proto.Message): + r"""Response for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + + Attributes: + resources (Sequence[google.cloud.memcache_v1beta2.types.Instance]): + A list of Memcached instances in the project in the + specified location, or across all locations. + + If the ``location_id`` in the parent field of the request is + "-", all regions available to the project are queried, and + the results aggregated. + next_page_token (str): + Token to retrieve the next page of results, + or empty if there are no more results in the + list. + unreachable (Sequence[str]): + Locations that could not be reached. + """ + + @property + def raw_page(self): + return self + + resources = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Instance', + ) + next_page_token = proto.Field( + proto.STRING, + number=2, + ) + unreachable = proto.RepeatedField( + proto.STRING, + number=3, + ) + + +class GetInstanceRequest(proto.Message): + r"""Request for + [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. + + Attributes: + name (str): + Required. Memcached instance resource name in the format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + + +class CreateInstanceRequest(proto.Message): + r"""Request for + [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. + + Attributes: + parent (str): + Required. The resource name of the instance location using + the form: ``projects/{project_id}/locations/{location_id}`` + where ``location_id`` refers to a GCP region + instance_id (str): + Required. The logical name of the Memcached instance in the + user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location. + + If any of the above are not met, the API raises an invalid + argument error. + resource (google.cloud.memcache_v1beta2.types.Instance): + Required. A Memcached [Instance] resource + """ + + parent = proto.Field( + proto.STRING, + number=1, + ) + instance_id = proto.Field( + proto.STRING, + number=2, + ) + resource = proto.Field( + proto.MESSAGE, + number=3, + message='Instance', + ) + + +class UpdateInstanceRequest(proto.Message): + r"""Request for + [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. + + Attributes: + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + + - ``displayName`` + resource (google.cloud.memcache_v1beta2.types.Instance): + Required. A Memcached [Instance] resource. Only fields + specified in update_mask are updated. + """ + + update_mask = proto.Field( + proto.MESSAGE, + number=1, + message=field_mask_pb2.FieldMask, + ) + resource = proto.Field( + proto.MESSAGE, + number=2, + message='Instance', + ) + + +class DeleteInstanceRequest(proto.Message): + r"""Request for + [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. + + Attributes: + name (str): + Required. Memcached instance resource name in the format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + + +class ApplyParametersRequest(proto.Message): + r"""Request for + [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. + + Attributes: + name (str): + Required. Resource name of the Memcached + instance for which parameter group updates + should be applied. + node_ids (Sequence[str]): + Nodes to which the instance-level parameter + group is applied. + apply_all (bool): + Whether to apply instance-level parameter group to all + nodes. If set to true, users are restricted from specifying + individual nodes, and ``ApplyParameters`` updates all nodes + within the instance. + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + node_ids = proto.RepeatedField( + proto.STRING, + number=2, + ) + apply_all = proto.Field( + proto.BOOL, + number=3, + ) + + +class UpdateParametersRequest(proto.Message): + r"""Request for + [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. + + Attributes: + name (str): + Required. Resource name of the Memcached + instance for which the parameters should be + updated. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): + The parameters to apply to the instance. + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + update_mask = proto.Field( + proto.MESSAGE, + number=2, + message=field_mask_pb2.FieldMask, + ) + parameters = proto.Field( + proto.MESSAGE, + number=3, + message='MemcacheParameters', + ) + + +class ApplySoftwareUpdateRequest(proto.Message): + r"""Request for + [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. + + Attributes: + instance (str): + Required. Resource name of the Memcached + instance for which software update should be + applied. + node_ids (Sequence[str]): + Nodes to which we should apply the update to. + Note all the selected nodes are updated in + parallel. + apply_all (bool): + Whether to apply the update to all nodes. If + set to true, will explicitly restrict users from + specifying any nodes, and apply software update + to all nodes (where applicable) within the + instance. + """ + + instance = proto.Field( + proto.STRING, + number=1, + ) + node_ids = proto.RepeatedField( + proto.STRING, + number=2, + ) + apply_all = proto.Field( + proto.BOOL, + number=3, + ) + + +class MemcacheParameters(proto.Message): + r"""The unique ID associated with this set of parameters. Users + can use this id to determine if the parameters associated with + the instance differ from the parameters associated with the + nodes. A discrepancy between parameter ids can inform users that + they may need to take action to apply parameters on nodes. + + Attributes: + id (str): + Output only. + params (Mapping[str, str]): + User defined set of parameters to use in the + memcached process. + """ + + id = proto.Field( + proto.STRING, + number=1, + ) + params = proto.MapField( + proto.STRING, + proto.STRING, + number=3, + ) + + +class OperationMetadata(proto.Message): + r"""Represents the metadata of a long-running operation. + + Attributes: + create_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. Time when the operation was + created. + end_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. Time when the operation finished + running. + target (str): + Output only. Server-defined resource path for + the target of the operation. + verb (str): + Output only. Name of the verb executed by the + operation. + status_detail (str): + Output only. Human-readable status of the + operation, if any. + cancel_requested (bool): + Output only. Identifies whether the user has requested + cancellation of the operation. Operations that have + successfully been cancelled have [Operation.error][] value + with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``. + api_version (str): + Output only. API version used to start the + operation. + """ + + create_time = proto.Field( + proto.MESSAGE, + number=1, + message=timestamp_pb2.Timestamp, + ) + end_time = proto.Field( + proto.MESSAGE, + number=2, + message=timestamp_pb2.Timestamp, + ) + target = proto.Field( + proto.STRING, + number=3, + ) + verb = proto.Field( + proto.STRING, + number=4, + ) + status_detail = proto.Field( + proto.STRING, + number=5, + ) + cancel_requested = proto.Field( + proto.BOOL, + number=6, + ) + api_version = proto.Field( + proto.STRING, + number=7, + ) + + +class LocationMetadata(proto.Message): + r"""Metadata for the given + [google.cloud.location.Location][google.cloud.location.Location]. + + Attributes: + available_zones (Mapping[str, google.cloud.memcache_v1beta2.types.ZoneMetadata]): + Output only. The set of available zones in the location. The + map is keyed by the lowercase ID of each zone, as defined by + GCE. These keys can be specified in the ``zones`` field when + creating a Memcached instance. + """ + + available_zones = proto.MapField( + proto.STRING, + proto.MESSAGE, + number=1, + message='ZoneMetadata', + ) + + +class ZoneMetadata(proto.Message): + r""" + """ + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/v1beta2/mypy.ini b/owl-bot-staging/v1beta2/mypy.ini new file mode 100644 index 0000000..4505b48 --- /dev/null +++ b/owl-bot-staging/v1beta2/mypy.ini @@ -0,0 +1,3 @@ +[mypy] +python_version = 3.6 +namespace_packages = True diff --git a/owl-bot-staging/v1beta2/noxfile.py b/owl-bot-staging/v1beta2/noxfile.py new file mode 100644 index 0000000..29c0f16 --- /dev/null +++ b/owl-bot-staging/v1beta2/noxfile.py @@ -0,0 +1,180 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +import pathlib +import shutil +import subprocess +import sys + + +import nox # type: ignore + +ALL_PYTHON = [ + "3.6", + "3.7", + "3.8", + "3.9", + "3.10", +] + +CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() + +LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" +PACKAGE_NAME = subprocess.check_output([sys.executable, "setup.py", "--name"], encoding="utf-8") + +BLACK_VERSION = "black==19.10b0" +BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] +DEFAULT_PYTHON_VERSION = "3.9" + +nox.sessions = [ + "unit", + "cover", + "mypy", + "check_lower_bounds" + # exclude update_lower_bounds from default + "docs", + "blacken", + "lint", + "lint_setup_py", +] + +@nox.session(python=ALL_PYTHON) +def unit(session): + """Run the unit test suite.""" + + session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') + session.install('-e', '.') + + session.run( + 'py.test', + '--quiet', + '--cov=google/cloud/memcache_v1beta2/', + '--cov=tests/', + '--cov-config=.coveragerc', + '--cov-report=term', + '--cov-report=html', + os.path.join('tests', 'unit', ''.join(session.posargs)) + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def cover(session): + """Run the final coverage report. + This outputs the coverage report aggregating coverage from the unit + test runs (not system test runs), and then erases coverage data. + """ + session.install("coverage", "pytest-cov") + session.run("coverage", "report", "--show-missing", "--fail-under=100") + + session.run("coverage", "erase") + + +@nox.session(python=ALL_PYTHON) +def mypy(session): + """Run the type checker.""" + session.install('mypy', 'types-pkg_resources') + session.install('.') + session.run( + 'mypy', + '--explicit-package-bases', + 'google', + ) + + +@nox.session +def update_lower_bounds(session): + """Update lower bounds in constraints.txt to match setup.py""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'update', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + + +@nox.session +def check_lower_bounds(session): + """Check lower bounds in setup.py are reflected in constraints file""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'check', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def docs(session): + """Build the docs for this library.""" + + session.install("-e", ".") + session.install("sphinx==4.0.1", "alabaster", "recommonmark") + + shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) + session.run( + "sphinx-build", + "-W", # warnings as errors + "-T", # show full traceback on exception + "-N", # no colors + "-b", + "html", + "-d", + os.path.join("docs", "_build", "doctrees", ""), + os.path.join("docs", ""), + os.path.join("docs", "_build", "html", ""), + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint(session): + """Run linters. + + Returns a failure if the linters find linting errors or sufficiently + serious code quality issues. + """ + session.install("flake8", BLACK_VERSION) + session.run( + "black", + "--check", + *BLACK_PATHS, + ) + session.run("flake8", "google", "tests", "samples") + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def blacken(session): + """Run black. Format code to uniform standard.""" + session.install(BLACK_VERSION) + session.run( + "black", + *BLACK_PATHS, + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint_setup_py(session): + """Verify that setup.py is valid (including RST check).""" + session.install("docutils", "pygments") + session.run("python", "setup.py", "check", "--restructuredtext", "--strict") diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py new file mode 100644 index 0000000..eef58f6 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplyParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ApplyParameters_async] +from google.cloud import memcache_v1beta2 + + +async def sample_apply_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ApplyParameters_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py new file mode 100644 index 0000000..159a37c --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplyParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ApplyParameters_sync] +from google.cloud import memcache_v1beta2 + + +def sample_apply_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ApplyParameters_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py new file mode 100644 index 0000000..7cdcda9 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplySoftwareUpdate +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_async] +from google.cloud import memcache_v1beta2 + + +async def sample_apply_software_update(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplySoftwareUpdateRequest( + instance="instance_value", + ) + + # Make the request + operation = client.apply_software_update(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py new file mode 100644 index 0000000..f3d7fef --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplySoftwareUpdate +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_sync] +from google.cloud import memcache_v1beta2 + + +def sample_apply_software_update(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplySoftwareUpdateRequest( + instance="instance_value", + ) + + # Make the request + operation = client.apply_software_update(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py new file mode 100644 index 0000000..aa17117 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_CreateInstance_async] +from google.cloud import memcache_v1beta2 + + +async def sample_create_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + resource=resource, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_CreateInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py new file mode 100644 index 0000000..f1ec09e --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_CreateInstance_sync] +from google.cloud import memcache_v1beta2 + + +def sample_create_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + resource=resource, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_CreateInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py new file mode 100644 index 0000000..f7a715b --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_DeleteInstance_async] +from google.cloud import memcache_v1beta2 + + +async def sample_delete_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_DeleteInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py new file mode 100644 index 0000000..497447a --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_DeleteInstance_sync] +from google.cloud import memcache_v1beta2 + + +def sample_delete_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_DeleteInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py new file mode 100644 index 0000000..a17c364 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py @@ -0,0 +1,45 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_GetInstance_async] +from google.cloud import memcache_v1beta2 + + +async def sample_get_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = await client.get_instance(request=request) + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_GetInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py new file mode 100644 index 0000000..aa391b1 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py @@ -0,0 +1,45 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_GetInstance_sync] +from google.cloud import memcache_v1beta2 + + +def sample_get_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = client.get_instance(request=request) + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_GetInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py new file mode 100644 index 0000000..860b2f0 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py @@ -0,0 +1,46 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListInstances +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ListInstances_async] +from google.cloud import memcache_v1beta2 + + +async def sample_list_instances(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ListInstances_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py new file mode 100644 index 0000000..a4d39a4 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py @@ -0,0 +1,46 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListInstances +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ListInstances_sync] +from google.cloud import memcache_v1beta2 + + +def sample_list_instances(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ListInstances_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py new file mode 100644 index 0000000..a7d90c8 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py @@ -0,0 +1,55 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_UpdateInstance_async] +from google.cloud import memcache_v1beta2 + + +async def sample_update_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.UpdateInstanceRequest( + resource=resource, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_UpdateInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py new file mode 100644 index 0000000..e3e4e0c --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py @@ -0,0 +1,55 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_UpdateInstance_sync] +from google.cloud import memcache_v1beta2 + + +def sample_update_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.UpdateInstanceRequest( + resource=resource, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_UpdateInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py new file mode 100644 index 0000000..6ddba29 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_UpdateParameters_async] +from google.cloud import memcache_v1beta2 + + +async def sample_update_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_UpdateParameters_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py new file mode 100644 index 0000000..bea149a --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_UpdateParameters_sync] +from google.cloud import memcache_v1beta2 + + +def sample_update_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_UpdateParameters_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json b/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json new file mode 100644 index 0000000..d2dd1a7 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json @@ -0,0 +1,1374 @@ +{ + "clientLibrary": { + "apis": [ + { + "id": "google.cloud.memcache.v1beta2", + "version": "v1beta2" + } + ], + "language": "PYTHON", + "name": "google-cloud-memcache" + }, + "snippets": [ + { + "canonical": true, + "clientMethod": { + "async": true, + "client": { + "fullName": "google.cloud.memcache_v1beta2.CloudMemcacheAsyncClient", + "shortName": "CloudMemcacheAsyncClient" + }, + "fullName": "google.cloud.memcache_v1beta2.CloudMemcacheAsyncClient.apply_parameters", + "method": { + "fullName": "google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters", + "service": { + "fullName": "google.cloud.memcache.v1beta2.CloudMemcache", + 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UpdateParameters", + "file": "memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py", + "language": "PYTHON", + "origin": "API_DEFINITION", + "regionTag": "memcache_v1beta2_generated_CloudMemcache_UpdateParameters_async", + "segments": [ + { + "end": 48, + "start": 27, + "type": "FULL" + }, + { + "end": 48, + "start": 27, + "type": "SHORT" + }, + { + "end": 33, + "start": 31, + "type": "CLIENT_INITIALIZATION" + }, + { + "end": 38, + "start": 34, + "type": "REQUEST_INITIALIZATION" + }, + { + "end": 45, + "start": 39, + "type": "REQUEST_EXECUTION" + }, + { + "end": 49, + "start": 46, + "type": "RESPONSE_HANDLING" + } + ], + "title": "memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py" + }, + { + "canonical": true, + "clientMethod": { + "client": { + "fullName": "google.cloud.memcache_v1beta2.CloudMemcacheClient", + "shortName": "CloudMemcacheClient" + }, + "fullName": "google.cloud.memcache_v1beta2.CloudMemcacheClient.update_parameters", + "method": { + 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"language": "PYTHON", + "origin": "API_DEFINITION", + "regionTag": "memcache_v1beta2_generated_CloudMemcache_UpdateParameters_sync", + "segments": [ + { + "end": 48, + "start": 27, + "type": "FULL" + }, + { + "end": 48, + "start": 27, + "type": "SHORT" + }, + { + "end": 33, + "start": 31, + "type": "CLIENT_INITIALIZATION" + }, + { + "end": 38, + "start": 34, + "type": "REQUEST_INITIALIZATION" + }, + { + "end": 45, + "start": 39, + "type": "REQUEST_EXECUTION" + }, + { + "end": 49, + "start": 46, + "type": "RESPONSE_HANDLING" + } + ], + "title": "memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py" + } + ] +} diff --git a/owl-bot-staging/v1beta2/scripts/fixup_memcache_v1beta2_keywords.py b/owl-bot-staging/v1beta2/scripts/fixup_memcache_v1beta2_keywords.py new file mode 100644 index 0000000..4b5aa32 --- /dev/null +++ b/owl-bot-staging/v1beta2/scripts/fixup_memcache_v1beta2_keywords.py @@ -0,0 +1,183 @@ +#! /usr/bin/env python3 +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import argparse +import os +import libcst as cst +import pathlib +import sys +from typing import (Any, Callable, Dict, List, Sequence, Tuple) + + +def partition( + predicate: Callable[[Any], bool], + iterator: Sequence[Any] +) -> Tuple[List[Any], List[Any]]: + """A stable, out-of-place partition.""" + results = ([], []) + + for i in iterator: + results[int(predicate(i))].append(i) + + # Returns trueList, falseList + return results[1], results[0] + + +class memcacheCallTransformer(cst.CSTTransformer): + CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') + METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { + 'apply_parameters': ('name', 'node_ids', 'apply_all', ), + 'apply_software_update': ('instance', 'node_ids', 'apply_all', ), + 'create_instance': ('parent', 'instance_id', 'resource', ), + 'delete_instance': ('name', ), + 'get_instance': ('name', ), + 'list_instances': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ), + 'update_instance': ('update_mask', 'resource', ), + 'update_parameters': ('name', 'update_mask', 'parameters', ), + } + + def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: + try: + key = original.func.attr.value + kword_params = self.METHOD_TO_PARAMS[key] + except (AttributeError, KeyError): + # Either not a method from the API or too convoluted to be sure. + return updated + + # If the existing code is valid, keyword args come after positional args. + # Therefore, all positional args must map to the first parameters. + args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) + if any(k.keyword.value == "request" for k in kwargs): + # We've already fixed this file, don't fix it again. + return updated + + kwargs, ctrl_kwargs = partition( + lambda a: a.keyword.value not in self.CTRL_PARAMS, + kwargs + ) + + args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] + ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) + for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) + + request_arg = cst.Arg( + value=cst.Dict([ + cst.DictElement( + cst.SimpleString("'{}'".format(name)), +cst.Element(value=arg.value) + ) + # Note: the args + kwargs looks silly, but keep in mind that + # the control parameters had to be stripped out, and that + # those could have been passed positionally or by keyword. + for name, arg in zip(kword_params, args + kwargs)]), + keyword=cst.Name("request") + ) + + return updated.with_changes( + args=[request_arg] + ctrl_kwargs + ) + + +def fix_files( + in_dir: pathlib.Path, + out_dir: pathlib.Path, + *, + transformer=memcacheCallTransformer(), +): + """Duplicate the input dir to the output dir, fixing file method calls. + + Preconditions: + * in_dir is a real directory + * out_dir is a real, empty directory + """ + pyfile_gen = ( + pathlib.Path(os.path.join(root, f)) + for root, _, files in os.walk(in_dir) + for f in files if os.path.splitext(f)[1] == ".py" + ) + + for fpath in pyfile_gen: + with open(fpath, 'r') as f: + src = f.read() + + # Parse the code and insert method call fixes. + tree = cst.parse_module(src) + updated = tree.visit(transformer) + + # Create the path and directory structure for the new file. + updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) + updated_path.parent.mkdir(parents=True, exist_ok=True) + + # Generate the updated source file at the corresponding path. + with open(updated_path, 'w') as f: + f.write(updated.code) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description="""Fix up source that uses the memcache client library. + +The existing sources are NOT overwritten but are copied to output_dir with changes made. + +Note: This tool operates at a best-effort level at converting positional + parameters in client method calls to keyword based parameters. + Cases where it WILL FAIL include + A) * or ** expansion in a method call. + B) Calls via function or method alias (includes free function calls) + C) Indirect or dispatched calls (e.g. the method is looked up dynamically) + + These all constitute false negatives. The tool will also detect false + positives when an API method shares a name with another method. +""") + parser.add_argument( + '-d', + '--input-directory', + required=True, + dest='input_dir', + help='the input directory to walk for python files to fix up', + ) + parser.add_argument( + '-o', + '--output-directory', + required=True, + dest='output_dir', + help='the directory to output files fixed via un-flattening', + ) + args = parser.parse_args() + input_dir = pathlib.Path(args.input_dir) + output_dir = pathlib.Path(args.output_dir) + if not input_dir.is_dir(): + print( + f"input directory '{input_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if not output_dir.is_dir(): + print( + f"output directory '{output_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if os.listdir(output_dir): + print( + f"output directory '{output_dir}' is not empty", + file=sys.stderr, + ) + sys.exit(-1) + + fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/v1beta2/setup.py b/owl-bot-staging/v1beta2/setup.py new file mode 100644 index 0000000..a22e368 --- /dev/null +++ b/owl-bot-staging/v1beta2/setup.py @@ -0,0 +1,59 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import io +import os +import setuptools # type: ignore + +version = '0.1.0' + +package_root = os.path.abspath(os.path.dirname(__file__)) + +readme_filename = os.path.join(package_root, 'README.rst') +with io.open(readme_filename, encoding='utf-8') as readme_file: + readme = readme_file.read() + +setuptools.setup( + name='google-cloud-memcache', + author="Google LLC", + author_email="googleapis-packages@google.com", + url="https://github.com/googleapis/python-google-cloud-memcache", + version=version, + long_description=readme, + packages=setuptools.PEP420PackageFinder.find(), + namespace_packages=('google', 'google.cloud'), + platforms='Posix; MacOS X; Windows', + include_package_data=True, + install_requires=( + 'google-api-core[grpc] >= 2.8.0, < 3.0.0dev', + 'libcst >= 0.2.5', + 'googleapis-common-protos >= 1.55.0, <2.0.0dev', + 'proto-plus >= 1.19.7', + ), + python_requires='>=3.6', + classifiers=[ + 'Development Status :: 3 - Alpha', + 'Intended Audience :: Developers', + 'Operating System :: OS Independent', + 'Programming Language :: Python :: 3.6', + 'Programming Language :: Python :: 3.7', + 'Programming Language :: Python :: 3.8', + 'Programming Language :: Python :: 3.9', + 'Programming Language :: Python :: 3.10', + 'Topic :: Internet', + 'Topic :: Software Development :: Libraries :: Python Modules', + ], + zip_safe=False, +) diff --git a/owl-bot-staging/v1beta2/tests/__init__.py b/owl-bot-staging/v1beta2/tests/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1beta2/tests/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1beta2/tests/unit/__init__.py b/owl-bot-staging/v1beta2/tests/unit/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1beta2/tests/unit/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py b/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py new file mode 100644 index 0000000..b77cb16 --- /dev/null +++ b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py @@ -0,0 +1,3375 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +# try/except added for compatibility with python < 3.8 +try: + from unittest import mock + from unittest.mock import AsyncMock +except ImportError: + import mock + +import grpc +from grpc.experimental import aio +import math +import pytest +from proto.marshal.rules.dates import DurationRule, TimestampRule + + +from google.api_core import client_options +from google.api_core import exceptions as core_exceptions +from google.api_core import future +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers +from google.api_core import grpc_helpers_async +from google.api_core import operation +from google.api_core import operation_async # type: ignore +from google.api_core import operations_v1 +from google.api_core import path_template +from google.auth import credentials as ga_credentials +from google.auth.exceptions import MutualTLSChannelError +from google.cloud.memcache_v1beta2.services.cloud_memcache import CloudMemcacheAsyncClient +from google.cloud.memcache_v1beta2.services.cloud_memcache import CloudMemcacheClient +from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers +from google.cloud.memcache_v1beta2.services.cloud_memcache import transports +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.longrunning import operations_pb2 +from google.oauth2 import service_account +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +import google.auth + + +def client_cert_source_callback(): + return b"cert bytes", b"key bytes" + + +# If default endpoint is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint(client): + return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT + + +def test__get_default_mtls_endpoint(): + api_endpoint = "example.googleapis.com" + api_mtls_endpoint = "example.mtls.googleapis.com" + sandbox_endpoint = "example.sandbox.googleapis.com" + sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" + non_googleapi = "api.example.com" + + assert CloudMemcacheClient._get_default_mtls_endpoint(None) is None + assert CloudMemcacheClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi + + +@pytest.mark.parametrize("client_class,transport_name", [ + (CloudMemcacheClient, "grpc"), + (CloudMemcacheAsyncClient, "grpc_asyncio"), +]) +def test_cloud_memcache_client_from_service_account_info(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: + factory.return_value = creds + info = {"valid": True} + client = client_class.from_service_account_info(info, transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + + +@pytest.mark.parametrize("transport_class,transport_name", [ + (transports.CloudMemcacheGrpcTransport, "grpc"), + (transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +def test_cloud_memcache_client_service_account_always_use_jwt(transport_class, transport_name): + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=True) + use_jwt.assert_called_once_with(True) + + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=False) + use_jwt.assert_not_called() + + +@pytest.mark.parametrize("client_class,transport_name", [ + (CloudMemcacheClient, "grpc"), + (CloudMemcacheAsyncClient, "grpc_asyncio"), +]) +def test_cloud_memcache_client_from_service_account_file(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: + factory.return_value = creds + client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + + +def test_cloud_memcache_client_get_transport_class(): + transport = CloudMemcacheClient.get_transport_class() + available_transports = [ + transports.CloudMemcacheGrpcTransport, + ] + assert transport in available_transports + + transport = CloudMemcacheClient.get_transport_class("grpc") + assert transport == transports.CloudMemcacheGrpcTransport + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +def test_cloud_memcache_client_client_options(client_class, transport_class, transport_name): + # Check that if channel is provided we won't create a new one. + with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + client = client_class(transport=transport) + gtc.assert_not_called() + + # Check that if channel is provided via str we will create a new one. + with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: + client = client_class(transport=transport_name) + gtc.assert_called() + + # Check the case api_endpoint is provided. + options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name, client_options=options) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_MTLS_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError): + client = client_class(transport=transport_name) + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError): + client = client_class(transport=transport_name) + + # Check the case quota_project_id is provided + options = client_options.ClientOptions(quota_project_id="octopus") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id="octopus", + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + # Check the case api_endpoint is provided + options = client_options.ClientOptions(api_audience="https://language.googleapis.com") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience="https://language.googleapis.com" + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "true"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "true"), + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "false"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "false"), +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) +def test_cloud_memcache_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): + # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default + # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. + + # Check the case client_cert_source is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + + if use_client_cert_env == "false": + expected_client_cert_source = None + expected_host = client.DEFAULT_ENDPOINT + else: + expected_client_cert_source = client_cert_source_callback + expected_host = client.DEFAULT_MTLS_ENDPOINT + + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case ADC client cert is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): + if use_client_cert_env == "false": + expected_host = client.DEFAULT_ENDPOINT + expected_client_cert_source = None + else: + expected_host = client.DEFAULT_MTLS_ENDPOINT + expected_client_cert_source = client_cert_source_callback + + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case client_cert_source and ADC client cert are not provided. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class", [ + CloudMemcacheClient, CloudMemcacheAsyncClient +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +def test_cloud_memcache_client_get_mtls_endpoint_and_cert_source(client_class): + mock_client_cert_source = mock.Mock() + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source == mock_client_cert_source + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + mock_client_cert_source = mock.Mock() + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source == mock_client_cert_source + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +def test_cloud_memcache_client_client_options_scopes(client_class, transport_class, transport_name): + # Check the case scopes are provided. + options = client_options.ClientOptions( + scopes=["1", "2"], + ) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=["1", "2"], + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_cloud_memcache_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +def test_cloud_memcache_client_client_options_from_dict(): + with mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__') as grpc_transport: + grpc_transport.return_value = None + client = CloudMemcacheClient( + client_options={'api_endpoint': 'squid.clam.whelk'} + ) + grpc_transport.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_cloud_memcache_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # test that the credentials from file are saved and used as the credentials. + with mock.patch.object( + google.auth, "load_credentials_from_file", autospec=True + ) as load_creds, mock.patch.object( + google.auth, "default", autospec=True + ) as adc, mock.patch.object( + grpc_helpers, "create_channel" + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + file_creds = ga_credentials.AnonymousCredentials() + load_creds.return_value = (file_creds, None) + adc.return_value = (creds, None) + client = client_class(client_options=options, transport=transport_name) + create_channel.assert_called_with( + "memcache.googleapis.com:443", + credentials=file_creds, + credentials_file=None, + quota_project_id=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=None, + default_host="memcache.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.ListInstancesRequest, + dict, +]) +def test_list_instances(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse( + next_page_token='next_page_token_value', + unreachable=['unreachable_value'], + ) + response = client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListInstancesPager) + assert response.next_page_token == 'next_page_token_value' + assert response.unreachable == ['unreachable_value'] + + +def test_list_instances_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + client.list_instances() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + +@pytest.mark.asyncio +async def test_list_instances_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ListInstancesRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse( + next_page_token='next_page_token_value', + unreachable=['unreachable_value'], + )) + response = await client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListInstancesAsyncPager) + assert response.next_page_token == 'next_page_token_value' + assert response.unreachable == ['unreachable_value'] + + +@pytest.mark.asyncio +async def test_list_instances_async_from_dict(): + await test_list_instances_async(request_type=dict) + + +def test_list_instances_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ListInstancesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + call.return_value = cloud_memcache.ListInstancesResponse() + client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_instances_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ListInstancesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) + await client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_instances_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_instances( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_instances_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_instances( + cloud_memcache.ListInstancesRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_instances_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_instances( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_instances_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_instances( + cloud_memcache.ListInstancesRequest(), + parent='parent_value', + ) + + +def test_list_instances_pager(transport_name: str = "grpc"): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials, + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + resources=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_instances(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, cloud_memcache.Instance) + for i in results) +def test_list_instances_pages(transport_name: str = "grpc"): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials, + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + resources=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + pages = list(client.list_instances(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_instances_async_pager(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + resources=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_instances(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, cloud_memcache.Instance) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_instances_async_pages(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + resources=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + pages = [] + async for page_ in (await client.list_instances(request={})).pages: # pragma: no branch + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.GetInstanceRequest, + dict, +]) +def test_get_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance( + name='name_value', + display_name='display_name_value', + authorized_network='authorized_network_value', + zones=['zones_value'], + node_count=1070, + memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, + state=cloud_memcache.Instance.State.CREATING, + memcache_full_version='memcache_full_version_value', + discovery_endpoint='discovery_endpoint_value', + update_available=True, + ) + response = client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, cloud_memcache.Instance) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.authorized_network == 'authorized_network_value' + assert response.zones == ['zones_value'] + assert response.node_count == 1070 + assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 + assert response.state == cloud_memcache.Instance.State.CREATING + assert response.memcache_full_version == 'memcache_full_version_value' + assert response.discovery_endpoint == 'discovery_endpoint_value' + assert response.update_available is True + + +def test_get_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + client.get_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + +@pytest.mark.asyncio +async def test_get_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.GetInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance( + name='name_value', + display_name='display_name_value', + authorized_network='authorized_network_value', + zones=['zones_value'], + node_count=1070, + memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, + state=cloud_memcache.Instance.State.CREATING, + memcache_full_version='memcache_full_version_value', + discovery_endpoint='discovery_endpoint_value', + update_available=True, + )) + response = await client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, cloud_memcache.Instance) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.authorized_network == 'authorized_network_value' + assert response.zones == ['zones_value'] + assert response.node_count == 1070 + assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 + assert response.state == cloud_memcache.Instance.State.CREATING + assert response.memcache_full_version == 'memcache_full_version_value' + assert response.discovery_endpoint == 'discovery_endpoint_value' + assert response.update_available is True + + +@pytest.mark.asyncio +async def test_get_instance_async_from_dict(): + await test_get_instance_async(request_type=dict) + + +def test_get_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.GetInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + call.return_value = cloud_memcache.Instance() + client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.GetInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) + await client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_instance( + cloud_memcache.GetInstanceRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_instance( + cloud_memcache.GetInstanceRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.CreateInstanceRequest, + dict, +]) +def test_create_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_create_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + client.create_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + +@pytest.mark.asyncio +async def test_create_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.CreateInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_create_instance_async_from_dict(): + await test_create_instance_async(request_type=dict) + + +def test_create_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.CreateInstanceRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_create_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.CreateInstanceRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_create_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.create_instance( + parent='parent_value', + instance_id='instance_id_value', + resource=cloud_memcache.Instance(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].instance_id + mock_val = 'instance_id_value' + assert arg == mock_val + arg = args[0].resource + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + + +def test_create_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.create_instance( + cloud_memcache.CreateInstanceRequest(), + parent='parent_value', + instance_id='instance_id_value', + resource=cloud_memcache.Instance(name='name_value'), + ) + +@pytest.mark.asyncio +async def test_create_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.create_instance( + parent='parent_value', + instance_id='instance_id_value', + resource=cloud_memcache.Instance(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].instance_id + mock_val = 'instance_id_value' + assert arg == mock_val + arg = args[0].resource + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_create_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.create_instance( + cloud_memcache.CreateInstanceRequest(), + parent='parent_value', + instance_id='instance_id_value', + resource=cloud_memcache.Instance(name='name_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.UpdateInstanceRequest, + dict, +]) +def test_update_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_update_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + client.update_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + +@pytest.mark.asyncio +async def test_update_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_update_instance_async_from_dict(): + await test_update_instance_async(request_type=dict) + + +def test_update_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateInstanceRequest() + + request.resource.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'resource.name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_update_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateInstanceRequest() + + request.resource.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'resource.name=name_value', + ) in kw['metadata'] + + +def test_update_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.update_instance( + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + resource=cloud_memcache.Instance(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].resource + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + + +def test_update_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_instance( + cloud_memcache.UpdateInstanceRequest(), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + resource=cloud_memcache.Instance(name='name_value'), + ) + +@pytest.mark.asyncio +async def test_update_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.update_instance( + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + resource=cloud_memcache.Instance(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].resource + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_update_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.update_instance( + cloud_memcache.UpdateInstanceRequest(), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + resource=cloud_memcache.Instance(name='name_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.UpdateParametersRequest, + dict, +]) +def test_update_parameters(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_update_parameters_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + client.update_parameters() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + +@pytest.mark.asyncio +async def test_update_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateParametersRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_update_parameters_async_from_dict(): + await test_update_parameters_async(request_type=dict) + + +def test_update_parameters_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_update_parameters_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_update_parameters_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.update_parameters( + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].parameters + mock_val = cloud_memcache.MemcacheParameters(id='id_value') + assert arg == mock_val + + +def test_update_parameters_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_parameters( + cloud_memcache.UpdateParametersRequest(), + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + +@pytest.mark.asyncio +async def test_update_parameters_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.update_parameters( + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].parameters + mock_val = cloud_memcache.MemcacheParameters(id='id_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_update_parameters_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.update_parameters( + cloud_memcache.UpdateParametersRequest(), + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.DeleteInstanceRequest, + dict, +]) +def test_delete_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_delete_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + client.delete_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + +@pytest.mark.asyncio +async def test_delete_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.DeleteInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_delete_instance_async_from_dict(): + await test_delete_instance_async(request_type=dict) + + +def test_delete_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.DeleteInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_delete_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.DeleteInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_delete_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.delete_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_delete_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_instance( + cloud_memcache.DeleteInstanceRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_delete_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.delete_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_delete_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.delete_instance( + cloud_memcache.DeleteInstanceRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.ApplyParametersRequest, + dict, +]) +def test_apply_parameters(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_apply_parameters_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + client.apply_parameters() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + +@pytest.mark.asyncio +async def test_apply_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplyParametersRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_apply_parameters_async_from_dict(): + await test_apply_parameters_async(request_type=dict) + + +def test_apply_parameters_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplyParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_apply_parameters_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplyParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_apply_parameters_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.apply_parameters( + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + + +def test_apply_parameters_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.apply_parameters( + cloud_memcache.ApplyParametersRequest(), + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + +@pytest.mark.asyncio +async def test_apply_parameters_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.apply_parameters( + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + +@pytest.mark.asyncio +async def test_apply_parameters_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.apply_parameters( + cloud_memcache.ApplyParametersRequest(), + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.ApplySoftwareUpdateRequest, + dict, +]) +def test_apply_software_update(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.apply_software_update(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_apply_software_update_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + client.apply_software_update() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() + +@pytest.mark.asyncio +async def test_apply_software_update_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplySoftwareUpdateRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.apply_software_update(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_apply_software_update_async_from_dict(): + await test_apply_software_update_async(request_type=dict) + + +def test_apply_software_update_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplySoftwareUpdateRequest() + + request.instance = 'instance_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.apply_software_update(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'instance=instance_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_apply_software_update_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplySoftwareUpdateRequest() + + request.instance = 'instance_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.apply_software_update(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'instance=instance_value', + ) in kw['metadata'] + + +def test_apply_software_update_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.apply_software_update( + instance='instance_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].instance + mock_val = 'instance_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + + +def test_apply_software_update_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.apply_software_update( + cloud_memcache.ApplySoftwareUpdateRequest(), + instance='instance_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + +@pytest.mark.asyncio +async def test_apply_software_update_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.apply_software_update( + instance='instance_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].instance + mock_val = 'instance_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + +@pytest.mark.asyncio +async def test_apply_software_update_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.apply_software_update( + cloud_memcache.ApplySoftwareUpdateRequest(), + instance='instance_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + +def test_credentials_transport_error(): + # It is an error to provide credentials and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # It is an error to provide a credentials file and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options={"credentials_file": "credentials.json"}, + transport=transport, + ) + + # It is an error to provide an api_key and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options=options, + transport=transport, + ) + + # It is an error to provide an api_key and a credential. + options = mock.Mock() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options=options, + credentials=ga_credentials.AnonymousCredentials() + ) + + # It is an error to provide scopes and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options={"scopes": ["1", "2"]}, + transport=transport, + ) + + +def test_transport_instance(): + # A client may be instantiated with a custom transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + client = CloudMemcacheClient(transport=transport) + assert client.transport is transport + +def test_transport_get_channel(): + # A client may be instantiated with a custom transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + + transport = transports.CloudMemcacheGrpcAsyncIOTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + +@pytest.mark.parametrize("transport_class", [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, +]) +def test_transport_adc(transport_class): + # Test default credentials are used if not provided. + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class() + adc.assert_called_once() + +@pytest.mark.parametrize("transport_name", [ + "grpc", +]) +def test_transport_kind(transport_name): + transport = CloudMemcacheClient.get_transport_class(transport_name)( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert transport.kind == transport_name + +def test_transport_grpc_default(): + # A client should use the gRPC transport by default. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert isinstance( + client.transport, + transports.CloudMemcacheGrpcTransport, + ) + +def test_cloud_memcache_base_transport_error(): + # Passing both a credentials object and credentials_file should raise an error + with pytest.raises(core_exceptions.DuplicateCredentialArgs): + transport = transports.CloudMemcacheTransport( + credentials=ga_credentials.AnonymousCredentials(), + credentials_file="credentials.json" + ) + + +def test_cloud_memcache_base_transport(): + # Instantiate the base transport. + with mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport.__init__') as Transport: + Transport.return_value = None + transport = transports.CloudMemcacheTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Every method on the transport should just blindly + # raise NotImplementedError. + methods = ( + 'list_instances', + 'get_instance', + 'create_instance', + 'update_instance', + 'update_parameters', + 'delete_instance', + 'apply_parameters', + 'apply_software_update', + ) + for method in methods: + with pytest.raises(NotImplementedError): + getattr(transport, method)(request=object()) + + with pytest.raises(NotImplementedError): + transport.close() + + # Additionally, the LRO client (a property) should + # also raise NotImplementedError + with pytest.raises(NotImplementedError): + transport.operations_client + + # Catch all for all remaining methods and properties + remainder = [ + 'kind', + ] + for r in remainder: + with pytest.raises(NotImplementedError): + getattr(transport, r)() + + +def test_cloud_memcache_base_transport_with_credentials_file(): + # Instantiate the base transport with a credentials file + with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.CloudMemcacheTransport( + credentials_file="credentials.json", + quota_project_id="octopus", + ) + load_creds.assert_called_once_with("credentials.json", + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id="octopus", + ) + + +def test_cloud_memcache_base_transport_with_adc(): + # Test the default credentials are used if credentials and credentials_file are None. + with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.CloudMemcacheTransport() + adc.assert_called_once() + + +def test_cloud_memcache_auth_adc(): + # If no credentials are provided, we should use ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + CloudMemcacheClient() + adc.assert_called_once_with( + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id=None, + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, + ], +) +def test_cloud_memcache_transport_auth_adc(transport_class): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class(quota_project_id="octopus", scopes=["1", "2"]) + adc.assert_called_once_with( + scopes=["1", "2"], + default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), + quota_project_id="octopus", + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, + transports.CloudMemcacheRestTransport, + ], +) +def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): + host = 'https://language.com' + api_audience_tests = [None, 'https://language2.com'] + api_audience_expect = [host, 'https://language2.com'] + for t, e in zip(api_audience_tests, api_audience_expect): + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + gdch_mock = mock.MagicMock() + type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) + adc.return_value = (gdch_mock, None) + transport_class(host=host, api_audience=t) + gdch_mock.with_gdch_audience.assert_called_once_with( + e + ) + + +@pytest.mark.parametrize( + "transport_class,grpc_helpers", + [ + (transports.CloudMemcacheGrpcTransport, grpc_helpers), + (transports.CloudMemcacheGrpcAsyncIOTransport, grpc_helpers_async) + ], +) +def test_cloud_memcache_transport_create_channel(transport_class, grpc_helpers): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( + grpc_helpers, "create_channel", autospec=True + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + adc.return_value = (creds, None) + transport_class( + quota_project_id="octopus", + scopes=["1", "2"] + ) + + create_channel.assert_called_with( + "memcache.googleapis.com:443", + credentials=creds, + credentials_file=None, + quota_project_id="octopus", + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=["1", "2"], + default_host="memcache.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_grpc_transport_client_cert_source_for_mtls( + transport_class +): + cred = ga_credentials.AnonymousCredentials() + + # Check ssl_channel_credentials is used if provided. + with mock.patch.object(transport_class, "create_channel") as mock_create_channel: + mock_ssl_channel_creds = mock.Mock() + transport_class( + host="squid.clam.whelk", + credentials=cred, + ssl_channel_credentials=mock_ssl_channel_creds + ) + mock_create_channel.assert_called_once_with( + "squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_channel_creds, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls + # is used. + with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): + with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: + transport_class( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + expected_cert, expected_key = client_cert_source_callback() + mock_ssl_cred.assert_called_once_with( + certificate_chain=expected_cert, + private_key=expected_key + ) + + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", +]) +def test_cloud_memcache_host_no_port(transport_name): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com'), + transport=transport_name, + ) + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", +]) +def test_cloud_memcache_host_with_port(transport_name): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com:8000'), + transport=transport_name, + ) + assert client.transport._host == ( + 'memcache.googleapis.com:8000' + ) + +def test_cloud_memcache_grpc_transport_channel(): + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.CloudMemcacheGrpcTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +def test_cloud_memcache_grpc_asyncio_transport_channel(): + channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.CloudMemcacheGrpcAsyncIOTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_transport_channel_mtls_with_client_cert_source( + transport_class +): + with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_ssl_cred = mock.Mock() + grpc_ssl_channel_cred.return_value = mock_ssl_cred + + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + + cred = ga_credentials.AnonymousCredentials() + with pytest.warns(DeprecationWarning): + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (cred, None) + transport = transport_class( + host="squid.clam.whelk", + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=client_cert_source_callback, + ) + adc.assert_called_once() + + grpc_ssl_channel_cred.assert_called_once_with( + certificate_chain=b"cert bytes", private_key=b"key bytes" + ) + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + assert transport._ssl_channel_credentials == mock_ssl_cred + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_transport_channel_mtls_with_adc( + transport_class +): + mock_ssl_cred = mock.Mock() + with mock.patch.multiple( + "google.auth.transport.grpc.SslCredentials", + __init__=mock.Mock(return_value=None), + ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), + ): + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + mock_cred = mock.Mock() + + with pytest.warns(DeprecationWarning): + transport = transport_class( + host="squid.clam.whelk", + credentials=mock_cred, + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=None, + ) + + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=mock_cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + + +def test_cloud_memcache_grpc_lro_client(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_cloud_memcache_grpc_lro_async_client(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc_asyncio', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsAsyncClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_instance_path(): + project = "squid" + location = "clam" + instance = "whelk" + expected = "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) + actual = CloudMemcacheClient.instance_path(project, location, instance) + assert expected == actual + + +def test_parse_instance_path(): + expected = { + "project": "octopus", + "location": "oyster", + "instance": "nudibranch", + } + path = CloudMemcacheClient.instance_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_instance_path(path) + assert expected == actual + +def test_common_billing_account_path(): + billing_account = "cuttlefish" + expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + actual = CloudMemcacheClient.common_billing_account_path(billing_account) + assert expected == actual + + +def test_parse_common_billing_account_path(): + expected = { + "billing_account": "mussel", + } + path = CloudMemcacheClient.common_billing_account_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_billing_account_path(path) + assert expected == actual + +def test_common_folder_path(): + folder = "winkle" + expected = "folders/{folder}".format(folder=folder, ) + actual = CloudMemcacheClient.common_folder_path(folder) + assert expected == actual + + +def test_parse_common_folder_path(): + expected = { + "folder": "nautilus", + } + path = CloudMemcacheClient.common_folder_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_folder_path(path) + assert expected == actual + +def test_common_organization_path(): + organization = "scallop" + expected = "organizations/{organization}".format(organization=organization, ) + actual = CloudMemcacheClient.common_organization_path(organization) + assert expected == actual + + +def test_parse_common_organization_path(): + expected = { + "organization": "abalone", + } + path = CloudMemcacheClient.common_organization_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_organization_path(path) + assert expected == actual + +def test_common_project_path(): + project = "squid" + expected = "projects/{project}".format(project=project, ) + actual = CloudMemcacheClient.common_project_path(project) + assert expected == actual + + +def test_parse_common_project_path(): + expected = { + "project": "clam", + } + path = CloudMemcacheClient.common_project_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_project_path(path) + assert expected == actual + +def test_common_location_path(): + project = "whelk" + location = "octopus" + expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) + actual = CloudMemcacheClient.common_location_path(project, location) + assert expected == actual + + +def test_parse_common_location_path(): + expected = { + "project": "oyster", + "location": "nudibranch", + } + path = CloudMemcacheClient.common_location_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_location_path(path) + assert expected == actual + + +def test_client_with_default_client_info(): + client_info = gapic_v1.client_info.ClientInfo() + + with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + + with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: + transport_class = CloudMemcacheClient.get_transport_class() + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + +@pytest.mark.asyncio +async def test_transport_close_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="grpc_asyncio", + ) + with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: + async with client: + close.assert_not_called() + close.assert_called_once() + + +def test_transport_close(): + transports = { + "grpc": "_grpc_channel", + } + + for transport, close_name in transports.items(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: + with client: + close.assert_not_called() + close.assert_called_once() + +def test_client_ctx(): + transports = [ + 'grpc', + ] + for transport in transports: + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + # Test client calls underlying transport. + with mock.patch.object(type(client.transport), "close") as close: + close.assert_not_called() + with client: + pass + close.assert_called() + +@pytest.mark.parametrize("client_class,transport_class", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport), +]) +def test_api_key_credentials(client_class, transport_class): + with mock.patch.object( + google.auth._default, "get_api_key_credentials", create=True + ) as get_api_key_credentials: + mock_cred = mock.Mock() + get_api_key_credentials.return_value = mock_cred + options = client_options.ClientOptions() + options.api_key = "api_key" + with mock.patch.object(transport_class, "__init__") as patched: + patched.return_value = None + client = client_class(client_options=options) + patched.assert_called_once_with( + credentials=mock_cred, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) From b4c5efd0bc65015c192b0b8bef4b783616ae44d1 Mon Sep 17 00:00:00 2001 From: Owl Bot Date: Thu, 23 Jun 2022 22:30:08 +0000 Subject: [PATCH 2/5] =?UTF-8?q?=F0=9F=A6=89=20Updates=20from=20OwlBot=20po?= =?UTF-8?q?st-processor?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit See 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owl-bot-staging/v1beta2/tests/unit/__init__.py delete mode 100644 owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py delete mode 100644 owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py delete mode 100644 owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py diff --git a/google/cloud/memcache_v1/services/cloud_memcache/client.py b/google/cloud/memcache_v1/services/cloud_memcache/client.py index f1f1153..af3e085 100644 --- a/google/cloud/memcache_v1/services/cloud_memcache/client.py +++ b/google/cloud/memcache_v1/services/cloud_memcache/client.py @@ -448,6 +448,7 @@ def __init__( quota_project_id=client_options.quota_project_id, client_info=client_info, always_use_jwt_access=True, + api_audience=client_options.api_audience, ) def list_instances( diff --git a/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py b/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py index 2937a77..e02460b 100644 --- a/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py +++ b/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py @@ -55,6 +55,7 @@ def __init__( quota_project_id: Optional[str] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, **kwargs, ) -> None: """Instantiate the transport. @@ -82,11 +83,6 @@ def __init__( be used for service account credentials. """ - # Save the hostname. Default to port 443 (HTTPS) if none is specified. - if ":" not in host: - host += ":443" - self._host = host - scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} # Save the scopes. @@ -107,6 +103,11 @@ def __init__( credentials, _ = google.auth.default( **scopes_kwargs, quota_project_id=quota_project_id ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) # If the credentials are service account credentials, then always try to use self signed JWT. if ( @@ -119,6 +120,11 @@ def __init__( # Save the credentials. self._credentials = credentials + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + def _prep_wrapped_messages(self, client_info): # Precompute the wrapped methods. self._wrapped_methods = { diff --git a/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py b/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py index 861f134..a135b9a 100644 --- a/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py +++ b/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py @@ -76,6 +76,7 @@ def __init__( quota_project_id: Optional[str] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, ) -> None: """Instantiate the transport. @@ -172,6 +173,7 @@ def __init__( quota_project_id=quota_project_id, client_info=client_info, always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, ) if not self._grpc_channel: diff --git a/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py b/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py index 6d6f578..3430e39 100644 --- a/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py +++ b/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py @@ -121,6 +121,7 @@ def __init__( quota_project_id=None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, ) -> None: """Instantiate the transport. @@ -217,6 +218,7 @@ def __init__( quota_project_id=quota_project_id, client_info=client_info, always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, ) if not self._grpc_channel: diff --git a/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py b/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py index a9ffe7e..6726ae2 100644 --- a/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py +++ b/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py @@ -448,6 +448,7 @@ def __init__( quota_project_id=client_options.quota_project_id, client_info=client_info, always_use_jwt_access=True, + api_audience=client_options.api_audience, ) def list_instances( diff --git a/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py b/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py index e19d086..a6e6a4a 100644 --- a/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py +++ b/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py @@ -55,6 +55,7 @@ def __init__( quota_project_id: Optional[str] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, **kwargs, ) -> None: """Instantiate the transport. @@ -82,11 +83,6 @@ def __init__( be used for service account credentials. """ - # Save the hostname. Default to port 443 (HTTPS) if none is specified. - if ":" not in host: - host += ":443" - self._host = host - scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} # Save the scopes. @@ -107,6 +103,11 @@ def __init__( credentials, _ = google.auth.default( **scopes_kwargs, quota_project_id=quota_project_id ) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience( + api_audience if api_audience else host + ) # If the credentials are service account credentials, then always try to use self signed JWT. if ( @@ -119,6 +120,11 @@ def __init__( # Save the credentials. self._credentials = credentials + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ":" not in host: + host += ":443" + self._host = host + def _prep_wrapped_messages(self, client_info): # Precompute the wrapped methods. self._wrapped_methods = { diff --git a/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py b/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py index b5fffbc..4be1255 100644 --- a/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py +++ b/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py @@ -76,6 +76,7 @@ def __init__( quota_project_id: Optional[str] = None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, ) -> None: """Instantiate the transport. @@ -172,6 +173,7 @@ def __init__( quota_project_id=quota_project_id, client_info=client_info, always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, ) if not self._grpc_channel: diff --git a/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py b/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py index 7c00609..d0310f8 100644 --- a/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py +++ b/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py @@ -121,6 +121,7 @@ def __init__( quota_project_id=None, client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, ) -> None: """Instantiate the transport. @@ -217,6 +218,7 @@ def __init__( quota_project_id=quota_project_id, client_info=client_info, always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, ) if not self._grpc_channel: diff --git a/owl-bot-staging/v1/.coveragerc b/owl-bot-staging/v1/.coveragerc deleted file mode 100644 index 028e2ca..0000000 --- a/owl-bot-staging/v1/.coveragerc +++ /dev/null @@ -1,17 +0,0 @@ -[run] -branch = True - -[report] -show_missing = True -omit = - google/cloud/memcache/__init__.py -exclude_lines = - # Re-enable the standard pragma - pragma: NO COVER - # Ignore debug-only repr - def __repr__ - # Ignore pkg_resources exceptions. - # This is added at the module level as a safeguard for if someone - # generates the code and tries to run it without pip installing. This - # makes it virtually impossible to test properly. - except pkg_resources.DistributionNotFound diff --git a/owl-bot-staging/v1/.flake8 b/owl-bot-staging/v1/.flake8 deleted file mode 100644 index 29227d4..0000000 --- a/owl-bot-staging/v1/.flake8 +++ /dev/null @@ -1,33 +0,0 @@ -# -*- coding: utf-8 -*- -# -# Copyright 2020 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -# Generated by synthtool. DO NOT EDIT! -[flake8] -ignore = E203, E266, E501, W503 -exclude = - # Exclude generated code. - **/proto/** - **/gapic/** - **/services/** - **/types/** - *_pb2.py - - # Standard linting exemptions. - **/.nox/** - __pycache__, - .git, - *.pyc, - conf.py diff --git a/owl-bot-staging/v1/MANIFEST.in b/owl-bot-staging/v1/MANIFEST.in deleted file mode 100644 index b997504..0000000 --- a/owl-bot-staging/v1/MANIFEST.in +++ /dev/null @@ -1,2 +0,0 @@ -recursive-include google/cloud/memcache *.py -recursive-include google/cloud/memcache_v1 *.py diff --git a/owl-bot-staging/v1/README.rst b/owl-bot-staging/v1/README.rst deleted file mode 100644 index 672802b..0000000 --- a/owl-bot-staging/v1/README.rst +++ /dev/null @@ -1,49 +0,0 @@ -Python Client for Google Cloud Memcache API -================================================= - -Quick Start ------------ - -In order to use this library, you first need to go through the following steps: - -1. `Select or create a Cloud Platform project.`_ -2. `Enable billing for your project.`_ -3. Enable the Google Cloud Memcache API. -4. `Setup Authentication.`_ - -.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project -.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project -.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html - -Installation -~~~~~~~~~~~~ - -Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to -create isolated Python environments. The basic problem it addresses is one of -dependencies and versions, and indirectly permissions. - -With `virtualenv`_, it's possible to install this library without needing system -install permissions, and without clashing with the installed system -dependencies. - -.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ - - -Mac/Linux -^^^^^^^^^ - -.. code-block:: console - - python3 -m venv - source /bin/activate - /bin/pip install /path/to/library - - -Windows -^^^^^^^ - -.. code-block:: console - - python3 -m venv - \Scripts\activate - \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/v1/docs/conf.py b/owl-bot-staging/v1/docs/conf.py deleted file mode 100644 index d96922c..0000000 --- a/owl-bot-staging/v1/docs/conf.py +++ /dev/null @@ -1,376 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# -# google-cloud-memcache documentation build configuration file -# -# This file is execfile()d with the current directory set to its -# containing dir. -# -# Note that not all possible configuration values are present in this -# autogenerated file. -# -# All configuration values have a default; values that are commented out -# serve to show the default. - -import sys -import os -import shlex - -# If extensions (or modules to document with autodoc) are in another directory, -# add these directories to sys.path here. If the directory is relative to the -# documentation root, use os.path.abspath to make it absolute, like shown here. -sys.path.insert(0, os.path.abspath("..")) - -__version__ = "0.1.0" - -# -- General configuration ------------------------------------------------ - -# If your documentation needs a minimal Sphinx version, state it here. -needs_sphinx = "4.0.1" - -# Add any Sphinx extension module names here, as strings. They can be -# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom -# ones. -extensions = [ - "sphinx.ext.autodoc", - "sphinx.ext.autosummary", - "sphinx.ext.intersphinx", - "sphinx.ext.coverage", - "sphinx.ext.napoleon", - "sphinx.ext.todo", - "sphinx.ext.viewcode", -] - -# autodoc/autosummary flags -autoclass_content = "both" -autodoc_default_flags = ["members"] -autosummary_generate = True - - -# Add any paths that contain templates here, relative to this directory. -templates_path = ["_templates"] - -# Allow markdown includes (so releases.md can include CHANGLEOG.md) -# http://www.sphinx-doc.org/en/master/markdown.html -source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} - -# The suffix(es) of source filenames. -# You can specify multiple suffix as a list of string: -source_suffix = [".rst", ".md"] - -# The encoding of source files. -# source_encoding = 'utf-8-sig' - -# The root toctree document. -root_doc = "index" - -# General information about the project. -project = u"google-cloud-memcache" -copyright = u"2022, Google, LLC" -author = u"Google APIs" # TODO: autogenerate this bit - -# The version info for the project you're documenting, acts as replacement for -# |version| and |release|, also used in various other places throughout the -# built documents. -# -# The full version, including alpha/beta/rc tags. -release = __version__ -# The short X.Y version. -version = ".".join(release.split(".")[0:2]) - -# The language for content autogenerated by Sphinx. Refer to documentation -# for a list of supported languages. -# -# This is also used if you do content translation via gettext catalogs. -# Usually you set "language" from the command line for these cases. -language = None - -# There are two options for replacing |today|: either, you set today to some -# non-false value, then it is used: -# today = '' -# Else, today_fmt is used as the format for a strftime call. -# today_fmt = '%B %d, %Y' - -# List of patterns, relative to source directory, that match files and -# directories to ignore when looking for source files. -exclude_patterns = ["_build"] - -# The reST default role (used for this markup: `text`) to use for all -# documents. -# default_role = None - -# If true, '()' will be appended to :func: etc. cross-reference text. -# add_function_parentheses = True - -# If true, the current module name will be prepended to all description -# unit titles (such as .. function::). -# add_module_names = True - -# If true, sectionauthor and moduleauthor directives will be shown in the -# output. They are ignored by default. -# show_authors = False - -# The name of the Pygments (syntax highlighting) style to use. -pygments_style = "sphinx" - -# A list of ignored prefixes for module index sorting. -# modindex_common_prefix = [] - -# If true, keep warnings as "system message" paragraphs in the built documents. -# keep_warnings = False - -# If true, `todo` and `todoList` produce output, else they produce nothing. -todo_include_todos = True - - -# -- Options for HTML output ---------------------------------------------- - -# The theme to use for HTML and HTML Help pages. See the documentation for -# a list of builtin themes. -html_theme = "alabaster" - -# Theme options are theme-specific and customize the look and feel of a theme -# further. For a list of options available for each theme, see the -# documentation. -html_theme_options = { - "description": "Google Cloud Client Libraries for Python", - "github_user": "googleapis", - "github_repo": "google-cloud-python", - "github_banner": True, - "font_family": "'Roboto', Georgia, sans", - "head_font_family": "'Roboto', Georgia, serif", - "code_font_family": "'Roboto Mono', 'Consolas', monospace", -} - -# Add any paths that contain custom themes here, relative to this directory. -# html_theme_path = [] - -# The name for this set of Sphinx documents. If None, it defaults to -# " v documentation". -# html_title = None - -# A shorter title for the navigation bar. Default is the same as html_title. -# html_short_title = None - -# The name of an image file (relative to this directory) to place at the top -# of the sidebar. -# html_logo = None - -# The name of an image file (within the static path) to use as favicon of the -# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 -# pixels large. -# html_favicon = None - -# Add any paths that contain custom static files (such as style sheets) here, -# relative to this directory. They are copied after the builtin static files, -# so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ["_static"] - -# Add any extra paths that contain custom files (such as robots.txt or -# .htaccess) here, relative to this directory. These files are copied -# directly to the root of the documentation. -# html_extra_path = [] - -# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, -# using the given strftime format. -# html_last_updated_fmt = '%b %d, %Y' - -# If true, SmartyPants will be used to convert quotes and dashes to -# typographically correct entities. -# html_use_smartypants = True - -# Custom sidebar templates, maps document names to template names. -# html_sidebars = {} - -# Additional templates that should be rendered to pages, maps page names to -# template names. -# html_additional_pages = {} - -# If false, no module index is generated. -# html_domain_indices = True - -# If false, no index is generated. -# html_use_index = True - -# If true, the index is split into individual pages for each letter. -# html_split_index = False - -# If true, links to the reST sources are added to the pages. -# html_show_sourcelink = True - -# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. -# html_show_sphinx = True - -# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. -# html_show_copyright = True - -# If true, an OpenSearch description file will be output, and all pages will -# contain a tag referring to it. The value of this option must be the -# base URL from which the finished HTML is served. -# html_use_opensearch = '' - -# This is the file name suffix for HTML files (e.g. ".xhtml"). -# html_file_suffix = None - -# Language to be used for generating the HTML full-text search index. -# Sphinx supports the following languages: -# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' -# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' -# html_search_language = 'en' - -# A dictionary with options for the search language support, empty by default. -# Now only 'ja' uses this config value -# html_search_options = {'type': 'default'} - -# The name of a javascript file (relative to the configuration directory) that -# implements a search results scorer. If empty, the default will be used. -# html_search_scorer = 'scorer.js' - -# Output file base name for HTML help builder. -htmlhelp_basename = "google-cloud-memcache-doc" - -# -- Options for warnings ------------------------------------------------------ - - -suppress_warnings = [ - # Temporarily suppress this to avoid "more than one target found for - # cross-reference" warning, which are intractable for us to avoid while in - # a mono-repo. - # See https://github.com/sphinx-doc/sphinx/blob - # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 - "ref.python" -] - -# -- Options for LaTeX output --------------------------------------------- - -latex_elements = { - # The paper size ('letterpaper' or 'a4paper'). - # 'papersize': 'letterpaper', - # The font size ('10pt', '11pt' or '12pt'). - # 'pointsize': '10pt', - # Additional stuff for the LaTeX preamble. - # 'preamble': '', - # Latex figure (float) alignment - # 'figure_align': 'htbp', -} - -# Grouping the document tree into LaTeX files. List of tuples -# (source start file, target name, title, -# author, documentclass [howto, manual, or own class]). -latex_documents = [ - ( - root_doc, - "google-cloud-memcache.tex", - u"google-cloud-memcache Documentation", - author, - "manual", - ) -] - -# The name of an image file (relative to this directory) to place at the top of -# the title page. -# latex_logo = None - -# For "manual" documents, if this is true, then toplevel headings are parts, -# not chapters. -# latex_use_parts = False - -# If true, show page references after internal links. -# latex_show_pagerefs = False - -# If true, show URL addresses after external links. -# latex_show_urls = False - -# Documents to append as an appendix to all manuals. -# latex_appendices = [] - -# If false, no module index is generated. -# latex_domain_indices = True - - -# -- Options for manual page output --------------------------------------- - -# One entry per manual page. List of tuples -# (source start file, name, description, authors, manual section). -man_pages = [ - ( - root_doc, - "google-cloud-memcache", - u"Google Cloud Memcache Documentation", - [author], - 1, - ) -] - -# If true, show URL addresses after external links. -# man_show_urls = False - - -# -- Options for Texinfo output ------------------------------------------- - -# Grouping the document tree into Texinfo files. List of tuples -# (source start file, target name, title, author, -# dir menu entry, description, category) -texinfo_documents = [ - ( - root_doc, - "google-cloud-memcache", - u"google-cloud-memcache Documentation", - author, - "google-cloud-memcache", - "GAPIC library for Google Cloud Memcache API", - "APIs", - ) -] - -# Documents to append as an appendix to all manuals. -# texinfo_appendices = [] - -# If false, no module index is generated. -# texinfo_domain_indices = True - -# How to display URL addresses: 'footnote', 'no', or 'inline'. -# texinfo_show_urls = 'footnote' - -# If true, do not generate a @detailmenu in the "Top" node's menu. -# texinfo_no_detailmenu = False - - -# Example configuration for intersphinx: refer to the Python standard library. -intersphinx_mapping = { - "python": ("http://python.readthedocs.org/en/latest/", None), - "gax": ("https://gax-python.readthedocs.org/en/latest/", None), - "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), - "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), - "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), - "grpc": ("https://grpc.io/grpc/python/", None), - "requests": ("http://requests.kennethreitz.org/en/stable/", None), - "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), - "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), -} - - -# Napoleon settings -napoleon_google_docstring = True -napoleon_numpy_docstring = True -napoleon_include_private_with_doc = False -napoleon_include_special_with_doc = True -napoleon_use_admonition_for_examples = False -napoleon_use_admonition_for_notes = False -napoleon_use_admonition_for_references = False -napoleon_use_ivar = False -napoleon_use_param = True -napoleon_use_rtype = True diff --git a/owl-bot-staging/v1/docs/index.rst b/owl-bot-staging/v1/docs/index.rst deleted file mode 100644 index fcd849b..0000000 --- a/owl-bot-staging/v1/docs/index.rst +++ /dev/null @@ -1,7 +0,0 @@ -API Reference -------------- -.. toctree:: - :maxdepth: 2 - - memcache_v1/services - memcache_v1/types diff --git a/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst b/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst deleted file mode 100644 index 35de375..0000000 --- a/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst +++ /dev/null @@ -1,10 +0,0 @@ -CloudMemcache -------------------------------- - -.. automodule:: google.cloud.memcache_v1.services.cloud_memcache - :members: - :inherited-members: - -.. automodule:: google.cloud.memcache_v1.services.cloud_memcache.pagers - :members: - :inherited-members: diff --git a/owl-bot-staging/v1/docs/memcache_v1/services.rst b/owl-bot-staging/v1/docs/memcache_v1/services.rst deleted file mode 100644 index 01fd6b8..0000000 --- a/owl-bot-staging/v1/docs/memcache_v1/services.rst +++ /dev/null @@ -1,6 +0,0 @@ -Services for Google Cloud Memcache v1 API -========================================= -.. toctree:: - :maxdepth: 2 - - cloud_memcache diff --git a/owl-bot-staging/v1/docs/memcache_v1/types.rst b/owl-bot-staging/v1/docs/memcache_v1/types.rst deleted file mode 100644 index 06bda21..0000000 --- a/owl-bot-staging/v1/docs/memcache_v1/types.rst +++ /dev/null @@ -1,7 +0,0 @@ -Types for Google Cloud Memcache v1 API -====================================== - -.. automodule:: google.cloud.memcache_v1.types - :members: - :undoc-members: - :show-inheritance: diff --git a/owl-bot-staging/v1/google/cloud/memcache/__init__.py b/owl-bot-staging/v1/google/cloud/memcache/__init__.py deleted file mode 100644 index 7d9086e..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache/__init__.py +++ /dev/null @@ -1,47 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -from google.cloud.memcache_v1.services.cloud_memcache.client import CloudMemcacheClient -from google.cloud.memcache_v1.services.cloud_memcache.async_client import CloudMemcacheAsyncClient - -from google.cloud.memcache_v1.types.cloud_memcache import ApplyParametersRequest -from google.cloud.memcache_v1.types.cloud_memcache import CreateInstanceRequest -from google.cloud.memcache_v1.types.cloud_memcache import DeleteInstanceRequest -from google.cloud.memcache_v1.types.cloud_memcache import GetInstanceRequest -from google.cloud.memcache_v1.types.cloud_memcache import Instance -from google.cloud.memcache_v1.types.cloud_memcache import ListInstancesRequest -from google.cloud.memcache_v1.types.cloud_memcache import ListInstancesResponse -from google.cloud.memcache_v1.types.cloud_memcache import MemcacheParameters -from google.cloud.memcache_v1.types.cloud_memcache import OperationMetadata -from google.cloud.memcache_v1.types.cloud_memcache import UpdateInstanceRequest -from google.cloud.memcache_v1.types.cloud_memcache import UpdateParametersRequest -from google.cloud.memcache_v1.types.cloud_memcache import MemcacheVersion - -__all__ = ('CloudMemcacheClient', - 'CloudMemcacheAsyncClient', - 'ApplyParametersRequest', - 'CreateInstanceRequest', - 'DeleteInstanceRequest', - 'GetInstanceRequest', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'MemcacheParameters', - 'OperationMetadata', - 'UpdateInstanceRequest', - 'UpdateParametersRequest', - 'MemcacheVersion', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache/py.typed b/owl-bot-staging/v1/google/cloud/memcache/py.typed deleted file mode 100644 index 7959cf4..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache/py.typed +++ /dev/null @@ -1,2 +0,0 @@ -# Marker file for PEP 561. -# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py deleted file mode 100644 index 3f088d6..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py +++ /dev/null @@ -1,48 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -from .services.cloud_memcache import CloudMemcacheClient -from .services.cloud_memcache import CloudMemcacheAsyncClient - -from .types.cloud_memcache import ApplyParametersRequest -from .types.cloud_memcache import CreateInstanceRequest -from .types.cloud_memcache import DeleteInstanceRequest -from .types.cloud_memcache import GetInstanceRequest -from .types.cloud_memcache import Instance -from .types.cloud_memcache import ListInstancesRequest -from .types.cloud_memcache import ListInstancesResponse -from .types.cloud_memcache import MemcacheParameters -from .types.cloud_memcache import OperationMetadata -from .types.cloud_memcache import UpdateInstanceRequest -from .types.cloud_memcache import UpdateParametersRequest -from .types.cloud_memcache import MemcacheVersion - -__all__ = ( - 'CloudMemcacheAsyncClient', -'ApplyParametersRequest', -'CloudMemcacheClient', -'CreateInstanceRequest', -'DeleteInstanceRequest', -'GetInstanceRequest', -'Instance', -'ListInstancesRequest', -'ListInstancesResponse', -'MemcacheParameters', -'MemcacheVersion', -'OperationMetadata', -'UpdateInstanceRequest', -'UpdateParametersRequest', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json b/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json deleted file mode 100644 index 08d37fa..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json +++ /dev/null @@ -1,93 +0,0 @@ - { - "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", - "language": "python", - "libraryPackage": "google.cloud.memcache_v1", - "protoPackage": "google.cloud.memcache.v1", - "schema": "1.0", - "services": { - "CloudMemcache": { - "clients": { - "grpc": { - "libraryClient": "CloudMemcacheClient", - "rpcs": { - "ApplyParameters": { - "methods": [ - "apply_parameters" - ] - }, - "CreateInstance": { - "methods": [ - "create_instance" - ] - }, - "DeleteInstance": { - "methods": [ - "delete_instance" - ] - }, - "GetInstance": { - "methods": [ - "get_instance" - ] - }, - "ListInstances": { - "methods": [ - "list_instances" - ] - }, - "UpdateInstance": { - "methods": [ - "update_instance" - ] - }, - "UpdateParameters": { - "methods": [ - "update_parameters" - ] - } - } - }, - "grpc-async": { - "libraryClient": "CloudMemcacheAsyncClient", - "rpcs": { - "ApplyParameters": { - "methods": [ - "apply_parameters" - ] - }, - "CreateInstance": { - "methods": [ - "create_instance" - ] - }, - "DeleteInstance": { - "methods": [ - "delete_instance" - ] - }, - "GetInstance": { - "methods": [ - "get_instance" - ] - }, - "ListInstances": { - "methods": [ - "list_instances" - ] - }, - "UpdateInstance": { - "methods": [ - "update_instance" - ] - }, - "UpdateParameters": { - "methods": [ - "update_parameters" - ] - } - } - } - } - } - } -} diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed b/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed deleted file mode 100644 index 7959cf4..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed +++ /dev/null @@ -1,2 +0,0 @@ -# Marker file for PEP 561. -# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py deleted file mode 100644 index e8e1c38..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py deleted file mode 100644 index a7034a9..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py +++ /dev/null @@ -1,22 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from .client import CloudMemcacheClient -from .async_client import CloudMemcacheAsyncClient - -__all__ = ( - 'CloudMemcacheClient', - 'CloudMemcacheAsyncClient', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py deleted file mode 100644 index d79ba21..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py +++ /dev/null @@ -1,1089 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -import functools -import re -from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union -import pkg_resources - -from google.api_core.client_options import ClientOptions -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.auth import credentials as ga_credentials # type: ignore -from google.oauth2 import service_account # type: ignore - -try: - OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] -except AttributeError: # pragma: NO COVER - OptionalRetry = Union[retries.Retry, object] # type: ignore - -from google.api_core import operation # type: ignore -from google.api_core import operation_async # type: ignore -from google.cloud.memcache_v1.services.cloud_memcache import pagers -from google.cloud.memcache_v1.types import cloud_memcache -from google.protobuf import empty_pb2 # type: ignore -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport -from .client import CloudMemcacheClient - - -class CloudMemcacheAsyncClient: - """Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - """ - - _client: CloudMemcacheClient - - DEFAULT_ENDPOINT = CloudMemcacheClient.DEFAULT_ENDPOINT - DEFAULT_MTLS_ENDPOINT = CloudMemcacheClient.DEFAULT_MTLS_ENDPOINT - - instance_path = staticmethod(CloudMemcacheClient.instance_path) - parse_instance_path = staticmethod(CloudMemcacheClient.parse_instance_path) - common_billing_account_path = staticmethod(CloudMemcacheClient.common_billing_account_path) - parse_common_billing_account_path = staticmethod(CloudMemcacheClient.parse_common_billing_account_path) - common_folder_path = staticmethod(CloudMemcacheClient.common_folder_path) - parse_common_folder_path = staticmethod(CloudMemcacheClient.parse_common_folder_path) - common_organization_path = staticmethod(CloudMemcacheClient.common_organization_path) - parse_common_organization_path = staticmethod(CloudMemcacheClient.parse_common_organization_path) - common_project_path = staticmethod(CloudMemcacheClient.common_project_path) - parse_common_project_path = staticmethod(CloudMemcacheClient.parse_common_project_path) - common_location_path = staticmethod(CloudMemcacheClient.common_location_path) - parse_common_location_path = staticmethod(CloudMemcacheClient.parse_common_location_path) - - @classmethod - def from_service_account_info(cls, info: dict, *args, **kwargs): - """Creates an instance of this client using the provided credentials - info. - - Args: - info (dict): The service account private key info. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheAsyncClient: The constructed client. - """ - return CloudMemcacheClient.from_service_account_info.__func__(CloudMemcacheAsyncClient, info, *args, **kwargs) # type: ignore - - @classmethod - def from_service_account_file(cls, filename: str, *args, **kwargs): - """Creates an instance of this client using the provided credentials - file. - - Args: - filename (str): The path to the service account private key json - file. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheAsyncClient: The constructed client. - """ - return CloudMemcacheClient.from_service_account_file.__func__(CloudMemcacheAsyncClient, filename, *args, **kwargs) # type: ignore - - from_service_account_json = from_service_account_file - - @classmethod - def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): - """Return the API endpoint and client cert source for mutual TLS. - - The client cert source is determined in the following order: - (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the - client cert source is None. - (2) if `client_options.client_cert_source` is provided, use the provided one; if the - default client cert source exists, use the default one; otherwise the client cert - source is None. - - The API endpoint is determined in the following order: - (1) if `client_options.api_endpoint` if provided, use the provided one. - (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the - default mTLS endpoint; if the environment variabel is "never", use the default API - endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise - use the default API endpoint. - - More details can be found at https://google.aip.dev/auth/4114. - - Args: - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. Only the `api_endpoint` and `client_cert_source` properties may be used - in this method. - - Returns: - Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the - client cert source to use. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If any errors happen. - """ - return CloudMemcacheClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore - - @property - def transport(self) -> CloudMemcacheTransport: - """Returns the transport used by the client instance. - - Returns: - CloudMemcacheTransport: The transport used by the client instance. - """ - return self._client.transport - - get_transport_class = functools.partial(type(CloudMemcacheClient).get_transport_class, type(CloudMemcacheClient)) - - def __init__(self, *, - credentials: ga_credentials.Credentials = None, - transport: Union[str, CloudMemcacheTransport] = "grpc_asyncio", - client_options: ClientOptions = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - ) -> None: - """Instantiates the cloud memcache client. - - Args: - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - transport (Union[str, ~.CloudMemcacheTransport]): The - transport to use. If set to None, a transport is chosen - automatically. - client_options (ClientOptions): Custom options for the client. It - won't take effect if a ``transport`` instance is provided. - (1) The ``api_endpoint`` property can be used to override the - default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT - environment variable can also be used to override the endpoint: - "always" (always use the default mTLS endpoint), "never" (always - use the default regular endpoint) and "auto" (auto switch to the - default mTLS endpoint if client certificate is present, this is - the default value). However, the ``api_endpoint`` property takes - precedence if provided. - (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable - is "true", then the ``client_cert_source`` property can be used - to provide client certificate for mutual TLS transport. If - not provided, the default SSL client certificate will be used if - present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not - set, no client certificate will be used. - - Raises: - google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport - creation failed for any reason. - """ - self._client = CloudMemcacheClient( - credentials=credentials, - transport=transport, - client_options=client_options, - client_info=client_info, - - ) - - async def list_instances(self, - request: Union[cloud_memcache.ListInstancesRequest, dict] = None, - *, - parent: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> pagers.ListInstancesAsyncPager: - r"""Lists Instances in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_list_instances(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - async for response in page_result: - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]): - The request object. Request for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - parent (:class:`str`): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesAsyncPager: - Response for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - - Iterating over this object will yield results and - resolve additional pages automatically. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.ListInstancesRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.list_instances, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # This method is paged; wrap the response in a pager, which provides - # an `__aiter__` convenience method. - response = pagers.ListInstancesAsyncPager( - method=rpc, - request=request, - response=response, - metadata=metadata, - ) - - # Done; return the response. - return response - - async def get_instance(self, - request: Union[cloud_memcache.GetInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> cloud_memcache.Instance: - r"""Gets details of a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_get_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = await client.get_instance(request=request) - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]): - The request object. Request for - [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. - name (:class:`str`): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1.types.Instance: - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.GetInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.get_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Done; return the response. - return response - - async def create_instance(self, - request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, - *, - parent: str = None, - instance: cloud_memcache.Instance = None, - instance_id: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Creates a new Instance in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_create_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - instance=instance, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]): - The request object. Request for - [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. - parent (:class:`str`): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance (:class:`google.cloud.memcache_v1.types.Instance`): - Required. A Memcached Instance - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance_id (:class:`str`): - Required. The logical name of the Memcached instance in - the user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location - - If any of the above are not met, will raise an invalid - argument error. - - This corresponds to the ``instance_id`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent, instance, instance_id]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.CreateInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - if instance is not None: - request.instance = instance - if instance_id is not None: - request.instance_id = instance_id - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.create_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def update_instance(self, - request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, - *, - instance: cloud_memcache.Instance = None, - update_mask: field_mask_pb2.FieldMask = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Updates an existing Instance in a given project and - location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_update_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.UpdateInstanceRequest( - instance=instance, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]): - The request object. Request for - [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. - instance (:class:`google.cloud.memcache_v1.types.Instance`): - Required. A Memcached Instance. Only fields specified in - update_mask are updated. - - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): - Required. Mask of fields to update. - - - ``displayName`` - - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([instance, update_mask]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.UpdateInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if instance is not None: - request.instance = instance - if update_mask is not None: - request.update_mask = update_mask - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.update_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("instance.name", request.instance.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def update_parameters(self, - request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, - *, - name: str = None, - update_mask: field_mask_pb2.FieldMask = None, - parameters: cloud_memcache.MemcacheParameters = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Updates the defined Memcached Parameters for an - existing Instance. This method only stages the - parameters, it must be followed by ApplyParameters to - apply the parameters to nodes of the Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_update_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.UpdateParametersRequest, dict]): - The request object. Request for - [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. - name (:class:`str`): - Required. Resource name of the - Memcached instance for which the - parameters should be updated. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): - Required. Mask of fields to update. - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - parameters (:class:`google.cloud.memcache_v1.types.MemcacheParameters`): - The parameters to apply to the - instance. - - This corresponds to the ``parameters`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, update_mask, parameters]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.UpdateParametersRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if update_mask is not None: - request.update_mask = update_mask - if parameters is not None: - request.parameters = parameters - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.update_parameters, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def delete_instance(self, - request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Deletes a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_delete_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]): - The request object. Request for - [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. - name (:class:`str`): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated - empty messages in your APIs. A typical example is to - use it as the request or the response type of an API - method. For instance: - - service Foo { - rpc Bar(google.protobuf.Empty) returns - (google.protobuf.Empty); - - } - - The JSON representation for Empty is empty JSON - object {}. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.DeleteInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.delete_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - empty_pb2.Empty, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def apply_parameters(self, - request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, - *, - name: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""ApplyParameters will restart the set of specified - nodes in order to update them to the current set of - parameters for the Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_apply_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.ApplyParametersRequest, dict]): - The request object. Request for - [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. - name (:class:`str`): - Required. Resource name of the - Memcached instance for which parameter - group updates should be applied. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (:class:`Sequence[str]`): - Nodes to which we should apply the - instance-level parameter group. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (:class:`bool`): - Whether to apply instance-level - parameter group to all nodes. If set to - true, will explicitly restrict users - from specifying any nodes, and apply - parameter group updates to all nodes - within the instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.ApplyParametersRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if apply_all is not None: - request.apply_all = apply_all - if node_ids: - request.node_ids.extend(node_ids) - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.apply_parameters, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def __aenter__(self): - return self - - async def __aexit__(self, exc_type, exc, tb): - await self.transport.close() - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - "google-cloud-memcache", - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -__all__ = ( - "CloudMemcacheAsyncClient", -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py deleted file mode 100644 index 6db9fe3..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py +++ /dev/null @@ -1,1289 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -import os -import re -from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union -import pkg_resources - -from google.api_core import client_options as client_options_lib -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport import mtls # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore -from google.auth.exceptions import MutualTLSChannelError # type: ignore -from google.oauth2 import service_account # type: ignore - -try: - OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] -except AttributeError: # pragma: NO COVER - OptionalRetry = Union[retries.Retry, object] # type: ignore - -from google.api_core import operation # type: ignore -from google.api_core import operation_async # type: ignore -from google.cloud.memcache_v1.services.cloud_memcache import pagers -from google.cloud.memcache_v1.types import cloud_memcache -from google.protobuf import empty_pb2 # type: ignore -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .transports.grpc import CloudMemcacheGrpcTransport -from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport - - -class CloudMemcacheClientMeta(type): - """Metaclass for the CloudMemcache client. - - This provides class-level methods for building and retrieving - support objects (e.g. transport) without polluting the client instance - objects. - """ - _transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] - _transport_registry["grpc"] = CloudMemcacheGrpcTransport - _transport_registry["grpc_asyncio"] = CloudMemcacheGrpcAsyncIOTransport - - def get_transport_class(cls, - label: str = None, - ) -> Type[CloudMemcacheTransport]: - """Returns an appropriate transport class. - - Args: - label: The name of the desired transport. If none is - provided, then the first transport in the registry is used. - - Returns: - The transport class to use. - """ - # If a specific transport is requested, return that one. - if label: - return cls._transport_registry[label] - - # No transport is requested; return the default (that is, the first one - # in the dictionary). - return next(iter(cls._transport_registry.values())) - - -class CloudMemcacheClient(metaclass=CloudMemcacheClientMeta): - """Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - """ - - @staticmethod - def _get_default_mtls_endpoint(api_endpoint): - """Converts api endpoint to mTLS endpoint. - - Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to - "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. - Args: - api_endpoint (Optional[str]): the api endpoint to convert. - Returns: - str: converted mTLS api endpoint. - """ - if not api_endpoint: - return api_endpoint - - mtls_endpoint_re = re.compile( - r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" - ) - - m = mtls_endpoint_re.match(api_endpoint) - name, mtls, sandbox, googledomain = m.groups() - if mtls or not googledomain: - return api_endpoint - - if sandbox: - return api_endpoint.replace( - "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" - ) - - return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") - - DEFAULT_ENDPOINT = "memcache.googleapis.com" - DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore - DEFAULT_ENDPOINT - ) - - @classmethod - def from_service_account_info(cls, info: dict, *args, **kwargs): - """Creates an instance of this client using the provided credentials - info. - - Args: - info (dict): The service account private key info. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheClient: The constructed client. - """ - credentials = service_account.Credentials.from_service_account_info(info) - kwargs["credentials"] = credentials - return cls(*args, **kwargs) - - @classmethod - def from_service_account_file(cls, filename: str, *args, **kwargs): - """Creates an instance of this client using the provided credentials - file. - - Args: - filename (str): The path to the service account private key json - file. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheClient: The constructed client. - """ - credentials = service_account.Credentials.from_service_account_file( - filename) - kwargs["credentials"] = credentials - return cls(*args, **kwargs) - - from_service_account_json = from_service_account_file - - @property - def transport(self) -> CloudMemcacheTransport: - """Returns the transport used by the client instance. - - Returns: - CloudMemcacheTransport: The transport used by the client - instance. - """ - return self._transport - - @staticmethod - def instance_path(project: str,location: str,instance: str,) -> str: - """Returns a fully-qualified instance string.""" - return "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) - - @staticmethod - def parse_instance_path(path: str) -> Dict[str,str]: - """Parses a instance path into its component segments.""" - m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/instances/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_billing_account_path(billing_account: str, ) -> str: - """Returns a fully-qualified billing_account string.""" - return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) - - @staticmethod - def parse_common_billing_account_path(path: str) -> Dict[str,str]: - """Parse a billing_account path into its component segments.""" - m = re.match(r"^billingAccounts/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_folder_path(folder: str, ) -> str: - """Returns a fully-qualified folder string.""" - return "folders/{folder}".format(folder=folder, ) - - @staticmethod - def parse_common_folder_path(path: str) -> Dict[str,str]: - """Parse a folder path into its component segments.""" - m = re.match(r"^folders/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_organization_path(organization: str, ) -> str: - """Returns a fully-qualified organization string.""" - return "organizations/{organization}".format(organization=organization, ) - - @staticmethod - def parse_common_organization_path(path: str) -> Dict[str,str]: - """Parse a organization path into its component segments.""" - m = re.match(r"^organizations/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_project_path(project: str, ) -> str: - """Returns a fully-qualified project string.""" - return "projects/{project}".format(project=project, ) - - @staticmethod - def parse_common_project_path(path: str) -> Dict[str,str]: - """Parse a project path into its component segments.""" - m = re.match(r"^projects/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_location_path(project: str, location: str, ) -> str: - """Returns a fully-qualified location string.""" - return "projects/{project}/locations/{location}".format(project=project, location=location, ) - - @staticmethod - def parse_common_location_path(path: str) -> Dict[str,str]: - """Parse a location path into its component segments.""" - m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) - return m.groupdict() if m else {} - - @classmethod - def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): - """Return the API endpoint and client cert source for mutual TLS. - - The client cert source is determined in the following order: - (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the - client cert source is None. - (2) if `client_options.client_cert_source` is provided, use the provided one; if the - default client cert source exists, use the default one; otherwise the client cert - source is None. - - The API endpoint is determined in the following order: - (1) if `client_options.api_endpoint` if provided, use the provided one. - (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the - default mTLS endpoint; if the environment variabel is "never", use the default API - endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise - use the default API endpoint. - - More details can be found at https://google.aip.dev/auth/4114. - - Args: - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. Only the `api_endpoint` and `client_cert_source` properties may be used - in this method. - - Returns: - Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the - client cert source to use. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If any errors happen. - """ - if client_options is None: - client_options = client_options_lib.ClientOptions() - use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") - use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") - if use_client_cert not in ("true", "false"): - raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") - if use_mtls_endpoint not in ("auto", "never", "always"): - raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") - - # Figure out the client cert source to use. - client_cert_source = None - if use_client_cert == "true": - if client_options.client_cert_source: - client_cert_source = client_options.client_cert_source - elif mtls.has_default_client_cert_source(): - client_cert_source = mtls.default_client_cert_source() - - # Figure out which api endpoint to use. - if client_options.api_endpoint is not None: - api_endpoint = client_options.api_endpoint - elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): - api_endpoint = cls.DEFAULT_MTLS_ENDPOINT - else: - api_endpoint = cls.DEFAULT_ENDPOINT - - return api_endpoint, client_cert_source - - def __init__(self, *, - credentials: Optional[ga_credentials.Credentials] = None, - transport: Union[str, CloudMemcacheTransport, None] = None, - client_options: Optional[client_options_lib.ClientOptions] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - ) -> None: - """Instantiates the cloud memcache client. - - Args: - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - transport (Union[str, CloudMemcacheTransport]): The - transport to use. If set to None, a transport is chosen - automatically. - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. It won't take effect if a ``transport`` instance is provided. - (1) The ``api_endpoint`` property can be used to override the - default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT - environment variable can also be used to override the endpoint: - "always" (always use the default mTLS endpoint), "never" (always - use the default regular endpoint) and "auto" (auto switch to the - default mTLS endpoint if client certificate is present, this is - the default value). However, the ``api_endpoint`` property takes - precedence if provided. - (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable - is "true", then the ``client_cert_source`` property can be used - to provide client certificate for mutual TLS transport. If - not provided, the default SSL client certificate will be used if - present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not - set, no client certificate will be used. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport - creation failed for any reason. - """ - if isinstance(client_options, dict): - client_options = client_options_lib.from_dict(client_options) - if client_options is None: - client_options = client_options_lib.ClientOptions() - - api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(client_options) - - api_key_value = getattr(client_options, "api_key", None) - if api_key_value and credentials: - raise ValueError("client_options.api_key and credentials are mutually exclusive") - - # Save or instantiate the transport. - # Ordinarily, we provide the transport, but allowing a custom transport - # instance provides an extensibility point for unusual situations. - if isinstance(transport, CloudMemcacheTransport): - # transport is a CloudMemcacheTransport instance. - if credentials or client_options.credentials_file or api_key_value: - raise ValueError("When providing a transport instance, " - "provide its credentials directly.") - if client_options.scopes: - raise ValueError( - "When providing a transport instance, provide its scopes " - "directly." - ) - self._transport = transport - else: - import google.auth._default # type: ignore - - if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): - credentials = google.auth._default.get_api_key_credentials(api_key_value) - - Transport = type(self).get_transport_class(transport) - self._transport = Transport( - credentials=credentials, - credentials_file=client_options.credentials_file, - host=api_endpoint, - scopes=client_options.scopes, - client_cert_source_for_mtls=client_cert_source_func, - quota_project_id=client_options.quota_project_id, - client_info=client_info, - always_use_jwt_access=True, - api_audience=client_options.api_audience, - ) - - def list_instances(self, - request: Union[cloud_memcache.ListInstancesRequest, dict] = None, - *, - parent: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> pagers.ListInstancesPager: - r"""Lists Instances in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_list_instances(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - for response in page_result: - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]): - The request object. Request for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - parent (str): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesPager: - Response for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - - Iterating over this object will yield results and - resolve additional pages automatically. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.ListInstancesRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.ListInstancesRequest): - request = cloud_memcache.ListInstancesRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.list_instances] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # This method is paged; wrap the response in a pager, which provides - # an `__iter__` convenience method. - response = pagers.ListInstancesPager( - method=rpc, - request=request, - response=response, - metadata=metadata, - ) - - # Done; return the response. - return response - - def get_instance(self, - request: Union[cloud_memcache.GetInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> cloud_memcache.Instance: - r"""Gets details of a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_get_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = client.get_instance(request=request) - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]): - The request object. Request for - [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. - name (str): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1.types.Instance: - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.GetInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.GetInstanceRequest): - request = cloud_memcache.GetInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.get_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Done; return the response. - return response - - def create_instance(self, - request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, - *, - parent: str = None, - instance: cloud_memcache.Instance = None, - instance_id: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Creates a new Instance in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_create_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - instance=instance, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]): - The request object. Request for - [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. - parent (str): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance (google.cloud.memcache_v1.types.Instance): - Required. A Memcached Instance - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance_id (str): - Required. The logical name of the Memcached instance in - the user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location - - If any of the above are not met, will raise an invalid - argument error. - - This corresponds to the ``instance_id`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent, instance, instance_id]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.CreateInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.CreateInstanceRequest): - request = cloud_memcache.CreateInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - if instance is not None: - request.instance = instance - if instance_id is not None: - request.instance_id = instance_id - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.create_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def update_instance(self, - request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, - *, - instance: cloud_memcache.Instance = None, - update_mask: field_mask_pb2.FieldMask = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Updates an existing Instance in a given project and - location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_update_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.UpdateInstanceRequest( - instance=instance, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]): - The request object. Request for - [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. - instance (google.cloud.memcache_v1.types.Instance): - Required. A Memcached Instance. Only fields specified in - update_mask are updated. - - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - - - ``displayName`` - - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([instance, update_mask]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.UpdateInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.UpdateInstanceRequest): - request = cloud_memcache.UpdateInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if instance is not None: - request.instance = instance - if update_mask is not None: - request.update_mask = update_mask - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.update_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("instance.name", request.instance.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def update_parameters(self, - request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, - *, - name: str = None, - update_mask: field_mask_pb2.FieldMask = None, - parameters: cloud_memcache.MemcacheParameters = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Updates the defined Memcached Parameters for an - existing Instance. This method only stages the - parameters, it must be followed by ApplyParameters to - apply the parameters to nodes of the Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_update_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.UpdateParametersRequest, dict]): - The request object. Request for - [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. - name (str): - Required. Resource name of the - Memcached instance for which the - parameters should be updated. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - parameters (google.cloud.memcache_v1.types.MemcacheParameters): - The parameters to apply to the - instance. - - This corresponds to the ``parameters`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, update_mask, parameters]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.UpdateParametersRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.UpdateParametersRequest): - request = cloud_memcache.UpdateParametersRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if update_mask is not None: - request.update_mask = update_mask - if parameters is not None: - request.parameters = parameters - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.update_parameters] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def delete_instance(self, - request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Deletes a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_delete_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]): - The request object. Request for - [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. - name (str): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated - empty messages in your APIs. A typical example is to - use it as the request or the response type of an API - method. For instance: - - service Foo { - rpc Bar(google.protobuf.Empty) returns - (google.protobuf.Empty); - - } - - The JSON representation for Empty is empty JSON - object {}. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.DeleteInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.DeleteInstanceRequest): - request = cloud_memcache.DeleteInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.delete_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - empty_pb2.Empty, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def apply_parameters(self, - request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, - *, - name: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""ApplyParameters will restart the set of specified - nodes in order to update them to the current set of - parameters for the Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_apply_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.ApplyParametersRequest, dict]): - The request object. Request for - [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. - name (str): - Required. Resource name of the - Memcached instance for which parameter - group updates should be applied. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (Sequence[str]): - Nodes to which we should apply the - instance-level parameter group. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (bool): - Whether to apply instance-level - parameter group to all nodes. If set to - true, will explicitly restrict users - from specifying any nodes, and apply - parameter group updates to all nodes - within the instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.ApplyParametersRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.ApplyParametersRequest): - request = cloud_memcache.ApplyParametersRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if node_ids is not None: - request.node_ids = node_ids - if apply_all is not None: - request.apply_all = apply_all - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.apply_parameters] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def __enter__(self): - return self - - def __exit__(self, type, value, traceback): - """Releases underlying transport's resources. - - .. warning:: - ONLY use as a context manager if the transport is NOT shared - with other clients! Exiting the with block will CLOSE the transport - and may cause errors in other clients! - """ - self.transport.close() - - - - - - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - "google-cloud-memcache", - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -__all__ = ( - "CloudMemcacheClient", -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py deleted file mode 100644 index 72ba239..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py +++ /dev/null @@ -1,139 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator - -from google.cloud.memcache_v1.types import cloud_memcache - - -class ListInstancesPager: - """A pager for iterating through ``list_instances`` requests. - - This class thinly wraps an initial - :class:`google.cloud.memcache_v1.types.ListInstancesResponse` object, and - provides an ``__iter__`` method to iterate through its - ``instances`` field. - - If there are more pages, the ``__iter__`` method will make additional - ``ListInstances`` requests and continue to iterate - through the ``instances`` field on the - corresponding responses. - - All the usual :class:`google.cloud.memcache_v1.types.ListInstancesResponse` - attributes are available on the pager. If multiple requests are made, only - the most recent response is retained, and thus used for attribute lookup. - """ - def __init__(self, - method: Callable[..., cloud_memcache.ListInstancesResponse], - request: cloud_memcache.ListInstancesRequest, - response: cloud_memcache.ListInstancesResponse, - *, - metadata: Sequence[Tuple[str, str]] = ()): - """Instantiate the pager. - - Args: - method (Callable): The method that was originally called, and - which instantiated this pager. - request (google.cloud.memcache_v1.types.ListInstancesRequest): - The initial request object. - response (google.cloud.memcache_v1.types.ListInstancesResponse): - The initial response object. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - """ - self._method = method - self._request = cloud_memcache.ListInstancesRequest(request) - self._response = response - self._metadata = metadata - - def __getattr__(self, name: str) -> Any: - return getattr(self._response, name) - - @property - def pages(self) -> Iterator[cloud_memcache.ListInstancesResponse]: - yield self._response - while self._response.next_page_token: - self._request.page_token = self._response.next_page_token - self._response = self._method(self._request, metadata=self._metadata) - yield self._response - - def __iter__(self) -> Iterator[cloud_memcache.Instance]: - for page in self.pages: - yield from page.instances - - def __repr__(self) -> str: - return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) - - -class ListInstancesAsyncPager: - """A pager for iterating through ``list_instances`` requests. - - This class thinly wraps an initial - :class:`google.cloud.memcache_v1.types.ListInstancesResponse` object, and - provides an ``__aiter__`` method to iterate through its - ``instances`` field. - - If there are more pages, the ``__aiter__`` method will make additional - ``ListInstances`` requests and continue to iterate - through the ``instances`` field on the - corresponding responses. - - All the usual :class:`google.cloud.memcache_v1.types.ListInstancesResponse` - attributes are available on the pager. If multiple requests are made, only - the most recent response is retained, and thus used for attribute lookup. - """ - def __init__(self, - method: Callable[..., Awaitable[cloud_memcache.ListInstancesResponse]], - request: cloud_memcache.ListInstancesRequest, - response: cloud_memcache.ListInstancesResponse, - *, - metadata: Sequence[Tuple[str, str]] = ()): - """Instantiates the pager. - - Args: - method (Callable): The method that was originally called, and - which instantiated this pager. - request (google.cloud.memcache_v1.types.ListInstancesRequest): - The initial request object. - response (google.cloud.memcache_v1.types.ListInstancesResponse): - The initial response object. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - """ - self._method = method - self._request = cloud_memcache.ListInstancesRequest(request) - self._response = response - self._metadata = metadata - - def __getattr__(self, name: str) -> Any: - return getattr(self._response, name) - - @property - async def pages(self) -> AsyncIterator[cloud_memcache.ListInstancesResponse]: - yield self._response - while self._response.next_page_token: - self._request.page_token = self._response.next_page_token - self._response = await self._method(self._request, metadata=self._metadata) - yield self._response - def __aiter__(self) -> AsyncIterator[cloud_memcache.Instance]: - async def async_generator(): - async for page in self.pages: - for response in page.instances: - yield response - - return async_generator() - - def __repr__(self) -> str: - return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py deleted file mode 100644 index 6067238..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py +++ /dev/null @@ -1,33 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -from typing import Dict, Type - -from .base import CloudMemcacheTransport -from .grpc import CloudMemcacheGrpcTransport -from .grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport - - -# Compile a registry of transports. -_transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] -_transport_registry['grpc'] = CloudMemcacheGrpcTransport -_transport_registry['grpc_asyncio'] = CloudMemcacheGrpcAsyncIOTransport - -__all__ = ( - 'CloudMemcacheTransport', - 'CloudMemcacheGrpcTransport', - 'CloudMemcacheGrpcAsyncIOTransport', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py deleted file mode 100644 index 2d241a2..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py +++ /dev/null @@ -1,245 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import abc -from typing import Awaitable, Callable, Dict, Optional, Sequence, Union -import pkg_resources - -import google.auth # type: ignore -import google.api_core -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.api_core import operations_v1 -from google.auth import credentials as ga_credentials # type: ignore -from google.oauth2 import service_account # type: ignore - -from google.cloud.memcache_v1.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - 'google-cloud-memcache', - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -class CloudMemcacheTransport(abc.ABC): - """Abstract transport class for CloudMemcache.""" - - AUTH_SCOPES = ( - 'https://www.googleapis.com/auth/cloud-platform', - ) - - DEFAULT_HOST: str = 'memcache.googleapis.com' - def __init__( - self, *, - host: str = DEFAULT_HOST, - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - **kwargs, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is mutually exclusive with credentials. - scopes (Optional[Sequence[str]]): A list of scopes. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - """ - - scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} - - # Save the scopes. - self._scopes = scopes - - # If no credentials are provided, then determine the appropriate - # defaults. - if credentials and credentials_file: - raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") - - if credentials_file is not None: - credentials, _ = google.auth.load_credentials_from_file( - credentials_file, - **scopes_kwargs, - quota_project_id=quota_project_id - ) - elif credentials is None: - credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) - # Don't apply audience if the credentials file passed from user. - if hasattr(credentials, "with_gdch_audience"): - credentials = credentials.with_gdch_audience(api_audience if api_audience else host) - - # If the credentials are service account credentials, then always try to use self signed JWT. - if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): - credentials = credentials.with_always_use_jwt_access(True) - - # Save the credentials. - self._credentials = credentials - - # Save the hostname. Default to port 443 (HTTPS) if none is specified. - if ':' not in host: - host += ':443' - self._host = host - - def _prep_wrapped_messages(self, client_info): - # Precompute the wrapped methods. - self._wrapped_methods = { - self.list_instances: gapic_v1.method.wrap_method( - self.list_instances, - default_timeout=1200.0, - client_info=client_info, - ), - self.get_instance: gapic_v1.method.wrap_method( - self.get_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.create_instance: gapic_v1.method.wrap_method( - self.create_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.update_instance: gapic_v1.method.wrap_method( - self.update_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.update_parameters: gapic_v1.method.wrap_method( - self.update_parameters, - default_timeout=1200.0, - client_info=client_info, - ), - self.delete_instance: gapic_v1.method.wrap_method( - self.delete_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.apply_parameters: gapic_v1.method.wrap_method( - self.apply_parameters, - default_timeout=1200.0, - client_info=client_info, - ), - } - - def close(self): - """Closes resources associated with the transport. - - .. warning:: - Only call this method if the transport is NOT shared - with other clients - this may cause errors in other clients! - """ - raise NotImplementedError() - - @property - def operations_client(self): - """Return the client designed to process long-running operations.""" - raise NotImplementedError() - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - Union[ - cloud_memcache.ListInstancesResponse, - Awaitable[cloud_memcache.ListInstancesResponse] - ]]: - raise NotImplementedError() - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - Union[ - cloud_memcache.Instance, - Awaitable[cloud_memcache.Instance] - ]]: - raise NotImplementedError() - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def kind(self) -> str: - raise NotImplementedError() - - -__all__ = ( - 'CloudMemcacheTransport', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py deleted file mode 100644 index fc10b60..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py +++ /dev/null @@ -1,463 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import warnings -from typing import Callable, Dict, Optional, Sequence, Tuple, Union - -from google.api_core import grpc_helpers -from google.api_core import operations_v1 -from google.api_core import gapic_v1 -import google.auth # type: ignore -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore - -import grpc # type: ignore - -from google.cloud.memcache_v1.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore -from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO - - -class CloudMemcacheGrpcTransport(CloudMemcacheTransport): - """gRPC backend transport for CloudMemcache. - - Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - - This class defines the same methods as the primary client, so the - primary client can load the underlying transport implementation - and call it. - - It sends protocol buffers over the wire using gRPC (which is built on - top of HTTP/2); the ``grpcio`` package must be installed. - """ - _stubs: Dict[str, Callable] - - def __init__(self, *, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: str = None, - scopes: Sequence[str] = None, - channel: grpc.Channel = None, - api_mtls_endpoint: str = None, - client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, - ssl_channel_credentials: grpc.ChannelCredentials = None, - client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, - quota_project_id: Optional[str] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - This argument is ignored if ``channel`` is provided. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional(Sequence[str])): A list of scopes. This argument is - ignored if ``channel`` is provided. - channel (Optional[grpc.Channel]): A ``Channel`` instance through - which to make calls. - api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. - If provided, it overrides the ``host`` argument and tries to create - a mutual TLS channel with client SSL credentials from - ``client_cert_source`` or application default SSL credentials. - client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): - Deprecated. A callback to provide client SSL certificate bytes and - private key bytes, both in PEM format. It is ignored if - ``api_mtls_endpoint`` is None. - ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials - for the grpc channel. It is ignored if ``channel`` is provided. - client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): - A callback to provide client certificate bytes and private key bytes, - both in PEM format. It is used to configure a mutual TLS channel. It is - ignored if ``channel`` or ``ssl_channel_credentials`` is provided. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport - creation failed for any reason. - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - self._grpc_channel = None - self._ssl_channel_credentials = ssl_channel_credentials - self._stubs: Dict[str, Callable] = {} - self._operations_client: Optional[operations_v1.OperationsClient] = None - - if api_mtls_endpoint: - warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) - if client_cert_source: - warnings.warn("client_cert_source is deprecated", DeprecationWarning) - - if channel: - # Ignore credentials if a channel was passed. - credentials = False - # If a channel was explicitly provided, set it. - self._grpc_channel = channel - self._ssl_channel_credentials = None - - else: - if api_mtls_endpoint: - host = api_mtls_endpoint - - # Create SSL credentials with client_cert_source or application - # default SSL credentials. - if client_cert_source: - cert, key = client_cert_source() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - else: - self._ssl_channel_credentials = SslCredentials().ssl_credentials - - else: - if client_cert_source_for_mtls and not ssl_channel_credentials: - cert, key = client_cert_source_for_mtls() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - - # The base transport sets the host, credentials and scopes - super().__init__( - host=host, - credentials=credentials, - credentials_file=credentials_file, - scopes=scopes, - quota_project_id=quota_project_id, - client_info=client_info, - always_use_jwt_access=always_use_jwt_access, - api_audience=api_audience, - ) - - if not self._grpc_channel: - self._grpc_channel = type(self).create_channel( - self._host, - # use the credentials which are saved - credentials=self._credentials, - # Set ``credentials_file`` to ``None`` here as - # the credentials that we saved earlier should be used. - credentials_file=None, - scopes=self._scopes, - ssl_credentials=self._ssl_channel_credentials, - quota_project_id=quota_project_id, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Wrap messages. This must be done after self._grpc_channel exists - self._prep_wrapped_messages(client_info) - - @classmethod - def create_channel(cls, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: str = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - **kwargs) -> grpc.Channel: - """Create and return a gRPC channel object. - Args: - host (Optional[str]): The host for the channel to use. - credentials (Optional[~.Credentials]): The - authorization credentials to attach to requests. These - credentials identify this application to the service. If - none are specified, the client will attempt to ascertain - the credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is mutually exclusive with credentials. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - kwargs (Optional[dict]): Keyword arguments, which are passed to the - channel creation. - Returns: - grpc.Channel: A gRPC channel object. - - Raises: - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - - return grpc_helpers.create_channel( - host, - credentials=credentials, - credentials_file=credentials_file, - quota_project_id=quota_project_id, - default_scopes=cls.AUTH_SCOPES, - scopes=scopes, - default_host=cls.DEFAULT_HOST, - **kwargs - ) - - @property - def grpc_channel(self) -> grpc.Channel: - """Return the channel designed to connect to this service. - """ - return self._grpc_channel - - @property - def operations_client(self) -> operations_v1.OperationsClient: - """Create the client designed to process long-running operations. - - This property caches on the instance; repeated calls return the same - client. - """ - # Quick check: Only create a new client if we do not already have one. - if self._operations_client is None: - self._operations_client = operations_v1.OperationsClient( - self.grpc_channel - ) - - # Return the client from cache. - return self._operations_client - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - cloud_memcache.ListInstancesResponse]: - r"""Return a callable for the list instances method over gRPC. - - Lists Instances in a given location. - - Returns: - Callable[[~.ListInstancesRequest], - ~.ListInstancesResponse]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'list_instances' not in self._stubs: - self._stubs['list_instances'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/ListInstances', - request_serializer=cloud_memcache.ListInstancesRequest.serialize, - response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, - ) - return self._stubs['list_instances'] - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - cloud_memcache.Instance]: - r"""Return a callable for the get instance method over gRPC. - - Gets details of a single Instance. - - Returns: - Callable[[~.GetInstanceRequest], - ~.Instance]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'get_instance' not in self._stubs: - self._stubs['get_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/GetInstance', - request_serializer=cloud_memcache.GetInstanceRequest.serialize, - response_deserializer=cloud_memcache.Instance.deserialize, - ) - return self._stubs['get_instance'] - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the create instance method over gRPC. - - Creates a new Instance in a given location. - - Returns: - Callable[[~.CreateInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'create_instance' not in self._stubs: - self._stubs['create_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/CreateInstance', - request_serializer=cloud_memcache.CreateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['create_instance'] - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the update instance method over gRPC. - - Updates an existing Instance in a given project and - location. - - Returns: - Callable[[~.UpdateInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_instance' not in self._stubs: - self._stubs['update_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/UpdateInstance', - request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_instance'] - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - operations_pb2.Operation]: - r"""Return a callable for the update parameters method over gRPC. - - Updates the defined Memcached Parameters for an - existing Instance. This method only stages the - parameters, it must be followed by ApplyParameters to - apply the parameters to nodes of the Memcached Instance. - - Returns: - Callable[[~.UpdateParametersRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_parameters' not in self._stubs: - self._stubs['update_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/UpdateParameters', - request_serializer=cloud_memcache.UpdateParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_parameters'] - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the delete instance method over gRPC. - - Deletes a single Instance. - - Returns: - Callable[[~.DeleteInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'delete_instance' not in self._stubs: - self._stubs['delete_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/DeleteInstance', - request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['delete_instance'] - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - operations_pb2.Operation]: - r"""Return a callable for the apply parameters method over gRPC. - - ApplyParameters will restart the set of specified - nodes in order to update them to the current set of - parameters for the Memcached Instance. - - Returns: - Callable[[~.ApplyParametersRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_parameters' not in self._stubs: - self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/ApplyParameters', - request_serializer=cloud_memcache.ApplyParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_parameters'] - - def close(self): - self.grpc_channel.close() - - @property - def kind(self) -> str: - return "grpc" - - -__all__ = ( - 'CloudMemcacheGrpcTransport', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py deleted file mode 100644 index fb5e898..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py +++ /dev/null @@ -1,462 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import warnings -from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union - -from google.api_core import gapic_v1 -from google.api_core import grpc_helpers_async -from google.api_core import operations_v1 -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore - -import grpc # type: ignore -from grpc.experimental import aio # type: ignore - -from google.cloud.memcache_v1.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore -from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .grpc import CloudMemcacheGrpcTransport - - -class CloudMemcacheGrpcAsyncIOTransport(CloudMemcacheTransport): - """gRPC AsyncIO backend transport for CloudMemcache. - - Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - - This class defines the same methods as the primary client, so the - primary client can load the underlying transport implementation - and call it. - - It sends protocol buffers over the wire using gRPC (which is built on - top of HTTP/2); the ``grpcio`` package must be installed. - """ - - _grpc_channel: aio.Channel - _stubs: Dict[str, Callable] = {} - - @classmethod - def create_channel(cls, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - **kwargs) -> aio.Channel: - """Create and return a gRPC AsyncIO channel object. - Args: - host (Optional[str]): The host for the channel to use. - credentials (Optional[~.Credentials]): The - authorization credentials to attach to requests. These - credentials identify this application to the service. If - none are specified, the client will attempt to ascertain - the credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - kwargs (Optional[dict]): Keyword arguments, which are passed to the - channel creation. - Returns: - aio.Channel: A gRPC AsyncIO channel object. - """ - - return grpc_helpers_async.create_channel( - host, - credentials=credentials, - credentials_file=credentials_file, - quota_project_id=quota_project_id, - default_scopes=cls.AUTH_SCOPES, - scopes=scopes, - default_host=cls.DEFAULT_HOST, - **kwargs - ) - - def __init__(self, *, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - channel: aio.Channel = None, - api_mtls_endpoint: str = None, - client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, - ssl_channel_credentials: grpc.ChannelCredentials = None, - client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, - quota_project_id=None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - This argument is ignored if ``channel`` is provided. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - channel (Optional[aio.Channel]): A ``Channel`` instance through - which to make calls. - api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. - If provided, it overrides the ``host`` argument and tries to create - a mutual TLS channel with client SSL credentials from - ``client_cert_source`` or application default SSL credentials. - client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): - Deprecated. A callback to provide client SSL certificate bytes and - private key bytes, both in PEM format. It is ignored if - ``api_mtls_endpoint`` is None. - ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials - for the grpc channel. It is ignored if ``channel`` is provided. - client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): - A callback to provide client certificate bytes and private key bytes, - both in PEM format. It is used to configure a mutual TLS channel. It is - ignored if ``channel`` or ``ssl_channel_credentials`` is provided. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - - Raises: - google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport - creation failed for any reason. - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - self._grpc_channel = None - self._ssl_channel_credentials = ssl_channel_credentials - self._stubs: Dict[str, Callable] = {} - self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None - - if api_mtls_endpoint: - warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) - if client_cert_source: - warnings.warn("client_cert_source is deprecated", DeprecationWarning) - - if channel: - # Ignore credentials if a channel was passed. - credentials = False - # If a channel was explicitly provided, set it. - self._grpc_channel = channel - self._ssl_channel_credentials = None - else: - if api_mtls_endpoint: - host = api_mtls_endpoint - - # Create SSL credentials with client_cert_source or application - # default SSL credentials. - if client_cert_source: - cert, key = client_cert_source() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - else: - self._ssl_channel_credentials = SslCredentials().ssl_credentials - - else: - if client_cert_source_for_mtls and not ssl_channel_credentials: - cert, key = client_cert_source_for_mtls() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - - # The base transport sets the host, credentials and scopes - super().__init__( - host=host, - credentials=credentials, - credentials_file=credentials_file, - scopes=scopes, - quota_project_id=quota_project_id, - client_info=client_info, - always_use_jwt_access=always_use_jwt_access, - api_audience=api_audience, - ) - - if not self._grpc_channel: - self._grpc_channel = type(self).create_channel( - self._host, - # use the credentials which are saved - credentials=self._credentials, - # Set ``credentials_file`` to ``None`` here as - # the credentials that we saved earlier should be used. - credentials_file=None, - scopes=self._scopes, - ssl_credentials=self._ssl_channel_credentials, - quota_project_id=quota_project_id, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Wrap messages. This must be done after self._grpc_channel exists - self._prep_wrapped_messages(client_info) - - @property - def grpc_channel(self) -> aio.Channel: - """Create the channel designed to connect to this service. - - This property caches on the instance; repeated calls return - the same channel. - """ - # Return the channel from cache. - return self._grpc_channel - - @property - def operations_client(self) -> operations_v1.OperationsAsyncClient: - """Create the client designed to process long-running operations. - - This property caches on the instance; repeated calls return the same - client. - """ - # Quick check: Only create a new client if we do not already have one. - if self._operations_client is None: - self._operations_client = operations_v1.OperationsAsyncClient( - self.grpc_channel - ) - - # Return the client from cache. - return self._operations_client - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - Awaitable[cloud_memcache.ListInstancesResponse]]: - r"""Return a callable for the list instances method over gRPC. - - Lists Instances in a given location. - - Returns: - Callable[[~.ListInstancesRequest], - Awaitable[~.ListInstancesResponse]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'list_instances' not in self._stubs: - self._stubs['list_instances'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/ListInstances', - request_serializer=cloud_memcache.ListInstancesRequest.serialize, - response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, - ) - return self._stubs['list_instances'] - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - Awaitable[cloud_memcache.Instance]]: - r"""Return a callable for the get instance method over gRPC. - - Gets details of a single Instance. - - Returns: - Callable[[~.GetInstanceRequest], - Awaitable[~.Instance]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'get_instance' not in self._stubs: - self._stubs['get_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/GetInstance', - request_serializer=cloud_memcache.GetInstanceRequest.serialize, - response_deserializer=cloud_memcache.Instance.deserialize, - ) - return self._stubs['get_instance'] - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the create instance method over gRPC. - - Creates a new Instance in a given location. - - Returns: - Callable[[~.CreateInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'create_instance' not in self._stubs: - self._stubs['create_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/CreateInstance', - request_serializer=cloud_memcache.CreateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['create_instance'] - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the update instance method over gRPC. - - Updates an existing Instance in a given project and - location. - - Returns: - Callable[[~.UpdateInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_instance' not in self._stubs: - self._stubs['update_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/UpdateInstance', - request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_instance'] - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the update parameters method over gRPC. - - Updates the defined Memcached Parameters for an - existing Instance. This method only stages the - parameters, it must be followed by ApplyParameters to - apply the parameters to nodes of the Memcached Instance. - - Returns: - Callable[[~.UpdateParametersRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_parameters' not in self._stubs: - self._stubs['update_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/UpdateParameters', - request_serializer=cloud_memcache.UpdateParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_parameters'] - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the delete instance method over gRPC. - - Deletes a single Instance. - - Returns: - Callable[[~.DeleteInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'delete_instance' not in self._stubs: - self._stubs['delete_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/DeleteInstance', - request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['delete_instance'] - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the apply parameters method over gRPC. - - ApplyParameters will restart the set of specified - nodes in order to update them to the current set of - parameters for the Memcached Instance. - - Returns: - Callable[[~.ApplyParametersRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_parameters' not in self._stubs: - self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/ApplyParameters', - request_serializer=cloud_memcache.ApplyParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_parameters'] - - def close(self): - return self.grpc_channel.close() - - -__all__ = ( - 'CloudMemcacheGrpcAsyncIOTransport', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py deleted file mode 100644 index 32b3497..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py +++ /dev/null @@ -1,44 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from .cloud_memcache import ( - ApplyParametersRequest, - CreateInstanceRequest, - DeleteInstanceRequest, - GetInstanceRequest, - Instance, - ListInstancesRequest, - ListInstancesResponse, - MemcacheParameters, - OperationMetadata, - UpdateInstanceRequest, - UpdateParametersRequest, - MemcacheVersion, -) - -__all__ = ( - 'ApplyParametersRequest', - 'CreateInstanceRequest', - 'DeleteInstanceRequest', - 'GetInstanceRequest', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'MemcacheParameters', - 'OperationMetadata', - 'UpdateInstanceRequest', - 'UpdateParametersRequest', - 'MemcacheVersion', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py b/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py deleted file mode 100644 index f575bf7..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py +++ /dev/null @@ -1,656 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import proto # type: ignore - -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore - - -__protobuf__ = proto.module( - package='google.cloud.memcache.v1', - manifest={ - 'MemcacheVersion', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'GetInstanceRequest', - 'CreateInstanceRequest', - 'UpdateInstanceRequest', - 'DeleteInstanceRequest', - 'ApplyParametersRequest', - 'UpdateParametersRequest', - 'MemcacheParameters', - 'OperationMetadata', - }, -) - - -class MemcacheVersion(proto.Enum): - r"""Memcached versions supported by our service.""" - MEMCACHE_VERSION_UNSPECIFIED = 0 - MEMCACHE_1_5 = 1 - - -class Instance(proto.Message): - r""" - - Attributes: - name (str): - Required. Unique name of the resource in this scope - including project and location using the form: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note: Memcached instances are managed and addressed at - regional level so location_id here refers to a GCP region; - however, users may choose which zones Memcached nodes within - an instances should be provisioned in. Refer to [zones] - field for more details. - display_name (str): - User provided name for the instance only used - for display purposes. Cannot be more than 80 - characters. - labels (Mapping[str, str]): - Resource labels to represent user-provided - metadata. Refer to cloud documentation on labels - for more details. - https://cloud.google.com/compute/docs/labeling-resources - authorized_network (str): - The full name of the Google Compute Engine - `network `__ - to which the instance is connected. If left unspecified, the - ``default`` network will be used. - zones (Sequence[str]): - Zones where Memcached nodes should be - provisioned in. Memcached nodes will be equally - distributed across these zones. If not provided, - the service will by default create nodes in all - zones in the region for the instance. - node_count (int): - Required. Number of nodes in the Memcached - instance. - node_config (google.cloud.memcache_v1.types.Instance.NodeConfig): - Required. Configuration for Memcached nodes. - memcache_version (google.cloud.memcache_v1.types.MemcacheVersion): - The major version of Memcached software. If not provided, - latest supported version will be used. Currently the latest - supported major version is MEMCACHE_1_5. The minor version - will be automatically determined by our system based on the - latest supported minor version. - parameters (google.cloud.memcache_v1.types.MemcacheParameters): - Optional: User defined parameters to apply to - the memcached process on each node. - memcache_nodes (Sequence[google.cloud.memcache_v1.types.Instance.Node]): - Output only. List of Memcached nodes. Refer to [Node] - message for more details. - create_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. The time the instance was - created. - update_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. The time the instance was - updated. - state (google.cloud.memcache_v1.types.Instance.State): - Output only. The state of this Memcached - instance. - memcache_full_version (str): - Output only. The full version of memcached - server running on this instance. System - automatically determines the full memcached - version for an instance based on the input - MemcacheVersion. - The full version format will be - "memcached-1.5.16". - instance_messages (Sequence[google.cloud.memcache_v1.types.Instance.InstanceMessage]): - List of messages that describe current - statuses of memcached instance. - discovery_endpoint (str): - Output only. Endpoint for Discovery API - """ - class State(proto.Enum): - r"""Different states of a Memcached instance.""" - STATE_UNSPECIFIED = 0 - CREATING = 1 - READY = 2 - DELETING = 4 - PERFORMING_MAINTENANCE = 5 - - class NodeConfig(proto.Message): - r"""Configuration for a Memcached Node. - - Attributes: - cpu_count (int): - Required. Number of cpus per Memcached node. - memory_size_mb (int): - Required. Memory size in MiB for each - Memcached node. - """ - - cpu_count = proto.Field( - proto.INT32, - number=1, - ) - memory_size_mb = proto.Field( - proto.INT32, - number=2, - ) - - class Node(proto.Message): - r""" - - Attributes: - node_id (str): - Output only. Identifier of the Memcached - node. The node id does not include project or - location like the Memcached instance name. - zone (str): - Output only. Location (GCP Zone) for the - Memcached node. - state (google.cloud.memcache_v1.types.Instance.Node.State): - Output only. Current state of the Memcached - node. - host (str): - Output only. Hostname or IP address of the - Memcached node used by the clients to connect to - the Memcached server on this node. - port (int): - Output only. The port number of the Memcached - server on this node. - parameters (google.cloud.memcache_v1.types.MemcacheParameters): - User defined parameters currently applied to - the node. - """ - class State(proto.Enum): - r"""Different states of a Memcached node.""" - STATE_UNSPECIFIED = 0 - CREATING = 1 - READY = 2 - DELETING = 3 - UPDATING = 4 - - node_id = proto.Field( - proto.STRING, - number=1, - ) - zone = proto.Field( - proto.STRING, - number=2, - ) - state = proto.Field( - proto.ENUM, - number=3, - enum='Instance.Node.State', - ) - host = proto.Field( - proto.STRING, - number=4, - ) - port = proto.Field( - proto.INT32, - number=5, - ) - parameters = proto.Field( - proto.MESSAGE, - number=6, - message='MemcacheParameters', - ) - - class InstanceMessage(proto.Message): - r""" - - Attributes: - code (google.cloud.memcache_v1.types.Instance.InstanceMessage.Code): - A code that correspond to one type of - user-facing message. - message (str): - Message on memcached instance which will be - exposed to users. - """ - class Code(proto.Enum): - r"""""" - CODE_UNSPECIFIED = 0 - ZONE_DISTRIBUTION_UNBALANCED = 1 - - code = proto.Field( - proto.ENUM, - number=1, - enum='Instance.InstanceMessage.Code', - ) - message = proto.Field( - proto.STRING, - number=2, - ) - - name = proto.Field( - proto.STRING, - number=1, - ) - display_name = proto.Field( - proto.STRING, - number=2, - ) - labels = proto.MapField( - proto.STRING, - proto.STRING, - number=3, - ) - authorized_network = proto.Field( - proto.STRING, - number=4, - ) - zones = proto.RepeatedField( - proto.STRING, - number=5, - ) - node_count = proto.Field( - proto.INT32, - number=6, - ) - node_config = proto.Field( - proto.MESSAGE, - number=7, - message=NodeConfig, - ) - memcache_version = proto.Field( - proto.ENUM, - number=9, - enum='MemcacheVersion', - ) - parameters = proto.Field( - proto.MESSAGE, - number=11, - message='MemcacheParameters', - ) - memcache_nodes = proto.RepeatedField( - proto.MESSAGE, - number=12, - message=Node, - ) - create_time = proto.Field( - proto.MESSAGE, - number=13, - message=timestamp_pb2.Timestamp, - ) - update_time = proto.Field( - proto.MESSAGE, - number=14, - message=timestamp_pb2.Timestamp, - ) - state = proto.Field( - proto.ENUM, - number=15, - enum=State, - ) - memcache_full_version = proto.Field( - proto.STRING, - number=18, - ) - instance_messages = proto.RepeatedField( - proto.MESSAGE, - number=19, - message=InstanceMessage, - ) - discovery_endpoint = proto.Field( - proto.STRING, - number=20, - ) - - -class ListInstancesRequest(proto.Message): - r"""Request for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - - Attributes: - parent (str): - Required. The resource name of the instance location using - the form: ``projects/{project_id}/locations/{location_id}`` - where ``location_id`` refers to a GCP region - page_size (int): - The maximum number of items to return. - - If not specified, a default value of 1000 will be used by - the service. Regardless of the page_size value, the response - may include a partial list and a caller should only rely on - response's - [next_page_token][CloudMemcache.ListInstancesResponse.next_page_token] - to determine if there are more instances left to be queried. - page_token (str): - The next_page_token value returned from a previous List - request, if any. - filter (str): - List filter. For example, exclude all - Memcached instances with name as my-instance by - specifying "name != my-instance". - order_by (str): - Sort results. Supported values are "name", - "name desc" or "" (unsorted). - """ - - parent = proto.Field( - proto.STRING, - number=1, - ) - page_size = proto.Field( - proto.INT32, - number=2, - ) - page_token = proto.Field( - proto.STRING, - number=3, - ) - filter = proto.Field( - proto.STRING, - number=4, - ) - order_by = proto.Field( - proto.STRING, - number=5, - ) - - -class ListInstancesResponse(proto.Message): - r"""Response for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - - Attributes: - instances (Sequence[google.cloud.memcache_v1.types.Instance]): - A list of Memcached instances in the project in the - specified location, or across all locations. - - If the ``location_id`` in the parent field of the request is - "-", all regions available to the project are queried, and - the results aggregated. - next_page_token (str): - Token to retrieve the next page of results, - or empty if there are no more results in the - list. - unreachable (Sequence[str]): - Locations that could not be reached. - """ - - @property - def raw_page(self): - return self - - instances = proto.RepeatedField( - proto.MESSAGE, - number=1, - message='Instance', - ) - next_page_token = proto.Field( - proto.STRING, - number=2, - ) - unreachable = proto.RepeatedField( - proto.STRING, - number=3, - ) - - -class GetInstanceRequest(proto.Message): - r"""Request for - [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. - - Attributes: - name (str): - Required. Memcached instance resource name in the format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - - -class CreateInstanceRequest(proto.Message): - r"""Request for - [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. - - Attributes: - parent (str): - Required. The resource name of the instance location using - the form: ``projects/{project_id}/locations/{location_id}`` - where ``location_id`` refers to a GCP region - instance_id (str): - Required. The logical name of the Memcached instance in the - user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location - - If any of the above are not met, will raise an invalid - argument error. - instance (google.cloud.memcache_v1.types.Instance): - Required. A Memcached Instance - """ - - parent = proto.Field( - proto.STRING, - number=1, - ) - instance_id = proto.Field( - proto.STRING, - number=2, - ) - instance = proto.Field( - proto.MESSAGE, - number=3, - message='Instance', - ) - - -class UpdateInstanceRequest(proto.Message): - r"""Request for - [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. - - Attributes: - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - - - ``displayName`` - instance (google.cloud.memcache_v1.types.Instance): - Required. A Memcached Instance. Only fields specified in - update_mask are updated. - """ - - update_mask = proto.Field( - proto.MESSAGE, - number=1, - message=field_mask_pb2.FieldMask, - ) - instance = proto.Field( - proto.MESSAGE, - number=2, - message='Instance', - ) - - -class DeleteInstanceRequest(proto.Message): - r"""Request for - [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. - - Attributes: - name (str): - Required. Memcached instance resource name in the format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - - -class ApplyParametersRequest(proto.Message): - r"""Request for - [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. - - Attributes: - name (str): - Required. Resource name of the Memcached - instance for which parameter group updates - should be applied. - node_ids (Sequence[str]): - Nodes to which we should apply the - instance-level parameter group. - apply_all (bool): - Whether to apply instance-level parameter - group to all nodes. If set to true, will - explicitly restrict users from specifying any - nodes, and apply parameter group updates to all - nodes within the instance. - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - node_ids = proto.RepeatedField( - proto.STRING, - number=2, - ) - apply_all = proto.Field( - proto.BOOL, - number=3, - ) - - -class UpdateParametersRequest(proto.Message): - r"""Request for - [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. - - Attributes: - name (str): - Required. Resource name of the Memcached - instance for which the parameters should be - updated. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - parameters (google.cloud.memcache_v1.types.MemcacheParameters): - The parameters to apply to the instance. - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - update_mask = proto.Field( - proto.MESSAGE, - number=2, - message=field_mask_pb2.FieldMask, - ) - parameters = proto.Field( - proto.MESSAGE, - number=3, - message='MemcacheParameters', - ) - - -class MemcacheParameters(proto.Message): - r""" - - Attributes: - id (str): - Output only. The unique ID associated with - this set of parameters. Users can use this id to - determine if the parameters associated with the - instance differ from the parameters associated - with the nodes and any action needs to be taken - to apply parameters on nodes. - params (Mapping[str, str]): - User defined set of parameters to use in the - memcached process. - """ - - id = proto.Field( - proto.STRING, - number=1, - ) - params = proto.MapField( - proto.STRING, - proto.STRING, - number=3, - ) - - -class OperationMetadata(proto.Message): - r"""Represents the metadata of a long-running operation. - - Attributes: - create_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. Time when the operation was - created. - end_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. Time when the operation finished - running. - target (str): - Output only. Server-defined resource path for - the target of the operation. - verb (str): - Output only. Name of the verb executed by the - operation. - status_detail (str): - Output only. Human-readable status of the - operation, if any. - cancel_requested (bool): - Output only. Identifies whether the user has requested - cancellation of the operation. Operations that have - successfully been cancelled have [Operation.error][] value - with a [google.rpc.Status.code][google.rpc.Status.code] of - 1, corresponding to ``Code.CANCELLED``. - api_version (str): - Output only. API version used to start the - operation. - """ - - create_time = proto.Field( - proto.MESSAGE, - number=1, - message=timestamp_pb2.Timestamp, - ) - end_time = proto.Field( - proto.MESSAGE, - number=2, - message=timestamp_pb2.Timestamp, - ) - target = proto.Field( - proto.STRING, - number=3, - ) - verb = proto.Field( - proto.STRING, - number=4, - ) - status_detail = proto.Field( - proto.STRING, - number=5, - ) - cancel_requested = proto.Field( - proto.BOOL, - number=6, - ) - api_version = proto.Field( - proto.STRING, - number=7, - ) - - -__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/v1/mypy.ini b/owl-bot-staging/v1/mypy.ini deleted file mode 100644 index 4505b48..0000000 --- a/owl-bot-staging/v1/mypy.ini +++ /dev/null @@ -1,3 +0,0 @@ -[mypy] -python_version = 3.6 -namespace_packages = True diff --git a/owl-bot-staging/v1/noxfile.py b/owl-bot-staging/v1/noxfile.py deleted file mode 100644 index 6092e7d..0000000 --- a/owl-bot-staging/v1/noxfile.py +++ /dev/null @@ -1,180 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import os -import pathlib -import shutil -import subprocess -import sys - - -import nox # type: ignore - -ALL_PYTHON = [ - "3.6", - "3.7", - "3.8", - "3.9", - "3.10", -] - -CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() - -LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" -PACKAGE_NAME = subprocess.check_output([sys.executable, "setup.py", "--name"], encoding="utf-8") - -BLACK_VERSION = "black==19.10b0" -BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] -DEFAULT_PYTHON_VERSION = "3.9" - -nox.sessions = [ - "unit", - "cover", - "mypy", - "check_lower_bounds" - # exclude update_lower_bounds from default - "docs", - "blacken", - "lint", - "lint_setup_py", -] - -@nox.session(python=ALL_PYTHON) -def unit(session): - """Run the unit test suite.""" - - session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') - session.install('-e', '.') - - session.run( - 'py.test', - '--quiet', - '--cov=google/cloud/memcache_v1/', - '--cov=tests/', - '--cov-config=.coveragerc', - '--cov-report=term', - '--cov-report=html', - os.path.join('tests', 'unit', ''.join(session.posargs)) - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def cover(session): - """Run the final coverage report. - This outputs the coverage report aggregating coverage from the unit - test runs (not system test runs), and then erases coverage data. - """ - session.install("coverage", "pytest-cov") - session.run("coverage", "report", "--show-missing", "--fail-under=100") - - session.run("coverage", "erase") - - -@nox.session(python=ALL_PYTHON) -def mypy(session): - """Run the type checker.""" - session.install('mypy', 'types-pkg_resources') - session.install('.') - session.run( - 'mypy', - '--explicit-package-bases', - 'google', - ) - - -@nox.session -def update_lower_bounds(session): - """Update lower bounds in constraints.txt to match setup.py""" - session.install('google-cloud-testutils') - session.install('.') - - session.run( - 'lower-bound-checker', - 'update', - '--package-name', - PACKAGE_NAME, - '--constraints-file', - str(LOWER_BOUND_CONSTRAINTS_FILE), - ) - - -@nox.session -def check_lower_bounds(session): - """Check lower bounds in setup.py are reflected in constraints file""" - session.install('google-cloud-testutils') - session.install('.') - - session.run( - 'lower-bound-checker', - 'check', - '--package-name', - PACKAGE_NAME, - '--constraints-file', - str(LOWER_BOUND_CONSTRAINTS_FILE), - ) - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def docs(session): - """Build the docs for this library.""" - - session.install("-e", ".") - session.install("sphinx==4.0.1", "alabaster", "recommonmark") - - shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) - session.run( - "sphinx-build", - "-W", # warnings as errors - "-T", # show full traceback on exception - "-N", # no colors - "-b", - "html", - "-d", - os.path.join("docs", "_build", "doctrees", ""), - os.path.join("docs", ""), - os.path.join("docs", "_build", "html", ""), - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def lint(session): - """Run linters. - - Returns a failure if the linters find linting errors or sufficiently - serious code quality issues. - """ - session.install("flake8", BLACK_VERSION) - session.run( - "black", - "--check", - *BLACK_PATHS, - ) - session.run("flake8", "google", "tests", "samples") - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def blacken(session): - """Run black. Format code to uniform standard.""" - session.install(BLACK_VERSION) - session.run( - "black", - *BLACK_PATHS, - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def lint_setup_py(session): - """Verify that setup.py is valid (including RST check).""" - session.install("docutils", "pygments") - session.run("python", "setup.py", "check", "--restructuredtext", "--strict") diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py deleted file mode 100644 index dccf400..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplyParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_ApplyParameters_async] -from google.cloud import memcache_v1 - - -async def sample_apply_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_ApplyParameters_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py deleted file mode 100644 index f6a6bd9..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplyParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_ApplyParameters_sync] -from google.cloud import memcache_v1 - - -def sample_apply_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_ApplyParameters_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py deleted file mode 100644 index 44f2f0b..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py +++ /dev/null @@ -1,57 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for CreateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_CreateInstance_async] -from google.cloud import memcache_v1 - - -async def sample_create_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - instance=instance, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_CreateInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py deleted file mode 100644 index 3be4489..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py +++ /dev/null @@ -1,57 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for CreateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_CreateInstance_sync] -from google.cloud import memcache_v1 - - -def sample_create_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - instance=instance, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_CreateInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py deleted file mode 100644 index 754d26f..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for DeleteInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_DeleteInstance_async] -from google.cloud import memcache_v1 - - -async def sample_delete_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_DeleteInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py deleted file mode 100644 index 767510e..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for DeleteInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_DeleteInstance_sync] -from google.cloud import memcache_v1 - - -def sample_delete_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_DeleteInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py deleted file mode 100644 index f562215..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py +++ /dev/null @@ -1,45 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for GetInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_GetInstance_async] -from google.cloud import memcache_v1 - - -async def sample_get_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = await client.get_instance(request=request) - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_GetInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py deleted file mode 100644 index c470181..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py +++ /dev/null @@ -1,45 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for GetInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_GetInstance_sync] -from google.cloud import memcache_v1 - - -def sample_get_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = client.get_instance(request=request) - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_GetInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py deleted file mode 100644 index 7516120..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py +++ /dev/null @@ -1,46 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ListInstances -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_ListInstances_async] -from google.cloud import memcache_v1 - - -async def sample_list_instances(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - async for response in page_result: - print(response) - -# [END memcache_v1_generated_CloudMemcache_ListInstances_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py deleted file mode 100644 index c5ee139..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py +++ /dev/null @@ -1,46 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ListInstances -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_ListInstances_sync] -from google.cloud import memcache_v1 - - -def sample_list_instances(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - for response in page_result: - print(response) - -# [END memcache_v1_generated_CloudMemcache_ListInstances_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py deleted file mode 100644 index e078aeb..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py +++ /dev/null @@ -1,55 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_UpdateInstance_async] -from google.cloud import memcache_v1 - - -async def sample_update_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.UpdateInstanceRequest( - instance=instance, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_UpdateInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py deleted file mode 100644 index 711c064..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py +++ /dev/null @@ -1,55 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_UpdateInstance_sync] -from google.cloud import memcache_v1 - - -def sample_update_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.UpdateInstanceRequest( - instance=instance, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_UpdateInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py deleted file mode 100644 index 9020743..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_UpdateParameters_async] -from google.cloud import memcache_v1 - - -async def sample_update_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_UpdateParameters_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py deleted file mode 100644 index 4044531..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_UpdateParameters_sync] -from google.cloud import memcache_v1 - - -def sample_update_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_UpdateParameters_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/snippet_metadata_memcache_v1.json b/owl-bot-staging/v1/samples/generated_samples/snippet_metadata_memcache_v1.json deleted file mode 100644 index 754496a..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/snippet_metadata_memcache_v1.json +++ /dev/null @@ -1,1197 +0,0 @@ -{ - "clientLibrary": { - "apis": [ - { - "id": "google.cloud.memcache.v1", - "version": "v1" - } - ], - "language": "PYTHON", - "name": "google-cloud-memcache" - }, - "snippets": [ - { - "canonical": true, - "clientMethod": { - "async": true, - "client": { - "fullName": "google.cloud.memcache_v1.CloudMemcacheAsyncClient", - "shortName": "CloudMemcacheAsyncClient" - }, - "fullName": "google.cloud.memcache_v1.CloudMemcacheAsyncClient.apply_parameters", - "method": { - "fullName": "google.cloud.memcache.v1.CloudMemcache.ApplyParameters", - "service": { - "fullName": "google.cloud.memcache.v1.CloudMemcache", - "shortName": "CloudMemcache" - }, - "shortName": "ApplyParameters" - }, - "parameters": [ - { - "name": "request", - "type": "google.cloud.memcache_v1.types.ApplyParametersRequest" - }, - { - "name": "name", - "type": "str" - }, - { - "name": "node_ids", - "type": "Sequence[str]" - }, - { - "name": "apply_all", - "type": "bool" - }, - { - "name": "retry", - "type": "google.api_core.retry.Retry" - 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}, - { - "end": 45, - "start": 39, - "type": "REQUEST_EXECUTION" - }, - { - "end": 49, - "start": 46, - "type": "RESPONSE_HANDLING" - } - ], - "title": "memcache_v1_generated_cloud_memcache_update_parameters_sync.py" - } - ] -} diff --git a/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py b/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py deleted file mode 100644 index 84308d4..0000000 --- a/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py +++ /dev/null @@ -1,182 +0,0 @@ -#! /usr/bin/env python3 -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import argparse -import os -import libcst as cst -import pathlib -import sys -from typing import (Any, Callable, Dict, List, Sequence, Tuple) - - -def partition( - predicate: Callable[[Any], bool], - iterator: Sequence[Any] -) -> Tuple[List[Any], List[Any]]: - """A stable, out-of-place partition.""" - results = ([], []) - - for i in iterator: - results[int(predicate(i))].append(i) - - # Returns trueList, falseList - return results[1], results[0] - - -class memcacheCallTransformer(cst.CSTTransformer): - CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') - METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { - 'apply_parameters': ('name', 'node_ids', 'apply_all', ), - 'create_instance': ('parent', 'instance_id', 'instance', ), - 'delete_instance': ('name', ), - 'get_instance': ('name', ), - 'list_instances': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ), - 'update_instance': ('update_mask', 'instance', ), - 'update_parameters': ('name', 'update_mask', 'parameters', ), - } - - def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: - try: - key = original.func.attr.value - kword_params = self.METHOD_TO_PARAMS[key] - except (AttributeError, KeyError): - # Either not a method from the API or too convoluted to be sure. - return updated - - # If the existing code is valid, keyword args come after positional args. - # Therefore, all positional args must map to the first parameters. - args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) - if any(k.keyword.value == "request" for k in kwargs): - # We've already fixed this file, don't fix it again. - return updated - - kwargs, ctrl_kwargs = partition( - lambda a: a.keyword.value not in self.CTRL_PARAMS, - kwargs - ) - - args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] - ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) - for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) - - request_arg = cst.Arg( - value=cst.Dict([ - cst.DictElement( - cst.SimpleString("'{}'".format(name)), -cst.Element(value=arg.value) - ) - # Note: the args + kwargs looks silly, but keep in mind that - # the control parameters had to be stripped out, and that - # those could have been passed positionally or by keyword. - for name, arg in zip(kword_params, args + kwargs)]), - keyword=cst.Name("request") - ) - - return updated.with_changes( - args=[request_arg] + ctrl_kwargs - ) - - -def fix_files( - in_dir: pathlib.Path, - out_dir: pathlib.Path, - *, - transformer=memcacheCallTransformer(), -): - """Duplicate the input dir to the output dir, fixing file method calls. - - Preconditions: - * in_dir is a real directory - * out_dir is a real, empty directory - """ - pyfile_gen = ( - pathlib.Path(os.path.join(root, f)) - for root, _, files in os.walk(in_dir) - for f in files if os.path.splitext(f)[1] == ".py" - ) - - for fpath in pyfile_gen: - with open(fpath, 'r') as f: - src = f.read() - - # Parse the code and insert method call fixes. - tree = cst.parse_module(src) - updated = tree.visit(transformer) - - # Create the path and directory structure for the new file. - updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) - updated_path.parent.mkdir(parents=True, exist_ok=True) - - # Generate the updated source file at the corresponding path. - with open(updated_path, 'w') as f: - f.write(updated.code) - - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description="""Fix up source that uses the memcache client library. - -The existing sources are NOT overwritten but are copied to output_dir with changes made. - -Note: This tool operates at a best-effort level at converting positional - parameters in client method calls to keyword based parameters. - Cases where it WILL FAIL include - A) * or ** expansion in a method call. - B) Calls via function or method alias (includes free function calls) - C) Indirect or dispatched calls (e.g. the method is looked up dynamically) - - These all constitute false negatives. The tool will also detect false - positives when an API method shares a name with another method. -""") - parser.add_argument( - '-d', - '--input-directory', - required=True, - dest='input_dir', - help='the input directory to walk for python files to fix up', - ) - parser.add_argument( - '-o', - '--output-directory', - required=True, - dest='output_dir', - help='the directory to output files fixed via un-flattening', - ) - args = parser.parse_args() - input_dir = pathlib.Path(args.input_dir) - output_dir = pathlib.Path(args.output_dir) - if not input_dir.is_dir(): - print( - f"input directory '{input_dir}' does not exist or is not a directory", - file=sys.stderr, - ) - sys.exit(-1) - - if not output_dir.is_dir(): - print( - f"output directory '{output_dir}' does not exist or is not a directory", - file=sys.stderr, - ) - sys.exit(-1) - - if os.listdir(output_dir): - print( - f"output directory '{output_dir}' is not empty", - file=sys.stderr, - ) - sys.exit(-1) - - fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/v1/setup.py b/owl-bot-staging/v1/setup.py deleted file mode 100644 index a22e368..0000000 --- a/owl-bot-staging/v1/setup.py +++ /dev/null @@ -1,59 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import io -import os -import setuptools # type: ignore - -version = '0.1.0' - -package_root = os.path.abspath(os.path.dirname(__file__)) - -readme_filename = os.path.join(package_root, 'README.rst') -with io.open(readme_filename, encoding='utf-8') as readme_file: - readme = readme_file.read() - -setuptools.setup( - name='google-cloud-memcache', - author="Google LLC", - author_email="googleapis-packages@google.com", - url="https://github.com/googleapis/python-google-cloud-memcache", - version=version, - long_description=readme, - packages=setuptools.PEP420PackageFinder.find(), - namespace_packages=('google', 'google.cloud'), - platforms='Posix; MacOS X; Windows', - include_package_data=True, - install_requires=( - 'google-api-core[grpc] >= 2.8.0, < 3.0.0dev', - 'libcst >= 0.2.5', - 'googleapis-common-protos >= 1.55.0, <2.0.0dev', - 'proto-plus >= 1.19.7', - ), - python_requires='>=3.6', - classifiers=[ - 'Development Status :: 3 - Alpha', - 'Intended Audience :: Developers', - 'Operating System :: OS Independent', - 'Programming Language :: Python :: 3.6', - 'Programming Language :: Python :: 3.7', - 'Programming Language :: Python :: 3.8', - 'Programming Language :: Python :: 3.9', - 'Programming Language :: Python :: 3.10', - 'Topic :: Internet', - 'Topic :: Software Development :: Libraries :: Python Modules', - ], - zip_safe=False, -) diff --git a/owl-bot-staging/v1/tests/__init__.py b/owl-bot-staging/v1/tests/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1/tests/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1/tests/unit/__init__.py b/owl-bot-staging/v1/tests/unit/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1/tests/unit/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1/tests/unit/gapic/__init__.py b/owl-bot-staging/v1/tests/unit/gapic/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1/tests/unit/gapic/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py deleted file mode 100644 index 4a63ae1..0000000 --- a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py +++ /dev/null @@ -1,3120 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import os -# try/except added for compatibility with python < 3.8 -try: - from unittest import mock - from unittest.mock import AsyncMock -except ImportError: - import mock - -import grpc -from grpc.experimental import aio -import math -import pytest -from proto.marshal.rules.dates import DurationRule, TimestampRule - - -from google.api_core import client_options -from google.api_core import exceptions as core_exceptions -from google.api_core import future -from google.api_core import gapic_v1 -from google.api_core import grpc_helpers -from google.api_core import grpc_helpers_async -from google.api_core import operation -from google.api_core import operation_async # type: ignore -from google.api_core import operations_v1 -from google.api_core import path_template -from google.auth import credentials as ga_credentials -from google.auth.exceptions import MutualTLSChannelError -from google.cloud.memcache_v1.services.cloud_memcache import CloudMemcacheAsyncClient -from google.cloud.memcache_v1.services.cloud_memcache import CloudMemcacheClient -from google.cloud.memcache_v1.services.cloud_memcache import pagers -from google.cloud.memcache_v1.services.cloud_memcache import transports -from google.cloud.memcache_v1.types import cloud_memcache -from google.longrunning import operations_pb2 -from google.oauth2 import service_account -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -import google.auth - - -def client_cert_source_callback(): - return b"cert bytes", b"key bytes" - - -# If default endpoint is localhost, then default mtls endpoint will be the same. -# This method modifies the default endpoint so the client can produce a different -# mtls endpoint for endpoint testing purposes. -def modify_default_endpoint(client): - return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT - - -def test__get_default_mtls_endpoint(): - api_endpoint = "example.googleapis.com" - api_mtls_endpoint = "example.mtls.googleapis.com" - sandbox_endpoint = "example.sandbox.googleapis.com" - sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" - non_googleapi = "api.example.com" - - assert CloudMemcacheClient._get_default_mtls_endpoint(None) is None - assert CloudMemcacheClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi - - -@pytest.mark.parametrize("client_class,transport_name", [ - (CloudMemcacheClient, "grpc"), - (CloudMemcacheAsyncClient, "grpc_asyncio"), -]) -def test_cloud_memcache_client_from_service_account_info(client_class, transport_name): - creds = ga_credentials.AnonymousCredentials() - with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: - factory.return_value = creds - info = {"valid": True} - client = client_class.from_service_account_info(info, transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - - -@pytest.mark.parametrize("transport_class,transport_name", [ - (transports.CloudMemcacheGrpcTransport, "grpc"), - (transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -def test_cloud_memcache_client_service_account_always_use_jwt(transport_class, transport_name): - with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: - creds = service_account.Credentials(None, None, None) - transport = transport_class(credentials=creds, always_use_jwt_access=True) - use_jwt.assert_called_once_with(True) - - with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: - creds = service_account.Credentials(None, None, None) - transport = transport_class(credentials=creds, always_use_jwt_access=False) - use_jwt.assert_not_called() - - -@pytest.mark.parametrize("client_class,transport_name", [ - (CloudMemcacheClient, "grpc"), - (CloudMemcacheAsyncClient, "grpc_asyncio"), -]) -def test_cloud_memcache_client_from_service_account_file(client_class, transport_name): - creds = ga_credentials.AnonymousCredentials() - with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: - factory.return_value = creds - client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - - -def test_cloud_memcache_client_get_transport_class(): - transport = CloudMemcacheClient.get_transport_class() - available_transports = [ - transports.CloudMemcacheGrpcTransport, - ] - assert transport in available_transports - - transport = CloudMemcacheClient.get_transport_class("grpc") - assert transport == transports.CloudMemcacheGrpcTransport - - -@pytest.mark.parametrize("client_class,transport_class,transport_name", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -def test_cloud_memcache_client_client_options(client_class, transport_class, transport_name): - # Check that if channel is provided we won't create a new one. - with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: - transport = transport_class( - credentials=ga_credentials.AnonymousCredentials() - ) - client = client_class(transport=transport) - gtc.assert_not_called() - - # Check that if channel is provided via str we will create a new one. - with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: - client = client_class(transport=transport_name) - gtc.assert_called() - - # Check the case api_endpoint is provided. - options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name, client_options=options) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host="squid.clam.whelk", - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is - # "never". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is - # "always". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_MTLS_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has - # unsupported value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): - with pytest.raises(MutualTLSChannelError): - client = client_class(transport=transport_name) - - # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): - with pytest.raises(ValueError): - client = client_class(transport=transport_name) - - # Check the case quota_project_id is provided - options = client_options.ClientOptions(quota_project_id="octopus") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id="octopus", - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - # Check the case api_endpoint is provided - options = client_options.ClientOptions(api_audience="https://language.googleapis.com") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience="https://language.googleapis.com" - ) - -@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "true"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "true"), - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "false"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "false"), -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) -def test_cloud_memcache_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): - # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default - # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. - - # Check the case client_cert_source is provided. Whether client cert is used depends on - # GOOGLE_API_USE_CLIENT_CERTIFICATE value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - - if use_client_cert_env == "false": - expected_client_cert_source = None - expected_host = client.DEFAULT_ENDPOINT - else: - expected_client_cert_source = client_cert_source_callback - expected_host = client.DEFAULT_MTLS_ENDPOINT - - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=expected_host, - scopes=None, - client_cert_source_for_mtls=expected_client_cert_source, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case ADC client cert is provided. Whether client cert is used depends on - # GOOGLE_API_USE_CLIENT_CERTIFICATE value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - with mock.patch.object(transport_class, '__init__') as patched: - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): - with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): - if use_client_cert_env == "false": - expected_host = client.DEFAULT_ENDPOINT - expected_client_cert_source = None - else: - expected_host = client.DEFAULT_MTLS_ENDPOINT - expected_client_cert_source = client_cert_source_callback - - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=expected_host, - scopes=None, - client_cert_source_for_mtls=expected_client_cert_source, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case client_cert_source and ADC client cert are not provided. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - with mock.patch.object(transport_class, '__init__') as patched: - with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - -@pytest.mark.parametrize("client_class", [ - CloudMemcacheClient, CloudMemcacheAsyncClient -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -def test_cloud_memcache_client_get_mtls_endpoint_and_cert_source(client_class): - mock_client_cert_source = mock.Mock() - - # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - mock_api_endpoint = "foo" - options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) - assert api_endpoint == mock_api_endpoint - assert cert_source == mock_client_cert_source - - # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): - mock_client_cert_source = mock.Mock() - mock_api_endpoint = "foo" - options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) - assert api_endpoint == mock_api_endpoint - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): - with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT - assert cert_source == mock_client_cert_source - - -@pytest.mark.parametrize("client_class,transport_class,transport_name", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -def test_cloud_memcache_client_client_options_scopes(client_class, transport_class, transport_name): - # Check the case scopes are provided. - options = client_options.ClientOptions( - scopes=["1", "2"], - ) - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=["1", "2"], - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - -@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), -]) -def test_cloud_memcache_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): - # Check the case credentials file is provided. - options = client_options.ClientOptions( - credentials_file="credentials.json" - ) - - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file="credentials.json", - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - -def test_cloud_memcache_client_client_options_from_dict(): - with mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__') as grpc_transport: - grpc_transport.return_value = None - client = CloudMemcacheClient( - client_options={'api_endpoint': 'squid.clam.whelk'} - ) - grpc_transport.assert_called_once_with( - credentials=None, - credentials_file=None, - host="squid.clam.whelk", - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - -@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), -]) -def test_cloud_memcache_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): - # Check the case credentials file is provided. - options = client_options.ClientOptions( - credentials_file="credentials.json" - ) - - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file="credentials.json", - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # test that the credentials from file are saved and used as the credentials. - with mock.patch.object( - google.auth, "load_credentials_from_file", autospec=True - ) as load_creds, mock.patch.object( - google.auth, "default", autospec=True - ) as adc, mock.patch.object( - grpc_helpers, "create_channel" - ) as create_channel: - creds = ga_credentials.AnonymousCredentials() - file_creds = ga_credentials.AnonymousCredentials() - load_creds.return_value = (file_creds, None) - adc.return_value = (creds, None) - client = client_class(client_options=options, transport=transport_name) - create_channel.assert_called_with( - "memcache.googleapis.com:443", - credentials=file_creds, - credentials_file=None, - quota_project_id=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - scopes=None, - default_host="memcache.googleapis.com", - ssl_credentials=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.ListInstancesRequest, - dict, -]) -def test_list_instances(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse( - next_page_token='next_page_token_value', - unreachable=['unreachable_value'], - ) - response = client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, pagers.ListInstancesPager) - assert response.next_page_token == 'next_page_token_value' - assert response.unreachable == ['unreachable_value'] - - -def test_list_instances_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - client.list_instances() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - -@pytest.mark.asyncio -async def test_list_instances_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ListInstancesRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse( - next_page_token='next_page_token_value', - unreachable=['unreachable_value'], - )) - response = await client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, pagers.ListInstancesAsyncPager) - assert response.next_page_token == 'next_page_token_value' - assert response.unreachable == ['unreachable_value'] - - -@pytest.mark.asyncio -async def test_list_instances_async_from_dict(): - await test_list_instances_async(request_type=dict) - - -def test_list_instances_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ListInstancesRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - call.return_value = cloud_memcache.ListInstancesResponse() - client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_list_instances_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ListInstancesRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) - await client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -def test_list_instances_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse() - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.list_instances( - parent='parent_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - - -def test_list_instances_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.list_instances( - cloud_memcache.ListInstancesRequest(), - parent='parent_value', - ) - -@pytest.mark.asyncio -async def test_list_instances_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse() - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.list_instances( - parent='parent_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_list_instances_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.list_instances( - cloud_memcache.ListInstancesRequest(), - parent='parent_value', - ) - - -def test_list_instances_pager(transport_name: str = "grpc"): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials, - transport=transport_name, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - instances=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - - metadata = () - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ('parent', ''), - )), - ) - pager = client.list_instances(request={}) - - assert pager._metadata == metadata - - results = list(pager) - assert len(results) == 6 - assert all(isinstance(i, cloud_memcache.Instance) - for i in results) -def test_list_instances_pages(transport_name: str = "grpc"): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials, - transport=transport_name, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - instances=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - pages = list(client.list_instances(request={}).pages) - for page_, token in zip(pages, ['abc','def','ghi', '']): - assert page_.raw_page.next_page_token == token - -@pytest.mark.asyncio -async def test_list_instances_async_pager(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__', new_callable=mock.AsyncMock) as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - instances=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - async_pager = await client.list_instances(request={},) - assert async_pager.next_page_token == 'abc' - responses = [] - async for response in async_pager: # pragma: no branch - responses.append(response) - - assert len(responses) == 6 - assert all(isinstance(i, cloud_memcache.Instance) - for i in responses) - - -@pytest.mark.asyncio -async def test_list_instances_async_pages(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__', new_callable=mock.AsyncMock) as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - instances=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - pages = [] - async for page_ in (await client.list_instances(request={})).pages: # pragma: no branch - pages.append(page_) - for page_, token in zip(pages, ['abc','def','ghi', '']): - assert page_.raw_page.next_page_token == token - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.GetInstanceRequest, - dict, -]) -def test_get_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance( - name='name_value', - display_name='display_name_value', - authorized_network='authorized_network_value', - zones=['zones_value'], - node_count=1070, - memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, - state=cloud_memcache.Instance.State.CREATING, - memcache_full_version='memcache_full_version_value', - discovery_endpoint='discovery_endpoint_value', - ) - response = client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, cloud_memcache.Instance) - assert response.name == 'name_value' - assert response.display_name == 'display_name_value' - assert response.authorized_network == 'authorized_network_value' - assert response.zones == ['zones_value'] - assert response.node_count == 1070 - assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 - assert response.state == cloud_memcache.Instance.State.CREATING - assert response.memcache_full_version == 'memcache_full_version_value' - assert response.discovery_endpoint == 'discovery_endpoint_value' - - -def test_get_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - client.get_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - -@pytest.mark.asyncio -async def test_get_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.GetInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance( - name='name_value', - display_name='display_name_value', - authorized_network='authorized_network_value', - zones=['zones_value'], - node_count=1070, - memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, - state=cloud_memcache.Instance.State.CREATING, - memcache_full_version='memcache_full_version_value', - discovery_endpoint='discovery_endpoint_value', - )) - response = await client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, cloud_memcache.Instance) - assert response.name == 'name_value' - assert response.display_name == 'display_name_value' - assert response.authorized_network == 'authorized_network_value' - assert response.zones == ['zones_value'] - assert response.node_count == 1070 - assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 - assert response.state == cloud_memcache.Instance.State.CREATING - assert response.memcache_full_version == 'memcache_full_version_value' - assert response.discovery_endpoint == 'discovery_endpoint_value' - - -@pytest.mark.asyncio -async def test_get_instance_async_from_dict(): - await test_get_instance_async(request_type=dict) - - -def test_get_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.GetInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - call.return_value = cloud_memcache.Instance() - client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_get_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.GetInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) - await client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_get_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance() - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.get_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - - -def test_get_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.get_instance( - cloud_memcache.GetInstanceRequest(), - name='name_value', - ) - -@pytest.mark.asyncio -async def test_get_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance() - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.get_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_get_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.get_instance( - cloud_memcache.GetInstanceRequest(), - name='name_value', - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.CreateInstanceRequest, - dict, -]) -def test_create_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_create_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - client.create_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - -@pytest.mark.asyncio -async def test_create_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.CreateInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_create_instance_async_from_dict(): - await test_create_instance_async(request_type=dict) - - -def test_create_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.CreateInstanceRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_create_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.CreateInstanceRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -def test_create_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.create_instance( - parent='parent_value', - instance=cloud_memcache.Instance(name='name_value'), - instance_id='instance_id_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - arg = args[0].instance - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - arg = args[0].instance_id - mock_val = 'instance_id_value' - assert arg == mock_val - - -def test_create_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.create_instance( - cloud_memcache.CreateInstanceRequest(), - parent='parent_value', - instance=cloud_memcache.Instance(name='name_value'), - instance_id='instance_id_value', - ) - -@pytest.mark.asyncio -async def test_create_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.create_instance( - parent='parent_value', - instance=cloud_memcache.Instance(name='name_value'), - instance_id='instance_id_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - arg = args[0].instance - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - arg = args[0].instance_id - mock_val = 'instance_id_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_create_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.create_instance( - cloud_memcache.CreateInstanceRequest(), - parent='parent_value', - instance=cloud_memcache.Instance(name='name_value'), - instance_id='instance_id_value', - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.UpdateInstanceRequest, - dict, -]) -def test_update_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_update_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - client.update_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - -@pytest.mark.asyncio -async def test_update_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_update_instance_async_from_dict(): - await test_update_instance_async(request_type=dict) - - -def test_update_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateInstanceRequest() - - request.instance.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'instance.name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_update_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateInstanceRequest() - - request.instance.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'instance.name=name_value', - ) in kw['metadata'] - - -def test_update_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.update_instance( - instance=cloud_memcache.Instance(name='name_value'), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].instance - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - - -def test_update_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.update_instance( - cloud_memcache.UpdateInstanceRequest(), - instance=cloud_memcache.Instance(name='name_value'), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - ) - -@pytest.mark.asyncio -async def test_update_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.update_instance( - instance=cloud_memcache.Instance(name='name_value'), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].instance - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - -@pytest.mark.asyncio -async def test_update_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.update_instance( - cloud_memcache.UpdateInstanceRequest(), - instance=cloud_memcache.Instance(name='name_value'), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.UpdateParametersRequest, - dict, -]) -def test_update_parameters(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_update_parameters_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - client.update_parameters() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - -@pytest.mark.asyncio -async def test_update_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateParametersRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_update_parameters_async_from_dict(): - await test_update_parameters_async(request_type=dict) - - -def test_update_parameters_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_update_parameters_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_update_parameters_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.update_parameters( - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].parameters - mock_val = cloud_memcache.MemcacheParameters(id='id_value') - assert arg == mock_val - - -def test_update_parameters_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.update_parameters( - cloud_memcache.UpdateParametersRequest(), - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - -@pytest.mark.asyncio -async def test_update_parameters_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.update_parameters( - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].parameters - mock_val = cloud_memcache.MemcacheParameters(id='id_value') - assert arg == mock_val - -@pytest.mark.asyncio -async def test_update_parameters_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.update_parameters( - cloud_memcache.UpdateParametersRequest(), - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.DeleteInstanceRequest, - dict, -]) -def test_delete_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_delete_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - client.delete_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - -@pytest.mark.asyncio -async def test_delete_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.DeleteInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_delete_instance_async_from_dict(): - await test_delete_instance_async(request_type=dict) - - -def test_delete_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.DeleteInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_delete_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.DeleteInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_delete_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.delete_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - - -def test_delete_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.delete_instance( - cloud_memcache.DeleteInstanceRequest(), - name='name_value', - ) - -@pytest.mark.asyncio -async def test_delete_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.delete_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_delete_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.delete_instance( - cloud_memcache.DeleteInstanceRequest(), - name='name_value', - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.ApplyParametersRequest, - dict, -]) -def test_apply_parameters(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_apply_parameters_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - client.apply_parameters() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - -@pytest.mark.asyncio -async def test_apply_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplyParametersRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_apply_parameters_async_from_dict(): - await test_apply_parameters_async(request_type=dict) - - -def test_apply_parameters_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplyParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_apply_parameters_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplyParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_apply_parameters_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.apply_parameters( - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - - -def test_apply_parameters_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.apply_parameters( - cloud_memcache.ApplyParametersRequest(), - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - -@pytest.mark.asyncio -async def test_apply_parameters_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.apply_parameters( - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - -@pytest.mark.asyncio -async def test_apply_parameters_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.apply_parameters( - cloud_memcache.ApplyParametersRequest(), - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - -def test_credentials_transport_error(): - # It is an error to provide credentials and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # It is an error to provide a credentials file and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options={"credentials_file": "credentials.json"}, - transport=transport, - ) - - # It is an error to provide an api_key and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - options = client_options.ClientOptions() - options.api_key = "api_key" - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options=options, - transport=transport, - ) - - # It is an error to provide an api_key and a credential. - options = mock.Mock() - options.api_key = "api_key" - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options=options, - credentials=ga_credentials.AnonymousCredentials() - ) - - # It is an error to provide scopes and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options={"scopes": ["1", "2"]}, - transport=transport, - ) - - -def test_transport_instance(): - # A client may be instantiated with a custom transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - client = CloudMemcacheClient(transport=transport) - assert client.transport is transport - -def test_transport_get_channel(): - # A client may be instantiated with a custom transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - channel = transport.grpc_channel - assert channel - - transport = transports.CloudMemcacheGrpcAsyncIOTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - channel = transport.grpc_channel - assert channel - -@pytest.mark.parametrize("transport_class", [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, -]) -def test_transport_adc(transport_class): - # Test default credentials are used if not provided. - with mock.patch.object(google.auth, 'default') as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport_class() - adc.assert_called_once() - -@pytest.mark.parametrize("transport_name", [ - "grpc", -]) -def test_transport_kind(transport_name): - transport = CloudMemcacheClient.get_transport_class(transport_name)( - credentials=ga_credentials.AnonymousCredentials(), - ) - assert transport.kind == transport_name - -def test_transport_grpc_default(): - # A client should use the gRPC transport by default. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - assert isinstance( - client.transport, - transports.CloudMemcacheGrpcTransport, - ) - -def test_cloud_memcache_base_transport_error(): - # Passing both a credentials object and credentials_file should raise an error - with pytest.raises(core_exceptions.DuplicateCredentialArgs): - transport = transports.CloudMemcacheTransport( - credentials=ga_credentials.AnonymousCredentials(), - credentials_file="credentials.json" - ) - - -def test_cloud_memcache_base_transport(): - # Instantiate the base transport. - with mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport.__init__') as Transport: - Transport.return_value = None - transport = transports.CloudMemcacheTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Every method on the transport should just blindly - # raise NotImplementedError. - methods = ( - 'list_instances', - 'get_instance', - 'create_instance', - 'update_instance', - 'update_parameters', - 'delete_instance', - 'apply_parameters', - ) - for method in methods: - with pytest.raises(NotImplementedError): - getattr(transport, method)(request=object()) - - with pytest.raises(NotImplementedError): - transport.close() - - # Additionally, the LRO client (a property) should - # also raise NotImplementedError - with pytest.raises(NotImplementedError): - transport.operations_client - - # Catch all for all remaining methods and properties - remainder = [ - 'kind', - ] - for r in remainder: - with pytest.raises(NotImplementedError): - getattr(transport, r)() - - -def test_cloud_memcache_base_transport_with_credentials_file(): - # Instantiate the base transport with a credentials file - with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: - Transport.return_value = None - load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) - transport = transports.CloudMemcacheTransport( - credentials_file="credentials.json", - quota_project_id="octopus", - ) - load_creds.assert_called_once_with("credentials.json", - scopes=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - quota_project_id="octopus", - ) - - -def test_cloud_memcache_base_transport_with_adc(): - # Test the default credentials are used if credentials and credentials_file are None. - with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: - Transport.return_value = None - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport = transports.CloudMemcacheTransport() - adc.assert_called_once() - - -def test_cloud_memcache_auth_adc(): - # If no credentials are provided, we should use ADC credentials. - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - CloudMemcacheClient() - adc.assert_called_once_with( - scopes=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - quota_project_id=None, - ) - - -@pytest.mark.parametrize( - "transport_class", - [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, - ], -) -def test_cloud_memcache_transport_auth_adc(transport_class): - # If credentials and host are not provided, the transport class should use - # ADC credentials. - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport_class(quota_project_id="octopus", scopes=["1", "2"]) - adc.assert_called_once_with( - scopes=["1", "2"], - default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), - quota_project_id="octopus", - ) - - -@pytest.mark.parametrize( - "transport_class", - [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, - transports.CloudMemcacheRestTransport, - ], -) -def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): - host = 'https://language.com' - api_audience_tests = [None, 'https://language2.com'] - api_audience_expect = [host, 'https://language2.com'] - for t, e in zip(api_audience_tests, api_audience_expect): - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - gdch_mock = mock.MagicMock() - type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) - adc.return_value = (gdch_mock, None) - transport_class(host=host, api_audience=t) - gdch_mock.with_gdch_audience.assert_called_once_with( - e - ) - - -@pytest.mark.parametrize( - "transport_class,grpc_helpers", - [ - (transports.CloudMemcacheGrpcTransport, grpc_helpers), - (transports.CloudMemcacheGrpcAsyncIOTransport, grpc_helpers_async) - ], -) -def test_cloud_memcache_transport_create_channel(transport_class, grpc_helpers): - # If credentials and host are not provided, the transport class should use - # ADC credentials. - with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( - grpc_helpers, "create_channel", autospec=True - ) as create_channel: - creds = ga_credentials.AnonymousCredentials() - adc.return_value = (creds, None) - transport_class( - quota_project_id="octopus", - scopes=["1", "2"] - ) - - create_channel.assert_called_with( - "memcache.googleapis.com:443", - credentials=creds, - credentials_file=None, - quota_project_id="octopus", - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - scopes=["1", "2"], - default_host="memcache.googleapis.com", - ssl_credentials=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_grpc_transport_client_cert_source_for_mtls( - transport_class -): - cred = ga_credentials.AnonymousCredentials() - - # Check ssl_channel_credentials is used if provided. - with mock.patch.object(transport_class, "create_channel") as mock_create_channel: - mock_ssl_channel_creds = mock.Mock() - transport_class( - host="squid.clam.whelk", - credentials=cred, - ssl_channel_credentials=mock_ssl_channel_creds - ) - mock_create_channel.assert_called_once_with( - "squid.clam.whelk:443", - credentials=cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_channel_creds, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls - # is used. - with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): - with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: - transport_class( - credentials=cred, - client_cert_source_for_mtls=client_cert_source_callback - ) - expected_cert, expected_key = client_cert_source_callback() - mock_ssl_cred.assert_called_once_with( - certificate_chain=expected_cert, - private_key=expected_key - ) - - -@pytest.mark.parametrize("transport_name", [ - "grpc", - "grpc_asyncio", -]) -def test_cloud_memcache_host_no_port(transport_name): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com'), - transport=transport_name, - ) - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - -@pytest.mark.parametrize("transport_name", [ - "grpc", - "grpc_asyncio", -]) -def test_cloud_memcache_host_with_port(transport_name): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com:8000'), - transport=transport_name, - ) - assert client.transport._host == ( - 'memcache.googleapis.com:8000' - ) - -def test_cloud_memcache_grpc_transport_channel(): - channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) - - # Check that channel is used if provided. - transport = transports.CloudMemcacheGrpcTransport( - host="squid.clam.whelk", - channel=channel, - ) - assert transport.grpc_channel == channel - assert transport._host == "squid.clam.whelk:443" - assert transport._ssl_channel_credentials == None - - -def test_cloud_memcache_grpc_asyncio_transport_channel(): - channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) - - # Check that channel is used if provided. - transport = transports.CloudMemcacheGrpcAsyncIOTransport( - host="squid.clam.whelk", - channel=channel, - ) - assert transport.grpc_channel == channel - assert transport._host == "squid.clam.whelk:443" - assert transport._ssl_channel_credentials == None - - -# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are -# removed from grpc/grpc_asyncio transport constructor. -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_transport_channel_mtls_with_client_cert_source( - transport_class -): - with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: - with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: - mock_ssl_cred = mock.Mock() - grpc_ssl_channel_cred.return_value = mock_ssl_cred - - mock_grpc_channel = mock.Mock() - grpc_create_channel.return_value = mock_grpc_channel - - cred = ga_credentials.AnonymousCredentials() - with pytest.warns(DeprecationWarning): - with mock.patch.object(google.auth, 'default') as adc: - adc.return_value = (cred, None) - transport = transport_class( - host="squid.clam.whelk", - api_mtls_endpoint="mtls.squid.clam.whelk", - client_cert_source=client_cert_source_callback, - ) - adc.assert_called_once() - - grpc_ssl_channel_cred.assert_called_once_with( - certificate_chain=b"cert bytes", private_key=b"key bytes" - ) - grpc_create_channel.assert_called_once_with( - "mtls.squid.clam.whelk:443", - credentials=cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_cred, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - assert transport.grpc_channel == mock_grpc_channel - assert transport._ssl_channel_credentials == mock_ssl_cred - - -# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are -# removed from grpc/grpc_asyncio transport constructor. -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_transport_channel_mtls_with_adc( - transport_class -): - mock_ssl_cred = mock.Mock() - with mock.patch.multiple( - "google.auth.transport.grpc.SslCredentials", - __init__=mock.Mock(return_value=None), - ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), - ): - with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: - mock_grpc_channel = mock.Mock() - grpc_create_channel.return_value = mock_grpc_channel - mock_cred = mock.Mock() - - with pytest.warns(DeprecationWarning): - transport = transport_class( - host="squid.clam.whelk", - credentials=mock_cred, - api_mtls_endpoint="mtls.squid.clam.whelk", - client_cert_source=None, - ) - - grpc_create_channel.assert_called_once_with( - "mtls.squid.clam.whelk:443", - credentials=mock_cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_cred, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - assert transport.grpc_channel == mock_grpc_channel - - -def test_cloud_memcache_grpc_lro_client(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - transport = client.transport - - # Ensure that we have a api-core operations client. - assert isinstance( - transport.operations_client, - operations_v1.OperationsClient, - ) - - # Ensure that subsequent calls to the property send the exact same object. - assert transport.operations_client is transport.operations_client - - -def test_cloud_memcache_grpc_lro_async_client(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc_asyncio', - ) - transport = client.transport - - # Ensure that we have a api-core operations client. - assert isinstance( - transport.operations_client, - operations_v1.OperationsAsyncClient, - ) - - # Ensure that subsequent calls to the property send the exact same object. - assert transport.operations_client is transport.operations_client - - -def test_instance_path(): - project = "squid" - location = "clam" - instance = "whelk" - expected = "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) - actual = CloudMemcacheClient.instance_path(project, location, instance) - assert expected == actual - - -def test_parse_instance_path(): - expected = { - "project": "octopus", - "location": "oyster", - "instance": "nudibranch", - } - path = CloudMemcacheClient.instance_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_instance_path(path) - assert expected == actual - -def test_common_billing_account_path(): - billing_account = "cuttlefish" - expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) - actual = CloudMemcacheClient.common_billing_account_path(billing_account) - assert expected == actual - - -def test_parse_common_billing_account_path(): - expected = { - "billing_account": "mussel", - } - path = CloudMemcacheClient.common_billing_account_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_billing_account_path(path) - assert expected == actual - -def test_common_folder_path(): - folder = "winkle" - expected = "folders/{folder}".format(folder=folder, ) - actual = CloudMemcacheClient.common_folder_path(folder) - assert expected == actual - - -def test_parse_common_folder_path(): - expected = { - "folder": "nautilus", - } - path = CloudMemcacheClient.common_folder_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_folder_path(path) - assert expected == actual - -def test_common_organization_path(): - organization = "scallop" - expected = "organizations/{organization}".format(organization=organization, ) - actual = CloudMemcacheClient.common_organization_path(organization) - assert expected == actual - - -def test_parse_common_organization_path(): - expected = { - "organization": "abalone", - } - path = CloudMemcacheClient.common_organization_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_organization_path(path) - assert expected == actual - -def test_common_project_path(): - project = "squid" - expected = "projects/{project}".format(project=project, ) - actual = CloudMemcacheClient.common_project_path(project) - assert expected == actual - - -def test_parse_common_project_path(): - expected = { - "project": "clam", - } - path = CloudMemcacheClient.common_project_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_project_path(path) - assert expected == actual - -def test_common_location_path(): - project = "whelk" - location = "octopus" - expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) - actual = CloudMemcacheClient.common_location_path(project, location) - assert expected == actual - - -def test_parse_common_location_path(): - expected = { - "project": "oyster", - "location": "nudibranch", - } - path = CloudMemcacheClient.common_location_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_location_path(path) - assert expected == actual - - -def test_client_with_default_client_info(): - client_info = gapic_v1.client_info.ClientInfo() - - with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_info=client_info, - ) - prep.assert_called_once_with(client_info) - - with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: - transport_class = CloudMemcacheClient.get_transport_class() - transport = transport_class( - credentials=ga_credentials.AnonymousCredentials(), - client_info=client_info, - ) - prep.assert_called_once_with(client_info) - -@pytest.mark.asyncio -async def test_transport_close_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport="grpc_asyncio", - ) - with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: - async with client: - close.assert_not_called() - close.assert_called_once() - - -def test_transport_close(): - transports = { - "grpc": "_grpc_channel", - } - - for transport, close_name in transports.items(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport - ) - with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: - with client: - close.assert_not_called() - close.assert_called_once() - -def test_client_ctx(): - transports = [ - 'grpc', - ] - for transport in transports: - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport - ) - # Test client calls underlying transport. - with mock.patch.object(type(client.transport), "close") as close: - close.assert_not_called() - with client: - pass - close.assert_called() - -@pytest.mark.parametrize("client_class,transport_class", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport), -]) -def test_api_key_credentials(client_class, transport_class): - with mock.patch.object( - google.auth._default, "get_api_key_credentials", create=True - ) as get_api_key_credentials: - mock_cred = mock.Mock() - get_api_key_credentials.return_value = mock_cred - options = client_options.ClientOptions() - options.api_key = "api_key" - with mock.patch.object(transport_class, "__init__") as patched: - patched.return_value = None - client = client_class(client_options=options) - patched.assert_called_once_with( - credentials=mock_cred, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) diff --git a/owl-bot-staging/v1beta2/.coveragerc b/owl-bot-staging/v1beta2/.coveragerc deleted file mode 100644 index 028e2ca..0000000 --- a/owl-bot-staging/v1beta2/.coveragerc +++ /dev/null @@ -1,17 +0,0 @@ -[run] -branch = True - -[report] -show_missing = True -omit = - google/cloud/memcache/__init__.py -exclude_lines = - # Re-enable the standard pragma - pragma: NO COVER - # Ignore debug-only repr - def __repr__ - # Ignore pkg_resources exceptions. - # This is added at the module level as a safeguard for if someone - # generates the code and tries to run it without pip installing. This - # makes it virtually impossible to test properly. - except pkg_resources.DistributionNotFound diff --git a/owl-bot-staging/v1beta2/.flake8 b/owl-bot-staging/v1beta2/.flake8 deleted file mode 100644 index 29227d4..0000000 --- a/owl-bot-staging/v1beta2/.flake8 +++ /dev/null @@ -1,33 +0,0 @@ -# -*- coding: utf-8 -*- -# -# Copyright 2020 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -# Generated by synthtool. DO NOT EDIT! -[flake8] -ignore = E203, E266, E501, W503 -exclude = - # Exclude generated code. - **/proto/** - **/gapic/** - **/services/** - **/types/** - *_pb2.py - - # Standard linting exemptions. - **/.nox/** - __pycache__, - .git, - *.pyc, - conf.py diff --git a/owl-bot-staging/v1beta2/MANIFEST.in b/owl-bot-staging/v1beta2/MANIFEST.in deleted file mode 100644 index 9ef584d..0000000 --- a/owl-bot-staging/v1beta2/MANIFEST.in +++ /dev/null @@ -1,2 +0,0 @@ -recursive-include google/cloud/memcache *.py -recursive-include google/cloud/memcache_v1beta2 *.py diff --git a/owl-bot-staging/v1beta2/README.rst b/owl-bot-staging/v1beta2/README.rst deleted file mode 100644 index 672802b..0000000 --- a/owl-bot-staging/v1beta2/README.rst +++ /dev/null @@ -1,49 +0,0 @@ -Python Client for Google Cloud Memcache API -================================================= - -Quick Start ------------ - -In order to use this library, you first need to go through the following steps: - -1. `Select or create a Cloud Platform project.`_ -2. `Enable billing for your project.`_ -3. Enable the Google Cloud Memcache API. -4. `Setup Authentication.`_ - -.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project -.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project -.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html - -Installation -~~~~~~~~~~~~ - -Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to -create isolated Python environments. The basic problem it addresses is one of -dependencies and versions, and indirectly permissions. - -With `virtualenv`_, it's possible to install this library without needing system -install permissions, and without clashing with the installed system -dependencies. - -.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ - - -Mac/Linux -^^^^^^^^^ - -.. code-block:: console - - python3 -m venv - source /bin/activate - /bin/pip install /path/to/library - - -Windows -^^^^^^^ - -.. code-block:: console - - python3 -m venv - \Scripts\activate - \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/v1beta2/docs/conf.py b/owl-bot-staging/v1beta2/docs/conf.py deleted file mode 100644 index d96922c..0000000 --- a/owl-bot-staging/v1beta2/docs/conf.py +++ /dev/null @@ -1,376 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# -# google-cloud-memcache documentation build configuration file -# -# This file is execfile()d with the current directory set to its -# containing dir. -# -# Note that not all possible configuration values are present in this -# autogenerated file. -# -# All configuration values have a default; values that are commented out -# serve to show the default. - -import sys -import os -import shlex - -# If extensions (or modules to document with autodoc) are in another directory, -# add these directories to sys.path here. If the directory is relative to the -# documentation root, use os.path.abspath to make it absolute, like shown here. -sys.path.insert(0, os.path.abspath("..")) - -__version__ = "0.1.0" - -# -- General configuration ------------------------------------------------ - -# If your documentation needs a minimal Sphinx version, state it here. -needs_sphinx = "4.0.1" - -# Add any Sphinx extension module names here, as strings. They can be -# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom -# ones. -extensions = [ - "sphinx.ext.autodoc", - "sphinx.ext.autosummary", - "sphinx.ext.intersphinx", - "sphinx.ext.coverage", - "sphinx.ext.napoleon", - "sphinx.ext.todo", - "sphinx.ext.viewcode", -] - -# autodoc/autosummary flags -autoclass_content = "both" -autodoc_default_flags = ["members"] -autosummary_generate = True - - -# Add any paths that contain templates here, relative to this directory. -templates_path = ["_templates"] - -# Allow markdown includes (so releases.md can include CHANGLEOG.md) -# http://www.sphinx-doc.org/en/master/markdown.html -source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} - -# The suffix(es) of source filenames. -# You can specify multiple suffix as a list of string: -source_suffix = [".rst", ".md"] - -# The encoding of source files. -# source_encoding = 'utf-8-sig' - -# The root toctree document. -root_doc = "index" - -# General information about the project. -project = u"google-cloud-memcache" -copyright = u"2022, Google, LLC" -author = u"Google APIs" # TODO: autogenerate this bit - -# The version info for the project you're documenting, acts as replacement for -# |version| and |release|, also used in various other places throughout the -# built documents. -# -# The full version, including alpha/beta/rc tags. -release = __version__ -# The short X.Y version. -version = ".".join(release.split(".")[0:2]) - -# The language for content autogenerated by Sphinx. Refer to documentation -# for a list of supported languages. -# -# This is also used if you do content translation via gettext catalogs. -# Usually you set "language" from the command line for these cases. -language = None - -# There are two options for replacing |today|: either, you set today to some -# non-false value, then it is used: -# today = '' -# Else, today_fmt is used as the format for a strftime call. -# today_fmt = '%B %d, %Y' - -# List of patterns, relative to source directory, that match files and -# directories to ignore when looking for source files. -exclude_patterns = ["_build"] - -# The reST default role (used for this markup: `text`) to use for all -# documents. -# default_role = None - -# If true, '()' will be appended to :func: etc. cross-reference text. -# add_function_parentheses = True - -# If true, the current module name will be prepended to all description -# unit titles (such as .. function::). -# add_module_names = True - -# If true, sectionauthor and moduleauthor directives will be shown in the -# output. They are ignored by default. -# show_authors = False - -# The name of the Pygments (syntax highlighting) style to use. -pygments_style = "sphinx" - -# A list of ignored prefixes for module index sorting. -# modindex_common_prefix = [] - -# If true, keep warnings as "system message" paragraphs in the built documents. -# keep_warnings = False - -# If true, `todo` and `todoList` produce output, else they produce nothing. -todo_include_todos = True - - -# -- Options for HTML output ---------------------------------------------- - -# The theme to use for HTML and HTML Help pages. See the documentation for -# a list of builtin themes. -html_theme = "alabaster" - -# Theme options are theme-specific and customize the look and feel of a theme -# further. For a list of options available for each theme, see the -# documentation. -html_theme_options = { - "description": "Google Cloud Client Libraries for Python", - "github_user": "googleapis", - "github_repo": "google-cloud-python", - "github_banner": True, - "font_family": "'Roboto', Georgia, sans", - "head_font_family": "'Roboto', Georgia, serif", - "code_font_family": "'Roboto Mono', 'Consolas', monospace", -} - -# Add any paths that contain custom themes here, relative to this directory. -# html_theme_path = [] - -# The name for this set of Sphinx documents. If None, it defaults to -# " v documentation". -# html_title = None - -# A shorter title for the navigation bar. Default is the same as html_title. -# html_short_title = None - -# The name of an image file (relative to this directory) to place at the top -# of the sidebar. -# html_logo = None - -# The name of an image file (within the static path) to use as favicon of the -# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 -# pixels large. -# html_favicon = None - -# Add any paths that contain custom static files (such as style sheets) here, -# relative to this directory. They are copied after the builtin static files, -# so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ["_static"] - -# Add any extra paths that contain custom files (such as robots.txt or -# .htaccess) here, relative to this directory. These files are copied -# directly to the root of the documentation. -# html_extra_path = [] - -# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, -# using the given strftime format. -# html_last_updated_fmt = '%b %d, %Y' - -# If true, SmartyPants will be used to convert quotes and dashes to -# typographically correct entities. -# html_use_smartypants = True - -# Custom sidebar templates, maps document names to template names. -# html_sidebars = {} - -# Additional templates that should be rendered to pages, maps page names to -# template names. -# html_additional_pages = {} - -# If false, no module index is generated. -# html_domain_indices = True - -# If false, no index is generated. -# html_use_index = True - -# If true, the index is split into individual pages for each letter. -# html_split_index = False - -# If true, links to the reST sources are added to the pages. -# html_show_sourcelink = True - -# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. -# html_show_sphinx = True - -# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. -# html_show_copyright = True - -# If true, an OpenSearch description file will be output, and all pages will -# contain a tag referring to it. The value of this option must be the -# base URL from which the finished HTML is served. -# html_use_opensearch = '' - -# This is the file name suffix for HTML files (e.g. ".xhtml"). -# html_file_suffix = None - -# Language to be used for generating the HTML full-text search index. -# Sphinx supports the following languages: -# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' -# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' -# html_search_language = 'en' - -# A dictionary with options for the search language support, empty by default. -# Now only 'ja' uses this config value -# html_search_options = {'type': 'default'} - -# The name of a javascript file (relative to the configuration directory) that -# implements a search results scorer. If empty, the default will be used. -# html_search_scorer = 'scorer.js' - -# Output file base name for HTML help builder. -htmlhelp_basename = "google-cloud-memcache-doc" - -# -- Options for warnings ------------------------------------------------------ - - -suppress_warnings = [ - # Temporarily suppress this to avoid "more than one target found for - # cross-reference" warning, which are intractable for us to avoid while in - # a mono-repo. - # See https://github.com/sphinx-doc/sphinx/blob - # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 - "ref.python" -] - -# -- Options for LaTeX output --------------------------------------------- - -latex_elements = { - # The paper size ('letterpaper' or 'a4paper'). - # 'papersize': 'letterpaper', - # The font size ('10pt', '11pt' or '12pt'). - # 'pointsize': '10pt', - # Additional stuff for the LaTeX preamble. - # 'preamble': '', - # Latex figure (float) alignment - # 'figure_align': 'htbp', -} - -# Grouping the document tree into LaTeX files. List of tuples -# (source start file, target name, title, -# author, documentclass [howto, manual, or own class]). -latex_documents = [ - ( - root_doc, - "google-cloud-memcache.tex", - u"google-cloud-memcache Documentation", - author, - "manual", - ) -] - -# The name of an image file (relative to this directory) to place at the top of -# the title page. -# latex_logo = None - -# For "manual" documents, if this is true, then toplevel headings are parts, -# not chapters. -# latex_use_parts = False - -# If true, show page references after internal links. -# latex_show_pagerefs = False - -# If true, show URL addresses after external links. -# latex_show_urls = False - -# Documents to append as an appendix to all manuals. -# latex_appendices = [] - -# If false, no module index is generated. -# latex_domain_indices = True - - -# -- Options for manual page output --------------------------------------- - -# One entry per manual page. List of tuples -# (source start file, name, description, authors, manual section). -man_pages = [ - ( - root_doc, - "google-cloud-memcache", - u"Google Cloud Memcache Documentation", - [author], - 1, - ) -] - -# If true, show URL addresses after external links. -# man_show_urls = False - - -# -- Options for Texinfo output ------------------------------------------- - -# Grouping the document tree into Texinfo files. List of tuples -# (source start file, target name, title, author, -# dir menu entry, description, category) -texinfo_documents = [ - ( - root_doc, - "google-cloud-memcache", - u"google-cloud-memcache Documentation", - author, - "google-cloud-memcache", - "GAPIC library for Google Cloud Memcache API", - "APIs", - ) -] - -# Documents to append as an appendix to all manuals. -# texinfo_appendices = [] - -# If false, no module index is generated. -# texinfo_domain_indices = True - -# How to display URL addresses: 'footnote', 'no', or 'inline'. -# texinfo_show_urls = 'footnote' - -# If true, do not generate a @detailmenu in the "Top" node's menu. -# texinfo_no_detailmenu = False - - -# Example configuration for intersphinx: refer to the Python standard library. -intersphinx_mapping = { - "python": ("http://python.readthedocs.org/en/latest/", None), - "gax": ("https://gax-python.readthedocs.org/en/latest/", None), - "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), - "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), - "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), - "grpc": ("https://grpc.io/grpc/python/", None), - "requests": ("http://requests.kennethreitz.org/en/stable/", None), - "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), - "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), -} - - -# Napoleon settings -napoleon_google_docstring = True -napoleon_numpy_docstring = True -napoleon_include_private_with_doc = False -napoleon_include_special_with_doc = True -napoleon_use_admonition_for_examples = False -napoleon_use_admonition_for_notes = False -napoleon_use_admonition_for_references = False -napoleon_use_ivar = False -napoleon_use_param = True -napoleon_use_rtype = True diff --git a/owl-bot-staging/v1beta2/docs/index.rst b/owl-bot-staging/v1beta2/docs/index.rst deleted file mode 100644 index 52e2cbf..0000000 --- a/owl-bot-staging/v1beta2/docs/index.rst +++ /dev/null @@ -1,7 +0,0 @@ -API Reference -------------- -.. toctree:: - :maxdepth: 2 - - memcache_v1beta2/services - memcache_v1beta2/types diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst deleted file mode 100644 index 7dc7a82..0000000 --- a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst +++ /dev/null @@ -1,10 +0,0 @@ -CloudMemcache -------------------------------- - -.. automodule:: google.cloud.memcache_v1beta2.services.cloud_memcache - :members: - :inherited-members: - -.. automodule:: google.cloud.memcache_v1beta2.services.cloud_memcache.pagers - :members: - :inherited-members: diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst deleted file mode 100644 index e5faef5..0000000 --- a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst +++ /dev/null @@ -1,6 +0,0 @@ -Services for Google Cloud Memcache v1beta2 API -============================================== -.. toctree:: - :maxdepth: 2 - - cloud_memcache diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst deleted file mode 100644 index 19e52f6..0000000 --- a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst +++ /dev/null @@ -1,7 +0,0 @@ -Types for Google Cloud Memcache v1beta2 API -=========================================== - -.. automodule:: google.cloud.memcache_v1beta2.types - :members: - :undoc-members: - :show-inheritance: diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py deleted file mode 100644 index 089b411..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py +++ /dev/null @@ -1,53 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -from google.cloud.memcache_v1beta2.services.cloud_memcache.client import CloudMemcacheClient -from google.cloud.memcache_v1beta2.services.cloud_memcache.async_client import CloudMemcacheAsyncClient - -from google.cloud.memcache_v1beta2.types.cloud_memcache import ApplyParametersRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import ApplySoftwareUpdateRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import CreateInstanceRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import DeleteInstanceRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import GetInstanceRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import Instance -from google.cloud.memcache_v1beta2.types.cloud_memcache import ListInstancesRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import ListInstancesResponse -from google.cloud.memcache_v1beta2.types.cloud_memcache import LocationMetadata -from google.cloud.memcache_v1beta2.types.cloud_memcache import MemcacheParameters -from google.cloud.memcache_v1beta2.types.cloud_memcache import OperationMetadata -from google.cloud.memcache_v1beta2.types.cloud_memcache import UpdateInstanceRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import UpdateParametersRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import ZoneMetadata -from google.cloud.memcache_v1beta2.types.cloud_memcache import MemcacheVersion - -__all__ = ('CloudMemcacheClient', - 'CloudMemcacheAsyncClient', - 'ApplyParametersRequest', - 'ApplySoftwareUpdateRequest', - 'CreateInstanceRequest', - 'DeleteInstanceRequest', - 'GetInstanceRequest', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'LocationMetadata', - 'MemcacheParameters', - 'OperationMetadata', - 'UpdateInstanceRequest', - 'UpdateParametersRequest', - 'ZoneMetadata', - 'MemcacheVersion', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed b/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed deleted file mode 100644 index 7959cf4..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed +++ /dev/null @@ -1,2 +0,0 @@ -# Marker file for PEP 561. -# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py deleted file mode 100644 index 7f9cce4..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py +++ /dev/null @@ -1,54 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -from .services.cloud_memcache import CloudMemcacheClient -from .services.cloud_memcache import CloudMemcacheAsyncClient - -from .types.cloud_memcache import ApplyParametersRequest -from .types.cloud_memcache import ApplySoftwareUpdateRequest -from .types.cloud_memcache import CreateInstanceRequest -from .types.cloud_memcache import DeleteInstanceRequest -from .types.cloud_memcache import GetInstanceRequest -from .types.cloud_memcache import Instance -from .types.cloud_memcache import ListInstancesRequest -from .types.cloud_memcache import ListInstancesResponse -from .types.cloud_memcache import LocationMetadata -from .types.cloud_memcache import MemcacheParameters -from .types.cloud_memcache import OperationMetadata -from .types.cloud_memcache import UpdateInstanceRequest -from .types.cloud_memcache import UpdateParametersRequest -from .types.cloud_memcache import ZoneMetadata -from .types.cloud_memcache import MemcacheVersion - -__all__ = ( - 'CloudMemcacheAsyncClient', -'ApplyParametersRequest', -'ApplySoftwareUpdateRequest', -'CloudMemcacheClient', -'CreateInstanceRequest', -'DeleteInstanceRequest', -'GetInstanceRequest', -'Instance', -'ListInstancesRequest', -'ListInstancesResponse', -'LocationMetadata', -'MemcacheParameters', -'MemcacheVersion', -'OperationMetadata', -'UpdateInstanceRequest', -'UpdateParametersRequest', -'ZoneMetadata', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json deleted file mode 100644 index 288ef89..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json +++ /dev/null @@ -1,103 +0,0 @@ - { - "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", - "language": "python", - "libraryPackage": "google.cloud.memcache_v1beta2", - "protoPackage": "google.cloud.memcache.v1beta2", - "schema": "1.0", - "services": { - "CloudMemcache": { - "clients": { - "grpc": { - "libraryClient": "CloudMemcacheClient", - "rpcs": { - "ApplyParameters": { - "methods": [ - "apply_parameters" - ] - }, - "ApplySoftwareUpdate": { - "methods": [ - "apply_software_update" - ] - }, - "CreateInstance": { - "methods": [ - "create_instance" - ] - }, - "DeleteInstance": { - "methods": [ - "delete_instance" - ] - }, - "GetInstance": { - "methods": [ - "get_instance" - ] - }, - "ListInstances": { - "methods": [ - "list_instances" - ] - }, - "UpdateInstance": { - "methods": [ - "update_instance" - ] - }, - "UpdateParameters": { - "methods": [ - "update_parameters" - ] - } - } - }, - "grpc-async": { - "libraryClient": "CloudMemcacheAsyncClient", - "rpcs": { - "ApplyParameters": { - "methods": [ - "apply_parameters" - ] - }, - "ApplySoftwareUpdate": { - "methods": [ - "apply_software_update" - ] - }, - "CreateInstance": { - "methods": [ - "create_instance" - ] - }, - "DeleteInstance": { - "methods": [ - "delete_instance" - ] - }, - "GetInstance": { - "methods": [ - "get_instance" - ] - }, - "ListInstances": { - "methods": [ - "list_instances" - ] - }, - "UpdateInstance": { - "methods": [ - "update_instance" - ] - }, - "UpdateParameters": { - "methods": [ - "update_parameters" - ] - } - } - } - } - } - } -} diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed deleted file mode 100644 index 7959cf4..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed +++ /dev/null @@ -1,2 +0,0 @@ -# Marker file for PEP 561. -# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py deleted file mode 100644 index e8e1c38..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py deleted file mode 100644 index a7034a9..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py +++ /dev/null @@ -1,22 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from .client import CloudMemcacheClient -from .async_client import CloudMemcacheAsyncClient - -__all__ = ( - 'CloudMemcacheClient', - 'CloudMemcacheAsyncClient', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py deleted file mode 100644 index aa2f888..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py +++ /dev/null @@ -1,1227 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -import functools -import re -from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union -import pkg_resources - -from google.api_core.client_options import ClientOptions -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.auth import credentials as ga_credentials # type: ignore -from google.oauth2 import service_account # type: ignore - -try: - OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] -except AttributeError: # pragma: NO COVER - OptionalRetry = Union[retries.Retry, object] # type: ignore - -from google.api_core import operation # type: ignore -from google.api_core import operation_async # type: ignore -from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.protobuf import empty_pb2 # type: ignore -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport -from .client import CloudMemcacheClient - - -class CloudMemcacheAsyncClient: - """Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - """ - - _client: CloudMemcacheClient - - DEFAULT_ENDPOINT = CloudMemcacheClient.DEFAULT_ENDPOINT - DEFAULT_MTLS_ENDPOINT = CloudMemcacheClient.DEFAULT_MTLS_ENDPOINT - - instance_path = staticmethod(CloudMemcacheClient.instance_path) - parse_instance_path = staticmethod(CloudMemcacheClient.parse_instance_path) - common_billing_account_path = staticmethod(CloudMemcacheClient.common_billing_account_path) - parse_common_billing_account_path = staticmethod(CloudMemcacheClient.parse_common_billing_account_path) - common_folder_path = staticmethod(CloudMemcacheClient.common_folder_path) - parse_common_folder_path = staticmethod(CloudMemcacheClient.parse_common_folder_path) - common_organization_path = staticmethod(CloudMemcacheClient.common_organization_path) - parse_common_organization_path = staticmethod(CloudMemcacheClient.parse_common_organization_path) - common_project_path = staticmethod(CloudMemcacheClient.common_project_path) - parse_common_project_path = staticmethod(CloudMemcacheClient.parse_common_project_path) - common_location_path = staticmethod(CloudMemcacheClient.common_location_path) - parse_common_location_path = staticmethod(CloudMemcacheClient.parse_common_location_path) - - @classmethod - def from_service_account_info(cls, info: dict, *args, **kwargs): - """Creates an instance of this client using the provided credentials - info. - - Args: - info (dict): The service account private key info. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheAsyncClient: The constructed client. - """ - return CloudMemcacheClient.from_service_account_info.__func__(CloudMemcacheAsyncClient, info, *args, **kwargs) # type: ignore - - @classmethod - def from_service_account_file(cls, filename: str, *args, **kwargs): - """Creates an instance of this client using the provided credentials - file. - - Args: - filename (str): The path to the service account private key json - file. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheAsyncClient: The constructed client. - """ - return CloudMemcacheClient.from_service_account_file.__func__(CloudMemcacheAsyncClient, filename, *args, **kwargs) # type: ignore - - from_service_account_json = from_service_account_file - - @classmethod - def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): - """Return the API endpoint and client cert source for mutual TLS. - - The client cert source is determined in the following order: - (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the - client cert source is None. - (2) if `client_options.client_cert_source` is provided, use the provided one; if the - default client cert source exists, use the default one; otherwise the client cert - source is None. - - The API endpoint is determined in the following order: - (1) if `client_options.api_endpoint` if provided, use the provided one. - (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the - default mTLS endpoint; if the environment variabel is "never", use the default API - endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise - use the default API endpoint. - - More details can be found at https://google.aip.dev/auth/4114. - - Args: - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. Only the `api_endpoint` and `client_cert_source` properties may be used - in this method. - - Returns: - Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the - client cert source to use. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If any errors happen. - """ - return CloudMemcacheClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore - - @property - def transport(self) -> CloudMemcacheTransport: - """Returns the transport used by the client instance. - - Returns: - CloudMemcacheTransport: The transport used by the client instance. - """ - return self._client.transport - - get_transport_class = functools.partial(type(CloudMemcacheClient).get_transport_class, type(CloudMemcacheClient)) - - def __init__(self, *, - credentials: ga_credentials.Credentials = None, - transport: Union[str, CloudMemcacheTransport] = "grpc_asyncio", - client_options: ClientOptions = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - ) -> None: - """Instantiates the cloud memcache client. - - Args: - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - transport (Union[str, ~.CloudMemcacheTransport]): The - transport to use. If set to None, a transport is chosen - automatically. - client_options (ClientOptions): Custom options for the client. It - won't take effect if a ``transport`` instance is provided. - (1) The ``api_endpoint`` property can be used to override the - default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT - environment variable can also be used to override the endpoint: - "always" (always use the default mTLS endpoint), "never" (always - use the default regular endpoint) and "auto" (auto switch to the - default mTLS endpoint if client certificate is present, this is - the default value). However, the ``api_endpoint`` property takes - precedence if provided. - (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable - is "true", then the ``client_cert_source`` property can be used - to provide client certificate for mutual TLS transport. If - not provided, the default SSL client certificate will be used if - present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not - set, no client certificate will be used. - - Raises: - google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport - creation failed for any reason. - """ - self._client = CloudMemcacheClient( - credentials=credentials, - transport=transport, - client_options=client_options, - client_info=client_info, - - ) - - async def list_instances(self, - request: Union[cloud_memcache.ListInstancesRequest, dict] = None, - *, - parent: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> pagers.ListInstancesAsyncPager: - r"""Lists Instances in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_list_instances(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - async for response in page_result: - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ListInstancesRequest, dict]): - The request object. Request for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - parent (:class:`str`): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1beta2.services.cloud_memcache.pagers.ListInstancesAsyncPager: - Response for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - - Iterating over this object will yield results and - resolve additional pages automatically. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.ListInstancesRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.list_instances, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # This method is paged; wrap the response in a pager, which provides - # an `__aiter__` convenience method. - response = pagers.ListInstancesAsyncPager( - method=rpc, - request=request, - response=response, - metadata=metadata, - ) - - # Done; return the response. - return response - - async def get_instance(self, - request: Union[cloud_memcache.GetInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> cloud_memcache.Instance: - r"""Gets details of a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_get_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = await client.get_instance(request=request) - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.GetInstanceRequest, dict]): - The request object. Request for - [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. - name (:class:`str`): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1beta2.types.Instance: - A Memorystore for Memcached instance - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.GetInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.get_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Done; return the response. - return response - - async def create_instance(self, - request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, - *, - parent: str = None, - instance_id: str = None, - resource: cloud_memcache.Instance = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Creates a new Instance in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_create_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - resource=resource, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.CreateInstanceRequest, dict]): - The request object. Request for - [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. - parent (:class:`str`): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance_id (:class:`str`): - Required. The logical name of the Memcached instance in - the user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location. - - If any of the above are not met, the API raises an - invalid argument error. - - This corresponds to the ``instance_id`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - resource (:class:`google.cloud.memcache_v1beta2.types.Instance`): - Required. A Memcached [Instance] resource - This corresponds to the ``resource`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent, instance_id, resource]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.CreateInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - if instance_id is not None: - request.instance_id = instance_id - if resource is not None: - request.resource = resource - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.create_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def update_instance(self, - request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, - *, - update_mask: field_mask_pb2.FieldMask = None, - resource: cloud_memcache.Instance = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Updates an existing Instance in a given project and - location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_update_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.UpdateInstanceRequest( - resource=resource, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.UpdateInstanceRequest, dict]): - The request object. Request for - [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. - update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): - Required. Mask of fields to update. - - - ``displayName`` - - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - resource (:class:`google.cloud.memcache_v1beta2.types.Instance`): - Required. A Memcached [Instance] resource. Only fields - specified in update_mask are updated. - - This corresponds to the ``resource`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([update_mask, resource]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.UpdateInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if update_mask is not None: - request.update_mask = update_mask - if resource is not None: - request.resource = resource - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.update_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("resource.name", request.resource.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def update_parameters(self, - request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, - *, - name: str = None, - update_mask: field_mask_pb2.FieldMask = None, - parameters: cloud_memcache.MemcacheParameters = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Updates the defined Memcached parameters for an existing - instance. This method only stages the parameters, it must be - followed by ``ApplyParameters`` to apply the parameters to nodes - of the Memcached instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_update_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.UpdateParametersRequest, dict]): - The request object. Request for - [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. - name (:class:`str`): - Required. Resource name of the - Memcached instance for which the - parameters should be updated. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): - Required. Mask of fields to update. - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - parameters (:class:`google.cloud.memcache_v1beta2.types.MemcacheParameters`): - The parameters to apply to the - instance. - - This corresponds to the ``parameters`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, update_mask, parameters]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.UpdateParametersRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if update_mask is not None: - request.update_mask = update_mask - if parameters is not None: - request.parameters = parameters - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.update_parameters, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def delete_instance(self, - request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Deletes a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_delete_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.DeleteInstanceRequest, dict]): - The request object. Request for - [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. - name (:class:`str`): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated - empty messages in your APIs. A typical example is to - use it as the request or the response type of an API - method. For instance: - - service Foo { - rpc Bar(google.protobuf.Empty) returns - (google.protobuf.Empty); - - } - - The JSON representation for Empty is empty JSON - object {}. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.DeleteInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.delete_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - empty_pb2.Empty, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def apply_parameters(self, - request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, - *, - name: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""``ApplyParameters`` restarts the set of specified nodes in order - to update them to the current set of parameters for the - Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_apply_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ApplyParametersRequest, dict]): - The request object. Request for - [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. - name (:class:`str`): - Required. Resource name of the - Memcached instance for which parameter - group updates should be applied. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (:class:`Sequence[str]`): - Nodes to which the instance-level - parameter group is applied. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (:class:`bool`): - Whether to apply instance-level parameter group to all - nodes. If set to true, users are restricted from - specifying individual nodes, and ``ApplyParameters`` - updates all nodes within the instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.ApplyParametersRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if apply_all is not None: - request.apply_all = apply_all - if node_ids: - request.node_ids.extend(node_ids) - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.apply_parameters, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def apply_software_update(self, - request: Union[cloud_memcache.ApplySoftwareUpdateRequest, dict] = None, - *, - instance: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Updates software on the selected nodes of the - Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_apply_software_update(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplySoftwareUpdateRequest( - instance="instance_value", - ) - - # Make the request - operation = client.apply_software_update(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ApplySoftwareUpdateRequest, dict]): - The request object. Request for - [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. - instance (:class:`str`): - Required. Resource name of the - Memcached instance for which software - update should be applied. - - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (:class:`Sequence[str]`): - Nodes to which we should apply the - update to. Note all the selected nodes - are updated in parallel. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (:class:`bool`): - Whether to apply the update to all - nodes. If set to true, will explicitly - restrict users from specifying any - nodes, and apply software update to all - nodes (where applicable) within the - instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([instance, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.ApplySoftwareUpdateRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if instance is not None: - request.instance = instance - if apply_all is not None: - request.apply_all = apply_all - if node_ids: - request.node_ids.extend(node_ids) - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.apply_software_update, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("instance", request.instance), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def __aenter__(self): - return self - - async def __aexit__(self, exc_type, exc, tb): - await self.transport.close() - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - "google-cloud-memcache", - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -__all__ = ( - "CloudMemcacheAsyncClient", -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py deleted file mode 100644 index a39bf67..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py +++ /dev/null @@ -1,1427 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -import os -import re -from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union -import pkg_resources - -from google.api_core import client_options as client_options_lib -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport import mtls # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore -from google.auth.exceptions import MutualTLSChannelError # type: ignore -from google.oauth2 import service_account # type: ignore - -try: - OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] -except AttributeError: # pragma: NO COVER - OptionalRetry = Union[retries.Retry, object] # type: ignore - -from google.api_core import operation # type: ignore -from google.api_core import operation_async # type: ignore -from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.protobuf import empty_pb2 # type: ignore -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .transports.grpc import CloudMemcacheGrpcTransport -from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport - - -class CloudMemcacheClientMeta(type): - """Metaclass for the CloudMemcache client. - - This provides class-level methods for building and retrieving - support objects (e.g. transport) without polluting the client instance - objects. - """ - _transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] - _transport_registry["grpc"] = CloudMemcacheGrpcTransport - _transport_registry["grpc_asyncio"] = CloudMemcacheGrpcAsyncIOTransport - - def get_transport_class(cls, - label: str = None, - ) -> Type[CloudMemcacheTransport]: - """Returns an appropriate transport class. - - Args: - label: The name of the desired transport. If none is - provided, then the first transport in the registry is used. - - Returns: - The transport class to use. - """ - # If a specific transport is requested, return that one. - if label: - return cls._transport_registry[label] - - # No transport is requested; return the default (that is, the first one - # in the dictionary). - return next(iter(cls._transport_registry.values())) - - -class CloudMemcacheClient(metaclass=CloudMemcacheClientMeta): - """Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - """ - - @staticmethod - def _get_default_mtls_endpoint(api_endpoint): - """Converts api endpoint to mTLS endpoint. - - Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to - "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. - Args: - api_endpoint (Optional[str]): the api endpoint to convert. - Returns: - str: converted mTLS api endpoint. - """ - if not api_endpoint: - return api_endpoint - - mtls_endpoint_re = re.compile( - r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" - ) - - m = mtls_endpoint_re.match(api_endpoint) - name, mtls, sandbox, googledomain = m.groups() - if mtls or not googledomain: - return api_endpoint - - if sandbox: - return api_endpoint.replace( - "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" - ) - - return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") - - DEFAULT_ENDPOINT = "memcache.googleapis.com" - DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore - DEFAULT_ENDPOINT - ) - - @classmethod - def from_service_account_info(cls, info: dict, *args, **kwargs): - """Creates an instance of this client using the provided credentials - info. - - Args: - info (dict): The service account private key info. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheClient: The constructed client. - """ - credentials = service_account.Credentials.from_service_account_info(info) - kwargs["credentials"] = credentials - return cls(*args, **kwargs) - - @classmethod - def from_service_account_file(cls, filename: str, *args, **kwargs): - """Creates an instance of this client using the provided credentials - file. - - Args: - filename (str): The path to the service account private key json - file. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheClient: The constructed client. - """ - credentials = service_account.Credentials.from_service_account_file( - filename) - kwargs["credentials"] = credentials - return cls(*args, **kwargs) - - from_service_account_json = from_service_account_file - - @property - def transport(self) -> CloudMemcacheTransport: - """Returns the transport used by the client instance. - - Returns: - CloudMemcacheTransport: The transport used by the client - instance. - """ - return self._transport - - @staticmethod - def instance_path(project: str,location: str,instance: str,) -> str: - """Returns a fully-qualified instance string.""" - return "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) - - @staticmethod - def parse_instance_path(path: str) -> Dict[str,str]: - """Parses a instance path into its component segments.""" - m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/instances/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_billing_account_path(billing_account: str, ) -> str: - """Returns a fully-qualified billing_account string.""" - return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) - - @staticmethod - def parse_common_billing_account_path(path: str) -> Dict[str,str]: - """Parse a billing_account path into its component segments.""" - m = re.match(r"^billingAccounts/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_folder_path(folder: str, ) -> str: - """Returns a fully-qualified folder string.""" - return "folders/{folder}".format(folder=folder, ) - - @staticmethod - def parse_common_folder_path(path: str) -> Dict[str,str]: - """Parse a folder path into its component segments.""" - m = re.match(r"^folders/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_organization_path(organization: str, ) -> str: - """Returns a fully-qualified organization string.""" - return "organizations/{organization}".format(organization=organization, ) - - @staticmethod - def parse_common_organization_path(path: str) -> Dict[str,str]: - """Parse a organization path into its component segments.""" - m = re.match(r"^organizations/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_project_path(project: str, ) -> str: - """Returns a fully-qualified project string.""" - return "projects/{project}".format(project=project, ) - - @staticmethod - def parse_common_project_path(path: str) -> Dict[str,str]: - """Parse a project path into its component segments.""" - m = re.match(r"^projects/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_location_path(project: str, location: str, ) -> str: - """Returns a fully-qualified location string.""" - return "projects/{project}/locations/{location}".format(project=project, location=location, ) - - @staticmethod - def parse_common_location_path(path: str) -> Dict[str,str]: - """Parse a location path into its component segments.""" - m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) - return m.groupdict() if m else {} - - @classmethod - def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): - """Return the API endpoint and client cert source for mutual TLS. - - The client cert source is determined in the following order: - (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the - client cert source is None. - (2) if `client_options.client_cert_source` is provided, use the provided one; if the - default client cert source exists, use the default one; otherwise the client cert - source is None. - - The API endpoint is determined in the following order: - (1) if `client_options.api_endpoint` if provided, use the provided one. - (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the - default mTLS endpoint; if the environment variabel is "never", use the default API - endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise - use the default API endpoint. - - More details can be found at https://google.aip.dev/auth/4114. - - Args: - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. Only the `api_endpoint` and `client_cert_source` properties may be used - in this method. - - Returns: - Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the - client cert source to use. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If any errors happen. - """ - if client_options is None: - client_options = client_options_lib.ClientOptions() - use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") - use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") - if use_client_cert not in ("true", "false"): - raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") - if use_mtls_endpoint not in ("auto", "never", "always"): - raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") - - # Figure out the client cert source to use. - client_cert_source = None - if use_client_cert == "true": - if client_options.client_cert_source: - client_cert_source = client_options.client_cert_source - elif mtls.has_default_client_cert_source(): - client_cert_source = mtls.default_client_cert_source() - - # Figure out which api endpoint to use. - if client_options.api_endpoint is not None: - api_endpoint = client_options.api_endpoint - elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): - api_endpoint = cls.DEFAULT_MTLS_ENDPOINT - else: - api_endpoint = cls.DEFAULT_ENDPOINT - - return api_endpoint, client_cert_source - - def __init__(self, *, - credentials: Optional[ga_credentials.Credentials] = None, - transport: Union[str, CloudMemcacheTransport, None] = None, - client_options: Optional[client_options_lib.ClientOptions] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - ) -> None: - """Instantiates the cloud memcache client. - - Args: - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - transport (Union[str, CloudMemcacheTransport]): The - transport to use. If set to None, a transport is chosen - automatically. - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. It won't take effect if a ``transport`` instance is provided. - (1) The ``api_endpoint`` property can be used to override the - default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT - environment variable can also be used to override the endpoint: - "always" (always use the default mTLS endpoint), "never" (always - use the default regular endpoint) and "auto" (auto switch to the - default mTLS endpoint if client certificate is present, this is - the default value). However, the ``api_endpoint`` property takes - precedence if provided. - (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable - is "true", then the ``client_cert_source`` property can be used - to provide client certificate for mutual TLS transport. If - not provided, the default SSL client certificate will be used if - present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not - set, no client certificate will be used. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport - creation failed for any reason. - """ - if isinstance(client_options, dict): - client_options = client_options_lib.from_dict(client_options) - if client_options is None: - client_options = client_options_lib.ClientOptions() - - api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(client_options) - - api_key_value = getattr(client_options, "api_key", None) - if api_key_value and credentials: - raise ValueError("client_options.api_key and credentials are mutually exclusive") - - # Save or instantiate the transport. - # Ordinarily, we provide the transport, but allowing a custom transport - # instance provides an extensibility point for unusual situations. - if isinstance(transport, CloudMemcacheTransport): - # transport is a CloudMemcacheTransport instance. - if credentials or client_options.credentials_file or api_key_value: - raise ValueError("When providing a transport instance, " - "provide its credentials directly.") - if client_options.scopes: - raise ValueError( - "When providing a transport instance, provide its scopes " - "directly." - ) - self._transport = transport - else: - import google.auth._default # type: ignore - - if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): - credentials = google.auth._default.get_api_key_credentials(api_key_value) - - Transport = type(self).get_transport_class(transport) - self._transport = Transport( - credentials=credentials, - credentials_file=client_options.credentials_file, - host=api_endpoint, - scopes=client_options.scopes, - client_cert_source_for_mtls=client_cert_source_func, - quota_project_id=client_options.quota_project_id, - client_info=client_info, - always_use_jwt_access=True, - api_audience=client_options.api_audience, - ) - - def list_instances(self, - request: Union[cloud_memcache.ListInstancesRequest, dict] = None, - *, - parent: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> pagers.ListInstancesPager: - r"""Lists Instances in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_list_instances(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - for response in page_result: - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ListInstancesRequest, dict]): - The request object. Request for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - parent (str): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1beta2.services.cloud_memcache.pagers.ListInstancesPager: - Response for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - - Iterating over this object will yield results and - resolve additional pages automatically. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.ListInstancesRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.ListInstancesRequest): - request = cloud_memcache.ListInstancesRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.list_instances] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # This method is paged; wrap the response in a pager, which provides - # an `__iter__` convenience method. - response = pagers.ListInstancesPager( - method=rpc, - request=request, - response=response, - metadata=metadata, - ) - - # Done; return the response. - return response - - def get_instance(self, - request: Union[cloud_memcache.GetInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> cloud_memcache.Instance: - r"""Gets details of a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_get_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = client.get_instance(request=request) - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.GetInstanceRequest, dict]): - The request object. Request for - [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. - name (str): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1beta2.types.Instance: - A Memorystore for Memcached instance - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.GetInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.GetInstanceRequest): - request = cloud_memcache.GetInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.get_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Done; return the response. - return response - - def create_instance(self, - request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, - *, - parent: str = None, - instance_id: str = None, - resource: cloud_memcache.Instance = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Creates a new Instance in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_create_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - resource=resource, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.CreateInstanceRequest, dict]): - The request object. Request for - [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. - parent (str): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance_id (str): - Required. The logical name of the Memcached instance in - the user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location. - - If any of the above are not met, the API raises an - invalid argument error. - - This corresponds to the ``instance_id`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - resource (google.cloud.memcache_v1beta2.types.Instance): - Required. A Memcached [Instance] resource - This corresponds to the ``resource`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent, instance_id, resource]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.CreateInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.CreateInstanceRequest): - request = cloud_memcache.CreateInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - if instance_id is not None: - request.instance_id = instance_id - if resource is not None: - request.resource = resource - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.create_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def update_instance(self, - request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, - *, - update_mask: field_mask_pb2.FieldMask = None, - resource: cloud_memcache.Instance = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Updates an existing Instance in a given project and - location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_update_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.UpdateInstanceRequest( - resource=resource, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.UpdateInstanceRequest, dict]): - The request object. Request for - [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - - - ``displayName`` - - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - resource (google.cloud.memcache_v1beta2.types.Instance): - Required. A Memcached [Instance] resource. Only fields - specified in update_mask are updated. - - This corresponds to the ``resource`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([update_mask, resource]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.UpdateInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.UpdateInstanceRequest): - request = cloud_memcache.UpdateInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if update_mask is not None: - request.update_mask = update_mask - if resource is not None: - request.resource = resource - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.update_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("resource.name", request.resource.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def update_parameters(self, - request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, - *, - name: str = None, - update_mask: field_mask_pb2.FieldMask = None, - parameters: cloud_memcache.MemcacheParameters = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Updates the defined Memcached parameters for an existing - instance. This method only stages the parameters, it must be - followed by ``ApplyParameters`` to apply the parameters to nodes - of the Memcached instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_update_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.UpdateParametersRequest, dict]): - The request object. Request for - [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. - name (str): - Required. Resource name of the - Memcached instance for which the - parameters should be updated. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): - The parameters to apply to the - instance. - - This corresponds to the ``parameters`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, update_mask, parameters]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.UpdateParametersRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.UpdateParametersRequest): - request = cloud_memcache.UpdateParametersRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if update_mask is not None: - request.update_mask = update_mask - if parameters is not None: - request.parameters = parameters - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.update_parameters] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def delete_instance(self, - request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Deletes a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_delete_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.DeleteInstanceRequest, dict]): - The request object. Request for - [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. - name (str): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated - empty messages in your APIs. A typical example is to - use it as the request or the response type of an API - method. For instance: - - service Foo { - rpc Bar(google.protobuf.Empty) returns - (google.protobuf.Empty); - - } - - The JSON representation for Empty is empty JSON - object {}. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.DeleteInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.DeleteInstanceRequest): - request = cloud_memcache.DeleteInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.delete_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - empty_pb2.Empty, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def apply_parameters(self, - request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, - *, - name: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""``ApplyParameters`` restarts the set of specified nodes in order - to update them to the current set of parameters for the - Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_apply_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ApplyParametersRequest, dict]): - The request object. Request for - [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. - name (str): - Required. Resource name of the - Memcached instance for which parameter - group updates should be applied. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (Sequence[str]): - Nodes to which the instance-level - parameter group is applied. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (bool): - Whether to apply instance-level parameter group to all - nodes. If set to true, users are restricted from - specifying individual nodes, and ``ApplyParameters`` - updates all nodes within the instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.ApplyParametersRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.ApplyParametersRequest): - request = cloud_memcache.ApplyParametersRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if node_ids is not None: - request.node_ids = node_ids - if apply_all is not None: - request.apply_all = apply_all - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.apply_parameters] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def apply_software_update(self, - request: Union[cloud_memcache.ApplySoftwareUpdateRequest, dict] = None, - *, - instance: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Updates software on the selected nodes of the - Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_apply_software_update(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplySoftwareUpdateRequest( - instance="instance_value", - ) - - # Make the request - operation = client.apply_software_update(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ApplySoftwareUpdateRequest, dict]): - The request object. Request for - [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. - instance (str): - Required. Resource name of the - Memcached instance for which software - update should be applied. - - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (Sequence[str]): - Nodes to which we should apply the - update to. Note all the selected nodes - are updated in parallel. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (bool): - Whether to apply the update to all - nodes. If set to true, will explicitly - restrict users from specifying any - nodes, and apply software update to all - nodes (where applicable) within the - instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([instance, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.ApplySoftwareUpdateRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.ApplySoftwareUpdateRequest): - request = cloud_memcache.ApplySoftwareUpdateRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if instance is not None: - request.instance = instance - if node_ids is not None: - request.node_ids = node_ids - if apply_all is not None: - request.apply_all = apply_all - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.apply_software_update] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("instance", request.instance), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def __enter__(self): - return self - - def __exit__(self, type, value, traceback): - """Releases underlying transport's resources. - - .. warning:: - ONLY use as a context manager if the transport is NOT shared - with other clients! Exiting the with block will CLOSE the transport - and may cause errors in other clients! - """ - self.transport.close() - - - - - - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - "google-cloud-memcache", - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -__all__ = ( - "CloudMemcacheClient", -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py deleted file mode 100644 index 79e396b..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py +++ /dev/null @@ -1,139 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator - -from google.cloud.memcache_v1beta2.types import cloud_memcache - - -class ListInstancesPager: - """A pager for iterating through ``list_instances`` requests. - - This class thinly wraps an initial - :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` object, and - provides an ``__iter__`` method to iterate through its - ``resources`` field. - - If there are more pages, the ``__iter__`` method will make additional - ``ListInstances`` requests and continue to iterate - through the ``resources`` field on the - corresponding responses. - - All the usual :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` - attributes are available on the pager. If multiple requests are made, only - the most recent response is retained, and thus used for attribute lookup. - """ - def __init__(self, - method: Callable[..., cloud_memcache.ListInstancesResponse], - request: cloud_memcache.ListInstancesRequest, - response: cloud_memcache.ListInstancesResponse, - *, - metadata: Sequence[Tuple[str, str]] = ()): - """Instantiate the pager. - - Args: - method (Callable): The method that was originally called, and - which instantiated this pager. - request (google.cloud.memcache_v1beta2.types.ListInstancesRequest): - The initial request object. - response (google.cloud.memcache_v1beta2.types.ListInstancesResponse): - The initial response object. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - """ - self._method = method - self._request = cloud_memcache.ListInstancesRequest(request) - self._response = response - self._metadata = metadata - - def __getattr__(self, name: str) -> Any: - return getattr(self._response, name) - - @property - def pages(self) -> Iterator[cloud_memcache.ListInstancesResponse]: - yield self._response - while self._response.next_page_token: - self._request.page_token = self._response.next_page_token - self._response = self._method(self._request, metadata=self._metadata) - yield self._response - - def __iter__(self) -> Iterator[cloud_memcache.Instance]: - for page in self.pages: - yield from page.resources - - def __repr__(self) -> str: - return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) - - -class ListInstancesAsyncPager: - """A pager for iterating through ``list_instances`` requests. - - This class thinly wraps an initial - :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` object, and - provides an ``__aiter__`` method to iterate through its - ``resources`` field. - - If there are more pages, the ``__aiter__`` method will make additional - ``ListInstances`` requests and continue to iterate - through the ``resources`` field on the - corresponding responses. - - All the usual :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` - attributes are available on the pager. If multiple requests are made, only - the most recent response is retained, and thus used for attribute lookup. - """ - def __init__(self, - method: Callable[..., Awaitable[cloud_memcache.ListInstancesResponse]], - request: cloud_memcache.ListInstancesRequest, - response: cloud_memcache.ListInstancesResponse, - *, - metadata: Sequence[Tuple[str, str]] = ()): - """Instantiates the pager. - - Args: - method (Callable): The method that was originally called, and - which instantiated this pager. - request (google.cloud.memcache_v1beta2.types.ListInstancesRequest): - The initial request object. - response (google.cloud.memcache_v1beta2.types.ListInstancesResponse): - The initial response object. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - """ - self._method = method - self._request = cloud_memcache.ListInstancesRequest(request) - self._response = response - self._metadata = metadata - - def __getattr__(self, name: str) -> Any: - return getattr(self._response, name) - - @property - async def pages(self) -> AsyncIterator[cloud_memcache.ListInstancesResponse]: - yield self._response - while self._response.next_page_token: - self._request.page_token = self._response.next_page_token - self._response = await self._method(self._request, metadata=self._metadata) - yield self._response - def __aiter__(self) -> AsyncIterator[cloud_memcache.Instance]: - async def async_generator(): - async for page in self.pages: - for response in page.resources: - yield response - - return async_generator() - - def __repr__(self) -> str: - return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py deleted file mode 100644 index 6067238..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py +++ /dev/null @@ -1,33 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -from typing import Dict, Type - -from .base import CloudMemcacheTransport -from .grpc import CloudMemcacheGrpcTransport -from .grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport - - -# Compile a registry of transports. -_transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] -_transport_registry['grpc'] = CloudMemcacheGrpcTransport -_transport_registry['grpc_asyncio'] = CloudMemcacheGrpcAsyncIOTransport - -__all__ = ( - 'CloudMemcacheTransport', - 'CloudMemcacheGrpcTransport', - 'CloudMemcacheGrpcAsyncIOTransport', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py deleted file mode 100644 index 2575ee8..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py +++ /dev/null @@ -1,259 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import abc -from typing import Awaitable, Callable, Dict, Optional, Sequence, Union -import pkg_resources - -import google.auth # type: ignore -import google.api_core -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.api_core import operations_v1 -from google.auth import credentials as ga_credentials # type: ignore -from google.oauth2 import service_account # type: ignore - -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - 'google-cloud-memcache', - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -class CloudMemcacheTransport(abc.ABC): - """Abstract transport class for CloudMemcache.""" - - AUTH_SCOPES = ( - 'https://www.googleapis.com/auth/cloud-platform', - ) - - DEFAULT_HOST: str = 'memcache.googleapis.com' - def __init__( - self, *, - host: str = DEFAULT_HOST, - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - **kwargs, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is mutually exclusive with credentials. - scopes (Optional[Sequence[str]]): A list of scopes. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - """ - - scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} - - # Save the scopes. - self._scopes = scopes - - # If no credentials are provided, then determine the appropriate - # defaults. - if credentials and credentials_file: - raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") - - if credentials_file is not None: - credentials, _ = google.auth.load_credentials_from_file( - credentials_file, - **scopes_kwargs, - quota_project_id=quota_project_id - ) - elif credentials is None: - credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) - # Don't apply audience if the credentials file passed from user. - if hasattr(credentials, "with_gdch_audience"): - credentials = credentials.with_gdch_audience(api_audience if api_audience else host) - - # If the credentials are service account credentials, then always try to use self signed JWT. - if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): - credentials = credentials.with_always_use_jwt_access(True) - - # Save the credentials. - self._credentials = credentials - - # Save the hostname. Default to port 443 (HTTPS) if none is specified. - if ':' not in host: - host += ':443' - self._host = host - - def _prep_wrapped_messages(self, client_info): - # Precompute the wrapped methods. - self._wrapped_methods = { - self.list_instances: gapic_v1.method.wrap_method( - self.list_instances, - default_timeout=1200.0, - client_info=client_info, - ), - self.get_instance: gapic_v1.method.wrap_method( - self.get_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.create_instance: gapic_v1.method.wrap_method( - self.create_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.update_instance: gapic_v1.method.wrap_method( - self.update_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.update_parameters: gapic_v1.method.wrap_method( - self.update_parameters, - default_timeout=1200.0, - client_info=client_info, - ), - self.delete_instance: gapic_v1.method.wrap_method( - self.delete_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.apply_parameters: gapic_v1.method.wrap_method( - self.apply_parameters, - default_timeout=1200.0, - client_info=client_info, - ), - self.apply_software_update: gapic_v1.method.wrap_method( - self.apply_software_update, - default_timeout=1200.0, - client_info=client_info, - ), - } - - def close(self): - """Closes resources associated with the transport. - - .. warning:: - Only call this method if the transport is NOT shared - with other clients - this may cause errors in other clients! - """ - raise NotImplementedError() - - @property - def operations_client(self): - """Return the client designed to process long-running operations.""" - raise NotImplementedError() - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - Union[ - cloud_memcache.ListInstancesResponse, - Awaitable[cloud_memcache.ListInstancesResponse] - ]]: - raise NotImplementedError() - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - Union[ - cloud_memcache.Instance, - Awaitable[cloud_memcache.Instance] - ]]: - raise NotImplementedError() - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def apply_software_update(self) -> Callable[ - [cloud_memcache.ApplySoftwareUpdateRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def kind(self) -> str: - raise NotImplementedError() - - -__all__ = ( - 'CloudMemcacheTransport', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py deleted file mode 100644 index f9fb1bd..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py +++ /dev/null @@ -1,490 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import warnings -from typing import Callable, Dict, Optional, Sequence, Tuple, Union - -from google.api_core import grpc_helpers -from google.api_core import operations_v1 -from google.api_core import gapic_v1 -import google.auth # type: ignore -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore - -import grpc # type: ignore - -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore -from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO - - -class CloudMemcacheGrpcTransport(CloudMemcacheTransport): - """gRPC backend transport for CloudMemcache. - - Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - - This class defines the same methods as the primary client, so the - primary client can load the underlying transport implementation - and call it. - - It sends protocol buffers over the wire using gRPC (which is built on - top of HTTP/2); the ``grpcio`` package must be installed. - """ - _stubs: Dict[str, Callable] - - def __init__(self, *, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: str = None, - scopes: Sequence[str] = None, - channel: grpc.Channel = None, - api_mtls_endpoint: str = None, - client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, - ssl_channel_credentials: grpc.ChannelCredentials = None, - client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, - quota_project_id: Optional[str] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - This argument is ignored if ``channel`` is provided. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional(Sequence[str])): A list of scopes. This argument is - ignored if ``channel`` is provided. - channel (Optional[grpc.Channel]): A ``Channel`` instance through - which to make calls. - api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. - If provided, it overrides the ``host`` argument and tries to create - a mutual TLS channel with client SSL credentials from - ``client_cert_source`` or application default SSL credentials. - client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): - Deprecated. A callback to provide client SSL certificate bytes and - private key bytes, both in PEM format. It is ignored if - ``api_mtls_endpoint`` is None. - ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials - for the grpc channel. It is ignored if ``channel`` is provided. - client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): - A callback to provide client certificate bytes and private key bytes, - both in PEM format. It is used to configure a mutual TLS channel. It is - ignored if ``channel`` or ``ssl_channel_credentials`` is provided. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport - creation failed for any reason. - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - self._grpc_channel = None - self._ssl_channel_credentials = ssl_channel_credentials - self._stubs: Dict[str, Callable] = {} - self._operations_client: Optional[operations_v1.OperationsClient] = None - - if api_mtls_endpoint: - warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) - if client_cert_source: - warnings.warn("client_cert_source is deprecated", DeprecationWarning) - - if channel: - # Ignore credentials if a channel was passed. - credentials = False - # If a channel was explicitly provided, set it. - self._grpc_channel = channel - self._ssl_channel_credentials = None - - else: - if api_mtls_endpoint: - host = api_mtls_endpoint - - # Create SSL credentials with client_cert_source or application - # default SSL credentials. - if client_cert_source: - cert, key = client_cert_source() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - else: - self._ssl_channel_credentials = SslCredentials().ssl_credentials - - else: - if client_cert_source_for_mtls and not ssl_channel_credentials: - cert, key = client_cert_source_for_mtls() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - - # The base transport sets the host, credentials and scopes - super().__init__( - host=host, - credentials=credentials, - credentials_file=credentials_file, - scopes=scopes, - quota_project_id=quota_project_id, - client_info=client_info, - always_use_jwt_access=always_use_jwt_access, - api_audience=api_audience, - ) - - if not self._grpc_channel: - self._grpc_channel = type(self).create_channel( - self._host, - # use the credentials which are saved - credentials=self._credentials, - # Set ``credentials_file`` to ``None`` here as - # the credentials that we saved earlier should be used. - credentials_file=None, - scopes=self._scopes, - ssl_credentials=self._ssl_channel_credentials, - quota_project_id=quota_project_id, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Wrap messages. This must be done after self._grpc_channel exists - self._prep_wrapped_messages(client_info) - - @classmethod - def create_channel(cls, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: str = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - **kwargs) -> grpc.Channel: - """Create and return a gRPC channel object. - Args: - host (Optional[str]): The host for the channel to use. - credentials (Optional[~.Credentials]): The - authorization credentials to attach to requests. These - credentials identify this application to the service. If - none are specified, the client will attempt to ascertain - the credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is mutually exclusive with credentials. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - kwargs (Optional[dict]): Keyword arguments, which are passed to the - channel creation. - Returns: - grpc.Channel: A gRPC channel object. - - Raises: - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - - return grpc_helpers.create_channel( - host, - credentials=credentials, - credentials_file=credentials_file, - quota_project_id=quota_project_id, - default_scopes=cls.AUTH_SCOPES, - scopes=scopes, - default_host=cls.DEFAULT_HOST, - **kwargs - ) - - @property - def grpc_channel(self) -> grpc.Channel: - """Return the channel designed to connect to this service. - """ - return self._grpc_channel - - @property - def operations_client(self) -> operations_v1.OperationsClient: - """Create the client designed to process long-running operations. - - This property caches on the instance; repeated calls return the same - client. - """ - # Quick check: Only create a new client if we do not already have one. - if self._operations_client is None: - self._operations_client = operations_v1.OperationsClient( - self.grpc_channel - ) - - # Return the client from cache. - return self._operations_client - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - cloud_memcache.ListInstancesResponse]: - r"""Return a callable for the list instances method over gRPC. - - Lists Instances in a given location. - - Returns: - Callable[[~.ListInstancesRequest], - ~.ListInstancesResponse]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'list_instances' not in self._stubs: - self._stubs['list_instances'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ListInstances', - request_serializer=cloud_memcache.ListInstancesRequest.serialize, - response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, - ) - return self._stubs['list_instances'] - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - cloud_memcache.Instance]: - r"""Return a callable for the get instance method over gRPC. - - Gets details of a single Instance. - - Returns: - Callable[[~.GetInstanceRequest], - ~.Instance]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'get_instance' not in self._stubs: - self._stubs['get_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/GetInstance', - request_serializer=cloud_memcache.GetInstanceRequest.serialize, - response_deserializer=cloud_memcache.Instance.deserialize, - ) - return self._stubs['get_instance'] - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the create instance method over gRPC. - - Creates a new Instance in a given location. - - Returns: - Callable[[~.CreateInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'create_instance' not in self._stubs: - self._stubs['create_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/CreateInstance', - request_serializer=cloud_memcache.CreateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['create_instance'] - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the update instance method over gRPC. - - Updates an existing Instance in a given project and - location. - - Returns: - Callable[[~.UpdateInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_instance' not in self._stubs: - self._stubs['update_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateInstance', - request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_instance'] - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - operations_pb2.Operation]: - r"""Return a callable for the update parameters method over gRPC. - - Updates the defined Memcached parameters for an existing - instance. This method only stages the parameters, it must be - followed by ``ApplyParameters`` to apply the parameters to nodes - of the Memcached instance. - - Returns: - Callable[[~.UpdateParametersRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_parameters' not in self._stubs: - self._stubs['update_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateParameters', - request_serializer=cloud_memcache.UpdateParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_parameters'] - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the delete instance method over gRPC. - - Deletes a single Instance. - - Returns: - Callable[[~.DeleteInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'delete_instance' not in self._stubs: - self._stubs['delete_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/DeleteInstance', - request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['delete_instance'] - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - operations_pb2.Operation]: - r"""Return a callable for the apply parameters method over gRPC. - - ``ApplyParameters`` restarts the set of specified nodes in order - to update them to the current set of parameters for the - Memcached Instance. - - Returns: - Callable[[~.ApplyParametersRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_parameters' not in self._stubs: - self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ApplyParameters', - request_serializer=cloud_memcache.ApplyParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_parameters'] - - @property - def apply_software_update(self) -> Callable[ - [cloud_memcache.ApplySoftwareUpdateRequest], - operations_pb2.Operation]: - r"""Return a callable for the apply software update method over gRPC. - - Updates software on the selected nodes of the - Instance. - - Returns: - Callable[[~.ApplySoftwareUpdateRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_software_update' not in self._stubs: - self._stubs['apply_software_update'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ApplySoftwareUpdate', - request_serializer=cloud_memcache.ApplySoftwareUpdateRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_software_update'] - - def close(self): - self.grpc_channel.close() - - @property - def kind(self) -> str: - return "grpc" - - -__all__ = ( - 'CloudMemcacheGrpcTransport', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py deleted file mode 100644 index d50bd3a..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py +++ /dev/null @@ -1,489 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import warnings -from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union - -from google.api_core import gapic_v1 -from google.api_core import grpc_helpers_async -from google.api_core import operations_v1 -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore - -import grpc # type: ignore -from grpc.experimental import aio # type: ignore - -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore -from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .grpc import CloudMemcacheGrpcTransport - - -class CloudMemcacheGrpcAsyncIOTransport(CloudMemcacheTransport): - """gRPC AsyncIO backend transport for CloudMemcache. - - Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - - This class defines the same methods as the primary client, so the - primary client can load the underlying transport implementation - and call it. - - It sends protocol buffers over the wire using gRPC (which is built on - top of HTTP/2); the ``grpcio`` package must be installed. - """ - - _grpc_channel: aio.Channel - _stubs: Dict[str, Callable] = {} - - @classmethod - def create_channel(cls, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - **kwargs) -> aio.Channel: - """Create and return a gRPC AsyncIO channel object. - Args: - host (Optional[str]): The host for the channel to use. - credentials (Optional[~.Credentials]): The - authorization credentials to attach to requests. These - credentials identify this application to the service. If - none are specified, the client will attempt to ascertain - the credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - kwargs (Optional[dict]): Keyword arguments, which are passed to the - channel creation. - Returns: - aio.Channel: A gRPC AsyncIO channel object. - """ - - return grpc_helpers_async.create_channel( - host, - credentials=credentials, - credentials_file=credentials_file, - quota_project_id=quota_project_id, - default_scopes=cls.AUTH_SCOPES, - scopes=scopes, - default_host=cls.DEFAULT_HOST, - **kwargs - ) - - def __init__(self, *, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - channel: aio.Channel = None, - api_mtls_endpoint: str = None, - client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, - ssl_channel_credentials: grpc.ChannelCredentials = None, - client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, - quota_project_id=None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - This argument is ignored if ``channel`` is provided. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - channel (Optional[aio.Channel]): A ``Channel`` instance through - which to make calls. - api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. - If provided, it overrides the ``host`` argument and tries to create - a mutual TLS channel with client SSL credentials from - ``client_cert_source`` or application default SSL credentials. - client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): - Deprecated. A callback to provide client SSL certificate bytes and - private key bytes, both in PEM format. It is ignored if - ``api_mtls_endpoint`` is None. - ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials - for the grpc channel. It is ignored if ``channel`` is provided. - client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): - A callback to provide client certificate bytes and private key bytes, - both in PEM format. It is used to configure a mutual TLS channel. It is - ignored if ``channel`` or ``ssl_channel_credentials`` is provided. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - - Raises: - google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport - creation failed for any reason. - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - self._grpc_channel = None - self._ssl_channel_credentials = ssl_channel_credentials - self._stubs: Dict[str, Callable] = {} - self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None - - if api_mtls_endpoint: - warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) - if client_cert_source: - warnings.warn("client_cert_source is deprecated", DeprecationWarning) - - if channel: - # Ignore credentials if a channel was passed. - credentials = False - # If a channel was explicitly provided, set it. - self._grpc_channel = channel - self._ssl_channel_credentials = None - else: - if api_mtls_endpoint: - host = api_mtls_endpoint - - # Create SSL credentials with client_cert_source or application - # default SSL credentials. - if client_cert_source: - cert, key = client_cert_source() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - else: - self._ssl_channel_credentials = SslCredentials().ssl_credentials - - else: - if client_cert_source_for_mtls and not ssl_channel_credentials: - cert, key = client_cert_source_for_mtls() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - - # The base transport sets the host, credentials and scopes - super().__init__( - host=host, - credentials=credentials, - credentials_file=credentials_file, - scopes=scopes, - quota_project_id=quota_project_id, - client_info=client_info, - always_use_jwt_access=always_use_jwt_access, - api_audience=api_audience, - ) - - if not self._grpc_channel: - self._grpc_channel = type(self).create_channel( - self._host, - # use the credentials which are saved - credentials=self._credentials, - # Set ``credentials_file`` to ``None`` here as - # the credentials that we saved earlier should be used. - credentials_file=None, - scopes=self._scopes, - ssl_credentials=self._ssl_channel_credentials, - quota_project_id=quota_project_id, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Wrap messages. This must be done after self._grpc_channel exists - self._prep_wrapped_messages(client_info) - - @property - def grpc_channel(self) -> aio.Channel: - """Create the channel designed to connect to this service. - - This property caches on the instance; repeated calls return - the same channel. - """ - # Return the channel from cache. - return self._grpc_channel - - @property - def operations_client(self) -> operations_v1.OperationsAsyncClient: - """Create the client designed to process long-running operations. - - This property caches on the instance; repeated calls return the same - client. - """ - # Quick check: Only create a new client if we do not already have one. - if self._operations_client is None: - self._operations_client = operations_v1.OperationsAsyncClient( - self.grpc_channel - ) - - # Return the client from cache. - return self._operations_client - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - Awaitable[cloud_memcache.ListInstancesResponse]]: - r"""Return a callable for the list instances method over gRPC. - - Lists Instances in a given location. - - Returns: - Callable[[~.ListInstancesRequest], - Awaitable[~.ListInstancesResponse]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'list_instances' not in self._stubs: - self._stubs['list_instances'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ListInstances', - request_serializer=cloud_memcache.ListInstancesRequest.serialize, - response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, - ) - return self._stubs['list_instances'] - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - Awaitable[cloud_memcache.Instance]]: - r"""Return a callable for the get instance method over gRPC. - - Gets details of a single Instance. - - Returns: - Callable[[~.GetInstanceRequest], - Awaitable[~.Instance]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'get_instance' not in self._stubs: - self._stubs['get_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/GetInstance', - request_serializer=cloud_memcache.GetInstanceRequest.serialize, - response_deserializer=cloud_memcache.Instance.deserialize, - ) - return self._stubs['get_instance'] - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the create instance method over gRPC. - - Creates a new Instance in a given location. - - Returns: - Callable[[~.CreateInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'create_instance' not in self._stubs: - self._stubs['create_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/CreateInstance', - request_serializer=cloud_memcache.CreateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['create_instance'] - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the update instance method over gRPC. - - Updates an existing Instance in a given project and - location. - - Returns: - Callable[[~.UpdateInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_instance' not in self._stubs: - self._stubs['update_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateInstance', - request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_instance'] - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the update parameters method over gRPC. - - Updates the defined Memcached parameters for an existing - instance. This method only stages the parameters, it must be - followed by ``ApplyParameters`` to apply the parameters to nodes - of the Memcached instance. - - Returns: - Callable[[~.UpdateParametersRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_parameters' not in self._stubs: - self._stubs['update_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateParameters', - request_serializer=cloud_memcache.UpdateParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_parameters'] - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the delete instance method over gRPC. - - Deletes a single Instance. - - Returns: - Callable[[~.DeleteInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'delete_instance' not in self._stubs: - self._stubs['delete_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/DeleteInstance', - request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['delete_instance'] - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the apply parameters method over gRPC. - - ``ApplyParameters`` restarts the set of specified nodes in order - to update them to the current set of parameters for the - Memcached Instance. - - Returns: - Callable[[~.ApplyParametersRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_parameters' not in self._stubs: - self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ApplyParameters', - request_serializer=cloud_memcache.ApplyParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_parameters'] - - @property - def apply_software_update(self) -> Callable[ - [cloud_memcache.ApplySoftwareUpdateRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the apply software update method over gRPC. - - Updates software on the selected nodes of the - Instance. - - Returns: - Callable[[~.ApplySoftwareUpdateRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_software_update' not in self._stubs: - self._stubs['apply_software_update'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ApplySoftwareUpdate', - request_serializer=cloud_memcache.ApplySoftwareUpdateRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_software_update'] - - def close(self): - return self.grpc_channel.close() - - -__all__ = ( - 'CloudMemcacheGrpcAsyncIOTransport', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py deleted file mode 100644 index c770908..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py +++ /dev/null @@ -1,50 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from .cloud_memcache import ( - ApplyParametersRequest, - ApplySoftwareUpdateRequest, - CreateInstanceRequest, - DeleteInstanceRequest, - GetInstanceRequest, - Instance, - ListInstancesRequest, - ListInstancesResponse, - LocationMetadata, - MemcacheParameters, - OperationMetadata, - UpdateInstanceRequest, - UpdateParametersRequest, - ZoneMetadata, - MemcacheVersion, -) - -__all__ = ( - 'ApplyParametersRequest', - 'ApplySoftwareUpdateRequest', - 'CreateInstanceRequest', - 'DeleteInstanceRequest', - 'GetInstanceRequest', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'LocationMetadata', - 'MemcacheParameters', - 'OperationMetadata', - 'UpdateInstanceRequest', - 'UpdateParametersRequest', - 'ZoneMetadata', - 'MemcacheVersion', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py deleted file mode 100644 index f216a14..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py +++ /dev/null @@ -1,734 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import proto # type: ignore - -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore - - -__protobuf__ = proto.module( - package='google.cloud.memcache.v1beta2', - manifest={ - 'MemcacheVersion', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'GetInstanceRequest', - 'CreateInstanceRequest', - 'UpdateInstanceRequest', - 'DeleteInstanceRequest', - 'ApplyParametersRequest', - 'UpdateParametersRequest', - 'ApplySoftwareUpdateRequest', - 'MemcacheParameters', - 'OperationMetadata', - 'LocationMetadata', - 'ZoneMetadata', - }, -) - - -class MemcacheVersion(proto.Enum): - r"""Memcached versions supported by our service.""" - MEMCACHE_VERSION_UNSPECIFIED = 0 - MEMCACHE_1_5 = 1 - - -class Instance(proto.Message): - r"""A Memorystore for Memcached instance - - Attributes: - name (str): - Required. Unique name of the resource in this scope - including project and location using the form: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note: Memcached instances are managed and addressed at the - regional level so ``location_id`` here refers to a Google - Cloud region; however, users may choose which zones - Memcached nodes should be provisioned in within an instance. - Refer to - [zones][google.cloud.memcache.v1beta2.Instance.zones] field - for more details. - display_name (str): - User provided name for the instance, which is - only used for display purposes. Cannot be more - than 80 characters. - labels (Mapping[str, str]): - Resource labels to represent user-provided - metadata. Refer to cloud documentation on labels - for more details. - https://cloud.google.com/compute/docs/labeling-resources - authorized_network (str): - The full name of the Google Compute Engine - `network `__ to which - the instance is connected. If left unspecified, the - ``default`` network will be used. - zones (Sequence[str]): - Zones in which Memcached nodes should be - provisioned. Memcached nodes will be equally - distributed across these zones. If not provided, - the service will by default create nodes in all - zones in the region for the instance. - node_count (int): - Required. Number of nodes in the Memcached - instance. - node_config (google.cloud.memcache_v1beta2.types.Instance.NodeConfig): - Required. Configuration for Memcached nodes. - memcache_version (google.cloud.memcache_v1beta2.types.MemcacheVersion): - The major version of Memcached software. If not provided, - latest supported version will be used. Currently the latest - supported major version is ``MEMCACHE_1_5``. The minor - version will be automatically determined by our system based - on the latest supported minor version. - parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): - Optional: User defined parameters to apply to - the memcached process on each node. - memcache_nodes (Sequence[google.cloud.memcache_v1beta2.types.Instance.Node]): - Output only. List of Memcached nodes. Refer to - [Node][google.cloud.memcache.v1beta2.Instance.Node] message - for more details. - create_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. The time the instance was - created. - update_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. The time the instance was - updated. - state (google.cloud.memcache_v1beta2.types.Instance.State): - Output only. The state of this Memcached - instance. - memcache_full_version (str): - Output only. The full version of memcached - server running on this instance. System - automatically determines the full memcached - version for an instance based on the input - MemcacheVersion. - The full version format will be - "memcached-1.5.16". - instance_messages (Sequence[google.cloud.memcache_v1beta2.types.Instance.InstanceMessage]): - List of messages that describe the current - state of the Memcached instance. - discovery_endpoint (str): - Output only. Endpoint for the Discovery API. - update_available (bool): - Output only. Returns true if there is an - update waiting to be applied - """ - class State(proto.Enum): - r"""Different states of a Memcached instance.""" - STATE_UNSPECIFIED = 0 - CREATING = 1 - READY = 2 - DELETING = 4 - PERFORMING_MAINTENANCE = 5 - - class NodeConfig(proto.Message): - r"""Configuration for a Memcached Node. - - Attributes: - cpu_count (int): - Required. Number of cpus per Memcached node. - memory_size_mb (int): - Required. Memory size in MiB for each - Memcached node. - """ - - cpu_count = proto.Field( - proto.INT32, - number=1, - ) - memory_size_mb = proto.Field( - proto.INT32, - number=2, - ) - - class Node(proto.Message): - r""" - - Attributes: - node_id (str): - Output only. Identifier of the Memcached - node. The node id does not include project or - location like the Memcached instance name. - zone (str): - Output only. Location (GCP Zone) for the - Memcached node. - state (google.cloud.memcache_v1beta2.types.Instance.Node.State): - Output only. Current state of the Memcached - node. - host (str): - Output only. Hostname or IP address of the - Memcached node used by the clients to connect to - the Memcached server on this node. - port (int): - Output only. The port number of the Memcached - server on this node. - parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): - User defined parameters currently applied to - the node. - update_available (bool): - Output only. Returns true if there is an - update waiting to be applied - """ - class State(proto.Enum): - r"""Different states of a Memcached node.""" - STATE_UNSPECIFIED = 0 - CREATING = 1 - READY = 2 - DELETING = 3 - UPDATING = 4 - - node_id = proto.Field( - proto.STRING, - number=1, - ) - zone = proto.Field( - proto.STRING, - number=2, - ) - state = proto.Field( - proto.ENUM, - number=3, - enum='Instance.Node.State', - ) - host = proto.Field( - proto.STRING, - number=4, - ) - port = proto.Field( - proto.INT32, - number=5, - ) - parameters = proto.Field( - proto.MESSAGE, - number=6, - message='MemcacheParameters', - ) - update_available = proto.Field( - proto.BOOL, - number=7, - ) - - class InstanceMessage(proto.Message): - r""" - - Attributes: - code (google.cloud.memcache_v1beta2.types.Instance.InstanceMessage.Code): - A code that correspond to one type of - user-facing message. - message (str): - Message on memcached instance which will be - exposed to users. - """ - class Code(proto.Enum): - r"""""" - CODE_UNSPECIFIED = 0 - ZONE_DISTRIBUTION_UNBALANCED = 1 - - code = proto.Field( - proto.ENUM, - number=1, - enum='Instance.InstanceMessage.Code', - ) - message = proto.Field( - proto.STRING, - number=2, - ) - - name = proto.Field( - proto.STRING, - number=1, - ) - display_name = proto.Field( - proto.STRING, - number=2, - ) - labels = proto.MapField( - proto.STRING, - proto.STRING, - number=3, - ) - authorized_network = proto.Field( - proto.STRING, - number=4, - ) - zones = proto.RepeatedField( - proto.STRING, - number=5, - ) - node_count = proto.Field( - proto.INT32, - number=6, - ) - node_config = proto.Field( - proto.MESSAGE, - number=7, - message=NodeConfig, - ) - memcache_version = proto.Field( - proto.ENUM, - number=9, - enum='MemcacheVersion', - ) - parameters = proto.Field( - proto.MESSAGE, - number=11, - message='MemcacheParameters', - ) - memcache_nodes = proto.RepeatedField( - proto.MESSAGE, - number=12, - message=Node, - ) - create_time = proto.Field( - proto.MESSAGE, - number=13, - message=timestamp_pb2.Timestamp, - ) - update_time = proto.Field( - proto.MESSAGE, - number=14, - message=timestamp_pb2.Timestamp, - ) - state = proto.Field( - proto.ENUM, - number=15, - enum=State, - ) - memcache_full_version = proto.Field( - proto.STRING, - number=18, - ) - instance_messages = proto.RepeatedField( - proto.MESSAGE, - number=19, - message=InstanceMessage, - ) - discovery_endpoint = proto.Field( - proto.STRING, - number=20, - ) - update_available = proto.Field( - proto.BOOL, - number=21, - ) - - -class ListInstancesRequest(proto.Message): - r"""Request for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - - Attributes: - parent (str): - Required. The resource name of the instance location using - the form: ``projects/{project_id}/locations/{location_id}`` - where ``location_id`` refers to a GCP region - page_size (int): - The maximum number of items to return. - - If not specified, a default value of 1000 will be used by - the service. Regardless of the ``page_size`` value, the - response may include a partial list and a caller should only - rely on response's - [``next_page_token``][google.cloud.memcache.v1beta2.ListInstancesResponse.next_page_token] - to determine if there are more instances left to be queried. - page_token (str): - The ``next_page_token`` value returned from a previous List - request, if any. - filter (str): - List filter. For example, exclude all Memcached instances - with name as my-instance by specifying - ``"name != my-instance"``. - order_by (str): - Sort results. Supported values are "name", - "name desc" or "" (unsorted). - """ - - parent = proto.Field( - proto.STRING, - number=1, - ) - page_size = proto.Field( - proto.INT32, - number=2, - ) - page_token = proto.Field( - proto.STRING, - number=3, - ) - filter = proto.Field( - proto.STRING, - number=4, - ) - order_by = proto.Field( - proto.STRING, - number=5, - ) - - -class ListInstancesResponse(proto.Message): - r"""Response for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - - Attributes: - resources (Sequence[google.cloud.memcache_v1beta2.types.Instance]): - A list of Memcached instances in the project in the - specified location, or across all locations. - - If the ``location_id`` in the parent field of the request is - "-", all regions available to the project are queried, and - the results aggregated. - next_page_token (str): - Token to retrieve the next page of results, - or empty if there are no more results in the - list. - unreachable (Sequence[str]): - Locations that could not be reached. - """ - - @property - def raw_page(self): - return self - - resources = proto.RepeatedField( - proto.MESSAGE, - number=1, - message='Instance', - ) - next_page_token = proto.Field( - proto.STRING, - number=2, - ) - unreachable = proto.RepeatedField( - proto.STRING, - number=3, - ) - - -class GetInstanceRequest(proto.Message): - r"""Request for - [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. - - Attributes: - name (str): - Required. Memcached instance resource name in the format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - - -class CreateInstanceRequest(proto.Message): - r"""Request for - [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. - - Attributes: - parent (str): - Required. The resource name of the instance location using - the form: ``projects/{project_id}/locations/{location_id}`` - where ``location_id`` refers to a GCP region - instance_id (str): - Required. The logical name of the Memcached instance in the - user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location. - - If any of the above are not met, the API raises an invalid - argument error. - resource (google.cloud.memcache_v1beta2.types.Instance): - Required. A Memcached [Instance] resource - """ - - parent = proto.Field( - proto.STRING, - number=1, - ) - instance_id = proto.Field( - proto.STRING, - number=2, - ) - resource = proto.Field( - proto.MESSAGE, - number=3, - message='Instance', - ) - - -class UpdateInstanceRequest(proto.Message): - r"""Request for - [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. - - Attributes: - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - - - ``displayName`` - resource (google.cloud.memcache_v1beta2.types.Instance): - Required. A Memcached [Instance] resource. Only fields - specified in update_mask are updated. - """ - - update_mask = proto.Field( - proto.MESSAGE, - number=1, - message=field_mask_pb2.FieldMask, - ) - resource = proto.Field( - proto.MESSAGE, - number=2, - message='Instance', - ) - - -class DeleteInstanceRequest(proto.Message): - r"""Request for - [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. - - Attributes: - name (str): - Required. Memcached instance resource name in the format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - - -class ApplyParametersRequest(proto.Message): - r"""Request for - [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. - - Attributes: - name (str): - Required. Resource name of the Memcached - instance for which parameter group updates - should be applied. - node_ids (Sequence[str]): - Nodes to which the instance-level parameter - group is applied. - apply_all (bool): - Whether to apply instance-level parameter group to all - nodes. If set to true, users are restricted from specifying - individual nodes, and ``ApplyParameters`` updates all nodes - within the instance. - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - node_ids = proto.RepeatedField( - proto.STRING, - number=2, - ) - apply_all = proto.Field( - proto.BOOL, - number=3, - ) - - -class UpdateParametersRequest(proto.Message): - r"""Request for - [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. - - Attributes: - name (str): - Required. Resource name of the Memcached - instance for which the parameters should be - updated. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): - The parameters to apply to the instance. - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - update_mask = proto.Field( - proto.MESSAGE, - number=2, - message=field_mask_pb2.FieldMask, - ) - parameters = proto.Field( - proto.MESSAGE, - number=3, - message='MemcacheParameters', - ) - - -class ApplySoftwareUpdateRequest(proto.Message): - r"""Request for - [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. - - Attributes: - instance (str): - Required. Resource name of the Memcached - instance for which software update should be - applied. - node_ids (Sequence[str]): - Nodes to which we should apply the update to. - Note all the selected nodes are updated in - parallel. - apply_all (bool): - Whether to apply the update to all nodes. If - set to true, will explicitly restrict users from - specifying any nodes, and apply software update - to all nodes (where applicable) within the - instance. - """ - - instance = proto.Field( - proto.STRING, - number=1, - ) - node_ids = proto.RepeatedField( - proto.STRING, - number=2, - ) - apply_all = proto.Field( - proto.BOOL, - number=3, - ) - - -class MemcacheParameters(proto.Message): - r"""The unique ID associated with this set of parameters. Users - can use this id to determine if the parameters associated with - the instance differ from the parameters associated with the - nodes. A discrepancy between parameter ids can inform users that - they may need to take action to apply parameters on nodes. - - Attributes: - id (str): - Output only. - params (Mapping[str, str]): - User defined set of parameters to use in the - memcached process. - """ - - id = proto.Field( - proto.STRING, - number=1, - ) - params = proto.MapField( - proto.STRING, - proto.STRING, - number=3, - ) - - -class OperationMetadata(proto.Message): - r"""Represents the metadata of a long-running operation. - - Attributes: - create_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. Time when the operation was - created. - end_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. Time when the operation finished - running. - target (str): - Output only. Server-defined resource path for - the target of the operation. - verb (str): - Output only. Name of the verb executed by the - operation. - status_detail (str): - Output only. Human-readable status of the - operation, if any. - cancel_requested (bool): - Output only. Identifies whether the user has requested - cancellation of the operation. Operations that have - successfully been cancelled have [Operation.error][] value - with a [google.rpc.Status.code][google.rpc.Status.code] of - 1, corresponding to ``Code.CANCELLED``. - api_version (str): - Output only. API version used to start the - operation. - """ - - create_time = proto.Field( - proto.MESSAGE, - number=1, - message=timestamp_pb2.Timestamp, - ) - end_time = proto.Field( - proto.MESSAGE, - number=2, - message=timestamp_pb2.Timestamp, - ) - target = proto.Field( - proto.STRING, - number=3, - ) - verb = proto.Field( - proto.STRING, - number=4, - ) - status_detail = proto.Field( - proto.STRING, - number=5, - ) - cancel_requested = proto.Field( - proto.BOOL, - number=6, - ) - api_version = proto.Field( - proto.STRING, - number=7, - ) - - -class LocationMetadata(proto.Message): - r"""Metadata for the given - [google.cloud.location.Location][google.cloud.location.Location]. - - Attributes: - available_zones (Mapping[str, google.cloud.memcache_v1beta2.types.ZoneMetadata]): - Output only. The set of available zones in the location. The - map is keyed by the lowercase ID of each zone, as defined by - GCE. These keys can be specified in the ``zones`` field when - creating a Memcached instance. - """ - - available_zones = proto.MapField( - proto.STRING, - proto.MESSAGE, - number=1, - message='ZoneMetadata', - ) - - -class ZoneMetadata(proto.Message): - r""" - """ - - -__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/v1beta2/mypy.ini b/owl-bot-staging/v1beta2/mypy.ini deleted file mode 100644 index 4505b48..0000000 --- a/owl-bot-staging/v1beta2/mypy.ini +++ /dev/null @@ -1,3 +0,0 @@ -[mypy] -python_version = 3.6 -namespace_packages = True diff --git a/owl-bot-staging/v1beta2/noxfile.py b/owl-bot-staging/v1beta2/noxfile.py deleted file mode 100644 index 29c0f16..0000000 --- a/owl-bot-staging/v1beta2/noxfile.py +++ /dev/null @@ -1,180 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import os -import pathlib -import shutil -import subprocess -import sys - - -import nox # type: ignore - -ALL_PYTHON = [ - "3.6", - "3.7", - "3.8", - "3.9", - "3.10", -] - -CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() - -LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" -PACKAGE_NAME = subprocess.check_output([sys.executable, "setup.py", "--name"], encoding="utf-8") - -BLACK_VERSION = "black==19.10b0" -BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] -DEFAULT_PYTHON_VERSION = "3.9" - -nox.sessions = [ - "unit", - "cover", - "mypy", - "check_lower_bounds" - # exclude update_lower_bounds from default - "docs", - "blacken", - "lint", - "lint_setup_py", -] - -@nox.session(python=ALL_PYTHON) -def unit(session): - """Run the unit test suite.""" - - session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') - session.install('-e', '.') - - session.run( - 'py.test', - '--quiet', - '--cov=google/cloud/memcache_v1beta2/', - '--cov=tests/', - '--cov-config=.coveragerc', - '--cov-report=term', - '--cov-report=html', - os.path.join('tests', 'unit', ''.join(session.posargs)) - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def cover(session): - """Run the final coverage report. - This outputs the coverage report aggregating coverage from the unit - test runs (not system test runs), and then erases coverage data. - """ - session.install("coverage", "pytest-cov") - session.run("coverage", "report", "--show-missing", "--fail-under=100") - - session.run("coverage", "erase") - - -@nox.session(python=ALL_PYTHON) -def mypy(session): - """Run the type checker.""" - session.install('mypy', 'types-pkg_resources') - session.install('.') - session.run( - 'mypy', - '--explicit-package-bases', - 'google', - ) - - -@nox.session -def update_lower_bounds(session): - """Update lower bounds in constraints.txt to match setup.py""" - session.install('google-cloud-testutils') - session.install('.') - - session.run( - 'lower-bound-checker', - 'update', - '--package-name', - PACKAGE_NAME, - '--constraints-file', - str(LOWER_BOUND_CONSTRAINTS_FILE), - ) - - -@nox.session -def check_lower_bounds(session): - """Check lower bounds in setup.py are reflected in constraints file""" - session.install('google-cloud-testutils') - session.install('.') - - session.run( - 'lower-bound-checker', - 'check', - '--package-name', - PACKAGE_NAME, - '--constraints-file', - str(LOWER_BOUND_CONSTRAINTS_FILE), - ) - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def docs(session): - """Build the docs for this library.""" - - session.install("-e", ".") - session.install("sphinx==4.0.1", "alabaster", "recommonmark") - - shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) - session.run( - "sphinx-build", - "-W", # warnings as errors - "-T", # show full traceback on exception - "-N", # no colors - "-b", - "html", - "-d", - os.path.join("docs", "_build", "doctrees", ""), - os.path.join("docs", ""), - os.path.join("docs", "_build", "html", ""), - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def lint(session): - """Run linters. - - Returns a failure if the linters find linting errors or sufficiently - serious code quality issues. - """ - session.install("flake8", BLACK_VERSION) - session.run( - "black", - "--check", - *BLACK_PATHS, - ) - session.run("flake8", "google", "tests", "samples") - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def blacken(session): - """Run black. Format code to uniform standard.""" - session.install(BLACK_VERSION) - session.run( - "black", - *BLACK_PATHS, - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def lint_setup_py(session): - """Verify that setup.py is valid (including RST check).""" - session.install("docutils", "pygments") - session.run("python", "setup.py", "check", "--restructuredtext", "--strict") diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py deleted file mode 100644 index eef58f6..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplyParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ApplyParameters_async] -from google.cloud import memcache_v1beta2 - - -async def sample_apply_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ApplyParameters_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py deleted file mode 100644 index 159a37c..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplyParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ApplyParameters_sync] -from google.cloud import memcache_v1beta2 - - -def sample_apply_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ApplyParameters_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py deleted file mode 100644 index 7cdcda9..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplySoftwareUpdate -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_async] -from google.cloud import memcache_v1beta2 - - -async def sample_apply_software_update(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplySoftwareUpdateRequest( - instance="instance_value", - ) - - # Make the request - operation = client.apply_software_update(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py deleted file mode 100644 index f3d7fef..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplySoftwareUpdate -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_sync] -from google.cloud import memcache_v1beta2 - - -def sample_apply_software_update(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplySoftwareUpdateRequest( - instance="instance_value", - ) - - # Make the request - operation = client.apply_software_update(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py deleted file mode 100644 index aa17117..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py +++ /dev/null @@ -1,57 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for CreateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_CreateInstance_async] -from google.cloud import memcache_v1beta2 - - -async def sample_create_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - resource=resource, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_CreateInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py deleted file mode 100644 index f1ec09e..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py +++ /dev/null @@ -1,57 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for CreateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_CreateInstance_sync] -from google.cloud import memcache_v1beta2 - - -def sample_create_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - resource=resource, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_CreateInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py deleted file mode 100644 index f7a715b..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for DeleteInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_DeleteInstance_async] -from google.cloud import memcache_v1beta2 - - -async def sample_delete_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_DeleteInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py deleted file mode 100644 index 497447a..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for DeleteInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_DeleteInstance_sync] -from google.cloud import memcache_v1beta2 - - -def sample_delete_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_DeleteInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py deleted file mode 100644 index a17c364..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py +++ /dev/null @@ -1,45 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for GetInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_GetInstance_async] -from google.cloud import memcache_v1beta2 - - -async def sample_get_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = await client.get_instance(request=request) - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_GetInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py deleted file mode 100644 index aa391b1..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py +++ /dev/null @@ -1,45 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for GetInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_GetInstance_sync] -from google.cloud import memcache_v1beta2 - - -def sample_get_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = client.get_instance(request=request) - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_GetInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py deleted file mode 100644 index 860b2f0..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py +++ /dev/null @@ -1,46 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ListInstances -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ListInstances_async] -from google.cloud import memcache_v1beta2 - - -async def sample_list_instances(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - async for response in page_result: - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ListInstances_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py deleted file mode 100644 index a4d39a4..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py +++ /dev/null @@ -1,46 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ListInstances -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ListInstances_sync] -from google.cloud import memcache_v1beta2 - - -def sample_list_instances(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - for response in page_result: - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ListInstances_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py deleted file mode 100644 index a7d90c8..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py +++ /dev/null @@ -1,55 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_UpdateInstance_async] -from google.cloud import memcache_v1beta2 - - -async def sample_update_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.UpdateInstanceRequest( - resource=resource, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_UpdateInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py deleted file mode 100644 index e3e4e0c..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py +++ /dev/null @@ -1,55 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_UpdateInstance_sync] -from google.cloud import memcache_v1beta2 - - -def sample_update_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.UpdateInstanceRequest( - resource=resource, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_UpdateInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py deleted file mode 100644 index 6ddba29..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_UpdateParameters_async] -from google.cloud import memcache_v1beta2 - - -async def sample_update_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_UpdateParameters_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py deleted file mode 100644 index bea149a..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_UpdateParameters_sync] -from google.cloud import memcache_v1beta2 - - -def sample_update_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_UpdateParameters_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json b/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json deleted file mode 100644 index d2dd1a7..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json +++ /dev/null @@ -1,1374 +0,0 @@ -{ - 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- -def partition( - predicate: Callable[[Any], bool], - iterator: Sequence[Any] -) -> Tuple[List[Any], List[Any]]: - """A stable, out-of-place partition.""" - results = ([], []) - - for i in iterator: - results[int(predicate(i))].append(i) - - # Returns trueList, falseList - return results[1], results[0] - - -class memcacheCallTransformer(cst.CSTTransformer): - CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') - METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { - 'apply_parameters': ('name', 'node_ids', 'apply_all', ), - 'apply_software_update': ('instance', 'node_ids', 'apply_all', ), - 'create_instance': ('parent', 'instance_id', 'resource', ), - 'delete_instance': ('name', ), - 'get_instance': ('name', ), - 'list_instances': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ), - 'update_instance': ('update_mask', 'resource', ), - 'update_parameters': ('name', 'update_mask', 'parameters', ), - } - - def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: - try: - key = original.func.attr.value - kword_params = self.METHOD_TO_PARAMS[key] - except (AttributeError, KeyError): - # Either not a method from the API or too convoluted to be sure. - return updated - - # If the existing code is valid, keyword args come after positional args. - # Therefore, all positional args must map to the first parameters. - args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) - if any(k.keyword.value == "request" for k in kwargs): - # We've already fixed this file, don't fix it again. - return updated - - kwargs, ctrl_kwargs = partition( - lambda a: a.keyword.value not in self.CTRL_PARAMS, - kwargs - ) - - args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] - ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) - for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) - - request_arg = cst.Arg( - value=cst.Dict([ - cst.DictElement( - cst.SimpleString("'{}'".format(name)), -cst.Element(value=arg.value) - ) - # Note: the args + kwargs looks silly, but keep in mind that - # the control parameters had to be stripped out, and that - # those could have been passed positionally or by keyword. - for name, arg in zip(kword_params, args + kwargs)]), - keyword=cst.Name("request") - ) - - return updated.with_changes( - args=[request_arg] + ctrl_kwargs - ) - - -def fix_files( - in_dir: pathlib.Path, - out_dir: pathlib.Path, - *, - transformer=memcacheCallTransformer(), -): - """Duplicate the input dir to the output dir, fixing file method calls. - - Preconditions: - * in_dir is a real directory - * out_dir is a real, empty directory - """ - pyfile_gen = ( - pathlib.Path(os.path.join(root, f)) - for root, _, files in os.walk(in_dir) - for f in files if os.path.splitext(f)[1] == ".py" - ) - - for fpath in pyfile_gen: - with open(fpath, 'r') as f: - src = f.read() - - # Parse the code and insert method call fixes. - tree = cst.parse_module(src) - updated = tree.visit(transformer) - - # Create the path and directory structure for the new file. - updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) - updated_path.parent.mkdir(parents=True, exist_ok=True) - - # Generate the updated source file at the corresponding path. - with open(updated_path, 'w') as f: - f.write(updated.code) - - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description="""Fix up source that uses the memcache client library. - -The existing sources are NOT overwritten but are copied to output_dir with changes made. - -Note: This tool operates at a best-effort level at converting positional - parameters in client method calls to keyword based parameters. - Cases where it WILL FAIL include - A) * or ** expansion in a method call. - B) Calls via function or method alias (includes free function calls) - C) Indirect or dispatched calls (e.g. the method is looked up dynamically) - - These all constitute false negatives. The tool will also detect false - positives when an API method shares a name with another method. -""") - parser.add_argument( - '-d', - '--input-directory', - required=True, - dest='input_dir', - help='the input directory to walk for python files to fix up', - ) - parser.add_argument( - '-o', - '--output-directory', - required=True, - dest='output_dir', - help='the directory to output files fixed via un-flattening', - ) - args = parser.parse_args() - input_dir = pathlib.Path(args.input_dir) - output_dir = pathlib.Path(args.output_dir) - if not input_dir.is_dir(): - print( - f"input directory '{input_dir}' does not exist or is not a directory", - file=sys.stderr, - ) - sys.exit(-1) - - if not output_dir.is_dir(): - print( - f"output directory '{output_dir}' does not exist or is not a directory", - file=sys.stderr, - ) - sys.exit(-1) - - if os.listdir(output_dir): - print( - f"output directory '{output_dir}' is not empty", - file=sys.stderr, - ) - sys.exit(-1) - - fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/v1beta2/setup.py b/owl-bot-staging/v1beta2/setup.py deleted file mode 100644 index a22e368..0000000 --- a/owl-bot-staging/v1beta2/setup.py +++ /dev/null @@ -1,59 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import io -import os -import setuptools # type: ignore - -version = '0.1.0' - -package_root = os.path.abspath(os.path.dirname(__file__)) - -readme_filename = os.path.join(package_root, 'README.rst') -with io.open(readme_filename, encoding='utf-8') as readme_file: - readme = readme_file.read() - -setuptools.setup( - name='google-cloud-memcache', - author="Google LLC", - author_email="googleapis-packages@google.com", - url="https://github.com/googleapis/python-google-cloud-memcache", - version=version, - long_description=readme, - packages=setuptools.PEP420PackageFinder.find(), - namespace_packages=('google', 'google.cloud'), - platforms='Posix; MacOS X; Windows', - include_package_data=True, - install_requires=( - 'google-api-core[grpc] >= 2.8.0, < 3.0.0dev', - 'libcst >= 0.2.5', - 'googleapis-common-protos >= 1.55.0, <2.0.0dev', - 'proto-plus >= 1.19.7', - ), - python_requires='>=3.6', - classifiers=[ - 'Development Status :: 3 - Alpha', - 'Intended Audience :: Developers', - 'Operating System :: OS Independent', - 'Programming Language :: Python :: 3.6', - 'Programming Language :: Python :: 3.7', - 'Programming Language :: Python :: 3.8', - 'Programming Language :: Python :: 3.9', - 'Programming Language :: Python :: 3.10', - 'Topic :: Internet', - 'Topic :: Software Development :: Libraries :: Python Modules', - ], - zip_safe=False, -) diff --git a/owl-bot-staging/v1beta2/tests/__init__.py b/owl-bot-staging/v1beta2/tests/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1beta2/tests/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1beta2/tests/unit/__init__.py b/owl-bot-staging/v1beta2/tests/unit/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1beta2/tests/unit/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py b/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py deleted file mode 100644 index b77cb16..0000000 --- a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py +++ /dev/null @@ -1,3375 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import os -# try/except added for compatibility with python < 3.8 -try: - from unittest import mock - from unittest.mock import AsyncMock -except ImportError: - import mock - -import grpc -from grpc.experimental import aio -import math -import pytest -from proto.marshal.rules.dates import DurationRule, TimestampRule - - -from google.api_core import client_options -from google.api_core import exceptions as core_exceptions -from google.api_core import future -from google.api_core import gapic_v1 -from google.api_core import grpc_helpers -from google.api_core import grpc_helpers_async -from google.api_core import operation -from google.api_core import operation_async # type: ignore -from google.api_core import operations_v1 -from google.api_core import path_template -from google.auth import credentials as ga_credentials -from google.auth.exceptions import MutualTLSChannelError -from google.cloud.memcache_v1beta2.services.cloud_memcache import CloudMemcacheAsyncClient -from google.cloud.memcache_v1beta2.services.cloud_memcache import CloudMemcacheClient -from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers -from google.cloud.memcache_v1beta2.services.cloud_memcache import transports -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.longrunning import operations_pb2 -from google.oauth2 import service_account -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -import google.auth - - -def client_cert_source_callback(): - return b"cert bytes", b"key bytes" - - -# If default endpoint is localhost, then default mtls endpoint will be the same. -# This method modifies the default endpoint so the client can produce a different -# mtls endpoint for endpoint testing purposes. -def modify_default_endpoint(client): - return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT - - -def test__get_default_mtls_endpoint(): - api_endpoint = "example.googleapis.com" - api_mtls_endpoint = "example.mtls.googleapis.com" - sandbox_endpoint = "example.sandbox.googleapis.com" - sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" - non_googleapi = "api.example.com" - - assert CloudMemcacheClient._get_default_mtls_endpoint(None) is None - assert CloudMemcacheClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi - - -@pytest.mark.parametrize("client_class,transport_name", [ - (CloudMemcacheClient, "grpc"), - (CloudMemcacheAsyncClient, "grpc_asyncio"), -]) -def test_cloud_memcache_client_from_service_account_info(client_class, transport_name): - creds = ga_credentials.AnonymousCredentials() - with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: - factory.return_value = creds - info = {"valid": True} - client = client_class.from_service_account_info(info, transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - - -@pytest.mark.parametrize("transport_class,transport_name", [ - (transports.CloudMemcacheGrpcTransport, "grpc"), - (transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -def test_cloud_memcache_client_service_account_always_use_jwt(transport_class, transport_name): - with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: - creds = service_account.Credentials(None, None, None) - transport = transport_class(credentials=creds, always_use_jwt_access=True) - use_jwt.assert_called_once_with(True) - - with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: - creds = service_account.Credentials(None, None, None) - transport = transport_class(credentials=creds, always_use_jwt_access=False) - use_jwt.assert_not_called() - - -@pytest.mark.parametrize("client_class,transport_name", [ - (CloudMemcacheClient, "grpc"), - (CloudMemcacheAsyncClient, "grpc_asyncio"), -]) -def test_cloud_memcache_client_from_service_account_file(client_class, transport_name): - creds = ga_credentials.AnonymousCredentials() - with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: - factory.return_value = creds - client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - - -def test_cloud_memcache_client_get_transport_class(): - transport = CloudMemcacheClient.get_transport_class() - available_transports = [ - transports.CloudMemcacheGrpcTransport, - ] - assert transport in available_transports - - transport = CloudMemcacheClient.get_transport_class("grpc") - assert transport == transports.CloudMemcacheGrpcTransport - - -@pytest.mark.parametrize("client_class,transport_class,transport_name", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -def test_cloud_memcache_client_client_options(client_class, transport_class, transport_name): - # Check that if channel is provided we won't create a new one. - with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: - transport = transport_class( - credentials=ga_credentials.AnonymousCredentials() - ) - client = client_class(transport=transport) - gtc.assert_not_called() - - # Check that if channel is provided via str we will create a new one. - with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: - client = client_class(transport=transport_name) - gtc.assert_called() - - # Check the case api_endpoint is provided. - options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name, client_options=options) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host="squid.clam.whelk", - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is - # "never". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is - # "always". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_MTLS_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has - # unsupported value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): - with pytest.raises(MutualTLSChannelError): - client = client_class(transport=transport_name) - - # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): - with pytest.raises(ValueError): - client = client_class(transport=transport_name) - - # Check the case quota_project_id is provided - options = client_options.ClientOptions(quota_project_id="octopus") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id="octopus", - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - # Check the case api_endpoint is provided - options = client_options.ClientOptions(api_audience="https://language.googleapis.com") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience="https://language.googleapis.com" - ) - -@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "true"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "true"), - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "false"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "false"), -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) -def test_cloud_memcache_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): - # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default - # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. - - # Check the case client_cert_source is provided. Whether client cert is used depends on - # GOOGLE_API_USE_CLIENT_CERTIFICATE value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - - if use_client_cert_env == "false": - expected_client_cert_source = None - expected_host = client.DEFAULT_ENDPOINT - else: - expected_client_cert_source = client_cert_source_callback - expected_host = client.DEFAULT_MTLS_ENDPOINT - - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=expected_host, - scopes=None, - client_cert_source_for_mtls=expected_client_cert_source, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case ADC client cert is provided. Whether client cert is used depends on - # GOOGLE_API_USE_CLIENT_CERTIFICATE value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - with mock.patch.object(transport_class, '__init__') as patched: - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): - with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): - if use_client_cert_env == "false": - expected_host = client.DEFAULT_ENDPOINT - expected_client_cert_source = None - else: - expected_host = client.DEFAULT_MTLS_ENDPOINT - expected_client_cert_source = client_cert_source_callback - - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=expected_host, - scopes=None, - client_cert_source_for_mtls=expected_client_cert_source, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case client_cert_source and ADC client cert are not provided. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - with mock.patch.object(transport_class, '__init__') as patched: - with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - -@pytest.mark.parametrize("client_class", [ - CloudMemcacheClient, CloudMemcacheAsyncClient -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -def test_cloud_memcache_client_get_mtls_endpoint_and_cert_source(client_class): - mock_client_cert_source = mock.Mock() - - # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - mock_api_endpoint = "foo" - options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) - assert api_endpoint == mock_api_endpoint - assert cert_source == mock_client_cert_source - - # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): - mock_client_cert_source = mock.Mock() - mock_api_endpoint = "foo" - options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) - assert api_endpoint == mock_api_endpoint - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): - with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT - assert cert_source == mock_client_cert_source - - -@pytest.mark.parametrize("client_class,transport_class,transport_name", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -def test_cloud_memcache_client_client_options_scopes(client_class, transport_class, transport_name): - # Check the case scopes are provided. - options = client_options.ClientOptions( - scopes=["1", "2"], - ) - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=["1", "2"], - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - -@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), -]) -def test_cloud_memcache_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): - # Check the case credentials file is provided. - options = client_options.ClientOptions( - credentials_file="credentials.json" - ) - - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file="credentials.json", - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - -def test_cloud_memcache_client_client_options_from_dict(): - with mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__') as grpc_transport: - grpc_transport.return_value = None - client = CloudMemcacheClient( - client_options={'api_endpoint': 'squid.clam.whelk'} - ) - grpc_transport.assert_called_once_with( - credentials=None, - credentials_file=None, - host="squid.clam.whelk", - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - -@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), -]) -def test_cloud_memcache_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): - # Check the case credentials file is provided. - options = client_options.ClientOptions( - credentials_file="credentials.json" - ) - - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file="credentials.json", - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # test that the credentials from file are saved and used as the credentials. - with mock.patch.object( - google.auth, "load_credentials_from_file", autospec=True - ) as load_creds, mock.patch.object( - google.auth, "default", autospec=True - ) as adc, mock.patch.object( - grpc_helpers, "create_channel" - ) as create_channel: - creds = ga_credentials.AnonymousCredentials() - file_creds = ga_credentials.AnonymousCredentials() - load_creds.return_value = (file_creds, None) - adc.return_value = (creds, None) - client = client_class(client_options=options, transport=transport_name) - create_channel.assert_called_with( - "memcache.googleapis.com:443", - credentials=file_creds, - credentials_file=None, - quota_project_id=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - scopes=None, - default_host="memcache.googleapis.com", - ssl_credentials=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.ListInstancesRequest, - dict, -]) -def test_list_instances(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse( - next_page_token='next_page_token_value', - unreachable=['unreachable_value'], - ) - response = client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, pagers.ListInstancesPager) - assert response.next_page_token == 'next_page_token_value' - assert response.unreachable == ['unreachable_value'] - - -def test_list_instances_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - client.list_instances() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - -@pytest.mark.asyncio -async def test_list_instances_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ListInstancesRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse( - next_page_token='next_page_token_value', - unreachable=['unreachable_value'], - )) - response = await client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, pagers.ListInstancesAsyncPager) - assert response.next_page_token == 'next_page_token_value' - assert response.unreachable == ['unreachable_value'] - - -@pytest.mark.asyncio -async def test_list_instances_async_from_dict(): - await test_list_instances_async(request_type=dict) - - -def test_list_instances_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ListInstancesRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - call.return_value = cloud_memcache.ListInstancesResponse() - client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_list_instances_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ListInstancesRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) - await client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -def test_list_instances_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse() - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.list_instances( - parent='parent_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - - -def test_list_instances_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.list_instances( - cloud_memcache.ListInstancesRequest(), - parent='parent_value', - ) - -@pytest.mark.asyncio -async def test_list_instances_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse() - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.list_instances( - parent='parent_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_list_instances_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.list_instances( - cloud_memcache.ListInstancesRequest(), - parent='parent_value', - ) - - -def test_list_instances_pager(transport_name: str = "grpc"): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials, - transport=transport_name, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - resources=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - - metadata = () - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ('parent', ''), - )), - ) - pager = client.list_instances(request={}) - - assert pager._metadata == metadata - - results = list(pager) - assert len(results) == 6 - assert all(isinstance(i, cloud_memcache.Instance) - for i in results) -def test_list_instances_pages(transport_name: str = "grpc"): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials, - transport=transport_name, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - resources=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - pages = list(client.list_instances(request={}).pages) - for page_, token in zip(pages, ['abc','def','ghi', '']): - assert page_.raw_page.next_page_token == token - -@pytest.mark.asyncio -async def test_list_instances_async_pager(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__', new_callable=mock.AsyncMock) as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - resources=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - async_pager = await client.list_instances(request={},) - assert async_pager.next_page_token == 'abc' - responses = [] - async for response in async_pager: # pragma: no branch - responses.append(response) - - assert len(responses) == 6 - assert all(isinstance(i, cloud_memcache.Instance) - for i in responses) - - -@pytest.mark.asyncio -async def test_list_instances_async_pages(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__', new_callable=mock.AsyncMock) as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - resources=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - pages = [] - async for page_ in (await client.list_instances(request={})).pages: # pragma: no branch - pages.append(page_) - for page_, token in zip(pages, ['abc','def','ghi', '']): - assert page_.raw_page.next_page_token == token - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.GetInstanceRequest, - dict, -]) -def test_get_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance( - name='name_value', - display_name='display_name_value', - authorized_network='authorized_network_value', - zones=['zones_value'], - node_count=1070, - memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, - state=cloud_memcache.Instance.State.CREATING, - memcache_full_version='memcache_full_version_value', - discovery_endpoint='discovery_endpoint_value', - update_available=True, - ) - response = client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, cloud_memcache.Instance) - assert response.name == 'name_value' - assert response.display_name == 'display_name_value' - assert response.authorized_network == 'authorized_network_value' - assert response.zones == ['zones_value'] - assert response.node_count == 1070 - assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 - assert response.state == cloud_memcache.Instance.State.CREATING - assert response.memcache_full_version == 'memcache_full_version_value' - assert response.discovery_endpoint == 'discovery_endpoint_value' - assert response.update_available is True - - -def test_get_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - client.get_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - -@pytest.mark.asyncio -async def test_get_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.GetInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance( - name='name_value', - display_name='display_name_value', - authorized_network='authorized_network_value', - zones=['zones_value'], - node_count=1070, - memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, - state=cloud_memcache.Instance.State.CREATING, - memcache_full_version='memcache_full_version_value', - discovery_endpoint='discovery_endpoint_value', - update_available=True, - )) - response = await client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, cloud_memcache.Instance) - assert response.name == 'name_value' - assert response.display_name == 'display_name_value' - assert response.authorized_network == 'authorized_network_value' - assert response.zones == ['zones_value'] - assert response.node_count == 1070 - assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 - assert response.state == cloud_memcache.Instance.State.CREATING - assert response.memcache_full_version == 'memcache_full_version_value' - assert response.discovery_endpoint == 'discovery_endpoint_value' - assert response.update_available is True - - -@pytest.mark.asyncio -async def test_get_instance_async_from_dict(): - await test_get_instance_async(request_type=dict) - - -def test_get_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.GetInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - call.return_value = cloud_memcache.Instance() - client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_get_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.GetInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) - await client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_get_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance() - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.get_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - - -def test_get_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.get_instance( - cloud_memcache.GetInstanceRequest(), - name='name_value', - ) - -@pytest.mark.asyncio -async def test_get_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance() - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.get_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_get_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.get_instance( - cloud_memcache.GetInstanceRequest(), - name='name_value', - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.CreateInstanceRequest, - dict, -]) -def test_create_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_create_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - client.create_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - -@pytest.mark.asyncio -async def test_create_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.CreateInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_create_instance_async_from_dict(): - await test_create_instance_async(request_type=dict) - - -def test_create_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.CreateInstanceRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_create_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.CreateInstanceRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -def test_create_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.create_instance( - parent='parent_value', - instance_id='instance_id_value', - resource=cloud_memcache.Instance(name='name_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - arg = args[0].instance_id - mock_val = 'instance_id_value' - assert arg == mock_val - arg = args[0].resource - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - - -def test_create_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.create_instance( - cloud_memcache.CreateInstanceRequest(), - parent='parent_value', - instance_id='instance_id_value', - resource=cloud_memcache.Instance(name='name_value'), - ) - -@pytest.mark.asyncio -async def test_create_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.create_instance( - parent='parent_value', - instance_id='instance_id_value', - resource=cloud_memcache.Instance(name='name_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - arg = args[0].instance_id - mock_val = 'instance_id_value' - assert arg == mock_val - arg = args[0].resource - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - -@pytest.mark.asyncio -async def test_create_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.create_instance( - cloud_memcache.CreateInstanceRequest(), - parent='parent_value', - instance_id='instance_id_value', - resource=cloud_memcache.Instance(name='name_value'), - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.UpdateInstanceRequest, - dict, -]) -def test_update_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_update_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - client.update_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - -@pytest.mark.asyncio -async def test_update_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_update_instance_async_from_dict(): - await test_update_instance_async(request_type=dict) - - -def test_update_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateInstanceRequest() - - request.resource.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'resource.name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_update_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateInstanceRequest() - - request.resource.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'resource.name=name_value', - ) in kw['metadata'] - - -def test_update_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.update_instance( - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - resource=cloud_memcache.Instance(name='name_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].resource - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - - -def test_update_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.update_instance( - cloud_memcache.UpdateInstanceRequest(), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - resource=cloud_memcache.Instance(name='name_value'), - ) - -@pytest.mark.asyncio -async def test_update_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.update_instance( - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - resource=cloud_memcache.Instance(name='name_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].resource - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - -@pytest.mark.asyncio -async def test_update_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.update_instance( - cloud_memcache.UpdateInstanceRequest(), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - resource=cloud_memcache.Instance(name='name_value'), - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.UpdateParametersRequest, - dict, -]) -def test_update_parameters(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_update_parameters_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - client.update_parameters() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - -@pytest.mark.asyncio -async def test_update_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateParametersRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_update_parameters_async_from_dict(): - await test_update_parameters_async(request_type=dict) - - -def test_update_parameters_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_update_parameters_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_update_parameters_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.update_parameters( - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].parameters - mock_val = cloud_memcache.MemcacheParameters(id='id_value') - assert arg == mock_val - - -def test_update_parameters_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.update_parameters( - cloud_memcache.UpdateParametersRequest(), - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - -@pytest.mark.asyncio -async def test_update_parameters_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.update_parameters( - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].parameters - mock_val = cloud_memcache.MemcacheParameters(id='id_value') - assert arg == mock_val - -@pytest.mark.asyncio -async def test_update_parameters_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.update_parameters( - cloud_memcache.UpdateParametersRequest(), - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.DeleteInstanceRequest, - dict, -]) -def test_delete_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_delete_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - client.delete_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - -@pytest.mark.asyncio -async def test_delete_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.DeleteInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_delete_instance_async_from_dict(): - await test_delete_instance_async(request_type=dict) - - -def test_delete_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.DeleteInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_delete_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.DeleteInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_delete_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.delete_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - - -def test_delete_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.delete_instance( - cloud_memcache.DeleteInstanceRequest(), - name='name_value', - ) - -@pytest.mark.asyncio -async def test_delete_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.delete_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_delete_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.delete_instance( - cloud_memcache.DeleteInstanceRequest(), - name='name_value', - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.ApplyParametersRequest, - dict, -]) -def test_apply_parameters(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_apply_parameters_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - client.apply_parameters() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - -@pytest.mark.asyncio -async def test_apply_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplyParametersRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_apply_parameters_async_from_dict(): - await test_apply_parameters_async(request_type=dict) - - -def test_apply_parameters_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplyParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_apply_parameters_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplyParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_apply_parameters_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.apply_parameters( - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - - -def test_apply_parameters_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.apply_parameters( - cloud_memcache.ApplyParametersRequest(), - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - -@pytest.mark.asyncio -async def test_apply_parameters_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.apply_parameters( - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - -@pytest.mark.asyncio -async def test_apply_parameters_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.apply_parameters( - cloud_memcache.ApplyParametersRequest(), - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.ApplySoftwareUpdateRequest, - dict, -]) -def test_apply_software_update(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.apply_software_update(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_apply_software_update_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - client.apply_software_update() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() - -@pytest.mark.asyncio -async def test_apply_software_update_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplySoftwareUpdateRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.apply_software_update(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_apply_software_update_async_from_dict(): - await test_apply_software_update_async(request_type=dict) - - -def test_apply_software_update_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplySoftwareUpdateRequest() - - request.instance = 'instance_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.apply_software_update(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'instance=instance_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_apply_software_update_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplySoftwareUpdateRequest() - - request.instance = 'instance_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.apply_software_update(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'instance=instance_value', - ) in kw['metadata'] - - -def test_apply_software_update_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.apply_software_update( - instance='instance_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].instance - mock_val = 'instance_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - - -def test_apply_software_update_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.apply_software_update( - cloud_memcache.ApplySoftwareUpdateRequest(), - instance='instance_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - -@pytest.mark.asyncio -async def test_apply_software_update_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.apply_software_update( - instance='instance_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].instance - mock_val = 'instance_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - -@pytest.mark.asyncio -async def test_apply_software_update_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.apply_software_update( - cloud_memcache.ApplySoftwareUpdateRequest(), - instance='instance_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - -def test_credentials_transport_error(): - # It is an error to provide credentials and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # It is an error to provide a credentials file and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options={"credentials_file": "credentials.json"}, - transport=transport, - ) - - # It is an error to provide an api_key and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - options = client_options.ClientOptions() - options.api_key = "api_key" - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options=options, - transport=transport, - ) - - # It is an error to provide an api_key and a credential. - options = mock.Mock() - options.api_key = "api_key" - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options=options, - credentials=ga_credentials.AnonymousCredentials() - ) - - # It is an error to provide scopes and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options={"scopes": ["1", "2"]}, - transport=transport, - ) - - -def test_transport_instance(): - # A client may be instantiated with a custom transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - client = CloudMemcacheClient(transport=transport) - assert client.transport is transport - -def test_transport_get_channel(): - # A client may be instantiated with a custom transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - channel = transport.grpc_channel - assert channel - - transport = transports.CloudMemcacheGrpcAsyncIOTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - channel = transport.grpc_channel - assert channel - -@pytest.mark.parametrize("transport_class", [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, -]) -def test_transport_adc(transport_class): - # Test default credentials are used if not provided. - with mock.patch.object(google.auth, 'default') as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport_class() - adc.assert_called_once() - -@pytest.mark.parametrize("transport_name", [ - "grpc", -]) -def test_transport_kind(transport_name): - transport = CloudMemcacheClient.get_transport_class(transport_name)( - credentials=ga_credentials.AnonymousCredentials(), - ) - assert transport.kind == transport_name - -def test_transport_grpc_default(): - # A client should use the gRPC transport by default. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - assert isinstance( - client.transport, - transports.CloudMemcacheGrpcTransport, - ) - -def test_cloud_memcache_base_transport_error(): - # Passing both a credentials object and credentials_file should raise an error - with pytest.raises(core_exceptions.DuplicateCredentialArgs): - transport = transports.CloudMemcacheTransport( - credentials=ga_credentials.AnonymousCredentials(), - credentials_file="credentials.json" - ) - - -def test_cloud_memcache_base_transport(): - # Instantiate the base transport. - with mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport.__init__') as Transport: - Transport.return_value = None - transport = transports.CloudMemcacheTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Every method on the transport should just blindly - # raise NotImplementedError. - methods = ( - 'list_instances', - 'get_instance', - 'create_instance', - 'update_instance', - 'update_parameters', - 'delete_instance', - 'apply_parameters', - 'apply_software_update', - ) - for method in methods: - with pytest.raises(NotImplementedError): - getattr(transport, method)(request=object()) - - with pytest.raises(NotImplementedError): - transport.close() - - # Additionally, the LRO client (a property) should - # also raise NotImplementedError - with pytest.raises(NotImplementedError): - transport.operations_client - - # Catch all for all remaining methods and properties - remainder = [ - 'kind', - ] - for r in remainder: - with pytest.raises(NotImplementedError): - getattr(transport, r)() - - -def test_cloud_memcache_base_transport_with_credentials_file(): - # Instantiate the base transport with a credentials file - with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: - Transport.return_value = None - load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) - transport = transports.CloudMemcacheTransport( - credentials_file="credentials.json", - quota_project_id="octopus", - ) - load_creds.assert_called_once_with("credentials.json", - scopes=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - quota_project_id="octopus", - ) - - -def test_cloud_memcache_base_transport_with_adc(): - # Test the default credentials are used if credentials and credentials_file are None. - with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: - Transport.return_value = None - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport = transports.CloudMemcacheTransport() - adc.assert_called_once() - - -def test_cloud_memcache_auth_adc(): - # If no credentials are provided, we should use ADC credentials. - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - CloudMemcacheClient() - adc.assert_called_once_with( - scopes=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - quota_project_id=None, - ) - - -@pytest.mark.parametrize( - "transport_class", - [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, - ], -) -def test_cloud_memcache_transport_auth_adc(transport_class): - # If credentials and host are not provided, the transport class should use - # ADC credentials. - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport_class(quota_project_id="octopus", scopes=["1", "2"]) - adc.assert_called_once_with( - scopes=["1", "2"], - default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), - quota_project_id="octopus", - ) - - -@pytest.mark.parametrize( - "transport_class", - [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, - transports.CloudMemcacheRestTransport, - ], -) -def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): - host = 'https://language.com' - api_audience_tests = [None, 'https://language2.com'] - api_audience_expect = [host, 'https://language2.com'] - for t, e in zip(api_audience_tests, api_audience_expect): - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - gdch_mock = mock.MagicMock() - type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) - adc.return_value = (gdch_mock, None) - transport_class(host=host, api_audience=t) - gdch_mock.with_gdch_audience.assert_called_once_with( - e - ) - - -@pytest.mark.parametrize( - "transport_class,grpc_helpers", - [ - (transports.CloudMemcacheGrpcTransport, grpc_helpers), - (transports.CloudMemcacheGrpcAsyncIOTransport, grpc_helpers_async) - ], -) -def test_cloud_memcache_transport_create_channel(transport_class, grpc_helpers): - # If credentials and host are not provided, the transport class should use - # ADC credentials. - with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( - grpc_helpers, "create_channel", autospec=True - ) as create_channel: - creds = ga_credentials.AnonymousCredentials() - adc.return_value = (creds, None) - transport_class( - quota_project_id="octopus", - scopes=["1", "2"] - ) - - create_channel.assert_called_with( - "memcache.googleapis.com:443", - credentials=creds, - credentials_file=None, - quota_project_id="octopus", - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - scopes=["1", "2"], - default_host="memcache.googleapis.com", - ssl_credentials=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_grpc_transport_client_cert_source_for_mtls( - transport_class -): - cred = ga_credentials.AnonymousCredentials() - - # Check ssl_channel_credentials is used if provided. - with mock.patch.object(transport_class, "create_channel") as mock_create_channel: - mock_ssl_channel_creds = mock.Mock() - transport_class( - host="squid.clam.whelk", - credentials=cred, - ssl_channel_credentials=mock_ssl_channel_creds - ) - mock_create_channel.assert_called_once_with( - "squid.clam.whelk:443", - credentials=cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_channel_creds, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls - # is used. - with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): - with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: - transport_class( - credentials=cred, - client_cert_source_for_mtls=client_cert_source_callback - ) - expected_cert, expected_key = client_cert_source_callback() - mock_ssl_cred.assert_called_once_with( - certificate_chain=expected_cert, - private_key=expected_key - ) - - -@pytest.mark.parametrize("transport_name", [ - "grpc", - "grpc_asyncio", -]) -def test_cloud_memcache_host_no_port(transport_name): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com'), - transport=transport_name, - ) - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - -@pytest.mark.parametrize("transport_name", [ - "grpc", - "grpc_asyncio", -]) -def test_cloud_memcache_host_with_port(transport_name): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com:8000'), - transport=transport_name, - ) - assert client.transport._host == ( - 'memcache.googleapis.com:8000' - ) - -def test_cloud_memcache_grpc_transport_channel(): - channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) - - # Check that channel is used if provided. - transport = transports.CloudMemcacheGrpcTransport( - host="squid.clam.whelk", - channel=channel, - ) - assert transport.grpc_channel == channel - assert transport._host == "squid.clam.whelk:443" - assert transport._ssl_channel_credentials == None - - -def test_cloud_memcache_grpc_asyncio_transport_channel(): - channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) - - # Check that channel is used if provided. - transport = transports.CloudMemcacheGrpcAsyncIOTransport( - host="squid.clam.whelk", - channel=channel, - ) - assert transport.grpc_channel == channel - assert transport._host == "squid.clam.whelk:443" - assert transport._ssl_channel_credentials == None - - -# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are -# removed from grpc/grpc_asyncio transport constructor. -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_transport_channel_mtls_with_client_cert_source( - transport_class -): - with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: - with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: - mock_ssl_cred = mock.Mock() - grpc_ssl_channel_cred.return_value = mock_ssl_cred - - mock_grpc_channel = mock.Mock() - grpc_create_channel.return_value = mock_grpc_channel - - cred = ga_credentials.AnonymousCredentials() - with pytest.warns(DeprecationWarning): - with mock.patch.object(google.auth, 'default') as adc: - adc.return_value = (cred, None) - transport = transport_class( - host="squid.clam.whelk", - api_mtls_endpoint="mtls.squid.clam.whelk", - client_cert_source=client_cert_source_callback, - ) - adc.assert_called_once() - - grpc_ssl_channel_cred.assert_called_once_with( - certificate_chain=b"cert bytes", private_key=b"key bytes" - ) - grpc_create_channel.assert_called_once_with( - "mtls.squid.clam.whelk:443", - credentials=cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_cred, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - assert transport.grpc_channel == mock_grpc_channel - assert transport._ssl_channel_credentials == mock_ssl_cred - - -# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are -# removed from grpc/grpc_asyncio transport constructor. -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_transport_channel_mtls_with_adc( - transport_class -): - mock_ssl_cred = mock.Mock() - with mock.patch.multiple( - "google.auth.transport.grpc.SslCredentials", - __init__=mock.Mock(return_value=None), - ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), - ): - with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: - mock_grpc_channel = mock.Mock() - grpc_create_channel.return_value = mock_grpc_channel - mock_cred = mock.Mock() - - with pytest.warns(DeprecationWarning): - transport = transport_class( - host="squid.clam.whelk", - credentials=mock_cred, - api_mtls_endpoint="mtls.squid.clam.whelk", - client_cert_source=None, - ) - - grpc_create_channel.assert_called_once_with( - "mtls.squid.clam.whelk:443", - credentials=mock_cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_cred, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - assert transport.grpc_channel == mock_grpc_channel - - -def test_cloud_memcache_grpc_lro_client(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - transport = client.transport - - # Ensure that we have a api-core operations client. - assert isinstance( - transport.operations_client, - operations_v1.OperationsClient, - ) - - # Ensure that subsequent calls to the property send the exact same object. - assert transport.operations_client is transport.operations_client - - -def test_cloud_memcache_grpc_lro_async_client(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc_asyncio', - ) - transport = client.transport - - # Ensure that we have a api-core operations client. - assert isinstance( - transport.operations_client, - operations_v1.OperationsAsyncClient, - ) - - # Ensure that subsequent calls to the property send the exact same object. - assert transport.operations_client is transport.operations_client - - -def test_instance_path(): - project = "squid" - location = "clam" - instance = "whelk" - expected = "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) - actual = CloudMemcacheClient.instance_path(project, location, instance) - assert expected == actual - - -def test_parse_instance_path(): - expected = { - "project": "octopus", - "location": "oyster", - "instance": "nudibranch", - } - path = CloudMemcacheClient.instance_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_instance_path(path) - assert expected == actual - -def test_common_billing_account_path(): - billing_account = "cuttlefish" - expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) - actual = CloudMemcacheClient.common_billing_account_path(billing_account) - assert expected == actual - - -def test_parse_common_billing_account_path(): - expected = { - "billing_account": "mussel", - } - path = CloudMemcacheClient.common_billing_account_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_billing_account_path(path) - assert expected == actual - -def test_common_folder_path(): - folder = "winkle" - expected = "folders/{folder}".format(folder=folder, ) - actual = CloudMemcacheClient.common_folder_path(folder) - assert expected == actual - - -def test_parse_common_folder_path(): - expected = { - "folder": "nautilus", - } - path = CloudMemcacheClient.common_folder_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_folder_path(path) - assert expected == actual - -def test_common_organization_path(): - organization = "scallop" - expected = "organizations/{organization}".format(organization=organization, ) - actual = CloudMemcacheClient.common_organization_path(organization) - assert expected == actual - - -def test_parse_common_organization_path(): - expected = { - "organization": "abalone", - } - path = CloudMemcacheClient.common_organization_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_organization_path(path) - assert expected == actual - -def test_common_project_path(): - project = "squid" - expected = "projects/{project}".format(project=project, ) - actual = CloudMemcacheClient.common_project_path(project) - assert expected == actual - - -def test_parse_common_project_path(): - expected = { - "project": "clam", - } - path = CloudMemcacheClient.common_project_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_project_path(path) - assert expected == actual - -def test_common_location_path(): - project = "whelk" - location = "octopus" - expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) - actual = CloudMemcacheClient.common_location_path(project, location) - assert expected == actual - - -def test_parse_common_location_path(): - expected = { - "project": "oyster", - "location": "nudibranch", - } - path = CloudMemcacheClient.common_location_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_location_path(path) - assert expected == actual - - -def test_client_with_default_client_info(): - client_info = gapic_v1.client_info.ClientInfo() - - with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_info=client_info, - ) - prep.assert_called_once_with(client_info) - - with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: - transport_class = CloudMemcacheClient.get_transport_class() - transport = transport_class( - credentials=ga_credentials.AnonymousCredentials(), - client_info=client_info, - ) - prep.assert_called_once_with(client_info) - -@pytest.mark.asyncio -async def test_transport_close_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport="grpc_asyncio", - ) - with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: - async with client: - close.assert_not_called() - close.assert_called_once() - - -def test_transport_close(): - transports = { - "grpc": "_grpc_channel", - } - - for transport, close_name in transports.items(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport - ) - with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: - with client: - close.assert_not_called() - close.assert_called_once() - -def test_client_ctx(): - transports = [ - 'grpc', - ] - for transport in transports: - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport - ) - # Test client calls underlying transport. - with mock.patch.object(type(client.transport), "close") as close: - close.assert_not_called() - with client: - pass - close.assert_called() - -@pytest.mark.parametrize("client_class,transport_class", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport), -]) -def test_api_key_credentials(client_class, transport_class): - with mock.patch.object( - google.auth._default, "get_api_key_credentials", create=True - ) as get_api_key_credentials: - mock_cred = mock.Mock() - get_api_key_credentials.return_value = mock_cred - options = client_options.ClientOptions() - options.api_key = "api_key" - with mock.patch.object(transport_class, "__init__") as patched: - patched.return_value = None - client = client_class(client_options=options) - patched.assert_called_once_with( - credentials=mock_cred, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) diff --git a/tests/unit/gapic/memcache_v1/test_cloud_memcache.py b/tests/unit/gapic/memcache_v1/test_cloud_memcache.py index aae4115..24e3351 100644 --- a/tests/unit/gapic/memcache_v1/test_cloud_memcache.py +++ b/tests/unit/gapic/memcache_v1/test_cloud_memcache.py @@ -235,6 +235,7 @@ def test_cloud_memcache_client_client_options( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is @@ -252,6 +253,7 @@ def test_cloud_memcache_client_client_options( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is @@ -269,6 +271,7 @@ def test_cloud_memcache_client_client_options( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has @@ -298,6 +301,25 @@ def test_cloud_memcache_client_client_options( quota_project_id="octopus", client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, + ) + # Check the case api_endpoint is provided + options = client_options.ClientOptions( + api_audience="https://language.googleapis.com" + ) + with mock.patch.object(transport_class, "__init__") as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience="https://language.googleapis.com", ) @@ -365,6 +387,7 @@ def test_cloud_memcache_client_mtls_env_auto( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # Check the case ADC client cert is provided. Whether client cert is used depends on @@ -399,6 +422,7 @@ def test_cloud_memcache_client_mtls_env_auto( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # Check the case client_cert_source and ADC client cert are not provided. @@ -421,6 +445,7 @@ def test_cloud_memcache_client_mtls_env_auto( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) @@ -535,6 +560,7 @@ def test_cloud_memcache_client_client_options_scopes( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) @@ -573,6 +599,7 @@ def test_cloud_memcache_client_client_options_credentials_file( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) @@ -593,6 +620,7 @@ def test_cloud_memcache_client_client_options_from_dict(): quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) @@ -631,6 +659,7 @@ def test_cloud_memcache_client_create_channel_credentials_file( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # test that the credentials from file are saved and used as the credentials. @@ -2794,6 +2823,29 @@ def test_cloud_memcache_transport_auth_adc(transport_class): ) +@pytest.mark.parametrize( + "transport_class", + [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, + transports.CloudMemcacheRestTransport, + ], +) +def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): + host = "https://language.com" + api_audience_tests = [None, "https://language2.com"] + api_audience_expect = [host, "https://language2.com"] + for t, e in zip(api_audience_tests, api_audience_expect): + with mock.patch.object(google.auth, "default", autospec=True) as adc: + gdch_mock = mock.MagicMock() + type(gdch_mock).with_gdch_audience = mock.PropertyMock( + return_value=gdch_mock + ) + adc.return_value = (gdch_mock, None) + transport_class(host=host, api_audience=t) + gdch_mock.with_gdch_audience.assert_called_once_with(e) + + @pytest.mark.parametrize( "transport_class,grpc_helpers", [ @@ -3294,4 +3346,5 @@ def test_api_key_credentials(client_class, transport_class): quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) diff --git a/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py b/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py index 5867efe..7876f0e 100644 --- a/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py +++ b/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py @@ -235,6 +235,7 @@ def test_cloud_memcache_client_client_options( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is @@ -252,6 +253,7 @@ def test_cloud_memcache_client_client_options( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is @@ -269,6 +271,7 @@ def test_cloud_memcache_client_client_options( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has @@ -298,6 +301,25 @@ def test_cloud_memcache_client_client_options( quota_project_id="octopus", client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, + ) + # Check the case api_endpoint is provided + options = client_options.ClientOptions( + api_audience="https://language.googleapis.com" + ) + with mock.patch.object(transport_class, "__init__") as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience="https://language.googleapis.com", ) @@ -365,6 +387,7 @@ def test_cloud_memcache_client_mtls_env_auto( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # Check the case ADC client cert is provided. Whether client cert is used depends on @@ -399,6 +422,7 @@ def test_cloud_memcache_client_mtls_env_auto( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # Check the case client_cert_source and ADC client cert are not provided. @@ -421,6 +445,7 @@ def test_cloud_memcache_client_mtls_env_auto( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) @@ -535,6 +560,7 @@ def test_cloud_memcache_client_client_options_scopes( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) @@ -573,6 +599,7 @@ def test_cloud_memcache_client_client_options_credentials_file( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) @@ -593,6 +620,7 @@ def test_cloud_memcache_client_client_options_from_dict(): quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) @@ -631,6 +659,7 @@ def test_cloud_memcache_client_create_channel_credentials_file( quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) # test that the credentials from file are saved and used as the credentials. @@ -3060,6 +3089,29 @@ def test_cloud_memcache_transport_auth_adc(transport_class): ) +@pytest.mark.parametrize( + "transport_class", + [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, + transports.CloudMemcacheRestTransport, + ], +) +def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): + host = "https://language.com" + api_audience_tests = [None, "https://language2.com"] + api_audience_expect = [host, "https://language2.com"] + for t, e in zip(api_audience_tests, api_audience_expect): + with mock.patch.object(google.auth, "default", autospec=True) as adc: + gdch_mock = mock.MagicMock() + type(gdch_mock).with_gdch_audience = mock.PropertyMock( + return_value=gdch_mock + ) + adc.return_value = (gdch_mock, None) + transport_class(host=host, api_audience=t) + gdch_mock.with_gdch_audience.assert_called_once_with(e) + + @pytest.mark.parametrize( "transport_class,grpc_helpers", [ @@ -3560,4 +3612,5 @@ def test_api_key_credentials(client_class, transport_class): quota_project_id=None, client_info=transports.base.DEFAULT_CLIENT_INFO, always_use_jwt_access=True, + api_audience=None, ) From 5dfe99596e1f1ad3b6ded318b65bbdf7b2b39acc Mon Sep 17 00:00:00 2001 From: Owl Bot Date: Tue, 5 Jul 2022 23:27:33 +0000 Subject: [PATCH 3/5] chore: use gapic-generator-python 1.1.1 PiperOrigin-RevId: 459095142 Source-Link: https://github.com/googleapis/googleapis/commit/4f1be992601ed740a581a32cedc4e7b6c6a27793 Source-Link: https://github.com/googleapis/googleapis-gen/commit/ae686d9cde4fc3e36d0ac02efb8643b15890c1ed Copy-Tag: eyJwIjoiLmdpdGh1Yi8uT3dsQm90LnlhbWwiLCJoIjoiYWU2ODZkOWNkZTRmYzNlMzZkMGFjMDJlZmI4NjQzYjE1ODkwYzFlZCJ9 --- owl-bot-staging/v1/.coveragerc | 17 + owl-bot-staging/v1/.flake8 | 33 + owl-bot-staging/v1/MANIFEST.in | 2 + owl-bot-staging/v1/README.rst | 49 + owl-bot-staging/v1/docs/conf.py | 376 ++ owl-bot-staging/v1/docs/index.rst | 7 + .../v1/docs/memcache_v1/cloud_memcache.rst | 10 + .../v1/docs/memcache_v1/services.rst | 6 + owl-bot-staging/v1/docs/memcache_v1/types.rst | 7 + .../v1/google/cloud/memcache/__init__.py | 47 + .../v1/google/cloud/memcache/py.typed | 2 + .../v1/google/cloud/memcache_v1/__init__.py | 48 + .../cloud/memcache_v1/gapic_metadata.json | 93 + .../v1/google/cloud/memcache_v1/py.typed | 2 + .../cloud/memcache_v1/services/__init__.py | 15 + .../services/cloud_memcache/__init__.py | 22 + .../services/cloud_memcache/async_client.py | 1089 ++++++ .../services/cloud_memcache/client.py | 1289 +++++++ .../services/cloud_memcache/pagers.py | 139 + .../cloud_memcache/transports/__init__.py | 33 + .../cloud_memcache/transports/base.py | 245 ++ .../cloud_memcache/transports/grpc.py | 463 +++ .../cloud_memcache/transports/grpc_asyncio.py | 462 +++ .../cloud/memcache_v1/types/__init__.py | 44 + .../cloud/memcache_v1/types/cloud_memcache.py | 656 ++++ owl-bot-staging/v1/mypy.ini | 3 + owl-bot-staging/v1/noxfile.py | 180 + ...d_cloud_memcache_apply_parameters_async.py | 49 + ...ed_cloud_memcache_apply_parameters_sync.py | 49 + ...ed_cloud_memcache_create_instance_async.py | 57 + ...ted_cloud_memcache_create_instance_sync.py | 57 + ...ed_cloud_memcache_delete_instance_async.py | 49 + ...ted_cloud_memcache_delete_instance_sync.py | 49 + ...rated_cloud_memcache_get_instance_async.py | 45 + ...erated_cloud_memcache_get_instance_sync.py | 45 + ...ted_cloud_memcache_list_instances_async.py | 46 + ...ated_cloud_memcache_list_instances_sync.py | 46 + ...ed_cloud_memcache_update_instance_async.py | 55 + ...ted_cloud_memcache_update_instance_sync.py | 55 + ..._cloud_memcache_update_parameters_async.py | 49 + ...d_cloud_memcache_update_parameters_sync.py | 49 + .../snippet_metadata_memcache_v1.json | 1197 ++++++ .../v1/scripts/fixup_memcache_v1_keywords.py | 182 + owl-bot-staging/v1/setup.py | 59 + owl-bot-staging/v1/tests/__init__.py | 16 + owl-bot-staging/v1/tests/unit/__init__.py | 16 + .../v1/tests/unit/gapic/__init__.py | 16 + .../tests/unit/gapic/memcache_v1/__init__.py | 16 + .../gapic/memcache_v1/test_cloud_memcache.py | 3119 +++++++++++++++ owl-bot-staging/v1beta2/.coveragerc | 17 + owl-bot-staging/v1beta2/.flake8 | 33 + owl-bot-staging/v1beta2/MANIFEST.in | 2 + owl-bot-staging/v1beta2/README.rst | 49 + owl-bot-staging/v1beta2/docs/conf.py | 376 ++ owl-bot-staging/v1beta2/docs/index.rst | 7 + .../docs/memcache_v1beta2/cloud_memcache.rst | 10 + .../docs/memcache_v1beta2/services.rst | 6 + .../v1beta2/docs/memcache_v1beta2/types.rst | 7 + .../v1beta2/google/cloud/memcache/__init__.py | 53 + .../v1beta2/google/cloud/memcache/py.typed | 2 + .../google/cloud/memcache_v1beta2/__init__.py | 54 + .../memcache_v1beta2/gapic_metadata.json | 103 + .../google/cloud/memcache_v1beta2/py.typed | 2 + .../memcache_v1beta2/services/__init__.py | 15 + .../services/cloud_memcache/__init__.py | 22 + .../services/cloud_memcache/async_client.py | 1227 ++++++ .../services/cloud_memcache/client.py | 1427 +++++++ .../services/cloud_memcache/pagers.py | 139 + .../cloud_memcache/transports/__init__.py | 33 + .../cloud_memcache/transports/base.py | 259 ++ .../cloud_memcache/transports/grpc.py | 490 +++ .../cloud_memcache/transports/grpc_asyncio.py | 489 +++ .../cloud/memcache_v1beta2/types/__init__.py | 50 + .../memcache_v1beta2/types/cloud_memcache.py | 734 ++++ owl-bot-staging/v1beta2/mypy.ini | 3 + owl-bot-staging/v1beta2/noxfile.py | 180 + ...d_cloud_memcache_apply_parameters_async.py | 49 + ...ed_cloud_memcache_apply_parameters_sync.py | 49 + ...ud_memcache_apply_software_update_async.py | 49 + ...oud_memcache_apply_software_update_sync.py | 49 + ...ed_cloud_memcache_create_instance_async.py | 57 + ...ted_cloud_memcache_create_instance_sync.py | 57 + ...ed_cloud_memcache_delete_instance_async.py | 49 + ...ted_cloud_memcache_delete_instance_sync.py | 49 + ...rated_cloud_memcache_get_instance_async.py | 45 + ...erated_cloud_memcache_get_instance_sync.py | 45 + ...ted_cloud_memcache_list_instances_async.py | 46 + ...ated_cloud_memcache_list_instances_sync.py | 46 + ...ed_cloud_memcache_update_instance_async.py | 55 + ...ted_cloud_memcache_update_instance_sync.py | 55 + ..._cloud_memcache_update_parameters_async.py | 49 + ...d_cloud_memcache_update_parameters_sync.py | 49 + .../snippet_metadata_memcache_v1beta2.json | 1374 +++++++ .../fixup_memcache_v1beta2_keywords.py | 183 + owl-bot-staging/v1beta2/setup.py | 59 + owl-bot-staging/v1beta2/tests/__init__.py | 16 + .../v1beta2/tests/unit/__init__.py | 16 + .../v1beta2/tests/unit/gapic/__init__.py | 16 + .../unit/gapic/memcache_v1beta2/__init__.py | 16 + .../memcache_v1beta2/test_cloud_memcache.py | 3374 +++++++++++++++++ 100 files changed, 22301 insertions(+) create mode 100644 owl-bot-staging/v1/.coveragerc create mode 100644 owl-bot-staging/v1/.flake8 create mode 100644 owl-bot-staging/v1/MANIFEST.in create mode 100644 owl-bot-staging/v1/README.rst create mode 100644 owl-bot-staging/v1/docs/conf.py create mode 100644 owl-bot-staging/v1/docs/index.rst create mode 100644 owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst create mode 100644 owl-bot-staging/v1/docs/memcache_v1/services.rst create mode 100644 owl-bot-staging/v1/docs/memcache_v1/types.rst create mode 100644 owl-bot-staging/v1/google/cloud/memcache/__init__.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache/py.typed create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/py.typed create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py create mode 100644 owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py create mode 100644 owl-bot-staging/v1/mypy.ini create mode 100644 owl-bot-staging/v1/noxfile.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py create mode 100644 owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py create mode 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owl-bot-staging/v1beta2/docs/index.rst create mode 100644 owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst create mode 100644 owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst create mode 100644 owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache/py.typed create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py create mode 100644 owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py create mode 100644 owl-bot-staging/v1beta2/mypy.ini create mode 100644 owl-bot-staging/v1beta2/noxfile.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py create mode 100644 owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json create mode 100644 owl-bot-staging/v1beta2/scripts/fixup_memcache_v1beta2_keywords.py create mode 100644 owl-bot-staging/v1beta2/setup.py create mode 100644 owl-bot-staging/v1beta2/tests/__init__.py create mode 100644 owl-bot-staging/v1beta2/tests/unit/__init__.py create mode 100644 owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py create mode 100644 owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py create mode 100644 owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py diff --git a/owl-bot-staging/v1/.coveragerc b/owl-bot-staging/v1/.coveragerc new file mode 100644 index 0000000..028e2ca --- /dev/null +++ b/owl-bot-staging/v1/.coveragerc @@ -0,0 +1,17 @@ +[run] +branch = True + +[report] +show_missing = True +omit = + google/cloud/memcache/__init__.py +exclude_lines = + # Re-enable the standard pragma + pragma: NO COVER + # Ignore debug-only repr + def __repr__ + # Ignore pkg_resources exceptions. + # This is added at the module level as a safeguard for if someone + # generates the code and tries to run it without pip installing. This + # makes it virtually impossible to test properly. + except pkg_resources.DistributionNotFound diff --git a/owl-bot-staging/v1/.flake8 b/owl-bot-staging/v1/.flake8 new file mode 100644 index 0000000..29227d4 --- /dev/null +++ b/owl-bot-staging/v1/.flake8 @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# +# Copyright 2020 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Generated by synthtool. DO NOT EDIT! +[flake8] +ignore = E203, E266, E501, W503 +exclude = + # Exclude generated code. + **/proto/** + **/gapic/** + **/services/** + **/types/** + *_pb2.py + + # Standard linting exemptions. + **/.nox/** + __pycache__, + .git, + *.pyc, + conf.py diff --git a/owl-bot-staging/v1/MANIFEST.in b/owl-bot-staging/v1/MANIFEST.in new file mode 100644 index 0000000..b997504 --- /dev/null +++ b/owl-bot-staging/v1/MANIFEST.in @@ -0,0 +1,2 @@ +recursive-include google/cloud/memcache *.py +recursive-include google/cloud/memcache_v1 *.py diff --git a/owl-bot-staging/v1/README.rst b/owl-bot-staging/v1/README.rst new file mode 100644 index 0000000..672802b --- /dev/null +++ b/owl-bot-staging/v1/README.rst @@ -0,0 +1,49 @@ +Python Client for Google Cloud Memcache API +================================================= + +Quick Start +----------- + +In order to use this library, you first need to go through the following steps: + +1. `Select or create a Cloud Platform project.`_ +2. `Enable billing for your project.`_ +3. Enable the Google Cloud Memcache API. +4. `Setup Authentication.`_ + +.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project +.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project +.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html + +Installation +~~~~~~~~~~~~ + +Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to +create isolated Python environments. The basic problem it addresses is one of +dependencies and versions, and indirectly permissions. + +With `virtualenv`_, it's possible to install this library without needing system +install permissions, and without clashing with the installed system +dependencies. + +.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ + + +Mac/Linux +^^^^^^^^^ + +.. code-block:: console + + python3 -m venv + source /bin/activate + /bin/pip install /path/to/library + + +Windows +^^^^^^^ + +.. code-block:: console + + python3 -m venv + \Scripts\activate + \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/v1/docs/conf.py b/owl-bot-staging/v1/docs/conf.py new file mode 100644 index 0000000..d96922c --- /dev/null +++ b/owl-bot-staging/v1/docs/conf.py @@ -0,0 +1,376 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# +# google-cloud-memcache documentation build configuration file +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys +import os +import shlex + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +sys.path.insert(0, os.path.abspath("..")) + +__version__ = "0.1.0" + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +needs_sphinx = "4.0.1" + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.intersphinx", + "sphinx.ext.coverage", + "sphinx.ext.napoleon", + "sphinx.ext.todo", + "sphinx.ext.viewcode", +] + +# autodoc/autosummary flags +autoclass_content = "both" +autodoc_default_flags = ["members"] +autosummary_generate = True + + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# Allow markdown includes (so releases.md can include CHANGLEOG.md) +# http://www.sphinx-doc.org/en/master/markdown.html +source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +source_suffix = [".rst", ".md"] + +# The encoding of source files. +# source_encoding = 'utf-8-sig' + +# The root toctree document. +root_doc = "index" + +# General information about the project. +project = u"google-cloud-memcache" +copyright = u"2022, Google, LLC" +author = u"Google APIs" # TODO: autogenerate this bit + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The full version, including alpha/beta/rc tags. +release = __version__ +# The short X.Y version. +version = ".".join(release.split(".")[0:2]) + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = None + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +# today = '' +# Else, today_fmt is used as the format for a strftime call. +# today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ["_build"] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +# default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +# add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +# add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +# show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# A list of ignored prefixes for module index sorting. +# modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +# keep_warnings = False + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = True + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = "alabaster" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +html_theme_options = { + "description": "Google Cloud Client Libraries for Python", + "github_user": "googleapis", + "github_repo": "google-cloud-python", + "github_banner": True, + "font_family": "'Roboto', Georgia, sans", + "head_font_family": "'Roboto', Georgia, serif", + "code_font_family": "'Roboto Mono', 'Consolas', monospace", +} + +# Add any paths that contain custom themes here, relative to this directory. +# html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +# html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +# html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +# html_logo = None + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +# html_favicon = None + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ["_static"] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +# html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +# html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +# html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +# html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +# html_additional_pages = {} + +# If false, no module index is generated. +# html_domain_indices = True + +# If false, no index is generated. +# html_use_index = True + +# If true, the index is split into individual pages for each letter. +# html_split_index = False + +# If true, links to the reST sources are added to the pages. +# html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +# html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +# html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +# html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +# html_file_suffix = None + +# Language to be used for generating the HTML full-text search index. +# Sphinx supports the following languages: +# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' +# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' +# html_search_language = 'en' + +# A dictionary with options for the search language support, empty by default. +# Now only 'ja' uses this config value +# html_search_options = {'type': 'default'} + +# The name of a javascript file (relative to the configuration directory) that +# implements a search results scorer. If empty, the default will be used. +# html_search_scorer = 'scorer.js' + +# Output file base name for HTML help builder. +htmlhelp_basename = "google-cloud-memcache-doc" + +# -- Options for warnings ------------------------------------------------------ + + +suppress_warnings = [ + # Temporarily suppress this to avoid "more than one target found for + # cross-reference" warning, which are intractable for us to avoid while in + # a mono-repo. + # See https://github.com/sphinx-doc/sphinx/blob + # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 + "ref.python" +] + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # 'papersize': 'letterpaper', + # The font size ('10pt', '11pt' or '12pt'). + # 'pointsize': '10pt', + # Additional stuff for the LaTeX preamble. + # 'preamble': '', + # Latex figure (float) alignment + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + ( + root_doc, + "google-cloud-memcache.tex", + u"google-cloud-memcache Documentation", + author, + "manual", + ) +] + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +# latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +# latex_use_parts = False + +# If true, show page references after internal links. +# latex_show_pagerefs = False + +# If true, show URL addresses after external links. +# latex_show_urls = False + +# Documents to append as an appendix to all manuals. +# latex_appendices = [] + +# If false, no module index is generated. +# latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + ( + root_doc, + "google-cloud-memcache", + u"Google Cloud Memcache Documentation", + [author], + 1, + ) +] + +# If true, show URL addresses after external links. +# man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + root_doc, + "google-cloud-memcache", + u"google-cloud-memcache Documentation", + author, + "google-cloud-memcache", + "GAPIC library for Google Cloud Memcache API", + "APIs", + ) +] + +# Documents to append as an appendix to all manuals. +# texinfo_appendices = [] + +# If false, no module index is generated. +# texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +# texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +# texinfo_no_detailmenu = False + + +# Example configuration for intersphinx: refer to the Python standard library. +intersphinx_mapping = { + "python": ("http://python.readthedocs.org/en/latest/", None), + "gax": ("https://gax-python.readthedocs.org/en/latest/", None), + "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), + "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), + "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), + "grpc": ("https://grpc.io/grpc/python/", None), + "requests": ("http://requests.kennethreitz.org/en/stable/", None), + "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), + "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), +} + + +# Napoleon settings +napoleon_google_docstring = True +napoleon_numpy_docstring = True +napoleon_include_private_with_doc = False +napoleon_include_special_with_doc = True +napoleon_use_admonition_for_examples = False +napoleon_use_admonition_for_notes = False +napoleon_use_admonition_for_references = False +napoleon_use_ivar = False +napoleon_use_param = True +napoleon_use_rtype = True diff --git a/owl-bot-staging/v1/docs/index.rst b/owl-bot-staging/v1/docs/index.rst new file mode 100644 index 0000000..fcd849b --- /dev/null +++ b/owl-bot-staging/v1/docs/index.rst @@ -0,0 +1,7 @@ +API Reference +------------- +.. toctree:: + :maxdepth: 2 + + memcache_v1/services + memcache_v1/types diff --git a/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst b/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst new file mode 100644 index 0000000..35de375 --- /dev/null +++ b/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst @@ -0,0 +1,10 @@ +CloudMemcache +------------------------------- + +.. automodule:: google.cloud.memcache_v1.services.cloud_memcache + :members: + :inherited-members: + +.. automodule:: google.cloud.memcache_v1.services.cloud_memcache.pagers + :members: + :inherited-members: diff --git a/owl-bot-staging/v1/docs/memcache_v1/services.rst b/owl-bot-staging/v1/docs/memcache_v1/services.rst new file mode 100644 index 0000000..01fd6b8 --- /dev/null +++ b/owl-bot-staging/v1/docs/memcache_v1/services.rst @@ -0,0 +1,6 @@ +Services for Google Cloud Memcache v1 API +========================================= +.. toctree:: + :maxdepth: 2 + + cloud_memcache diff --git a/owl-bot-staging/v1/docs/memcache_v1/types.rst b/owl-bot-staging/v1/docs/memcache_v1/types.rst new file mode 100644 index 0000000..06bda21 --- /dev/null +++ b/owl-bot-staging/v1/docs/memcache_v1/types.rst @@ -0,0 +1,7 @@ +Types for Google Cloud Memcache v1 API +====================================== + +.. automodule:: google.cloud.memcache_v1.types + :members: + :undoc-members: + :show-inheritance: diff --git a/owl-bot-staging/v1/google/cloud/memcache/__init__.py b/owl-bot-staging/v1/google/cloud/memcache/__init__.py new file mode 100644 index 0000000..7d9086e --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache/__init__.py @@ -0,0 +1,47 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from google.cloud.memcache_v1.services.cloud_memcache.client import CloudMemcacheClient +from google.cloud.memcache_v1.services.cloud_memcache.async_client import CloudMemcacheAsyncClient + +from google.cloud.memcache_v1.types.cloud_memcache import ApplyParametersRequest +from google.cloud.memcache_v1.types.cloud_memcache import CreateInstanceRequest +from google.cloud.memcache_v1.types.cloud_memcache import DeleteInstanceRequest +from google.cloud.memcache_v1.types.cloud_memcache import GetInstanceRequest +from google.cloud.memcache_v1.types.cloud_memcache import Instance +from google.cloud.memcache_v1.types.cloud_memcache import ListInstancesRequest +from google.cloud.memcache_v1.types.cloud_memcache import ListInstancesResponse +from google.cloud.memcache_v1.types.cloud_memcache import MemcacheParameters +from google.cloud.memcache_v1.types.cloud_memcache import OperationMetadata +from google.cloud.memcache_v1.types.cloud_memcache import UpdateInstanceRequest +from google.cloud.memcache_v1.types.cloud_memcache import UpdateParametersRequest +from google.cloud.memcache_v1.types.cloud_memcache import MemcacheVersion + +__all__ = ('CloudMemcacheClient', + 'CloudMemcacheAsyncClient', + 'ApplyParametersRequest', + 'CreateInstanceRequest', + 'DeleteInstanceRequest', + 'GetInstanceRequest', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'MemcacheParameters', + 'OperationMetadata', + 'UpdateInstanceRequest', + 'UpdateParametersRequest', + 'MemcacheVersion', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache/py.typed b/owl-bot-staging/v1/google/cloud/memcache/py.typed new file mode 100644 index 0000000..7959cf4 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py new file mode 100644 index 0000000..3f088d6 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py @@ -0,0 +1,48 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from .services.cloud_memcache import CloudMemcacheClient +from .services.cloud_memcache import CloudMemcacheAsyncClient + +from .types.cloud_memcache import ApplyParametersRequest +from .types.cloud_memcache import CreateInstanceRequest +from .types.cloud_memcache import DeleteInstanceRequest +from .types.cloud_memcache import GetInstanceRequest +from .types.cloud_memcache import Instance +from .types.cloud_memcache import ListInstancesRequest +from .types.cloud_memcache import ListInstancesResponse +from .types.cloud_memcache import MemcacheParameters +from .types.cloud_memcache import OperationMetadata +from .types.cloud_memcache import UpdateInstanceRequest +from .types.cloud_memcache import UpdateParametersRequest +from .types.cloud_memcache import MemcacheVersion + +__all__ = ( + 'CloudMemcacheAsyncClient', +'ApplyParametersRequest', +'CloudMemcacheClient', +'CreateInstanceRequest', +'DeleteInstanceRequest', +'GetInstanceRequest', +'Instance', +'ListInstancesRequest', +'ListInstancesResponse', +'MemcacheParameters', +'MemcacheVersion', +'OperationMetadata', +'UpdateInstanceRequest', +'UpdateParametersRequest', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json b/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json new file mode 100644 index 0000000..08d37fa --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json @@ -0,0 +1,93 @@ + { + "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", + "language": "python", + "libraryPackage": "google.cloud.memcache_v1", + "protoPackage": "google.cloud.memcache.v1", + "schema": "1.0", + "services": { + "CloudMemcache": { + "clients": { + "grpc": { + "libraryClient": "CloudMemcacheClient", + "rpcs": { + "ApplyParameters": { + "methods": [ + "apply_parameters" + ] + }, + "CreateInstance": { + "methods": [ + "create_instance" + ] + }, + "DeleteInstance": { + "methods": [ + "delete_instance" + ] + }, + "GetInstance": { + "methods": [ + "get_instance" + ] + }, + "ListInstances": { + "methods": [ + "list_instances" + ] + }, + "UpdateInstance": { + "methods": [ + "update_instance" + ] + }, + "UpdateParameters": { + "methods": [ + "update_parameters" + ] + } + } + }, + "grpc-async": { + "libraryClient": "CloudMemcacheAsyncClient", + "rpcs": { + "ApplyParameters": { + "methods": [ + "apply_parameters" + ] + }, + "CreateInstance": { + "methods": [ + "create_instance" + ] + }, + "DeleteInstance": { + "methods": [ + "delete_instance" + ] + }, + "GetInstance": { + "methods": [ + "get_instance" + ] + }, + "ListInstances": { + "methods": [ + "list_instances" + ] + }, + "UpdateInstance": { + "methods": [ + "update_instance" + ] + }, + "UpdateParameters": { + "methods": [ + "update_parameters" + ] + } + } + } + } + } + } +} diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed b/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed new file mode 100644 index 0000000..7959cf4 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py new file mode 100644 index 0000000..e8e1c38 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py @@ -0,0 +1,15 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py new file mode 100644 index 0000000..a7034a9 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import CloudMemcacheClient +from .async_client import CloudMemcacheAsyncClient + +__all__ = ( + 'CloudMemcacheClient', + 'CloudMemcacheAsyncClient', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py new file mode 100644 index 0000000..d79ba21 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py @@ -0,0 +1,1089 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import functools +import re +from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union +import pkg_resources + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.memcache_v1.services.cloud_memcache import pagers +from google.cloud.memcache_v1.types import cloud_memcache +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport +from .client import CloudMemcacheClient + + +class CloudMemcacheAsyncClient: + """Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + """ + + _client: CloudMemcacheClient + + DEFAULT_ENDPOINT = CloudMemcacheClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = CloudMemcacheClient.DEFAULT_MTLS_ENDPOINT + + instance_path = staticmethod(CloudMemcacheClient.instance_path) + parse_instance_path = staticmethod(CloudMemcacheClient.parse_instance_path) + common_billing_account_path = staticmethod(CloudMemcacheClient.common_billing_account_path) + parse_common_billing_account_path = staticmethod(CloudMemcacheClient.parse_common_billing_account_path) + common_folder_path = staticmethod(CloudMemcacheClient.common_folder_path) + parse_common_folder_path = staticmethod(CloudMemcacheClient.parse_common_folder_path) + common_organization_path = staticmethod(CloudMemcacheClient.common_organization_path) + parse_common_organization_path = staticmethod(CloudMemcacheClient.parse_common_organization_path) + common_project_path = staticmethod(CloudMemcacheClient.common_project_path) + parse_common_project_path = staticmethod(CloudMemcacheClient.parse_common_project_path) + common_location_path = staticmethod(CloudMemcacheClient.common_location_path) + parse_common_location_path = staticmethod(CloudMemcacheClient.parse_common_location_path) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheAsyncClient: The constructed client. + """ + return CloudMemcacheClient.from_service_account_info.__func__(CloudMemcacheAsyncClient, info, *args, **kwargs) # type: ignore + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheAsyncClient: The constructed client. + """ + return CloudMemcacheClient.from_service_account_file.__func__(CloudMemcacheAsyncClient, filename, *args, **kwargs) # type: ignore + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variabel is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return CloudMemcacheClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> CloudMemcacheTransport: + """Returns the transport used by the client instance. + + Returns: + CloudMemcacheTransport: The transport used by the client instance. + """ + return self._client.transport + + get_transport_class = functools.partial(type(CloudMemcacheClient).get_transport_class, type(CloudMemcacheClient)) + + def __init__(self, *, + credentials: ga_credentials.Credentials = None, + transport: Union[str, CloudMemcacheTransport] = "grpc_asyncio", + client_options: ClientOptions = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the cloud memcache client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, ~.CloudMemcacheTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (ClientOptions): Custom options for the client. It + won't take effect if a ``transport`` instance is provided. + (1) The ``api_endpoint`` property can be used to override the + default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT + environment variable can also be used to override the endpoint: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto switch to the + default mTLS endpoint if client certificate is present, this is + the default value). However, the ``api_endpoint`` property takes + precedence if provided. + (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide client certificate for mutual TLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = CloudMemcacheClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + + ) + + async def list_instances(self, + request: Union[cloud_memcache.ListInstancesRequest, dict] = None, + *, + parent: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListInstancesAsyncPager: + r"""Lists Instances in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_list_instances(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]): + The request object. Request for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + parent (:class:`str`): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesAsyncPager: + Response for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.ListInstancesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_instances, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListInstancesAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_instance(self, + request: Union[cloud_memcache.GetInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> cloud_memcache.Instance: + r"""Gets details of a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_get_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = await client.get_instance(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]): + The request object. Request for + [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. + name (:class:`str`): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1.types.Instance: + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.GetInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def create_instance(self, + request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, + *, + parent: str = None, + instance: cloud_memcache.Instance = None, + instance_id: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new Instance in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_create_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + instance=instance, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]): + The request object. Request for + [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. + parent (:class:`str`): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance (:class:`google.cloud.memcache_v1.types.Instance`): + Required. A Memcached Instance + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance_id (:class:`str`): + Required. The logical name of the Memcached instance in + the user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location + + If any of the above are not met, will raise an invalid + argument error. + + This corresponds to the ``instance_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, instance, instance_id]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.CreateInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if instance is not None: + request.instance = instance + if instance_id is not None: + request.instance_id = instance_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.create_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def update_instance(self, + request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, + *, + instance: cloud_memcache.Instance = None, + update_mask: field_mask_pb2.FieldMask = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates an existing Instance in a given project and + location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_update_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.UpdateInstanceRequest( + instance=instance, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]): + The request object. Request for + [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. + instance (:class:`google.cloud.memcache_v1.types.Instance`): + Required. A Memcached Instance. Only fields specified in + update_mask are updated. + + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. Mask of fields to update. + + - ``displayName`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([instance, update_mask]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.UpdateInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if instance is not None: + request.instance = instance + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.update_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("instance.name", request.instance.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def update_parameters(self, + request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, + *, + name: str = None, + update_mask: field_mask_pb2.FieldMask = None, + parameters: cloud_memcache.MemcacheParameters = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates the defined Memcached Parameters for an + existing Instance. This method only stages the + parameters, it must be followed by ApplyParameters to + apply the parameters to nodes of the Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_update_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.UpdateParametersRequest, dict]): + The request object. Request for + [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. + name (:class:`str`): + Required. Resource name of the + Memcached instance for which the + parameters should be updated. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. Mask of fields to update. + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + parameters (:class:`google.cloud.memcache_v1.types.MemcacheParameters`): + The parameters to apply to the + instance. + + This corresponds to the ``parameters`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, update_mask, parameters]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.UpdateParametersRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if update_mask is not None: + request.update_mask = update_mask + if parameters is not None: + request.parameters = parameters + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.update_parameters, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_instance(self, + request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_delete_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]): + The request object. Request for + [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. + name (:class:`str`): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + The JSON representation for Empty is empty JSON + object {}. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.DeleteInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.delete_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def apply_parameters(self, + request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, + *, + name: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""ApplyParameters will restart the set of specified + nodes in order to update them to the current set of + parameters for the Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + async def sample_apply_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.ApplyParametersRequest, dict]): + The request object. Request for + [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. + name (:class:`str`): + Required. Resource name of the + Memcached instance for which parameter + group updates should be applied. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (:class:`Sequence[str]`): + Nodes to which we should apply the + instance-level parameter group. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (:class:`bool`): + Whether to apply instance-level + parameter group to all nodes. If set to + true, will explicitly restrict users + from specifying any nodes, and apply + parameter group updates to all nodes + within the instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.ApplyParametersRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if apply_all is not None: + request.apply_all = apply_all + if node_ids: + request.node_ids.extend(node_ids) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.apply_parameters, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self): + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + "google-cloud-memcache", + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +__all__ = ( + "CloudMemcacheAsyncClient", +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py new file mode 100644 index 0000000..6db9fe3 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py @@ -0,0 +1,1289 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import os +import re +from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union +import pkg_resources + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.memcache_v1.services.cloud_memcache import pagers +from google.cloud.memcache_v1.types import cloud_memcache +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import CloudMemcacheGrpcTransport +from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport + + +class CloudMemcacheClientMeta(type): + """Metaclass for the CloudMemcache client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + _transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] + _transport_registry["grpc"] = CloudMemcacheGrpcTransport + _transport_registry["grpc_asyncio"] = CloudMemcacheGrpcAsyncIOTransport + + def get_transport_class(cls, + label: str = None, + ) -> Type[CloudMemcacheTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class CloudMemcacheClient(metaclass=CloudMemcacheClientMeta): + """Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + DEFAULT_ENDPOINT = "memcache.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file( + filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> CloudMemcacheTransport: + """Returns the transport used by the client instance. + + Returns: + CloudMemcacheTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def instance_path(project: str,location: str,instance: str,) -> str: + """Returns a fully-qualified instance string.""" + return "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) + + @staticmethod + def parse_instance_path(path: str) -> Dict[str,str]: + """Parses a instance path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/instances/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path(billing_account: str, ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str,str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path(folder: str, ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format(folder=folder, ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str,str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path(organization: str, ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format(organization=organization, ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str,str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path(project: str, ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format(project=project, ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str,str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path(project: str, location: str, ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format(project=project, location=location, ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str,str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variabel is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert == "true": + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Union[str, CloudMemcacheTransport, None] = None, + client_options: Optional[client_options_lib.ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the cloud memcache client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, CloudMemcacheTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. It won't take effect if a ``transport`` instance is provided. + (1) The ``api_endpoint`` property can be used to override the + default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT + environment variable can also be used to override the endpoint: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto switch to the + default mTLS endpoint if client certificate is present, this is + the default value). However, the ``api_endpoint`` property takes + precedence if provided. + (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide client certificate for mutual TLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + if isinstance(client_options, dict): + client_options = client_options_lib.from_dict(client_options) + if client_options is None: + client_options = client_options_lib.ClientOptions() + + api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(client_options) + + api_key_value = getattr(client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError("client_options.api_key and credentials are mutually exclusive") + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + if isinstance(transport, CloudMemcacheTransport): + # transport is a CloudMemcacheTransport instance. + if credentials or client_options.credentials_file or api_key_value: + raise ValueError("When providing a transport instance, " + "provide its credentials directly.") + if client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = transport + else: + import google.auth._default # type: ignore + + if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): + credentials = google.auth._default.get_api_key_credentials(api_key_value) + + Transport = type(self).get_transport_class(transport) + self._transport = Transport( + credentials=credentials, + credentials_file=client_options.credentials_file, + host=api_endpoint, + scopes=client_options.scopes, + client_cert_source_for_mtls=client_cert_source_func, + quota_project_id=client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=client_options.api_audience, + ) + + def list_instances(self, + request: Union[cloud_memcache.ListInstancesRequest, dict] = None, + *, + parent: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListInstancesPager: + r"""Lists Instances in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_list_instances(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]): + The request object. Request for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + parent (str): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesPager: + Response for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.ListInstancesRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.ListInstancesRequest): + request = cloud_memcache.ListInstancesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_instances] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListInstancesPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_instance(self, + request: Union[cloud_memcache.GetInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> cloud_memcache.Instance: + r"""Gets details of a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_get_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = client.get_instance(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]): + The request object. Request for + [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. + name (str): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1.types.Instance: + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.GetInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.GetInstanceRequest): + request = cloud_memcache.GetInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def create_instance(self, + request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, + *, + parent: str = None, + instance: cloud_memcache.Instance = None, + instance_id: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Creates a new Instance in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_create_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + instance=instance, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]): + The request object. Request for + [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. + parent (str): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance (google.cloud.memcache_v1.types.Instance): + Required. A Memcached Instance + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance_id (str): + Required. The logical name of the Memcached instance in + the user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location + + If any of the above are not met, will raise an invalid + argument error. + + This corresponds to the ``instance_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, instance, instance_id]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.CreateInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.CreateInstanceRequest): + request = cloud_memcache.CreateInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if instance is not None: + request.instance = instance + if instance_id is not None: + request.instance_id = instance_id + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def update_instance(self, + request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, + *, + instance: cloud_memcache.Instance = None, + update_mask: field_mask_pb2.FieldMask = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates an existing Instance in a given project and + location. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_update_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.UpdateInstanceRequest( + instance=instance, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]): + The request object. Request for + [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. + instance (google.cloud.memcache_v1.types.Instance): + Required. A Memcached Instance. Only fields specified in + update_mask are updated. + + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + + - ``displayName`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([instance, update_mask]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.UpdateInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.UpdateInstanceRequest): + request = cloud_memcache.UpdateInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if instance is not None: + request.instance = instance + if update_mask is not None: + request.update_mask = update_mask + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("instance.name", request.instance.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def update_parameters(self, + request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, + *, + name: str = None, + update_mask: field_mask_pb2.FieldMask = None, + parameters: cloud_memcache.MemcacheParameters = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates the defined Memcached Parameters for an + existing Instance. This method only stages the + parameters, it must be followed by ApplyParameters to + apply the parameters to nodes of the Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_update_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.UpdateParametersRequest, dict]): + The request object. Request for + [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. + name (str): + Required. Resource name of the + Memcached instance for which the + parameters should be updated. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + parameters (google.cloud.memcache_v1.types.MemcacheParameters): + The parameters to apply to the + instance. + + This corresponds to the ``parameters`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, update_mask, parameters]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.UpdateParametersRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.UpdateParametersRequest): + request = cloud_memcache.UpdateParametersRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if update_mask is not None: + request.update_mask = update_mask + if parameters is not None: + request.parameters = parameters + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_parameters] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def delete_instance(self, + request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deletes a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_delete_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]): + The request object. Request for + [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. + name (str): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + The JSON representation for Empty is empty JSON + object {}. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.DeleteInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.DeleteInstanceRequest): + request = cloud_memcache.DeleteInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def apply_parameters(self, + request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, + *, + name: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""ApplyParameters will restart the set of specified + nodes in order to update them to the current set of + parameters for the Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1 + + def sample_apply_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1.types.ApplyParametersRequest, dict]): + The request object. Request for + [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. + name (str): + Required. Resource name of the + Memcached instance for which parameter + group updates should be applied. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (Sequence[str]): + Nodes to which we should apply the + instance-level parameter group. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (bool): + Whether to apply instance-level + parameter group to all nodes. If set to + true, will explicitly restrict users + from specifying any nodes, and apply + parameter group updates to all nodes + within the instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1.types.Instance` + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.ApplyParametersRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.ApplyParametersRequest): + request = cloud_memcache.ApplyParametersRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if node_ids is not None: + request.node_ids = node_ids + if apply_all is not None: + request.apply_all = apply_all + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.apply_parameters] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self): + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + + + + + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + "google-cloud-memcache", + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +__all__ = ( + "CloudMemcacheClient", +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py new file mode 100644 index 0000000..72ba239 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py @@ -0,0 +1,139 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator + +from google.cloud.memcache_v1.types import cloud_memcache + + +class ListInstancesPager: + """A pager for iterating through ``list_instances`` requests. + + This class thinly wraps an initial + :class:`google.cloud.memcache_v1.types.ListInstancesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``instances`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListInstances`` requests and continue to iterate + through the ``instances`` field on the + corresponding responses. + + All the usual :class:`google.cloud.memcache_v1.types.ListInstancesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., cloud_memcache.ListInstancesResponse], + request: cloud_memcache.ListInstancesRequest, + response: cloud_memcache.ListInstancesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.memcache_v1.types.ListInstancesRequest): + The initial request object. + response (google.cloud.memcache_v1.types.ListInstancesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = cloud_memcache.ListInstancesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[cloud_memcache.ListInstancesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[cloud_memcache.Instance]: + for page in self.pages: + yield from page.instances + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListInstancesAsyncPager: + """A pager for iterating through ``list_instances`` requests. + + This class thinly wraps an initial + :class:`google.cloud.memcache_v1.types.ListInstancesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``instances`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListInstances`` requests and continue to iterate + through the ``instances`` field on the + corresponding responses. + + All the usual :class:`google.cloud.memcache_v1.types.ListInstancesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[cloud_memcache.ListInstancesResponse]], + request: cloud_memcache.ListInstancesRequest, + response: cloud_memcache.ListInstancesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.memcache_v1.types.ListInstancesRequest): + The initial request object. + response (google.cloud.memcache_v1.types.ListInstancesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = cloud_memcache.ListInstancesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[cloud_memcache.ListInstancesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[cloud_memcache.Instance]: + async def async_generator(): + async for page in self.pages: + for response in page.instances: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py new file mode 100644 index 0000000..6067238 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type + +from .base import CloudMemcacheTransport +from .grpc import CloudMemcacheGrpcTransport +from .grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] +_transport_registry['grpc'] = CloudMemcacheGrpcTransport +_transport_registry['grpc_asyncio'] = CloudMemcacheGrpcAsyncIOTransport + +__all__ = ( + 'CloudMemcacheTransport', + 'CloudMemcacheGrpcTransport', + 'CloudMemcacheGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py new file mode 100644 index 0000000..2d241a2 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py @@ -0,0 +1,245 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union +import pkg_resources + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +from google.cloud.memcache_v1.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + 'google-cloud-memcache', + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +class CloudMemcacheTransport(abc.ABC): + """Abstract transport class for CloudMemcache.""" + + AUTH_SCOPES = ( + 'https://www.googleapis.com/auth/cloud-platform', + ) + + DEFAULT_HOST: str = 'memcache.googleapis.com' + def __init__( + self, *, + host: str = DEFAULT_HOST, + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} + + # Save the scopes. + self._scopes = scopes + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + **scopes_kwargs, + quota_project_id=quota_project_id + ) + elif credentials is None: + credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience(api_audience if api_audience else host) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ':' not in host: + host += ':443' + self._host = host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.list_instances: gapic_v1.method.wrap_method( + self.list_instances, + default_timeout=1200.0, + client_info=client_info, + ), + self.get_instance: gapic_v1.method.wrap_method( + self.get_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.create_instance: gapic_v1.method.wrap_method( + self.create_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.update_instance: gapic_v1.method.wrap_method( + self.update_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.update_parameters: gapic_v1.method.wrap_method( + self.update_parameters, + default_timeout=1200.0, + client_info=client_info, + ), + self.delete_instance: gapic_v1.method.wrap_method( + self.delete_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.apply_parameters: gapic_v1.method.wrap_method( + self.apply_parameters, + default_timeout=1200.0, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + Union[ + cloud_memcache.ListInstancesResponse, + Awaitable[cloud_memcache.ListInstancesResponse] + ]]: + raise NotImplementedError() + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + Union[ + cloud_memcache.Instance, + Awaitable[cloud_memcache.Instance] + ]]: + raise NotImplementedError() + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ( + 'CloudMemcacheTransport', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py new file mode 100644 index 0000000..fc10b60 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py @@ -0,0 +1,463 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore + +from google.cloud.memcache_v1.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore +from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO + + +class CloudMemcacheGrpcTransport(CloudMemcacheTransport): + """gRPC backend transport for CloudMemcache. + + Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + _stubs: Dict[str, Callable] + + def __init__(self, *, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: str = None, + scopes: Sequence[str] = None, + channel: grpc.Channel = None, + api_mtls_endpoint: str = None, + client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, + ssl_channel_credentials: grpc.ChannelCredentials = None, + client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + channel (Optional[grpc.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel(cls, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: str = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service. + """ + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + cloud_memcache.ListInstancesResponse]: + r"""Return a callable for the list instances method over gRPC. + + Lists Instances in a given location. + + Returns: + Callable[[~.ListInstancesRequest], + ~.ListInstancesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_instances' not in self._stubs: + self._stubs['list_instances'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/ListInstances', + request_serializer=cloud_memcache.ListInstancesRequest.serialize, + response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, + ) + return self._stubs['list_instances'] + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + cloud_memcache.Instance]: + r"""Return a callable for the get instance method over gRPC. + + Gets details of a single Instance. + + Returns: + Callable[[~.GetInstanceRequest], + ~.Instance]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_instance' not in self._stubs: + self._stubs['get_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/GetInstance', + request_serializer=cloud_memcache.GetInstanceRequest.serialize, + response_deserializer=cloud_memcache.Instance.deserialize, + ) + return self._stubs['get_instance'] + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the create instance method over gRPC. + + Creates a new Instance in a given location. + + Returns: + Callable[[~.CreateInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_instance' not in self._stubs: + self._stubs['create_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/CreateInstance', + request_serializer=cloud_memcache.CreateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['create_instance'] + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the update instance method over gRPC. + + Updates an existing Instance in a given project and + location. + + Returns: + Callable[[~.UpdateInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_instance' not in self._stubs: + self._stubs['update_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/UpdateInstance', + request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_instance'] + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + operations_pb2.Operation]: + r"""Return a callable for the update parameters method over gRPC. + + Updates the defined Memcached Parameters for an + existing Instance. This method only stages the + parameters, it must be followed by ApplyParameters to + apply the parameters to nodes of the Memcached Instance. + + Returns: + Callable[[~.UpdateParametersRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_parameters' not in self._stubs: + self._stubs['update_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/UpdateParameters', + request_serializer=cloud_memcache.UpdateParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_parameters'] + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the delete instance method over gRPC. + + Deletes a single Instance. + + Returns: + Callable[[~.DeleteInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_instance' not in self._stubs: + self._stubs['delete_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/DeleteInstance', + request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_instance'] + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + operations_pb2.Operation]: + r"""Return a callable for the apply parameters method over gRPC. + + ApplyParameters will restart the set of specified + nodes in order to update them to the current set of + parameters for the Memcached Instance. + + Returns: + Callable[[~.ApplyParametersRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_parameters' not in self._stubs: + self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/ApplyParameters', + request_serializer=cloud_memcache.ApplyParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_parameters'] + + def close(self): + self.grpc_channel.close() + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ( + 'CloudMemcacheGrpcTransport', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py new file mode 100644 index 0000000..fb5e898 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py @@ -0,0 +1,462 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.memcache_v1.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore +from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .grpc import CloudMemcacheGrpcTransport + + +class CloudMemcacheGrpcAsyncIOTransport(CloudMemcacheTransport): + """gRPC AsyncIO backend transport for CloudMemcache. + + Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel(cls, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + def __init__(self, *, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: aio.Channel = None, + api_mtls_endpoint: str = None, + client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, + ssl_channel_credentials: grpc.ChannelCredentials = None, + client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, + quota_project_id=None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[aio.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + Awaitable[cloud_memcache.ListInstancesResponse]]: + r"""Return a callable for the list instances method over gRPC. + + Lists Instances in a given location. + + Returns: + Callable[[~.ListInstancesRequest], + Awaitable[~.ListInstancesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_instances' not in self._stubs: + self._stubs['list_instances'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/ListInstances', + request_serializer=cloud_memcache.ListInstancesRequest.serialize, + response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, + ) + return self._stubs['list_instances'] + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + Awaitable[cloud_memcache.Instance]]: + r"""Return a callable for the get instance method over gRPC. + + Gets details of a single Instance. + + Returns: + Callable[[~.GetInstanceRequest], + Awaitable[~.Instance]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_instance' not in self._stubs: + self._stubs['get_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/GetInstance', + request_serializer=cloud_memcache.GetInstanceRequest.serialize, + response_deserializer=cloud_memcache.Instance.deserialize, + ) + return self._stubs['get_instance'] + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the create instance method over gRPC. + + Creates a new Instance in a given location. + + Returns: + Callable[[~.CreateInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_instance' not in self._stubs: + self._stubs['create_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/CreateInstance', + request_serializer=cloud_memcache.CreateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['create_instance'] + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the update instance method over gRPC. + + Updates an existing Instance in a given project and + location. + + Returns: + Callable[[~.UpdateInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_instance' not in self._stubs: + self._stubs['update_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/UpdateInstance', + request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_instance'] + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the update parameters method over gRPC. + + Updates the defined Memcached Parameters for an + existing Instance. This method only stages the + parameters, it must be followed by ApplyParameters to + apply the parameters to nodes of the Memcached Instance. + + Returns: + Callable[[~.UpdateParametersRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_parameters' not in self._stubs: + self._stubs['update_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/UpdateParameters', + request_serializer=cloud_memcache.UpdateParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_parameters'] + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the delete instance method over gRPC. + + Deletes a single Instance. + + Returns: + Callable[[~.DeleteInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_instance' not in self._stubs: + self._stubs['delete_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/DeleteInstance', + request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_instance'] + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the apply parameters method over gRPC. + + ApplyParameters will restart the set of specified + nodes in order to update them to the current set of + parameters for the Memcached Instance. + + Returns: + Callable[[~.ApplyParametersRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_parameters' not in self._stubs: + self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1.CloudMemcache/ApplyParameters', + request_serializer=cloud_memcache.ApplyParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_parameters'] + + def close(self): + return self.grpc_channel.close() + + +__all__ = ( + 'CloudMemcacheGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py new file mode 100644 index 0000000..32b3497 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py @@ -0,0 +1,44 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .cloud_memcache import ( + ApplyParametersRequest, + CreateInstanceRequest, + DeleteInstanceRequest, + GetInstanceRequest, + Instance, + ListInstancesRequest, + ListInstancesResponse, + MemcacheParameters, + OperationMetadata, + UpdateInstanceRequest, + UpdateParametersRequest, + MemcacheVersion, +) + +__all__ = ( + 'ApplyParametersRequest', + 'CreateInstanceRequest', + 'DeleteInstanceRequest', + 'GetInstanceRequest', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'MemcacheParameters', + 'OperationMetadata', + 'UpdateInstanceRequest', + 'UpdateParametersRequest', + 'MemcacheVersion', +) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py b/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py new file mode 100644 index 0000000..f575bf7 --- /dev/null +++ b/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py @@ -0,0 +1,656 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import proto # type: ignore + +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.memcache.v1', + manifest={ + 'MemcacheVersion', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'GetInstanceRequest', + 'CreateInstanceRequest', + 'UpdateInstanceRequest', + 'DeleteInstanceRequest', + 'ApplyParametersRequest', + 'UpdateParametersRequest', + 'MemcacheParameters', + 'OperationMetadata', + }, +) + + +class MemcacheVersion(proto.Enum): + r"""Memcached versions supported by our service.""" + MEMCACHE_VERSION_UNSPECIFIED = 0 + MEMCACHE_1_5 = 1 + + +class Instance(proto.Message): + r""" + + Attributes: + name (str): + Required. Unique name of the resource in this scope + including project and location using the form: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note: Memcached instances are managed and addressed at + regional level so location_id here refers to a GCP region; + however, users may choose which zones Memcached nodes within + an instances should be provisioned in. Refer to [zones] + field for more details. + display_name (str): + User provided name for the instance only used + for display purposes. Cannot be more than 80 + characters. + labels (Mapping[str, str]): + Resource labels to represent user-provided + metadata. Refer to cloud documentation on labels + for more details. + https://cloud.google.com/compute/docs/labeling-resources + authorized_network (str): + The full name of the Google Compute Engine + `network `__ + to which the instance is connected. If left unspecified, the + ``default`` network will be used. + zones (Sequence[str]): + Zones where Memcached nodes should be + provisioned in. Memcached nodes will be equally + distributed across these zones. If not provided, + the service will by default create nodes in all + zones in the region for the instance. + node_count (int): + Required. Number of nodes in the Memcached + instance. + node_config (google.cloud.memcache_v1.types.Instance.NodeConfig): + Required. Configuration for Memcached nodes. + memcache_version (google.cloud.memcache_v1.types.MemcacheVersion): + The major version of Memcached software. If not provided, + latest supported version will be used. Currently the latest + supported major version is MEMCACHE_1_5. The minor version + will be automatically determined by our system based on the + latest supported minor version. + parameters (google.cloud.memcache_v1.types.MemcacheParameters): + Optional: User defined parameters to apply to + the memcached process on each node. + memcache_nodes (Sequence[google.cloud.memcache_v1.types.Instance.Node]): + Output only. List of Memcached nodes. Refer to [Node] + message for more details. + create_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. The time the instance was + created. + update_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. The time the instance was + updated. + state (google.cloud.memcache_v1.types.Instance.State): + Output only. The state of this Memcached + instance. + memcache_full_version (str): + Output only. The full version of memcached + server running on this instance. System + automatically determines the full memcached + version for an instance based on the input + MemcacheVersion. + The full version format will be + "memcached-1.5.16". + instance_messages (Sequence[google.cloud.memcache_v1.types.Instance.InstanceMessage]): + List of messages that describe current + statuses of memcached instance. + discovery_endpoint (str): + Output only. Endpoint for Discovery API + """ + class State(proto.Enum): + r"""Different states of a Memcached instance.""" + STATE_UNSPECIFIED = 0 + CREATING = 1 + READY = 2 + DELETING = 4 + PERFORMING_MAINTENANCE = 5 + + class NodeConfig(proto.Message): + r"""Configuration for a Memcached Node. + + Attributes: + cpu_count (int): + Required. Number of cpus per Memcached node. + memory_size_mb (int): + Required. Memory size in MiB for each + Memcached node. + """ + + cpu_count = proto.Field( + proto.INT32, + number=1, + ) + memory_size_mb = proto.Field( + proto.INT32, + number=2, + ) + + class Node(proto.Message): + r""" + + Attributes: + node_id (str): + Output only. Identifier of the Memcached + node. The node id does not include project or + location like the Memcached instance name. + zone (str): + Output only. Location (GCP Zone) for the + Memcached node. + state (google.cloud.memcache_v1.types.Instance.Node.State): + Output only. Current state of the Memcached + node. + host (str): + Output only. Hostname or IP address of the + Memcached node used by the clients to connect to + the Memcached server on this node. + port (int): + Output only. The port number of the Memcached + server on this node. + parameters (google.cloud.memcache_v1.types.MemcacheParameters): + User defined parameters currently applied to + the node. + """ + class State(proto.Enum): + r"""Different states of a Memcached node.""" + STATE_UNSPECIFIED = 0 + CREATING = 1 + READY = 2 + DELETING = 3 + UPDATING = 4 + + node_id = proto.Field( + proto.STRING, + number=1, + ) + zone = proto.Field( + proto.STRING, + number=2, + ) + state = proto.Field( + proto.ENUM, + number=3, + enum='Instance.Node.State', + ) + host = proto.Field( + proto.STRING, + number=4, + ) + port = proto.Field( + proto.INT32, + number=5, + ) + parameters = proto.Field( + proto.MESSAGE, + number=6, + message='MemcacheParameters', + ) + + class InstanceMessage(proto.Message): + r""" + + Attributes: + code (google.cloud.memcache_v1.types.Instance.InstanceMessage.Code): + A code that correspond to one type of + user-facing message. + message (str): + Message on memcached instance which will be + exposed to users. + """ + class Code(proto.Enum): + r"""""" + CODE_UNSPECIFIED = 0 + ZONE_DISTRIBUTION_UNBALANCED = 1 + + code = proto.Field( + proto.ENUM, + number=1, + enum='Instance.InstanceMessage.Code', + ) + message = proto.Field( + proto.STRING, + number=2, + ) + + name = proto.Field( + proto.STRING, + number=1, + ) + display_name = proto.Field( + proto.STRING, + number=2, + ) + labels = proto.MapField( + proto.STRING, + proto.STRING, + number=3, + ) + authorized_network = proto.Field( + proto.STRING, + number=4, + ) + zones = proto.RepeatedField( + proto.STRING, + number=5, + ) + node_count = proto.Field( + proto.INT32, + number=6, + ) + node_config = proto.Field( + proto.MESSAGE, + number=7, + message=NodeConfig, + ) + memcache_version = proto.Field( + proto.ENUM, + number=9, + enum='MemcacheVersion', + ) + parameters = proto.Field( + proto.MESSAGE, + number=11, + message='MemcacheParameters', + ) + memcache_nodes = proto.RepeatedField( + proto.MESSAGE, + number=12, + message=Node, + ) + create_time = proto.Field( + proto.MESSAGE, + number=13, + message=timestamp_pb2.Timestamp, + ) + update_time = proto.Field( + proto.MESSAGE, + number=14, + message=timestamp_pb2.Timestamp, + ) + state = proto.Field( + proto.ENUM, + number=15, + enum=State, + ) + memcache_full_version = proto.Field( + proto.STRING, + number=18, + ) + instance_messages = proto.RepeatedField( + proto.MESSAGE, + number=19, + message=InstanceMessage, + ) + discovery_endpoint = proto.Field( + proto.STRING, + number=20, + ) + + +class ListInstancesRequest(proto.Message): + r"""Request for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + + Attributes: + parent (str): + Required. The resource name of the instance location using + the form: ``projects/{project_id}/locations/{location_id}`` + where ``location_id`` refers to a GCP region + page_size (int): + The maximum number of items to return. + + If not specified, a default value of 1000 will be used by + the service. Regardless of the page_size value, the response + may include a partial list and a caller should only rely on + response's + [next_page_token][CloudMemcache.ListInstancesResponse.next_page_token] + to determine if there are more instances left to be queried. + page_token (str): + The next_page_token value returned from a previous List + request, if any. + filter (str): + List filter. For example, exclude all + Memcached instances with name as my-instance by + specifying "name != my-instance". + order_by (str): + Sort results. Supported values are "name", + "name desc" or "" (unsorted). + """ + + parent = proto.Field( + proto.STRING, + number=1, + ) + page_size = proto.Field( + proto.INT32, + number=2, + ) + page_token = proto.Field( + proto.STRING, + number=3, + ) + filter = proto.Field( + proto.STRING, + number=4, + ) + order_by = proto.Field( + proto.STRING, + number=5, + ) + + +class ListInstancesResponse(proto.Message): + r"""Response for + [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. + + Attributes: + instances (Sequence[google.cloud.memcache_v1.types.Instance]): + A list of Memcached instances in the project in the + specified location, or across all locations. + + If the ``location_id`` in the parent field of the request is + "-", all regions available to the project are queried, and + the results aggregated. + next_page_token (str): + Token to retrieve the next page of results, + or empty if there are no more results in the + list. + unreachable (Sequence[str]): + Locations that could not be reached. + """ + + @property + def raw_page(self): + return self + + instances = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Instance', + ) + next_page_token = proto.Field( + proto.STRING, + number=2, + ) + unreachable = proto.RepeatedField( + proto.STRING, + number=3, + ) + + +class GetInstanceRequest(proto.Message): + r"""Request for + [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. + + Attributes: + name (str): + Required. Memcached instance resource name in the format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + + +class CreateInstanceRequest(proto.Message): + r"""Request for + [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. + + Attributes: + parent (str): + Required. The resource name of the instance location using + the form: ``projects/{project_id}/locations/{location_id}`` + where ``location_id`` refers to a GCP region + instance_id (str): + Required. The logical name of the Memcached instance in the + user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location + + If any of the above are not met, will raise an invalid + argument error. + instance (google.cloud.memcache_v1.types.Instance): + Required. A Memcached Instance + """ + + parent = proto.Field( + proto.STRING, + number=1, + ) + instance_id = proto.Field( + proto.STRING, + number=2, + ) + instance = proto.Field( + proto.MESSAGE, + number=3, + message='Instance', + ) + + +class UpdateInstanceRequest(proto.Message): + r"""Request for + [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. + + Attributes: + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + + - ``displayName`` + instance (google.cloud.memcache_v1.types.Instance): + Required. A Memcached Instance. Only fields specified in + update_mask are updated. + """ + + update_mask = proto.Field( + proto.MESSAGE, + number=1, + message=field_mask_pb2.FieldMask, + ) + instance = proto.Field( + proto.MESSAGE, + number=2, + message='Instance', + ) + + +class DeleteInstanceRequest(proto.Message): + r"""Request for + [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. + + Attributes: + name (str): + Required. Memcached instance resource name in the format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + + +class ApplyParametersRequest(proto.Message): + r"""Request for + [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. + + Attributes: + name (str): + Required. Resource name of the Memcached + instance for which parameter group updates + should be applied. + node_ids (Sequence[str]): + Nodes to which we should apply the + instance-level parameter group. + apply_all (bool): + Whether to apply instance-level parameter + group to all nodes. If set to true, will + explicitly restrict users from specifying any + nodes, and apply parameter group updates to all + nodes within the instance. + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + node_ids = proto.RepeatedField( + proto.STRING, + number=2, + ) + apply_all = proto.Field( + proto.BOOL, + number=3, + ) + + +class UpdateParametersRequest(proto.Message): + r"""Request for + [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. + + Attributes: + name (str): + Required. Resource name of the Memcached + instance for which the parameters should be + updated. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + parameters (google.cloud.memcache_v1.types.MemcacheParameters): + The parameters to apply to the instance. + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + update_mask = proto.Field( + proto.MESSAGE, + number=2, + message=field_mask_pb2.FieldMask, + ) + parameters = proto.Field( + proto.MESSAGE, + number=3, + message='MemcacheParameters', + ) + + +class MemcacheParameters(proto.Message): + r""" + + Attributes: + id (str): + Output only. The unique ID associated with + this set of parameters. Users can use this id to + determine if the parameters associated with the + instance differ from the parameters associated + with the nodes and any action needs to be taken + to apply parameters on nodes. + params (Mapping[str, str]): + User defined set of parameters to use in the + memcached process. + """ + + id = proto.Field( + proto.STRING, + number=1, + ) + params = proto.MapField( + proto.STRING, + proto.STRING, + number=3, + ) + + +class OperationMetadata(proto.Message): + r"""Represents the metadata of a long-running operation. + + Attributes: + create_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. Time when the operation was + created. + end_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. Time when the operation finished + running. + target (str): + Output only. Server-defined resource path for + the target of the operation. + verb (str): + Output only. Name of the verb executed by the + operation. + status_detail (str): + Output only. Human-readable status of the + operation, if any. + cancel_requested (bool): + Output only. Identifies whether the user has requested + cancellation of the operation. Operations that have + successfully been cancelled have [Operation.error][] value + with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``. + api_version (str): + Output only. API version used to start the + operation. + """ + + create_time = proto.Field( + proto.MESSAGE, + number=1, + message=timestamp_pb2.Timestamp, + ) + end_time = proto.Field( + proto.MESSAGE, + number=2, + message=timestamp_pb2.Timestamp, + ) + target = proto.Field( + proto.STRING, + number=3, + ) + verb = proto.Field( + proto.STRING, + number=4, + ) + status_detail = proto.Field( + proto.STRING, + number=5, + ) + cancel_requested = proto.Field( + proto.BOOL, + number=6, + ) + api_version = proto.Field( + proto.STRING, + number=7, + ) + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/v1/mypy.ini b/owl-bot-staging/v1/mypy.ini new file mode 100644 index 0000000..4505b48 --- /dev/null +++ b/owl-bot-staging/v1/mypy.ini @@ -0,0 +1,3 @@ +[mypy] +python_version = 3.6 +namespace_packages = True diff --git a/owl-bot-staging/v1/noxfile.py b/owl-bot-staging/v1/noxfile.py new file mode 100644 index 0000000..6092e7d --- /dev/null +++ b/owl-bot-staging/v1/noxfile.py @@ -0,0 +1,180 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +import pathlib +import shutil +import subprocess +import sys + + +import nox # type: ignore + +ALL_PYTHON = [ + "3.6", + "3.7", + "3.8", + "3.9", + "3.10", +] + +CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() + +LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" +PACKAGE_NAME = subprocess.check_output([sys.executable, "setup.py", "--name"], encoding="utf-8") + +BLACK_VERSION = "black==19.10b0" +BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] +DEFAULT_PYTHON_VERSION = "3.9" + +nox.sessions = [ + "unit", + "cover", + "mypy", + "check_lower_bounds" + # exclude update_lower_bounds from default + "docs", + "blacken", + "lint", + "lint_setup_py", +] + +@nox.session(python=ALL_PYTHON) +def unit(session): + """Run the unit test suite.""" + + session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') + session.install('-e', '.') + + session.run( + 'py.test', + '--quiet', + '--cov=google/cloud/memcache_v1/', + '--cov=tests/', + '--cov-config=.coveragerc', + '--cov-report=term', + '--cov-report=html', + os.path.join('tests', 'unit', ''.join(session.posargs)) + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def cover(session): + """Run the final coverage report. + This outputs the coverage report aggregating coverage from the unit + test runs (not system test runs), and then erases coverage data. + """ + session.install("coverage", "pytest-cov") + session.run("coverage", "report", "--show-missing", "--fail-under=100") + + session.run("coverage", "erase") + + +@nox.session(python=ALL_PYTHON) +def mypy(session): + """Run the type checker.""" + session.install('mypy', 'types-pkg_resources') + session.install('.') + session.run( + 'mypy', + '--explicit-package-bases', + 'google', + ) + + +@nox.session +def update_lower_bounds(session): + """Update lower bounds in constraints.txt to match setup.py""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'update', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + + +@nox.session +def check_lower_bounds(session): + """Check lower bounds in setup.py are reflected in constraints file""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'check', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def docs(session): + """Build the docs for this library.""" + + session.install("-e", ".") + session.install("sphinx==4.0.1", "alabaster", "recommonmark") + + shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) + session.run( + "sphinx-build", + "-W", # warnings as errors + "-T", # show full traceback on exception + "-N", # no colors + "-b", + "html", + "-d", + os.path.join("docs", "_build", "doctrees", ""), + os.path.join("docs", ""), + os.path.join("docs", "_build", "html", ""), + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint(session): + """Run linters. + + Returns a failure if the linters find linting errors or sufficiently + serious code quality issues. + """ + session.install("flake8", BLACK_VERSION) + session.run( + "black", + "--check", + *BLACK_PATHS, + ) + session.run("flake8", "google", "tests", "samples") + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def blacken(session): + """Run black. Format code to uniform standard.""" + session.install(BLACK_VERSION) + session.run( + "black", + *BLACK_PATHS, + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint_setup_py(session): + """Verify that setup.py is valid (including RST check).""" + session.install("docutils", "pygments") + session.run("python", "setup.py", "check", "--restructuredtext", "--strict") diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py new file mode 100644 index 0000000..dccf400 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplyParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_ApplyParameters_async] +from google.cloud import memcache_v1 + + +async def sample_apply_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_ApplyParameters_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py new file mode 100644 index 0000000..f6a6bd9 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplyParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_ApplyParameters_sync] +from google.cloud import memcache_v1 + + +def sample_apply_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_ApplyParameters_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py new file mode 100644 index 0000000..44f2f0b --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_CreateInstance_async] +from google.cloud import memcache_v1 + + +async def sample_create_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + instance=instance, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_CreateInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py new file mode 100644 index 0000000..3be4489 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_CreateInstance_sync] +from google.cloud import memcache_v1 + + +def sample_create_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + instance=instance, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_CreateInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py new file mode 100644 index 0000000..754d26f --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_DeleteInstance_async] +from google.cloud import memcache_v1 + + +async def sample_delete_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_DeleteInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py new file mode 100644 index 0000000..767510e --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_DeleteInstance_sync] +from google.cloud import memcache_v1 + + +def sample_delete_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_DeleteInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py new file mode 100644 index 0000000..f562215 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py @@ -0,0 +1,45 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_GetInstance_async] +from google.cloud import memcache_v1 + + +async def sample_get_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = await client.get_instance(request=request) + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_GetInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py new file mode 100644 index 0000000..c470181 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py @@ -0,0 +1,45 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_GetInstance_sync] +from google.cloud import memcache_v1 + + +def sample_get_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = client.get_instance(request=request) + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_GetInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py new file mode 100644 index 0000000..7516120 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py @@ -0,0 +1,46 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListInstances +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_ListInstances_async] +from google.cloud import memcache_v1 + + +async def sample_list_instances(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END memcache_v1_generated_CloudMemcache_ListInstances_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py new file mode 100644 index 0000000..c5ee139 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py @@ -0,0 +1,46 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListInstances +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_ListInstances_sync] +from google.cloud import memcache_v1 + + +def sample_list_instances(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END memcache_v1_generated_CloudMemcache_ListInstances_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py new file mode 100644 index 0000000..e078aeb --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py @@ -0,0 +1,55 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_UpdateInstance_async] +from google.cloud import memcache_v1 + + +async def sample_update_instance(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.UpdateInstanceRequest( + instance=instance, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_UpdateInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py new file mode 100644 index 0000000..711c064 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py @@ -0,0 +1,55 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_UpdateInstance_sync] +from google.cloud import memcache_v1 + + +def sample_update_instance(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + instance = memcache_v1.Instance() + instance.name = "name_value" + instance.node_count = 1070 + instance.node_config.cpu_count = 976 + instance.node_config.memory_size_mb = 1505 + + request = memcache_v1.UpdateInstanceRequest( + instance=instance, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_UpdateInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py new file mode 100644 index 0000000..9020743 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_UpdateParameters_async] +from google.cloud import memcache_v1 + + +async def sample_update_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_UpdateParameters_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py new file mode 100644 index 0000000..4044531 --- /dev/null +++ b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1_generated_CloudMemcache_UpdateParameters_sync] +from google.cloud import memcache_v1 + + +def sample_update_parameters(): + # Create a client + client = memcache_v1.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1_generated_CloudMemcache_UpdateParameters_sync] diff --git 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"REQUEST_EXECUTION" + }, + { + "end": 49, + "start": 46, + "type": "RESPONSE_HANDLING" + } + ], + "title": "memcache_v1_generated_cloud_memcache_update_parameters_sync.py" + } + ] +} diff --git a/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py b/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py new file mode 100644 index 0000000..84308d4 --- /dev/null +++ b/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py @@ -0,0 +1,182 @@ +#! /usr/bin/env python3 +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import argparse +import os +import libcst as cst +import pathlib +import sys +from typing import (Any, Callable, Dict, List, Sequence, Tuple) + + +def partition( + predicate: Callable[[Any], bool], + iterator: Sequence[Any] +) -> Tuple[List[Any], List[Any]]: + """A stable, out-of-place partition.""" + results = ([], []) + + for i in iterator: + results[int(predicate(i))].append(i) + + # Returns trueList, falseList + return results[1], results[0] + + +class memcacheCallTransformer(cst.CSTTransformer): + CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') + METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { + 'apply_parameters': ('name', 'node_ids', 'apply_all', ), + 'create_instance': ('parent', 'instance_id', 'instance', ), + 'delete_instance': ('name', ), + 'get_instance': ('name', ), + 'list_instances': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ), + 'update_instance': ('update_mask', 'instance', ), + 'update_parameters': ('name', 'update_mask', 'parameters', ), + } + + def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: + try: + key = original.func.attr.value + kword_params = self.METHOD_TO_PARAMS[key] + except (AttributeError, KeyError): + # Either not a method from the API or too convoluted to be sure. + return updated + + # If the existing code is valid, keyword args come after positional args. + # Therefore, all positional args must map to the first parameters. + args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) + if any(k.keyword.value == "request" for k in kwargs): + # We've already fixed this file, don't fix it again. + return updated + + kwargs, ctrl_kwargs = partition( + lambda a: a.keyword.value not in self.CTRL_PARAMS, + kwargs + ) + + args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] + ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) + for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) + + request_arg = cst.Arg( + value=cst.Dict([ + cst.DictElement( + cst.SimpleString("'{}'".format(name)), +cst.Element(value=arg.value) + ) + # Note: the args + kwargs looks silly, but keep in mind that + # the control parameters had to be stripped out, and that + # those could have been passed positionally or by keyword. + for name, arg in zip(kword_params, args + kwargs)]), + keyword=cst.Name("request") + ) + + return updated.with_changes( + args=[request_arg] + ctrl_kwargs + ) + + +def fix_files( + in_dir: pathlib.Path, + out_dir: pathlib.Path, + *, + transformer=memcacheCallTransformer(), +): + """Duplicate the input dir to the output dir, fixing file method calls. + + Preconditions: + * in_dir is a real directory + * out_dir is a real, empty directory + """ + pyfile_gen = ( + pathlib.Path(os.path.join(root, f)) + for root, _, files in os.walk(in_dir) + for f in files if os.path.splitext(f)[1] == ".py" + ) + + for fpath in pyfile_gen: + with open(fpath, 'r') as f: + src = f.read() + + # Parse the code and insert method call fixes. + tree = cst.parse_module(src) + updated = tree.visit(transformer) + + # Create the path and directory structure for the new file. + updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) + updated_path.parent.mkdir(parents=True, exist_ok=True) + + # Generate the updated source file at the corresponding path. + with open(updated_path, 'w') as f: + f.write(updated.code) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description="""Fix up source that uses the memcache client library. + +The existing sources are NOT overwritten but are copied to output_dir with changes made. + +Note: This tool operates at a best-effort level at converting positional + parameters in client method calls to keyword based parameters. + Cases where it WILL FAIL include + A) * or ** expansion in a method call. + B) Calls via function or method alias (includes free function calls) + C) Indirect or dispatched calls (e.g. the method is looked up dynamically) + + These all constitute false negatives. The tool will also detect false + positives when an API method shares a name with another method. +""") + parser.add_argument( + '-d', + '--input-directory', + required=True, + dest='input_dir', + help='the input directory to walk for python files to fix up', + ) + parser.add_argument( + '-o', + '--output-directory', + required=True, + dest='output_dir', + help='the directory to output files fixed via un-flattening', + ) + args = parser.parse_args() + input_dir = pathlib.Path(args.input_dir) + output_dir = pathlib.Path(args.output_dir) + if not input_dir.is_dir(): + print( + f"input directory '{input_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if not output_dir.is_dir(): + print( + f"output directory '{output_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if os.listdir(output_dir): + print( + f"output directory '{output_dir}' is not empty", + file=sys.stderr, + ) + sys.exit(-1) + + fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/v1/setup.py b/owl-bot-staging/v1/setup.py new file mode 100644 index 0000000..a22e368 --- /dev/null +++ b/owl-bot-staging/v1/setup.py @@ -0,0 +1,59 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import io +import os +import setuptools # type: ignore + +version = '0.1.0' + +package_root = os.path.abspath(os.path.dirname(__file__)) + +readme_filename = os.path.join(package_root, 'README.rst') +with io.open(readme_filename, encoding='utf-8') as readme_file: + readme = readme_file.read() + +setuptools.setup( + name='google-cloud-memcache', + author="Google LLC", + author_email="googleapis-packages@google.com", + url="https://github.com/googleapis/python-google-cloud-memcache", + version=version, + long_description=readme, + packages=setuptools.PEP420PackageFinder.find(), + namespace_packages=('google', 'google.cloud'), + platforms='Posix; MacOS X; Windows', + include_package_data=True, + install_requires=( + 'google-api-core[grpc] >= 2.8.0, < 3.0.0dev', + 'libcst >= 0.2.5', + 'googleapis-common-protos >= 1.55.0, <2.0.0dev', + 'proto-plus >= 1.19.7', + ), + python_requires='>=3.6', + classifiers=[ + 'Development Status :: 3 - Alpha', + 'Intended Audience :: Developers', + 'Operating System :: OS Independent', + 'Programming Language :: Python :: 3.6', + 'Programming Language :: Python :: 3.7', + 'Programming Language :: Python :: 3.8', + 'Programming Language :: Python :: 3.9', + 'Programming Language :: Python :: 3.10', + 'Topic :: Internet', + 'Topic :: Software Development :: Libraries :: Python Modules', + ], + zip_safe=False, +) diff --git a/owl-bot-staging/v1/tests/__init__.py b/owl-bot-staging/v1/tests/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1/tests/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1/tests/unit/__init__.py b/owl-bot-staging/v1/tests/unit/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1/tests/unit/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1/tests/unit/gapic/__init__.py b/owl-bot-staging/v1/tests/unit/gapic/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1/tests/unit/gapic/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py new file mode 100644 index 0000000..4d482bc --- /dev/null +++ b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py @@ -0,0 +1,3119 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +# try/except added for compatibility with python < 3.8 +try: + from unittest import mock + from unittest.mock import AsyncMock +except ImportError: + import mock + +import grpc +from grpc.experimental import aio +import math +import pytest +from proto.marshal.rules.dates import DurationRule, TimestampRule + + +from google.api_core import client_options +from google.api_core import exceptions as core_exceptions +from google.api_core import future +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers +from google.api_core import grpc_helpers_async +from google.api_core import operation +from google.api_core import operation_async # type: ignore +from google.api_core import operations_v1 +from google.api_core import path_template +from google.auth import credentials as ga_credentials +from google.auth.exceptions import MutualTLSChannelError +from google.cloud.memcache_v1.services.cloud_memcache import CloudMemcacheAsyncClient +from google.cloud.memcache_v1.services.cloud_memcache import CloudMemcacheClient +from google.cloud.memcache_v1.services.cloud_memcache import pagers +from google.cloud.memcache_v1.services.cloud_memcache import transports +from google.cloud.memcache_v1.types import cloud_memcache +from google.longrunning import operations_pb2 +from google.oauth2 import service_account +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +import google.auth + + +def client_cert_source_callback(): + return b"cert bytes", b"key bytes" + + +# If default endpoint is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint(client): + return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT + + +def test__get_default_mtls_endpoint(): + api_endpoint = "example.googleapis.com" + api_mtls_endpoint = "example.mtls.googleapis.com" + sandbox_endpoint = "example.sandbox.googleapis.com" + sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" + non_googleapi = "api.example.com" + + assert CloudMemcacheClient._get_default_mtls_endpoint(None) is None + assert CloudMemcacheClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi + + +@pytest.mark.parametrize("client_class,transport_name", [ + (CloudMemcacheClient, "grpc"), + (CloudMemcacheAsyncClient, "grpc_asyncio"), +]) +def test_cloud_memcache_client_from_service_account_info(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: + factory.return_value = creds + info = {"valid": True} + client = client_class.from_service_account_info(info, transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + + +@pytest.mark.parametrize("transport_class,transport_name", [ + (transports.CloudMemcacheGrpcTransport, "grpc"), + (transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +def test_cloud_memcache_client_service_account_always_use_jwt(transport_class, transport_name): + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=True) + use_jwt.assert_called_once_with(True) + + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=False) + use_jwt.assert_not_called() + + +@pytest.mark.parametrize("client_class,transport_name", [ + (CloudMemcacheClient, "grpc"), + (CloudMemcacheAsyncClient, "grpc_asyncio"), +]) +def test_cloud_memcache_client_from_service_account_file(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: + factory.return_value = creds + client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + + +def test_cloud_memcache_client_get_transport_class(): + transport = CloudMemcacheClient.get_transport_class() + available_transports = [ + transports.CloudMemcacheGrpcTransport, + ] + assert transport in available_transports + + transport = CloudMemcacheClient.get_transport_class("grpc") + assert transport == transports.CloudMemcacheGrpcTransport + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +def test_cloud_memcache_client_client_options(client_class, transport_class, transport_name): + # Check that if channel is provided we won't create a new one. + with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + client = client_class(transport=transport) + gtc.assert_not_called() + + # Check that if channel is provided via str we will create a new one. + with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: + client = client_class(transport=transport_name) + gtc.assert_called() + + # Check the case api_endpoint is provided. + options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name, client_options=options) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_MTLS_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError): + client = client_class(transport=transport_name) + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError): + client = client_class(transport=transport_name) + + # Check the case quota_project_id is provided + options = client_options.ClientOptions(quota_project_id="octopus") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id="octopus", + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + # Check the case api_endpoint is provided + options = client_options.ClientOptions(api_audience="https://language.googleapis.com") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience="https://language.googleapis.com" + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "true"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "true"), + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "false"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "false"), +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) +def test_cloud_memcache_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): + # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default + # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. + + # Check the case client_cert_source is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + + if use_client_cert_env == "false": + expected_client_cert_source = None + expected_host = client.DEFAULT_ENDPOINT + else: + expected_client_cert_source = client_cert_source_callback + expected_host = client.DEFAULT_MTLS_ENDPOINT + + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case ADC client cert is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): + if use_client_cert_env == "false": + expected_host = client.DEFAULT_ENDPOINT + expected_client_cert_source = None + else: + expected_host = client.DEFAULT_MTLS_ENDPOINT + expected_client_cert_source = client_cert_source_callback + + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case client_cert_source and ADC client cert are not provided. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class", [ + CloudMemcacheClient, CloudMemcacheAsyncClient +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +def test_cloud_memcache_client_get_mtls_endpoint_and_cert_source(client_class): + mock_client_cert_source = mock.Mock() + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source == mock_client_cert_source + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + mock_client_cert_source = mock.Mock() + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source == mock_client_cert_source + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +def test_cloud_memcache_client_client_options_scopes(client_class, transport_class, transport_name): + # Check the case scopes are provided. + options = client_options.ClientOptions( + scopes=["1", "2"], + ) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=["1", "2"], + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_cloud_memcache_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +def test_cloud_memcache_client_client_options_from_dict(): + with mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__') as grpc_transport: + grpc_transport.return_value = None + client = CloudMemcacheClient( + client_options={'api_endpoint': 'squid.clam.whelk'} + ) + grpc_transport.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_cloud_memcache_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # test that the credentials from file are saved and used as the credentials. + with mock.patch.object( + google.auth, "load_credentials_from_file", autospec=True + ) as load_creds, mock.patch.object( + google.auth, "default", autospec=True + ) as adc, mock.patch.object( + grpc_helpers, "create_channel" + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + file_creds = ga_credentials.AnonymousCredentials() + load_creds.return_value = (file_creds, None) + adc.return_value = (creds, None) + client = client_class(client_options=options, transport=transport_name) + create_channel.assert_called_with( + "memcache.googleapis.com:443", + credentials=file_creds, + credentials_file=None, + quota_project_id=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=None, + default_host="memcache.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.ListInstancesRequest, + dict, +]) +def test_list_instances(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse( + next_page_token='next_page_token_value', + unreachable=['unreachable_value'], + ) + response = client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListInstancesPager) + assert response.next_page_token == 'next_page_token_value' + assert response.unreachable == ['unreachable_value'] + + +def test_list_instances_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + client.list_instances() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + +@pytest.mark.asyncio +async def test_list_instances_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ListInstancesRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse( + next_page_token='next_page_token_value', + unreachable=['unreachable_value'], + )) + response = await client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListInstancesAsyncPager) + assert response.next_page_token == 'next_page_token_value' + assert response.unreachable == ['unreachable_value'] + + +@pytest.mark.asyncio +async def test_list_instances_async_from_dict(): + await test_list_instances_async(request_type=dict) + + +def test_list_instances_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ListInstancesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + call.return_value = cloud_memcache.ListInstancesResponse() + client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_instances_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ListInstancesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) + await client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_instances_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_instances( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_instances_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_instances( + cloud_memcache.ListInstancesRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_instances_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_instances( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_instances_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_instances( + cloud_memcache.ListInstancesRequest(), + parent='parent_value', + ) + + +def test_list_instances_pager(transport_name: str = "grpc"): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials, + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + instances=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_instances(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, cloud_memcache.Instance) + for i in results) +def test_list_instances_pages(transport_name: str = "grpc"): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials, + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + instances=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + pages = list(client.list_instances(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_instances_async_pager(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + instances=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_instances(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, cloud_memcache.Instance) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_instances_async_pages(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + instances=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + instances=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + pages = [] + async for page_ in (await client.list_instances(request={})).pages: # pragma: no branch + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.GetInstanceRequest, + dict, +]) +def test_get_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance( + name='name_value', + display_name='display_name_value', + authorized_network='authorized_network_value', + zones=['zones_value'], + node_count=1070, + memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, + state=cloud_memcache.Instance.State.CREATING, + memcache_full_version='memcache_full_version_value', + discovery_endpoint='discovery_endpoint_value', + ) + response = client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, cloud_memcache.Instance) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.authorized_network == 'authorized_network_value' + assert response.zones == ['zones_value'] + assert response.node_count == 1070 + assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 + assert response.state == cloud_memcache.Instance.State.CREATING + assert response.memcache_full_version == 'memcache_full_version_value' + assert response.discovery_endpoint == 'discovery_endpoint_value' + + +def test_get_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + client.get_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + +@pytest.mark.asyncio +async def test_get_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.GetInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance( + name='name_value', + display_name='display_name_value', + authorized_network='authorized_network_value', + zones=['zones_value'], + node_count=1070, + memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, + state=cloud_memcache.Instance.State.CREATING, + memcache_full_version='memcache_full_version_value', + discovery_endpoint='discovery_endpoint_value', + )) + response = await client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, cloud_memcache.Instance) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.authorized_network == 'authorized_network_value' + assert response.zones == ['zones_value'] + assert response.node_count == 1070 + assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 + assert response.state == cloud_memcache.Instance.State.CREATING + assert response.memcache_full_version == 'memcache_full_version_value' + assert response.discovery_endpoint == 'discovery_endpoint_value' + + +@pytest.mark.asyncio +async def test_get_instance_async_from_dict(): + await test_get_instance_async(request_type=dict) + + +def test_get_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.GetInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + call.return_value = cloud_memcache.Instance() + client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.GetInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) + await client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_instance( + cloud_memcache.GetInstanceRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_instance( + cloud_memcache.GetInstanceRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.CreateInstanceRequest, + dict, +]) +def test_create_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_create_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + client.create_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + +@pytest.mark.asyncio +async def test_create_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.CreateInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_create_instance_async_from_dict(): + await test_create_instance_async(request_type=dict) + + +def test_create_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.CreateInstanceRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_create_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.CreateInstanceRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_create_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.create_instance( + parent='parent_value', + instance=cloud_memcache.Instance(name='name_value'), + instance_id='instance_id_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].instance + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + arg = args[0].instance_id + mock_val = 'instance_id_value' + assert arg == mock_val + + +def test_create_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.create_instance( + cloud_memcache.CreateInstanceRequest(), + parent='parent_value', + instance=cloud_memcache.Instance(name='name_value'), + instance_id='instance_id_value', + ) + +@pytest.mark.asyncio +async def test_create_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.create_instance( + parent='parent_value', + instance=cloud_memcache.Instance(name='name_value'), + instance_id='instance_id_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].instance + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + arg = args[0].instance_id + mock_val = 'instance_id_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_create_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.create_instance( + cloud_memcache.CreateInstanceRequest(), + parent='parent_value', + instance=cloud_memcache.Instance(name='name_value'), + instance_id='instance_id_value', + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.UpdateInstanceRequest, + dict, +]) +def test_update_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_update_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + client.update_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + +@pytest.mark.asyncio +async def test_update_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_update_instance_async_from_dict(): + await test_update_instance_async(request_type=dict) + + +def test_update_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateInstanceRequest() + + request.instance.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'instance.name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_update_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateInstanceRequest() + + request.instance.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'instance.name=name_value', + ) in kw['metadata'] + + +def test_update_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.update_instance( + instance=cloud_memcache.Instance(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].instance + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + + +def test_update_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_instance( + cloud_memcache.UpdateInstanceRequest(), + instance=cloud_memcache.Instance(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + +@pytest.mark.asyncio +async def test_update_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.update_instance( + instance=cloud_memcache.Instance(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].instance + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + +@pytest.mark.asyncio +async def test_update_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.update_instance( + cloud_memcache.UpdateInstanceRequest(), + instance=cloud_memcache.Instance(name='name_value'), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.UpdateParametersRequest, + dict, +]) +def test_update_parameters(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_update_parameters_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + client.update_parameters() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + +@pytest.mark.asyncio +async def test_update_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateParametersRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_update_parameters_async_from_dict(): + await test_update_parameters_async(request_type=dict) + + +def test_update_parameters_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_update_parameters_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_update_parameters_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.update_parameters( + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].parameters + mock_val = cloud_memcache.MemcacheParameters(id='id_value') + assert arg == mock_val + + +def test_update_parameters_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_parameters( + cloud_memcache.UpdateParametersRequest(), + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + +@pytest.mark.asyncio +async def test_update_parameters_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.update_parameters( + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].parameters + mock_val = cloud_memcache.MemcacheParameters(id='id_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_update_parameters_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.update_parameters( + cloud_memcache.UpdateParametersRequest(), + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.DeleteInstanceRequest, + dict, +]) +def test_delete_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_delete_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + client.delete_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + +@pytest.mark.asyncio +async def test_delete_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.DeleteInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_delete_instance_async_from_dict(): + await test_delete_instance_async(request_type=dict) + + +def test_delete_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.DeleteInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_delete_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.DeleteInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_delete_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.delete_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_delete_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_instance( + cloud_memcache.DeleteInstanceRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_delete_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.delete_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_delete_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.delete_instance( + cloud_memcache.DeleteInstanceRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.ApplyParametersRequest, + dict, +]) +def test_apply_parameters(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_apply_parameters_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + client.apply_parameters() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + +@pytest.mark.asyncio +async def test_apply_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplyParametersRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_apply_parameters_async_from_dict(): + await test_apply_parameters_async(request_type=dict) + + +def test_apply_parameters_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplyParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_apply_parameters_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplyParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_apply_parameters_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.apply_parameters( + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + + +def test_apply_parameters_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.apply_parameters( + cloud_memcache.ApplyParametersRequest(), + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + +@pytest.mark.asyncio +async def test_apply_parameters_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.apply_parameters( + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + +@pytest.mark.asyncio +async def test_apply_parameters_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.apply_parameters( + cloud_memcache.ApplyParametersRequest(), + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + +def test_credentials_transport_error(): + # It is an error to provide credentials and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # It is an error to provide a credentials file and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options={"credentials_file": "credentials.json"}, + transport=transport, + ) + + # It is an error to provide an api_key and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options=options, + transport=transport, + ) + + # It is an error to provide an api_key and a credential. + options = mock.Mock() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options=options, + credentials=ga_credentials.AnonymousCredentials() + ) + + # It is an error to provide scopes and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options={"scopes": ["1", "2"]}, + transport=transport, + ) + + +def test_transport_instance(): + # A client may be instantiated with a custom transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + client = CloudMemcacheClient(transport=transport) + assert client.transport is transport + +def test_transport_get_channel(): + # A client may be instantiated with a custom transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + + transport = transports.CloudMemcacheGrpcAsyncIOTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + +@pytest.mark.parametrize("transport_class", [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, +]) +def test_transport_adc(transport_class): + # Test default credentials are used if not provided. + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class() + adc.assert_called_once() + +@pytest.mark.parametrize("transport_name", [ + "grpc", +]) +def test_transport_kind(transport_name): + transport = CloudMemcacheClient.get_transport_class(transport_name)( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert transport.kind == transport_name + +def test_transport_grpc_default(): + # A client should use the gRPC transport by default. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert isinstance( + client.transport, + transports.CloudMemcacheGrpcTransport, + ) + +def test_cloud_memcache_base_transport_error(): + # Passing both a credentials object and credentials_file should raise an error + with pytest.raises(core_exceptions.DuplicateCredentialArgs): + transport = transports.CloudMemcacheTransport( + credentials=ga_credentials.AnonymousCredentials(), + credentials_file="credentials.json" + ) + + +def test_cloud_memcache_base_transport(): + # Instantiate the base transport. + with mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport.__init__') as Transport: + Transport.return_value = None + transport = transports.CloudMemcacheTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Every method on the transport should just blindly + # raise NotImplementedError. + methods = ( + 'list_instances', + 'get_instance', + 'create_instance', + 'update_instance', + 'update_parameters', + 'delete_instance', + 'apply_parameters', + ) + for method in methods: + with pytest.raises(NotImplementedError): + getattr(transport, method)(request=object()) + + with pytest.raises(NotImplementedError): + transport.close() + + # Additionally, the LRO client (a property) should + # also raise NotImplementedError + with pytest.raises(NotImplementedError): + transport.operations_client + + # Catch all for all remaining methods and properties + remainder = [ + 'kind', + ] + for r in remainder: + with pytest.raises(NotImplementedError): + getattr(transport, r)() + + +def test_cloud_memcache_base_transport_with_credentials_file(): + # Instantiate the base transport with a credentials file + with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.CloudMemcacheTransport( + credentials_file="credentials.json", + quota_project_id="octopus", + ) + load_creds.assert_called_once_with("credentials.json", + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id="octopus", + ) + + +def test_cloud_memcache_base_transport_with_adc(): + # Test the default credentials are used if credentials and credentials_file are None. + with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.CloudMemcacheTransport() + adc.assert_called_once() + + +def test_cloud_memcache_auth_adc(): + # If no credentials are provided, we should use ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + CloudMemcacheClient() + adc.assert_called_once_with( + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id=None, + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, + ], +) +def test_cloud_memcache_transport_auth_adc(transport_class): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class(quota_project_id="octopus", scopes=["1", "2"]) + adc.assert_called_once_with( + scopes=["1", "2"], + default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), + quota_project_id="octopus", + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, + ], +) +def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): + host = 'https://language.com' + api_audience_tests = [None, 'https://language2.com'] + api_audience_expect = [host, 'https://language2.com'] + for t, e in zip(api_audience_tests, api_audience_expect): + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + gdch_mock = mock.MagicMock() + type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) + adc.return_value = (gdch_mock, None) + transport_class(host=host, api_audience=t) + gdch_mock.with_gdch_audience.assert_called_once_with( + e + ) + + +@pytest.mark.parametrize( + "transport_class,grpc_helpers", + [ + (transports.CloudMemcacheGrpcTransport, grpc_helpers), + (transports.CloudMemcacheGrpcAsyncIOTransport, grpc_helpers_async) + ], +) +def test_cloud_memcache_transport_create_channel(transport_class, grpc_helpers): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( + grpc_helpers, "create_channel", autospec=True + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + adc.return_value = (creds, None) + transport_class( + quota_project_id="octopus", + scopes=["1", "2"] + ) + + create_channel.assert_called_with( + "memcache.googleapis.com:443", + credentials=creds, + credentials_file=None, + quota_project_id="octopus", + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=["1", "2"], + default_host="memcache.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_grpc_transport_client_cert_source_for_mtls( + transport_class +): + cred = ga_credentials.AnonymousCredentials() + + # Check ssl_channel_credentials is used if provided. + with mock.patch.object(transport_class, "create_channel") as mock_create_channel: + mock_ssl_channel_creds = mock.Mock() + transport_class( + host="squid.clam.whelk", + credentials=cred, + ssl_channel_credentials=mock_ssl_channel_creds + ) + mock_create_channel.assert_called_once_with( + "squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_channel_creds, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls + # is used. + with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): + with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: + transport_class( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + expected_cert, expected_key = client_cert_source_callback() + mock_ssl_cred.assert_called_once_with( + certificate_chain=expected_cert, + private_key=expected_key + ) + + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", +]) +def test_cloud_memcache_host_no_port(transport_name): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com'), + transport=transport_name, + ) + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", +]) +def test_cloud_memcache_host_with_port(transport_name): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com:8000'), + transport=transport_name, + ) + assert client.transport._host == ( + 'memcache.googleapis.com:8000' + ) + +def test_cloud_memcache_grpc_transport_channel(): + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.CloudMemcacheGrpcTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +def test_cloud_memcache_grpc_asyncio_transport_channel(): + channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.CloudMemcacheGrpcAsyncIOTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_transport_channel_mtls_with_client_cert_source( + transport_class +): + with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_ssl_cred = mock.Mock() + grpc_ssl_channel_cred.return_value = mock_ssl_cred + + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + + cred = ga_credentials.AnonymousCredentials() + with pytest.warns(DeprecationWarning): + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (cred, None) + transport = transport_class( + host="squid.clam.whelk", + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=client_cert_source_callback, + ) + adc.assert_called_once() + + grpc_ssl_channel_cred.assert_called_once_with( + certificate_chain=b"cert bytes", private_key=b"key bytes" + ) + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + assert transport._ssl_channel_credentials == mock_ssl_cred + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_transport_channel_mtls_with_adc( + transport_class +): + mock_ssl_cred = mock.Mock() + with mock.patch.multiple( + "google.auth.transport.grpc.SslCredentials", + __init__=mock.Mock(return_value=None), + ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), + ): + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + mock_cred = mock.Mock() + + with pytest.warns(DeprecationWarning): + transport = transport_class( + host="squid.clam.whelk", + credentials=mock_cred, + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=None, + ) + + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=mock_cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + + +def test_cloud_memcache_grpc_lro_client(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_cloud_memcache_grpc_lro_async_client(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc_asyncio', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsAsyncClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_instance_path(): + project = "squid" + location = "clam" + instance = "whelk" + expected = "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) + actual = CloudMemcacheClient.instance_path(project, location, instance) + assert expected == actual + + +def test_parse_instance_path(): + expected = { + "project": "octopus", + "location": "oyster", + "instance": "nudibranch", + } + path = CloudMemcacheClient.instance_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_instance_path(path) + assert expected == actual + +def test_common_billing_account_path(): + billing_account = "cuttlefish" + expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + actual = CloudMemcacheClient.common_billing_account_path(billing_account) + assert expected == actual + + +def test_parse_common_billing_account_path(): + expected = { + "billing_account": "mussel", + } + path = CloudMemcacheClient.common_billing_account_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_billing_account_path(path) + assert expected == actual + +def test_common_folder_path(): + folder = "winkle" + expected = "folders/{folder}".format(folder=folder, ) + actual = CloudMemcacheClient.common_folder_path(folder) + assert expected == actual + + +def test_parse_common_folder_path(): + expected = { + "folder": "nautilus", + } + path = CloudMemcacheClient.common_folder_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_folder_path(path) + assert expected == actual + +def test_common_organization_path(): + organization = "scallop" + expected = "organizations/{organization}".format(organization=organization, ) + actual = CloudMemcacheClient.common_organization_path(organization) + assert expected == actual + + +def test_parse_common_organization_path(): + expected = { + "organization": "abalone", + } + path = CloudMemcacheClient.common_organization_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_organization_path(path) + assert expected == actual + +def test_common_project_path(): + project = "squid" + expected = "projects/{project}".format(project=project, ) + actual = CloudMemcacheClient.common_project_path(project) + assert expected == actual + + +def test_parse_common_project_path(): + expected = { + "project": "clam", + } + path = CloudMemcacheClient.common_project_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_project_path(path) + assert expected == actual + +def test_common_location_path(): + project = "whelk" + location = "octopus" + expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) + actual = CloudMemcacheClient.common_location_path(project, location) + assert expected == actual + + +def test_parse_common_location_path(): + expected = { + "project": "oyster", + "location": "nudibranch", + } + path = CloudMemcacheClient.common_location_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_location_path(path) + assert expected == actual + + +def test_client_with_default_client_info(): + client_info = gapic_v1.client_info.ClientInfo() + + with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + + with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: + transport_class = CloudMemcacheClient.get_transport_class() + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + +@pytest.mark.asyncio +async def test_transport_close_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="grpc_asyncio", + ) + with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: + async with client: + close.assert_not_called() + close.assert_called_once() + + +def test_transport_close(): + transports = { + "grpc": "_grpc_channel", + } + + for transport, close_name in transports.items(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: + with client: + close.assert_not_called() + close.assert_called_once() + +def test_client_ctx(): + transports = [ + 'grpc', + ] + for transport in transports: + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + # Test client calls underlying transport. + with mock.patch.object(type(client.transport), "close") as close: + close.assert_not_called() + with client: + pass + close.assert_called() + +@pytest.mark.parametrize("client_class,transport_class", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport), +]) +def test_api_key_credentials(client_class, transport_class): + with mock.patch.object( + google.auth._default, "get_api_key_credentials", create=True + ) as get_api_key_credentials: + mock_cred = mock.Mock() + get_api_key_credentials.return_value = mock_cred + options = client_options.ClientOptions() + options.api_key = "api_key" + with mock.patch.object(transport_class, "__init__") as patched: + patched.return_value = None + client = client_class(client_options=options) + patched.assert_called_once_with( + credentials=mock_cred, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) diff --git a/owl-bot-staging/v1beta2/.coveragerc b/owl-bot-staging/v1beta2/.coveragerc new file mode 100644 index 0000000..028e2ca --- /dev/null +++ b/owl-bot-staging/v1beta2/.coveragerc @@ -0,0 +1,17 @@ +[run] +branch = True + +[report] +show_missing = True +omit = + google/cloud/memcache/__init__.py +exclude_lines = + # Re-enable the standard pragma + pragma: NO COVER + # Ignore debug-only repr + def __repr__ + # Ignore pkg_resources exceptions. + # This is added at the module level as a safeguard for if someone + # generates the code and tries to run it without pip installing. This + # makes it virtually impossible to test properly. + except pkg_resources.DistributionNotFound diff --git a/owl-bot-staging/v1beta2/.flake8 b/owl-bot-staging/v1beta2/.flake8 new file mode 100644 index 0000000..29227d4 --- /dev/null +++ b/owl-bot-staging/v1beta2/.flake8 @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# +# Copyright 2020 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# https://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# Generated by synthtool. DO NOT EDIT! +[flake8] +ignore = E203, E266, E501, W503 +exclude = + # Exclude generated code. + **/proto/** + **/gapic/** + **/services/** + **/types/** + *_pb2.py + + # Standard linting exemptions. + **/.nox/** + __pycache__, + .git, + *.pyc, + conf.py diff --git a/owl-bot-staging/v1beta2/MANIFEST.in b/owl-bot-staging/v1beta2/MANIFEST.in new file mode 100644 index 0000000..9ef584d --- /dev/null +++ b/owl-bot-staging/v1beta2/MANIFEST.in @@ -0,0 +1,2 @@ +recursive-include google/cloud/memcache *.py +recursive-include google/cloud/memcache_v1beta2 *.py diff --git a/owl-bot-staging/v1beta2/README.rst b/owl-bot-staging/v1beta2/README.rst new file mode 100644 index 0000000..672802b --- /dev/null +++ b/owl-bot-staging/v1beta2/README.rst @@ -0,0 +1,49 @@ +Python Client for Google Cloud Memcache API +================================================= + +Quick Start +----------- + +In order to use this library, you first need to go through the following steps: + +1. `Select or create a Cloud Platform project.`_ +2. `Enable billing for your project.`_ +3. Enable the Google Cloud Memcache API. +4. `Setup Authentication.`_ + +.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project +.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project +.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html + +Installation +~~~~~~~~~~~~ + +Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to +create isolated Python environments. The basic problem it addresses is one of +dependencies and versions, and indirectly permissions. + +With `virtualenv`_, it's possible to install this library without needing system +install permissions, and without clashing with the installed system +dependencies. + +.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ + + +Mac/Linux +^^^^^^^^^ + +.. code-block:: console + + python3 -m venv + source /bin/activate + /bin/pip install /path/to/library + + +Windows +^^^^^^^ + +.. code-block:: console + + python3 -m venv + \Scripts\activate + \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/v1beta2/docs/conf.py b/owl-bot-staging/v1beta2/docs/conf.py new file mode 100644 index 0000000..d96922c --- /dev/null +++ b/owl-bot-staging/v1beta2/docs/conf.py @@ -0,0 +1,376 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# +# google-cloud-memcache documentation build configuration file +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys +import os +import shlex + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +sys.path.insert(0, os.path.abspath("..")) + +__version__ = "0.1.0" + +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +needs_sphinx = "4.0.1" + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + "sphinx.ext.autodoc", + "sphinx.ext.autosummary", + "sphinx.ext.intersphinx", + "sphinx.ext.coverage", + "sphinx.ext.napoleon", + "sphinx.ext.todo", + "sphinx.ext.viewcode", +] + +# autodoc/autosummary flags +autoclass_content = "both" +autodoc_default_flags = ["members"] +autosummary_generate = True + + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# Allow markdown includes (so releases.md can include CHANGLEOG.md) +# http://www.sphinx-doc.org/en/master/markdown.html +source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} + +# The suffix(es) of source filenames. +# You can specify multiple suffix as a list of string: +source_suffix = [".rst", ".md"] + +# The encoding of source files. +# source_encoding = 'utf-8-sig' + +# The root toctree document. +root_doc = "index" + +# General information about the project. +project = u"google-cloud-memcache" +copyright = u"2022, Google, LLC" +author = u"Google APIs" # TODO: autogenerate this bit + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The full version, including alpha/beta/rc tags. +release = __version__ +# The short X.Y version. +version = ".".join(release.split(".")[0:2]) + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +# +# This is also used if you do content translation via gettext catalogs. +# Usually you set "language" from the command line for these cases. +language = None + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +# today = '' +# Else, today_fmt is used as the format for a strftime call. +# today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = ["_build"] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +# default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +# add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +# add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +# show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = "sphinx" + +# A list of ignored prefixes for module index sorting. +# modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +# keep_warnings = False + +# If true, `todo` and `todoList` produce output, else they produce nothing. +todo_include_todos = True + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = "alabaster" + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +html_theme_options = { + "description": "Google Cloud Client Libraries for Python", + "github_user": "googleapis", + "github_repo": "google-cloud-python", + "github_banner": True, + "font_family": "'Roboto', Georgia, sans", + "head_font_family": "'Roboto', Georgia, serif", + "code_font_family": "'Roboto Mono', 'Consolas', monospace", +} + +# Add any paths that contain custom themes here, relative to this directory. +# html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +# html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +# html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +# html_logo = None + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +# html_favicon = None + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ["_static"] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +# html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +# html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +# html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +# html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +# html_additional_pages = {} + +# If false, no module index is generated. +# html_domain_indices = True + +# If false, no index is generated. +# html_use_index = True + +# If true, the index is split into individual pages for each letter. +# html_split_index = False + +# If true, links to the reST sources are added to the pages. +# html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +# html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +# html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +# html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +# html_file_suffix = None + +# Language to be used for generating the HTML full-text search index. +# Sphinx supports the following languages: +# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' +# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' +# html_search_language = 'en' + +# A dictionary with options for the search language support, empty by default. +# Now only 'ja' uses this config value +# html_search_options = {'type': 'default'} + +# The name of a javascript file (relative to the configuration directory) that +# implements a search results scorer. If empty, the default will be used. +# html_search_scorer = 'scorer.js' + +# Output file base name for HTML help builder. +htmlhelp_basename = "google-cloud-memcache-doc" + +# -- Options for warnings ------------------------------------------------------ + + +suppress_warnings = [ + # Temporarily suppress this to avoid "more than one target found for + # cross-reference" warning, which are intractable for us to avoid while in + # a mono-repo. + # See https://github.com/sphinx-doc/sphinx/blob + # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 + "ref.python" +] + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + # 'papersize': 'letterpaper', + # The font size ('10pt', '11pt' or '12pt'). + # 'pointsize': '10pt', + # Additional stuff for the LaTeX preamble. + # 'preamble': '', + # Latex figure (float) alignment + # 'figure_align': 'htbp', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + ( + root_doc, + "google-cloud-memcache.tex", + u"google-cloud-memcache Documentation", + author, + "manual", + ) +] + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +# latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +# latex_use_parts = False + +# If true, show page references after internal links. +# latex_show_pagerefs = False + +# If true, show URL addresses after external links. +# latex_show_urls = False + +# Documents to append as an appendix to all manuals. +# latex_appendices = [] + +# If false, no module index is generated. +# latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + ( + root_doc, + "google-cloud-memcache", + u"Google Cloud Memcache Documentation", + [author], + 1, + ) +] + +# If true, show URL addresses after external links. +# man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ( + root_doc, + "google-cloud-memcache", + u"google-cloud-memcache Documentation", + author, + "google-cloud-memcache", + "GAPIC library for Google Cloud Memcache API", + "APIs", + ) +] + +# Documents to append as an appendix to all manuals. +# texinfo_appendices = [] + +# If false, no module index is generated. +# texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +# texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +# texinfo_no_detailmenu = False + + +# Example configuration for intersphinx: refer to the Python standard library. +intersphinx_mapping = { + "python": ("http://python.readthedocs.org/en/latest/", None), + "gax": ("https://gax-python.readthedocs.org/en/latest/", None), + "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), + "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), + "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), + "grpc": ("https://grpc.io/grpc/python/", None), + "requests": ("http://requests.kennethreitz.org/en/stable/", None), + "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), + "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), +} + + +# Napoleon settings +napoleon_google_docstring = True +napoleon_numpy_docstring = True +napoleon_include_private_with_doc = False +napoleon_include_special_with_doc = True +napoleon_use_admonition_for_examples = False +napoleon_use_admonition_for_notes = False +napoleon_use_admonition_for_references = False +napoleon_use_ivar = False +napoleon_use_param = True +napoleon_use_rtype = True diff --git a/owl-bot-staging/v1beta2/docs/index.rst b/owl-bot-staging/v1beta2/docs/index.rst new file mode 100644 index 0000000..52e2cbf --- /dev/null +++ b/owl-bot-staging/v1beta2/docs/index.rst @@ -0,0 +1,7 @@ +API Reference +------------- +.. toctree:: + :maxdepth: 2 + + memcache_v1beta2/services + memcache_v1beta2/types diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst new file mode 100644 index 0000000..7dc7a82 --- /dev/null +++ b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst @@ -0,0 +1,10 @@ +CloudMemcache +------------------------------- + +.. automodule:: google.cloud.memcache_v1beta2.services.cloud_memcache + :members: + :inherited-members: + +.. automodule:: google.cloud.memcache_v1beta2.services.cloud_memcache.pagers + :members: + :inherited-members: diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst new file mode 100644 index 0000000..e5faef5 --- /dev/null +++ b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst @@ -0,0 +1,6 @@ +Services for Google Cloud Memcache v1beta2 API +============================================== +.. toctree:: + :maxdepth: 2 + + cloud_memcache diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst new file mode 100644 index 0000000..19e52f6 --- /dev/null +++ b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst @@ -0,0 +1,7 @@ +Types for Google Cloud Memcache v1beta2 API +=========================================== + +.. automodule:: google.cloud.memcache_v1beta2.types + :members: + :undoc-members: + :show-inheritance: diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py new file mode 100644 index 0000000..089b411 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py @@ -0,0 +1,53 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from google.cloud.memcache_v1beta2.services.cloud_memcache.client import CloudMemcacheClient +from google.cloud.memcache_v1beta2.services.cloud_memcache.async_client import CloudMemcacheAsyncClient + +from google.cloud.memcache_v1beta2.types.cloud_memcache import ApplyParametersRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import ApplySoftwareUpdateRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import CreateInstanceRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import DeleteInstanceRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import GetInstanceRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import Instance +from google.cloud.memcache_v1beta2.types.cloud_memcache import ListInstancesRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import ListInstancesResponse +from google.cloud.memcache_v1beta2.types.cloud_memcache import LocationMetadata +from google.cloud.memcache_v1beta2.types.cloud_memcache import MemcacheParameters +from google.cloud.memcache_v1beta2.types.cloud_memcache import OperationMetadata +from google.cloud.memcache_v1beta2.types.cloud_memcache import UpdateInstanceRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import UpdateParametersRequest +from google.cloud.memcache_v1beta2.types.cloud_memcache import ZoneMetadata +from google.cloud.memcache_v1beta2.types.cloud_memcache import MemcacheVersion + +__all__ = ('CloudMemcacheClient', + 'CloudMemcacheAsyncClient', + 'ApplyParametersRequest', + 'ApplySoftwareUpdateRequest', + 'CreateInstanceRequest', + 'DeleteInstanceRequest', + 'GetInstanceRequest', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'LocationMetadata', + 'MemcacheParameters', + 'OperationMetadata', + 'UpdateInstanceRequest', + 'UpdateParametersRequest', + 'ZoneMetadata', + 'MemcacheVersion', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed b/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed new file mode 100644 index 0000000..7959cf4 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py new file mode 100644 index 0000000..7f9cce4 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py @@ -0,0 +1,54 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +from .services.cloud_memcache import CloudMemcacheClient +from .services.cloud_memcache import CloudMemcacheAsyncClient + +from .types.cloud_memcache import ApplyParametersRequest +from .types.cloud_memcache import ApplySoftwareUpdateRequest +from .types.cloud_memcache import CreateInstanceRequest +from .types.cloud_memcache import DeleteInstanceRequest +from .types.cloud_memcache import GetInstanceRequest +from .types.cloud_memcache import Instance +from .types.cloud_memcache import ListInstancesRequest +from .types.cloud_memcache import ListInstancesResponse +from .types.cloud_memcache import LocationMetadata +from .types.cloud_memcache import MemcacheParameters +from .types.cloud_memcache import OperationMetadata +from .types.cloud_memcache import UpdateInstanceRequest +from .types.cloud_memcache import UpdateParametersRequest +from .types.cloud_memcache import ZoneMetadata +from .types.cloud_memcache import MemcacheVersion + +__all__ = ( + 'CloudMemcacheAsyncClient', +'ApplyParametersRequest', +'ApplySoftwareUpdateRequest', +'CloudMemcacheClient', +'CreateInstanceRequest', +'DeleteInstanceRequest', +'GetInstanceRequest', +'Instance', +'ListInstancesRequest', +'ListInstancesResponse', +'LocationMetadata', +'MemcacheParameters', +'MemcacheVersion', +'OperationMetadata', +'UpdateInstanceRequest', +'UpdateParametersRequest', +'ZoneMetadata', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json new file mode 100644 index 0000000..288ef89 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json @@ -0,0 +1,103 @@ + { + "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", + "language": "python", + "libraryPackage": "google.cloud.memcache_v1beta2", + "protoPackage": "google.cloud.memcache.v1beta2", + "schema": "1.0", + "services": { + "CloudMemcache": { + "clients": { + "grpc": { + "libraryClient": "CloudMemcacheClient", + "rpcs": { + "ApplyParameters": { + "methods": [ + "apply_parameters" + ] + }, + "ApplySoftwareUpdate": { + "methods": [ + "apply_software_update" + ] + }, + "CreateInstance": { + "methods": [ + "create_instance" + ] + }, + "DeleteInstance": { + "methods": [ + "delete_instance" + ] + }, + "GetInstance": { + "methods": [ + "get_instance" + ] + }, + "ListInstances": { + "methods": [ + "list_instances" + ] + }, + "UpdateInstance": { + "methods": [ + "update_instance" + ] + }, + "UpdateParameters": { + "methods": [ + "update_parameters" + ] + } + } + }, + "grpc-async": { + "libraryClient": "CloudMemcacheAsyncClient", + "rpcs": { + "ApplyParameters": { + "methods": [ + "apply_parameters" + ] + }, + "ApplySoftwareUpdate": { + "methods": [ + "apply_software_update" + ] + }, + "CreateInstance": { + "methods": [ + "create_instance" + ] + }, + "DeleteInstance": { + "methods": [ + "delete_instance" + ] + }, + "GetInstance": { + "methods": [ + "get_instance" + ] + }, + "ListInstances": { + "methods": [ + "list_instances" + ] + }, + "UpdateInstance": { + "methods": [ + "update_instance" + ] + }, + "UpdateParameters": { + "methods": [ + "update_parameters" + ] + } + } + } + } + } + } +} diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed new file mode 100644 index 0000000..7959cf4 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed @@ -0,0 +1,2 @@ +# Marker file for PEP 561. +# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py new file mode 100644 index 0000000..e8e1c38 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py @@ -0,0 +1,15 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py new file mode 100644 index 0000000..a7034a9 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py @@ -0,0 +1,22 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .client import CloudMemcacheClient +from .async_client import CloudMemcacheAsyncClient + +__all__ = ( + 'CloudMemcacheClient', + 'CloudMemcacheAsyncClient', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py new file mode 100644 index 0000000..aa2f888 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py @@ -0,0 +1,1227 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import functools +import re +from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union +import pkg_resources + +from google.api_core.client_options import ClientOptions +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport +from .client import CloudMemcacheClient + + +class CloudMemcacheAsyncClient: + """Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + """ + + _client: CloudMemcacheClient + + DEFAULT_ENDPOINT = CloudMemcacheClient.DEFAULT_ENDPOINT + DEFAULT_MTLS_ENDPOINT = CloudMemcacheClient.DEFAULT_MTLS_ENDPOINT + + instance_path = staticmethod(CloudMemcacheClient.instance_path) + parse_instance_path = staticmethod(CloudMemcacheClient.parse_instance_path) + common_billing_account_path = staticmethod(CloudMemcacheClient.common_billing_account_path) + parse_common_billing_account_path = staticmethod(CloudMemcacheClient.parse_common_billing_account_path) + common_folder_path = staticmethod(CloudMemcacheClient.common_folder_path) + parse_common_folder_path = staticmethod(CloudMemcacheClient.parse_common_folder_path) + common_organization_path = staticmethod(CloudMemcacheClient.common_organization_path) + parse_common_organization_path = staticmethod(CloudMemcacheClient.parse_common_organization_path) + common_project_path = staticmethod(CloudMemcacheClient.common_project_path) + parse_common_project_path = staticmethod(CloudMemcacheClient.parse_common_project_path) + common_location_path = staticmethod(CloudMemcacheClient.common_location_path) + parse_common_location_path = staticmethod(CloudMemcacheClient.parse_common_location_path) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheAsyncClient: The constructed client. + """ + return CloudMemcacheClient.from_service_account_info.__func__(CloudMemcacheAsyncClient, info, *args, **kwargs) # type: ignore + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheAsyncClient: The constructed client. + """ + return CloudMemcacheClient.from_service_account_file.__func__(CloudMemcacheAsyncClient, filename, *args, **kwargs) # type: ignore + + from_service_account_json = from_service_account_file + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variabel is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + return CloudMemcacheClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore + + @property + def transport(self) -> CloudMemcacheTransport: + """Returns the transport used by the client instance. + + Returns: + CloudMemcacheTransport: The transport used by the client instance. + """ + return self._client.transport + + get_transport_class = functools.partial(type(CloudMemcacheClient).get_transport_class, type(CloudMemcacheClient)) + + def __init__(self, *, + credentials: ga_credentials.Credentials = None, + transport: Union[str, CloudMemcacheTransport] = "grpc_asyncio", + client_options: ClientOptions = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the cloud memcache client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, ~.CloudMemcacheTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (ClientOptions): Custom options for the client. It + won't take effect if a ``transport`` instance is provided. + (1) The ``api_endpoint`` property can be used to override the + default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT + environment variable can also be used to override the endpoint: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto switch to the + default mTLS endpoint if client certificate is present, this is + the default value). However, the ``api_endpoint`` property takes + precedence if provided. + (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide client certificate for mutual TLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + """ + self._client = CloudMemcacheClient( + credentials=credentials, + transport=transport, + client_options=client_options, + client_info=client_info, + + ) + + async def list_instances(self, + request: Union[cloud_memcache.ListInstancesRequest, dict] = None, + *, + parent: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListInstancesAsyncPager: + r"""Lists Instances in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_list_instances(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + async for response in page_result: + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ListInstancesRequest, dict]): + The request object. Request for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + parent (:class:`str`): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1beta2.services.cloud_memcache.pagers.ListInstancesAsyncPager: + Response for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.ListInstancesRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.list_instances, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__aiter__` convenience method. + response = pagers.ListInstancesAsyncPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def get_instance(self, + request: Union[cloud_memcache.GetInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> cloud_memcache.Instance: + r"""Gets details of a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_get_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = await client.get_instance(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.GetInstanceRequest, dict]): + The request object. Request for + [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. + name (:class:`str`): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1beta2.types.Instance: + A Memorystore for Memcached instance + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.GetInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.get_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + async def create_instance(self, + request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, + *, + parent: str = None, + instance_id: str = None, + resource: cloud_memcache.Instance = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Creates a new Instance in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_create_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + resource=resource, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.CreateInstanceRequest, dict]): + The request object. Request for + [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. + parent (:class:`str`): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance_id (:class:`str`): + Required. The logical name of the Memcached instance in + the user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location. + + If any of the above are not met, the API raises an + invalid argument error. + + This corresponds to the ``instance_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + resource (:class:`google.cloud.memcache_v1beta2.types.Instance`): + Required. A Memcached [Instance] resource + This corresponds to the ``resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, instance_id, resource]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.CreateInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if instance_id is not None: + request.instance_id = instance_id + if resource is not None: + request.resource = resource + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.create_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def update_instance(self, + request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, + *, + update_mask: field_mask_pb2.FieldMask = None, + resource: cloud_memcache.Instance = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates an existing Instance in a given project and + location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_update_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.UpdateInstanceRequest( + resource=resource, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.UpdateInstanceRequest, dict]): + The request object. Request for + [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. Mask of fields to update. + + - ``displayName`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + resource (:class:`google.cloud.memcache_v1beta2.types.Instance`): + Required. A Memcached [Instance] resource. Only fields + specified in update_mask are updated. + + This corresponds to the ``resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([update_mask, resource]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.UpdateInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if update_mask is not None: + request.update_mask = update_mask + if resource is not None: + request.resource = resource + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.update_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("resource.name", request.resource.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def update_parameters(self, + request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, + *, + name: str = None, + update_mask: field_mask_pb2.FieldMask = None, + parameters: cloud_memcache.MemcacheParameters = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates the defined Memcached parameters for an existing + instance. This method only stages the parameters, it must be + followed by ``ApplyParameters`` to apply the parameters to nodes + of the Memcached instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_update_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.UpdateParametersRequest, dict]): + The request object. Request for + [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. + name (:class:`str`): + Required. Resource name of the + Memcached instance for which the + parameters should be updated. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): + Required. Mask of fields to update. + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + parameters (:class:`google.cloud.memcache_v1beta2.types.MemcacheParameters`): + The parameters to apply to the + instance. + + This corresponds to the ``parameters`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, update_mask, parameters]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.UpdateParametersRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if update_mask is not None: + request.update_mask = update_mask + if parameters is not None: + request.parameters = parameters + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.update_parameters, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def delete_instance(self, + request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Deletes a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_delete_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.DeleteInstanceRequest, dict]): + The request object. Request for + [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. + name (:class:`str`): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + The JSON representation for Empty is empty JSON + object {}. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.DeleteInstanceRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.delete_instance, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + empty_pb2.Empty, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def apply_parameters(self, + request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, + *, + name: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""``ApplyParameters`` restarts the set of specified nodes in order + to update them to the current set of parameters for the + Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_apply_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ApplyParametersRequest, dict]): + The request object. Request for + [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. + name (:class:`str`): + Required. Resource name of the + Memcached instance for which parameter + group updates should be applied. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (:class:`Sequence[str]`): + Nodes to which the instance-level + parameter group is applied. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (:class:`bool`): + Whether to apply instance-level parameter group to all + nodes. If set to true, users are restricted from + specifying individual nodes, and ``ApplyParameters`` + updates all nodes within the instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.ApplyParametersRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if apply_all is not None: + request.apply_all = apply_all + if node_ids: + request.node_ids.extend(node_ids) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.apply_parameters, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def apply_software_update(self, + request: Union[cloud_memcache.ApplySoftwareUpdateRequest, dict] = None, + *, + instance: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation_async.AsyncOperation: + r"""Updates software on the selected nodes of the + Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + async def sample_apply_software_update(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplySoftwareUpdateRequest( + instance="instance_value", + ) + + # Make the request + operation = client.apply_software_update(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ApplySoftwareUpdateRequest, dict]): + The request object. Request for + [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. + instance (:class:`str`): + Required. Resource name of the + Memcached instance for which software + update should be applied. + + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (:class:`Sequence[str]`): + Nodes to which we should apply the + update to. Note all the selected nodes + are updated in parallel. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (:class:`bool`): + Whether to apply the update to all + nodes. If set to true, will explicitly + restrict users from specifying any + nodes, and apply software update to all + nodes (where applicable) within the + instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation_async.AsyncOperation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([instance, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError("If the `request` argument is set, then none of " + "the individual field arguments should be set.") + + request = cloud_memcache.ApplySoftwareUpdateRequest(request) + + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if instance is not None: + request.instance = instance + if apply_all is not None: + request.apply_all = apply_all + if node_ids: + request.node_ids.extend(node_ids) + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = gapic_v1.method_async.wrap_method( + self._client._transport.apply_software_update, + default_timeout=1200.0, + client_info=DEFAULT_CLIENT_INFO, + ) + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("instance", request.instance), + )), + ) + + # Send the request. + response = await rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation_async.from_gapic( + response, + self._client._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + async def __aenter__(self): + return self + + async def __aexit__(self, exc_type, exc, tb): + await self.transport.close() + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + "google-cloud-memcache", + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +__all__ = ( + "CloudMemcacheAsyncClient", +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py new file mode 100644 index 0000000..a39bf67 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py @@ -0,0 +1,1427 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +import os +import re +from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union +import pkg_resources + +from google.api_core import client_options as client_options_lib +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport import mtls # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore +from google.auth.exceptions import MutualTLSChannelError # type: ignore +from google.oauth2 import service_account # type: ignore + +try: + OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] +except AttributeError: # pragma: NO COVER + OptionalRetry = Union[retries.Retry, object] # type: ignore + +from google.api_core import operation # type: ignore +from google.api_core import operation_async # type: ignore +from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.protobuf import empty_pb2 # type: ignore +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .transports.grpc import CloudMemcacheGrpcTransport +from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport + + +class CloudMemcacheClientMeta(type): + """Metaclass for the CloudMemcache client. + + This provides class-level methods for building and retrieving + support objects (e.g. transport) without polluting the client instance + objects. + """ + _transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] + _transport_registry["grpc"] = CloudMemcacheGrpcTransport + _transport_registry["grpc_asyncio"] = CloudMemcacheGrpcAsyncIOTransport + + def get_transport_class(cls, + label: str = None, + ) -> Type[CloudMemcacheTransport]: + """Returns an appropriate transport class. + + Args: + label: The name of the desired transport. If none is + provided, then the first transport in the registry is used. + + Returns: + The transport class to use. + """ + # If a specific transport is requested, return that one. + if label: + return cls._transport_registry[label] + + # No transport is requested; return the default (that is, the first one + # in the dictionary). + return next(iter(cls._transport_registry.values())) + + +class CloudMemcacheClient(metaclass=CloudMemcacheClientMeta): + """Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + """ + + @staticmethod + def _get_default_mtls_endpoint(api_endpoint): + """Converts api endpoint to mTLS endpoint. + + Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to + "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. + Args: + api_endpoint (Optional[str]): the api endpoint to convert. + Returns: + str: converted mTLS api endpoint. + """ + if not api_endpoint: + return api_endpoint + + mtls_endpoint_re = re.compile( + r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" + ) + + m = mtls_endpoint_re.match(api_endpoint) + name, mtls, sandbox, googledomain = m.groups() + if mtls or not googledomain: + return api_endpoint + + if sandbox: + return api_endpoint.replace( + "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" + ) + + return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") + + DEFAULT_ENDPOINT = "memcache.googleapis.com" + DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore + DEFAULT_ENDPOINT + ) + + @classmethod + def from_service_account_info(cls, info: dict, *args, **kwargs): + """Creates an instance of this client using the provided credentials + info. + + Args: + info (dict): The service account private key info. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_info(info) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + @classmethod + def from_service_account_file(cls, filename: str, *args, **kwargs): + """Creates an instance of this client using the provided credentials + file. + + Args: + filename (str): The path to the service account private key json + file. + args: Additional arguments to pass to the constructor. + kwargs: Additional arguments to pass to the constructor. + + Returns: + CloudMemcacheClient: The constructed client. + """ + credentials = service_account.Credentials.from_service_account_file( + filename) + kwargs["credentials"] = credentials + return cls(*args, **kwargs) + + from_service_account_json = from_service_account_file + + @property + def transport(self) -> CloudMemcacheTransport: + """Returns the transport used by the client instance. + + Returns: + CloudMemcacheTransport: The transport used by the client + instance. + """ + return self._transport + + @staticmethod + def instance_path(project: str,location: str,instance: str,) -> str: + """Returns a fully-qualified instance string.""" + return "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) + + @staticmethod + def parse_instance_path(path: str) -> Dict[str,str]: + """Parses a instance path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/instances/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_billing_account_path(billing_account: str, ) -> str: + """Returns a fully-qualified billing_account string.""" + return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + + @staticmethod + def parse_common_billing_account_path(path: str) -> Dict[str,str]: + """Parse a billing_account path into its component segments.""" + m = re.match(r"^billingAccounts/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_folder_path(folder: str, ) -> str: + """Returns a fully-qualified folder string.""" + return "folders/{folder}".format(folder=folder, ) + + @staticmethod + def parse_common_folder_path(path: str) -> Dict[str,str]: + """Parse a folder path into its component segments.""" + m = re.match(r"^folders/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_organization_path(organization: str, ) -> str: + """Returns a fully-qualified organization string.""" + return "organizations/{organization}".format(organization=organization, ) + + @staticmethod + def parse_common_organization_path(path: str) -> Dict[str,str]: + """Parse a organization path into its component segments.""" + m = re.match(r"^organizations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_project_path(project: str, ) -> str: + """Returns a fully-qualified project string.""" + return "projects/{project}".format(project=project, ) + + @staticmethod + def parse_common_project_path(path: str) -> Dict[str,str]: + """Parse a project path into its component segments.""" + m = re.match(r"^projects/(?P.+?)$", path) + return m.groupdict() if m else {} + + @staticmethod + def common_location_path(project: str, location: str, ) -> str: + """Returns a fully-qualified location string.""" + return "projects/{project}/locations/{location}".format(project=project, location=location, ) + + @staticmethod + def parse_common_location_path(path: str) -> Dict[str,str]: + """Parse a location path into its component segments.""" + m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) + return m.groupdict() if m else {} + + @classmethod + def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): + """Return the API endpoint and client cert source for mutual TLS. + + The client cert source is determined in the following order: + (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the + client cert source is None. + (2) if `client_options.client_cert_source` is provided, use the provided one; if the + default client cert source exists, use the default one; otherwise the client cert + source is None. + + The API endpoint is determined in the following order: + (1) if `client_options.api_endpoint` if provided, use the provided one. + (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the + default mTLS endpoint; if the environment variabel is "never", use the default API + endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise + use the default API endpoint. + + More details can be found at https://google.aip.dev/auth/4114. + + Args: + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. Only the `api_endpoint` and `client_cert_source` properties may be used + in this method. + + Returns: + Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the + client cert source to use. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If any errors happen. + """ + if client_options is None: + client_options = client_options_lib.ClientOptions() + use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") + use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") + if use_client_cert not in ("true", "false"): + raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") + if use_mtls_endpoint not in ("auto", "never", "always"): + raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") + + # Figure out the client cert source to use. + client_cert_source = None + if use_client_cert == "true": + if client_options.client_cert_source: + client_cert_source = client_options.client_cert_source + elif mtls.has_default_client_cert_source(): + client_cert_source = mtls.default_client_cert_source() + + # Figure out which api endpoint to use. + if client_options.api_endpoint is not None: + api_endpoint = client_options.api_endpoint + elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): + api_endpoint = cls.DEFAULT_MTLS_ENDPOINT + else: + api_endpoint = cls.DEFAULT_ENDPOINT + + return api_endpoint, client_cert_source + + def __init__(self, *, + credentials: Optional[ga_credentials.Credentials] = None, + transport: Union[str, CloudMemcacheTransport, None] = None, + client_options: Optional[client_options_lib.ClientOptions] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + ) -> None: + """Instantiates the cloud memcache client. + + Args: + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + transport (Union[str, CloudMemcacheTransport]): The + transport to use. If set to None, a transport is chosen + automatically. + client_options (google.api_core.client_options.ClientOptions): Custom options for the + client. It won't take effect if a ``transport`` instance is provided. + (1) The ``api_endpoint`` property can be used to override the + default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT + environment variable can also be used to override the endpoint: + "always" (always use the default mTLS endpoint), "never" (always + use the default regular endpoint) and "auto" (auto switch to the + default mTLS endpoint if client certificate is present, this is + the default value). However, the ``api_endpoint`` property takes + precedence if provided. + (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable + is "true", then the ``client_cert_source`` property can be used + to provide client certificate for mutual TLS transport. If + not provided, the default SSL client certificate will be used if + present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not + set, no client certificate will be used. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + """ + if isinstance(client_options, dict): + client_options = client_options_lib.from_dict(client_options) + if client_options is None: + client_options = client_options_lib.ClientOptions() + + api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(client_options) + + api_key_value = getattr(client_options, "api_key", None) + if api_key_value and credentials: + raise ValueError("client_options.api_key and credentials are mutually exclusive") + + # Save or instantiate the transport. + # Ordinarily, we provide the transport, but allowing a custom transport + # instance provides an extensibility point for unusual situations. + if isinstance(transport, CloudMemcacheTransport): + # transport is a CloudMemcacheTransport instance. + if credentials or client_options.credentials_file or api_key_value: + raise ValueError("When providing a transport instance, " + "provide its credentials directly.") + if client_options.scopes: + raise ValueError( + "When providing a transport instance, provide its scopes " + "directly." + ) + self._transport = transport + else: + import google.auth._default # type: ignore + + if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): + credentials = google.auth._default.get_api_key_credentials(api_key_value) + + Transport = type(self).get_transport_class(transport) + self._transport = Transport( + credentials=credentials, + credentials_file=client_options.credentials_file, + host=api_endpoint, + scopes=client_options.scopes, + client_cert_source_for_mtls=client_cert_source_func, + quota_project_id=client_options.quota_project_id, + client_info=client_info, + always_use_jwt_access=True, + api_audience=client_options.api_audience, + ) + + def list_instances(self, + request: Union[cloud_memcache.ListInstancesRequest, dict] = None, + *, + parent: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> pagers.ListInstancesPager: + r"""Lists Instances in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_list_instances(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + for response in page_result: + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ListInstancesRequest, dict]): + The request object. Request for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + parent (str): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1beta2.services.cloud_memcache.pagers.ListInstancesPager: + Response for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + + Iterating over this object will yield results and + resolve additional pages automatically. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.ListInstancesRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.ListInstancesRequest): + request = cloud_memcache.ListInstancesRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.list_instances] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # This method is paged; wrap the response in a pager, which provides + # an `__iter__` convenience method. + response = pagers.ListInstancesPager( + method=rpc, + request=request, + response=response, + metadata=metadata, + ) + + # Done; return the response. + return response + + def get_instance(self, + request: Union[cloud_memcache.GetInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> cloud_memcache.Instance: + r"""Gets details of a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_get_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = client.get_instance(request=request) + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.GetInstanceRequest, dict]): + The request object. Request for + [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. + name (str): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.cloud.memcache_v1beta2.types.Instance: + A Memorystore for Memcached instance + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.GetInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.GetInstanceRequest): + request = cloud_memcache.GetInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.get_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Done; return the response. + return response + + def create_instance(self, + request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, + *, + parent: str = None, + instance_id: str = None, + resource: cloud_memcache.Instance = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Creates a new Instance in a given location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_create_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + resource=resource, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.CreateInstanceRequest, dict]): + The request object. Request for + [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. + parent (str): + Required. The resource name of the instance location + using the form: + ``projects/{project_id}/locations/{location_id}`` where + ``location_id`` refers to a GCP region + + This corresponds to the ``parent`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + instance_id (str): + Required. The logical name of the Memcached instance in + the user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location. + + If any of the above are not met, the API raises an + invalid argument error. + + This corresponds to the ``instance_id`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + resource (google.cloud.memcache_v1beta2.types.Instance): + Required. A Memcached [Instance] resource + This corresponds to the ``resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([parent, instance_id, resource]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.CreateInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.CreateInstanceRequest): + request = cloud_memcache.CreateInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if parent is not None: + request.parent = parent + if instance_id is not None: + request.instance_id = instance_id + if resource is not None: + request.resource = resource + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.create_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("parent", request.parent), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def update_instance(self, + request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, + *, + update_mask: field_mask_pb2.FieldMask = None, + resource: cloud_memcache.Instance = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates an existing Instance in a given project and + location. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_update_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.UpdateInstanceRequest( + resource=resource, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.UpdateInstanceRequest, dict]): + The request object. Request for + [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + + - ``displayName`` + + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + resource (google.cloud.memcache_v1beta2.types.Instance): + Required. A Memcached [Instance] resource. Only fields + specified in update_mask are updated. + + This corresponds to the ``resource`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([update_mask, resource]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.UpdateInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.UpdateInstanceRequest): + request = cloud_memcache.UpdateInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if update_mask is not None: + request.update_mask = update_mask + if resource is not None: + request.resource = resource + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("resource.name", request.resource.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def update_parameters(self, + request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, + *, + name: str = None, + update_mask: field_mask_pb2.FieldMask = None, + parameters: cloud_memcache.MemcacheParameters = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates the defined Memcached parameters for an existing + instance. This method only stages the parameters, it must be + followed by ``ApplyParameters`` to apply the parameters to nodes + of the Memcached instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_update_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.UpdateParametersRequest, dict]): + The request object. Request for + [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. + name (str): + Required. Resource name of the + Memcached instance for which the + parameters should be updated. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + This corresponds to the ``update_mask`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): + The parameters to apply to the + instance. + + This corresponds to the ``parameters`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, update_mask, parameters]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.UpdateParametersRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.UpdateParametersRequest): + request = cloud_memcache.UpdateParametersRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if update_mask is not None: + request.update_mask = update_mask + if parameters is not None: + request.parameters = parameters + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.update_parameters] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def delete_instance(self, + request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, + *, + name: str = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Deletes a single Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_delete_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.DeleteInstanceRequest, dict]): + The request object. Request for + [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. + name (str): + Required. Memcached instance resource name in the + format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated + empty messages in your APIs. A typical example is to + use it as the request or the response type of an API + method. For instance: + + service Foo { + rpc Bar(google.protobuf.Empty) returns + (google.protobuf.Empty); + + } + + The JSON representation for Empty is empty JSON + object {}. + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.DeleteInstanceRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.DeleteInstanceRequest): + request = cloud_memcache.DeleteInstanceRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.delete_instance] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + empty_pb2.Empty, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def apply_parameters(self, + request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, + *, + name: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""``ApplyParameters`` restarts the set of specified nodes in order + to update them to the current set of parameters for the + Memcached Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_apply_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ApplyParametersRequest, dict]): + The request object. Request for + [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. + name (str): + Required. Resource name of the + Memcached instance for which parameter + group updates should be applied. + + This corresponds to the ``name`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (Sequence[str]): + Nodes to which the instance-level + parameter group is applied. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (bool): + Whether to apply instance-level parameter group to all + nodes. If set to true, users are restricted from + specifying individual nodes, and ``ApplyParameters`` + updates all nodes within the instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([name, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.ApplyParametersRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.ApplyParametersRequest): + request = cloud_memcache.ApplyParametersRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if name is not None: + request.name = name + if node_ids is not None: + request.node_ids = node_ids + if apply_all is not None: + request.apply_all = apply_all + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.apply_parameters] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("name", request.name), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def apply_software_update(self, + request: Union[cloud_memcache.ApplySoftwareUpdateRequest, dict] = None, + *, + instance: str = None, + node_ids: Sequence[str] = None, + apply_all: bool = None, + retry: OptionalRetry = gapic_v1.method.DEFAULT, + timeout: float = None, + metadata: Sequence[Tuple[str, str]] = (), + ) -> operation.Operation: + r"""Updates software on the selected nodes of the + Instance. + + .. code-block:: python + + from google.cloud import memcache_v1beta2 + + def sample_apply_software_update(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplySoftwareUpdateRequest( + instance="instance_value", + ) + + # Make the request + operation = client.apply_software_update(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + + Args: + request (Union[google.cloud.memcache_v1beta2.types.ApplySoftwareUpdateRequest, dict]): + The request object. Request for + [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. + instance (str): + Required. Resource name of the + Memcached instance for which software + update should be applied. + + This corresponds to the ``instance`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + node_ids (Sequence[str]): + Nodes to which we should apply the + update to. Note all the selected nodes + are updated in parallel. + + This corresponds to the ``node_ids`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + apply_all (bool): + Whether to apply the update to all + nodes. If set to true, will explicitly + restrict users from specifying any + nodes, and apply software update to all + nodes (where applicable) within the + instance. + + This corresponds to the ``apply_all`` field + on the ``request`` instance; if ``request`` is provided, this + should not be set. + retry (google.api_core.retry.Retry): Designation of what errors, if any, + should be retried. + timeout (float): The timeout for this request. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + + Returns: + google.api_core.operation.Operation: + An object representing a long-running operation. + + The result type for the operation will be + :class:`google.cloud.memcache_v1beta2.types.Instance` A + Memorystore for Memcached instance + + """ + # Create or coerce a protobuf request object. + # Quick check: If we got a request object, we should *not* have + # gotten any keyword arguments that map to the request. + has_flattened_params = any([instance, node_ids, apply_all]) + if request is not None and has_flattened_params: + raise ValueError('If the `request` argument is set, then none of ' + 'the individual field arguments should be set.') + + # Minor optimization to avoid making a copy if the user passes + # in a cloud_memcache.ApplySoftwareUpdateRequest. + # There's no risk of modifying the input as we've already verified + # there are no flattened fields. + if not isinstance(request, cloud_memcache.ApplySoftwareUpdateRequest): + request = cloud_memcache.ApplySoftwareUpdateRequest(request) + # If we have keyword arguments corresponding to fields on the + # request, apply these. + if instance is not None: + request.instance = instance + if node_ids is not None: + request.node_ids = node_ids + if apply_all is not None: + request.apply_all = apply_all + + # Wrap the RPC method; this adds retry and timeout information, + # and friendly error handling. + rpc = self._transport._wrapped_methods[self._transport.apply_software_update] + + # Certain fields should be provided within the metadata header; + # add these here. + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ("instance", request.instance), + )), + ) + + # Send the request. + response = rpc( + request, + retry=retry, + timeout=timeout, + metadata=metadata, + ) + + # Wrap the response in an operation future. + response = operation.from_gapic( + response, + self._transport.operations_client, + cloud_memcache.Instance, + metadata_type=cloud_memcache.OperationMetadata, + ) + + # Done; return the response. + return response + + def __enter__(self): + return self + + def __exit__(self, type, value, traceback): + """Releases underlying transport's resources. + + .. warning:: + ONLY use as a context manager if the transport is NOT shared + with other clients! Exiting the with block will CLOSE the transport + and may cause errors in other clients! + """ + self.transport.close() + + + + + + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + "google-cloud-memcache", + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +__all__ = ( + "CloudMemcacheClient", +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py new file mode 100644 index 0000000..79e396b --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py @@ -0,0 +1,139 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator + +from google.cloud.memcache_v1beta2.types import cloud_memcache + + +class ListInstancesPager: + """A pager for iterating through ``list_instances`` requests. + + This class thinly wraps an initial + :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` object, and + provides an ``__iter__`` method to iterate through its + ``resources`` field. + + If there are more pages, the ``__iter__`` method will make additional + ``ListInstances`` requests and continue to iterate + through the ``resources`` field on the + corresponding responses. + + All the usual :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., cloud_memcache.ListInstancesResponse], + request: cloud_memcache.ListInstancesRequest, + response: cloud_memcache.ListInstancesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiate the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.memcache_v1beta2.types.ListInstancesRequest): + The initial request object. + response (google.cloud.memcache_v1beta2.types.ListInstancesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = cloud_memcache.ListInstancesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + def pages(self) -> Iterator[cloud_memcache.ListInstancesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = self._method(self._request, metadata=self._metadata) + yield self._response + + def __iter__(self) -> Iterator[cloud_memcache.Instance]: + for page in self.pages: + yield from page.resources + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) + + +class ListInstancesAsyncPager: + """A pager for iterating through ``list_instances`` requests. + + This class thinly wraps an initial + :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` object, and + provides an ``__aiter__`` method to iterate through its + ``resources`` field. + + If there are more pages, the ``__aiter__`` method will make additional + ``ListInstances`` requests and continue to iterate + through the ``resources`` field on the + corresponding responses. + + All the usual :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` + attributes are available on the pager. If multiple requests are made, only + the most recent response is retained, and thus used for attribute lookup. + """ + def __init__(self, + method: Callable[..., Awaitable[cloud_memcache.ListInstancesResponse]], + request: cloud_memcache.ListInstancesRequest, + response: cloud_memcache.ListInstancesResponse, + *, + metadata: Sequence[Tuple[str, str]] = ()): + """Instantiates the pager. + + Args: + method (Callable): The method that was originally called, and + which instantiated this pager. + request (google.cloud.memcache_v1beta2.types.ListInstancesRequest): + The initial request object. + response (google.cloud.memcache_v1beta2.types.ListInstancesResponse): + The initial response object. + metadata (Sequence[Tuple[str, str]]): Strings which should be + sent along with the request as metadata. + """ + self._method = method + self._request = cloud_memcache.ListInstancesRequest(request) + self._response = response + self._metadata = metadata + + def __getattr__(self, name: str) -> Any: + return getattr(self._response, name) + + @property + async def pages(self) -> AsyncIterator[cloud_memcache.ListInstancesResponse]: + yield self._response + while self._response.next_page_token: + self._request.page_token = self._response.next_page_token + self._response = await self._method(self._request, metadata=self._metadata) + yield self._response + def __aiter__(self) -> AsyncIterator[cloud_memcache.Instance]: + async def async_generator(): + async for page in self.pages: + for response in page.resources: + yield response + + return async_generator() + + def __repr__(self) -> str: + return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py new file mode 100644 index 0000000..6067238 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py @@ -0,0 +1,33 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from collections import OrderedDict +from typing import Dict, Type + +from .base import CloudMemcacheTransport +from .grpc import CloudMemcacheGrpcTransport +from .grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport + + +# Compile a registry of transports. +_transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] +_transport_registry['grpc'] = CloudMemcacheGrpcTransport +_transport_registry['grpc_asyncio'] = CloudMemcacheGrpcAsyncIOTransport + +__all__ = ( + 'CloudMemcacheTransport', + 'CloudMemcacheGrpcTransport', + 'CloudMemcacheGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py new file mode 100644 index 0000000..2575ee8 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py @@ -0,0 +1,259 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import abc +from typing import Awaitable, Callable, Dict, Optional, Sequence, Union +import pkg_resources + +import google.auth # type: ignore +import google.api_core +from google.api_core import exceptions as core_exceptions +from google.api_core import gapic_v1 +from google.api_core import retry as retries +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.oauth2 import service_account # type: ignore + +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore + +try: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( + gapic_version=pkg_resources.get_distribution( + 'google-cloud-memcache', + ).version, + ) +except pkg_resources.DistributionNotFound: + DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() + + +class CloudMemcacheTransport(abc.ABC): + """Abstract transport class for CloudMemcache.""" + + AUTH_SCOPES = ( + 'https://www.googleapis.com/auth/cloud-platform', + ) + + DEFAULT_HOST: str = 'memcache.googleapis.com' + def __init__( + self, *, + host: str = DEFAULT_HOST, + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + **kwargs, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A list of scopes. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + """ + + scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} + + # Save the scopes. + self._scopes = scopes + + # If no credentials are provided, then determine the appropriate + # defaults. + if credentials and credentials_file: + raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") + + if credentials_file is not None: + credentials, _ = google.auth.load_credentials_from_file( + credentials_file, + **scopes_kwargs, + quota_project_id=quota_project_id + ) + elif credentials is None: + credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) + # Don't apply audience if the credentials file passed from user. + if hasattr(credentials, "with_gdch_audience"): + credentials = credentials.with_gdch_audience(api_audience if api_audience else host) + + # If the credentials are service account credentials, then always try to use self signed JWT. + if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): + credentials = credentials.with_always_use_jwt_access(True) + + # Save the credentials. + self._credentials = credentials + + # Save the hostname. Default to port 443 (HTTPS) if none is specified. + if ':' not in host: + host += ':443' + self._host = host + + def _prep_wrapped_messages(self, client_info): + # Precompute the wrapped methods. + self._wrapped_methods = { + self.list_instances: gapic_v1.method.wrap_method( + self.list_instances, + default_timeout=1200.0, + client_info=client_info, + ), + self.get_instance: gapic_v1.method.wrap_method( + self.get_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.create_instance: gapic_v1.method.wrap_method( + self.create_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.update_instance: gapic_v1.method.wrap_method( + self.update_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.update_parameters: gapic_v1.method.wrap_method( + self.update_parameters, + default_timeout=1200.0, + client_info=client_info, + ), + self.delete_instance: gapic_v1.method.wrap_method( + self.delete_instance, + default_timeout=1200.0, + client_info=client_info, + ), + self.apply_parameters: gapic_v1.method.wrap_method( + self.apply_parameters, + default_timeout=1200.0, + client_info=client_info, + ), + self.apply_software_update: gapic_v1.method.wrap_method( + self.apply_software_update, + default_timeout=1200.0, + client_info=client_info, + ), + } + + def close(self): + """Closes resources associated with the transport. + + .. warning:: + Only call this method if the transport is NOT shared + with other clients - this may cause errors in other clients! + """ + raise NotImplementedError() + + @property + def operations_client(self): + """Return the client designed to process long-running operations.""" + raise NotImplementedError() + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + Union[ + cloud_memcache.ListInstancesResponse, + Awaitable[cloud_memcache.ListInstancesResponse] + ]]: + raise NotImplementedError() + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + Union[ + cloud_memcache.Instance, + Awaitable[cloud_memcache.Instance] + ]]: + raise NotImplementedError() + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def apply_software_update(self) -> Callable[ + [cloud_memcache.ApplySoftwareUpdateRequest], + Union[ + operations_pb2.Operation, + Awaitable[operations_pb2.Operation] + ]]: + raise NotImplementedError() + + @property + def kind(self) -> str: + raise NotImplementedError() + + +__all__ = ( + 'CloudMemcacheTransport', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py new file mode 100644 index 0000000..f9fb1bd --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py @@ -0,0 +1,490 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import grpc_helpers +from google.api_core import operations_v1 +from google.api_core import gapic_v1 +import google.auth # type: ignore +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore + +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore +from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO + + +class CloudMemcacheGrpcTransport(CloudMemcacheTransport): + """gRPC backend transport for CloudMemcache. + + Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + _stubs: Dict[str, Callable] + + def __init__(self, *, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: str = None, + scopes: Sequence[str] = None, + channel: grpc.Channel = None, + api_mtls_endpoint: str = None, + client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, + ssl_channel_credentials: grpc.ChannelCredentials = None, + client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, + quota_project_id: Optional[str] = None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional(Sequence[str])): A list of scopes. This argument is + ignored if ``channel`` is provided. + channel (Optional[grpc.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @classmethod + def create_channel(cls, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: str = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> grpc.Channel: + """Create and return a gRPC channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is mutually exclusive with credentials. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + grpc.Channel: A gRPC channel object. + + Raises: + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + + return grpc_helpers.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + @property + def grpc_channel(self) -> grpc.Channel: + """Return the channel designed to connect to this service. + """ + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + cloud_memcache.ListInstancesResponse]: + r"""Return a callable for the list instances method over gRPC. + + Lists Instances in a given location. + + Returns: + Callable[[~.ListInstancesRequest], + ~.ListInstancesResponse]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_instances' not in self._stubs: + self._stubs['list_instances'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ListInstances', + request_serializer=cloud_memcache.ListInstancesRequest.serialize, + response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, + ) + return self._stubs['list_instances'] + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + cloud_memcache.Instance]: + r"""Return a callable for the get instance method over gRPC. + + Gets details of a single Instance. + + Returns: + Callable[[~.GetInstanceRequest], + ~.Instance]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_instance' not in self._stubs: + self._stubs['get_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/GetInstance', + request_serializer=cloud_memcache.GetInstanceRequest.serialize, + response_deserializer=cloud_memcache.Instance.deserialize, + ) + return self._stubs['get_instance'] + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the create instance method over gRPC. + + Creates a new Instance in a given location. + + Returns: + Callable[[~.CreateInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_instance' not in self._stubs: + self._stubs['create_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/CreateInstance', + request_serializer=cloud_memcache.CreateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['create_instance'] + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the update instance method over gRPC. + + Updates an existing Instance in a given project and + location. + + Returns: + Callable[[~.UpdateInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_instance' not in self._stubs: + self._stubs['update_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateInstance', + request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_instance'] + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + operations_pb2.Operation]: + r"""Return a callable for the update parameters method over gRPC. + + Updates the defined Memcached parameters for an existing + instance. This method only stages the parameters, it must be + followed by ``ApplyParameters`` to apply the parameters to nodes + of the Memcached instance. + + Returns: + Callable[[~.UpdateParametersRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_parameters' not in self._stubs: + self._stubs['update_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateParameters', + request_serializer=cloud_memcache.UpdateParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_parameters'] + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + operations_pb2.Operation]: + r"""Return a callable for the delete instance method over gRPC. + + Deletes a single Instance. + + Returns: + Callable[[~.DeleteInstanceRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_instance' not in self._stubs: + self._stubs['delete_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/DeleteInstance', + request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_instance'] + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + operations_pb2.Operation]: + r"""Return a callable for the apply parameters method over gRPC. + + ``ApplyParameters`` restarts the set of specified nodes in order + to update them to the current set of parameters for the + Memcached Instance. + + Returns: + Callable[[~.ApplyParametersRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_parameters' not in self._stubs: + self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ApplyParameters', + request_serializer=cloud_memcache.ApplyParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_parameters'] + + @property + def apply_software_update(self) -> Callable[ + [cloud_memcache.ApplySoftwareUpdateRequest], + operations_pb2.Operation]: + r"""Return a callable for the apply software update method over gRPC. + + Updates software on the selected nodes of the + Instance. + + Returns: + Callable[[~.ApplySoftwareUpdateRequest], + ~.Operation]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_software_update' not in self._stubs: + self._stubs['apply_software_update'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ApplySoftwareUpdate', + request_serializer=cloud_memcache.ApplySoftwareUpdateRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_software_update'] + + def close(self): + self.grpc_channel.close() + + @property + def kind(self) -> str: + return "grpc" + + +__all__ = ( + 'CloudMemcacheGrpcTransport', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py new file mode 100644 index 0000000..d50bd3a --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py @@ -0,0 +1,489 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import warnings +from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union + +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers_async +from google.api_core import operations_v1 +from google.auth import credentials as ga_credentials # type: ignore +from google.auth.transport.grpc import SslCredentials # type: ignore + +import grpc # type: ignore +from grpc.experimental import aio # type: ignore + +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.longrunning import operations_pb2 # type: ignore +from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO +from .grpc import CloudMemcacheGrpcTransport + + +class CloudMemcacheGrpcAsyncIOTransport(CloudMemcacheTransport): + """gRPC AsyncIO backend transport for CloudMemcache. + + Configures and manages Cloud Memorystore for Memcached instances. + + The ``memcache.googleapis.com`` service implements the Google Cloud + Memorystore for Memcached API and defines the following resource + model for managing Memorystore Memcached (also called Memcached + below) instances: + + - The service works with a collection of cloud projects, named: + ``/projects/*`` + - Each project has a collection of available locations, named: + ``/locations/*`` + - Each location has a collection of Memcached instances, named: + ``/instances/*`` + - As such, Memcached instances are resources of the form: + ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note that location_id must be a GCP ``region``; for example: + + - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` + + This class defines the same methods as the primary client, so the + primary client can load the underlying transport implementation + and call it. + + It sends protocol buffers over the wire using gRPC (which is built on + top of HTTP/2); the ``grpcio`` package must be installed. + """ + + _grpc_channel: aio.Channel + _stubs: Dict[str, Callable] = {} + + @classmethod + def create_channel(cls, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + quota_project_id: Optional[str] = None, + **kwargs) -> aio.Channel: + """Create and return a gRPC AsyncIO channel object. + Args: + host (Optional[str]): The host for the channel to use. + credentials (Optional[~.Credentials]): The + authorization credentials to attach to requests. These + credentials identify this application to the service. If + none are specified, the client will attempt to ascertain + the credentials from the environment. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + kwargs (Optional[dict]): Keyword arguments, which are passed to the + channel creation. + Returns: + aio.Channel: A gRPC AsyncIO channel object. + """ + + return grpc_helpers_async.create_channel( + host, + credentials=credentials, + credentials_file=credentials_file, + quota_project_id=quota_project_id, + default_scopes=cls.AUTH_SCOPES, + scopes=scopes, + default_host=cls.DEFAULT_HOST, + **kwargs + ) + + def __init__(self, *, + host: str = 'memcache.googleapis.com', + credentials: ga_credentials.Credentials = None, + credentials_file: Optional[str] = None, + scopes: Optional[Sequence[str]] = None, + channel: aio.Channel = None, + api_mtls_endpoint: str = None, + client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, + ssl_channel_credentials: grpc.ChannelCredentials = None, + client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, + quota_project_id=None, + client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, + always_use_jwt_access: Optional[bool] = False, + api_audience: Optional[str] = None, + ) -> None: + """Instantiate the transport. + + Args: + host (Optional[str]): + The hostname to connect to. + credentials (Optional[google.auth.credentials.Credentials]): The + authorization credentials to attach to requests. These + credentials identify the application to the service; if none + are specified, the client will attempt to ascertain the + credentials from the environment. + This argument is ignored if ``channel`` is provided. + credentials_file (Optional[str]): A file with credentials that can + be loaded with :func:`google.auth.load_credentials_from_file`. + This argument is ignored if ``channel`` is provided. + scopes (Optional[Sequence[str]]): A optional list of scopes needed for this + service. These are only used when credentials are not specified and + are passed to :func:`google.auth.default`. + channel (Optional[aio.Channel]): A ``Channel`` instance through + which to make calls. + api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. + If provided, it overrides the ``host`` argument and tries to create + a mutual TLS channel with client SSL credentials from + ``client_cert_source`` or application default SSL credentials. + client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): + Deprecated. A callback to provide client SSL certificate bytes and + private key bytes, both in PEM format. It is ignored if + ``api_mtls_endpoint`` is None. + ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials + for the grpc channel. It is ignored if ``channel`` is provided. + client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): + A callback to provide client certificate bytes and private key bytes, + both in PEM format. It is used to configure a mutual TLS channel. It is + ignored if ``channel`` or ``ssl_channel_credentials`` is provided. + quota_project_id (Optional[str]): An optional project to use for billing + and quota. + client_info (google.api_core.gapic_v1.client_info.ClientInfo): + The client info used to send a user-agent string along with + API requests. If ``None``, then default info will be used. + Generally, you only need to set this if you're developing + your own client library. + always_use_jwt_access (Optional[bool]): Whether self signed JWT should + be used for service account credentials. + + Raises: + google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport + creation failed for any reason. + google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` + and ``credentials_file`` are passed. + """ + self._grpc_channel = None + self._ssl_channel_credentials = ssl_channel_credentials + self._stubs: Dict[str, Callable] = {} + self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None + + if api_mtls_endpoint: + warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) + if client_cert_source: + warnings.warn("client_cert_source is deprecated", DeprecationWarning) + + if channel: + # Ignore credentials if a channel was passed. + credentials = False + # If a channel was explicitly provided, set it. + self._grpc_channel = channel + self._ssl_channel_credentials = None + else: + if api_mtls_endpoint: + host = api_mtls_endpoint + + # Create SSL credentials with client_cert_source or application + # default SSL credentials. + if client_cert_source: + cert, key = client_cert_source() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + else: + self._ssl_channel_credentials = SslCredentials().ssl_credentials + + else: + if client_cert_source_for_mtls and not ssl_channel_credentials: + cert, key = client_cert_source_for_mtls() + self._ssl_channel_credentials = grpc.ssl_channel_credentials( + certificate_chain=cert, private_key=key + ) + + # The base transport sets the host, credentials and scopes + super().__init__( + host=host, + credentials=credentials, + credentials_file=credentials_file, + scopes=scopes, + quota_project_id=quota_project_id, + client_info=client_info, + always_use_jwt_access=always_use_jwt_access, + api_audience=api_audience, + ) + + if not self._grpc_channel: + self._grpc_channel = type(self).create_channel( + self._host, + # use the credentials which are saved + credentials=self._credentials, + # Set ``credentials_file`` to ``None`` here as + # the credentials that we saved earlier should be used. + credentials_file=None, + scopes=self._scopes, + ssl_credentials=self._ssl_channel_credentials, + quota_project_id=quota_project_id, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Wrap messages. This must be done after self._grpc_channel exists + self._prep_wrapped_messages(client_info) + + @property + def grpc_channel(self) -> aio.Channel: + """Create the channel designed to connect to this service. + + This property caches on the instance; repeated calls return + the same channel. + """ + # Return the channel from cache. + return self._grpc_channel + + @property + def operations_client(self) -> operations_v1.OperationsAsyncClient: + """Create the client designed to process long-running operations. + + This property caches on the instance; repeated calls return the same + client. + """ + # Quick check: Only create a new client if we do not already have one. + if self._operations_client is None: + self._operations_client = operations_v1.OperationsAsyncClient( + self.grpc_channel + ) + + # Return the client from cache. + return self._operations_client + + @property + def list_instances(self) -> Callable[ + [cloud_memcache.ListInstancesRequest], + Awaitable[cloud_memcache.ListInstancesResponse]]: + r"""Return a callable for the list instances method over gRPC. + + Lists Instances in a given location. + + Returns: + Callable[[~.ListInstancesRequest], + Awaitable[~.ListInstancesResponse]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'list_instances' not in self._stubs: + self._stubs['list_instances'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ListInstances', + request_serializer=cloud_memcache.ListInstancesRequest.serialize, + response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, + ) + return self._stubs['list_instances'] + + @property + def get_instance(self) -> Callable[ + [cloud_memcache.GetInstanceRequest], + Awaitable[cloud_memcache.Instance]]: + r"""Return a callable for the get instance method over gRPC. + + Gets details of a single Instance. + + Returns: + Callable[[~.GetInstanceRequest], + Awaitable[~.Instance]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'get_instance' not in self._stubs: + self._stubs['get_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/GetInstance', + request_serializer=cloud_memcache.GetInstanceRequest.serialize, + response_deserializer=cloud_memcache.Instance.deserialize, + ) + return self._stubs['get_instance'] + + @property + def create_instance(self) -> Callable[ + [cloud_memcache.CreateInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the create instance method over gRPC. + + Creates a new Instance in a given location. + + Returns: + Callable[[~.CreateInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'create_instance' not in self._stubs: + self._stubs['create_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/CreateInstance', + request_serializer=cloud_memcache.CreateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['create_instance'] + + @property + def update_instance(self) -> Callable[ + [cloud_memcache.UpdateInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the update instance method over gRPC. + + Updates an existing Instance in a given project and + location. + + Returns: + Callable[[~.UpdateInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_instance' not in self._stubs: + self._stubs['update_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateInstance', + request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_instance'] + + @property + def update_parameters(self) -> Callable[ + [cloud_memcache.UpdateParametersRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the update parameters method over gRPC. + + Updates the defined Memcached parameters for an existing + instance. This method only stages the parameters, it must be + followed by ``ApplyParameters`` to apply the parameters to nodes + of the Memcached instance. + + Returns: + Callable[[~.UpdateParametersRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'update_parameters' not in self._stubs: + self._stubs['update_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateParameters', + request_serializer=cloud_memcache.UpdateParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['update_parameters'] + + @property + def delete_instance(self) -> Callable[ + [cloud_memcache.DeleteInstanceRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the delete instance method over gRPC. + + Deletes a single Instance. + + Returns: + Callable[[~.DeleteInstanceRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'delete_instance' not in self._stubs: + self._stubs['delete_instance'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/DeleteInstance', + request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['delete_instance'] + + @property + def apply_parameters(self) -> Callable[ + [cloud_memcache.ApplyParametersRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the apply parameters method over gRPC. + + ``ApplyParameters`` restarts the set of specified nodes in order + to update them to the current set of parameters for the + Memcached Instance. + + Returns: + Callable[[~.ApplyParametersRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_parameters' not in self._stubs: + self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ApplyParameters', + request_serializer=cloud_memcache.ApplyParametersRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_parameters'] + + @property + def apply_software_update(self) -> Callable[ + [cloud_memcache.ApplySoftwareUpdateRequest], + Awaitable[operations_pb2.Operation]]: + r"""Return a callable for the apply software update method over gRPC. + + Updates software on the selected nodes of the + Instance. + + Returns: + Callable[[~.ApplySoftwareUpdateRequest], + Awaitable[~.Operation]]: + A function that, when called, will call the underlying RPC + on the server. + """ + # Generate a "stub function" on-the-fly which will actually make + # the request. + # gRPC handles serialization and deserialization, so we just need + # to pass in the functions for each. + if 'apply_software_update' not in self._stubs: + self._stubs['apply_software_update'] = self.grpc_channel.unary_unary( + '/google.cloud.memcache.v1beta2.CloudMemcache/ApplySoftwareUpdate', + request_serializer=cloud_memcache.ApplySoftwareUpdateRequest.serialize, + response_deserializer=operations_pb2.Operation.FromString, + ) + return self._stubs['apply_software_update'] + + def close(self): + return self.grpc_channel.close() + + +__all__ = ( + 'CloudMemcacheGrpcAsyncIOTransport', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py new file mode 100644 index 0000000..c770908 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py @@ -0,0 +1,50 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +from .cloud_memcache import ( + ApplyParametersRequest, + ApplySoftwareUpdateRequest, + CreateInstanceRequest, + DeleteInstanceRequest, + GetInstanceRequest, + Instance, + ListInstancesRequest, + ListInstancesResponse, + LocationMetadata, + MemcacheParameters, + OperationMetadata, + UpdateInstanceRequest, + UpdateParametersRequest, + ZoneMetadata, + MemcacheVersion, +) + +__all__ = ( + 'ApplyParametersRequest', + 'ApplySoftwareUpdateRequest', + 'CreateInstanceRequest', + 'DeleteInstanceRequest', + 'GetInstanceRequest', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'LocationMetadata', + 'MemcacheParameters', + 'OperationMetadata', + 'UpdateInstanceRequest', + 'UpdateParametersRequest', + 'ZoneMetadata', + 'MemcacheVersion', +) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py new file mode 100644 index 0000000..f216a14 --- /dev/null +++ b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py @@ -0,0 +1,734 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import proto # type: ignore + +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore + + +__protobuf__ = proto.module( + package='google.cloud.memcache.v1beta2', + manifest={ + 'MemcacheVersion', + 'Instance', + 'ListInstancesRequest', + 'ListInstancesResponse', + 'GetInstanceRequest', + 'CreateInstanceRequest', + 'UpdateInstanceRequest', + 'DeleteInstanceRequest', + 'ApplyParametersRequest', + 'UpdateParametersRequest', + 'ApplySoftwareUpdateRequest', + 'MemcacheParameters', + 'OperationMetadata', + 'LocationMetadata', + 'ZoneMetadata', + }, +) + + +class MemcacheVersion(proto.Enum): + r"""Memcached versions supported by our service.""" + MEMCACHE_VERSION_UNSPECIFIED = 0 + MEMCACHE_1_5 = 1 + + +class Instance(proto.Message): + r"""A Memorystore for Memcached instance + + Attributes: + name (str): + Required. Unique name of the resource in this scope + including project and location using the form: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + + Note: Memcached instances are managed and addressed at the + regional level so ``location_id`` here refers to a Google + Cloud region; however, users may choose which zones + Memcached nodes should be provisioned in within an instance. + Refer to + [zones][google.cloud.memcache.v1beta2.Instance.zones] field + for more details. + display_name (str): + User provided name for the instance, which is + only used for display purposes. Cannot be more + than 80 characters. + labels (Mapping[str, str]): + Resource labels to represent user-provided + metadata. Refer to cloud documentation on labels + for more details. + https://cloud.google.com/compute/docs/labeling-resources + authorized_network (str): + The full name of the Google Compute Engine + `network `__ to which + the instance is connected. If left unspecified, the + ``default`` network will be used. + zones (Sequence[str]): + Zones in which Memcached nodes should be + provisioned. Memcached nodes will be equally + distributed across these zones. If not provided, + the service will by default create nodes in all + zones in the region for the instance. + node_count (int): + Required. Number of nodes in the Memcached + instance. + node_config (google.cloud.memcache_v1beta2.types.Instance.NodeConfig): + Required. Configuration for Memcached nodes. + memcache_version (google.cloud.memcache_v1beta2.types.MemcacheVersion): + The major version of Memcached software. If not provided, + latest supported version will be used. Currently the latest + supported major version is ``MEMCACHE_1_5``. The minor + version will be automatically determined by our system based + on the latest supported minor version. + parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): + Optional: User defined parameters to apply to + the memcached process on each node. + memcache_nodes (Sequence[google.cloud.memcache_v1beta2.types.Instance.Node]): + Output only. List of Memcached nodes. Refer to + [Node][google.cloud.memcache.v1beta2.Instance.Node] message + for more details. + create_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. The time the instance was + created. + update_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. The time the instance was + updated. + state (google.cloud.memcache_v1beta2.types.Instance.State): + Output only. The state of this Memcached + instance. + memcache_full_version (str): + Output only. The full version of memcached + server running on this instance. System + automatically determines the full memcached + version for an instance based on the input + MemcacheVersion. + The full version format will be + "memcached-1.5.16". + instance_messages (Sequence[google.cloud.memcache_v1beta2.types.Instance.InstanceMessage]): + List of messages that describe the current + state of the Memcached instance. + discovery_endpoint (str): + Output only. Endpoint for the Discovery API. + update_available (bool): + Output only. Returns true if there is an + update waiting to be applied + """ + class State(proto.Enum): + r"""Different states of a Memcached instance.""" + STATE_UNSPECIFIED = 0 + CREATING = 1 + READY = 2 + DELETING = 4 + PERFORMING_MAINTENANCE = 5 + + class NodeConfig(proto.Message): + r"""Configuration for a Memcached Node. + + Attributes: + cpu_count (int): + Required. Number of cpus per Memcached node. + memory_size_mb (int): + Required. Memory size in MiB for each + Memcached node. + """ + + cpu_count = proto.Field( + proto.INT32, + number=1, + ) + memory_size_mb = proto.Field( + proto.INT32, + number=2, + ) + + class Node(proto.Message): + r""" + + Attributes: + node_id (str): + Output only. Identifier of the Memcached + node. The node id does not include project or + location like the Memcached instance name. + zone (str): + Output only. Location (GCP Zone) for the + Memcached node. + state (google.cloud.memcache_v1beta2.types.Instance.Node.State): + Output only. Current state of the Memcached + node. + host (str): + Output only. Hostname or IP address of the + Memcached node used by the clients to connect to + the Memcached server on this node. + port (int): + Output only. The port number of the Memcached + server on this node. + parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): + User defined parameters currently applied to + the node. + update_available (bool): + Output only. Returns true if there is an + update waiting to be applied + """ + class State(proto.Enum): + r"""Different states of a Memcached node.""" + STATE_UNSPECIFIED = 0 + CREATING = 1 + READY = 2 + DELETING = 3 + UPDATING = 4 + + node_id = proto.Field( + proto.STRING, + number=1, + ) + zone = proto.Field( + proto.STRING, + number=2, + ) + state = proto.Field( + proto.ENUM, + number=3, + enum='Instance.Node.State', + ) + host = proto.Field( + proto.STRING, + number=4, + ) + port = proto.Field( + proto.INT32, + number=5, + ) + parameters = proto.Field( + proto.MESSAGE, + number=6, + message='MemcacheParameters', + ) + update_available = proto.Field( + proto.BOOL, + number=7, + ) + + class InstanceMessage(proto.Message): + r""" + + Attributes: + code (google.cloud.memcache_v1beta2.types.Instance.InstanceMessage.Code): + A code that correspond to one type of + user-facing message. + message (str): + Message on memcached instance which will be + exposed to users. + """ + class Code(proto.Enum): + r"""""" + CODE_UNSPECIFIED = 0 + ZONE_DISTRIBUTION_UNBALANCED = 1 + + code = proto.Field( + proto.ENUM, + number=1, + enum='Instance.InstanceMessage.Code', + ) + message = proto.Field( + proto.STRING, + number=2, + ) + + name = proto.Field( + proto.STRING, + number=1, + ) + display_name = proto.Field( + proto.STRING, + number=2, + ) + labels = proto.MapField( + proto.STRING, + proto.STRING, + number=3, + ) + authorized_network = proto.Field( + proto.STRING, + number=4, + ) + zones = proto.RepeatedField( + proto.STRING, + number=5, + ) + node_count = proto.Field( + proto.INT32, + number=6, + ) + node_config = proto.Field( + proto.MESSAGE, + number=7, + message=NodeConfig, + ) + memcache_version = proto.Field( + proto.ENUM, + number=9, + enum='MemcacheVersion', + ) + parameters = proto.Field( + proto.MESSAGE, + number=11, + message='MemcacheParameters', + ) + memcache_nodes = proto.RepeatedField( + proto.MESSAGE, + number=12, + message=Node, + ) + create_time = proto.Field( + proto.MESSAGE, + number=13, + message=timestamp_pb2.Timestamp, + ) + update_time = proto.Field( + proto.MESSAGE, + number=14, + message=timestamp_pb2.Timestamp, + ) + state = proto.Field( + proto.ENUM, + number=15, + enum=State, + ) + memcache_full_version = proto.Field( + proto.STRING, + number=18, + ) + instance_messages = proto.RepeatedField( + proto.MESSAGE, + number=19, + message=InstanceMessage, + ) + discovery_endpoint = proto.Field( + proto.STRING, + number=20, + ) + update_available = proto.Field( + proto.BOOL, + number=21, + ) + + +class ListInstancesRequest(proto.Message): + r"""Request for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + + Attributes: + parent (str): + Required. The resource name of the instance location using + the form: ``projects/{project_id}/locations/{location_id}`` + where ``location_id`` refers to a GCP region + page_size (int): + The maximum number of items to return. + + If not specified, a default value of 1000 will be used by + the service. Regardless of the ``page_size`` value, the + response may include a partial list and a caller should only + rely on response's + [``next_page_token``][google.cloud.memcache.v1beta2.ListInstancesResponse.next_page_token] + to determine if there are more instances left to be queried. + page_token (str): + The ``next_page_token`` value returned from a previous List + request, if any. + filter (str): + List filter. For example, exclude all Memcached instances + with name as my-instance by specifying + ``"name != my-instance"``. + order_by (str): + Sort results. Supported values are "name", + "name desc" or "" (unsorted). + """ + + parent = proto.Field( + proto.STRING, + number=1, + ) + page_size = proto.Field( + proto.INT32, + number=2, + ) + page_token = proto.Field( + proto.STRING, + number=3, + ) + filter = proto.Field( + proto.STRING, + number=4, + ) + order_by = proto.Field( + proto.STRING, + number=5, + ) + + +class ListInstancesResponse(proto.Message): + r"""Response for + [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. + + Attributes: + resources (Sequence[google.cloud.memcache_v1beta2.types.Instance]): + A list of Memcached instances in the project in the + specified location, or across all locations. + + If the ``location_id`` in the parent field of the request is + "-", all regions available to the project are queried, and + the results aggregated. + next_page_token (str): + Token to retrieve the next page of results, + or empty if there are no more results in the + list. + unreachable (Sequence[str]): + Locations that could not be reached. + """ + + @property + def raw_page(self): + return self + + resources = proto.RepeatedField( + proto.MESSAGE, + number=1, + message='Instance', + ) + next_page_token = proto.Field( + proto.STRING, + number=2, + ) + unreachable = proto.RepeatedField( + proto.STRING, + number=3, + ) + + +class GetInstanceRequest(proto.Message): + r"""Request for + [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. + + Attributes: + name (str): + Required. Memcached instance resource name in the format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + + +class CreateInstanceRequest(proto.Message): + r"""Request for + [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. + + Attributes: + parent (str): + Required. The resource name of the instance location using + the form: ``projects/{project_id}/locations/{location_id}`` + where ``location_id`` refers to a GCP region + instance_id (str): + Required. The logical name of the Memcached instance in the + user project with the following restrictions: + + - Must contain only lowercase letters, numbers, and + hyphens. + - Must start with a letter. + - Must be between 1-40 characters. + - Must end with a number or a letter. + - Must be unique within the user project / location. + + If any of the above are not met, the API raises an invalid + argument error. + resource (google.cloud.memcache_v1beta2.types.Instance): + Required. A Memcached [Instance] resource + """ + + parent = proto.Field( + proto.STRING, + number=1, + ) + instance_id = proto.Field( + proto.STRING, + number=2, + ) + resource = proto.Field( + proto.MESSAGE, + number=3, + message='Instance', + ) + + +class UpdateInstanceRequest(proto.Message): + r"""Request for + [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. + + Attributes: + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + + - ``displayName`` + resource (google.cloud.memcache_v1beta2.types.Instance): + Required. A Memcached [Instance] resource. Only fields + specified in update_mask are updated. + """ + + update_mask = proto.Field( + proto.MESSAGE, + number=1, + message=field_mask_pb2.FieldMask, + ) + resource = proto.Field( + proto.MESSAGE, + number=2, + message='Instance', + ) + + +class DeleteInstanceRequest(proto.Message): + r"""Request for + [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. + + Attributes: + name (str): + Required. Memcached instance resource name in the format: + ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` + where ``location_id`` refers to a GCP region + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + + +class ApplyParametersRequest(proto.Message): + r"""Request for + [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. + + Attributes: + name (str): + Required. Resource name of the Memcached + instance for which parameter group updates + should be applied. + node_ids (Sequence[str]): + Nodes to which the instance-level parameter + group is applied. + apply_all (bool): + Whether to apply instance-level parameter group to all + nodes. If set to true, users are restricted from specifying + individual nodes, and ``ApplyParameters`` updates all nodes + within the instance. + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + node_ids = proto.RepeatedField( + proto.STRING, + number=2, + ) + apply_all = proto.Field( + proto.BOOL, + number=3, + ) + + +class UpdateParametersRequest(proto.Message): + r"""Request for + [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. + + Attributes: + name (str): + Required. Resource name of the Memcached + instance for which the parameters should be + updated. + update_mask (google.protobuf.field_mask_pb2.FieldMask): + Required. Mask of fields to update. + parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): + The parameters to apply to the instance. + """ + + name = proto.Field( + proto.STRING, + number=1, + ) + update_mask = proto.Field( + proto.MESSAGE, + number=2, + message=field_mask_pb2.FieldMask, + ) + parameters = proto.Field( + proto.MESSAGE, + number=3, + message='MemcacheParameters', + ) + + +class ApplySoftwareUpdateRequest(proto.Message): + r"""Request for + [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. + + Attributes: + instance (str): + Required. Resource name of the Memcached + instance for which software update should be + applied. + node_ids (Sequence[str]): + Nodes to which we should apply the update to. + Note all the selected nodes are updated in + parallel. + apply_all (bool): + Whether to apply the update to all nodes. If + set to true, will explicitly restrict users from + specifying any nodes, and apply software update + to all nodes (where applicable) within the + instance. + """ + + instance = proto.Field( + proto.STRING, + number=1, + ) + node_ids = proto.RepeatedField( + proto.STRING, + number=2, + ) + apply_all = proto.Field( + proto.BOOL, + number=3, + ) + + +class MemcacheParameters(proto.Message): + r"""The unique ID associated with this set of parameters. Users + can use this id to determine if the parameters associated with + the instance differ from the parameters associated with the + nodes. A discrepancy between parameter ids can inform users that + they may need to take action to apply parameters on nodes. + + Attributes: + id (str): + Output only. + params (Mapping[str, str]): + User defined set of parameters to use in the + memcached process. + """ + + id = proto.Field( + proto.STRING, + number=1, + ) + params = proto.MapField( + proto.STRING, + proto.STRING, + number=3, + ) + + +class OperationMetadata(proto.Message): + r"""Represents the metadata of a long-running operation. + + Attributes: + create_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. Time when the operation was + created. + end_time (google.protobuf.timestamp_pb2.Timestamp): + Output only. Time when the operation finished + running. + target (str): + Output only. Server-defined resource path for + the target of the operation. + verb (str): + Output only. Name of the verb executed by the + operation. + status_detail (str): + Output only. Human-readable status of the + operation, if any. + cancel_requested (bool): + Output only. Identifies whether the user has requested + cancellation of the operation. Operations that have + successfully been cancelled have [Operation.error][] value + with a [google.rpc.Status.code][google.rpc.Status.code] of + 1, corresponding to ``Code.CANCELLED``. + api_version (str): + Output only. API version used to start the + operation. + """ + + create_time = proto.Field( + proto.MESSAGE, + number=1, + message=timestamp_pb2.Timestamp, + ) + end_time = proto.Field( + proto.MESSAGE, + number=2, + message=timestamp_pb2.Timestamp, + ) + target = proto.Field( + proto.STRING, + number=3, + ) + verb = proto.Field( + proto.STRING, + number=4, + ) + status_detail = proto.Field( + proto.STRING, + number=5, + ) + cancel_requested = proto.Field( + proto.BOOL, + number=6, + ) + api_version = proto.Field( + proto.STRING, + number=7, + ) + + +class LocationMetadata(proto.Message): + r"""Metadata for the given + [google.cloud.location.Location][google.cloud.location.Location]. + + Attributes: + available_zones (Mapping[str, google.cloud.memcache_v1beta2.types.ZoneMetadata]): + Output only. The set of available zones in the location. The + map is keyed by the lowercase ID of each zone, as defined by + GCE. These keys can be specified in the ``zones`` field when + creating a Memcached instance. + """ + + available_zones = proto.MapField( + proto.STRING, + proto.MESSAGE, + number=1, + message='ZoneMetadata', + ) + + +class ZoneMetadata(proto.Message): + r""" + """ + + +__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/v1beta2/mypy.ini b/owl-bot-staging/v1beta2/mypy.ini new file mode 100644 index 0000000..4505b48 --- /dev/null +++ b/owl-bot-staging/v1beta2/mypy.ini @@ -0,0 +1,3 @@ +[mypy] +python_version = 3.6 +namespace_packages = True diff --git a/owl-bot-staging/v1beta2/noxfile.py b/owl-bot-staging/v1beta2/noxfile.py new file mode 100644 index 0000000..29c0f16 --- /dev/null +++ b/owl-bot-staging/v1beta2/noxfile.py @@ -0,0 +1,180 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +import pathlib +import shutil +import subprocess +import sys + + +import nox # type: ignore + +ALL_PYTHON = [ + "3.6", + "3.7", + "3.8", + "3.9", + "3.10", +] + +CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() + +LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" +PACKAGE_NAME = subprocess.check_output([sys.executable, "setup.py", "--name"], encoding="utf-8") + +BLACK_VERSION = "black==19.10b0" +BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] +DEFAULT_PYTHON_VERSION = "3.9" + +nox.sessions = [ + "unit", + "cover", + "mypy", + "check_lower_bounds" + # exclude update_lower_bounds from default + "docs", + "blacken", + "lint", + "lint_setup_py", +] + +@nox.session(python=ALL_PYTHON) +def unit(session): + """Run the unit test suite.""" + + session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') + session.install('-e', '.') + + session.run( + 'py.test', + '--quiet', + '--cov=google/cloud/memcache_v1beta2/', + '--cov=tests/', + '--cov-config=.coveragerc', + '--cov-report=term', + '--cov-report=html', + os.path.join('tests', 'unit', ''.join(session.posargs)) + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def cover(session): + """Run the final coverage report. + This outputs the coverage report aggregating coverage from the unit + test runs (not system test runs), and then erases coverage data. + """ + session.install("coverage", "pytest-cov") + session.run("coverage", "report", "--show-missing", "--fail-under=100") + + session.run("coverage", "erase") + + +@nox.session(python=ALL_PYTHON) +def mypy(session): + """Run the type checker.""" + session.install('mypy', 'types-pkg_resources') + session.install('.') + session.run( + 'mypy', + '--explicit-package-bases', + 'google', + ) + + +@nox.session +def update_lower_bounds(session): + """Update lower bounds in constraints.txt to match setup.py""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'update', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + + +@nox.session +def check_lower_bounds(session): + """Check lower bounds in setup.py are reflected in constraints file""" + session.install('google-cloud-testutils') + session.install('.') + + session.run( + 'lower-bound-checker', + 'check', + '--package-name', + PACKAGE_NAME, + '--constraints-file', + str(LOWER_BOUND_CONSTRAINTS_FILE), + ) + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def docs(session): + """Build the docs for this library.""" + + session.install("-e", ".") + session.install("sphinx==4.0.1", "alabaster", "recommonmark") + + shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) + session.run( + "sphinx-build", + "-W", # warnings as errors + "-T", # show full traceback on exception + "-N", # no colors + "-b", + "html", + "-d", + os.path.join("docs", "_build", "doctrees", ""), + os.path.join("docs", ""), + os.path.join("docs", "_build", "html", ""), + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint(session): + """Run linters. + + Returns a failure if the linters find linting errors or sufficiently + serious code quality issues. + """ + session.install("flake8", BLACK_VERSION) + session.run( + "black", + "--check", + *BLACK_PATHS, + ) + session.run("flake8", "google", "tests", "samples") + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def blacken(session): + """Run black. Format code to uniform standard.""" + session.install(BLACK_VERSION) + session.run( + "black", + *BLACK_PATHS, + ) + + +@nox.session(python=DEFAULT_PYTHON_VERSION) +def lint_setup_py(session): + """Verify that setup.py is valid (including RST check).""" + session.install("docutils", "pygments") + session.run("python", "setup.py", "check", "--restructuredtext", "--strict") diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py new file mode 100644 index 0000000..eef58f6 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplyParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ApplyParameters_async] +from google.cloud import memcache_v1beta2 + + +async def sample_apply_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ApplyParameters_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py new file mode 100644 index 0000000..159a37c --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplyParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ApplyParameters_sync] +from google.cloud import memcache_v1beta2 + + +def sample_apply_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplyParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.apply_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ApplyParameters_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py new file mode 100644 index 0000000..7cdcda9 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplySoftwareUpdate +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_async] +from google.cloud import memcache_v1beta2 + + +async def sample_apply_software_update(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplySoftwareUpdateRequest( + instance="instance_value", + ) + + # Make the request + operation = client.apply_software_update(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py new file mode 100644 index 0000000..f3d7fef --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ApplySoftwareUpdate +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_sync] +from google.cloud import memcache_v1beta2 + + +def sample_apply_software_update(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ApplySoftwareUpdateRequest( + instance="instance_value", + ) + + # Make the request + operation = client.apply_software_update(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py new file mode 100644 index 0000000..aa17117 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_CreateInstance_async] +from google.cloud import memcache_v1beta2 + + +async def sample_create_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + resource=resource, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_CreateInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py new file mode 100644 index 0000000..f1ec09e --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py @@ -0,0 +1,57 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for CreateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_CreateInstance_sync] +from google.cloud import memcache_v1beta2 + + +def sample_create_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.CreateInstanceRequest( + parent="parent_value", + instance_id="instance_id_value", + resource=resource, + ) + + # Make the request + operation = client.create_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_CreateInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py new file mode 100644 index 0000000..f7a715b --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_DeleteInstance_async] +from google.cloud import memcache_v1beta2 + + +async def sample_delete_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_DeleteInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py new file mode 100644 index 0000000..497447a --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for DeleteInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_DeleteInstance_sync] +from google.cloud import memcache_v1beta2 + + +def sample_delete_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.DeleteInstanceRequest( + name="name_value", + ) + + # Make the request + operation = client.delete_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_DeleteInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py new file mode 100644 index 0000000..a17c364 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py @@ -0,0 +1,45 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_GetInstance_async] +from google.cloud import memcache_v1beta2 + + +async def sample_get_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = await client.get_instance(request=request) + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_GetInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py new file mode 100644 index 0000000..aa391b1 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py @@ -0,0 +1,45 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for GetInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_GetInstance_sync] +from google.cloud import memcache_v1beta2 + + +def sample_get_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.GetInstanceRequest( + name="name_value", + ) + + # Make the request + response = client.get_instance(request=request) + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_GetInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py new file mode 100644 index 0000000..860b2f0 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py @@ -0,0 +1,46 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListInstances +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ListInstances_async] +from google.cloud import memcache_v1beta2 + + +async def sample_list_instances(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + async for response in page_result: + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ListInstances_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py new file mode 100644 index 0000000..a4d39a4 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py @@ -0,0 +1,46 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for ListInstances +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_ListInstances_sync] +from google.cloud import memcache_v1beta2 + + +def sample_list_instances(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.ListInstancesRequest( + parent="parent_value", + ) + + # Make the request + page_result = client.list_instances(request=request) + + # Handle the response + for response in page_result: + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_ListInstances_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py new file mode 100644 index 0000000..a7d90c8 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py @@ -0,0 +1,55 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_UpdateInstance_async] +from google.cloud import memcache_v1beta2 + + +async def sample_update_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.UpdateInstanceRequest( + resource=resource, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_UpdateInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py new file mode 100644 index 0000000..e3e4e0c --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py @@ -0,0 +1,55 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateInstance +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_UpdateInstance_sync] +from google.cloud import memcache_v1beta2 + + +def sample_update_instance(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + resource = memcache_v1beta2.Instance() + resource.name = "name_value" + resource.node_count = 1070 + resource.node_config.cpu_count = 976 + resource.node_config.memory_size_mb = 1505 + + request = memcache_v1beta2.UpdateInstanceRequest( + resource=resource, + ) + + # Make the request + operation = client.update_instance(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_UpdateInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py new file mode 100644 index 0000000..6ddba29 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_UpdateParameters_async] +from google.cloud import memcache_v1beta2 + + +async def sample_update_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheAsyncClient() + + # Initialize request argument(s) + request = memcache_v1beta2.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = await operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_UpdateParameters_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py new file mode 100644 index 0000000..bea149a --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py @@ -0,0 +1,49 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Generated code. DO NOT EDIT! +# +# Snippet for UpdateParameters +# NOTE: This snippet has been automatically generated for illustrative purposes only. +# It may require modifications to work in your environment. + +# To install the latest published package dependency, execute the following: +# python3 -m pip install google-cloud-memcache + + +# [START memcache_v1beta2_generated_CloudMemcache_UpdateParameters_sync] +from google.cloud import memcache_v1beta2 + + +def sample_update_parameters(): + # Create a client + client = memcache_v1beta2.CloudMemcacheClient() + + # Initialize request argument(s) + request = memcache_v1beta2.UpdateParametersRequest( + name="name_value", + ) + + # Make the request + operation = client.update_parameters(request=request) + + print("Waiting for operation to complete...") + + response = operation.result() + + # Handle the response + print(response) + +# [END memcache_v1beta2_generated_CloudMemcache_UpdateParameters_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json b/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json new file mode 100644 index 0000000..d2dd1a7 --- /dev/null +++ b/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json @@ -0,0 +1,1374 @@ +{ + "clientLibrary": { + "apis": [ + { + "id": "google.cloud.memcache.v1beta2", + "version": "v1beta2" + } + ], + "language": "PYTHON", + "name": "google-cloud-memcache" + }, + "snippets": [ + { + "canonical": true, + "clientMethod": { + "async": true, + "client": { + "fullName": "google.cloud.memcache_v1beta2.CloudMemcacheAsyncClient", + "shortName": "CloudMemcacheAsyncClient" + }, + "fullName": "google.cloud.memcache_v1beta2.CloudMemcacheAsyncClient.apply_parameters", + "method": { + "fullName": "google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters", + "service": { + "fullName": "google.cloud.memcache.v1beta2.CloudMemcache", + 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Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import argparse +import os +import libcst as cst +import pathlib +import sys +from typing import (Any, Callable, Dict, List, Sequence, Tuple) + + +def partition( + predicate: Callable[[Any], bool], + iterator: Sequence[Any] +) -> Tuple[List[Any], List[Any]]: + """A stable, out-of-place partition.""" + results = ([], []) + + for i in iterator: + results[int(predicate(i))].append(i) + + # Returns trueList, falseList + return results[1], results[0] + + +class memcacheCallTransformer(cst.CSTTransformer): + CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') + METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { + 'apply_parameters': ('name', 'node_ids', 'apply_all', ), + 'apply_software_update': ('instance', 'node_ids', 'apply_all', ), + 'create_instance': ('parent', 'instance_id', 'resource', ), + 'delete_instance': ('name', ), + 'get_instance': ('name', ), + 'list_instances': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ), + 'update_instance': ('update_mask', 'resource', ), + 'update_parameters': ('name', 'update_mask', 'parameters', ), + } + + def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: + try: + key = original.func.attr.value + kword_params = self.METHOD_TO_PARAMS[key] + except (AttributeError, KeyError): + # Either not a method from the API or too convoluted to be sure. + return updated + + # If the existing code is valid, keyword args come after positional args. + # Therefore, all positional args must map to the first parameters. + args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) + if any(k.keyword.value == "request" for k in kwargs): + # We've already fixed this file, don't fix it again. + return updated + + kwargs, ctrl_kwargs = partition( + lambda a: a.keyword.value not in self.CTRL_PARAMS, + kwargs + ) + + args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] + ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) + for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) + + request_arg = cst.Arg( + value=cst.Dict([ + cst.DictElement( + cst.SimpleString("'{}'".format(name)), +cst.Element(value=arg.value) + ) + # Note: the args + kwargs looks silly, but keep in mind that + # the control parameters had to be stripped out, and that + # those could have been passed positionally or by keyword. + for name, arg in zip(kword_params, args + kwargs)]), + keyword=cst.Name("request") + ) + + return updated.with_changes( + args=[request_arg] + ctrl_kwargs + ) + + +def fix_files( + in_dir: pathlib.Path, + out_dir: pathlib.Path, + *, + transformer=memcacheCallTransformer(), +): + """Duplicate the input dir to the output dir, fixing file method calls. + + Preconditions: + * in_dir is a real directory + * out_dir is a real, empty directory + """ + pyfile_gen = ( + pathlib.Path(os.path.join(root, f)) + for root, _, files in os.walk(in_dir) + for f in files if os.path.splitext(f)[1] == ".py" + ) + + for fpath in pyfile_gen: + with open(fpath, 'r') as f: + src = f.read() + + # Parse the code and insert method call fixes. + tree = cst.parse_module(src) + updated = tree.visit(transformer) + + # Create the path and directory structure for the new file. + updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) + updated_path.parent.mkdir(parents=True, exist_ok=True) + + # Generate the updated source file at the corresponding path. + with open(updated_path, 'w') as f: + f.write(updated.code) + + +if __name__ == '__main__': + parser = argparse.ArgumentParser( + description="""Fix up source that uses the memcache client library. + +The existing sources are NOT overwritten but are copied to output_dir with changes made. + +Note: This tool operates at a best-effort level at converting positional + parameters in client method calls to keyword based parameters. + Cases where it WILL FAIL include + A) * or ** expansion in a method call. + B) Calls via function or method alias (includes free function calls) + C) Indirect or dispatched calls (e.g. the method is looked up dynamically) + + These all constitute false negatives. The tool will also detect false + positives when an API method shares a name with another method. +""") + parser.add_argument( + '-d', + '--input-directory', + required=True, + dest='input_dir', + help='the input directory to walk for python files to fix up', + ) + parser.add_argument( + '-o', + '--output-directory', + required=True, + dest='output_dir', + help='the directory to output files fixed via un-flattening', + ) + args = parser.parse_args() + input_dir = pathlib.Path(args.input_dir) + output_dir = pathlib.Path(args.output_dir) + if not input_dir.is_dir(): + print( + f"input directory '{input_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if not output_dir.is_dir(): + print( + f"output directory '{output_dir}' does not exist or is not a directory", + file=sys.stderr, + ) + sys.exit(-1) + + if os.listdir(output_dir): + print( + f"output directory '{output_dir}' is not empty", + file=sys.stderr, + ) + sys.exit(-1) + + fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/v1beta2/setup.py b/owl-bot-staging/v1beta2/setup.py new file mode 100644 index 0000000..a22e368 --- /dev/null +++ b/owl-bot-staging/v1beta2/setup.py @@ -0,0 +1,59 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import io +import os +import setuptools # type: ignore + +version = '0.1.0' + +package_root = os.path.abspath(os.path.dirname(__file__)) + +readme_filename = os.path.join(package_root, 'README.rst') +with io.open(readme_filename, encoding='utf-8') as readme_file: + readme = readme_file.read() + +setuptools.setup( + name='google-cloud-memcache', + author="Google LLC", + author_email="googleapis-packages@google.com", + url="https://github.com/googleapis/python-google-cloud-memcache", + version=version, + long_description=readme, + packages=setuptools.PEP420PackageFinder.find(), + namespace_packages=('google', 'google.cloud'), + platforms='Posix; MacOS X; Windows', + include_package_data=True, + install_requires=( + 'google-api-core[grpc] >= 2.8.0, < 3.0.0dev', + 'libcst >= 0.2.5', + 'googleapis-common-protos >= 1.55.0, <2.0.0dev', + 'proto-plus >= 1.19.7', + ), + python_requires='>=3.6', + classifiers=[ + 'Development Status :: 3 - Alpha', + 'Intended Audience :: Developers', + 'Operating System :: OS Independent', + 'Programming Language :: Python :: 3.6', + 'Programming Language :: Python :: 3.7', + 'Programming Language :: Python :: 3.8', + 'Programming Language :: Python :: 3.9', + 'Programming Language :: Python :: 3.10', + 'Topic :: Internet', + 'Topic :: Software Development :: Libraries :: Python Modules', + ], + zip_safe=False, +) diff --git a/owl-bot-staging/v1beta2/tests/__init__.py b/owl-bot-staging/v1beta2/tests/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1beta2/tests/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1beta2/tests/unit/__init__.py b/owl-bot-staging/v1beta2/tests/unit/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1beta2/tests/unit/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py b/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py new file mode 100644 index 0000000..231bc12 --- /dev/null +++ b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py @@ -0,0 +1,16 @@ + +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py new file mode 100644 index 0000000..22d6e3f --- /dev/null +++ b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py @@ -0,0 +1,3374 @@ +# -*- coding: utf-8 -*- +# Copyright 2022 Google LLC +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +import os +# try/except added for compatibility with python < 3.8 +try: + from unittest import mock + from unittest.mock import AsyncMock +except ImportError: + import mock + +import grpc +from grpc.experimental import aio +import math +import pytest +from proto.marshal.rules.dates import DurationRule, TimestampRule + + +from google.api_core import client_options +from google.api_core import exceptions as core_exceptions +from google.api_core import future +from google.api_core import gapic_v1 +from google.api_core import grpc_helpers +from google.api_core import grpc_helpers_async +from google.api_core import operation +from google.api_core import operation_async # type: ignore +from google.api_core import operations_v1 +from google.api_core import path_template +from google.auth import credentials as ga_credentials +from google.auth.exceptions import MutualTLSChannelError +from google.cloud.memcache_v1beta2.services.cloud_memcache import CloudMemcacheAsyncClient +from google.cloud.memcache_v1beta2.services.cloud_memcache import CloudMemcacheClient +from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers +from google.cloud.memcache_v1beta2.services.cloud_memcache import transports +from google.cloud.memcache_v1beta2.types import cloud_memcache +from google.longrunning import operations_pb2 +from google.oauth2 import service_account +from google.protobuf import field_mask_pb2 # type: ignore +from google.protobuf import timestamp_pb2 # type: ignore +import google.auth + + +def client_cert_source_callback(): + return b"cert bytes", b"key bytes" + + +# If default endpoint is localhost, then default mtls endpoint will be the same. +# This method modifies the default endpoint so the client can produce a different +# mtls endpoint for endpoint testing purposes. +def modify_default_endpoint(client): + return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT + + +def test__get_default_mtls_endpoint(): + api_endpoint = "example.googleapis.com" + api_mtls_endpoint = "example.mtls.googleapis.com" + sandbox_endpoint = "example.sandbox.googleapis.com" + sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" + non_googleapi = "api.example.com" + + assert CloudMemcacheClient._get_default_mtls_endpoint(None) is None + assert CloudMemcacheClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint + assert CloudMemcacheClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi + + +@pytest.mark.parametrize("client_class,transport_name", [ + (CloudMemcacheClient, "grpc"), + (CloudMemcacheAsyncClient, "grpc_asyncio"), +]) +def test_cloud_memcache_client_from_service_account_info(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: + factory.return_value = creds + info = {"valid": True} + client = client_class.from_service_account_info(info, transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + + +@pytest.mark.parametrize("transport_class,transport_name", [ + (transports.CloudMemcacheGrpcTransport, "grpc"), + (transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +def test_cloud_memcache_client_service_account_always_use_jwt(transport_class, transport_name): + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=True) + use_jwt.assert_called_once_with(True) + + with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: + creds = service_account.Credentials(None, None, None) + transport = transport_class(credentials=creds, always_use_jwt_access=False) + use_jwt.assert_not_called() + + +@pytest.mark.parametrize("client_class,transport_name", [ + (CloudMemcacheClient, "grpc"), + (CloudMemcacheAsyncClient, "grpc_asyncio"), +]) +def test_cloud_memcache_client_from_service_account_file(client_class, transport_name): + creds = ga_credentials.AnonymousCredentials() + with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: + factory.return_value = creds + client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) + assert client.transport._credentials == creds + assert isinstance(client, client_class) + + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + + +def test_cloud_memcache_client_get_transport_class(): + transport = CloudMemcacheClient.get_transport_class() + available_transports = [ + transports.CloudMemcacheGrpcTransport, + ] + assert transport in available_transports + + transport = CloudMemcacheClient.get_transport_class("grpc") + assert transport == transports.CloudMemcacheGrpcTransport + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +def test_cloud_memcache_client_client_options(client_class, transport_class, transport_name): + # Check that if channel is provided we won't create a new one. + with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials() + ) + client = client_class(transport=transport) + gtc.assert_not_called() + + # Check that if channel is provided via str we will create a new one. + with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: + client = client_class(transport=transport_name) + gtc.assert_called() + + # Check the case api_endpoint is provided. + options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name, client_options=options) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is + # "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_MTLS_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has + # unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): + with pytest.raises(MutualTLSChannelError): + client = client_class(transport=transport_name) + + # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): + with pytest.raises(ValueError): + client = client_class(transport=transport_name) + + # Check the case quota_project_id is provided + options = client_options.ClientOptions(quota_project_id="octopus") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id="octopus", + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + # Check the case api_endpoint is provided + options = client_options.ClientOptions(api_audience="https://language.googleapis.com") + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience="https://language.googleapis.com" + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "true"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "true"), + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "false"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "false"), +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) +def test_cloud_memcache_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): + # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default + # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. + + # Check the case client_cert_source is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + + if use_client_cert_env == "false": + expected_client_cert_source = None + expected_host = client.DEFAULT_ENDPOINT + else: + expected_client_cert_source = client_cert_source_callback + expected_host = client.DEFAULT_MTLS_ENDPOINT + + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case ADC client cert is provided. Whether client cert is used depends on + # GOOGLE_API_USE_CLIENT_CERTIFICATE value. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): + if use_client_cert_env == "false": + expected_host = client.DEFAULT_ENDPOINT + expected_client_cert_source = None + else: + expected_host = client.DEFAULT_MTLS_ENDPOINT + expected_client_cert_source = client_cert_source_callback + + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=expected_host, + scopes=None, + client_cert_source_for_mtls=expected_client_cert_source, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # Check the case client_cert_source and ADC client cert are not provided. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): + with mock.patch.object(transport_class, '__init__') as patched: + with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): + patched.return_value = None + client = client_class(transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class", [ + CloudMemcacheClient, CloudMemcacheAsyncClient +]) +@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) +@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) +def test_cloud_memcache_client_get_mtls_endpoint_and_cert_source(client_class): + mock_client_cert_source = mock.Mock() + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source == mock_client_cert_source + + # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): + mock_client_cert_source = mock.Mock() + mock_api_endpoint = "foo" + options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) + assert api_endpoint == mock_api_endpoint + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_ENDPOINT + assert cert_source is None + + # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. + with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): + with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): + with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): + api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() + assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT + assert cert_source == mock_client_cert_source + + +@pytest.mark.parametrize("client_class,transport_class,transport_name", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), +]) +def test_cloud_memcache_client_client_options_scopes(client_class, transport_class, transport_name): + # Check the case scopes are provided. + options = client_options.ClientOptions( + scopes=["1", "2"], + ) + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=["1", "2"], + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_cloud_memcache_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + +def test_cloud_memcache_client_client_options_from_dict(): + with mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__') as grpc_transport: + grpc_transport.return_value = None + client = CloudMemcacheClient( + client_options={'api_endpoint': 'squid.clam.whelk'} + ) + grpc_transport.assert_called_once_with( + credentials=None, + credentials_file=None, + host="squid.clam.whelk", + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + +@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), +]) +def test_cloud_memcache_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): + # Check the case credentials file is provided. + options = client_options.ClientOptions( + credentials_file="credentials.json" + ) + + with mock.patch.object(transport_class, '__init__') as patched: + patched.return_value = None + client = client_class(client_options=options, transport=transport_name) + patched.assert_called_once_with( + credentials=None, + credentials_file="credentials.json", + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) + + # test that the credentials from file are saved and used as the credentials. + with mock.patch.object( + google.auth, "load_credentials_from_file", autospec=True + ) as load_creds, mock.patch.object( + google.auth, "default", autospec=True + ) as adc, mock.patch.object( + grpc_helpers, "create_channel" + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + file_creds = ga_credentials.AnonymousCredentials() + load_creds.return_value = (file_creds, None) + adc.return_value = (creds, None) + client = client_class(client_options=options, transport=transport_name) + create_channel.assert_called_with( + "memcache.googleapis.com:443", + credentials=file_creds, + credentials_file=None, + quota_project_id=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=None, + default_host="memcache.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.ListInstancesRequest, + dict, +]) +def test_list_instances(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse( + next_page_token='next_page_token_value', + unreachable=['unreachable_value'], + ) + response = client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListInstancesPager) + assert response.next_page_token == 'next_page_token_value' + assert response.unreachable == ['unreachable_value'] + + +def test_list_instances_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + client.list_instances() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + +@pytest.mark.asyncio +async def test_list_instances_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ListInstancesRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse( + next_page_token='next_page_token_value', + unreachable=['unreachable_value'], + )) + response = await client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ListInstancesRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, pagers.ListInstancesAsyncPager) + assert response.next_page_token == 'next_page_token_value' + assert response.unreachable == ['unreachable_value'] + + +@pytest.mark.asyncio +async def test_list_instances_async_from_dict(): + await test_list_instances_async(request_type=dict) + + +def test_list_instances_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ListInstancesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + call.return_value = cloud_memcache.ListInstancesResponse() + client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_list_instances_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ListInstancesRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) + await client.list_instances(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_list_instances_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.list_instances( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + + +def test_list_instances_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.list_instances( + cloud_memcache.ListInstancesRequest(), + parent='parent_value', + ) + +@pytest.mark.asyncio +async def test_list_instances_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.ListInstancesResponse() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.list_instances( + parent='parent_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_list_instances_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.list_instances( + cloud_memcache.ListInstancesRequest(), + parent='parent_value', + ) + + +def test_list_instances_pager(transport_name: str = "grpc"): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials, + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + resources=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + + metadata = () + metadata = tuple(metadata) + ( + gapic_v1.routing_header.to_grpc_metadata(( + ('parent', ''), + )), + ) + pager = client.list_instances(request={}) + + assert pager._metadata == metadata + + results = list(pager) + assert len(results) == 6 + assert all(isinstance(i, cloud_memcache.Instance) + for i in results) +def test_list_instances_pages(transport_name: str = "grpc"): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials, + transport=transport_name, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__') as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + resources=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + pages = list(client.list_instances(request={}).pages) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.asyncio +async def test_list_instances_async_pager(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + resources=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + async_pager = await client.list_instances(request={},) + assert async_pager.next_page_token == 'abc' + responses = [] + async for response in async_pager: # pragma: no branch + responses.append(response) + + assert len(responses) == 6 + assert all(isinstance(i, cloud_memcache.Instance) + for i in responses) + + +@pytest.mark.asyncio +async def test_list_instances_async_pages(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials, + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.list_instances), + '__call__', new_callable=mock.AsyncMock) as call: + # Set the response to a series of pages. + call.side_effect = ( + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + next_page_token='abc', + ), + cloud_memcache.ListInstancesResponse( + resources=[], + next_page_token='def', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + ], + next_page_token='ghi', + ), + cloud_memcache.ListInstancesResponse( + resources=[ + cloud_memcache.Instance(), + cloud_memcache.Instance(), + ], + ), + RuntimeError, + ) + pages = [] + async for page_ in (await client.list_instances(request={})).pages: # pragma: no branch + pages.append(page_) + for page_, token in zip(pages, ['abc','def','ghi', '']): + assert page_.raw_page.next_page_token == token + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.GetInstanceRequest, + dict, +]) +def test_get_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance( + name='name_value', + display_name='display_name_value', + authorized_network='authorized_network_value', + zones=['zones_value'], + node_count=1070, + memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, + state=cloud_memcache.Instance.State.CREATING, + memcache_full_version='memcache_full_version_value', + discovery_endpoint='discovery_endpoint_value', + update_available=True, + ) + response = client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, cloud_memcache.Instance) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.authorized_network == 'authorized_network_value' + assert response.zones == ['zones_value'] + assert response.node_count == 1070 + assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 + assert response.state == cloud_memcache.Instance.State.CREATING + assert response.memcache_full_version == 'memcache_full_version_value' + assert response.discovery_endpoint == 'discovery_endpoint_value' + assert response.update_available is True + + +def test_get_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + client.get_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + +@pytest.mark.asyncio +async def test_get_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.GetInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance( + name='name_value', + display_name='display_name_value', + authorized_network='authorized_network_value', + zones=['zones_value'], + node_count=1070, + memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, + state=cloud_memcache.Instance.State.CREATING, + memcache_full_version='memcache_full_version_value', + discovery_endpoint='discovery_endpoint_value', + update_available=True, + )) + response = await client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.GetInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, cloud_memcache.Instance) + assert response.name == 'name_value' + assert response.display_name == 'display_name_value' + assert response.authorized_network == 'authorized_network_value' + assert response.zones == ['zones_value'] + assert response.node_count == 1070 + assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 + assert response.state == cloud_memcache.Instance.State.CREATING + assert response.memcache_full_version == 'memcache_full_version_value' + assert response.discovery_endpoint == 'discovery_endpoint_value' + assert response.update_available is True + + +@pytest.mark.asyncio +async def test_get_instance_async_from_dict(): + await test_get_instance_async(request_type=dict) + + +def test_get_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.GetInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + call.return_value = cloud_memcache.Instance() + client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_get_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.GetInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) + await client.get_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_get_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance() + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.get_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_get_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.get_instance( + cloud_memcache.GetInstanceRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_get_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.get_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = cloud_memcache.Instance() + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.get_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_get_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.get_instance( + cloud_memcache.GetInstanceRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.CreateInstanceRequest, + dict, +]) +def test_create_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_create_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + client.create_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + +@pytest.mark.asyncio +async def test_create_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.CreateInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.CreateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_create_instance_async_from_dict(): + await test_create_instance_async(request_type=dict) + + +def test_create_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.CreateInstanceRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_create_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.CreateInstanceRequest() + + request.parent = 'parent_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.create_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'parent=parent_value', + ) in kw['metadata'] + + +def test_create_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.create_instance( + parent='parent_value', + instance_id='instance_id_value', + resource=cloud_memcache.Instance(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].instance_id + mock_val = 'instance_id_value' + assert arg == mock_val + arg = args[0].resource + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + + +def test_create_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.create_instance( + cloud_memcache.CreateInstanceRequest(), + parent='parent_value', + instance_id='instance_id_value', + resource=cloud_memcache.Instance(name='name_value'), + ) + +@pytest.mark.asyncio +async def test_create_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.create_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.create_instance( + parent='parent_value', + instance_id='instance_id_value', + resource=cloud_memcache.Instance(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].parent + mock_val = 'parent_value' + assert arg == mock_val + arg = args[0].instance_id + mock_val = 'instance_id_value' + assert arg == mock_val + arg = args[0].resource + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_create_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.create_instance( + cloud_memcache.CreateInstanceRequest(), + parent='parent_value', + instance_id='instance_id_value', + resource=cloud_memcache.Instance(name='name_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.UpdateInstanceRequest, + dict, +]) +def test_update_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_update_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + client.update_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + +@pytest.mark.asyncio +async def test_update_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_update_instance_async_from_dict(): + await test_update_instance_async(request_type=dict) + + +def test_update_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateInstanceRequest() + + request.resource.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'resource.name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_update_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateInstanceRequest() + + request.resource.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.update_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'resource.name=name_value', + ) in kw['metadata'] + + +def test_update_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.update_instance( + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + resource=cloud_memcache.Instance(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].resource + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + + +def test_update_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_instance( + cloud_memcache.UpdateInstanceRequest(), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + resource=cloud_memcache.Instance(name='name_value'), + ) + +@pytest.mark.asyncio +async def test_update_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.update_instance( + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + resource=cloud_memcache.Instance(name='name_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].resource + mock_val = cloud_memcache.Instance(name='name_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_update_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.update_instance( + cloud_memcache.UpdateInstanceRequest(), + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + resource=cloud_memcache.Instance(name='name_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.UpdateParametersRequest, + dict, +]) +def test_update_parameters(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_update_parameters_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + client.update_parameters() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + +@pytest.mark.asyncio +async def test_update_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateParametersRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.UpdateParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_update_parameters_async_from_dict(): + await test_update_parameters_async(request_type=dict) + + +def test_update_parameters_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_update_parameters_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.UpdateParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.update_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_update_parameters_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.update_parameters( + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].parameters + mock_val = cloud_memcache.MemcacheParameters(id='id_value') + assert arg == mock_val + + +def test_update_parameters_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.update_parameters( + cloud_memcache.UpdateParametersRequest(), + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + +@pytest.mark.asyncio +async def test_update_parameters_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.update_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.update_parameters( + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].update_mask + mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) + assert arg == mock_val + arg = args[0].parameters + mock_val = cloud_memcache.MemcacheParameters(id='id_value') + assert arg == mock_val + +@pytest.mark.asyncio +async def test_update_parameters_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.update_parameters( + cloud_memcache.UpdateParametersRequest(), + name='name_value', + update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), + parameters=cloud_memcache.MemcacheParameters(id='id_value'), + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.DeleteInstanceRequest, + dict, +]) +def test_delete_instance(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_delete_instance_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + client.delete_instance() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + +@pytest.mark.asyncio +async def test_delete_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.DeleteInstanceRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.DeleteInstanceRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_delete_instance_async_from_dict(): + await test_delete_instance_async(request_type=dict) + + +def test_delete_instance_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.DeleteInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_delete_instance_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.DeleteInstanceRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.delete_instance(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_delete_instance_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.delete_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + + +def test_delete_instance_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.delete_instance( + cloud_memcache.DeleteInstanceRequest(), + name='name_value', + ) + +@pytest.mark.asyncio +async def test_delete_instance_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.delete_instance), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.delete_instance( + name='name_value', + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + +@pytest.mark.asyncio +async def test_delete_instance_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.delete_instance( + cloud_memcache.DeleteInstanceRequest(), + name='name_value', + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.ApplyParametersRequest, + dict, +]) +def test_apply_parameters(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_apply_parameters_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + client.apply_parameters() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + +@pytest.mark.asyncio +async def test_apply_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplyParametersRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplyParametersRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_apply_parameters_async_from_dict(): + await test_apply_parameters_async(request_type=dict) + + +def test_apply_parameters_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplyParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_apply_parameters_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplyParametersRequest() + + request.name = 'name_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.apply_parameters(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'name=name_value', + ) in kw['metadata'] + + +def test_apply_parameters_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.apply_parameters( + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + + +def test_apply_parameters_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.apply_parameters( + cloud_memcache.ApplyParametersRequest(), + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + +@pytest.mark.asyncio +async def test_apply_parameters_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_parameters), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.apply_parameters( + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].name + mock_val = 'name_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + +@pytest.mark.asyncio +async def test_apply_parameters_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.apply_parameters( + cloud_memcache.ApplyParametersRequest(), + name='name_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + +@pytest.mark.parametrize("request_type", [ + cloud_memcache.ApplySoftwareUpdateRequest, + dict, +]) +def test_apply_software_update(request_type, transport: str = 'grpc'): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/spam') + response = client.apply_software_update(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +def test_apply_software_update_empty_call(): + # This test is a coverage failsafe to make sure that totally empty calls, + # i.e. request == None and no flattened fields passed, work. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + client.apply_software_update() + call.assert_called() + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() + +@pytest.mark.asyncio +async def test_apply_software_update_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplySoftwareUpdateRequest): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # Everything is optional in proto3 as far as the runtime is concerned, + # and we are mocking out the actual API, so just send an empty request. + request = request_type() + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + response = await client.apply_software_update(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() + + # Establish that the response is the type that we expect. + assert isinstance(response, future.Future) + + +@pytest.mark.asyncio +async def test_apply_software_update_async_from_dict(): + await test_apply_software_update_async(request_type=dict) + + +def test_apply_software_update_field_headers(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplySoftwareUpdateRequest() + + request.instance = 'instance_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + call.return_value = operations_pb2.Operation(name='operations/op') + client.apply_software_update(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'instance=instance_value', + ) in kw['metadata'] + + +@pytest.mark.asyncio +async def test_apply_software_update_field_headers_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Any value that is part of the HTTP/1.1 URI should be sent as + # a field header. Set these to a non-empty value. + request = cloud_memcache.ApplySoftwareUpdateRequest() + + request.instance = 'instance_value' + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) + await client.apply_software_update(request) + + # Establish that the underlying gRPC stub method was called. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + assert args[0] == request + + # Establish that the field header was sent. + _, _, kw = call.mock_calls[0] + assert ( + 'x-goog-request-params', + 'instance=instance_value', + ) in kw['metadata'] + + +def test_apply_software_update_flattened(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + client.apply_software_update( + instance='instance_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) == 1 + _, args, _ = call.mock_calls[0] + arg = args[0].instance + mock_val = 'instance_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + + +def test_apply_software_update_flattened_error(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + client.apply_software_update( + cloud_memcache.ApplySoftwareUpdateRequest(), + instance='instance_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + +@pytest.mark.asyncio +async def test_apply_software_update_flattened_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Mock the actual call within the gRPC stub, and fake the request. + with mock.patch.object( + type(client.transport.apply_software_update), + '__call__') as call: + # Designate an appropriate return value for the call. + call.return_value = operations_pb2.Operation(name='operations/op') + + call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( + operations_pb2.Operation(name='operations/spam') + ) + # Call the method with a truthy value for each flattened field, + # using the keyword arguments to the method. + response = await client.apply_software_update( + instance='instance_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + # Establish that the underlying call was made with the expected + # request object values. + assert len(call.mock_calls) + _, args, _ = call.mock_calls[0] + arg = args[0].instance + mock_val = 'instance_value' + assert arg == mock_val + arg = args[0].node_ids + mock_val = ['node_ids_value'] + assert arg == mock_val + arg = args[0].apply_all + mock_val = True + assert arg == mock_val + +@pytest.mark.asyncio +async def test_apply_software_update_flattened_error_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Attempting to call a method with both a request object and flattened + # fields is an error. + with pytest.raises(ValueError): + await client.apply_software_update( + cloud_memcache.ApplySoftwareUpdateRequest(), + instance='instance_value', + node_ids=['node_ids_value'], + apply_all=True, + ) + + +def test_credentials_transport_error(): + # It is an error to provide credentials and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport, + ) + + # It is an error to provide a credentials file and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options={"credentials_file": "credentials.json"}, + transport=transport, + ) + + # It is an error to provide an api_key and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + options = client_options.ClientOptions() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options=options, + transport=transport, + ) + + # It is an error to provide an api_key and a credential. + options = mock.Mock() + options.api_key = "api_key" + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options=options, + credentials=ga_credentials.AnonymousCredentials() + ) + + # It is an error to provide scopes and a transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + with pytest.raises(ValueError): + client = CloudMemcacheClient( + client_options={"scopes": ["1", "2"]}, + transport=transport, + ) + + +def test_transport_instance(): + # A client may be instantiated with a custom transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + client = CloudMemcacheClient(transport=transport) + assert client.transport is transport + +def test_transport_get_channel(): + # A client may be instantiated with a custom transport instance. + transport = transports.CloudMemcacheGrpcTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + + transport = transports.CloudMemcacheGrpcAsyncIOTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + channel = transport.grpc_channel + assert channel + +@pytest.mark.parametrize("transport_class", [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, +]) +def test_transport_adc(transport_class): + # Test default credentials are used if not provided. + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class() + adc.assert_called_once() + +@pytest.mark.parametrize("transport_name", [ + "grpc", +]) +def test_transport_kind(transport_name): + transport = CloudMemcacheClient.get_transport_class(transport_name)( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert transport.kind == transport_name + +def test_transport_grpc_default(): + # A client should use the gRPC transport by default. + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + ) + assert isinstance( + client.transport, + transports.CloudMemcacheGrpcTransport, + ) + +def test_cloud_memcache_base_transport_error(): + # Passing both a credentials object and credentials_file should raise an error + with pytest.raises(core_exceptions.DuplicateCredentialArgs): + transport = transports.CloudMemcacheTransport( + credentials=ga_credentials.AnonymousCredentials(), + credentials_file="credentials.json" + ) + + +def test_cloud_memcache_base_transport(): + # Instantiate the base transport. + with mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport.__init__') as Transport: + Transport.return_value = None + transport = transports.CloudMemcacheTransport( + credentials=ga_credentials.AnonymousCredentials(), + ) + + # Every method on the transport should just blindly + # raise NotImplementedError. + methods = ( + 'list_instances', + 'get_instance', + 'create_instance', + 'update_instance', + 'update_parameters', + 'delete_instance', + 'apply_parameters', + 'apply_software_update', + ) + for method in methods: + with pytest.raises(NotImplementedError): + getattr(transport, method)(request=object()) + + with pytest.raises(NotImplementedError): + transport.close() + + # Additionally, the LRO client (a property) should + # also raise NotImplementedError + with pytest.raises(NotImplementedError): + transport.operations_client + + # Catch all for all remaining methods and properties + remainder = [ + 'kind', + ] + for r in remainder: + with pytest.raises(NotImplementedError): + getattr(transport, r)() + + +def test_cloud_memcache_base_transport_with_credentials_file(): + # Instantiate the base transport with a credentials file + with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.CloudMemcacheTransport( + credentials_file="credentials.json", + quota_project_id="octopus", + ) + load_creds.assert_called_once_with("credentials.json", + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id="octopus", + ) + + +def test_cloud_memcache_base_transport_with_adc(): + # Test the default credentials are used if credentials and credentials_file are None. + with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: + Transport.return_value = None + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport = transports.CloudMemcacheTransport() + adc.assert_called_once() + + +def test_cloud_memcache_auth_adc(): + # If no credentials are provided, we should use ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + CloudMemcacheClient() + adc.assert_called_once_with( + scopes=None, + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + quota_project_id=None, + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, + ], +) +def test_cloud_memcache_transport_auth_adc(transport_class): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + adc.return_value = (ga_credentials.AnonymousCredentials(), None) + transport_class(quota_project_id="octopus", scopes=["1", "2"]) + adc.assert_called_once_with( + scopes=["1", "2"], + default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), + quota_project_id="octopus", + ) + + +@pytest.mark.parametrize( + "transport_class", + [ + transports.CloudMemcacheGrpcTransport, + transports.CloudMemcacheGrpcAsyncIOTransport, + ], +) +def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): + host = 'https://language.com' + api_audience_tests = [None, 'https://language2.com'] + api_audience_expect = [host, 'https://language2.com'] + for t, e in zip(api_audience_tests, api_audience_expect): + with mock.patch.object(google.auth, 'default', autospec=True) as adc: + gdch_mock = mock.MagicMock() + type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) + adc.return_value = (gdch_mock, None) + transport_class(host=host, api_audience=t) + gdch_mock.with_gdch_audience.assert_called_once_with( + e + ) + + +@pytest.mark.parametrize( + "transport_class,grpc_helpers", + [ + (transports.CloudMemcacheGrpcTransport, grpc_helpers), + (transports.CloudMemcacheGrpcAsyncIOTransport, grpc_helpers_async) + ], +) +def test_cloud_memcache_transport_create_channel(transport_class, grpc_helpers): + # If credentials and host are not provided, the transport class should use + # ADC credentials. + with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( + grpc_helpers, "create_channel", autospec=True + ) as create_channel: + creds = ga_credentials.AnonymousCredentials() + adc.return_value = (creds, None) + transport_class( + quota_project_id="octopus", + scopes=["1", "2"] + ) + + create_channel.assert_called_with( + "memcache.googleapis.com:443", + credentials=creds, + credentials_file=None, + quota_project_id="octopus", + default_scopes=( + 'https://www.googleapis.com/auth/cloud-platform', +), + scopes=["1", "2"], + default_host="memcache.googleapis.com", + ssl_credentials=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_grpc_transport_client_cert_source_for_mtls( + transport_class +): + cred = ga_credentials.AnonymousCredentials() + + # Check ssl_channel_credentials is used if provided. + with mock.patch.object(transport_class, "create_channel") as mock_create_channel: + mock_ssl_channel_creds = mock.Mock() + transport_class( + host="squid.clam.whelk", + credentials=cred, + ssl_channel_credentials=mock_ssl_channel_creds + ) + mock_create_channel.assert_called_once_with( + "squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_channel_creds, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + + # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls + # is used. + with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): + with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: + transport_class( + credentials=cred, + client_cert_source_for_mtls=client_cert_source_callback + ) + expected_cert, expected_key = client_cert_source_callback() + mock_ssl_cred.assert_called_once_with( + certificate_chain=expected_cert, + private_key=expected_key + ) + + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", +]) +def test_cloud_memcache_host_no_port(transport_name): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com'), + transport=transport_name, + ) + assert client.transport._host == ( + 'memcache.googleapis.com:443' + ) + +@pytest.mark.parametrize("transport_name", [ + "grpc", + "grpc_asyncio", +]) +def test_cloud_memcache_host_with_port(transport_name): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com:8000'), + transport=transport_name, + ) + assert client.transport._host == ( + 'memcache.googleapis.com:8000' + ) + +def test_cloud_memcache_grpc_transport_channel(): + channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.CloudMemcacheGrpcTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +def test_cloud_memcache_grpc_asyncio_transport_channel(): + channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) + + # Check that channel is used if provided. + transport = transports.CloudMemcacheGrpcAsyncIOTransport( + host="squid.clam.whelk", + channel=channel, + ) + assert transport.grpc_channel == channel + assert transport._host == "squid.clam.whelk:443" + assert transport._ssl_channel_credentials == None + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_transport_channel_mtls_with_client_cert_source( + transport_class +): + with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_ssl_cred = mock.Mock() + grpc_ssl_channel_cred.return_value = mock_ssl_cred + + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + + cred = ga_credentials.AnonymousCredentials() + with pytest.warns(DeprecationWarning): + with mock.patch.object(google.auth, 'default') as adc: + adc.return_value = (cred, None) + transport = transport_class( + host="squid.clam.whelk", + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=client_cert_source_callback, + ) + adc.assert_called_once() + + grpc_ssl_channel_cred.assert_called_once_with( + certificate_chain=b"cert bytes", private_key=b"key bytes" + ) + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + assert transport._ssl_channel_credentials == mock_ssl_cred + + +# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are +# removed from grpc/grpc_asyncio transport constructor. +@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) +def test_cloud_memcache_transport_channel_mtls_with_adc( + transport_class +): + mock_ssl_cred = mock.Mock() + with mock.patch.multiple( + "google.auth.transport.grpc.SslCredentials", + __init__=mock.Mock(return_value=None), + ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), + ): + with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: + mock_grpc_channel = mock.Mock() + grpc_create_channel.return_value = mock_grpc_channel + mock_cred = mock.Mock() + + with pytest.warns(DeprecationWarning): + transport = transport_class( + host="squid.clam.whelk", + credentials=mock_cred, + api_mtls_endpoint="mtls.squid.clam.whelk", + client_cert_source=None, + ) + + grpc_create_channel.assert_called_once_with( + "mtls.squid.clam.whelk:443", + credentials=mock_cred, + credentials_file=None, + scopes=None, + ssl_credentials=mock_ssl_cred, + quota_project_id=None, + options=[ + ("grpc.max_send_message_length", -1), + ("grpc.max_receive_message_length", -1), + ], + ) + assert transport.grpc_channel == mock_grpc_channel + + +def test_cloud_memcache_grpc_lro_client(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_cloud_memcache_grpc_lro_async_client(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport='grpc_asyncio', + ) + transport = client.transport + + # Ensure that we have a api-core operations client. + assert isinstance( + transport.operations_client, + operations_v1.OperationsAsyncClient, + ) + + # Ensure that subsequent calls to the property send the exact same object. + assert transport.operations_client is transport.operations_client + + +def test_instance_path(): + project = "squid" + location = "clam" + instance = "whelk" + expected = "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) + actual = CloudMemcacheClient.instance_path(project, location, instance) + assert expected == actual + + +def test_parse_instance_path(): + expected = { + "project": "octopus", + "location": "oyster", + "instance": "nudibranch", + } + path = CloudMemcacheClient.instance_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_instance_path(path) + assert expected == actual + +def test_common_billing_account_path(): + billing_account = "cuttlefish" + expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) + actual = CloudMemcacheClient.common_billing_account_path(billing_account) + assert expected == actual + + +def test_parse_common_billing_account_path(): + expected = { + "billing_account": "mussel", + } + path = CloudMemcacheClient.common_billing_account_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_billing_account_path(path) + assert expected == actual + +def test_common_folder_path(): + folder = "winkle" + expected = "folders/{folder}".format(folder=folder, ) + actual = CloudMemcacheClient.common_folder_path(folder) + assert expected == actual + + +def test_parse_common_folder_path(): + expected = { + "folder": "nautilus", + } + path = CloudMemcacheClient.common_folder_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_folder_path(path) + assert expected == actual + +def test_common_organization_path(): + organization = "scallop" + expected = "organizations/{organization}".format(organization=organization, ) + actual = CloudMemcacheClient.common_organization_path(organization) + assert expected == actual + + +def test_parse_common_organization_path(): + expected = { + "organization": "abalone", + } + path = CloudMemcacheClient.common_organization_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_organization_path(path) + assert expected == actual + +def test_common_project_path(): + project = "squid" + expected = "projects/{project}".format(project=project, ) + actual = CloudMemcacheClient.common_project_path(project) + assert expected == actual + + +def test_parse_common_project_path(): + expected = { + "project": "clam", + } + path = CloudMemcacheClient.common_project_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_project_path(path) + assert expected == actual + +def test_common_location_path(): + project = "whelk" + location = "octopus" + expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) + actual = CloudMemcacheClient.common_location_path(project, location) + assert expected == actual + + +def test_parse_common_location_path(): + expected = { + "project": "oyster", + "location": "nudibranch", + } + path = CloudMemcacheClient.common_location_path(**expected) + + # Check that the path construction is reversible. + actual = CloudMemcacheClient.parse_common_location_path(path) + assert expected == actual + + +def test_client_with_default_client_info(): + client_info = gapic_v1.client_info.ClientInfo() + + with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + + with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: + transport_class = CloudMemcacheClient.get_transport_class() + transport = transport_class( + credentials=ga_credentials.AnonymousCredentials(), + client_info=client_info, + ) + prep.assert_called_once_with(client_info) + +@pytest.mark.asyncio +async def test_transport_close_async(): + client = CloudMemcacheAsyncClient( + credentials=ga_credentials.AnonymousCredentials(), + transport="grpc_asyncio", + ) + with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: + async with client: + close.assert_not_called() + close.assert_called_once() + + +def test_transport_close(): + transports = { + "grpc": "_grpc_channel", + } + + for transport, close_name in transports.items(): + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: + with client: + close.assert_not_called() + close.assert_called_once() + +def test_client_ctx(): + transports = [ + 'grpc', + ] + for transport in transports: + client = CloudMemcacheClient( + credentials=ga_credentials.AnonymousCredentials(), + transport=transport + ) + # Test client calls underlying transport. + with mock.patch.object(type(client.transport), "close") as close: + close.assert_not_called() + with client: + pass + close.assert_called() + +@pytest.mark.parametrize("client_class,transport_class", [ + (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport), + (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport), +]) +def test_api_key_credentials(client_class, transport_class): + with mock.patch.object( + google.auth._default, "get_api_key_credentials", create=True + ) as get_api_key_credentials: + mock_cred = mock.Mock() + get_api_key_credentials.return_value = mock_cred + options = client_options.ClientOptions() + options.api_key = "api_key" + with mock.patch.object(transport_class, "__init__") as patched: + patched.return_value = None + client = client_class(client_options=options) + patched.assert_called_once_with( + credentials=mock_cred, + credentials_file=None, + host=client.DEFAULT_ENDPOINT, + scopes=None, + client_cert_source_for_mtls=None, + quota_project_id=None, + client_info=transports.base.DEFAULT_CLIENT_INFO, + always_use_jwt_access=True, + api_audience=None, + ) From c104fd87b3fd580f7f9e28fbe277439ea1fe88f0 Mon Sep 17 00:00:00 2001 From: Owl Bot Date: Tue, 5 Jul 2022 23:29:22 +0000 Subject: [PATCH 4/5] =?UTF-8?q?=F0=9F=A6=89=20Updates=20from=20OwlBot=20po?= =?UTF-8?q?st-processor?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit See 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owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py diff --git a/owl-bot-staging/v1/.coveragerc b/owl-bot-staging/v1/.coveragerc deleted file mode 100644 index 028e2ca..0000000 --- a/owl-bot-staging/v1/.coveragerc +++ /dev/null @@ -1,17 +0,0 @@ -[run] -branch = True - -[report] -show_missing = True -omit = - google/cloud/memcache/__init__.py -exclude_lines = - # Re-enable the standard pragma - pragma: NO COVER - # Ignore debug-only repr - def __repr__ - # Ignore pkg_resources exceptions. - # This is added at the module level as a safeguard for if someone - # generates the code and tries to run it without pip installing. This - # makes it virtually impossible to test properly. - except pkg_resources.DistributionNotFound diff --git a/owl-bot-staging/v1/.flake8 b/owl-bot-staging/v1/.flake8 deleted file mode 100644 index 29227d4..0000000 --- a/owl-bot-staging/v1/.flake8 +++ /dev/null @@ -1,33 +0,0 @@ -# -*- coding: utf-8 -*- -# -# Copyright 2020 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -# Generated by synthtool. DO NOT EDIT! -[flake8] -ignore = E203, E266, E501, W503 -exclude = - # Exclude generated code. - **/proto/** - **/gapic/** - **/services/** - **/types/** - *_pb2.py - - # Standard linting exemptions. - **/.nox/** - __pycache__, - .git, - *.pyc, - conf.py diff --git a/owl-bot-staging/v1/MANIFEST.in b/owl-bot-staging/v1/MANIFEST.in deleted file mode 100644 index b997504..0000000 --- a/owl-bot-staging/v1/MANIFEST.in +++ /dev/null @@ -1,2 +0,0 @@ -recursive-include google/cloud/memcache *.py -recursive-include google/cloud/memcache_v1 *.py diff --git a/owl-bot-staging/v1/README.rst b/owl-bot-staging/v1/README.rst deleted file mode 100644 index 672802b..0000000 --- a/owl-bot-staging/v1/README.rst +++ /dev/null @@ -1,49 +0,0 @@ -Python Client for Google Cloud Memcache API -================================================= - -Quick Start ------------ - -In order to use this library, you first need to go through the following steps: - -1. `Select or create a Cloud Platform project.`_ -2. `Enable billing for your project.`_ -3. Enable the Google Cloud Memcache API. -4. `Setup Authentication.`_ - -.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project -.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project -.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html - -Installation -~~~~~~~~~~~~ - -Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to -create isolated Python environments. The basic problem it addresses is one of -dependencies and versions, and indirectly permissions. - -With `virtualenv`_, it's possible to install this library without needing system -install permissions, and without clashing with the installed system -dependencies. - -.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ - - -Mac/Linux -^^^^^^^^^ - -.. code-block:: console - - python3 -m venv - source /bin/activate - /bin/pip install /path/to/library - - -Windows -^^^^^^^ - -.. code-block:: console - - python3 -m venv - \Scripts\activate - \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/v1/docs/conf.py b/owl-bot-staging/v1/docs/conf.py deleted file mode 100644 index d96922c..0000000 --- a/owl-bot-staging/v1/docs/conf.py +++ /dev/null @@ -1,376 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# -# google-cloud-memcache documentation build configuration file -# -# This file is execfile()d with the current directory set to its -# containing dir. -# -# Note that not all possible configuration values are present in this -# autogenerated file. -# -# All configuration values have a default; values that are commented out -# serve to show the default. - -import sys -import os -import shlex - -# If extensions (or modules to document with autodoc) are in another directory, -# add these directories to sys.path here. If the directory is relative to the -# documentation root, use os.path.abspath to make it absolute, like shown here. -sys.path.insert(0, os.path.abspath("..")) - -__version__ = "0.1.0" - -# -- General configuration ------------------------------------------------ - -# If your documentation needs a minimal Sphinx version, state it here. -needs_sphinx = "4.0.1" - -# Add any Sphinx extension module names here, as strings. They can be -# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom -# ones. -extensions = [ - "sphinx.ext.autodoc", - "sphinx.ext.autosummary", - "sphinx.ext.intersphinx", - "sphinx.ext.coverage", - "sphinx.ext.napoleon", - "sphinx.ext.todo", - "sphinx.ext.viewcode", -] - -# autodoc/autosummary flags -autoclass_content = "both" -autodoc_default_flags = ["members"] -autosummary_generate = True - - -# Add any paths that contain templates here, relative to this directory. -templates_path = ["_templates"] - -# Allow markdown includes (so releases.md can include CHANGLEOG.md) -# http://www.sphinx-doc.org/en/master/markdown.html -source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} - -# The suffix(es) of source filenames. -# You can specify multiple suffix as a list of string: -source_suffix = [".rst", ".md"] - -# The encoding of source files. -# source_encoding = 'utf-8-sig' - -# The root toctree document. -root_doc = "index" - -# General information about the project. -project = u"google-cloud-memcache" -copyright = u"2022, Google, LLC" -author = u"Google APIs" # TODO: autogenerate this bit - -# The version info for the project you're documenting, acts as replacement for -# |version| and |release|, also used in various other places throughout the -# built documents. -# -# The full version, including alpha/beta/rc tags. -release = __version__ -# The short X.Y version. -version = ".".join(release.split(".")[0:2]) - -# The language for content autogenerated by Sphinx. Refer to documentation -# for a list of supported languages. -# -# This is also used if you do content translation via gettext catalogs. -# Usually you set "language" from the command line for these cases. -language = None - -# There are two options for replacing |today|: either, you set today to some -# non-false value, then it is used: -# today = '' -# Else, today_fmt is used as the format for a strftime call. -# today_fmt = '%B %d, %Y' - -# List of patterns, relative to source directory, that match files and -# directories to ignore when looking for source files. -exclude_patterns = ["_build"] - -# The reST default role (used for this markup: `text`) to use for all -# documents. -# default_role = None - -# If true, '()' will be appended to :func: etc. cross-reference text. -# add_function_parentheses = True - -# If true, the current module name will be prepended to all description -# unit titles (such as .. function::). -# add_module_names = True - -# If true, sectionauthor and moduleauthor directives will be shown in the -# output. They are ignored by default. -# show_authors = False - -# The name of the Pygments (syntax highlighting) style to use. -pygments_style = "sphinx" - -# A list of ignored prefixes for module index sorting. -# modindex_common_prefix = [] - -# If true, keep warnings as "system message" paragraphs in the built documents. -# keep_warnings = False - -# If true, `todo` and `todoList` produce output, else they produce nothing. -todo_include_todos = True - - -# -- Options for HTML output ---------------------------------------------- - -# The theme to use for HTML and HTML Help pages. See the documentation for -# a list of builtin themes. -html_theme = "alabaster" - -# Theme options are theme-specific and customize the look and feel of a theme -# further. For a list of options available for each theme, see the -# documentation. -html_theme_options = { - "description": "Google Cloud Client Libraries for Python", - "github_user": "googleapis", - "github_repo": "google-cloud-python", - "github_banner": True, - "font_family": "'Roboto', Georgia, sans", - "head_font_family": "'Roboto', Georgia, serif", - "code_font_family": "'Roboto Mono', 'Consolas', monospace", -} - -# Add any paths that contain custom themes here, relative to this directory. -# html_theme_path = [] - -# The name for this set of Sphinx documents. If None, it defaults to -# " v documentation". -# html_title = None - -# A shorter title for the navigation bar. Default is the same as html_title. -# html_short_title = None - -# The name of an image file (relative to this directory) to place at the top -# of the sidebar. -# html_logo = None - -# The name of an image file (within the static path) to use as favicon of the -# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 -# pixels large. -# html_favicon = None - -# Add any paths that contain custom static files (such as style sheets) here, -# relative to this directory. They are copied after the builtin static files, -# so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ["_static"] - -# Add any extra paths that contain custom files (such as robots.txt or -# .htaccess) here, relative to this directory. These files are copied -# directly to the root of the documentation. -# html_extra_path = [] - -# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, -# using the given strftime format. -# html_last_updated_fmt = '%b %d, %Y' - -# If true, SmartyPants will be used to convert quotes and dashes to -# typographically correct entities. -# html_use_smartypants = True - -# Custom sidebar templates, maps document names to template names. -# html_sidebars = {} - -# Additional templates that should be rendered to pages, maps page names to -# template names. -# html_additional_pages = {} - -# If false, no module index is generated. -# html_domain_indices = True - -# If false, no index is generated. -# html_use_index = True - -# If true, the index is split into individual pages for each letter. -# html_split_index = False - -# If true, links to the reST sources are added to the pages. -# html_show_sourcelink = True - -# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. -# html_show_sphinx = True - -# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. -# html_show_copyright = True - -# If true, an OpenSearch description file will be output, and all pages will -# contain a tag referring to it. The value of this option must be the -# base URL from which the finished HTML is served. -# html_use_opensearch = '' - -# This is the file name suffix for HTML files (e.g. ".xhtml"). -# html_file_suffix = None - -# Language to be used for generating the HTML full-text search index. -# Sphinx supports the following languages: -# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' -# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' -# html_search_language = 'en' - -# A dictionary with options for the search language support, empty by default. -# Now only 'ja' uses this config value -# html_search_options = {'type': 'default'} - -# The name of a javascript file (relative to the configuration directory) that -# implements a search results scorer. If empty, the default will be used. -# html_search_scorer = 'scorer.js' - -# Output file base name for HTML help builder. -htmlhelp_basename = "google-cloud-memcache-doc" - -# -- Options for warnings ------------------------------------------------------ - - -suppress_warnings = [ - # Temporarily suppress this to avoid "more than one target found for - # cross-reference" warning, which are intractable for us to avoid while in - # a mono-repo. - # See https://github.com/sphinx-doc/sphinx/blob - # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 - "ref.python" -] - -# -- Options for LaTeX output --------------------------------------------- - -latex_elements = { - # The paper size ('letterpaper' or 'a4paper'). - # 'papersize': 'letterpaper', - # The font size ('10pt', '11pt' or '12pt'). - # 'pointsize': '10pt', - # Additional stuff for the LaTeX preamble. - # 'preamble': '', - # Latex figure (float) alignment - # 'figure_align': 'htbp', -} - -# Grouping the document tree into LaTeX files. List of tuples -# (source start file, target name, title, -# author, documentclass [howto, manual, or own class]). -latex_documents = [ - ( - root_doc, - "google-cloud-memcache.tex", - u"google-cloud-memcache Documentation", - author, - "manual", - ) -] - -# The name of an image file (relative to this directory) to place at the top of -# the title page. -# latex_logo = None - -# For "manual" documents, if this is true, then toplevel headings are parts, -# not chapters. -# latex_use_parts = False - -# If true, show page references after internal links. -# latex_show_pagerefs = False - -# If true, show URL addresses after external links. -# latex_show_urls = False - -# Documents to append as an appendix to all manuals. -# latex_appendices = [] - -# If false, no module index is generated. -# latex_domain_indices = True - - -# -- Options for manual page output --------------------------------------- - -# One entry per manual page. List of tuples -# (source start file, name, description, authors, manual section). -man_pages = [ - ( - root_doc, - "google-cloud-memcache", - u"Google Cloud Memcache Documentation", - [author], - 1, - ) -] - -# If true, show URL addresses after external links. -# man_show_urls = False - - -# -- Options for Texinfo output ------------------------------------------- - -# Grouping the document tree into Texinfo files. List of tuples -# (source start file, target name, title, author, -# dir menu entry, description, category) -texinfo_documents = [ - ( - root_doc, - "google-cloud-memcache", - u"google-cloud-memcache Documentation", - author, - "google-cloud-memcache", - "GAPIC library for Google Cloud Memcache API", - "APIs", - ) -] - -# Documents to append as an appendix to all manuals. -# texinfo_appendices = [] - -# If false, no module index is generated. -# texinfo_domain_indices = True - -# How to display URL addresses: 'footnote', 'no', or 'inline'. -# texinfo_show_urls = 'footnote' - -# If true, do not generate a @detailmenu in the "Top" node's menu. -# texinfo_no_detailmenu = False - - -# Example configuration for intersphinx: refer to the Python standard library. -intersphinx_mapping = { - "python": ("http://python.readthedocs.org/en/latest/", None), - "gax": ("https://gax-python.readthedocs.org/en/latest/", None), - "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), - "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), - "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), - "grpc": ("https://grpc.io/grpc/python/", None), - "requests": ("http://requests.kennethreitz.org/en/stable/", None), - "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), - "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), -} - - -# Napoleon settings -napoleon_google_docstring = True -napoleon_numpy_docstring = True -napoleon_include_private_with_doc = False -napoleon_include_special_with_doc = True -napoleon_use_admonition_for_examples = False -napoleon_use_admonition_for_notes = False -napoleon_use_admonition_for_references = False -napoleon_use_ivar = False -napoleon_use_param = True -napoleon_use_rtype = True diff --git a/owl-bot-staging/v1/docs/index.rst b/owl-bot-staging/v1/docs/index.rst deleted file mode 100644 index fcd849b..0000000 --- a/owl-bot-staging/v1/docs/index.rst +++ /dev/null @@ -1,7 +0,0 @@ -API Reference -------------- -.. toctree:: - :maxdepth: 2 - - memcache_v1/services - memcache_v1/types diff --git a/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst b/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst deleted file mode 100644 index 35de375..0000000 --- a/owl-bot-staging/v1/docs/memcache_v1/cloud_memcache.rst +++ /dev/null @@ -1,10 +0,0 @@ -CloudMemcache -------------------------------- - -.. automodule:: google.cloud.memcache_v1.services.cloud_memcache - :members: - :inherited-members: - -.. automodule:: google.cloud.memcache_v1.services.cloud_memcache.pagers - :members: - :inherited-members: diff --git a/owl-bot-staging/v1/docs/memcache_v1/services.rst b/owl-bot-staging/v1/docs/memcache_v1/services.rst deleted file mode 100644 index 01fd6b8..0000000 --- a/owl-bot-staging/v1/docs/memcache_v1/services.rst +++ /dev/null @@ -1,6 +0,0 @@ -Services for Google Cloud Memcache v1 API -========================================= -.. toctree:: - :maxdepth: 2 - - cloud_memcache diff --git a/owl-bot-staging/v1/docs/memcache_v1/types.rst b/owl-bot-staging/v1/docs/memcache_v1/types.rst deleted file mode 100644 index 06bda21..0000000 --- a/owl-bot-staging/v1/docs/memcache_v1/types.rst +++ /dev/null @@ -1,7 +0,0 @@ -Types for Google Cloud Memcache v1 API -====================================== - -.. automodule:: google.cloud.memcache_v1.types - :members: - :undoc-members: - :show-inheritance: diff --git a/owl-bot-staging/v1/google/cloud/memcache/__init__.py b/owl-bot-staging/v1/google/cloud/memcache/__init__.py deleted file mode 100644 index 7d9086e..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache/__init__.py +++ /dev/null @@ -1,47 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -from google.cloud.memcache_v1.services.cloud_memcache.client import CloudMemcacheClient -from google.cloud.memcache_v1.services.cloud_memcache.async_client import CloudMemcacheAsyncClient - -from google.cloud.memcache_v1.types.cloud_memcache import ApplyParametersRequest -from google.cloud.memcache_v1.types.cloud_memcache import CreateInstanceRequest -from google.cloud.memcache_v1.types.cloud_memcache import DeleteInstanceRequest -from google.cloud.memcache_v1.types.cloud_memcache import GetInstanceRequest -from google.cloud.memcache_v1.types.cloud_memcache import Instance -from google.cloud.memcache_v1.types.cloud_memcache import ListInstancesRequest -from google.cloud.memcache_v1.types.cloud_memcache import ListInstancesResponse -from google.cloud.memcache_v1.types.cloud_memcache import MemcacheParameters -from google.cloud.memcache_v1.types.cloud_memcache import OperationMetadata -from google.cloud.memcache_v1.types.cloud_memcache import UpdateInstanceRequest -from google.cloud.memcache_v1.types.cloud_memcache import UpdateParametersRequest -from google.cloud.memcache_v1.types.cloud_memcache import MemcacheVersion - -__all__ = ('CloudMemcacheClient', - 'CloudMemcacheAsyncClient', - 'ApplyParametersRequest', - 'CreateInstanceRequest', - 'DeleteInstanceRequest', - 'GetInstanceRequest', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'MemcacheParameters', - 'OperationMetadata', - 'UpdateInstanceRequest', - 'UpdateParametersRequest', - 'MemcacheVersion', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache/py.typed b/owl-bot-staging/v1/google/cloud/memcache/py.typed deleted file mode 100644 index 7959cf4..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache/py.typed +++ /dev/null @@ -1,2 +0,0 @@ -# Marker file for PEP 561. -# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py deleted file mode 100644 index 3f088d6..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/__init__.py +++ /dev/null @@ -1,48 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -from .services.cloud_memcache import CloudMemcacheClient -from .services.cloud_memcache import CloudMemcacheAsyncClient - -from .types.cloud_memcache import ApplyParametersRequest -from .types.cloud_memcache import CreateInstanceRequest -from .types.cloud_memcache import DeleteInstanceRequest -from .types.cloud_memcache import GetInstanceRequest -from .types.cloud_memcache import Instance -from .types.cloud_memcache import ListInstancesRequest -from .types.cloud_memcache import ListInstancesResponse -from .types.cloud_memcache import MemcacheParameters -from .types.cloud_memcache import OperationMetadata -from .types.cloud_memcache import UpdateInstanceRequest -from .types.cloud_memcache import UpdateParametersRequest -from .types.cloud_memcache import MemcacheVersion - -__all__ = ( - 'CloudMemcacheAsyncClient', -'ApplyParametersRequest', -'CloudMemcacheClient', -'CreateInstanceRequest', -'DeleteInstanceRequest', -'GetInstanceRequest', -'Instance', -'ListInstancesRequest', -'ListInstancesResponse', -'MemcacheParameters', -'MemcacheVersion', -'OperationMetadata', -'UpdateInstanceRequest', -'UpdateParametersRequest', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json b/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json deleted file mode 100644 index 08d37fa..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/gapic_metadata.json +++ /dev/null @@ -1,93 +0,0 @@ - { - "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", - "language": "python", - "libraryPackage": "google.cloud.memcache_v1", - "protoPackage": "google.cloud.memcache.v1", - "schema": "1.0", - "services": { - "CloudMemcache": { - "clients": { - "grpc": { - "libraryClient": "CloudMemcacheClient", - "rpcs": { - "ApplyParameters": { - "methods": [ - "apply_parameters" - ] - }, - "CreateInstance": { - "methods": [ - "create_instance" - ] - }, - "DeleteInstance": { - "methods": [ - "delete_instance" - ] - }, - "GetInstance": { - "methods": [ - "get_instance" - ] - }, - "ListInstances": { - "methods": [ - "list_instances" - ] - }, - "UpdateInstance": { - "methods": [ - "update_instance" - ] - }, - "UpdateParameters": { - "methods": [ - "update_parameters" - ] - } - } - }, - "grpc-async": { - "libraryClient": "CloudMemcacheAsyncClient", - "rpcs": { - "ApplyParameters": { - "methods": [ - "apply_parameters" - ] - }, - "CreateInstance": { - "methods": [ - "create_instance" - ] - }, - "DeleteInstance": { - "methods": [ - "delete_instance" - ] - }, - "GetInstance": { - "methods": [ - "get_instance" - ] - }, - "ListInstances": { - "methods": [ - "list_instances" - ] - }, - "UpdateInstance": { - "methods": [ - "update_instance" - ] - }, - "UpdateParameters": { - "methods": [ - "update_parameters" - ] - } - } - } - } - } - } -} diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed b/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed deleted file mode 100644 index 7959cf4..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/py.typed +++ /dev/null @@ -1,2 +0,0 @@ -# Marker file for PEP 561. -# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py deleted file mode 100644 index e8e1c38..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py deleted file mode 100644 index a7034a9..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/__init__.py +++ /dev/null @@ -1,22 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from .client import CloudMemcacheClient -from .async_client import CloudMemcacheAsyncClient - -__all__ = ( - 'CloudMemcacheClient', - 'CloudMemcacheAsyncClient', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py deleted file mode 100644 index d79ba21..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/async_client.py +++ /dev/null @@ -1,1089 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -import functools -import re -from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union -import pkg_resources - -from google.api_core.client_options import ClientOptions -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.auth import credentials as ga_credentials # type: ignore -from google.oauth2 import service_account # type: ignore - -try: - OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] -except AttributeError: # pragma: NO COVER - OptionalRetry = Union[retries.Retry, object] # type: ignore - -from google.api_core import operation # type: ignore -from google.api_core import operation_async # type: ignore -from google.cloud.memcache_v1.services.cloud_memcache import pagers -from google.cloud.memcache_v1.types import cloud_memcache -from google.protobuf import empty_pb2 # type: ignore -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport -from .client import CloudMemcacheClient - - -class CloudMemcacheAsyncClient: - """Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - """ - - _client: CloudMemcacheClient - - DEFAULT_ENDPOINT = CloudMemcacheClient.DEFAULT_ENDPOINT - DEFAULT_MTLS_ENDPOINT = CloudMemcacheClient.DEFAULT_MTLS_ENDPOINT - - instance_path = staticmethod(CloudMemcacheClient.instance_path) - parse_instance_path = staticmethod(CloudMemcacheClient.parse_instance_path) - common_billing_account_path = staticmethod(CloudMemcacheClient.common_billing_account_path) - parse_common_billing_account_path = staticmethod(CloudMemcacheClient.parse_common_billing_account_path) - common_folder_path = staticmethod(CloudMemcacheClient.common_folder_path) - parse_common_folder_path = staticmethod(CloudMemcacheClient.parse_common_folder_path) - common_organization_path = staticmethod(CloudMemcacheClient.common_organization_path) - parse_common_organization_path = staticmethod(CloudMemcacheClient.parse_common_organization_path) - common_project_path = staticmethod(CloudMemcacheClient.common_project_path) - parse_common_project_path = staticmethod(CloudMemcacheClient.parse_common_project_path) - common_location_path = staticmethod(CloudMemcacheClient.common_location_path) - parse_common_location_path = staticmethod(CloudMemcacheClient.parse_common_location_path) - - @classmethod - def from_service_account_info(cls, info: dict, *args, **kwargs): - """Creates an instance of this client using the provided credentials - info. - - Args: - info (dict): The service account private key info. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheAsyncClient: The constructed client. - """ - return CloudMemcacheClient.from_service_account_info.__func__(CloudMemcacheAsyncClient, info, *args, **kwargs) # type: ignore - - @classmethod - def from_service_account_file(cls, filename: str, *args, **kwargs): - """Creates an instance of this client using the provided credentials - file. - - Args: - filename (str): The path to the service account private key json - file. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheAsyncClient: The constructed client. - """ - return CloudMemcacheClient.from_service_account_file.__func__(CloudMemcacheAsyncClient, filename, *args, **kwargs) # type: ignore - - from_service_account_json = from_service_account_file - - @classmethod - def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): - """Return the API endpoint and client cert source for mutual TLS. - - The client cert source is determined in the following order: - (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the - client cert source is None. - (2) if `client_options.client_cert_source` is provided, use the provided one; if the - default client cert source exists, use the default one; otherwise the client cert - source is None. - - The API endpoint is determined in the following order: - (1) if `client_options.api_endpoint` if provided, use the provided one. - (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the - default mTLS endpoint; if the environment variabel is "never", use the default API - endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise - use the default API endpoint. - - More details can be found at https://google.aip.dev/auth/4114. - - Args: - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. Only the `api_endpoint` and `client_cert_source` properties may be used - in this method. - - Returns: - Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the - client cert source to use. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If any errors happen. - """ - return CloudMemcacheClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore - - @property - def transport(self) -> CloudMemcacheTransport: - """Returns the transport used by the client instance. - - Returns: - CloudMemcacheTransport: The transport used by the client instance. - """ - return self._client.transport - - get_transport_class = functools.partial(type(CloudMemcacheClient).get_transport_class, type(CloudMemcacheClient)) - - def __init__(self, *, - credentials: ga_credentials.Credentials = None, - transport: Union[str, CloudMemcacheTransport] = "grpc_asyncio", - client_options: ClientOptions = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - ) -> None: - """Instantiates the cloud memcache client. - - Args: - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - transport (Union[str, ~.CloudMemcacheTransport]): The - transport to use. If set to None, a transport is chosen - automatically. - client_options (ClientOptions): Custom options for the client. It - won't take effect if a ``transport`` instance is provided. - (1) The ``api_endpoint`` property can be used to override the - default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT - environment variable can also be used to override the endpoint: - "always" (always use the default mTLS endpoint), "never" (always - use the default regular endpoint) and "auto" (auto switch to the - default mTLS endpoint if client certificate is present, this is - the default value). However, the ``api_endpoint`` property takes - precedence if provided. - (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable - is "true", then the ``client_cert_source`` property can be used - to provide client certificate for mutual TLS transport. If - not provided, the default SSL client certificate will be used if - present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not - set, no client certificate will be used. - - Raises: - google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport - creation failed for any reason. - """ - self._client = CloudMemcacheClient( - credentials=credentials, - transport=transport, - client_options=client_options, - client_info=client_info, - - ) - - async def list_instances(self, - request: Union[cloud_memcache.ListInstancesRequest, dict] = None, - *, - parent: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> pagers.ListInstancesAsyncPager: - r"""Lists Instances in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_list_instances(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - async for response in page_result: - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]): - The request object. Request for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - parent (:class:`str`): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesAsyncPager: - Response for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - - Iterating over this object will yield results and - resolve additional pages automatically. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.ListInstancesRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.list_instances, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # This method is paged; wrap the response in a pager, which provides - # an `__aiter__` convenience method. - response = pagers.ListInstancesAsyncPager( - method=rpc, - request=request, - response=response, - metadata=metadata, - ) - - # Done; return the response. - return response - - async def get_instance(self, - request: Union[cloud_memcache.GetInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> cloud_memcache.Instance: - r"""Gets details of a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_get_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = await client.get_instance(request=request) - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]): - The request object. Request for - [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. - name (:class:`str`): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1.types.Instance: - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.GetInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.get_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Done; return the response. - return response - - async def create_instance(self, - request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, - *, - parent: str = None, - instance: cloud_memcache.Instance = None, - instance_id: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Creates a new Instance in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_create_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - instance=instance, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]): - The request object. Request for - [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. - parent (:class:`str`): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance (:class:`google.cloud.memcache_v1.types.Instance`): - Required. A Memcached Instance - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance_id (:class:`str`): - Required. The logical name of the Memcached instance in - the user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location - - If any of the above are not met, will raise an invalid - argument error. - - This corresponds to the ``instance_id`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent, instance, instance_id]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.CreateInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - if instance is not None: - request.instance = instance - if instance_id is not None: - request.instance_id = instance_id - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.create_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def update_instance(self, - request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, - *, - instance: cloud_memcache.Instance = None, - update_mask: field_mask_pb2.FieldMask = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Updates an existing Instance in a given project and - location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_update_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.UpdateInstanceRequest( - instance=instance, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]): - The request object. Request for - [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. - instance (:class:`google.cloud.memcache_v1.types.Instance`): - Required. A Memcached Instance. Only fields specified in - update_mask are updated. - - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): - Required. Mask of fields to update. - - - ``displayName`` - - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([instance, update_mask]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.UpdateInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if instance is not None: - request.instance = instance - if update_mask is not None: - request.update_mask = update_mask - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.update_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("instance.name", request.instance.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def update_parameters(self, - request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, - *, - name: str = None, - update_mask: field_mask_pb2.FieldMask = None, - parameters: cloud_memcache.MemcacheParameters = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Updates the defined Memcached Parameters for an - existing Instance. This method only stages the - parameters, it must be followed by ApplyParameters to - apply the parameters to nodes of the Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_update_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.UpdateParametersRequest, dict]): - The request object. Request for - [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. - name (:class:`str`): - Required. Resource name of the - Memcached instance for which the - parameters should be updated. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): - Required. Mask of fields to update. - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - parameters (:class:`google.cloud.memcache_v1.types.MemcacheParameters`): - The parameters to apply to the - instance. - - This corresponds to the ``parameters`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, update_mask, parameters]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.UpdateParametersRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if update_mask is not None: - request.update_mask = update_mask - if parameters is not None: - request.parameters = parameters - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.update_parameters, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def delete_instance(self, - request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Deletes a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_delete_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]): - The request object. Request for - [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. - name (:class:`str`): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated - empty messages in your APIs. A typical example is to - use it as the request or the response type of an API - method. For instance: - - service Foo { - rpc Bar(google.protobuf.Empty) returns - (google.protobuf.Empty); - - } - - The JSON representation for Empty is empty JSON - object {}. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.DeleteInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.delete_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - empty_pb2.Empty, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def apply_parameters(self, - request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, - *, - name: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""ApplyParameters will restart the set of specified - nodes in order to update them to the current set of - parameters for the Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - async def sample_apply_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.ApplyParametersRequest, dict]): - The request object. Request for - [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. - name (:class:`str`): - Required. Resource name of the - Memcached instance for which parameter - group updates should be applied. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (:class:`Sequence[str]`): - Nodes to which we should apply the - instance-level parameter group. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (:class:`bool`): - Whether to apply instance-level - parameter group to all nodes. If set to - true, will explicitly restrict users - from specifying any nodes, and apply - parameter group updates to all nodes - within the instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.ApplyParametersRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if apply_all is not None: - request.apply_all = apply_all - if node_ids: - request.node_ids.extend(node_ids) - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.apply_parameters, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def __aenter__(self): - return self - - async def __aexit__(self, exc_type, exc, tb): - await self.transport.close() - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - "google-cloud-memcache", - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -__all__ = ( - "CloudMemcacheAsyncClient", -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py deleted file mode 100644 index 6db9fe3..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/client.py +++ /dev/null @@ -1,1289 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -import os -import re -from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union -import pkg_resources - -from google.api_core import client_options as client_options_lib -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport import mtls # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore -from google.auth.exceptions import MutualTLSChannelError # type: ignore -from google.oauth2 import service_account # type: ignore - -try: - OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] -except AttributeError: # pragma: NO COVER - OptionalRetry = Union[retries.Retry, object] # type: ignore - -from google.api_core import operation # type: ignore -from google.api_core import operation_async # type: ignore -from google.cloud.memcache_v1.services.cloud_memcache import pagers -from google.cloud.memcache_v1.types import cloud_memcache -from google.protobuf import empty_pb2 # type: ignore -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .transports.grpc import CloudMemcacheGrpcTransport -from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport - - -class CloudMemcacheClientMeta(type): - """Metaclass for the CloudMemcache client. - - This provides class-level methods for building and retrieving - support objects (e.g. transport) without polluting the client instance - objects. - """ - _transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] - _transport_registry["grpc"] = CloudMemcacheGrpcTransport - _transport_registry["grpc_asyncio"] = CloudMemcacheGrpcAsyncIOTransport - - def get_transport_class(cls, - label: str = None, - ) -> Type[CloudMemcacheTransport]: - """Returns an appropriate transport class. - - Args: - label: The name of the desired transport. If none is - provided, then the first transport in the registry is used. - - Returns: - The transport class to use. - """ - # If a specific transport is requested, return that one. - if label: - return cls._transport_registry[label] - - # No transport is requested; return the default (that is, the first one - # in the dictionary). - return next(iter(cls._transport_registry.values())) - - -class CloudMemcacheClient(metaclass=CloudMemcacheClientMeta): - """Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - """ - - @staticmethod - def _get_default_mtls_endpoint(api_endpoint): - """Converts api endpoint to mTLS endpoint. - - Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to - "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. - Args: - api_endpoint (Optional[str]): the api endpoint to convert. - Returns: - str: converted mTLS api endpoint. - """ - if not api_endpoint: - return api_endpoint - - mtls_endpoint_re = re.compile( - r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" - ) - - m = mtls_endpoint_re.match(api_endpoint) - name, mtls, sandbox, googledomain = m.groups() - if mtls or not googledomain: - return api_endpoint - - if sandbox: - return api_endpoint.replace( - "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" - ) - - return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") - - DEFAULT_ENDPOINT = "memcache.googleapis.com" - DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore - DEFAULT_ENDPOINT - ) - - @classmethod - def from_service_account_info(cls, info: dict, *args, **kwargs): - """Creates an instance of this client using the provided credentials - info. - - Args: - info (dict): The service account private key info. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheClient: The constructed client. - """ - credentials = service_account.Credentials.from_service_account_info(info) - kwargs["credentials"] = credentials - return cls(*args, **kwargs) - - @classmethod - def from_service_account_file(cls, filename: str, *args, **kwargs): - """Creates an instance of this client using the provided credentials - file. - - Args: - filename (str): The path to the service account private key json - file. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheClient: The constructed client. - """ - credentials = service_account.Credentials.from_service_account_file( - filename) - kwargs["credentials"] = credentials - return cls(*args, **kwargs) - - from_service_account_json = from_service_account_file - - @property - def transport(self) -> CloudMemcacheTransport: - """Returns the transport used by the client instance. - - Returns: - CloudMemcacheTransport: The transport used by the client - instance. - """ - return self._transport - - @staticmethod - def instance_path(project: str,location: str,instance: str,) -> str: - """Returns a fully-qualified instance string.""" - return "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) - - @staticmethod - def parse_instance_path(path: str) -> Dict[str,str]: - """Parses a instance path into its component segments.""" - m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/instances/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_billing_account_path(billing_account: str, ) -> str: - """Returns a fully-qualified billing_account string.""" - return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) - - @staticmethod - def parse_common_billing_account_path(path: str) -> Dict[str,str]: - """Parse a billing_account path into its component segments.""" - m = re.match(r"^billingAccounts/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_folder_path(folder: str, ) -> str: - """Returns a fully-qualified folder string.""" - return "folders/{folder}".format(folder=folder, ) - - @staticmethod - def parse_common_folder_path(path: str) -> Dict[str,str]: - """Parse a folder path into its component segments.""" - m = re.match(r"^folders/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_organization_path(organization: str, ) -> str: - """Returns a fully-qualified organization string.""" - return "organizations/{organization}".format(organization=organization, ) - - @staticmethod - def parse_common_organization_path(path: str) -> Dict[str,str]: - """Parse a organization path into its component segments.""" - m = re.match(r"^organizations/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_project_path(project: str, ) -> str: - """Returns a fully-qualified project string.""" - return "projects/{project}".format(project=project, ) - - @staticmethod - def parse_common_project_path(path: str) -> Dict[str,str]: - """Parse a project path into its component segments.""" - m = re.match(r"^projects/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_location_path(project: str, location: str, ) -> str: - """Returns a fully-qualified location string.""" - return "projects/{project}/locations/{location}".format(project=project, location=location, ) - - @staticmethod - def parse_common_location_path(path: str) -> Dict[str,str]: - """Parse a location path into its component segments.""" - m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) - return m.groupdict() if m else {} - - @classmethod - def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): - """Return the API endpoint and client cert source for mutual TLS. - - The client cert source is determined in the following order: - (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the - client cert source is None. - (2) if `client_options.client_cert_source` is provided, use the provided one; if the - default client cert source exists, use the default one; otherwise the client cert - source is None. - - The API endpoint is determined in the following order: - (1) if `client_options.api_endpoint` if provided, use the provided one. - (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the - default mTLS endpoint; if the environment variabel is "never", use the default API - endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise - use the default API endpoint. - - More details can be found at https://google.aip.dev/auth/4114. - - Args: - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. Only the `api_endpoint` and `client_cert_source` properties may be used - in this method. - - Returns: - Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the - client cert source to use. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If any errors happen. - """ - if client_options is None: - client_options = client_options_lib.ClientOptions() - use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") - use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") - if use_client_cert not in ("true", "false"): - raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") - if use_mtls_endpoint not in ("auto", "never", "always"): - raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") - - # Figure out the client cert source to use. - client_cert_source = None - if use_client_cert == "true": - if client_options.client_cert_source: - client_cert_source = client_options.client_cert_source - elif mtls.has_default_client_cert_source(): - client_cert_source = mtls.default_client_cert_source() - - # Figure out which api endpoint to use. - if client_options.api_endpoint is not None: - api_endpoint = client_options.api_endpoint - elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): - api_endpoint = cls.DEFAULT_MTLS_ENDPOINT - else: - api_endpoint = cls.DEFAULT_ENDPOINT - - return api_endpoint, client_cert_source - - def __init__(self, *, - credentials: Optional[ga_credentials.Credentials] = None, - transport: Union[str, CloudMemcacheTransport, None] = None, - client_options: Optional[client_options_lib.ClientOptions] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - ) -> None: - """Instantiates the cloud memcache client. - - Args: - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - transport (Union[str, CloudMemcacheTransport]): The - transport to use. If set to None, a transport is chosen - automatically. - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. It won't take effect if a ``transport`` instance is provided. - (1) The ``api_endpoint`` property can be used to override the - default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT - environment variable can also be used to override the endpoint: - "always" (always use the default mTLS endpoint), "never" (always - use the default regular endpoint) and "auto" (auto switch to the - default mTLS endpoint if client certificate is present, this is - the default value). However, the ``api_endpoint`` property takes - precedence if provided. - (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable - is "true", then the ``client_cert_source`` property can be used - to provide client certificate for mutual TLS transport. If - not provided, the default SSL client certificate will be used if - present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not - set, no client certificate will be used. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport - creation failed for any reason. - """ - if isinstance(client_options, dict): - client_options = client_options_lib.from_dict(client_options) - if client_options is None: - client_options = client_options_lib.ClientOptions() - - api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(client_options) - - api_key_value = getattr(client_options, "api_key", None) - if api_key_value and credentials: - raise ValueError("client_options.api_key and credentials are mutually exclusive") - - # Save or instantiate the transport. - # Ordinarily, we provide the transport, but allowing a custom transport - # instance provides an extensibility point for unusual situations. - if isinstance(transport, CloudMemcacheTransport): - # transport is a CloudMemcacheTransport instance. - if credentials or client_options.credentials_file or api_key_value: - raise ValueError("When providing a transport instance, " - "provide its credentials directly.") - if client_options.scopes: - raise ValueError( - "When providing a transport instance, provide its scopes " - "directly." - ) - self._transport = transport - else: - import google.auth._default # type: ignore - - if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): - credentials = google.auth._default.get_api_key_credentials(api_key_value) - - Transport = type(self).get_transport_class(transport) - self._transport = Transport( - credentials=credentials, - credentials_file=client_options.credentials_file, - host=api_endpoint, - scopes=client_options.scopes, - client_cert_source_for_mtls=client_cert_source_func, - quota_project_id=client_options.quota_project_id, - client_info=client_info, - always_use_jwt_access=True, - api_audience=client_options.api_audience, - ) - - def list_instances(self, - request: Union[cloud_memcache.ListInstancesRequest, dict] = None, - *, - parent: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> pagers.ListInstancesPager: - r"""Lists Instances in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_list_instances(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - for response in page_result: - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.ListInstancesRequest, dict]): - The request object. Request for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - parent (str): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1.services.cloud_memcache.pagers.ListInstancesPager: - Response for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - - Iterating over this object will yield results and - resolve additional pages automatically. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.ListInstancesRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.ListInstancesRequest): - request = cloud_memcache.ListInstancesRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.list_instances] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # This method is paged; wrap the response in a pager, which provides - # an `__iter__` convenience method. - response = pagers.ListInstancesPager( - method=rpc, - request=request, - response=response, - metadata=metadata, - ) - - # Done; return the response. - return response - - def get_instance(self, - request: Union[cloud_memcache.GetInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> cloud_memcache.Instance: - r"""Gets details of a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_get_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = client.get_instance(request=request) - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.GetInstanceRequest, dict]): - The request object. Request for - [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. - name (str): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1.types.Instance: - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.GetInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.GetInstanceRequest): - request = cloud_memcache.GetInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.get_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Done; return the response. - return response - - def create_instance(self, - request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, - *, - parent: str = None, - instance: cloud_memcache.Instance = None, - instance_id: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Creates a new Instance in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_create_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - instance=instance, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.CreateInstanceRequest, dict]): - The request object. Request for - [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. - parent (str): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance (google.cloud.memcache_v1.types.Instance): - Required. A Memcached Instance - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance_id (str): - Required. The logical name of the Memcached instance in - the user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location - - If any of the above are not met, will raise an invalid - argument error. - - This corresponds to the ``instance_id`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent, instance, instance_id]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.CreateInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.CreateInstanceRequest): - request = cloud_memcache.CreateInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - if instance is not None: - request.instance = instance - if instance_id is not None: - request.instance_id = instance_id - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.create_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def update_instance(self, - request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, - *, - instance: cloud_memcache.Instance = None, - update_mask: field_mask_pb2.FieldMask = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Updates an existing Instance in a given project and - location. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_update_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.UpdateInstanceRequest( - instance=instance, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.UpdateInstanceRequest, dict]): - The request object. Request for - [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. - instance (google.cloud.memcache_v1.types.Instance): - Required. A Memcached Instance. Only fields specified in - update_mask are updated. - - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - - - ``displayName`` - - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([instance, update_mask]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.UpdateInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.UpdateInstanceRequest): - request = cloud_memcache.UpdateInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if instance is not None: - request.instance = instance - if update_mask is not None: - request.update_mask = update_mask - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.update_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("instance.name", request.instance.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def update_parameters(self, - request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, - *, - name: str = None, - update_mask: field_mask_pb2.FieldMask = None, - parameters: cloud_memcache.MemcacheParameters = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Updates the defined Memcached Parameters for an - existing Instance. This method only stages the - parameters, it must be followed by ApplyParameters to - apply the parameters to nodes of the Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_update_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.UpdateParametersRequest, dict]): - The request object. Request for - [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. - name (str): - Required. Resource name of the - Memcached instance for which the - parameters should be updated. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - parameters (google.cloud.memcache_v1.types.MemcacheParameters): - The parameters to apply to the - instance. - - This corresponds to the ``parameters`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, update_mask, parameters]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.UpdateParametersRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.UpdateParametersRequest): - request = cloud_memcache.UpdateParametersRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if update_mask is not None: - request.update_mask = update_mask - if parameters is not None: - request.parameters = parameters - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.update_parameters] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def delete_instance(self, - request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Deletes a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_delete_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.DeleteInstanceRequest, dict]): - The request object. Request for - [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. - name (str): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated - empty messages in your APIs. A typical example is to - use it as the request or the response type of an API - method. For instance: - - service Foo { - rpc Bar(google.protobuf.Empty) returns - (google.protobuf.Empty); - - } - - The JSON representation for Empty is empty JSON - object {}. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.DeleteInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.DeleteInstanceRequest): - request = cloud_memcache.DeleteInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.delete_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - empty_pb2.Empty, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def apply_parameters(self, - request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, - *, - name: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""ApplyParameters will restart the set of specified - nodes in order to update them to the current set of - parameters for the Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1 - - def sample_apply_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1.types.ApplyParametersRequest, dict]): - The request object. Request for - [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. - name (str): - Required. Resource name of the - Memcached instance for which parameter - group updates should be applied. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (Sequence[str]): - Nodes to which we should apply the - instance-level parameter group. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (bool): - Whether to apply instance-level - parameter group to all nodes. If set to - true, will explicitly restrict users - from specifying any nodes, and apply - parameter group updates to all nodes - within the instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1.types.Instance` - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.ApplyParametersRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.ApplyParametersRequest): - request = cloud_memcache.ApplyParametersRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if node_ids is not None: - request.node_ids = node_ids - if apply_all is not None: - request.apply_all = apply_all - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.apply_parameters] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def __enter__(self): - return self - - def __exit__(self, type, value, traceback): - """Releases underlying transport's resources. - - .. warning:: - ONLY use as a context manager if the transport is NOT shared - with other clients! Exiting the with block will CLOSE the transport - and may cause errors in other clients! - """ - self.transport.close() - - - - - - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - "google-cloud-memcache", - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -__all__ = ( - "CloudMemcacheClient", -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py deleted file mode 100644 index 72ba239..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/pagers.py +++ /dev/null @@ -1,139 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator - -from google.cloud.memcache_v1.types import cloud_memcache - - -class ListInstancesPager: - """A pager for iterating through ``list_instances`` requests. - - This class thinly wraps an initial - :class:`google.cloud.memcache_v1.types.ListInstancesResponse` object, and - provides an ``__iter__`` method to iterate through its - ``instances`` field. - - If there are more pages, the ``__iter__`` method will make additional - ``ListInstances`` requests and continue to iterate - through the ``instances`` field on the - corresponding responses. - - All the usual :class:`google.cloud.memcache_v1.types.ListInstancesResponse` - attributes are available on the pager. If multiple requests are made, only - the most recent response is retained, and thus used for attribute lookup. - """ - def __init__(self, - method: Callable[..., cloud_memcache.ListInstancesResponse], - request: cloud_memcache.ListInstancesRequest, - response: cloud_memcache.ListInstancesResponse, - *, - metadata: Sequence[Tuple[str, str]] = ()): - """Instantiate the pager. - - Args: - method (Callable): The method that was originally called, and - which instantiated this pager. - request (google.cloud.memcache_v1.types.ListInstancesRequest): - The initial request object. - response (google.cloud.memcache_v1.types.ListInstancesResponse): - The initial response object. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - """ - self._method = method - self._request = cloud_memcache.ListInstancesRequest(request) - self._response = response - self._metadata = metadata - - def __getattr__(self, name: str) -> Any: - return getattr(self._response, name) - - @property - def pages(self) -> Iterator[cloud_memcache.ListInstancesResponse]: - yield self._response - while self._response.next_page_token: - self._request.page_token = self._response.next_page_token - self._response = self._method(self._request, metadata=self._metadata) - yield self._response - - def __iter__(self) -> Iterator[cloud_memcache.Instance]: - for page in self.pages: - yield from page.instances - - def __repr__(self) -> str: - return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) - - -class ListInstancesAsyncPager: - """A pager for iterating through ``list_instances`` requests. - - This class thinly wraps an initial - :class:`google.cloud.memcache_v1.types.ListInstancesResponse` object, and - provides an ``__aiter__`` method to iterate through its - ``instances`` field. - - If there are more pages, the ``__aiter__`` method will make additional - ``ListInstances`` requests and continue to iterate - through the ``instances`` field on the - corresponding responses. - - All the usual :class:`google.cloud.memcache_v1.types.ListInstancesResponse` - attributes are available on the pager. If multiple requests are made, only - the most recent response is retained, and thus used for attribute lookup. - """ - def __init__(self, - method: Callable[..., Awaitable[cloud_memcache.ListInstancesResponse]], - request: cloud_memcache.ListInstancesRequest, - response: cloud_memcache.ListInstancesResponse, - *, - metadata: Sequence[Tuple[str, str]] = ()): - """Instantiates the pager. - - Args: - method (Callable): The method that was originally called, and - which instantiated this pager. - request (google.cloud.memcache_v1.types.ListInstancesRequest): - The initial request object. - response (google.cloud.memcache_v1.types.ListInstancesResponse): - The initial response object. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - """ - self._method = method - self._request = cloud_memcache.ListInstancesRequest(request) - self._response = response - self._metadata = metadata - - def __getattr__(self, name: str) -> Any: - return getattr(self._response, name) - - @property - async def pages(self) -> AsyncIterator[cloud_memcache.ListInstancesResponse]: - yield self._response - while self._response.next_page_token: - self._request.page_token = self._response.next_page_token - self._response = await self._method(self._request, metadata=self._metadata) - yield self._response - def __aiter__(self) -> AsyncIterator[cloud_memcache.Instance]: - async def async_generator(): - async for page in self.pages: - for response in page.instances: - yield response - - return async_generator() - - def __repr__(self) -> str: - return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py deleted file mode 100644 index 6067238..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/__init__.py +++ /dev/null @@ -1,33 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -from typing import Dict, Type - -from .base import CloudMemcacheTransport -from .grpc import CloudMemcacheGrpcTransport -from .grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport - - -# Compile a registry of transports. -_transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] -_transport_registry['grpc'] = CloudMemcacheGrpcTransport -_transport_registry['grpc_asyncio'] = CloudMemcacheGrpcAsyncIOTransport - -__all__ = ( - 'CloudMemcacheTransport', - 'CloudMemcacheGrpcTransport', - 'CloudMemcacheGrpcAsyncIOTransport', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py deleted file mode 100644 index 2d241a2..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/base.py +++ /dev/null @@ -1,245 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import abc -from typing import Awaitable, Callable, Dict, Optional, Sequence, Union -import pkg_resources - -import google.auth # type: ignore -import google.api_core -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.api_core import operations_v1 -from google.auth import credentials as ga_credentials # type: ignore -from google.oauth2 import service_account # type: ignore - -from google.cloud.memcache_v1.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - 'google-cloud-memcache', - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -class CloudMemcacheTransport(abc.ABC): - """Abstract transport class for CloudMemcache.""" - - AUTH_SCOPES = ( - 'https://www.googleapis.com/auth/cloud-platform', - ) - - DEFAULT_HOST: str = 'memcache.googleapis.com' - def __init__( - self, *, - host: str = DEFAULT_HOST, - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - **kwargs, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is mutually exclusive with credentials. - scopes (Optional[Sequence[str]]): A list of scopes. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - """ - - scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} - - # Save the scopes. - self._scopes = scopes - - # If no credentials are provided, then determine the appropriate - # defaults. - if credentials and credentials_file: - raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") - - if credentials_file is not None: - credentials, _ = google.auth.load_credentials_from_file( - credentials_file, - **scopes_kwargs, - quota_project_id=quota_project_id - ) - elif credentials is None: - credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) - # Don't apply audience if the credentials file passed from user. - if hasattr(credentials, "with_gdch_audience"): - credentials = credentials.with_gdch_audience(api_audience if api_audience else host) - - # If the credentials are service account credentials, then always try to use self signed JWT. - if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): - credentials = credentials.with_always_use_jwt_access(True) - - # Save the credentials. - self._credentials = credentials - - # Save the hostname. Default to port 443 (HTTPS) if none is specified. - if ':' not in host: - host += ':443' - self._host = host - - def _prep_wrapped_messages(self, client_info): - # Precompute the wrapped methods. - self._wrapped_methods = { - self.list_instances: gapic_v1.method.wrap_method( - self.list_instances, - default_timeout=1200.0, - client_info=client_info, - ), - self.get_instance: gapic_v1.method.wrap_method( - self.get_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.create_instance: gapic_v1.method.wrap_method( - self.create_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.update_instance: gapic_v1.method.wrap_method( - self.update_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.update_parameters: gapic_v1.method.wrap_method( - self.update_parameters, - default_timeout=1200.0, - client_info=client_info, - ), - self.delete_instance: gapic_v1.method.wrap_method( - self.delete_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.apply_parameters: gapic_v1.method.wrap_method( - self.apply_parameters, - default_timeout=1200.0, - client_info=client_info, - ), - } - - def close(self): - """Closes resources associated with the transport. - - .. warning:: - Only call this method if the transport is NOT shared - with other clients - this may cause errors in other clients! - """ - raise NotImplementedError() - - @property - def operations_client(self): - """Return the client designed to process long-running operations.""" - raise NotImplementedError() - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - Union[ - cloud_memcache.ListInstancesResponse, - Awaitable[cloud_memcache.ListInstancesResponse] - ]]: - raise NotImplementedError() - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - Union[ - cloud_memcache.Instance, - Awaitable[cloud_memcache.Instance] - ]]: - raise NotImplementedError() - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def kind(self) -> str: - raise NotImplementedError() - - -__all__ = ( - 'CloudMemcacheTransport', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py deleted file mode 100644 index fc10b60..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc.py +++ /dev/null @@ -1,463 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import warnings -from typing import Callable, Dict, Optional, Sequence, Tuple, Union - -from google.api_core import grpc_helpers -from google.api_core import operations_v1 -from google.api_core import gapic_v1 -import google.auth # type: ignore -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore - -import grpc # type: ignore - -from google.cloud.memcache_v1.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore -from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO - - -class CloudMemcacheGrpcTransport(CloudMemcacheTransport): - """gRPC backend transport for CloudMemcache. - - Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - - This class defines the same methods as the primary client, so the - primary client can load the underlying transport implementation - and call it. - - It sends protocol buffers over the wire using gRPC (which is built on - top of HTTP/2); the ``grpcio`` package must be installed. - """ - _stubs: Dict[str, Callable] - - def __init__(self, *, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: str = None, - scopes: Sequence[str] = None, - channel: grpc.Channel = None, - api_mtls_endpoint: str = None, - client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, - ssl_channel_credentials: grpc.ChannelCredentials = None, - client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, - quota_project_id: Optional[str] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - This argument is ignored if ``channel`` is provided. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional(Sequence[str])): A list of scopes. This argument is - ignored if ``channel`` is provided. - channel (Optional[grpc.Channel]): A ``Channel`` instance through - which to make calls. - api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. - If provided, it overrides the ``host`` argument and tries to create - a mutual TLS channel with client SSL credentials from - ``client_cert_source`` or application default SSL credentials. - client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): - Deprecated. A callback to provide client SSL certificate bytes and - private key bytes, both in PEM format. It is ignored if - ``api_mtls_endpoint`` is None. - ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials - for the grpc channel. It is ignored if ``channel`` is provided. - client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): - A callback to provide client certificate bytes and private key bytes, - both in PEM format. It is used to configure a mutual TLS channel. It is - ignored if ``channel`` or ``ssl_channel_credentials`` is provided. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport - creation failed for any reason. - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - self._grpc_channel = None - self._ssl_channel_credentials = ssl_channel_credentials - self._stubs: Dict[str, Callable] = {} - self._operations_client: Optional[operations_v1.OperationsClient] = None - - if api_mtls_endpoint: - warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) - if client_cert_source: - warnings.warn("client_cert_source is deprecated", DeprecationWarning) - - if channel: - # Ignore credentials if a channel was passed. - credentials = False - # If a channel was explicitly provided, set it. - self._grpc_channel = channel - self._ssl_channel_credentials = None - - else: - if api_mtls_endpoint: - host = api_mtls_endpoint - - # Create SSL credentials with client_cert_source or application - # default SSL credentials. - if client_cert_source: - cert, key = client_cert_source() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - else: - self._ssl_channel_credentials = SslCredentials().ssl_credentials - - else: - if client_cert_source_for_mtls and not ssl_channel_credentials: - cert, key = client_cert_source_for_mtls() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - - # The base transport sets the host, credentials and scopes - super().__init__( - host=host, - credentials=credentials, - credentials_file=credentials_file, - scopes=scopes, - quota_project_id=quota_project_id, - client_info=client_info, - always_use_jwt_access=always_use_jwt_access, - api_audience=api_audience, - ) - - if not self._grpc_channel: - self._grpc_channel = type(self).create_channel( - self._host, - # use the credentials which are saved - credentials=self._credentials, - # Set ``credentials_file`` to ``None`` here as - # the credentials that we saved earlier should be used. - credentials_file=None, - scopes=self._scopes, - ssl_credentials=self._ssl_channel_credentials, - quota_project_id=quota_project_id, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Wrap messages. This must be done after self._grpc_channel exists - self._prep_wrapped_messages(client_info) - - @classmethod - def create_channel(cls, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: str = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - **kwargs) -> grpc.Channel: - """Create and return a gRPC channel object. - Args: - host (Optional[str]): The host for the channel to use. - credentials (Optional[~.Credentials]): The - authorization credentials to attach to requests. These - credentials identify this application to the service. If - none are specified, the client will attempt to ascertain - the credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is mutually exclusive with credentials. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - kwargs (Optional[dict]): Keyword arguments, which are passed to the - channel creation. - Returns: - grpc.Channel: A gRPC channel object. - - Raises: - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - - return grpc_helpers.create_channel( - host, - credentials=credentials, - credentials_file=credentials_file, - quota_project_id=quota_project_id, - default_scopes=cls.AUTH_SCOPES, - scopes=scopes, - default_host=cls.DEFAULT_HOST, - **kwargs - ) - - @property - def grpc_channel(self) -> grpc.Channel: - """Return the channel designed to connect to this service. - """ - return self._grpc_channel - - @property - def operations_client(self) -> operations_v1.OperationsClient: - """Create the client designed to process long-running operations. - - This property caches on the instance; repeated calls return the same - client. - """ - # Quick check: Only create a new client if we do not already have one. - if self._operations_client is None: - self._operations_client = operations_v1.OperationsClient( - self.grpc_channel - ) - - # Return the client from cache. - return self._operations_client - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - cloud_memcache.ListInstancesResponse]: - r"""Return a callable for the list instances method over gRPC. - - Lists Instances in a given location. - - Returns: - Callable[[~.ListInstancesRequest], - ~.ListInstancesResponse]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'list_instances' not in self._stubs: - self._stubs['list_instances'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/ListInstances', - request_serializer=cloud_memcache.ListInstancesRequest.serialize, - response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, - ) - return self._stubs['list_instances'] - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - cloud_memcache.Instance]: - r"""Return a callable for the get instance method over gRPC. - - Gets details of a single Instance. - - Returns: - Callable[[~.GetInstanceRequest], - ~.Instance]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'get_instance' not in self._stubs: - self._stubs['get_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/GetInstance', - request_serializer=cloud_memcache.GetInstanceRequest.serialize, - response_deserializer=cloud_memcache.Instance.deserialize, - ) - return self._stubs['get_instance'] - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the create instance method over gRPC. - - Creates a new Instance in a given location. - - Returns: - Callable[[~.CreateInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'create_instance' not in self._stubs: - self._stubs['create_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/CreateInstance', - request_serializer=cloud_memcache.CreateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['create_instance'] - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the update instance method over gRPC. - - Updates an existing Instance in a given project and - location. - - Returns: - Callable[[~.UpdateInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_instance' not in self._stubs: - self._stubs['update_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/UpdateInstance', - request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_instance'] - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - operations_pb2.Operation]: - r"""Return a callable for the update parameters method over gRPC. - - Updates the defined Memcached Parameters for an - existing Instance. This method only stages the - parameters, it must be followed by ApplyParameters to - apply the parameters to nodes of the Memcached Instance. - - Returns: - Callable[[~.UpdateParametersRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_parameters' not in self._stubs: - self._stubs['update_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/UpdateParameters', - request_serializer=cloud_memcache.UpdateParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_parameters'] - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the delete instance method over gRPC. - - Deletes a single Instance. - - Returns: - Callable[[~.DeleteInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'delete_instance' not in self._stubs: - self._stubs['delete_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/DeleteInstance', - request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['delete_instance'] - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - operations_pb2.Operation]: - r"""Return a callable for the apply parameters method over gRPC. - - ApplyParameters will restart the set of specified - nodes in order to update them to the current set of - parameters for the Memcached Instance. - - Returns: - Callable[[~.ApplyParametersRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_parameters' not in self._stubs: - self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/ApplyParameters', - request_serializer=cloud_memcache.ApplyParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_parameters'] - - def close(self): - self.grpc_channel.close() - - @property - def kind(self) -> str: - return "grpc" - - -__all__ = ( - 'CloudMemcacheGrpcTransport', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py b/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py deleted file mode 100644 index fb5e898..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/services/cloud_memcache/transports/grpc_asyncio.py +++ /dev/null @@ -1,462 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import warnings -from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union - -from google.api_core import gapic_v1 -from google.api_core import grpc_helpers_async -from google.api_core import operations_v1 -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore - -import grpc # type: ignore -from grpc.experimental import aio # type: ignore - -from google.cloud.memcache_v1.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore -from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .grpc import CloudMemcacheGrpcTransport - - -class CloudMemcacheGrpcAsyncIOTransport(CloudMemcacheTransport): - """gRPC AsyncIO backend transport for CloudMemcache. - - Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - - This class defines the same methods as the primary client, so the - primary client can load the underlying transport implementation - and call it. - - It sends protocol buffers over the wire using gRPC (which is built on - top of HTTP/2); the ``grpcio`` package must be installed. - """ - - _grpc_channel: aio.Channel - _stubs: Dict[str, Callable] = {} - - @classmethod - def create_channel(cls, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - **kwargs) -> aio.Channel: - """Create and return a gRPC AsyncIO channel object. - Args: - host (Optional[str]): The host for the channel to use. - credentials (Optional[~.Credentials]): The - authorization credentials to attach to requests. These - credentials identify this application to the service. If - none are specified, the client will attempt to ascertain - the credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - kwargs (Optional[dict]): Keyword arguments, which are passed to the - channel creation. - Returns: - aio.Channel: A gRPC AsyncIO channel object. - """ - - return grpc_helpers_async.create_channel( - host, - credentials=credentials, - credentials_file=credentials_file, - quota_project_id=quota_project_id, - default_scopes=cls.AUTH_SCOPES, - scopes=scopes, - default_host=cls.DEFAULT_HOST, - **kwargs - ) - - def __init__(self, *, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - channel: aio.Channel = None, - api_mtls_endpoint: str = None, - client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, - ssl_channel_credentials: grpc.ChannelCredentials = None, - client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, - quota_project_id=None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - This argument is ignored if ``channel`` is provided. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - channel (Optional[aio.Channel]): A ``Channel`` instance through - which to make calls. - api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. - If provided, it overrides the ``host`` argument and tries to create - a mutual TLS channel with client SSL credentials from - ``client_cert_source`` or application default SSL credentials. - client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): - Deprecated. A callback to provide client SSL certificate bytes and - private key bytes, both in PEM format. It is ignored if - ``api_mtls_endpoint`` is None. - ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials - for the grpc channel. It is ignored if ``channel`` is provided. - client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): - A callback to provide client certificate bytes and private key bytes, - both in PEM format. It is used to configure a mutual TLS channel. It is - ignored if ``channel`` or ``ssl_channel_credentials`` is provided. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - - Raises: - google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport - creation failed for any reason. - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - self._grpc_channel = None - self._ssl_channel_credentials = ssl_channel_credentials - self._stubs: Dict[str, Callable] = {} - self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None - - if api_mtls_endpoint: - warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) - if client_cert_source: - warnings.warn("client_cert_source is deprecated", DeprecationWarning) - - if channel: - # Ignore credentials if a channel was passed. - credentials = False - # If a channel was explicitly provided, set it. - self._grpc_channel = channel - self._ssl_channel_credentials = None - else: - if api_mtls_endpoint: - host = api_mtls_endpoint - - # Create SSL credentials with client_cert_source or application - # default SSL credentials. - if client_cert_source: - cert, key = client_cert_source() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - else: - self._ssl_channel_credentials = SslCredentials().ssl_credentials - - else: - if client_cert_source_for_mtls and not ssl_channel_credentials: - cert, key = client_cert_source_for_mtls() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - - # The base transport sets the host, credentials and scopes - super().__init__( - host=host, - credentials=credentials, - credentials_file=credentials_file, - scopes=scopes, - quota_project_id=quota_project_id, - client_info=client_info, - always_use_jwt_access=always_use_jwt_access, - api_audience=api_audience, - ) - - if not self._grpc_channel: - self._grpc_channel = type(self).create_channel( - self._host, - # use the credentials which are saved - credentials=self._credentials, - # Set ``credentials_file`` to ``None`` here as - # the credentials that we saved earlier should be used. - credentials_file=None, - scopes=self._scopes, - ssl_credentials=self._ssl_channel_credentials, - quota_project_id=quota_project_id, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Wrap messages. This must be done after self._grpc_channel exists - self._prep_wrapped_messages(client_info) - - @property - def grpc_channel(self) -> aio.Channel: - """Create the channel designed to connect to this service. - - This property caches on the instance; repeated calls return - the same channel. - """ - # Return the channel from cache. - return self._grpc_channel - - @property - def operations_client(self) -> operations_v1.OperationsAsyncClient: - """Create the client designed to process long-running operations. - - This property caches on the instance; repeated calls return the same - client. - """ - # Quick check: Only create a new client if we do not already have one. - if self._operations_client is None: - self._operations_client = operations_v1.OperationsAsyncClient( - self.grpc_channel - ) - - # Return the client from cache. - return self._operations_client - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - Awaitable[cloud_memcache.ListInstancesResponse]]: - r"""Return a callable for the list instances method over gRPC. - - Lists Instances in a given location. - - Returns: - Callable[[~.ListInstancesRequest], - Awaitable[~.ListInstancesResponse]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'list_instances' not in self._stubs: - self._stubs['list_instances'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/ListInstances', - request_serializer=cloud_memcache.ListInstancesRequest.serialize, - response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, - ) - return self._stubs['list_instances'] - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - Awaitable[cloud_memcache.Instance]]: - r"""Return a callable for the get instance method over gRPC. - - Gets details of a single Instance. - - Returns: - Callable[[~.GetInstanceRequest], - Awaitable[~.Instance]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'get_instance' not in self._stubs: - self._stubs['get_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/GetInstance', - request_serializer=cloud_memcache.GetInstanceRequest.serialize, - response_deserializer=cloud_memcache.Instance.deserialize, - ) - return self._stubs['get_instance'] - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the create instance method over gRPC. - - Creates a new Instance in a given location. - - Returns: - Callable[[~.CreateInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'create_instance' not in self._stubs: - self._stubs['create_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/CreateInstance', - request_serializer=cloud_memcache.CreateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['create_instance'] - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the update instance method over gRPC. - - Updates an existing Instance in a given project and - location. - - Returns: - Callable[[~.UpdateInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_instance' not in self._stubs: - self._stubs['update_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/UpdateInstance', - request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_instance'] - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the update parameters method over gRPC. - - Updates the defined Memcached Parameters for an - existing Instance. This method only stages the - parameters, it must be followed by ApplyParameters to - apply the parameters to nodes of the Memcached Instance. - - Returns: - Callable[[~.UpdateParametersRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_parameters' not in self._stubs: - self._stubs['update_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/UpdateParameters', - request_serializer=cloud_memcache.UpdateParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_parameters'] - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the delete instance method over gRPC. - - Deletes a single Instance. - - Returns: - Callable[[~.DeleteInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'delete_instance' not in self._stubs: - self._stubs['delete_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/DeleteInstance', - request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['delete_instance'] - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the apply parameters method over gRPC. - - ApplyParameters will restart the set of specified - nodes in order to update them to the current set of - parameters for the Memcached Instance. - - Returns: - Callable[[~.ApplyParametersRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_parameters' not in self._stubs: - self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1.CloudMemcache/ApplyParameters', - request_serializer=cloud_memcache.ApplyParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_parameters'] - - def close(self): - return self.grpc_channel.close() - - -__all__ = ( - 'CloudMemcacheGrpcAsyncIOTransport', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py b/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py deleted file mode 100644 index 32b3497..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/types/__init__.py +++ /dev/null @@ -1,44 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from .cloud_memcache import ( - ApplyParametersRequest, - CreateInstanceRequest, - DeleteInstanceRequest, - GetInstanceRequest, - Instance, - ListInstancesRequest, - ListInstancesResponse, - MemcacheParameters, - OperationMetadata, - UpdateInstanceRequest, - UpdateParametersRequest, - MemcacheVersion, -) - -__all__ = ( - 'ApplyParametersRequest', - 'CreateInstanceRequest', - 'DeleteInstanceRequest', - 'GetInstanceRequest', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'MemcacheParameters', - 'OperationMetadata', - 'UpdateInstanceRequest', - 'UpdateParametersRequest', - 'MemcacheVersion', -) diff --git a/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py b/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py deleted file mode 100644 index f575bf7..0000000 --- a/owl-bot-staging/v1/google/cloud/memcache_v1/types/cloud_memcache.py +++ /dev/null @@ -1,656 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import proto # type: ignore - -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore - - -__protobuf__ = proto.module( - package='google.cloud.memcache.v1', - manifest={ - 'MemcacheVersion', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'GetInstanceRequest', - 'CreateInstanceRequest', - 'UpdateInstanceRequest', - 'DeleteInstanceRequest', - 'ApplyParametersRequest', - 'UpdateParametersRequest', - 'MemcacheParameters', - 'OperationMetadata', - }, -) - - -class MemcacheVersion(proto.Enum): - r"""Memcached versions supported by our service.""" - MEMCACHE_VERSION_UNSPECIFIED = 0 - MEMCACHE_1_5 = 1 - - -class Instance(proto.Message): - r""" - - Attributes: - name (str): - Required. Unique name of the resource in this scope - including project and location using the form: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note: Memcached instances are managed and addressed at - regional level so location_id here refers to a GCP region; - however, users may choose which zones Memcached nodes within - an instances should be provisioned in. Refer to [zones] - field for more details. - display_name (str): - User provided name for the instance only used - for display purposes. Cannot be more than 80 - characters. - labels (Mapping[str, str]): - Resource labels to represent user-provided - metadata. Refer to cloud documentation on labels - for more details. - https://cloud.google.com/compute/docs/labeling-resources - authorized_network (str): - The full name of the Google Compute Engine - `network `__ - to which the instance is connected. If left unspecified, the - ``default`` network will be used. - zones (Sequence[str]): - Zones where Memcached nodes should be - provisioned in. Memcached nodes will be equally - distributed across these zones. If not provided, - the service will by default create nodes in all - zones in the region for the instance. - node_count (int): - Required. Number of nodes in the Memcached - instance. - node_config (google.cloud.memcache_v1.types.Instance.NodeConfig): - Required. Configuration for Memcached nodes. - memcache_version (google.cloud.memcache_v1.types.MemcacheVersion): - The major version of Memcached software. If not provided, - latest supported version will be used. Currently the latest - supported major version is MEMCACHE_1_5. The minor version - will be automatically determined by our system based on the - latest supported minor version. - parameters (google.cloud.memcache_v1.types.MemcacheParameters): - Optional: User defined parameters to apply to - the memcached process on each node. - memcache_nodes (Sequence[google.cloud.memcache_v1.types.Instance.Node]): - Output only. List of Memcached nodes. Refer to [Node] - message for more details. - create_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. The time the instance was - created. - update_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. The time the instance was - updated. - state (google.cloud.memcache_v1.types.Instance.State): - Output only. The state of this Memcached - instance. - memcache_full_version (str): - Output only. The full version of memcached - server running on this instance. System - automatically determines the full memcached - version for an instance based on the input - MemcacheVersion. - The full version format will be - "memcached-1.5.16". - instance_messages (Sequence[google.cloud.memcache_v1.types.Instance.InstanceMessage]): - List of messages that describe current - statuses of memcached instance. - discovery_endpoint (str): - Output only. Endpoint for Discovery API - """ - class State(proto.Enum): - r"""Different states of a Memcached instance.""" - STATE_UNSPECIFIED = 0 - CREATING = 1 - READY = 2 - DELETING = 4 - PERFORMING_MAINTENANCE = 5 - - class NodeConfig(proto.Message): - r"""Configuration for a Memcached Node. - - Attributes: - cpu_count (int): - Required. Number of cpus per Memcached node. - memory_size_mb (int): - Required. Memory size in MiB for each - Memcached node. - """ - - cpu_count = proto.Field( - proto.INT32, - number=1, - ) - memory_size_mb = proto.Field( - proto.INT32, - number=2, - ) - - class Node(proto.Message): - r""" - - Attributes: - node_id (str): - Output only. Identifier of the Memcached - node. The node id does not include project or - location like the Memcached instance name. - zone (str): - Output only. Location (GCP Zone) for the - Memcached node. - state (google.cloud.memcache_v1.types.Instance.Node.State): - Output only. Current state of the Memcached - node. - host (str): - Output only. Hostname or IP address of the - Memcached node used by the clients to connect to - the Memcached server on this node. - port (int): - Output only. The port number of the Memcached - server on this node. - parameters (google.cloud.memcache_v1.types.MemcacheParameters): - User defined parameters currently applied to - the node. - """ - class State(proto.Enum): - r"""Different states of a Memcached node.""" - STATE_UNSPECIFIED = 0 - CREATING = 1 - READY = 2 - DELETING = 3 - UPDATING = 4 - - node_id = proto.Field( - proto.STRING, - number=1, - ) - zone = proto.Field( - proto.STRING, - number=2, - ) - state = proto.Field( - proto.ENUM, - number=3, - enum='Instance.Node.State', - ) - host = proto.Field( - proto.STRING, - number=4, - ) - port = proto.Field( - proto.INT32, - number=5, - ) - parameters = proto.Field( - proto.MESSAGE, - number=6, - message='MemcacheParameters', - ) - - class InstanceMessage(proto.Message): - r""" - - Attributes: - code (google.cloud.memcache_v1.types.Instance.InstanceMessage.Code): - A code that correspond to one type of - user-facing message. - message (str): - Message on memcached instance which will be - exposed to users. - """ - class Code(proto.Enum): - r"""""" - CODE_UNSPECIFIED = 0 - ZONE_DISTRIBUTION_UNBALANCED = 1 - - code = proto.Field( - proto.ENUM, - number=1, - enum='Instance.InstanceMessage.Code', - ) - message = proto.Field( - proto.STRING, - number=2, - ) - - name = proto.Field( - proto.STRING, - number=1, - ) - display_name = proto.Field( - proto.STRING, - number=2, - ) - labels = proto.MapField( - proto.STRING, - proto.STRING, - number=3, - ) - authorized_network = proto.Field( - proto.STRING, - number=4, - ) - zones = proto.RepeatedField( - proto.STRING, - number=5, - ) - node_count = proto.Field( - proto.INT32, - number=6, - ) - node_config = proto.Field( - proto.MESSAGE, - number=7, - message=NodeConfig, - ) - memcache_version = proto.Field( - proto.ENUM, - number=9, - enum='MemcacheVersion', - ) - parameters = proto.Field( - proto.MESSAGE, - number=11, - message='MemcacheParameters', - ) - memcache_nodes = proto.RepeatedField( - proto.MESSAGE, - number=12, - message=Node, - ) - create_time = proto.Field( - proto.MESSAGE, - number=13, - message=timestamp_pb2.Timestamp, - ) - update_time = proto.Field( - proto.MESSAGE, - number=14, - message=timestamp_pb2.Timestamp, - ) - state = proto.Field( - proto.ENUM, - number=15, - enum=State, - ) - memcache_full_version = proto.Field( - proto.STRING, - number=18, - ) - instance_messages = proto.RepeatedField( - proto.MESSAGE, - number=19, - message=InstanceMessage, - ) - discovery_endpoint = proto.Field( - proto.STRING, - number=20, - ) - - -class ListInstancesRequest(proto.Message): - r"""Request for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - - Attributes: - parent (str): - Required. The resource name of the instance location using - the form: ``projects/{project_id}/locations/{location_id}`` - where ``location_id`` refers to a GCP region - page_size (int): - The maximum number of items to return. - - If not specified, a default value of 1000 will be used by - the service. Regardless of the page_size value, the response - may include a partial list and a caller should only rely on - response's - [next_page_token][CloudMemcache.ListInstancesResponse.next_page_token] - to determine if there are more instances left to be queried. - page_token (str): - The next_page_token value returned from a previous List - request, if any. - filter (str): - List filter. For example, exclude all - Memcached instances with name as my-instance by - specifying "name != my-instance". - order_by (str): - Sort results. Supported values are "name", - "name desc" or "" (unsorted). - """ - - parent = proto.Field( - proto.STRING, - number=1, - ) - page_size = proto.Field( - proto.INT32, - number=2, - ) - page_token = proto.Field( - proto.STRING, - number=3, - ) - filter = proto.Field( - proto.STRING, - number=4, - ) - order_by = proto.Field( - proto.STRING, - number=5, - ) - - -class ListInstancesResponse(proto.Message): - r"""Response for - [ListInstances][google.cloud.memcache.v1.CloudMemcache.ListInstances]. - - Attributes: - instances (Sequence[google.cloud.memcache_v1.types.Instance]): - A list of Memcached instances in the project in the - specified location, or across all locations. - - If the ``location_id`` in the parent field of the request is - "-", all regions available to the project are queried, and - the results aggregated. - next_page_token (str): - Token to retrieve the next page of results, - or empty if there are no more results in the - list. - unreachable (Sequence[str]): - Locations that could not be reached. - """ - - @property - def raw_page(self): - return self - - instances = proto.RepeatedField( - proto.MESSAGE, - number=1, - message='Instance', - ) - next_page_token = proto.Field( - proto.STRING, - number=2, - ) - unreachable = proto.RepeatedField( - proto.STRING, - number=3, - ) - - -class GetInstanceRequest(proto.Message): - r"""Request for - [GetInstance][google.cloud.memcache.v1.CloudMemcache.GetInstance]. - - Attributes: - name (str): - Required. Memcached instance resource name in the format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - - -class CreateInstanceRequest(proto.Message): - r"""Request for - [CreateInstance][google.cloud.memcache.v1.CloudMemcache.CreateInstance]. - - Attributes: - parent (str): - Required. The resource name of the instance location using - the form: ``projects/{project_id}/locations/{location_id}`` - where ``location_id`` refers to a GCP region - instance_id (str): - Required. The logical name of the Memcached instance in the - user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location - - If any of the above are not met, will raise an invalid - argument error. - instance (google.cloud.memcache_v1.types.Instance): - Required. A Memcached Instance - """ - - parent = proto.Field( - proto.STRING, - number=1, - ) - instance_id = proto.Field( - proto.STRING, - number=2, - ) - instance = proto.Field( - proto.MESSAGE, - number=3, - message='Instance', - ) - - -class UpdateInstanceRequest(proto.Message): - r"""Request for - [UpdateInstance][google.cloud.memcache.v1.CloudMemcache.UpdateInstance]. - - Attributes: - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - - - ``displayName`` - instance (google.cloud.memcache_v1.types.Instance): - Required. A Memcached Instance. Only fields specified in - update_mask are updated. - """ - - update_mask = proto.Field( - proto.MESSAGE, - number=1, - message=field_mask_pb2.FieldMask, - ) - instance = proto.Field( - proto.MESSAGE, - number=2, - message='Instance', - ) - - -class DeleteInstanceRequest(proto.Message): - r"""Request for - [DeleteInstance][google.cloud.memcache.v1.CloudMemcache.DeleteInstance]. - - Attributes: - name (str): - Required. Memcached instance resource name in the format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - - -class ApplyParametersRequest(proto.Message): - r"""Request for - [ApplyParameters][google.cloud.memcache.v1.CloudMemcache.ApplyParameters]. - - Attributes: - name (str): - Required. Resource name of the Memcached - instance for which parameter group updates - should be applied. - node_ids (Sequence[str]): - Nodes to which we should apply the - instance-level parameter group. - apply_all (bool): - Whether to apply instance-level parameter - group to all nodes. If set to true, will - explicitly restrict users from specifying any - nodes, and apply parameter group updates to all - nodes within the instance. - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - node_ids = proto.RepeatedField( - proto.STRING, - number=2, - ) - apply_all = proto.Field( - proto.BOOL, - number=3, - ) - - -class UpdateParametersRequest(proto.Message): - r"""Request for - [UpdateParameters][google.cloud.memcache.v1.CloudMemcache.UpdateParameters]. - - Attributes: - name (str): - Required. Resource name of the Memcached - instance for which the parameters should be - updated. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - parameters (google.cloud.memcache_v1.types.MemcacheParameters): - The parameters to apply to the instance. - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - update_mask = proto.Field( - proto.MESSAGE, - number=2, - message=field_mask_pb2.FieldMask, - ) - parameters = proto.Field( - proto.MESSAGE, - number=3, - message='MemcacheParameters', - ) - - -class MemcacheParameters(proto.Message): - r""" - - Attributes: - id (str): - Output only. The unique ID associated with - this set of parameters. Users can use this id to - determine if the parameters associated with the - instance differ from the parameters associated - with the nodes and any action needs to be taken - to apply parameters on nodes. - params (Mapping[str, str]): - User defined set of parameters to use in the - memcached process. - """ - - id = proto.Field( - proto.STRING, - number=1, - ) - params = proto.MapField( - proto.STRING, - proto.STRING, - number=3, - ) - - -class OperationMetadata(proto.Message): - r"""Represents the metadata of a long-running operation. - - Attributes: - create_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. Time when the operation was - created. - end_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. Time when the operation finished - running. - target (str): - Output only. Server-defined resource path for - the target of the operation. - verb (str): - Output only. Name of the verb executed by the - operation. - status_detail (str): - Output only. Human-readable status of the - operation, if any. - cancel_requested (bool): - Output only. Identifies whether the user has requested - cancellation of the operation. Operations that have - successfully been cancelled have [Operation.error][] value - with a [google.rpc.Status.code][google.rpc.Status.code] of - 1, corresponding to ``Code.CANCELLED``. - api_version (str): - Output only. API version used to start the - operation. - """ - - create_time = proto.Field( - proto.MESSAGE, - number=1, - message=timestamp_pb2.Timestamp, - ) - end_time = proto.Field( - proto.MESSAGE, - number=2, - message=timestamp_pb2.Timestamp, - ) - target = proto.Field( - proto.STRING, - number=3, - ) - verb = proto.Field( - proto.STRING, - number=4, - ) - status_detail = proto.Field( - proto.STRING, - number=5, - ) - cancel_requested = proto.Field( - proto.BOOL, - number=6, - ) - api_version = proto.Field( - proto.STRING, - number=7, - ) - - -__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/v1/mypy.ini b/owl-bot-staging/v1/mypy.ini deleted file mode 100644 index 4505b48..0000000 --- a/owl-bot-staging/v1/mypy.ini +++ /dev/null @@ -1,3 +0,0 @@ -[mypy] -python_version = 3.6 -namespace_packages = True diff --git a/owl-bot-staging/v1/noxfile.py b/owl-bot-staging/v1/noxfile.py deleted file mode 100644 index 6092e7d..0000000 --- a/owl-bot-staging/v1/noxfile.py +++ /dev/null @@ -1,180 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import os -import pathlib -import shutil -import subprocess -import sys - - -import nox # type: ignore - -ALL_PYTHON = [ - "3.6", - "3.7", - "3.8", - "3.9", - "3.10", -] - -CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() - -LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" -PACKAGE_NAME = subprocess.check_output([sys.executable, "setup.py", "--name"], encoding="utf-8") - -BLACK_VERSION = "black==19.10b0" -BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] -DEFAULT_PYTHON_VERSION = "3.9" - -nox.sessions = [ - "unit", - "cover", - "mypy", - "check_lower_bounds" - # exclude update_lower_bounds from default - "docs", - "blacken", - "lint", - "lint_setup_py", -] - -@nox.session(python=ALL_PYTHON) -def unit(session): - """Run the unit test suite.""" - - session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') - session.install('-e', '.') - - session.run( - 'py.test', - '--quiet', - '--cov=google/cloud/memcache_v1/', - '--cov=tests/', - '--cov-config=.coveragerc', - '--cov-report=term', - '--cov-report=html', - os.path.join('tests', 'unit', ''.join(session.posargs)) - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def cover(session): - """Run the final coverage report. - This outputs the coverage report aggregating coverage from the unit - test runs (not system test runs), and then erases coverage data. - """ - session.install("coverage", "pytest-cov") - session.run("coverage", "report", "--show-missing", "--fail-under=100") - - session.run("coverage", "erase") - - -@nox.session(python=ALL_PYTHON) -def mypy(session): - """Run the type checker.""" - session.install('mypy', 'types-pkg_resources') - session.install('.') - session.run( - 'mypy', - '--explicit-package-bases', - 'google', - ) - - -@nox.session -def update_lower_bounds(session): - """Update lower bounds in constraints.txt to match setup.py""" - session.install('google-cloud-testutils') - session.install('.') - - session.run( - 'lower-bound-checker', - 'update', - '--package-name', - PACKAGE_NAME, - '--constraints-file', - str(LOWER_BOUND_CONSTRAINTS_FILE), - ) - - -@nox.session -def check_lower_bounds(session): - """Check lower bounds in setup.py are reflected in constraints file""" - session.install('google-cloud-testutils') - session.install('.') - - session.run( - 'lower-bound-checker', - 'check', - '--package-name', - PACKAGE_NAME, - '--constraints-file', - str(LOWER_BOUND_CONSTRAINTS_FILE), - ) - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def docs(session): - """Build the docs for this library.""" - - session.install("-e", ".") - session.install("sphinx==4.0.1", "alabaster", "recommonmark") - - shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) - session.run( - "sphinx-build", - "-W", # warnings as errors - "-T", # show full traceback on exception - "-N", # no colors - "-b", - "html", - "-d", - os.path.join("docs", "_build", "doctrees", ""), - os.path.join("docs", ""), - os.path.join("docs", "_build", "html", ""), - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def lint(session): - """Run linters. - - Returns a failure if the linters find linting errors or sufficiently - serious code quality issues. - """ - session.install("flake8", BLACK_VERSION) - session.run( - "black", - "--check", - *BLACK_PATHS, - ) - session.run("flake8", "google", "tests", "samples") - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def blacken(session): - """Run black. Format code to uniform standard.""" - session.install(BLACK_VERSION) - session.run( - "black", - *BLACK_PATHS, - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def lint_setup_py(session): - """Verify that setup.py is valid (including RST check).""" - session.install("docutils", "pygments") - session.run("python", "setup.py", "check", "--restructuredtext", "--strict") diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py deleted file mode 100644 index dccf400..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplyParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_ApplyParameters_async] -from google.cloud import memcache_v1 - - -async def sample_apply_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_ApplyParameters_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py deleted file mode 100644 index f6a6bd9..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_apply_parameters_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplyParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_ApplyParameters_sync] -from google.cloud import memcache_v1 - - -def sample_apply_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_ApplyParameters_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py deleted file mode 100644 index 44f2f0b..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_async.py +++ /dev/null @@ -1,57 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for CreateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_CreateInstance_async] -from google.cloud import memcache_v1 - - -async def sample_create_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - instance=instance, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_CreateInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py deleted file mode 100644 index 3be4489..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_create_instance_sync.py +++ /dev/null @@ -1,57 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for CreateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_CreateInstance_sync] -from google.cloud import memcache_v1 - - -def sample_create_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - instance=instance, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_CreateInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py deleted file mode 100644 index 754d26f..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for DeleteInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_DeleteInstance_async] -from google.cloud import memcache_v1 - - -async def sample_delete_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_DeleteInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py deleted file mode 100644 index 767510e..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_delete_instance_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for DeleteInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_DeleteInstance_sync] -from google.cloud import memcache_v1 - - -def sample_delete_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_DeleteInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py deleted file mode 100644 index f562215..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_async.py +++ /dev/null @@ -1,45 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for GetInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_GetInstance_async] -from google.cloud import memcache_v1 - - -async def sample_get_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = await client.get_instance(request=request) - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_GetInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py deleted file mode 100644 index c470181..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_get_instance_sync.py +++ /dev/null @@ -1,45 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for GetInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_GetInstance_sync] -from google.cloud import memcache_v1 - - -def sample_get_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = client.get_instance(request=request) - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_GetInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py deleted file mode 100644 index 7516120..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_async.py +++ /dev/null @@ -1,46 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ListInstances -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_ListInstances_async] -from google.cloud import memcache_v1 - - -async def sample_list_instances(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - async for response in page_result: - print(response) - -# [END memcache_v1_generated_CloudMemcache_ListInstances_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py deleted file mode 100644 index c5ee139..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_list_instances_sync.py +++ /dev/null @@ -1,46 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ListInstances -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_ListInstances_sync] -from google.cloud import memcache_v1 - - -def sample_list_instances(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - for response in page_result: - print(response) - -# [END memcache_v1_generated_CloudMemcache_ListInstances_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py deleted file mode 100644 index e078aeb..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_async.py +++ /dev/null @@ -1,55 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_UpdateInstance_async] -from google.cloud import memcache_v1 - - -async def sample_update_instance(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.UpdateInstanceRequest( - instance=instance, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_UpdateInstance_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py deleted file mode 100644 index 711c064..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_instance_sync.py +++ /dev/null @@ -1,55 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_UpdateInstance_sync] -from google.cloud import memcache_v1 - - -def sample_update_instance(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - instance = memcache_v1.Instance() - instance.name = "name_value" - instance.node_count = 1070 - instance.node_config.cpu_count = 976 - instance.node_config.memory_size_mb = 1505 - - request = memcache_v1.UpdateInstanceRequest( - instance=instance, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_UpdateInstance_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py deleted file mode 100644 index 9020743..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_UpdateParameters_async] -from google.cloud import memcache_v1 - - -async def sample_update_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_UpdateParameters_async] diff --git a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py b/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py deleted file mode 100644 index 4044531..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/memcache_v1_generated_cloud_memcache_update_parameters_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1_generated_CloudMemcache_UpdateParameters_sync] -from google.cloud import memcache_v1 - - -def sample_update_parameters(): - # Create a client - client = memcache_v1.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1_generated_CloudMemcache_UpdateParameters_sync] diff --git a/owl-bot-staging/v1/samples/generated_samples/snippet_metadata_memcache_v1.json b/owl-bot-staging/v1/samples/generated_samples/snippet_metadata_memcache_v1.json deleted file mode 100644 index 754496a..0000000 --- a/owl-bot-staging/v1/samples/generated_samples/snippet_metadata_memcache_v1.json +++ /dev/null @@ -1,1197 +0,0 @@ -{ - 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}, - { - "end": 45, - "start": 39, - "type": "REQUEST_EXECUTION" - }, - { - "end": 49, - "start": 46, - "type": "RESPONSE_HANDLING" - } - ], - "title": "memcache_v1_generated_cloud_memcache_update_parameters_sync.py" - } - ] -} diff --git a/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py b/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py deleted file mode 100644 index 84308d4..0000000 --- a/owl-bot-staging/v1/scripts/fixup_memcache_v1_keywords.py +++ /dev/null @@ -1,182 +0,0 @@ -#! /usr/bin/env python3 -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import argparse -import os -import libcst as cst -import pathlib -import sys -from typing import (Any, Callable, Dict, List, Sequence, Tuple) - - -def partition( - predicate: Callable[[Any], bool], - iterator: Sequence[Any] -) -> Tuple[List[Any], List[Any]]: - """A stable, out-of-place partition.""" - results = ([], []) - - for i in iterator: - results[int(predicate(i))].append(i) - - # Returns trueList, falseList - return results[1], results[0] - - -class memcacheCallTransformer(cst.CSTTransformer): - CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') - METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { - 'apply_parameters': ('name', 'node_ids', 'apply_all', ), - 'create_instance': ('parent', 'instance_id', 'instance', ), - 'delete_instance': ('name', ), - 'get_instance': ('name', ), - 'list_instances': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ), - 'update_instance': ('update_mask', 'instance', ), - 'update_parameters': ('name', 'update_mask', 'parameters', ), - } - - def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: - try: - key = original.func.attr.value - kword_params = self.METHOD_TO_PARAMS[key] - except (AttributeError, KeyError): - # Either not a method from the API or too convoluted to be sure. - return updated - - # If the existing code is valid, keyword args come after positional args. - # Therefore, all positional args must map to the first parameters. - args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) - if any(k.keyword.value == "request" for k in kwargs): - # We've already fixed this file, don't fix it again. - return updated - - kwargs, ctrl_kwargs = partition( - lambda a: a.keyword.value not in self.CTRL_PARAMS, - kwargs - ) - - args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] - ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) - for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) - - request_arg = cst.Arg( - value=cst.Dict([ - cst.DictElement( - cst.SimpleString("'{}'".format(name)), -cst.Element(value=arg.value) - ) - # Note: the args + kwargs looks silly, but keep in mind that - # the control parameters had to be stripped out, and that - # those could have been passed positionally or by keyword. - for name, arg in zip(kword_params, args + kwargs)]), - keyword=cst.Name("request") - ) - - return updated.with_changes( - args=[request_arg] + ctrl_kwargs - ) - - -def fix_files( - in_dir: pathlib.Path, - out_dir: pathlib.Path, - *, - transformer=memcacheCallTransformer(), -): - """Duplicate the input dir to the output dir, fixing file method calls. - - Preconditions: - * in_dir is a real directory - * out_dir is a real, empty directory - """ - pyfile_gen = ( - pathlib.Path(os.path.join(root, f)) - for root, _, files in os.walk(in_dir) - for f in files if os.path.splitext(f)[1] == ".py" - ) - - for fpath in pyfile_gen: - with open(fpath, 'r') as f: - src = f.read() - - # Parse the code and insert method call fixes. - tree = cst.parse_module(src) - updated = tree.visit(transformer) - - # Create the path and directory structure for the new file. - updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) - updated_path.parent.mkdir(parents=True, exist_ok=True) - - # Generate the updated source file at the corresponding path. - with open(updated_path, 'w') as f: - f.write(updated.code) - - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description="""Fix up source that uses the memcache client library. - -The existing sources are NOT overwritten but are copied to output_dir with changes made. - -Note: This tool operates at a best-effort level at converting positional - parameters in client method calls to keyword based parameters. - Cases where it WILL FAIL include - A) * or ** expansion in a method call. - B) Calls via function or method alias (includes free function calls) - C) Indirect or dispatched calls (e.g. the method is looked up dynamically) - - These all constitute false negatives. The tool will also detect false - positives when an API method shares a name with another method. -""") - parser.add_argument( - '-d', - '--input-directory', - required=True, - dest='input_dir', - help='the input directory to walk for python files to fix up', - ) - parser.add_argument( - '-o', - '--output-directory', - required=True, - dest='output_dir', - help='the directory to output files fixed via un-flattening', - ) - args = parser.parse_args() - input_dir = pathlib.Path(args.input_dir) - output_dir = pathlib.Path(args.output_dir) - if not input_dir.is_dir(): - print( - f"input directory '{input_dir}' does not exist or is not a directory", - file=sys.stderr, - ) - sys.exit(-1) - - if not output_dir.is_dir(): - print( - f"output directory '{output_dir}' does not exist or is not a directory", - file=sys.stderr, - ) - sys.exit(-1) - - if os.listdir(output_dir): - print( - f"output directory '{output_dir}' is not empty", - file=sys.stderr, - ) - sys.exit(-1) - - fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/v1/setup.py b/owl-bot-staging/v1/setup.py deleted file mode 100644 index a22e368..0000000 --- a/owl-bot-staging/v1/setup.py +++ /dev/null @@ -1,59 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import io -import os -import setuptools # type: ignore - -version = '0.1.0' - -package_root = os.path.abspath(os.path.dirname(__file__)) - -readme_filename = os.path.join(package_root, 'README.rst') -with io.open(readme_filename, encoding='utf-8') as readme_file: - readme = readme_file.read() - -setuptools.setup( - name='google-cloud-memcache', - author="Google LLC", - author_email="googleapis-packages@google.com", - url="https://github.com/googleapis/python-google-cloud-memcache", - version=version, - long_description=readme, - packages=setuptools.PEP420PackageFinder.find(), - namespace_packages=('google', 'google.cloud'), - platforms='Posix; MacOS X; Windows', - include_package_data=True, - install_requires=( - 'google-api-core[grpc] >= 2.8.0, < 3.0.0dev', - 'libcst >= 0.2.5', - 'googleapis-common-protos >= 1.55.0, <2.0.0dev', - 'proto-plus >= 1.19.7', - ), - python_requires='>=3.6', - classifiers=[ - 'Development Status :: 3 - Alpha', - 'Intended Audience :: Developers', - 'Operating System :: OS Independent', - 'Programming Language :: Python :: 3.6', - 'Programming Language :: Python :: 3.7', - 'Programming Language :: Python :: 3.8', - 'Programming Language :: Python :: 3.9', - 'Programming Language :: Python :: 3.10', - 'Topic :: Internet', - 'Topic :: Software Development :: Libraries :: Python Modules', - ], - zip_safe=False, -) diff --git a/owl-bot-staging/v1/tests/__init__.py b/owl-bot-staging/v1/tests/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1/tests/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1/tests/unit/__init__.py b/owl-bot-staging/v1/tests/unit/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1/tests/unit/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1/tests/unit/gapic/__init__.py b/owl-bot-staging/v1/tests/unit/gapic/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1/tests/unit/gapic/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py b/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py deleted file mode 100644 index 4d482bc..0000000 --- a/owl-bot-staging/v1/tests/unit/gapic/memcache_v1/test_cloud_memcache.py +++ /dev/null @@ -1,3119 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import os -# try/except added for compatibility with python < 3.8 -try: - from unittest import mock - from unittest.mock import AsyncMock -except ImportError: - import mock - -import grpc -from grpc.experimental import aio -import math -import pytest -from proto.marshal.rules.dates import DurationRule, TimestampRule - - -from google.api_core import client_options -from google.api_core import exceptions as core_exceptions -from google.api_core import future -from google.api_core import gapic_v1 -from google.api_core import grpc_helpers -from google.api_core import grpc_helpers_async -from google.api_core import operation -from google.api_core import operation_async # type: ignore -from google.api_core import operations_v1 -from google.api_core import path_template -from google.auth import credentials as ga_credentials -from google.auth.exceptions import MutualTLSChannelError -from google.cloud.memcache_v1.services.cloud_memcache import CloudMemcacheAsyncClient -from google.cloud.memcache_v1.services.cloud_memcache import CloudMemcacheClient -from google.cloud.memcache_v1.services.cloud_memcache import pagers -from google.cloud.memcache_v1.services.cloud_memcache import transports -from google.cloud.memcache_v1.types import cloud_memcache -from google.longrunning import operations_pb2 -from google.oauth2 import service_account -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -import google.auth - - -def client_cert_source_callback(): - return b"cert bytes", b"key bytes" - - -# If default endpoint is localhost, then default mtls endpoint will be the same. -# This method modifies the default endpoint so the client can produce a different -# mtls endpoint for endpoint testing purposes. -def modify_default_endpoint(client): - return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT - - -def test__get_default_mtls_endpoint(): - api_endpoint = "example.googleapis.com" - api_mtls_endpoint = "example.mtls.googleapis.com" - sandbox_endpoint = "example.sandbox.googleapis.com" - sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" - non_googleapi = "api.example.com" - - assert CloudMemcacheClient._get_default_mtls_endpoint(None) is None - assert CloudMemcacheClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi - - -@pytest.mark.parametrize("client_class,transport_name", [ - (CloudMemcacheClient, "grpc"), - (CloudMemcacheAsyncClient, "grpc_asyncio"), -]) -def test_cloud_memcache_client_from_service_account_info(client_class, transport_name): - creds = ga_credentials.AnonymousCredentials() - with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: - factory.return_value = creds - info = {"valid": True} - client = client_class.from_service_account_info(info, transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - - -@pytest.mark.parametrize("transport_class,transport_name", [ - (transports.CloudMemcacheGrpcTransport, "grpc"), - (transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -def test_cloud_memcache_client_service_account_always_use_jwt(transport_class, transport_name): - with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: - creds = service_account.Credentials(None, None, None) - transport = transport_class(credentials=creds, always_use_jwt_access=True) - use_jwt.assert_called_once_with(True) - - with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: - creds = service_account.Credentials(None, None, None) - transport = transport_class(credentials=creds, always_use_jwt_access=False) - use_jwt.assert_not_called() - - -@pytest.mark.parametrize("client_class,transport_name", [ - (CloudMemcacheClient, "grpc"), - (CloudMemcacheAsyncClient, "grpc_asyncio"), -]) -def test_cloud_memcache_client_from_service_account_file(client_class, transport_name): - creds = ga_credentials.AnonymousCredentials() - with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: - factory.return_value = creds - client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - - -def test_cloud_memcache_client_get_transport_class(): - transport = CloudMemcacheClient.get_transport_class() - available_transports = [ - transports.CloudMemcacheGrpcTransport, - ] - assert transport in available_transports - - transport = CloudMemcacheClient.get_transport_class("grpc") - assert transport == transports.CloudMemcacheGrpcTransport - - -@pytest.mark.parametrize("client_class,transport_class,transport_name", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -def test_cloud_memcache_client_client_options(client_class, transport_class, transport_name): - # Check that if channel is provided we won't create a new one. - with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: - transport = transport_class( - credentials=ga_credentials.AnonymousCredentials() - ) - client = client_class(transport=transport) - gtc.assert_not_called() - - # Check that if channel is provided via str we will create a new one. - with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: - client = client_class(transport=transport_name) - gtc.assert_called() - - # Check the case api_endpoint is provided. - options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name, client_options=options) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host="squid.clam.whelk", - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is - # "never". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is - # "always". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_MTLS_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has - # unsupported value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): - with pytest.raises(MutualTLSChannelError): - client = client_class(transport=transport_name) - - # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): - with pytest.raises(ValueError): - client = client_class(transport=transport_name) - - # Check the case quota_project_id is provided - options = client_options.ClientOptions(quota_project_id="octopus") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id="octopus", - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - # Check the case api_endpoint is provided - options = client_options.ClientOptions(api_audience="https://language.googleapis.com") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience="https://language.googleapis.com" - ) - -@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "true"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "true"), - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "false"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "false"), -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) -def test_cloud_memcache_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): - # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default - # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. - - # Check the case client_cert_source is provided. Whether client cert is used depends on - # GOOGLE_API_USE_CLIENT_CERTIFICATE value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - - if use_client_cert_env == "false": - expected_client_cert_source = None - expected_host = client.DEFAULT_ENDPOINT - else: - expected_client_cert_source = client_cert_source_callback - expected_host = client.DEFAULT_MTLS_ENDPOINT - - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=expected_host, - scopes=None, - client_cert_source_for_mtls=expected_client_cert_source, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case ADC client cert is provided. Whether client cert is used depends on - # GOOGLE_API_USE_CLIENT_CERTIFICATE value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - with mock.patch.object(transport_class, '__init__') as patched: - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): - with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): - if use_client_cert_env == "false": - expected_host = client.DEFAULT_ENDPOINT - expected_client_cert_source = None - else: - expected_host = client.DEFAULT_MTLS_ENDPOINT - expected_client_cert_source = client_cert_source_callback - - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=expected_host, - scopes=None, - client_cert_source_for_mtls=expected_client_cert_source, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case client_cert_source and ADC client cert are not provided. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - with mock.patch.object(transport_class, '__init__') as patched: - with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - -@pytest.mark.parametrize("client_class", [ - CloudMemcacheClient, CloudMemcacheAsyncClient -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -def test_cloud_memcache_client_get_mtls_endpoint_and_cert_source(client_class): - mock_client_cert_source = mock.Mock() - - # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - mock_api_endpoint = "foo" - options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) - assert api_endpoint == mock_api_endpoint - assert cert_source == mock_client_cert_source - - # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): - mock_client_cert_source = mock.Mock() - mock_api_endpoint = "foo" - options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) - assert api_endpoint == mock_api_endpoint - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): - with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT - assert cert_source == mock_client_cert_source - - -@pytest.mark.parametrize("client_class,transport_class,transport_name", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -def test_cloud_memcache_client_client_options_scopes(client_class, transport_class, transport_name): - # Check the case scopes are provided. - options = client_options.ClientOptions( - scopes=["1", "2"], - ) - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=["1", "2"], - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - -@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), -]) -def test_cloud_memcache_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): - # Check the case credentials file is provided. - options = client_options.ClientOptions( - credentials_file="credentials.json" - ) - - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file="credentials.json", - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - -def test_cloud_memcache_client_client_options_from_dict(): - with mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__') as grpc_transport: - grpc_transport.return_value = None - client = CloudMemcacheClient( - client_options={'api_endpoint': 'squid.clam.whelk'} - ) - grpc_transport.assert_called_once_with( - credentials=None, - credentials_file=None, - host="squid.clam.whelk", - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - -@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), -]) -def test_cloud_memcache_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): - # Check the case credentials file is provided. - options = client_options.ClientOptions( - credentials_file="credentials.json" - ) - - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file="credentials.json", - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # test that the credentials from file are saved and used as the credentials. - with mock.patch.object( - google.auth, "load_credentials_from_file", autospec=True - ) as load_creds, mock.patch.object( - google.auth, "default", autospec=True - ) as adc, mock.patch.object( - grpc_helpers, "create_channel" - ) as create_channel: - creds = ga_credentials.AnonymousCredentials() - file_creds = ga_credentials.AnonymousCredentials() - load_creds.return_value = (file_creds, None) - adc.return_value = (creds, None) - client = client_class(client_options=options, transport=transport_name) - create_channel.assert_called_with( - "memcache.googleapis.com:443", - credentials=file_creds, - credentials_file=None, - quota_project_id=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - scopes=None, - default_host="memcache.googleapis.com", - ssl_credentials=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.ListInstancesRequest, - dict, -]) -def test_list_instances(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse( - next_page_token='next_page_token_value', - unreachable=['unreachable_value'], - ) - response = client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, pagers.ListInstancesPager) - assert response.next_page_token == 'next_page_token_value' - assert response.unreachable == ['unreachable_value'] - - -def test_list_instances_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - client.list_instances() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - -@pytest.mark.asyncio -async def test_list_instances_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ListInstancesRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse( - next_page_token='next_page_token_value', - unreachable=['unreachable_value'], - )) - response = await client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, pagers.ListInstancesAsyncPager) - assert response.next_page_token == 'next_page_token_value' - assert response.unreachable == ['unreachable_value'] - - -@pytest.mark.asyncio -async def test_list_instances_async_from_dict(): - await test_list_instances_async(request_type=dict) - - -def test_list_instances_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ListInstancesRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - call.return_value = cloud_memcache.ListInstancesResponse() - client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_list_instances_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ListInstancesRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) - await client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -def test_list_instances_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse() - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.list_instances( - parent='parent_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - - -def test_list_instances_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.list_instances( - cloud_memcache.ListInstancesRequest(), - parent='parent_value', - ) - -@pytest.mark.asyncio -async def test_list_instances_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse() - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.list_instances( - parent='parent_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_list_instances_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.list_instances( - cloud_memcache.ListInstancesRequest(), - parent='parent_value', - ) - - -def test_list_instances_pager(transport_name: str = "grpc"): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials, - transport=transport_name, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - instances=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - - metadata = () - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ('parent', ''), - )), - ) - pager = client.list_instances(request={}) - - assert pager._metadata == metadata - - results = list(pager) - assert len(results) == 6 - assert all(isinstance(i, cloud_memcache.Instance) - for i in results) -def test_list_instances_pages(transport_name: str = "grpc"): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials, - transport=transport_name, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - instances=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - pages = list(client.list_instances(request={}).pages) - for page_, token in zip(pages, ['abc','def','ghi', '']): - assert page_.raw_page.next_page_token == token - -@pytest.mark.asyncio -async def test_list_instances_async_pager(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__', new_callable=mock.AsyncMock) as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - instances=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - async_pager = await client.list_instances(request={},) - assert async_pager.next_page_token == 'abc' - responses = [] - async for response in async_pager: # pragma: no branch - responses.append(response) - - assert len(responses) == 6 - assert all(isinstance(i, cloud_memcache.Instance) - for i in responses) - - -@pytest.mark.asyncio -async def test_list_instances_async_pages(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__', new_callable=mock.AsyncMock) as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - instances=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - instances=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - pages = [] - async for page_ in (await client.list_instances(request={})).pages: # pragma: no branch - pages.append(page_) - for page_, token in zip(pages, ['abc','def','ghi', '']): - assert page_.raw_page.next_page_token == token - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.GetInstanceRequest, - dict, -]) -def test_get_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance( - name='name_value', - display_name='display_name_value', - authorized_network='authorized_network_value', - zones=['zones_value'], - node_count=1070, - memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, - state=cloud_memcache.Instance.State.CREATING, - memcache_full_version='memcache_full_version_value', - discovery_endpoint='discovery_endpoint_value', - ) - response = client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, cloud_memcache.Instance) - assert response.name == 'name_value' - assert response.display_name == 'display_name_value' - assert response.authorized_network == 'authorized_network_value' - assert response.zones == ['zones_value'] - assert response.node_count == 1070 - assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 - assert response.state == cloud_memcache.Instance.State.CREATING - assert response.memcache_full_version == 'memcache_full_version_value' - assert response.discovery_endpoint == 'discovery_endpoint_value' - - -def test_get_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - client.get_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - -@pytest.mark.asyncio -async def test_get_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.GetInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance( - name='name_value', - display_name='display_name_value', - authorized_network='authorized_network_value', - zones=['zones_value'], - node_count=1070, - memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, - state=cloud_memcache.Instance.State.CREATING, - memcache_full_version='memcache_full_version_value', - discovery_endpoint='discovery_endpoint_value', - )) - response = await client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, cloud_memcache.Instance) - assert response.name == 'name_value' - assert response.display_name == 'display_name_value' - assert response.authorized_network == 'authorized_network_value' - assert response.zones == ['zones_value'] - assert response.node_count == 1070 - assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 - assert response.state == cloud_memcache.Instance.State.CREATING - assert response.memcache_full_version == 'memcache_full_version_value' - assert response.discovery_endpoint == 'discovery_endpoint_value' - - -@pytest.mark.asyncio -async def test_get_instance_async_from_dict(): - await test_get_instance_async(request_type=dict) - - -def test_get_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.GetInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - call.return_value = cloud_memcache.Instance() - client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_get_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.GetInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) - await client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_get_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance() - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.get_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - - -def test_get_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.get_instance( - cloud_memcache.GetInstanceRequest(), - name='name_value', - ) - -@pytest.mark.asyncio -async def test_get_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance() - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.get_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_get_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.get_instance( - cloud_memcache.GetInstanceRequest(), - name='name_value', - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.CreateInstanceRequest, - dict, -]) -def test_create_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_create_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - client.create_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - -@pytest.mark.asyncio -async def test_create_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.CreateInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_create_instance_async_from_dict(): - await test_create_instance_async(request_type=dict) - - -def test_create_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.CreateInstanceRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_create_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.CreateInstanceRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -def test_create_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.create_instance( - parent='parent_value', - instance=cloud_memcache.Instance(name='name_value'), - instance_id='instance_id_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - arg = args[0].instance - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - arg = args[0].instance_id - mock_val = 'instance_id_value' - assert arg == mock_val - - -def test_create_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.create_instance( - cloud_memcache.CreateInstanceRequest(), - parent='parent_value', - instance=cloud_memcache.Instance(name='name_value'), - instance_id='instance_id_value', - ) - -@pytest.mark.asyncio -async def test_create_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.create_instance( - parent='parent_value', - instance=cloud_memcache.Instance(name='name_value'), - instance_id='instance_id_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - arg = args[0].instance - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - arg = args[0].instance_id - mock_val = 'instance_id_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_create_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.create_instance( - cloud_memcache.CreateInstanceRequest(), - parent='parent_value', - instance=cloud_memcache.Instance(name='name_value'), - instance_id='instance_id_value', - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.UpdateInstanceRequest, - dict, -]) -def test_update_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_update_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - client.update_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - -@pytest.mark.asyncio -async def test_update_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_update_instance_async_from_dict(): - await test_update_instance_async(request_type=dict) - - -def test_update_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateInstanceRequest() - - request.instance.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'instance.name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_update_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateInstanceRequest() - - request.instance.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'instance.name=name_value', - ) in kw['metadata'] - - -def test_update_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.update_instance( - instance=cloud_memcache.Instance(name='name_value'), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].instance - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - - -def test_update_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.update_instance( - cloud_memcache.UpdateInstanceRequest(), - instance=cloud_memcache.Instance(name='name_value'), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - ) - -@pytest.mark.asyncio -async def test_update_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.update_instance( - instance=cloud_memcache.Instance(name='name_value'), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].instance - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - -@pytest.mark.asyncio -async def test_update_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.update_instance( - cloud_memcache.UpdateInstanceRequest(), - instance=cloud_memcache.Instance(name='name_value'), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.UpdateParametersRequest, - dict, -]) -def test_update_parameters(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_update_parameters_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - client.update_parameters() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - -@pytest.mark.asyncio -async def test_update_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateParametersRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_update_parameters_async_from_dict(): - await test_update_parameters_async(request_type=dict) - - -def test_update_parameters_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_update_parameters_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_update_parameters_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.update_parameters( - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].parameters - mock_val = cloud_memcache.MemcacheParameters(id='id_value') - assert arg == mock_val - - -def test_update_parameters_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.update_parameters( - cloud_memcache.UpdateParametersRequest(), - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - -@pytest.mark.asyncio -async def test_update_parameters_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.update_parameters( - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].parameters - mock_val = cloud_memcache.MemcacheParameters(id='id_value') - assert arg == mock_val - -@pytest.mark.asyncio -async def test_update_parameters_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.update_parameters( - cloud_memcache.UpdateParametersRequest(), - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.DeleteInstanceRequest, - dict, -]) -def test_delete_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_delete_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - client.delete_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - -@pytest.mark.asyncio -async def test_delete_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.DeleteInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_delete_instance_async_from_dict(): - await test_delete_instance_async(request_type=dict) - - -def test_delete_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.DeleteInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_delete_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.DeleteInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_delete_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.delete_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - - -def test_delete_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.delete_instance( - cloud_memcache.DeleteInstanceRequest(), - name='name_value', - ) - -@pytest.mark.asyncio -async def test_delete_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.delete_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_delete_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.delete_instance( - cloud_memcache.DeleteInstanceRequest(), - name='name_value', - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.ApplyParametersRequest, - dict, -]) -def test_apply_parameters(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_apply_parameters_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - client.apply_parameters() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - -@pytest.mark.asyncio -async def test_apply_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplyParametersRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_apply_parameters_async_from_dict(): - await test_apply_parameters_async(request_type=dict) - - -def test_apply_parameters_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplyParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_apply_parameters_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplyParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_apply_parameters_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.apply_parameters( - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - - -def test_apply_parameters_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.apply_parameters( - cloud_memcache.ApplyParametersRequest(), - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - -@pytest.mark.asyncio -async def test_apply_parameters_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.apply_parameters( - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - -@pytest.mark.asyncio -async def test_apply_parameters_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.apply_parameters( - cloud_memcache.ApplyParametersRequest(), - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - -def test_credentials_transport_error(): - # It is an error to provide credentials and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # It is an error to provide a credentials file and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options={"credentials_file": "credentials.json"}, - transport=transport, - ) - - # It is an error to provide an api_key and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - options = client_options.ClientOptions() - options.api_key = "api_key" - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options=options, - transport=transport, - ) - - # It is an error to provide an api_key and a credential. - options = mock.Mock() - options.api_key = "api_key" - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options=options, - credentials=ga_credentials.AnonymousCredentials() - ) - - # It is an error to provide scopes and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options={"scopes": ["1", "2"]}, - transport=transport, - ) - - -def test_transport_instance(): - # A client may be instantiated with a custom transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - client = CloudMemcacheClient(transport=transport) - assert client.transport is transport - -def test_transport_get_channel(): - # A client may be instantiated with a custom transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - channel = transport.grpc_channel - assert channel - - transport = transports.CloudMemcacheGrpcAsyncIOTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - channel = transport.grpc_channel - assert channel - -@pytest.mark.parametrize("transport_class", [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, -]) -def test_transport_adc(transport_class): - # Test default credentials are used if not provided. - with mock.patch.object(google.auth, 'default') as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport_class() - adc.assert_called_once() - -@pytest.mark.parametrize("transport_name", [ - "grpc", -]) -def test_transport_kind(transport_name): - transport = CloudMemcacheClient.get_transport_class(transport_name)( - credentials=ga_credentials.AnonymousCredentials(), - ) - assert transport.kind == transport_name - -def test_transport_grpc_default(): - # A client should use the gRPC transport by default. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - assert isinstance( - client.transport, - transports.CloudMemcacheGrpcTransport, - ) - -def test_cloud_memcache_base_transport_error(): - # Passing both a credentials object and credentials_file should raise an error - with pytest.raises(core_exceptions.DuplicateCredentialArgs): - transport = transports.CloudMemcacheTransport( - credentials=ga_credentials.AnonymousCredentials(), - credentials_file="credentials.json" - ) - - -def test_cloud_memcache_base_transport(): - # Instantiate the base transport. - with mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport.__init__') as Transport: - Transport.return_value = None - transport = transports.CloudMemcacheTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Every method on the transport should just blindly - # raise NotImplementedError. - methods = ( - 'list_instances', - 'get_instance', - 'create_instance', - 'update_instance', - 'update_parameters', - 'delete_instance', - 'apply_parameters', - ) - for method in methods: - with pytest.raises(NotImplementedError): - getattr(transport, method)(request=object()) - - with pytest.raises(NotImplementedError): - transport.close() - - # Additionally, the LRO client (a property) should - # also raise NotImplementedError - with pytest.raises(NotImplementedError): - transport.operations_client - - # Catch all for all remaining methods and properties - remainder = [ - 'kind', - ] - for r in remainder: - with pytest.raises(NotImplementedError): - getattr(transport, r)() - - -def test_cloud_memcache_base_transport_with_credentials_file(): - # Instantiate the base transport with a credentials file - with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: - Transport.return_value = None - load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) - transport = transports.CloudMemcacheTransport( - credentials_file="credentials.json", - quota_project_id="octopus", - ) - load_creds.assert_called_once_with("credentials.json", - scopes=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - quota_project_id="octopus", - ) - - -def test_cloud_memcache_base_transport_with_adc(): - # Test the default credentials are used if credentials and credentials_file are None. - with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.memcache_v1.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: - Transport.return_value = None - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport = transports.CloudMemcacheTransport() - adc.assert_called_once() - - -def test_cloud_memcache_auth_adc(): - # If no credentials are provided, we should use ADC credentials. - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - CloudMemcacheClient() - adc.assert_called_once_with( - scopes=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - quota_project_id=None, - ) - - -@pytest.mark.parametrize( - "transport_class", - [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, - ], -) -def test_cloud_memcache_transport_auth_adc(transport_class): - # If credentials and host are not provided, the transport class should use - # ADC credentials. - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport_class(quota_project_id="octopus", scopes=["1", "2"]) - adc.assert_called_once_with( - scopes=["1", "2"], - default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), - quota_project_id="octopus", - ) - - -@pytest.mark.parametrize( - "transport_class", - [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, - ], -) -def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): - host = 'https://language.com' - api_audience_tests = [None, 'https://language2.com'] - api_audience_expect = [host, 'https://language2.com'] - for t, e in zip(api_audience_tests, api_audience_expect): - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - gdch_mock = mock.MagicMock() - type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) - adc.return_value = (gdch_mock, None) - transport_class(host=host, api_audience=t) - gdch_mock.with_gdch_audience.assert_called_once_with( - e - ) - - -@pytest.mark.parametrize( - "transport_class,grpc_helpers", - [ - (transports.CloudMemcacheGrpcTransport, grpc_helpers), - (transports.CloudMemcacheGrpcAsyncIOTransport, grpc_helpers_async) - ], -) -def test_cloud_memcache_transport_create_channel(transport_class, grpc_helpers): - # If credentials and host are not provided, the transport class should use - # ADC credentials. - with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( - grpc_helpers, "create_channel", autospec=True - ) as create_channel: - creds = ga_credentials.AnonymousCredentials() - adc.return_value = (creds, None) - transport_class( - quota_project_id="octopus", - scopes=["1", "2"] - ) - - create_channel.assert_called_with( - "memcache.googleapis.com:443", - credentials=creds, - credentials_file=None, - quota_project_id="octopus", - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - scopes=["1", "2"], - default_host="memcache.googleapis.com", - ssl_credentials=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_grpc_transport_client_cert_source_for_mtls( - transport_class -): - cred = ga_credentials.AnonymousCredentials() - - # Check ssl_channel_credentials is used if provided. - with mock.patch.object(transport_class, "create_channel") as mock_create_channel: - mock_ssl_channel_creds = mock.Mock() - transport_class( - host="squid.clam.whelk", - credentials=cred, - ssl_channel_credentials=mock_ssl_channel_creds - ) - mock_create_channel.assert_called_once_with( - "squid.clam.whelk:443", - credentials=cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_channel_creds, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls - # is used. - with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): - with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: - transport_class( - credentials=cred, - client_cert_source_for_mtls=client_cert_source_callback - ) - expected_cert, expected_key = client_cert_source_callback() - mock_ssl_cred.assert_called_once_with( - certificate_chain=expected_cert, - private_key=expected_key - ) - - -@pytest.mark.parametrize("transport_name", [ - "grpc", - "grpc_asyncio", -]) -def test_cloud_memcache_host_no_port(transport_name): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com'), - transport=transport_name, - ) - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - -@pytest.mark.parametrize("transport_name", [ - "grpc", - "grpc_asyncio", -]) -def test_cloud_memcache_host_with_port(transport_name): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com:8000'), - transport=transport_name, - ) - assert client.transport._host == ( - 'memcache.googleapis.com:8000' - ) - -def test_cloud_memcache_grpc_transport_channel(): - channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) - - # Check that channel is used if provided. - transport = transports.CloudMemcacheGrpcTransport( - host="squid.clam.whelk", - channel=channel, - ) - assert transport.grpc_channel == channel - assert transport._host == "squid.clam.whelk:443" - assert transport._ssl_channel_credentials == None - - -def test_cloud_memcache_grpc_asyncio_transport_channel(): - channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) - - # Check that channel is used if provided. - transport = transports.CloudMemcacheGrpcAsyncIOTransport( - host="squid.clam.whelk", - channel=channel, - ) - assert transport.grpc_channel == channel - assert transport._host == "squid.clam.whelk:443" - assert transport._ssl_channel_credentials == None - - -# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are -# removed from grpc/grpc_asyncio transport constructor. -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_transport_channel_mtls_with_client_cert_source( - transport_class -): - with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: - with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: - mock_ssl_cred = mock.Mock() - grpc_ssl_channel_cred.return_value = mock_ssl_cred - - mock_grpc_channel = mock.Mock() - grpc_create_channel.return_value = mock_grpc_channel - - cred = ga_credentials.AnonymousCredentials() - with pytest.warns(DeprecationWarning): - with mock.patch.object(google.auth, 'default') as adc: - adc.return_value = (cred, None) - transport = transport_class( - host="squid.clam.whelk", - api_mtls_endpoint="mtls.squid.clam.whelk", - client_cert_source=client_cert_source_callback, - ) - adc.assert_called_once() - - grpc_ssl_channel_cred.assert_called_once_with( - certificate_chain=b"cert bytes", private_key=b"key bytes" - ) - grpc_create_channel.assert_called_once_with( - "mtls.squid.clam.whelk:443", - credentials=cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_cred, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - assert transport.grpc_channel == mock_grpc_channel - assert transport._ssl_channel_credentials == mock_ssl_cred - - -# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are -# removed from grpc/grpc_asyncio transport constructor. -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_transport_channel_mtls_with_adc( - transport_class -): - mock_ssl_cred = mock.Mock() - with mock.patch.multiple( - "google.auth.transport.grpc.SslCredentials", - __init__=mock.Mock(return_value=None), - ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), - ): - with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: - mock_grpc_channel = mock.Mock() - grpc_create_channel.return_value = mock_grpc_channel - mock_cred = mock.Mock() - - with pytest.warns(DeprecationWarning): - transport = transport_class( - host="squid.clam.whelk", - credentials=mock_cred, - api_mtls_endpoint="mtls.squid.clam.whelk", - client_cert_source=None, - ) - - grpc_create_channel.assert_called_once_with( - "mtls.squid.clam.whelk:443", - credentials=mock_cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_cred, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - assert transport.grpc_channel == mock_grpc_channel - - -def test_cloud_memcache_grpc_lro_client(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - transport = client.transport - - # Ensure that we have a api-core operations client. - assert isinstance( - transport.operations_client, - operations_v1.OperationsClient, - ) - - # Ensure that subsequent calls to the property send the exact same object. - assert transport.operations_client is transport.operations_client - - -def test_cloud_memcache_grpc_lro_async_client(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc_asyncio', - ) - transport = client.transport - - # Ensure that we have a api-core operations client. - assert isinstance( - transport.operations_client, - operations_v1.OperationsAsyncClient, - ) - - # Ensure that subsequent calls to the property send the exact same object. - assert transport.operations_client is transport.operations_client - - -def test_instance_path(): - project = "squid" - location = "clam" - instance = "whelk" - expected = "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) - actual = CloudMemcacheClient.instance_path(project, location, instance) - assert expected == actual - - -def test_parse_instance_path(): - expected = { - "project": "octopus", - "location": "oyster", - "instance": "nudibranch", - } - path = CloudMemcacheClient.instance_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_instance_path(path) - assert expected == actual - -def test_common_billing_account_path(): - billing_account = "cuttlefish" - expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) - actual = CloudMemcacheClient.common_billing_account_path(billing_account) - assert expected == actual - - -def test_parse_common_billing_account_path(): - expected = { - "billing_account": "mussel", - } - path = CloudMemcacheClient.common_billing_account_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_billing_account_path(path) - assert expected == actual - -def test_common_folder_path(): - folder = "winkle" - expected = "folders/{folder}".format(folder=folder, ) - actual = CloudMemcacheClient.common_folder_path(folder) - assert expected == actual - - -def test_parse_common_folder_path(): - expected = { - "folder": "nautilus", - } - path = CloudMemcacheClient.common_folder_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_folder_path(path) - assert expected == actual - -def test_common_organization_path(): - organization = "scallop" - expected = "organizations/{organization}".format(organization=organization, ) - actual = CloudMemcacheClient.common_organization_path(organization) - assert expected == actual - - -def test_parse_common_organization_path(): - expected = { - "organization": "abalone", - } - path = CloudMemcacheClient.common_organization_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_organization_path(path) - assert expected == actual - -def test_common_project_path(): - project = "squid" - expected = "projects/{project}".format(project=project, ) - actual = CloudMemcacheClient.common_project_path(project) - assert expected == actual - - -def test_parse_common_project_path(): - expected = { - "project": "clam", - } - path = CloudMemcacheClient.common_project_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_project_path(path) - assert expected == actual - -def test_common_location_path(): - project = "whelk" - location = "octopus" - expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) - actual = CloudMemcacheClient.common_location_path(project, location) - assert expected == actual - - -def test_parse_common_location_path(): - expected = { - "project": "oyster", - "location": "nudibranch", - } - path = CloudMemcacheClient.common_location_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_location_path(path) - assert expected == actual - - -def test_client_with_default_client_info(): - client_info = gapic_v1.client_info.ClientInfo() - - with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_info=client_info, - ) - prep.assert_called_once_with(client_info) - - with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: - transport_class = CloudMemcacheClient.get_transport_class() - transport = transport_class( - credentials=ga_credentials.AnonymousCredentials(), - client_info=client_info, - ) - prep.assert_called_once_with(client_info) - -@pytest.mark.asyncio -async def test_transport_close_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport="grpc_asyncio", - ) - with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: - async with client: - close.assert_not_called() - close.assert_called_once() - - -def test_transport_close(): - transports = { - "grpc": "_grpc_channel", - } - - for transport, close_name in transports.items(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport - ) - with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: - with client: - close.assert_not_called() - close.assert_called_once() - -def test_client_ctx(): - transports = [ - 'grpc', - ] - for transport in transports: - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport - ) - # Test client calls underlying transport. - with mock.patch.object(type(client.transport), "close") as close: - close.assert_not_called() - with client: - pass - close.assert_called() - -@pytest.mark.parametrize("client_class,transport_class", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport), -]) -def test_api_key_credentials(client_class, transport_class): - with mock.patch.object( - google.auth._default, "get_api_key_credentials", create=True - ) as get_api_key_credentials: - mock_cred = mock.Mock() - get_api_key_credentials.return_value = mock_cred - options = client_options.ClientOptions() - options.api_key = "api_key" - with mock.patch.object(transport_class, "__init__") as patched: - patched.return_value = None - client = client_class(client_options=options) - patched.assert_called_once_with( - credentials=mock_cred, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) diff --git a/owl-bot-staging/v1beta2/.coveragerc b/owl-bot-staging/v1beta2/.coveragerc deleted file mode 100644 index 028e2ca..0000000 --- a/owl-bot-staging/v1beta2/.coveragerc +++ /dev/null @@ -1,17 +0,0 @@ -[run] -branch = True - -[report] -show_missing = True -omit = - google/cloud/memcache/__init__.py -exclude_lines = - # Re-enable the standard pragma - pragma: NO COVER - # Ignore debug-only repr - def __repr__ - # Ignore pkg_resources exceptions. - # This is added at the module level as a safeguard for if someone - # generates the code and tries to run it without pip installing. This - # makes it virtually impossible to test properly. - except pkg_resources.DistributionNotFound diff --git a/owl-bot-staging/v1beta2/.flake8 b/owl-bot-staging/v1beta2/.flake8 deleted file mode 100644 index 29227d4..0000000 --- a/owl-bot-staging/v1beta2/.flake8 +++ /dev/null @@ -1,33 +0,0 @@ -# -*- coding: utf-8 -*- -# -# Copyright 2020 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# https://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -# Generated by synthtool. DO NOT EDIT! -[flake8] -ignore = E203, E266, E501, W503 -exclude = - # Exclude generated code. - **/proto/** - **/gapic/** - **/services/** - **/types/** - *_pb2.py - - # Standard linting exemptions. - **/.nox/** - __pycache__, - .git, - *.pyc, - conf.py diff --git a/owl-bot-staging/v1beta2/MANIFEST.in b/owl-bot-staging/v1beta2/MANIFEST.in deleted file mode 100644 index 9ef584d..0000000 --- a/owl-bot-staging/v1beta2/MANIFEST.in +++ /dev/null @@ -1,2 +0,0 @@ -recursive-include google/cloud/memcache *.py -recursive-include google/cloud/memcache_v1beta2 *.py diff --git a/owl-bot-staging/v1beta2/README.rst b/owl-bot-staging/v1beta2/README.rst deleted file mode 100644 index 672802b..0000000 --- a/owl-bot-staging/v1beta2/README.rst +++ /dev/null @@ -1,49 +0,0 @@ -Python Client for Google Cloud Memcache API -================================================= - -Quick Start ------------ - -In order to use this library, you first need to go through the following steps: - -1. `Select or create a Cloud Platform project.`_ -2. `Enable billing for your project.`_ -3. Enable the Google Cloud Memcache API. -4. `Setup Authentication.`_ - -.. _Select or create a Cloud Platform project.: https://console.cloud.google.com/project -.. _Enable billing for your project.: https://cloud.google.com/billing/docs/how-to/modify-project#enable_billing_for_a_project -.. _Setup Authentication.: https://googleapis.dev/python/google-api-core/latest/auth.html - -Installation -~~~~~~~~~~~~ - -Install this library in a `virtualenv`_ using pip. `virtualenv`_ is a tool to -create isolated Python environments. The basic problem it addresses is one of -dependencies and versions, and indirectly permissions. - -With `virtualenv`_, it's possible to install this library without needing system -install permissions, and without clashing with the installed system -dependencies. - -.. _`virtualenv`: https://virtualenv.pypa.io/en/latest/ - - -Mac/Linux -^^^^^^^^^ - -.. code-block:: console - - python3 -m venv - source /bin/activate - /bin/pip install /path/to/library - - -Windows -^^^^^^^ - -.. code-block:: console - - python3 -m venv - \Scripts\activate - \Scripts\pip.exe install \path\to\library diff --git a/owl-bot-staging/v1beta2/docs/conf.py b/owl-bot-staging/v1beta2/docs/conf.py deleted file mode 100644 index d96922c..0000000 --- a/owl-bot-staging/v1beta2/docs/conf.py +++ /dev/null @@ -1,376 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# -# google-cloud-memcache documentation build configuration file -# -# This file is execfile()d with the current directory set to its -# containing dir. -# -# Note that not all possible configuration values are present in this -# autogenerated file. -# -# All configuration values have a default; values that are commented out -# serve to show the default. - -import sys -import os -import shlex - -# If extensions (or modules to document with autodoc) are in another directory, -# add these directories to sys.path here. If the directory is relative to the -# documentation root, use os.path.abspath to make it absolute, like shown here. -sys.path.insert(0, os.path.abspath("..")) - -__version__ = "0.1.0" - -# -- General configuration ------------------------------------------------ - -# If your documentation needs a minimal Sphinx version, state it here. -needs_sphinx = "4.0.1" - -# Add any Sphinx extension module names here, as strings. They can be -# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom -# ones. -extensions = [ - "sphinx.ext.autodoc", - "sphinx.ext.autosummary", - "sphinx.ext.intersphinx", - "sphinx.ext.coverage", - "sphinx.ext.napoleon", - "sphinx.ext.todo", - "sphinx.ext.viewcode", -] - -# autodoc/autosummary flags -autoclass_content = "both" -autodoc_default_flags = ["members"] -autosummary_generate = True - - -# Add any paths that contain templates here, relative to this directory. -templates_path = ["_templates"] - -# Allow markdown includes (so releases.md can include CHANGLEOG.md) -# http://www.sphinx-doc.org/en/master/markdown.html -source_parsers = {".md": "recommonmark.parser.CommonMarkParser"} - -# The suffix(es) of source filenames. -# You can specify multiple suffix as a list of string: -source_suffix = [".rst", ".md"] - -# The encoding of source files. -# source_encoding = 'utf-8-sig' - -# The root toctree document. -root_doc = "index" - -# General information about the project. -project = u"google-cloud-memcache" -copyright = u"2022, Google, LLC" -author = u"Google APIs" # TODO: autogenerate this bit - -# The version info for the project you're documenting, acts as replacement for -# |version| and |release|, also used in various other places throughout the -# built documents. -# -# The full version, including alpha/beta/rc tags. -release = __version__ -# The short X.Y version. -version = ".".join(release.split(".")[0:2]) - -# The language for content autogenerated by Sphinx. Refer to documentation -# for a list of supported languages. -# -# This is also used if you do content translation via gettext catalogs. -# Usually you set "language" from the command line for these cases. -language = None - -# There are two options for replacing |today|: either, you set today to some -# non-false value, then it is used: -# today = '' -# Else, today_fmt is used as the format for a strftime call. -# today_fmt = '%B %d, %Y' - -# List of patterns, relative to source directory, that match files and -# directories to ignore when looking for source files. -exclude_patterns = ["_build"] - -# The reST default role (used for this markup: `text`) to use for all -# documents. -# default_role = None - -# If true, '()' will be appended to :func: etc. cross-reference text. -# add_function_parentheses = True - -# If true, the current module name will be prepended to all description -# unit titles (such as .. function::). -# add_module_names = True - -# If true, sectionauthor and moduleauthor directives will be shown in the -# output. They are ignored by default. -# show_authors = False - -# The name of the Pygments (syntax highlighting) style to use. -pygments_style = "sphinx" - -# A list of ignored prefixes for module index sorting. -# modindex_common_prefix = [] - -# If true, keep warnings as "system message" paragraphs in the built documents. -# keep_warnings = False - -# If true, `todo` and `todoList` produce output, else they produce nothing. -todo_include_todos = True - - -# -- Options for HTML output ---------------------------------------------- - -# The theme to use for HTML and HTML Help pages. See the documentation for -# a list of builtin themes. -html_theme = "alabaster" - -# Theme options are theme-specific and customize the look and feel of a theme -# further. For a list of options available for each theme, see the -# documentation. -html_theme_options = { - "description": "Google Cloud Client Libraries for Python", - "github_user": "googleapis", - "github_repo": "google-cloud-python", - "github_banner": True, - "font_family": "'Roboto', Georgia, sans", - "head_font_family": "'Roboto', Georgia, serif", - "code_font_family": "'Roboto Mono', 'Consolas', monospace", -} - -# Add any paths that contain custom themes here, relative to this directory. -# html_theme_path = [] - -# The name for this set of Sphinx documents. If None, it defaults to -# " v documentation". -# html_title = None - -# A shorter title for the navigation bar. Default is the same as html_title. -# html_short_title = None - -# The name of an image file (relative to this directory) to place at the top -# of the sidebar. -# html_logo = None - -# The name of an image file (within the static path) to use as favicon of the -# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 -# pixels large. -# html_favicon = None - -# Add any paths that contain custom static files (such as style sheets) here, -# relative to this directory. They are copied after the builtin static files, -# so a file named "default.css" will overwrite the builtin "default.css". -html_static_path = ["_static"] - -# Add any extra paths that contain custom files (such as robots.txt or -# .htaccess) here, relative to this directory. These files are copied -# directly to the root of the documentation. -# html_extra_path = [] - -# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, -# using the given strftime format. -# html_last_updated_fmt = '%b %d, %Y' - -# If true, SmartyPants will be used to convert quotes and dashes to -# typographically correct entities. -# html_use_smartypants = True - -# Custom sidebar templates, maps document names to template names. -# html_sidebars = {} - -# Additional templates that should be rendered to pages, maps page names to -# template names. -# html_additional_pages = {} - -# If false, no module index is generated. -# html_domain_indices = True - -# If false, no index is generated. -# html_use_index = True - -# If true, the index is split into individual pages for each letter. -# html_split_index = False - -# If true, links to the reST sources are added to the pages. -# html_show_sourcelink = True - -# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. -# html_show_sphinx = True - -# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. -# html_show_copyright = True - -# If true, an OpenSearch description file will be output, and all pages will -# contain a tag referring to it. The value of this option must be the -# base URL from which the finished HTML is served. -# html_use_opensearch = '' - -# This is the file name suffix for HTML files (e.g. ".xhtml"). -# html_file_suffix = None - -# Language to be used for generating the HTML full-text search index. -# Sphinx supports the following languages: -# 'da', 'de', 'en', 'es', 'fi', 'fr', 'hu', 'it', 'ja' -# 'nl', 'no', 'pt', 'ro', 'ru', 'sv', 'tr' -# html_search_language = 'en' - -# A dictionary with options for the search language support, empty by default. -# Now only 'ja' uses this config value -# html_search_options = {'type': 'default'} - -# The name of a javascript file (relative to the configuration directory) that -# implements a search results scorer. If empty, the default will be used. -# html_search_scorer = 'scorer.js' - -# Output file base name for HTML help builder. -htmlhelp_basename = "google-cloud-memcache-doc" - -# -- Options for warnings ------------------------------------------------------ - - -suppress_warnings = [ - # Temporarily suppress this to avoid "more than one target found for - # cross-reference" warning, which are intractable for us to avoid while in - # a mono-repo. - # See https://github.com/sphinx-doc/sphinx/blob - # /2a65ffeef5c107c19084fabdd706cdff3f52d93c/sphinx/domains/python.py#L843 - "ref.python" -] - -# -- Options for LaTeX output --------------------------------------------- - -latex_elements = { - # The paper size ('letterpaper' or 'a4paper'). - # 'papersize': 'letterpaper', - # The font size ('10pt', '11pt' or '12pt'). - # 'pointsize': '10pt', - # Additional stuff for the LaTeX preamble. - # 'preamble': '', - # Latex figure (float) alignment - # 'figure_align': 'htbp', -} - -# Grouping the document tree into LaTeX files. List of tuples -# (source start file, target name, title, -# author, documentclass [howto, manual, or own class]). -latex_documents = [ - ( - root_doc, - "google-cloud-memcache.tex", - u"google-cloud-memcache Documentation", - author, - "manual", - ) -] - -# The name of an image file (relative to this directory) to place at the top of -# the title page. -# latex_logo = None - -# For "manual" documents, if this is true, then toplevel headings are parts, -# not chapters. -# latex_use_parts = False - -# If true, show page references after internal links. -# latex_show_pagerefs = False - -# If true, show URL addresses after external links. -# latex_show_urls = False - -# Documents to append as an appendix to all manuals. -# latex_appendices = [] - -# If false, no module index is generated. -# latex_domain_indices = True - - -# -- Options for manual page output --------------------------------------- - -# One entry per manual page. List of tuples -# (source start file, name, description, authors, manual section). -man_pages = [ - ( - root_doc, - "google-cloud-memcache", - u"Google Cloud Memcache Documentation", - [author], - 1, - ) -] - -# If true, show URL addresses after external links. -# man_show_urls = False - - -# -- Options for Texinfo output ------------------------------------------- - -# Grouping the document tree into Texinfo files. List of tuples -# (source start file, target name, title, author, -# dir menu entry, description, category) -texinfo_documents = [ - ( - root_doc, - "google-cloud-memcache", - u"google-cloud-memcache Documentation", - author, - "google-cloud-memcache", - "GAPIC library for Google Cloud Memcache API", - "APIs", - ) -] - -# Documents to append as an appendix to all manuals. -# texinfo_appendices = [] - -# If false, no module index is generated. -# texinfo_domain_indices = True - -# How to display URL addresses: 'footnote', 'no', or 'inline'. -# texinfo_show_urls = 'footnote' - -# If true, do not generate a @detailmenu in the "Top" node's menu. -# texinfo_no_detailmenu = False - - -# Example configuration for intersphinx: refer to the Python standard library. -intersphinx_mapping = { - "python": ("http://python.readthedocs.org/en/latest/", None), - "gax": ("https://gax-python.readthedocs.org/en/latest/", None), - "google-auth": ("https://google-auth.readthedocs.io/en/stable", None), - "google-gax": ("https://gax-python.readthedocs.io/en/latest/", None), - "google.api_core": ("https://googleapis.dev/python/google-api-core/latest/", None), - "grpc": ("https://grpc.io/grpc/python/", None), - "requests": ("http://requests.kennethreitz.org/en/stable/", None), - "proto": ("https://proto-plus-python.readthedocs.io/en/stable", None), - "protobuf": ("https://googleapis.dev/python/protobuf/latest/", None), -} - - -# Napoleon settings -napoleon_google_docstring = True -napoleon_numpy_docstring = True -napoleon_include_private_with_doc = False -napoleon_include_special_with_doc = True -napoleon_use_admonition_for_examples = False -napoleon_use_admonition_for_notes = False -napoleon_use_admonition_for_references = False -napoleon_use_ivar = False -napoleon_use_param = True -napoleon_use_rtype = True diff --git a/owl-bot-staging/v1beta2/docs/index.rst b/owl-bot-staging/v1beta2/docs/index.rst deleted file mode 100644 index 52e2cbf..0000000 --- a/owl-bot-staging/v1beta2/docs/index.rst +++ /dev/null @@ -1,7 +0,0 @@ -API Reference -------------- -.. toctree:: - :maxdepth: 2 - - memcache_v1beta2/services - memcache_v1beta2/types diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst deleted file mode 100644 index 7dc7a82..0000000 --- a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/cloud_memcache.rst +++ /dev/null @@ -1,10 +0,0 @@ -CloudMemcache -------------------------------- - -.. automodule:: google.cloud.memcache_v1beta2.services.cloud_memcache - :members: - :inherited-members: - -.. automodule:: google.cloud.memcache_v1beta2.services.cloud_memcache.pagers - :members: - :inherited-members: diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst deleted file mode 100644 index e5faef5..0000000 --- a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/services.rst +++ /dev/null @@ -1,6 +0,0 @@ -Services for Google Cloud Memcache v1beta2 API -============================================== -.. toctree:: - :maxdepth: 2 - - cloud_memcache diff --git a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst b/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst deleted file mode 100644 index 19e52f6..0000000 --- a/owl-bot-staging/v1beta2/docs/memcache_v1beta2/types.rst +++ /dev/null @@ -1,7 +0,0 @@ -Types for Google Cloud Memcache v1beta2 API -=========================================== - -.. automodule:: google.cloud.memcache_v1beta2.types - :members: - :undoc-members: - :show-inheritance: diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py deleted file mode 100644 index 089b411..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache/__init__.py +++ /dev/null @@ -1,53 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -from google.cloud.memcache_v1beta2.services.cloud_memcache.client import CloudMemcacheClient -from google.cloud.memcache_v1beta2.services.cloud_memcache.async_client import CloudMemcacheAsyncClient - -from google.cloud.memcache_v1beta2.types.cloud_memcache import ApplyParametersRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import ApplySoftwareUpdateRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import CreateInstanceRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import DeleteInstanceRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import GetInstanceRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import Instance -from google.cloud.memcache_v1beta2.types.cloud_memcache import ListInstancesRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import ListInstancesResponse -from google.cloud.memcache_v1beta2.types.cloud_memcache import LocationMetadata -from google.cloud.memcache_v1beta2.types.cloud_memcache import MemcacheParameters -from google.cloud.memcache_v1beta2.types.cloud_memcache import OperationMetadata -from google.cloud.memcache_v1beta2.types.cloud_memcache import UpdateInstanceRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import UpdateParametersRequest -from google.cloud.memcache_v1beta2.types.cloud_memcache import ZoneMetadata -from google.cloud.memcache_v1beta2.types.cloud_memcache import MemcacheVersion - -__all__ = ('CloudMemcacheClient', - 'CloudMemcacheAsyncClient', - 'ApplyParametersRequest', - 'ApplySoftwareUpdateRequest', - 'CreateInstanceRequest', - 'DeleteInstanceRequest', - 'GetInstanceRequest', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'LocationMetadata', - 'MemcacheParameters', - 'OperationMetadata', - 'UpdateInstanceRequest', - 'UpdateParametersRequest', - 'ZoneMetadata', - 'MemcacheVersion', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed b/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed deleted file mode 100644 index 7959cf4..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache/py.typed +++ /dev/null @@ -1,2 +0,0 @@ -# Marker file for PEP 561. -# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py deleted file mode 100644 index 7f9cce4..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/__init__.py +++ /dev/null @@ -1,54 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# - -from .services.cloud_memcache import CloudMemcacheClient -from .services.cloud_memcache import CloudMemcacheAsyncClient - -from .types.cloud_memcache import ApplyParametersRequest -from .types.cloud_memcache import ApplySoftwareUpdateRequest -from .types.cloud_memcache import CreateInstanceRequest -from .types.cloud_memcache import DeleteInstanceRequest -from .types.cloud_memcache import GetInstanceRequest -from .types.cloud_memcache import Instance -from .types.cloud_memcache import ListInstancesRequest -from .types.cloud_memcache import ListInstancesResponse -from .types.cloud_memcache import LocationMetadata -from .types.cloud_memcache import MemcacheParameters -from .types.cloud_memcache import OperationMetadata -from .types.cloud_memcache import UpdateInstanceRequest -from .types.cloud_memcache import UpdateParametersRequest -from .types.cloud_memcache import ZoneMetadata -from .types.cloud_memcache import MemcacheVersion - -__all__ = ( - 'CloudMemcacheAsyncClient', -'ApplyParametersRequest', -'ApplySoftwareUpdateRequest', -'CloudMemcacheClient', -'CreateInstanceRequest', -'DeleteInstanceRequest', -'GetInstanceRequest', -'Instance', -'ListInstancesRequest', -'ListInstancesResponse', -'LocationMetadata', -'MemcacheParameters', -'MemcacheVersion', -'OperationMetadata', -'UpdateInstanceRequest', -'UpdateParametersRequest', -'ZoneMetadata', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json deleted file mode 100644 index 288ef89..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/gapic_metadata.json +++ /dev/null @@ -1,103 +0,0 @@ - { - "comment": "This file maps proto services/RPCs to the corresponding library clients/methods", - "language": "python", - "libraryPackage": "google.cloud.memcache_v1beta2", - "protoPackage": "google.cloud.memcache.v1beta2", - "schema": "1.0", - "services": { - "CloudMemcache": { - "clients": { - "grpc": { - "libraryClient": "CloudMemcacheClient", - "rpcs": { - "ApplyParameters": { - "methods": [ - "apply_parameters" - ] - }, - "ApplySoftwareUpdate": { - "methods": [ - "apply_software_update" - ] - }, - "CreateInstance": { - "methods": [ - "create_instance" - ] - }, - "DeleteInstance": { - "methods": [ - "delete_instance" - ] - }, - "GetInstance": { - "methods": [ - "get_instance" - ] - }, - "ListInstances": { - "methods": [ - "list_instances" - ] - }, - "UpdateInstance": { - "methods": [ - "update_instance" - ] - }, - "UpdateParameters": { - "methods": [ - "update_parameters" - ] - } - } - }, - "grpc-async": { - "libraryClient": "CloudMemcacheAsyncClient", - "rpcs": { - "ApplyParameters": { - "methods": [ - "apply_parameters" - ] - }, - "ApplySoftwareUpdate": { - "methods": [ - "apply_software_update" - ] - }, - "CreateInstance": { - "methods": [ - "create_instance" - ] - }, - "DeleteInstance": { - "methods": [ - "delete_instance" - ] - }, - "GetInstance": { - "methods": [ - "get_instance" - ] - }, - "ListInstances": { - "methods": [ - "list_instances" - ] - }, - "UpdateInstance": { - "methods": [ - "update_instance" - ] - }, - "UpdateParameters": { - "methods": [ - "update_parameters" - ] - } - } - } - } - } - } -} diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed deleted file mode 100644 index 7959cf4..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/py.typed +++ /dev/null @@ -1,2 +0,0 @@ -# Marker file for PEP 561. -# The google-cloud-memcache package uses inline types. diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py deleted file mode 100644 index e8e1c38..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py deleted file mode 100644 index a7034a9..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/__init__.py +++ /dev/null @@ -1,22 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from .client import CloudMemcacheClient -from .async_client import CloudMemcacheAsyncClient - -__all__ = ( - 'CloudMemcacheClient', - 'CloudMemcacheAsyncClient', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py deleted file mode 100644 index aa2f888..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/async_client.py +++ /dev/null @@ -1,1227 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -import functools -import re -from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union -import pkg_resources - -from google.api_core.client_options import ClientOptions -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.auth import credentials as ga_credentials # type: ignore -from google.oauth2 import service_account # type: ignore - -try: - OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] -except AttributeError: # pragma: NO COVER - OptionalRetry = Union[retries.Retry, object] # type: ignore - -from google.api_core import operation # type: ignore -from google.api_core import operation_async # type: ignore -from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.protobuf import empty_pb2 # type: ignore -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport -from .client import CloudMemcacheClient - - -class CloudMemcacheAsyncClient: - """Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - """ - - _client: CloudMemcacheClient - - DEFAULT_ENDPOINT = CloudMemcacheClient.DEFAULT_ENDPOINT - DEFAULT_MTLS_ENDPOINT = CloudMemcacheClient.DEFAULT_MTLS_ENDPOINT - - instance_path = staticmethod(CloudMemcacheClient.instance_path) - parse_instance_path = staticmethod(CloudMemcacheClient.parse_instance_path) - common_billing_account_path = staticmethod(CloudMemcacheClient.common_billing_account_path) - parse_common_billing_account_path = staticmethod(CloudMemcacheClient.parse_common_billing_account_path) - common_folder_path = staticmethod(CloudMemcacheClient.common_folder_path) - parse_common_folder_path = staticmethod(CloudMemcacheClient.parse_common_folder_path) - common_organization_path = staticmethod(CloudMemcacheClient.common_organization_path) - parse_common_organization_path = staticmethod(CloudMemcacheClient.parse_common_organization_path) - common_project_path = staticmethod(CloudMemcacheClient.common_project_path) - parse_common_project_path = staticmethod(CloudMemcacheClient.parse_common_project_path) - common_location_path = staticmethod(CloudMemcacheClient.common_location_path) - parse_common_location_path = staticmethod(CloudMemcacheClient.parse_common_location_path) - - @classmethod - def from_service_account_info(cls, info: dict, *args, **kwargs): - """Creates an instance of this client using the provided credentials - info. - - Args: - info (dict): The service account private key info. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheAsyncClient: The constructed client. - """ - return CloudMemcacheClient.from_service_account_info.__func__(CloudMemcacheAsyncClient, info, *args, **kwargs) # type: ignore - - @classmethod - def from_service_account_file(cls, filename: str, *args, **kwargs): - """Creates an instance of this client using the provided credentials - file. - - Args: - filename (str): The path to the service account private key json - file. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheAsyncClient: The constructed client. - """ - return CloudMemcacheClient.from_service_account_file.__func__(CloudMemcacheAsyncClient, filename, *args, **kwargs) # type: ignore - - from_service_account_json = from_service_account_file - - @classmethod - def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[ClientOptions] = None): - """Return the API endpoint and client cert source for mutual TLS. - - The client cert source is determined in the following order: - (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the - client cert source is None. - (2) if `client_options.client_cert_source` is provided, use the provided one; if the - default client cert source exists, use the default one; otherwise the client cert - source is None. - - The API endpoint is determined in the following order: - (1) if `client_options.api_endpoint` if provided, use the provided one. - (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the - default mTLS endpoint; if the environment variabel is "never", use the default API - endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise - use the default API endpoint. - - More details can be found at https://google.aip.dev/auth/4114. - - Args: - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. Only the `api_endpoint` and `client_cert_source` properties may be used - in this method. - - Returns: - Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the - client cert source to use. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If any errors happen. - """ - return CloudMemcacheClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore - - @property - def transport(self) -> CloudMemcacheTransport: - """Returns the transport used by the client instance. - - Returns: - CloudMemcacheTransport: The transport used by the client instance. - """ - return self._client.transport - - get_transport_class = functools.partial(type(CloudMemcacheClient).get_transport_class, type(CloudMemcacheClient)) - - def __init__(self, *, - credentials: ga_credentials.Credentials = None, - transport: Union[str, CloudMemcacheTransport] = "grpc_asyncio", - client_options: ClientOptions = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - ) -> None: - """Instantiates the cloud memcache client. - - Args: - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - transport (Union[str, ~.CloudMemcacheTransport]): The - transport to use. If set to None, a transport is chosen - automatically. - client_options (ClientOptions): Custom options for the client. It - won't take effect if a ``transport`` instance is provided. - (1) The ``api_endpoint`` property can be used to override the - default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT - environment variable can also be used to override the endpoint: - "always" (always use the default mTLS endpoint), "never" (always - use the default regular endpoint) and "auto" (auto switch to the - default mTLS endpoint if client certificate is present, this is - the default value). However, the ``api_endpoint`` property takes - precedence if provided. - (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable - is "true", then the ``client_cert_source`` property can be used - to provide client certificate for mutual TLS transport. If - not provided, the default SSL client certificate will be used if - present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not - set, no client certificate will be used. - - Raises: - google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport - creation failed for any reason. - """ - self._client = CloudMemcacheClient( - credentials=credentials, - transport=transport, - client_options=client_options, - client_info=client_info, - - ) - - async def list_instances(self, - request: Union[cloud_memcache.ListInstancesRequest, dict] = None, - *, - parent: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> pagers.ListInstancesAsyncPager: - r"""Lists Instances in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_list_instances(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - async for response in page_result: - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ListInstancesRequest, dict]): - The request object. Request for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - parent (:class:`str`): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1beta2.services.cloud_memcache.pagers.ListInstancesAsyncPager: - Response for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - - Iterating over this object will yield results and - resolve additional pages automatically. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.ListInstancesRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.list_instances, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # This method is paged; wrap the response in a pager, which provides - # an `__aiter__` convenience method. - response = pagers.ListInstancesAsyncPager( - method=rpc, - request=request, - response=response, - metadata=metadata, - ) - - # Done; return the response. - return response - - async def get_instance(self, - request: Union[cloud_memcache.GetInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> cloud_memcache.Instance: - r"""Gets details of a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_get_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = await client.get_instance(request=request) - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.GetInstanceRequest, dict]): - The request object. Request for - [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. - name (:class:`str`): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1beta2.types.Instance: - A Memorystore for Memcached instance - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.GetInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.get_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Done; return the response. - return response - - async def create_instance(self, - request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, - *, - parent: str = None, - instance_id: str = None, - resource: cloud_memcache.Instance = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Creates a new Instance in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_create_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - resource=resource, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.CreateInstanceRequest, dict]): - The request object. Request for - [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. - parent (:class:`str`): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance_id (:class:`str`): - Required. The logical name of the Memcached instance in - the user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location. - - If any of the above are not met, the API raises an - invalid argument error. - - This corresponds to the ``instance_id`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - resource (:class:`google.cloud.memcache_v1beta2.types.Instance`): - Required. A Memcached [Instance] resource - This corresponds to the ``resource`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent, instance_id, resource]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.CreateInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - if instance_id is not None: - request.instance_id = instance_id - if resource is not None: - request.resource = resource - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.create_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def update_instance(self, - request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, - *, - update_mask: field_mask_pb2.FieldMask = None, - resource: cloud_memcache.Instance = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Updates an existing Instance in a given project and - location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_update_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.UpdateInstanceRequest( - resource=resource, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.UpdateInstanceRequest, dict]): - The request object. Request for - [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. - update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): - Required. Mask of fields to update. - - - ``displayName`` - - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - resource (:class:`google.cloud.memcache_v1beta2.types.Instance`): - Required. A Memcached [Instance] resource. Only fields - specified in update_mask are updated. - - This corresponds to the ``resource`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([update_mask, resource]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.UpdateInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if update_mask is not None: - request.update_mask = update_mask - if resource is not None: - request.resource = resource - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.update_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("resource.name", request.resource.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def update_parameters(self, - request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, - *, - name: str = None, - update_mask: field_mask_pb2.FieldMask = None, - parameters: cloud_memcache.MemcacheParameters = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Updates the defined Memcached parameters for an existing - instance. This method only stages the parameters, it must be - followed by ``ApplyParameters`` to apply the parameters to nodes - of the Memcached instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_update_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.UpdateParametersRequest, dict]): - The request object. Request for - [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. - name (:class:`str`): - Required. Resource name of the - Memcached instance for which the - parameters should be updated. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (:class:`google.protobuf.field_mask_pb2.FieldMask`): - Required. Mask of fields to update. - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - parameters (:class:`google.cloud.memcache_v1beta2.types.MemcacheParameters`): - The parameters to apply to the - instance. - - This corresponds to the ``parameters`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, update_mask, parameters]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.UpdateParametersRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if update_mask is not None: - request.update_mask = update_mask - if parameters is not None: - request.parameters = parameters - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.update_parameters, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def delete_instance(self, - request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Deletes a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_delete_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.DeleteInstanceRequest, dict]): - The request object. Request for - [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. - name (:class:`str`): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated - empty messages in your APIs. A typical example is to - use it as the request or the response type of an API - method. For instance: - - service Foo { - rpc Bar(google.protobuf.Empty) returns - (google.protobuf.Empty); - - } - - The JSON representation for Empty is empty JSON - object {}. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.DeleteInstanceRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.delete_instance, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - empty_pb2.Empty, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def apply_parameters(self, - request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, - *, - name: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""``ApplyParameters`` restarts the set of specified nodes in order - to update them to the current set of parameters for the - Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_apply_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ApplyParametersRequest, dict]): - The request object. Request for - [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. - name (:class:`str`): - Required. Resource name of the - Memcached instance for which parameter - group updates should be applied. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (:class:`Sequence[str]`): - Nodes to which the instance-level - parameter group is applied. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (:class:`bool`): - Whether to apply instance-level parameter group to all - nodes. If set to true, users are restricted from - specifying individual nodes, and ``ApplyParameters`` - updates all nodes within the instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.ApplyParametersRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if apply_all is not None: - request.apply_all = apply_all - if node_ids: - request.node_ids.extend(node_ids) - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.apply_parameters, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def apply_software_update(self, - request: Union[cloud_memcache.ApplySoftwareUpdateRequest, dict] = None, - *, - instance: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation_async.AsyncOperation: - r"""Updates software on the selected nodes of the - Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - async def sample_apply_software_update(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplySoftwareUpdateRequest( - instance="instance_value", - ) - - # Make the request - operation = client.apply_software_update(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ApplySoftwareUpdateRequest, dict]): - The request object. Request for - [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. - instance (:class:`str`): - Required. Resource name of the - Memcached instance for which software - update should be applied. - - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (:class:`Sequence[str]`): - Nodes to which we should apply the - update to. Note all the selected nodes - are updated in parallel. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (:class:`bool`): - Whether to apply the update to all - nodes. If set to true, will explicitly - restrict users from specifying any - nodes, and apply software update to all - nodes (where applicable) within the - instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation_async.AsyncOperation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([instance, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError("If the `request` argument is set, then none of " - "the individual field arguments should be set.") - - request = cloud_memcache.ApplySoftwareUpdateRequest(request) - - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if instance is not None: - request.instance = instance - if apply_all is not None: - request.apply_all = apply_all - if node_ids: - request.node_ids.extend(node_ids) - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = gapic_v1.method_async.wrap_method( - self._client._transport.apply_software_update, - default_timeout=1200.0, - client_info=DEFAULT_CLIENT_INFO, - ) - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("instance", request.instance), - )), - ) - - # Send the request. - response = await rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation_async.from_gapic( - response, - self._client._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - async def __aenter__(self): - return self - - async def __aexit__(self, exc_type, exc, tb): - await self.transport.close() - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - "google-cloud-memcache", - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -__all__ = ( - "CloudMemcacheAsyncClient", -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py deleted file mode 100644 index a39bf67..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/client.py +++ /dev/null @@ -1,1427 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -import os -import re -from typing import Dict, Mapping, Optional, Sequence, Tuple, Type, Union -import pkg_resources - -from google.api_core import client_options as client_options_lib -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport import mtls # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore -from google.auth.exceptions import MutualTLSChannelError # type: ignore -from google.oauth2 import service_account # type: ignore - -try: - OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault] -except AttributeError: # pragma: NO COVER - OptionalRetry = Union[retries.Retry, object] # type: ignore - -from google.api_core import operation # type: ignore -from google.api_core import operation_async # type: ignore -from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.protobuf import empty_pb2 # type: ignore -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -from .transports.base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .transports.grpc import CloudMemcacheGrpcTransport -from .transports.grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport - - -class CloudMemcacheClientMeta(type): - """Metaclass for the CloudMemcache client. - - This provides class-level methods for building and retrieving - support objects (e.g. transport) without polluting the client instance - objects. - """ - _transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] - _transport_registry["grpc"] = CloudMemcacheGrpcTransport - _transport_registry["grpc_asyncio"] = CloudMemcacheGrpcAsyncIOTransport - - def get_transport_class(cls, - label: str = None, - ) -> Type[CloudMemcacheTransport]: - """Returns an appropriate transport class. - - Args: - label: The name of the desired transport. If none is - provided, then the first transport in the registry is used. - - Returns: - The transport class to use. - """ - # If a specific transport is requested, return that one. - if label: - return cls._transport_registry[label] - - # No transport is requested; return the default (that is, the first one - # in the dictionary). - return next(iter(cls._transport_registry.values())) - - -class CloudMemcacheClient(metaclass=CloudMemcacheClientMeta): - """Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - """ - - @staticmethod - def _get_default_mtls_endpoint(api_endpoint): - """Converts api endpoint to mTLS endpoint. - - Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to - "*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively. - Args: - api_endpoint (Optional[str]): the api endpoint to convert. - Returns: - str: converted mTLS api endpoint. - """ - if not api_endpoint: - return api_endpoint - - mtls_endpoint_re = re.compile( - r"(?P[^.]+)(?P\.mtls)?(?P\.sandbox)?(?P\.googleapis\.com)?" - ) - - m = mtls_endpoint_re.match(api_endpoint) - name, mtls, sandbox, googledomain = m.groups() - if mtls or not googledomain: - return api_endpoint - - if sandbox: - return api_endpoint.replace( - "sandbox.googleapis.com", "mtls.sandbox.googleapis.com" - ) - - return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com") - - DEFAULT_ENDPOINT = "memcache.googleapis.com" - DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore - DEFAULT_ENDPOINT - ) - - @classmethod - def from_service_account_info(cls, info: dict, *args, **kwargs): - """Creates an instance of this client using the provided credentials - info. - - Args: - info (dict): The service account private key info. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheClient: The constructed client. - """ - credentials = service_account.Credentials.from_service_account_info(info) - kwargs["credentials"] = credentials - return cls(*args, **kwargs) - - @classmethod - def from_service_account_file(cls, filename: str, *args, **kwargs): - """Creates an instance of this client using the provided credentials - file. - - Args: - filename (str): The path to the service account private key json - file. - args: Additional arguments to pass to the constructor. - kwargs: Additional arguments to pass to the constructor. - - Returns: - CloudMemcacheClient: The constructed client. - """ - credentials = service_account.Credentials.from_service_account_file( - filename) - kwargs["credentials"] = credentials - return cls(*args, **kwargs) - - from_service_account_json = from_service_account_file - - @property - def transport(self) -> CloudMemcacheTransport: - """Returns the transport used by the client instance. - - Returns: - CloudMemcacheTransport: The transport used by the client - instance. - """ - return self._transport - - @staticmethod - def instance_path(project: str,location: str,instance: str,) -> str: - """Returns a fully-qualified instance string.""" - return "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) - - @staticmethod - def parse_instance_path(path: str) -> Dict[str,str]: - """Parses a instance path into its component segments.""" - m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)/instances/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_billing_account_path(billing_account: str, ) -> str: - """Returns a fully-qualified billing_account string.""" - return "billingAccounts/{billing_account}".format(billing_account=billing_account, ) - - @staticmethod - def parse_common_billing_account_path(path: str) -> Dict[str,str]: - """Parse a billing_account path into its component segments.""" - m = re.match(r"^billingAccounts/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_folder_path(folder: str, ) -> str: - """Returns a fully-qualified folder string.""" - return "folders/{folder}".format(folder=folder, ) - - @staticmethod - def parse_common_folder_path(path: str) -> Dict[str,str]: - """Parse a folder path into its component segments.""" - m = re.match(r"^folders/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_organization_path(organization: str, ) -> str: - """Returns a fully-qualified organization string.""" - return "organizations/{organization}".format(organization=organization, ) - - @staticmethod - def parse_common_organization_path(path: str) -> Dict[str,str]: - """Parse a organization path into its component segments.""" - m = re.match(r"^organizations/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_project_path(project: str, ) -> str: - """Returns a fully-qualified project string.""" - return "projects/{project}".format(project=project, ) - - @staticmethod - def parse_common_project_path(path: str) -> Dict[str,str]: - """Parse a project path into its component segments.""" - m = re.match(r"^projects/(?P.+?)$", path) - return m.groupdict() if m else {} - - @staticmethod - def common_location_path(project: str, location: str, ) -> str: - """Returns a fully-qualified location string.""" - return "projects/{project}/locations/{location}".format(project=project, location=location, ) - - @staticmethod - def parse_common_location_path(path: str) -> Dict[str,str]: - """Parse a location path into its component segments.""" - m = re.match(r"^projects/(?P.+?)/locations/(?P.+?)$", path) - return m.groupdict() if m else {} - - @classmethod - def get_mtls_endpoint_and_cert_source(cls, client_options: Optional[client_options_lib.ClientOptions] = None): - """Return the API endpoint and client cert source for mutual TLS. - - The client cert source is determined in the following order: - (1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the - client cert source is None. - (2) if `client_options.client_cert_source` is provided, use the provided one; if the - default client cert source exists, use the default one; otherwise the client cert - source is None. - - The API endpoint is determined in the following order: - (1) if `client_options.api_endpoint` if provided, use the provided one. - (2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the - default mTLS endpoint; if the environment variabel is "never", use the default API - endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise - use the default API endpoint. - - More details can be found at https://google.aip.dev/auth/4114. - - Args: - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. Only the `api_endpoint` and `client_cert_source` properties may be used - in this method. - - Returns: - Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the - client cert source to use. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If any errors happen. - """ - if client_options is None: - client_options = client_options_lib.ClientOptions() - use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false") - use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto") - if use_client_cert not in ("true", "false"): - raise ValueError("Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`") - if use_mtls_endpoint not in ("auto", "never", "always"): - raise MutualTLSChannelError("Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`") - - # Figure out the client cert source to use. - client_cert_source = None - if use_client_cert == "true": - if client_options.client_cert_source: - client_cert_source = client_options.client_cert_source - elif mtls.has_default_client_cert_source(): - client_cert_source = mtls.default_client_cert_source() - - # Figure out which api endpoint to use. - if client_options.api_endpoint is not None: - api_endpoint = client_options.api_endpoint - elif use_mtls_endpoint == "always" or (use_mtls_endpoint == "auto" and client_cert_source): - api_endpoint = cls.DEFAULT_MTLS_ENDPOINT - else: - api_endpoint = cls.DEFAULT_ENDPOINT - - return api_endpoint, client_cert_source - - def __init__(self, *, - credentials: Optional[ga_credentials.Credentials] = None, - transport: Union[str, CloudMemcacheTransport, None] = None, - client_options: Optional[client_options_lib.ClientOptions] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - ) -> None: - """Instantiates the cloud memcache client. - - Args: - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - transport (Union[str, CloudMemcacheTransport]): The - transport to use. If set to None, a transport is chosen - automatically. - client_options (google.api_core.client_options.ClientOptions): Custom options for the - client. It won't take effect if a ``transport`` instance is provided. - (1) The ``api_endpoint`` property can be used to override the - default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT - environment variable can also be used to override the endpoint: - "always" (always use the default mTLS endpoint), "never" (always - use the default regular endpoint) and "auto" (auto switch to the - default mTLS endpoint if client certificate is present, this is - the default value). However, the ``api_endpoint`` property takes - precedence if provided. - (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable - is "true", then the ``client_cert_source`` property can be used - to provide client certificate for mutual TLS transport. If - not provided, the default SSL client certificate will be used if - present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not - set, no client certificate will be used. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport - creation failed for any reason. - """ - if isinstance(client_options, dict): - client_options = client_options_lib.from_dict(client_options) - if client_options is None: - client_options = client_options_lib.ClientOptions() - - api_endpoint, client_cert_source_func = self.get_mtls_endpoint_and_cert_source(client_options) - - api_key_value = getattr(client_options, "api_key", None) - if api_key_value and credentials: - raise ValueError("client_options.api_key and credentials are mutually exclusive") - - # Save or instantiate the transport. - # Ordinarily, we provide the transport, but allowing a custom transport - # instance provides an extensibility point for unusual situations. - if isinstance(transport, CloudMemcacheTransport): - # transport is a CloudMemcacheTransport instance. - if credentials or client_options.credentials_file or api_key_value: - raise ValueError("When providing a transport instance, " - "provide its credentials directly.") - if client_options.scopes: - raise ValueError( - "When providing a transport instance, provide its scopes " - "directly." - ) - self._transport = transport - else: - import google.auth._default # type: ignore - - if api_key_value and hasattr(google.auth._default, "get_api_key_credentials"): - credentials = google.auth._default.get_api_key_credentials(api_key_value) - - Transport = type(self).get_transport_class(transport) - self._transport = Transport( - credentials=credentials, - credentials_file=client_options.credentials_file, - host=api_endpoint, - scopes=client_options.scopes, - client_cert_source_for_mtls=client_cert_source_func, - quota_project_id=client_options.quota_project_id, - client_info=client_info, - always_use_jwt_access=True, - api_audience=client_options.api_audience, - ) - - def list_instances(self, - request: Union[cloud_memcache.ListInstancesRequest, dict] = None, - *, - parent: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> pagers.ListInstancesPager: - r"""Lists Instances in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_list_instances(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - for response in page_result: - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ListInstancesRequest, dict]): - The request object. Request for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - parent (str): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1beta2.services.cloud_memcache.pagers.ListInstancesPager: - Response for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - - Iterating over this object will yield results and - resolve additional pages automatically. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.ListInstancesRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.ListInstancesRequest): - request = cloud_memcache.ListInstancesRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.list_instances] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # This method is paged; wrap the response in a pager, which provides - # an `__iter__` convenience method. - response = pagers.ListInstancesPager( - method=rpc, - request=request, - response=response, - metadata=metadata, - ) - - # Done; return the response. - return response - - def get_instance(self, - request: Union[cloud_memcache.GetInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> cloud_memcache.Instance: - r"""Gets details of a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_get_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = client.get_instance(request=request) - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.GetInstanceRequest, dict]): - The request object. Request for - [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. - name (str): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.cloud.memcache_v1beta2.types.Instance: - A Memorystore for Memcached instance - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.GetInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.GetInstanceRequest): - request = cloud_memcache.GetInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.get_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Done; return the response. - return response - - def create_instance(self, - request: Union[cloud_memcache.CreateInstanceRequest, dict] = None, - *, - parent: str = None, - instance_id: str = None, - resource: cloud_memcache.Instance = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Creates a new Instance in a given location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_create_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - resource=resource, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.CreateInstanceRequest, dict]): - The request object. Request for - [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. - parent (str): - Required. The resource name of the instance location - using the form: - ``projects/{project_id}/locations/{location_id}`` where - ``location_id`` refers to a GCP region - - This corresponds to the ``parent`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - instance_id (str): - Required. The logical name of the Memcached instance in - the user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location. - - If any of the above are not met, the API raises an - invalid argument error. - - This corresponds to the ``instance_id`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - resource (google.cloud.memcache_v1beta2.types.Instance): - Required. A Memcached [Instance] resource - This corresponds to the ``resource`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([parent, instance_id, resource]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.CreateInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.CreateInstanceRequest): - request = cloud_memcache.CreateInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if parent is not None: - request.parent = parent - if instance_id is not None: - request.instance_id = instance_id - if resource is not None: - request.resource = resource - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.create_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("parent", request.parent), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def update_instance(self, - request: Union[cloud_memcache.UpdateInstanceRequest, dict] = None, - *, - update_mask: field_mask_pb2.FieldMask = None, - resource: cloud_memcache.Instance = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Updates an existing Instance in a given project and - location. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_update_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.UpdateInstanceRequest( - resource=resource, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.UpdateInstanceRequest, dict]): - The request object. Request for - [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - - - ``displayName`` - - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - resource (google.cloud.memcache_v1beta2.types.Instance): - Required. A Memcached [Instance] resource. Only fields - specified in update_mask are updated. - - This corresponds to the ``resource`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([update_mask, resource]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.UpdateInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.UpdateInstanceRequest): - request = cloud_memcache.UpdateInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if update_mask is not None: - request.update_mask = update_mask - if resource is not None: - request.resource = resource - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.update_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("resource.name", request.resource.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def update_parameters(self, - request: Union[cloud_memcache.UpdateParametersRequest, dict] = None, - *, - name: str = None, - update_mask: field_mask_pb2.FieldMask = None, - parameters: cloud_memcache.MemcacheParameters = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Updates the defined Memcached parameters for an existing - instance. This method only stages the parameters, it must be - followed by ``ApplyParameters`` to apply the parameters to nodes - of the Memcached instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_update_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.UpdateParametersRequest, dict]): - The request object. Request for - [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. - name (str): - Required. Resource name of the - Memcached instance for which the - parameters should be updated. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - This corresponds to the ``update_mask`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): - The parameters to apply to the - instance. - - This corresponds to the ``parameters`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, update_mask, parameters]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.UpdateParametersRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.UpdateParametersRequest): - request = cloud_memcache.UpdateParametersRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if update_mask is not None: - request.update_mask = update_mask - if parameters is not None: - request.parameters = parameters - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.update_parameters] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def delete_instance(self, - request: Union[cloud_memcache.DeleteInstanceRequest, dict] = None, - *, - name: str = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Deletes a single Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_delete_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.DeleteInstanceRequest, dict]): - The request object. Request for - [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. - name (str): - Required. Memcached instance resource name in the - format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be :class:`google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated - empty messages in your APIs. A typical example is to - use it as the request or the response type of an API - method. For instance: - - service Foo { - rpc Bar(google.protobuf.Empty) returns - (google.protobuf.Empty); - - } - - The JSON representation for Empty is empty JSON - object {}. - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.DeleteInstanceRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.DeleteInstanceRequest): - request = cloud_memcache.DeleteInstanceRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.delete_instance] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - empty_pb2.Empty, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def apply_parameters(self, - request: Union[cloud_memcache.ApplyParametersRequest, dict] = None, - *, - name: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""``ApplyParameters`` restarts the set of specified nodes in order - to update them to the current set of parameters for the - Memcached Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_apply_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ApplyParametersRequest, dict]): - The request object. Request for - [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. - name (str): - Required. Resource name of the - Memcached instance for which parameter - group updates should be applied. - - This corresponds to the ``name`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (Sequence[str]): - Nodes to which the instance-level - parameter group is applied. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (bool): - Whether to apply instance-level parameter group to all - nodes. If set to true, users are restricted from - specifying individual nodes, and ``ApplyParameters`` - updates all nodes within the instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([name, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.ApplyParametersRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.ApplyParametersRequest): - request = cloud_memcache.ApplyParametersRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if name is not None: - request.name = name - if node_ids is not None: - request.node_ids = node_ids - if apply_all is not None: - request.apply_all = apply_all - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.apply_parameters] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("name", request.name), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def apply_software_update(self, - request: Union[cloud_memcache.ApplySoftwareUpdateRequest, dict] = None, - *, - instance: str = None, - node_ids: Sequence[str] = None, - apply_all: bool = None, - retry: OptionalRetry = gapic_v1.method.DEFAULT, - timeout: float = None, - metadata: Sequence[Tuple[str, str]] = (), - ) -> operation.Operation: - r"""Updates software on the selected nodes of the - Instance. - - .. code-block:: python - - from google.cloud import memcache_v1beta2 - - def sample_apply_software_update(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplySoftwareUpdateRequest( - instance="instance_value", - ) - - # Make the request - operation = client.apply_software_update(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - - Args: - request (Union[google.cloud.memcache_v1beta2.types.ApplySoftwareUpdateRequest, dict]): - The request object. Request for - [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. - instance (str): - Required. Resource name of the - Memcached instance for which software - update should be applied. - - This corresponds to the ``instance`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - node_ids (Sequence[str]): - Nodes to which we should apply the - update to. Note all the selected nodes - are updated in parallel. - - This corresponds to the ``node_ids`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - apply_all (bool): - Whether to apply the update to all - nodes. If set to true, will explicitly - restrict users from specifying any - nodes, and apply software update to all - nodes (where applicable) within the - instance. - - This corresponds to the ``apply_all`` field - on the ``request`` instance; if ``request`` is provided, this - should not be set. - retry (google.api_core.retry.Retry): Designation of what errors, if any, - should be retried. - timeout (float): The timeout for this request. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - - Returns: - google.api_core.operation.Operation: - An object representing a long-running operation. - - The result type for the operation will be - :class:`google.cloud.memcache_v1beta2.types.Instance` A - Memorystore for Memcached instance - - """ - # Create or coerce a protobuf request object. - # Quick check: If we got a request object, we should *not* have - # gotten any keyword arguments that map to the request. - has_flattened_params = any([instance, node_ids, apply_all]) - if request is not None and has_flattened_params: - raise ValueError('If the `request` argument is set, then none of ' - 'the individual field arguments should be set.') - - # Minor optimization to avoid making a copy if the user passes - # in a cloud_memcache.ApplySoftwareUpdateRequest. - # There's no risk of modifying the input as we've already verified - # there are no flattened fields. - if not isinstance(request, cloud_memcache.ApplySoftwareUpdateRequest): - request = cloud_memcache.ApplySoftwareUpdateRequest(request) - # If we have keyword arguments corresponding to fields on the - # request, apply these. - if instance is not None: - request.instance = instance - if node_ids is not None: - request.node_ids = node_ids - if apply_all is not None: - request.apply_all = apply_all - - # Wrap the RPC method; this adds retry and timeout information, - # and friendly error handling. - rpc = self._transport._wrapped_methods[self._transport.apply_software_update] - - # Certain fields should be provided within the metadata header; - # add these here. - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ("instance", request.instance), - )), - ) - - # Send the request. - response = rpc( - request, - retry=retry, - timeout=timeout, - metadata=metadata, - ) - - # Wrap the response in an operation future. - response = operation.from_gapic( - response, - self._transport.operations_client, - cloud_memcache.Instance, - metadata_type=cloud_memcache.OperationMetadata, - ) - - # Done; return the response. - return response - - def __enter__(self): - return self - - def __exit__(self, type, value, traceback): - """Releases underlying transport's resources. - - .. warning:: - ONLY use as a context manager if the transport is NOT shared - with other clients! Exiting the with block will CLOSE the transport - and may cause errors in other clients! - """ - self.transport.close() - - - - - - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - "google-cloud-memcache", - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -__all__ = ( - "CloudMemcacheClient", -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py deleted file mode 100644 index 79e396b..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/pagers.py +++ /dev/null @@ -1,139 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from typing import Any, AsyncIterator, Awaitable, Callable, Sequence, Tuple, Optional, Iterator - -from google.cloud.memcache_v1beta2.types import cloud_memcache - - -class ListInstancesPager: - """A pager for iterating through ``list_instances`` requests. - - This class thinly wraps an initial - :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` object, and - provides an ``__iter__`` method to iterate through its - ``resources`` field. - - If there are more pages, the ``__iter__`` method will make additional - ``ListInstances`` requests and continue to iterate - through the ``resources`` field on the - corresponding responses. - - All the usual :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` - attributes are available on the pager. If multiple requests are made, only - the most recent response is retained, and thus used for attribute lookup. - """ - def __init__(self, - method: Callable[..., cloud_memcache.ListInstancesResponse], - request: cloud_memcache.ListInstancesRequest, - response: cloud_memcache.ListInstancesResponse, - *, - metadata: Sequence[Tuple[str, str]] = ()): - """Instantiate the pager. - - Args: - method (Callable): The method that was originally called, and - which instantiated this pager. - request (google.cloud.memcache_v1beta2.types.ListInstancesRequest): - The initial request object. - response (google.cloud.memcache_v1beta2.types.ListInstancesResponse): - The initial response object. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - """ - self._method = method - self._request = cloud_memcache.ListInstancesRequest(request) - self._response = response - self._metadata = metadata - - def __getattr__(self, name: str) -> Any: - return getattr(self._response, name) - - @property - def pages(self) -> Iterator[cloud_memcache.ListInstancesResponse]: - yield self._response - while self._response.next_page_token: - self._request.page_token = self._response.next_page_token - self._response = self._method(self._request, metadata=self._metadata) - yield self._response - - def __iter__(self) -> Iterator[cloud_memcache.Instance]: - for page in self.pages: - yield from page.resources - - def __repr__(self) -> str: - return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) - - -class ListInstancesAsyncPager: - """A pager for iterating through ``list_instances`` requests. - - This class thinly wraps an initial - :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` object, and - provides an ``__aiter__`` method to iterate through its - ``resources`` field. - - If there are more pages, the ``__aiter__`` method will make additional - ``ListInstances`` requests and continue to iterate - through the ``resources`` field on the - corresponding responses. - - All the usual :class:`google.cloud.memcache_v1beta2.types.ListInstancesResponse` - attributes are available on the pager. If multiple requests are made, only - the most recent response is retained, and thus used for attribute lookup. - """ - def __init__(self, - method: Callable[..., Awaitable[cloud_memcache.ListInstancesResponse]], - request: cloud_memcache.ListInstancesRequest, - response: cloud_memcache.ListInstancesResponse, - *, - metadata: Sequence[Tuple[str, str]] = ()): - """Instantiates the pager. - - Args: - method (Callable): The method that was originally called, and - which instantiated this pager. - request (google.cloud.memcache_v1beta2.types.ListInstancesRequest): - The initial request object. - response (google.cloud.memcache_v1beta2.types.ListInstancesResponse): - The initial response object. - metadata (Sequence[Tuple[str, str]]): Strings which should be - sent along with the request as metadata. - """ - self._method = method - self._request = cloud_memcache.ListInstancesRequest(request) - self._response = response - self._metadata = metadata - - def __getattr__(self, name: str) -> Any: - return getattr(self._response, name) - - @property - async def pages(self) -> AsyncIterator[cloud_memcache.ListInstancesResponse]: - yield self._response - while self._response.next_page_token: - self._request.page_token = self._response.next_page_token - self._response = await self._method(self._request, metadata=self._metadata) - yield self._response - def __aiter__(self) -> AsyncIterator[cloud_memcache.Instance]: - async def async_generator(): - async for page in self.pages: - for response in page.resources: - yield response - - return async_generator() - - def __repr__(self) -> str: - return '{0}<{1!r}>'.format(self.__class__.__name__, self._response) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py deleted file mode 100644 index 6067238..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/__init__.py +++ /dev/null @@ -1,33 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from collections import OrderedDict -from typing import Dict, Type - -from .base import CloudMemcacheTransport -from .grpc import CloudMemcacheGrpcTransport -from .grpc_asyncio import CloudMemcacheGrpcAsyncIOTransport - - -# Compile a registry of transports. -_transport_registry = OrderedDict() # type: Dict[str, Type[CloudMemcacheTransport]] -_transport_registry['grpc'] = CloudMemcacheGrpcTransport -_transport_registry['grpc_asyncio'] = CloudMemcacheGrpcAsyncIOTransport - -__all__ = ( - 'CloudMemcacheTransport', - 'CloudMemcacheGrpcTransport', - 'CloudMemcacheGrpcAsyncIOTransport', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py deleted file mode 100644 index 2575ee8..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/base.py +++ /dev/null @@ -1,259 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import abc -from typing import Awaitable, Callable, Dict, Optional, Sequence, Union -import pkg_resources - -import google.auth # type: ignore -import google.api_core -from google.api_core import exceptions as core_exceptions -from google.api_core import gapic_v1 -from google.api_core import retry as retries -from google.api_core import operations_v1 -from google.auth import credentials as ga_credentials # type: ignore -from google.oauth2 import service_account # type: ignore - -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore - -try: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo( - gapic_version=pkg_resources.get_distribution( - 'google-cloud-memcache', - ).version, - ) -except pkg_resources.DistributionNotFound: - DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo() - - -class CloudMemcacheTransport(abc.ABC): - """Abstract transport class for CloudMemcache.""" - - AUTH_SCOPES = ( - 'https://www.googleapis.com/auth/cloud-platform', - ) - - DEFAULT_HOST: str = 'memcache.googleapis.com' - def __init__( - self, *, - host: str = DEFAULT_HOST, - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - **kwargs, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is mutually exclusive with credentials. - scopes (Optional[Sequence[str]]): A list of scopes. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - """ - - scopes_kwargs = {"scopes": scopes, "default_scopes": self.AUTH_SCOPES} - - # Save the scopes. - self._scopes = scopes - - # If no credentials are provided, then determine the appropriate - # defaults. - if credentials and credentials_file: - raise core_exceptions.DuplicateCredentialArgs("'credentials_file' and 'credentials' are mutually exclusive") - - if credentials_file is not None: - credentials, _ = google.auth.load_credentials_from_file( - credentials_file, - **scopes_kwargs, - quota_project_id=quota_project_id - ) - elif credentials is None: - credentials, _ = google.auth.default(**scopes_kwargs, quota_project_id=quota_project_id) - # Don't apply audience if the credentials file passed from user. - if hasattr(credentials, "with_gdch_audience"): - credentials = credentials.with_gdch_audience(api_audience if api_audience else host) - - # If the credentials are service account credentials, then always try to use self signed JWT. - if always_use_jwt_access and isinstance(credentials, service_account.Credentials) and hasattr(service_account.Credentials, "with_always_use_jwt_access"): - credentials = credentials.with_always_use_jwt_access(True) - - # Save the credentials. - self._credentials = credentials - - # Save the hostname. Default to port 443 (HTTPS) if none is specified. - if ':' not in host: - host += ':443' - self._host = host - - def _prep_wrapped_messages(self, client_info): - # Precompute the wrapped methods. - self._wrapped_methods = { - self.list_instances: gapic_v1.method.wrap_method( - self.list_instances, - default_timeout=1200.0, - client_info=client_info, - ), - self.get_instance: gapic_v1.method.wrap_method( - self.get_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.create_instance: gapic_v1.method.wrap_method( - self.create_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.update_instance: gapic_v1.method.wrap_method( - self.update_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.update_parameters: gapic_v1.method.wrap_method( - self.update_parameters, - default_timeout=1200.0, - client_info=client_info, - ), - self.delete_instance: gapic_v1.method.wrap_method( - self.delete_instance, - default_timeout=1200.0, - client_info=client_info, - ), - self.apply_parameters: gapic_v1.method.wrap_method( - self.apply_parameters, - default_timeout=1200.0, - client_info=client_info, - ), - self.apply_software_update: gapic_v1.method.wrap_method( - self.apply_software_update, - default_timeout=1200.0, - client_info=client_info, - ), - } - - def close(self): - """Closes resources associated with the transport. - - .. warning:: - Only call this method if the transport is NOT shared - with other clients - this may cause errors in other clients! - """ - raise NotImplementedError() - - @property - def operations_client(self): - """Return the client designed to process long-running operations.""" - raise NotImplementedError() - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - Union[ - cloud_memcache.ListInstancesResponse, - Awaitable[cloud_memcache.ListInstancesResponse] - ]]: - raise NotImplementedError() - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - Union[ - cloud_memcache.Instance, - Awaitable[cloud_memcache.Instance] - ]]: - raise NotImplementedError() - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def apply_software_update(self) -> Callable[ - [cloud_memcache.ApplySoftwareUpdateRequest], - Union[ - operations_pb2.Operation, - Awaitable[operations_pb2.Operation] - ]]: - raise NotImplementedError() - - @property - def kind(self) -> str: - raise NotImplementedError() - - -__all__ = ( - 'CloudMemcacheTransport', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py deleted file mode 100644 index f9fb1bd..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc.py +++ /dev/null @@ -1,490 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import warnings -from typing import Callable, Dict, Optional, Sequence, Tuple, Union - -from google.api_core import grpc_helpers -from google.api_core import operations_v1 -from google.api_core import gapic_v1 -import google.auth # type: ignore -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore - -import grpc # type: ignore - -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore -from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO - - -class CloudMemcacheGrpcTransport(CloudMemcacheTransport): - """gRPC backend transport for CloudMemcache. - - Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - - This class defines the same methods as the primary client, so the - primary client can load the underlying transport implementation - and call it. - - It sends protocol buffers over the wire using gRPC (which is built on - top of HTTP/2); the ``grpcio`` package must be installed. - """ - _stubs: Dict[str, Callable] - - def __init__(self, *, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: str = None, - scopes: Sequence[str] = None, - channel: grpc.Channel = None, - api_mtls_endpoint: str = None, - client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, - ssl_channel_credentials: grpc.ChannelCredentials = None, - client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, - quota_project_id: Optional[str] = None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - This argument is ignored if ``channel`` is provided. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional(Sequence[str])): A list of scopes. This argument is - ignored if ``channel`` is provided. - channel (Optional[grpc.Channel]): A ``Channel`` instance through - which to make calls. - api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. - If provided, it overrides the ``host`` argument and tries to create - a mutual TLS channel with client SSL credentials from - ``client_cert_source`` or application default SSL credentials. - client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): - Deprecated. A callback to provide client SSL certificate bytes and - private key bytes, both in PEM format. It is ignored if - ``api_mtls_endpoint`` is None. - ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials - for the grpc channel. It is ignored if ``channel`` is provided. - client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): - A callback to provide client certificate bytes and private key bytes, - both in PEM format. It is used to configure a mutual TLS channel. It is - ignored if ``channel`` or ``ssl_channel_credentials`` is provided. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - - Raises: - google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport - creation failed for any reason. - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - self._grpc_channel = None - self._ssl_channel_credentials = ssl_channel_credentials - self._stubs: Dict[str, Callable] = {} - self._operations_client: Optional[operations_v1.OperationsClient] = None - - if api_mtls_endpoint: - warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) - if client_cert_source: - warnings.warn("client_cert_source is deprecated", DeprecationWarning) - - if channel: - # Ignore credentials if a channel was passed. - credentials = False - # If a channel was explicitly provided, set it. - self._grpc_channel = channel - self._ssl_channel_credentials = None - - else: - if api_mtls_endpoint: - host = api_mtls_endpoint - - # Create SSL credentials with client_cert_source or application - # default SSL credentials. - if client_cert_source: - cert, key = client_cert_source() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - else: - self._ssl_channel_credentials = SslCredentials().ssl_credentials - - else: - if client_cert_source_for_mtls and not ssl_channel_credentials: - cert, key = client_cert_source_for_mtls() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - - # The base transport sets the host, credentials and scopes - super().__init__( - host=host, - credentials=credentials, - credentials_file=credentials_file, - scopes=scopes, - quota_project_id=quota_project_id, - client_info=client_info, - always_use_jwt_access=always_use_jwt_access, - api_audience=api_audience, - ) - - if not self._grpc_channel: - self._grpc_channel = type(self).create_channel( - self._host, - # use the credentials which are saved - credentials=self._credentials, - # Set ``credentials_file`` to ``None`` here as - # the credentials that we saved earlier should be used. - credentials_file=None, - scopes=self._scopes, - ssl_credentials=self._ssl_channel_credentials, - quota_project_id=quota_project_id, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Wrap messages. This must be done after self._grpc_channel exists - self._prep_wrapped_messages(client_info) - - @classmethod - def create_channel(cls, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: str = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - **kwargs) -> grpc.Channel: - """Create and return a gRPC channel object. - Args: - host (Optional[str]): The host for the channel to use. - credentials (Optional[~.Credentials]): The - authorization credentials to attach to requests. These - credentials identify this application to the service. If - none are specified, the client will attempt to ascertain - the credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is mutually exclusive with credentials. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - kwargs (Optional[dict]): Keyword arguments, which are passed to the - channel creation. - Returns: - grpc.Channel: A gRPC channel object. - - Raises: - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - - return grpc_helpers.create_channel( - host, - credentials=credentials, - credentials_file=credentials_file, - quota_project_id=quota_project_id, - default_scopes=cls.AUTH_SCOPES, - scopes=scopes, - default_host=cls.DEFAULT_HOST, - **kwargs - ) - - @property - def grpc_channel(self) -> grpc.Channel: - """Return the channel designed to connect to this service. - """ - return self._grpc_channel - - @property - def operations_client(self) -> operations_v1.OperationsClient: - """Create the client designed to process long-running operations. - - This property caches on the instance; repeated calls return the same - client. - """ - # Quick check: Only create a new client if we do not already have one. - if self._operations_client is None: - self._operations_client = operations_v1.OperationsClient( - self.grpc_channel - ) - - # Return the client from cache. - return self._operations_client - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - cloud_memcache.ListInstancesResponse]: - r"""Return a callable for the list instances method over gRPC. - - Lists Instances in a given location. - - Returns: - Callable[[~.ListInstancesRequest], - ~.ListInstancesResponse]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'list_instances' not in self._stubs: - self._stubs['list_instances'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ListInstances', - request_serializer=cloud_memcache.ListInstancesRequest.serialize, - response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, - ) - return self._stubs['list_instances'] - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - cloud_memcache.Instance]: - r"""Return a callable for the get instance method over gRPC. - - Gets details of a single Instance. - - Returns: - Callable[[~.GetInstanceRequest], - ~.Instance]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'get_instance' not in self._stubs: - self._stubs['get_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/GetInstance', - request_serializer=cloud_memcache.GetInstanceRequest.serialize, - response_deserializer=cloud_memcache.Instance.deserialize, - ) - return self._stubs['get_instance'] - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the create instance method over gRPC. - - Creates a new Instance in a given location. - - Returns: - Callable[[~.CreateInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'create_instance' not in self._stubs: - self._stubs['create_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/CreateInstance', - request_serializer=cloud_memcache.CreateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['create_instance'] - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the update instance method over gRPC. - - Updates an existing Instance in a given project and - location. - - Returns: - Callable[[~.UpdateInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_instance' not in self._stubs: - self._stubs['update_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateInstance', - request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_instance'] - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - operations_pb2.Operation]: - r"""Return a callable for the update parameters method over gRPC. - - Updates the defined Memcached parameters for an existing - instance. This method only stages the parameters, it must be - followed by ``ApplyParameters`` to apply the parameters to nodes - of the Memcached instance. - - Returns: - Callable[[~.UpdateParametersRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_parameters' not in self._stubs: - self._stubs['update_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateParameters', - request_serializer=cloud_memcache.UpdateParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_parameters'] - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - operations_pb2.Operation]: - r"""Return a callable for the delete instance method over gRPC. - - Deletes a single Instance. - - Returns: - Callable[[~.DeleteInstanceRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'delete_instance' not in self._stubs: - self._stubs['delete_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/DeleteInstance', - request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['delete_instance'] - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - operations_pb2.Operation]: - r"""Return a callable for the apply parameters method over gRPC. - - ``ApplyParameters`` restarts the set of specified nodes in order - to update them to the current set of parameters for the - Memcached Instance. - - Returns: - Callable[[~.ApplyParametersRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_parameters' not in self._stubs: - self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ApplyParameters', - request_serializer=cloud_memcache.ApplyParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_parameters'] - - @property - def apply_software_update(self) -> Callable[ - [cloud_memcache.ApplySoftwareUpdateRequest], - operations_pb2.Operation]: - r"""Return a callable for the apply software update method over gRPC. - - Updates software on the selected nodes of the - Instance. - - Returns: - Callable[[~.ApplySoftwareUpdateRequest], - ~.Operation]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_software_update' not in self._stubs: - self._stubs['apply_software_update'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ApplySoftwareUpdate', - request_serializer=cloud_memcache.ApplySoftwareUpdateRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_software_update'] - - def close(self): - self.grpc_channel.close() - - @property - def kind(self) -> str: - return "grpc" - - -__all__ = ( - 'CloudMemcacheGrpcTransport', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py deleted file mode 100644 index d50bd3a..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/services/cloud_memcache/transports/grpc_asyncio.py +++ /dev/null @@ -1,489 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import warnings -from typing import Awaitable, Callable, Dict, Optional, Sequence, Tuple, Union - -from google.api_core import gapic_v1 -from google.api_core import grpc_helpers_async -from google.api_core import operations_v1 -from google.auth import credentials as ga_credentials # type: ignore -from google.auth.transport.grpc import SslCredentials # type: ignore - -import grpc # type: ignore -from grpc.experimental import aio # type: ignore - -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.longrunning import operations_pb2 # type: ignore -from .base import CloudMemcacheTransport, DEFAULT_CLIENT_INFO -from .grpc import CloudMemcacheGrpcTransport - - -class CloudMemcacheGrpcAsyncIOTransport(CloudMemcacheTransport): - """gRPC AsyncIO backend transport for CloudMemcache. - - Configures and manages Cloud Memorystore for Memcached instances. - - The ``memcache.googleapis.com`` service implements the Google Cloud - Memorystore for Memcached API and defines the following resource - model for managing Memorystore Memcached (also called Memcached - below) instances: - - - The service works with a collection of cloud projects, named: - ``/projects/*`` - - Each project has a collection of available locations, named: - ``/locations/*`` - - Each location has a collection of Memcached instances, named: - ``/instances/*`` - - As such, Memcached instances are resources of the form: - ``/projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note that location_id must be a GCP ``region``; for example: - - - ``projects/my-memcached-project/locations/us-central1/instances/my-memcached`` - - This class defines the same methods as the primary client, so the - primary client can load the underlying transport implementation - and call it. - - It sends protocol buffers over the wire using gRPC (which is built on - top of HTTP/2); the ``grpcio`` package must be installed. - """ - - _grpc_channel: aio.Channel - _stubs: Dict[str, Callable] = {} - - @classmethod - def create_channel(cls, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - quota_project_id: Optional[str] = None, - **kwargs) -> aio.Channel: - """Create and return a gRPC AsyncIO channel object. - Args: - host (Optional[str]): The host for the channel to use. - credentials (Optional[~.Credentials]): The - authorization credentials to attach to requests. These - credentials identify this application to the service. If - none are specified, the client will attempt to ascertain - the credentials from the environment. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - kwargs (Optional[dict]): Keyword arguments, which are passed to the - channel creation. - Returns: - aio.Channel: A gRPC AsyncIO channel object. - """ - - return grpc_helpers_async.create_channel( - host, - credentials=credentials, - credentials_file=credentials_file, - quota_project_id=quota_project_id, - default_scopes=cls.AUTH_SCOPES, - scopes=scopes, - default_host=cls.DEFAULT_HOST, - **kwargs - ) - - def __init__(self, *, - host: str = 'memcache.googleapis.com', - credentials: ga_credentials.Credentials = None, - credentials_file: Optional[str] = None, - scopes: Optional[Sequence[str]] = None, - channel: aio.Channel = None, - api_mtls_endpoint: str = None, - client_cert_source: Callable[[], Tuple[bytes, bytes]] = None, - ssl_channel_credentials: grpc.ChannelCredentials = None, - client_cert_source_for_mtls: Callable[[], Tuple[bytes, bytes]] = None, - quota_project_id=None, - client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO, - always_use_jwt_access: Optional[bool] = False, - api_audience: Optional[str] = None, - ) -> None: - """Instantiate the transport. - - Args: - host (Optional[str]): - The hostname to connect to. - credentials (Optional[google.auth.credentials.Credentials]): The - authorization credentials to attach to requests. These - credentials identify the application to the service; if none - are specified, the client will attempt to ascertain the - credentials from the environment. - This argument is ignored if ``channel`` is provided. - credentials_file (Optional[str]): A file with credentials that can - be loaded with :func:`google.auth.load_credentials_from_file`. - This argument is ignored if ``channel`` is provided. - scopes (Optional[Sequence[str]]): A optional list of scopes needed for this - service. These are only used when credentials are not specified and - are passed to :func:`google.auth.default`. - channel (Optional[aio.Channel]): A ``Channel`` instance through - which to make calls. - api_mtls_endpoint (Optional[str]): Deprecated. The mutual TLS endpoint. - If provided, it overrides the ``host`` argument and tries to create - a mutual TLS channel with client SSL credentials from - ``client_cert_source`` or application default SSL credentials. - client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): - Deprecated. A callback to provide client SSL certificate bytes and - private key bytes, both in PEM format. It is ignored if - ``api_mtls_endpoint`` is None. - ssl_channel_credentials (grpc.ChannelCredentials): SSL credentials - for the grpc channel. It is ignored if ``channel`` is provided. - client_cert_source_for_mtls (Optional[Callable[[], Tuple[bytes, bytes]]]): - A callback to provide client certificate bytes and private key bytes, - both in PEM format. It is used to configure a mutual TLS channel. It is - ignored if ``channel`` or ``ssl_channel_credentials`` is provided. - quota_project_id (Optional[str]): An optional project to use for billing - and quota. - client_info (google.api_core.gapic_v1.client_info.ClientInfo): - The client info used to send a user-agent string along with - API requests. If ``None``, then default info will be used. - Generally, you only need to set this if you're developing - your own client library. - always_use_jwt_access (Optional[bool]): Whether self signed JWT should - be used for service account credentials. - - Raises: - google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport - creation failed for any reason. - google.api_core.exceptions.DuplicateCredentialArgs: If both ``credentials`` - and ``credentials_file`` are passed. - """ - self._grpc_channel = None - self._ssl_channel_credentials = ssl_channel_credentials - self._stubs: Dict[str, Callable] = {} - self._operations_client: Optional[operations_v1.OperationsAsyncClient] = None - - if api_mtls_endpoint: - warnings.warn("api_mtls_endpoint is deprecated", DeprecationWarning) - if client_cert_source: - warnings.warn("client_cert_source is deprecated", DeprecationWarning) - - if channel: - # Ignore credentials if a channel was passed. - credentials = False - # If a channel was explicitly provided, set it. - self._grpc_channel = channel - self._ssl_channel_credentials = None - else: - if api_mtls_endpoint: - host = api_mtls_endpoint - - # Create SSL credentials with client_cert_source or application - # default SSL credentials. - if client_cert_source: - cert, key = client_cert_source() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - else: - self._ssl_channel_credentials = SslCredentials().ssl_credentials - - else: - if client_cert_source_for_mtls and not ssl_channel_credentials: - cert, key = client_cert_source_for_mtls() - self._ssl_channel_credentials = grpc.ssl_channel_credentials( - certificate_chain=cert, private_key=key - ) - - # The base transport sets the host, credentials and scopes - super().__init__( - host=host, - credentials=credentials, - credentials_file=credentials_file, - scopes=scopes, - quota_project_id=quota_project_id, - client_info=client_info, - always_use_jwt_access=always_use_jwt_access, - api_audience=api_audience, - ) - - if not self._grpc_channel: - self._grpc_channel = type(self).create_channel( - self._host, - # use the credentials which are saved - credentials=self._credentials, - # Set ``credentials_file`` to ``None`` here as - # the credentials that we saved earlier should be used. - credentials_file=None, - scopes=self._scopes, - ssl_credentials=self._ssl_channel_credentials, - quota_project_id=quota_project_id, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Wrap messages. This must be done after self._grpc_channel exists - self._prep_wrapped_messages(client_info) - - @property - def grpc_channel(self) -> aio.Channel: - """Create the channel designed to connect to this service. - - This property caches on the instance; repeated calls return - the same channel. - """ - # Return the channel from cache. - return self._grpc_channel - - @property - def operations_client(self) -> operations_v1.OperationsAsyncClient: - """Create the client designed to process long-running operations. - - This property caches on the instance; repeated calls return the same - client. - """ - # Quick check: Only create a new client if we do not already have one. - if self._operations_client is None: - self._operations_client = operations_v1.OperationsAsyncClient( - self.grpc_channel - ) - - # Return the client from cache. - return self._operations_client - - @property - def list_instances(self) -> Callable[ - [cloud_memcache.ListInstancesRequest], - Awaitable[cloud_memcache.ListInstancesResponse]]: - r"""Return a callable for the list instances method over gRPC. - - Lists Instances in a given location. - - Returns: - Callable[[~.ListInstancesRequest], - Awaitable[~.ListInstancesResponse]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'list_instances' not in self._stubs: - self._stubs['list_instances'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ListInstances', - request_serializer=cloud_memcache.ListInstancesRequest.serialize, - response_deserializer=cloud_memcache.ListInstancesResponse.deserialize, - ) - return self._stubs['list_instances'] - - @property - def get_instance(self) -> Callable[ - [cloud_memcache.GetInstanceRequest], - Awaitable[cloud_memcache.Instance]]: - r"""Return a callable for the get instance method over gRPC. - - Gets details of a single Instance. - - Returns: - Callable[[~.GetInstanceRequest], - Awaitable[~.Instance]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'get_instance' not in self._stubs: - self._stubs['get_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/GetInstance', - request_serializer=cloud_memcache.GetInstanceRequest.serialize, - response_deserializer=cloud_memcache.Instance.deserialize, - ) - return self._stubs['get_instance'] - - @property - def create_instance(self) -> Callable[ - [cloud_memcache.CreateInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the create instance method over gRPC. - - Creates a new Instance in a given location. - - Returns: - Callable[[~.CreateInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'create_instance' not in self._stubs: - self._stubs['create_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/CreateInstance', - request_serializer=cloud_memcache.CreateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['create_instance'] - - @property - def update_instance(self) -> Callable[ - [cloud_memcache.UpdateInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the update instance method over gRPC. - - Updates an existing Instance in a given project and - location. - - Returns: - Callable[[~.UpdateInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_instance' not in self._stubs: - self._stubs['update_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateInstance', - request_serializer=cloud_memcache.UpdateInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_instance'] - - @property - def update_parameters(self) -> Callable[ - [cloud_memcache.UpdateParametersRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the update parameters method over gRPC. - - Updates the defined Memcached parameters for an existing - instance. This method only stages the parameters, it must be - followed by ``ApplyParameters`` to apply the parameters to nodes - of the Memcached instance. - - Returns: - Callable[[~.UpdateParametersRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'update_parameters' not in self._stubs: - self._stubs['update_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/UpdateParameters', - request_serializer=cloud_memcache.UpdateParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['update_parameters'] - - @property - def delete_instance(self) -> Callable[ - [cloud_memcache.DeleteInstanceRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the delete instance method over gRPC. - - Deletes a single Instance. - - Returns: - Callable[[~.DeleteInstanceRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'delete_instance' not in self._stubs: - self._stubs['delete_instance'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/DeleteInstance', - request_serializer=cloud_memcache.DeleteInstanceRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['delete_instance'] - - @property - def apply_parameters(self) -> Callable[ - [cloud_memcache.ApplyParametersRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the apply parameters method over gRPC. - - ``ApplyParameters`` restarts the set of specified nodes in order - to update them to the current set of parameters for the - Memcached Instance. - - Returns: - Callable[[~.ApplyParametersRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_parameters' not in self._stubs: - self._stubs['apply_parameters'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ApplyParameters', - request_serializer=cloud_memcache.ApplyParametersRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_parameters'] - - @property - def apply_software_update(self) -> Callable[ - [cloud_memcache.ApplySoftwareUpdateRequest], - Awaitable[operations_pb2.Operation]]: - r"""Return a callable for the apply software update method over gRPC. - - Updates software on the selected nodes of the - Instance. - - Returns: - Callable[[~.ApplySoftwareUpdateRequest], - Awaitable[~.Operation]]: - A function that, when called, will call the underlying RPC - on the server. - """ - # Generate a "stub function" on-the-fly which will actually make - # the request. - # gRPC handles serialization and deserialization, so we just need - # to pass in the functions for each. - if 'apply_software_update' not in self._stubs: - self._stubs['apply_software_update'] = self.grpc_channel.unary_unary( - '/google.cloud.memcache.v1beta2.CloudMemcache/ApplySoftwareUpdate', - request_serializer=cloud_memcache.ApplySoftwareUpdateRequest.serialize, - response_deserializer=operations_pb2.Operation.FromString, - ) - return self._stubs['apply_software_update'] - - def close(self): - return self.grpc_channel.close() - - -__all__ = ( - 'CloudMemcacheGrpcAsyncIOTransport', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py deleted file mode 100644 index c770908..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/__init__.py +++ /dev/null @@ -1,50 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -from .cloud_memcache import ( - ApplyParametersRequest, - ApplySoftwareUpdateRequest, - CreateInstanceRequest, - DeleteInstanceRequest, - GetInstanceRequest, - Instance, - ListInstancesRequest, - ListInstancesResponse, - LocationMetadata, - MemcacheParameters, - OperationMetadata, - UpdateInstanceRequest, - UpdateParametersRequest, - ZoneMetadata, - MemcacheVersion, -) - -__all__ = ( - 'ApplyParametersRequest', - 'ApplySoftwareUpdateRequest', - 'CreateInstanceRequest', - 'DeleteInstanceRequest', - 'GetInstanceRequest', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'LocationMetadata', - 'MemcacheParameters', - 'OperationMetadata', - 'UpdateInstanceRequest', - 'UpdateParametersRequest', - 'ZoneMetadata', - 'MemcacheVersion', -) diff --git a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py b/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py deleted file mode 100644 index f216a14..0000000 --- a/owl-bot-staging/v1beta2/google/cloud/memcache_v1beta2/types/cloud_memcache.py +++ /dev/null @@ -1,734 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import proto # type: ignore - -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore - - -__protobuf__ = proto.module( - package='google.cloud.memcache.v1beta2', - manifest={ - 'MemcacheVersion', - 'Instance', - 'ListInstancesRequest', - 'ListInstancesResponse', - 'GetInstanceRequest', - 'CreateInstanceRequest', - 'UpdateInstanceRequest', - 'DeleteInstanceRequest', - 'ApplyParametersRequest', - 'UpdateParametersRequest', - 'ApplySoftwareUpdateRequest', - 'MemcacheParameters', - 'OperationMetadata', - 'LocationMetadata', - 'ZoneMetadata', - }, -) - - -class MemcacheVersion(proto.Enum): - r"""Memcached versions supported by our service.""" - MEMCACHE_VERSION_UNSPECIFIED = 0 - MEMCACHE_1_5 = 1 - - -class Instance(proto.Message): - r"""A Memorystore for Memcached instance - - Attributes: - name (str): - Required. Unique name of the resource in this scope - including project and location using the form: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - - Note: Memcached instances are managed and addressed at the - regional level so ``location_id`` here refers to a Google - Cloud region; however, users may choose which zones - Memcached nodes should be provisioned in within an instance. - Refer to - [zones][google.cloud.memcache.v1beta2.Instance.zones] field - for more details. - display_name (str): - User provided name for the instance, which is - only used for display purposes. Cannot be more - than 80 characters. - labels (Mapping[str, str]): - Resource labels to represent user-provided - metadata. Refer to cloud documentation on labels - for more details. - https://cloud.google.com/compute/docs/labeling-resources - authorized_network (str): - The full name of the Google Compute Engine - `network `__ to which - the instance is connected. If left unspecified, the - ``default`` network will be used. - zones (Sequence[str]): - Zones in which Memcached nodes should be - provisioned. Memcached nodes will be equally - distributed across these zones. If not provided, - the service will by default create nodes in all - zones in the region for the instance. - node_count (int): - Required. Number of nodes in the Memcached - instance. - node_config (google.cloud.memcache_v1beta2.types.Instance.NodeConfig): - Required. Configuration for Memcached nodes. - memcache_version (google.cloud.memcache_v1beta2.types.MemcacheVersion): - The major version of Memcached software. If not provided, - latest supported version will be used. Currently the latest - supported major version is ``MEMCACHE_1_5``. The minor - version will be automatically determined by our system based - on the latest supported minor version. - parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): - Optional: User defined parameters to apply to - the memcached process on each node. - memcache_nodes (Sequence[google.cloud.memcache_v1beta2.types.Instance.Node]): - Output only. List of Memcached nodes. Refer to - [Node][google.cloud.memcache.v1beta2.Instance.Node] message - for more details. - create_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. The time the instance was - created. - update_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. The time the instance was - updated. - state (google.cloud.memcache_v1beta2.types.Instance.State): - Output only. The state of this Memcached - instance. - memcache_full_version (str): - Output only. The full version of memcached - server running on this instance. System - automatically determines the full memcached - version for an instance based on the input - MemcacheVersion. - The full version format will be - "memcached-1.5.16". - instance_messages (Sequence[google.cloud.memcache_v1beta2.types.Instance.InstanceMessage]): - List of messages that describe the current - state of the Memcached instance. - discovery_endpoint (str): - Output only. Endpoint for the Discovery API. - update_available (bool): - Output only. Returns true if there is an - update waiting to be applied - """ - class State(proto.Enum): - r"""Different states of a Memcached instance.""" - STATE_UNSPECIFIED = 0 - CREATING = 1 - READY = 2 - DELETING = 4 - PERFORMING_MAINTENANCE = 5 - - class NodeConfig(proto.Message): - r"""Configuration for a Memcached Node. - - Attributes: - cpu_count (int): - Required. Number of cpus per Memcached node. - memory_size_mb (int): - Required. Memory size in MiB for each - Memcached node. - """ - - cpu_count = proto.Field( - proto.INT32, - number=1, - ) - memory_size_mb = proto.Field( - proto.INT32, - number=2, - ) - - class Node(proto.Message): - r""" - - Attributes: - node_id (str): - Output only. Identifier of the Memcached - node. The node id does not include project or - location like the Memcached instance name. - zone (str): - Output only. Location (GCP Zone) for the - Memcached node. - state (google.cloud.memcache_v1beta2.types.Instance.Node.State): - Output only. Current state of the Memcached - node. - host (str): - Output only. Hostname or IP address of the - Memcached node used by the clients to connect to - the Memcached server on this node. - port (int): - Output only. The port number of the Memcached - server on this node. - parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): - User defined parameters currently applied to - the node. - update_available (bool): - Output only. Returns true if there is an - update waiting to be applied - """ - class State(proto.Enum): - r"""Different states of a Memcached node.""" - STATE_UNSPECIFIED = 0 - CREATING = 1 - READY = 2 - DELETING = 3 - UPDATING = 4 - - node_id = proto.Field( - proto.STRING, - number=1, - ) - zone = proto.Field( - proto.STRING, - number=2, - ) - state = proto.Field( - proto.ENUM, - number=3, - enum='Instance.Node.State', - ) - host = proto.Field( - proto.STRING, - number=4, - ) - port = proto.Field( - proto.INT32, - number=5, - ) - parameters = proto.Field( - proto.MESSAGE, - number=6, - message='MemcacheParameters', - ) - update_available = proto.Field( - proto.BOOL, - number=7, - ) - - class InstanceMessage(proto.Message): - r""" - - Attributes: - code (google.cloud.memcache_v1beta2.types.Instance.InstanceMessage.Code): - A code that correspond to one type of - user-facing message. - message (str): - Message on memcached instance which will be - exposed to users. - """ - class Code(proto.Enum): - r"""""" - CODE_UNSPECIFIED = 0 - ZONE_DISTRIBUTION_UNBALANCED = 1 - - code = proto.Field( - proto.ENUM, - number=1, - enum='Instance.InstanceMessage.Code', - ) - message = proto.Field( - proto.STRING, - number=2, - ) - - name = proto.Field( - proto.STRING, - number=1, - ) - display_name = proto.Field( - proto.STRING, - number=2, - ) - labels = proto.MapField( - proto.STRING, - proto.STRING, - number=3, - ) - authorized_network = proto.Field( - proto.STRING, - number=4, - ) - zones = proto.RepeatedField( - proto.STRING, - number=5, - ) - node_count = proto.Field( - proto.INT32, - number=6, - ) - node_config = proto.Field( - proto.MESSAGE, - number=7, - message=NodeConfig, - ) - memcache_version = proto.Field( - proto.ENUM, - number=9, - enum='MemcacheVersion', - ) - parameters = proto.Field( - proto.MESSAGE, - number=11, - message='MemcacheParameters', - ) - memcache_nodes = proto.RepeatedField( - proto.MESSAGE, - number=12, - message=Node, - ) - create_time = proto.Field( - proto.MESSAGE, - number=13, - message=timestamp_pb2.Timestamp, - ) - update_time = proto.Field( - proto.MESSAGE, - number=14, - message=timestamp_pb2.Timestamp, - ) - state = proto.Field( - proto.ENUM, - number=15, - enum=State, - ) - memcache_full_version = proto.Field( - proto.STRING, - number=18, - ) - instance_messages = proto.RepeatedField( - proto.MESSAGE, - number=19, - message=InstanceMessage, - ) - discovery_endpoint = proto.Field( - proto.STRING, - number=20, - ) - update_available = proto.Field( - proto.BOOL, - number=21, - ) - - -class ListInstancesRequest(proto.Message): - r"""Request for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - - Attributes: - parent (str): - Required. The resource name of the instance location using - the form: ``projects/{project_id}/locations/{location_id}`` - where ``location_id`` refers to a GCP region - page_size (int): - The maximum number of items to return. - - If not specified, a default value of 1000 will be used by - the service. Regardless of the ``page_size`` value, the - response may include a partial list and a caller should only - rely on response's - [``next_page_token``][google.cloud.memcache.v1beta2.ListInstancesResponse.next_page_token] - to determine if there are more instances left to be queried. - page_token (str): - The ``next_page_token`` value returned from a previous List - request, if any. - filter (str): - List filter. For example, exclude all Memcached instances - with name as my-instance by specifying - ``"name != my-instance"``. - order_by (str): - Sort results. Supported values are "name", - "name desc" or "" (unsorted). - """ - - parent = proto.Field( - proto.STRING, - number=1, - ) - page_size = proto.Field( - proto.INT32, - number=2, - ) - page_token = proto.Field( - proto.STRING, - number=3, - ) - filter = proto.Field( - proto.STRING, - number=4, - ) - order_by = proto.Field( - proto.STRING, - number=5, - ) - - -class ListInstancesResponse(proto.Message): - r"""Response for - [ListInstances][google.cloud.memcache.v1beta2.CloudMemcache.ListInstances]. - - Attributes: - resources (Sequence[google.cloud.memcache_v1beta2.types.Instance]): - A list of Memcached instances in the project in the - specified location, or across all locations. - - If the ``location_id`` in the parent field of the request is - "-", all regions available to the project are queried, and - the results aggregated. - next_page_token (str): - Token to retrieve the next page of results, - or empty if there are no more results in the - list. - unreachable (Sequence[str]): - Locations that could not be reached. - """ - - @property - def raw_page(self): - return self - - resources = proto.RepeatedField( - proto.MESSAGE, - number=1, - message='Instance', - ) - next_page_token = proto.Field( - proto.STRING, - number=2, - ) - unreachable = proto.RepeatedField( - proto.STRING, - number=3, - ) - - -class GetInstanceRequest(proto.Message): - r"""Request for - [GetInstance][google.cloud.memcache.v1beta2.CloudMemcache.GetInstance]. - - Attributes: - name (str): - Required. Memcached instance resource name in the format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - - -class CreateInstanceRequest(proto.Message): - r"""Request for - [CreateInstance][google.cloud.memcache.v1beta2.CloudMemcache.CreateInstance]. - - Attributes: - parent (str): - Required. The resource name of the instance location using - the form: ``projects/{project_id}/locations/{location_id}`` - where ``location_id`` refers to a GCP region - instance_id (str): - Required. The logical name of the Memcached instance in the - user project with the following restrictions: - - - Must contain only lowercase letters, numbers, and - hyphens. - - Must start with a letter. - - Must be between 1-40 characters. - - Must end with a number or a letter. - - Must be unique within the user project / location. - - If any of the above are not met, the API raises an invalid - argument error. - resource (google.cloud.memcache_v1beta2.types.Instance): - Required. A Memcached [Instance] resource - """ - - parent = proto.Field( - proto.STRING, - number=1, - ) - instance_id = proto.Field( - proto.STRING, - number=2, - ) - resource = proto.Field( - proto.MESSAGE, - number=3, - message='Instance', - ) - - -class UpdateInstanceRequest(proto.Message): - r"""Request for - [UpdateInstance][google.cloud.memcache.v1beta2.CloudMemcache.UpdateInstance]. - - Attributes: - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - - - ``displayName`` - resource (google.cloud.memcache_v1beta2.types.Instance): - Required. A Memcached [Instance] resource. Only fields - specified in update_mask are updated. - """ - - update_mask = proto.Field( - proto.MESSAGE, - number=1, - message=field_mask_pb2.FieldMask, - ) - resource = proto.Field( - proto.MESSAGE, - number=2, - message='Instance', - ) - - -class DeleteInstanceRequest(proto.Message): - r"""Request for - [DeleteInstance][google.cloud.memcache.v1beta2.CloudMemcache.DeleteInstance]. - - Attributes: - name (str): - Required. Memcached instance resource name in the format: - ``projects/{project_id}/locations/{location_id}/instances/{instance_id}`` - where ``location_id`` refers to a GCP region - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - - -class ApplyParametersRequest(proto.Message): - r"""Request for - [ApplyParameters][google.cloud.memcache.v1beta2.CloudMemcache.ApplyParameters]. - - Attributes: - name (str): - Required. Resource name of the Memcached - instance for which parameter group updates - should be applied. - node_ids (Sequence[str]): - Nodes to which the instance-level parameter - group is applied. - apply_all (bool): - Whether to apply instance-level parameter group to all - nodes. If set to true, users are restricted from specifying - individual nodes, and ``ApplyParameters`` updates all nodes - within the instance. - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - node_ids = proto.RepeatedField( - proto.STRING, - number=2, - ) - apply_all = proto.Field( - proto.BOOL, - number=3, - ) - - -class UpdateParametersRequest(proto.Message): - r"""Request for - [UpdateParameters][google.cloud.memcache.v1beta2.CloudMemcache.UpdateParameters]. - - Attributes: - name (str): - Required. Resource name of the Memcached - instance for which the parameters should be - updated. - update_mask (google.protobuf.field_mask_pb2.FieldMask): - Required. Mask of fields to update. - parameters (google.cloud.memcache_v1beta2.types.MemcacheParameters): - The parameters to apply to the instance. - """ - - name = proto.Field( - proto.STRING, - number=1, - ) - update_mask = proto.Field( - proto.MESSAGE, - number=2, - message=field_mask_pb2.FieldMask, - ) - parameters = proto.Field( - proto.MESSAGE, - number=3, - message='MemcacheParameters', - ) - - -class ApplySoftwareUpdateRequest(proto.Message): - r"""Request for - [ApplySoftwareUpdate][google.cloud.memcache.v1beta2.CloudMemcache.ApplySoftwareUpdate]. - - Attributes: - instance (str): - Required. Resource name of the Memcached - instance for which software update should be - applied. - node_ids (Sequence[str]): - Nodes to which we should apply the update to. - Note all the selected nodes are updated in - parallel. - apply_all (bool): - Whether to apply the update to all nodes. If - set to true, will explicitly restrict users from - specifying any nodes, and apply software update - to all nodes (where applicable) within the - instance. - """ - - instance = proto.Field( - proto.STRING, - number=1, - ) - node_ids = proto.RepeatedField( - proto.STRING, - number=2, - ) - apply_all = proto.Field( - proto.BOOL, - number=3, - ) - - -class MemcacheParameters(proto.Message): - r"""The unique ID associated with this set of parameters. Users - can use this id to determine if the parameters associated with - the instance differ from the parameters associated with the - nodes. A discrepancy between parameter ids can inform users that - they may need to take action to apply parameters on nodes. - - Attributes: - id (str): - Output only. - params (Mapping[str, str]): - User defined set of parameters to use in the - memcached process. - """ - - id = proto.Field( - proto.STRING, - number=1, - ) - params = proto.MapField( - proto.STRING, - proto.STRING, - number=3, - ) - - -class OperationMetadata(proto.Message): - r"""Represents the metadata of a long-running operation. - - Attributes: - create_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. Time when the operation was - created. - end_time (google.protobuf.timestamp_pb2.Timestamp): - Output only. Time when the operation finished - running. - target (str): - Output only. Server-defined resource path for - the target of the operation. - verb (str): - Output only. Name of the verb executed by the - operation. - status_detail (str): - Output only. Human-readable status of the - operation, if any. - cancel_requested (bool): - Output only. Identifies whether the user has requested - cancellation of the operation. Operations that have - successfully been cancelled have [Operation.error][] value - with a [google.rpc.Status.code][google.rpc.Status.code] of - 1, corresponding to ``Code.CANCELLED``. - api_version (str): - Output only. API version used to start the - operation. - """ - - create_time = proto.Field( - proto.MESSAGE, - number=1, - message=timestamp_pb2.Timestamp, - ) - end_time = proto.Field( - proto.MESSAGE, - number=2, - message=timestamp_pb2.Timestamp, - ) - target = proto.Field( - proto.STRING, - number=3, - ) - verb = proto.Field( - proto.STRING, - number=4, - ) - status_detail = proto.Field( - proto.STRING, - number=5, - ) - cancel_requested = proto.Field( - proto.BOOL, - number=6, - ) - api_version = proto.Field( - proto.STRING, - number=7, - ) - - -class LocationMetadata(proto.Message): - r"""Metadata for the given - [google.cloud.location.Location][google.cloud.location.Location]. - - Attributes: - available_zones (Mapping[str, google.cloud.memcache_v1beta2.types.ZoneMetadata]): - Output only. The set of available zones in the location. The - map is keyed by the lowercase ID of each zone, as defined by - GCE. These keys can be specified in the ``zones`` field when - creating a Memcached instance. - """ - - available_zones = proto.MapField( - proto.STRING, - proto.MESSAGE, - number=1, - message='ZoneMetadata', - ) - - -class ZoneMetadata(proto.Message): - r""" - """ - - -__all__ = tuple(sorted(__protobuf__.manifest)) diff --git a/owl-bot-staging/v1beta2/mypy.ini b/owl-bot-staging/v1beta2/mypy.ini deleted file mode 100644 index 4505b48..0000000 --- a/owl-bot-staging/v1beta2/mypy.ini +++ /dev/null @@ -1,3 +0,0 @@ -[mypy] -python_version = 3.6 -namespace_packages = True diff --git a/owl-bot-staging/v1beta2/noxfile.py b/owl-bot-staging/v1beta2/noxfile.py deleted file mode 100644 index 29c0f16..0000000 --- a/owl-bot-staging/v1beta2/noxfile.py +++ /dev/null @@ -1,180 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import os -import pathlib -import shutil -import subprocess -import sys - - -import nox # type: ignore - -ALL_PYTHON = [ - "3.6", - "3.7", - "3.8", - "3.9", - "3.10", -] - -CURRENT_DIRECTORY = pathlib.Path(__file__).parent.absolute() - -LOWER_BOUND_CONSTRAINTS_FILE = CURRENT_DIRECTORY / "constraints.txt" -PACKAGE_NAME = subprocess.check_output([sys.executable, "setup.py", "--name"], encoding="utf-8") - -BLACK_VERSION = "black==19.10b0" -BLACK_PATHS = ["docs", "google", "tests", "samples", "noxfile.py", "setup.py"] -DEFAULT_PYTHON_VERSION = "3.9" - -nox.sessions = [ - "unit", - "cover", - "mypy", - "check_lower_bounds" - # exclude update_lower_bounds from default - "docs", - "blacken", - "lint", - "lint_setup_py", -] - -@nox.session(python=ALL_PYTHON) -def unit(session): - """Run the unit test suite.""" - - session.install('coverage', 'pytest', 'pytest-cov', 'pytest-asyncio', 'asyncmock; python_version < "3.8"') - session.install('-e', '.') - - session.run( - 'py.test', - '--quiet', - '--cov=google/cloud/memcache_v1beta2/', - '--cov=tests/', - '--cov-config=.coveragerc', - '--cov-report=term', - '--cov-report=html', - os.path.join('tests', 'unit', ''.join(session.posargs)) - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def cover(session): - """Run the final coverage report. - This outputs the coverage report aggregating coverage from the unit - test runs (not system test runs), and then erases coverage data. - """ - session.install("coverage", "pytest-cov") - session.run("coverage", "report", "--show-missing", "--fail-under=100") - - session.run("coverage", "erase") - - -@nox.session(python=ALL_PYTHON) -def mypy(session): - """Run the type checker.""" - session.install('mypy', 'types-pkg_resources') - session.install('.') - session.run( - 'mypy', - '--explicit-package-bases', - 'google', - ) - - -@nox.session -def update_lower_bounds(session): - """Update lower bounds in constraints.txt to match setup.py""" - session.install('google-cloud-testutils') - session.install('.') - - session.run( - 'lower-bound-checker', - 'update', - '--package-name', - PACKAGE_NAME, - '--constraints-file', - str(LOWER_BOUND_CONSTRAINTS_FILE), - ) - - -@nox.session -def check_lower_bounds(session): - """Check lower bounds in setup.py are reflected in constraints file""" - session.install('google-cloud-testutils') - session.install('.') - - session.run( - 'lower-bound-checker', - 'check', - '--package-name', - PACKAGE_NAME, - '--constraints-file', - str(LOWER_BOUND_CONSTRAINTS_FILE), - ) - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def docs(session): - """Build the docs for this library.""" - - session.install("-e", ".") - session.install("sphinx==4.0.1", "alabaster", "recommonmark") - - shutil.rmtree(os.path.join("docs", "_build"), ignore_errors=True) - session.run( - "sphinx-build", - "-W", # warnings as errors - "-T", # show full traceback on exception - "-N", # no colors - "-b", - "html", - "-d", - os.path.join("docs", "_build", "doctrees", ""), - os.path.join("docs", ""), - os.path.join("docs", "_build", "html", ""), - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def lint(session): - """Run linters. - - Returns a failure if the linters find linting errors or sufficiently - serious code quality issues. - """ - session.install("flake8", BLACK_VERSION) - session.run( - "black", - "--check", - *BLACK_PATHS, - ) - session.run("flake8", "google", "tests", "samples") - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def blacken(session): - """Run black. Format code to uniform standard.""" - session.install(BLACK_VERSION) - session.run( - "black", - *BLACK_PATHS, - ) - - -@nox.session(python=DEFAULT_PYTHON_VERSION) -def lint_setup_py(session): - """Verify that setup.py is valid (including RST check).""" - session.install("docutils", "pygments") - session.run("python", "setup.py", "check", "--restructuredtext", "--strict") diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py deleted file mode 100644 index eef58f6..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplyParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ApplyParameters_async] -from google.cloud import memcache_v1beta2 - - -async def sample_apply_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ApplyParameters_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py deleted file mode 100644 index 159a37c..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_parameters_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplyParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ApplyParameters_sync] -from google.cloud import memcache_v1beta2 - - -def sample_apply_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplyParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.apply_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ApplyParameters_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py deleted file mode 100644 index 7cdcda9..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplySoftwareUpdate -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_async] -from google.cloud import memcache_v1beta2 - - -async def sample_apply_software_update(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplySoftwareUpdateRequest( - instance="instance_value", - ) - - # Make the request - operation = client.apply_software_update(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py deleted file mode 100644 index f3d7fef..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_apply_software_update_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ApplySoftwareUpdate -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_sync] -from google.cloud import memcache_v1beta2 - - -def sample_apply_software_update(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ApplySoftwareUpdateRequest( - instance="instance_value", - ) - - # Make the request - operation = client.apply_software_update(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ApplySoftwareUpdate_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py deleted file mode 100644 index aa17117..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_async.py +++ /dev/null @@ -1,57 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for CreateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_CreateInstance_async] -from google.cloud import memcache_v1beta2 - - -async def sample_create_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - resource=resource, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_CreateInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py deleted file mode 100644 index f1ec09e..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_create_instance_sync.py +++ /dev/null @@ -1,57 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for CreateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_CreateInstance_sync] -from google.cloud import memcache_v1beta2 - - -def sample_create_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.CreateInstanceRequest( - parent="parent_value", - instance_id="instance_id_value", - resource=resource, - ) - - # Make the request - operation = client.create_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_CreateInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py deleted file mode 100644 index f7a715b..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for DeleteInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_DeleteInstance_async] -from google.cloud import memcache_v1beta2 - - -async def sample_delete_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_DeleteInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py deleted file mode 100644 index 497447a..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_delete_instance_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for DeleteInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_DeleteInstance_sync] -from google.cloud import memcache_v1beta2 - - -def sample_delete_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.DeleteInstanceRequest( - name="name_value", - ) - - # Make the request - operation = client.delete_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_DeleteInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py deleted file mode 100644 index a17c364..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_async.py +++ /dev/null @@ -1,45 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for GetInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_GetInstance_async] -from google.cloud import memcache_v1beta2 - - -async def sample_get_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = await client.get_instance(request=request) - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_GetInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py deleted file mode 100644 index aa391b1..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_get_instance_sync.py +++ /dev/null @@ -1,45 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for GetInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_GetInstance_sync] -from google.cloud import memcache_v1beta2 - - -def sample_get_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.GetInstanceRequest( - name="name_value", - ) - - # Make the request - response = client.get_instance(request=request) - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_GetInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py deleted file mode 100644 index 860b2f0..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_async.py +++ /dev/null @@ -1,46 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ListInstances -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ListInstances_async] -from google.cloud import memcache_v1beta2 - - -async def sample_list_instances(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - async for response in page_result: - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ListInstances_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py deleted file mode 100644 index a4d39a4..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_list_instances_sync.py +++ /dev/null @@ -1,46 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for ListInstances -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_ListInstances_sync] -from google.cloud import memcache_v1beta2 - - -def sample_list_instances(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.ListInstancesRequest( - parent="parent_value", - ) - - # Make the request - page_result = client.list_instances(request=request) - - # Handle the response - for response in page_result: - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_ListInstances_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py deleted file mode 100644 index a7d90c8..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_async.py +++ /dev/null @@ -1,55 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_UpdateInstance_async] -from google.cloud import memcache_v1beta2 - - -async def sample_update_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.UpdateInstanceRequest( - resource=resource, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_UpdateInstance_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py deleted file mode 100644 index e3e4e0c..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_instance_sync.py +++ /dev/null @@ -1,55 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateInstance -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_UpdateInstance_sync] -from google.cloud import memcache_v1beta2 - - -def sample_update_instance(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - resource = memcache_v1beta2.Instance() - resource.name = "name_value" - resource.node_count = 1070 - resource.node_config.cpu_count = 976 - resource.node_config.memory_size_mb = 1505 - - request = memcache_v1beta2.UpdateInstanceRequest( - resource=resource, - ) - - # Make the request - operation = client.update_instance(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_UpdateInstance_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py deleted file mode 100644 index 6ddba29..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_async.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_UpdateParameters_async] -from google.cloud import memcache_v1beta2 - - -async def sample_update_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheAsyncClient() - - # Initialize request argument(s) - request = memcache_v1beta2.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = await operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_UpdateParameters_async] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py b/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py deleted file mode 100644 index bea149a..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py +++ /dev/null @@ -1,49 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -# Generated code. DO NOT EDIT! -# -# Snippet for UpdateParameters -# NOTE: This snippet has been automatically generated for illustrative purposes only. -# It may require modifications to work in your environment. - -# To install the latest published package dependency, execute the following: -# python3 -m pip install google-cloud-memcache - - -# [START memcache_v1beta2_generated_CloudMemcache_UpdateParameters_sync] -from google.cloud import memcache_v1beta2 - - -def sample_update_parameters(): - # Create a client - client = memcache_v1beta2.CloudMemcacheClient() - - # Initialize request argument(s) - request = memcache_v1beta2.UpdateParametersRequest( - name="name_value", - ) - - # Make the request - operation = client.update_parameters(request=request) - - print("Waiting for operation to complete...") - - response = operation.result() - - # Handle the response - print(response) - -# [END memcache_v1beta2_generated_CloudMemcache_UpdateParameters_sync] diff --git a/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json b/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json deleted file mode 100644 index d2dd1a7..0000000 --- a/owl-bot-staging/v1beta2/samples/generated_samples/snippet_metadata_memcache_v1beta2.json +++ /dev/null @@ -1,1374 +0,0 @@ -{ - 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{ - "name": "request", - "type": "google.cloud.memcache_v1beta2.types.UpdateParametersRequest" - }, - { - "name": "name", - "type": "str" - }, - { - "name": "update_mask", - "type": "google.protobuf.field_mask_pb2.FieldMask" - }, - { - "name": "parameters", - "type": "google.cloud.memcache_v1beta2.types.MemcacheParameters" - }, - { - "name": "retry", - "type": "google.api_core.retry.Retry" - }, - { - "name": "timeout", - "type": "float" - }, - { - "name": "metadata", - "type": "Sequence[Tuple[str, str]" - } - ], - "resultType": "google.api_core.operation.Operation", - "shortName": "update_parameters" - }, - "description": "Sample for UpdateParameters", - "file": "memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py", - "language": "PYTHON", - "origin": "API_DEFINITION", - "regionTag": "memcache_v1beta2_generated_CloudMemcache_UpdateParameters_sync", - "segments": [ - { - "end": 48, - "start": 27, - "type": "FULL" - }, - { - "end": 48, - "start": 27, - "type": "SHORT" - }, - { - "end": 33, - "start": 31, - "type": "CLIENT_INITIALIZATION" - }, - { - "end": 38, - "start": 34, - "type": "REQUEST_INITIALIZATION" - }, - { - "end": 45, - "start": 39, - "type": "REQUEST_EXECUTION" - }, - { - "end": 49, - "start": 46, - "type": "RESPONSE_HANDLING" - } - ], - "title": "memcache_v1beta2_generated_cloud_memcache_update_parameters_sync.py" - } - ] -} diff --git a/owl-bot-staging/v1beta2/scripts/fixup_memcache_v1beta2_keywords.py b/owl-bot-staging/v1beta2/scripts/fixup_memcache_v1beta2_keywords.py deleted file mode 100644 index 4b5aa32..0000000 --- a/owl-bot-staging/v1beta2/scripts/fixup_memcache_v1beta2_keywords.py +++ /dev/null @@ -1,183 +0,0 @@ -#! /usr/bin/env python3 -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import argparse -import os -import libcst as cst -import pathlib -import sys -from typing import (Any, Callable, Dict, List, Sequence, Tuple) - - -def partition( - predicate: Callable[[Any], bool], - iterator: Sequence[Any] -) -> Tuple[List[Any], List[Any]]: - """A stable, out-of-place partition.""" - results = ([], []) - - for i in iterator: - results[int(predicate(i))].append(i) - - # Returns trueList, falseList - return results[1], results[0] - - -class memcacheCallTransformer(cst.CSTTransformer): - CTRL_PARAMS: Tuple[str] = ('retry', 'timeout', 'metadata') - METHOD_TO_PARAMS: Dict[str, Tuple[str]] = { - 'apply_parameters': ('name', 'node_ids', 'apply_all', ), - 'apply_software_update': ('instance', 'node_ids', 'apply_all', ), - 'create_instance': ('parent', 'instance_id', 'resource', ), - 'delete_instance': ('name', ), - 'get_instance': ('name', ), - 'list_instances': ('parent', 'page_size', 'page_token', 'filter', 'order_by', ), - 'update_instance': ('update_mask', 'resource', ), - 'update_parameters': ('name', 'update_mask', 'parameters', ), - } - - def leave_Call(self, original: cst.Call, updated: cst.Call) -> cst.CSTNode: - try: - key = original.func.attr.value - kword_params = self.METHOD_TO_PARAMS[key] - except (AttributeError, KeyError): - # Either not a method from the API or too convoluted to be sure. - return updated - - # If the existing code is valid, keyword args come after positional args. - # Therefore, all positional args must map to the first parameters. - args, kwargs = partition(lambda a: not bool(a.keyword), updated.args) - if any(k.keyword.value == "request" for k in kwargs): - # We've already fixed this file, don't fix it again. - return updated - - kwargs, ctrl_kwargs = partition( - lambda a: a.keyword.value not in self.CTRL_PARAMS, - kwargs - ) - - args, ctrl_args = args[:len(kword_params)], args[len(kword_params):] - ctrl_kwargs.extend(cst.Arg(value=a.value, keyword=cst.Name(value=ctrl)) - for a, ctrl in zip(ctrl_args, self.CTRL_PARAMS)) - - request_arg = cst.Arg( - value=cst.Dict([ - cst.DictElement( - cst.SimpleString("'{}'".format(name)), -cst.Element(value=arg.value) - ) - # Note: the args + kwargs looks silly, but keep in mind that - # the control parameters had to be stripped out, and that - # those could have been passed positionally or by keyword. - for name, arg in zip(kword_params, args + kwargs)]), - keyword=cst.Name("request") - ) - - return updated.with_changes( - args=[request_arg] + ctrl_kwargs - ) - - -def fix_files( - in_dir: pathlib.Path, - out_dir: pathlib.Path, - *, - transformer=memcacheCallTransformer(), -): - """Duplicate the input dir to the output dir, fixing file method calls. - - Preconditions: - * in_dir is a real directory - * out_dir is a real, empty directory - """ - pyfile_gen = ( - pathlib.Path(os.path.join(root, f)) - for root, _, files in os.walk(in_dir) - for f in files if os.path.splitext(f)[1] == ".py" - ) - - for fpath in pyfile_gen: - with open(fpath, 'r') as f: - src = f.read() - - # Parse the code and insert method call fixes. - tree = cst.parse_module(src) - updated = tree.visit(transformer) - - # Create the path and directory structure for the new file. - updated_path = out_dir.joinpath(fpath.relative_to(in_dir)) - updated_path.parent.mkdir(parents=True, exist_ok=True) - - # Generate the updated source file at the corresponding path. - with open(updated_path, 'w') as f: - f.write(updated.code) - - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - description="""Fix up source that uses the memcache client library. - -The existing sources are NOT overwritten but are copied to output_dir with changes made. - -Note: This tool operates at a best-effort level at converting positional - parameters in client method calls to keyword based parameters. - Cases where it WILL FAIL include - A) * or ** expansion in a method call. - B) Calls via function or method alias (includes free function calls) - C) Indirect or dispatched calls (e.g. the method is looked up dynamically) - - These all constitute false negatives. The tool will also detect false - positives when an API method shares a name with another method. -""") - parser.add_argument( - '-d', - '--input-directory', - required=True, - dest='input_dir', - help='the input directory to walk for python files to fix up', - ) - parser.add_argument( - '-o', - '--output-directory', - required=True, - dest='output_dir', - help='the directory to output files fixed via un-flattening', - ) - args = parser.parse_args() - input_dir = pathlib.Path(args.input_dir) - output_dir = pathlib.Path(args.output_dir) - if not input_dir.is_dir(): - print( - f"input directory '{input_dir}' does not exist or is not a directory", - file=sys.stderr, - ) - sys.exit(-1) - - if not output_dir.is_dir(): - print( - f"output directory '{output_dir}' does not exist or is not a directory", - file=sys.stderr, - ) - sys.exit(-1) - - if os.listdir(output_dir): - print( - f"output directory '{output_dir}' is not empty", - file=sys.stderr, - ) - sys.exit(-1) - - fix_files(input_dir, output_dir) diff --git a/owl-bot-staging/v1beta2/setup.py b/owl-bot-staging/v1beta2/setup.py deleted file mode 100644 index a22e368..0000000 --- a/owl-bot-staging/v1beta2/setup.py +++ /dev/null @@ -1,59 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import io -import os -import setuptools # type: ignore - -version = '0.1.0' - -package_root = os.path.abspath(os.path.dirname(__file__)) - -readme_filename = os.path.join(package_root, 'README.rst') -with io.open(readme_filename, encoding='utf-8') as readme_file: - readme = readme_file.read() - -setuptools.setup( - name='google-cloud-memcache', - author="Google LLC", - author_email="googleapis-packages@google.com", - url="https://github.com/googleapis/python-google-cloud-memcache", - version=version, - long_description=readme, - packages=setuptools.PEP420PackageFinder.find(), - namespace_packages=('google', 'google.cloud'), - platforms='Posix; MacOS X; Windows', - include_package_data=True, - install_requires=( - 'google-api-core[grpc] >= 2.8.0, < 3.0.0dev', - 'libcst >= 0.2.5', - 'googleapis-common-protos >= 1.55.0, <2.0.0dev', - 'proto-plus >= 1.19.7', - ), - python_requires='>=3.6', - classifiers=[ - 'Development Status :: 3 - Alpha', - 'Intended Audience :: Developers', - 'Operating System :: OS Independent', - 'Programming Language :: Python :: 3.6', - 'Programming Language :: Python :: 3.7', - 'Programming Language :: Python :: 3.8', - 'Programming Language :: Python :: 3.9', - 'Programming Language :: Python :: 3.10', - 'Topic :: Internet', - 'Topic :: Software Development :: Libraries :: Python Modules', - ], - zip_safe=False, -) diff --git a/owl-bot-staging/v1beta2/tests/__init__.py b/owl-bot-staging/v1beta2/tests/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1beta2/tests/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1beta2/tests/unit/__init__.py b/owl-bot-staging/v1beta2/tests/unit/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1beta2/tests/unit/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py b/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1beta2/tests/unit/gapic/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py deleted file mode 100644 index 231bc12..0000000 --- a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# diff --git a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py b/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py deleted file mode 100644 index 22d6e3f..0000000 --- a/owl-bot-staging/v1beta2/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py +++ /dev/null @@ -1,3374 +0,0 @@ -# -*- coding: utf-8 -*- -# Copyright 2022 Google LLC -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -# -import os -# try/except added for compatibility with python < 3.8 -try: - from unittest import mock - from unittest.mock import AsyncMock -except ImportError: - import mock - -import grpc -from grpc.experimental import aio -import math -import pytest -from proto.marshal.rules.dates import DurationRule, TimestampRule - - -from google.api_core import client_options -from google.api_core import exceptions as core_exceptions -from google.api_core import future -from google.api_core import gapic_v1 -from google.api_core import grpc_helpers -from google.api_core import grpc_helpers_async -from google.api_core import operation -from google.api_core import operation_async # type: ignore -from google.api_core import operations_v1 -from google.api_core import path_template -from google.auth import credentials as ga_credentials -from google.auth.exceptions import MutualTLSChannelError -from google.cloud.memcache_v1beta2.services.cloud_memcache import CloudMemcacheAsyncClient -from google.cloud.memcache_v1beta2.services.cloud_memcache import CloudMemcacheClient -from google.cloud.memcache_v1beta2.services.cloud_memcache import pagers -from google.cloud.memcache_v1beta2.services.cloud_memcache import transports -from google.cloud.memcache_v1beta2.types import cloud_memcache -from google.longrunning import operations_pb2 -from google.oauth2 import service_account -from google.protobuf import field_mask_pb2 # type: ignore -from google.protobuf import timestamp_pb2 # type: ignore -import google.auth - - -def client_cert_source_callback(): - return b"cert bytes", b"key bytes" - - -# If default endpoint is localhost, then default mtls endpoint will be the same. -# This method modifies the default endpoint so the client can produce a different -# mtls endpoint for endpoint testing purposes. -def modify_default_endpoint(client): - return "foo.googleapis.com" if ("localhost" in client.DEFAULT_ENDPOINT) else client.DEFAULT_ENDPOINT - - -def test__get_default_mtls_endpoint(): - api_endpoint = "example.googleapis.com" - api_mtls_endpoint = "example.mtls.googleapis.com" - sandbox_endpoint = "example.sandbox.googleapis.com" - sandbox_mtls_endpoint = "example.mtls.sandbox.googleapis.com" - non_googleapi = "api.example.com" - - assert CloudMemcacheClient._get_default_mtls_endpoint(None) is None - assert CloudMemcacheClient._get_default_mtls_endpoint(api_endpoint) == api_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(api_mtls_endpoint) == api_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_endpoint) == sandbox_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(sandbox_mtls_endpoint) == sandbox_mtls_endpoint - assert CloudMemcacheClient._get_default_mtls_endpoint(non_googleapi) == non_googleapi - - -@pytest.mark.parametrize("client_class,transport_name", [ - (CloudMemcacheClient, "grpc"), - (CloudMemcacheAsyncClient, "grpc_asyncio"), -]) -def test_cloud_memcache_client_from_service_account_info(client_class, transport_name): - creds = ga_credentials.AnonymousCredentials() - with mock.patch.object(service_account.Credentials, 'from_service_account_info') as factory: - factory.return_value = creds - info = {"valid": True} - client = client_class.from_service_account_info(info, transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - - -@pytest.mark.parametrize("transport_class,transport_name", [ - (transports.CloudMemcacheGrpcTransport, "grpc"), - (transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -def test_cloud_memcache_client_service_account_always_use_jwt(transport_class, transport_name): - with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: - creds = service_account.Credentials(None, None, None) - transport = transport_class(credentials=creds, always_use_jwt_access=True) - use_jwt.assert_called_once_with(True) - - with mock.patch.object(service_account.Credentials, 'with_always_use_jwt_access', create=True) as use_jwt: - creds = service_account.Credentials(None, None, None) - transport = transport_class(credentials=creds, always_use_jwt_access=False) - use_jwt.assert_not_called() - - -@pytest.mark.parametrize("client_class,transport_name", [ - (CloudMemcacheClient, "grpc"), - (CloudMemcacheAsyncClient, "grpc_asyncio"), -]) -def test_cloud_memcache_client_from_service_account_file(client_class, transport_name): - creds = ga_credentials.AnonymousCredentials() - with mock.patch.object(service_account.Credentials, 'from_service_account_file') as factory: - factory.return_value = creds - client = client_class.from_service_account_file("dummy/file/path.json", transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - client = client_class.from_service_account_json("dummy/file/path.json", transport=transport_name) - assert client.transport._credentials == creds - assert isinstance(client, client_class) - - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - - -def test_cloud_memcache_client_get_transport_class(): - transport = CloudMemcacheClient.get_transport_class() - available_transports = [ - transports.CloudMemcacheGrpcTransport, - ] - assert transport in available_transports - - transport = CloudMemcacheClient.get_transport_class("grpc") - assert transport == transports.CloudMemcacheGrpcTransport - - -@pytest.mark.parametrize("client_class,transport_class,transport_name", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -def test_cloud_memcache_client_client_options(client_class, transport_class, transport_name): - # Check that if channel is provided we won't create a new one. - with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: - transport = transport_class( - credentials=ga_credentials.AnonymousCredentials() - ) - client = client_class(transport=transport) - gtc.assert_not_called() - - # Check that if channel is provided via str we will create a new one. - with mock.patch.object(CloudMemcacheClient, 'get_transport_class') as gtc: - client = client_class(transport=transport_name) - gtc.assert_called() - - # Check the case api_endpoint is provided. - options = client_options.ClientOptions(api_endpoint="squid.clam.whelk") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name, client_options=options) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host="squid.clam.whelk", - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is - # "never". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT is - # "always". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_MTLS_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case api_endpoint is not provided and GOOGLE_API_USE_MTLS_ENDPOINT has - # unsupported value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "Unsupported"}): - with pytest.raises(MutualTLSChannelError): - client = client_class(transport=transport_name) - - # Check the case GOOGLE_API_USE_CLIENT_CERTIFICATE has unsupported value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "Unsupported"}): - with pytest.raises(ValueError): - client = client_class(transport=transport_name) - - # Check the case quota_project_id is provided - options = client_options.ClientOptions(quota_project_id="octopus") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id="octopus", - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - # Check the case api_endpoint is provided - options = client_options.ClientOptions(api_audience="https://language.googleapis.com") - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience="https://language.googleapis.com" - ) - -@pytest.mark.parametrize("client_class,transport_class,transport_name,use_client_cert_env", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "true"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "true"), - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", "false"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", "false"), -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -@mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "auto"}) -def test_cloud_memcache_client_mtls_env_auto(client_class, transport_class, transport_name, use_client_cert_env): - # This tests the endpoint autoswitch behavior. Endpoint is autoswitched to the default - # mtls endpoint, if GOOGLE_API_USE_CLIENT_CERTIFICATE is "true" and client cert exists. - - # Check the case client_cert_source is provided. Whether client cert is used depends on - # GOOGLE_API_USE_CLIENT_CERTIFICATE value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - options = client_options.ClientOptions(client_cert_source=client_cert_source_callback) - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - - if use_client_cert_env == "false": - expected_client_cert_source = None - expected_host = client.DEFAULT_ENDPOINT - else: - expected_client_cert_source = client_cert_source_callback - expected_host = client.DEFAULT_MTLS_ENDPOINT - - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=expected_host, - scopes=None, - client_cert_source_for_mtls=expected_client_cert_source, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case ADC client cert is provided. Whether client cert is used depends on - # GOOGLE_API_USE_CLIENT_CERTIFICATE value. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - with mock.patch.object(transport_class, '__init__') as patched: - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): - with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=client_cert_source_callback): - if use_client_cert_env == "false": - expected_host = client.DEFAULT_ENDPOINT - expected_client_cert_source = None - else: - expected_host = client.DEFAULT_MTLS_ENDPOINT - expected_client_cert_source = client_cert_source_callback - - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=expected_host, - scopes=None, - client_cert_source_for_mtls=expected_client_cert_source, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # Check the case client_cert_source and ADC client cert are not provided. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": use_client_cert_env}): - with mock.patch.object(transport_class, '__init__') as patched: - with mock.patch("google.auth.transport.mtls.has_default_client_cert_source", return_value=False): - patched.return_value = None - client = client_class(transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - -@pytest.mark.parametrize("client_class", [ - CloudMemcacheClient, CloudMemcacheAsyncClient -]) -@mock.patch.object(CloudMemcacheClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheClient)) -@mock.patch.object(CloudMemcacheAsyncClient, "DEFAULT_ENDPOINT", modify_default_endpoint(CloudMemcacheAsyncClient)) -def test_cloud_memcache_client_get_mtls_endpoint_and_cert_source(client_class): - mock_client_cert_source = mock.Mock() - - # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "true". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - mock_api_endpoint = "foo" - options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) - assert api_endpoint == mock_api_endpoint - assert cert_source == mock_client_cert_source - - # Test the case GOOGLE_API_USE_CLIENT_CERTIFICATE is "false". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "false"}): - mock_client_cert_source = mock.Mock() - mock_api_endpoint = "foo" - options = client_options.ClientOptions(client_cert_source=mock_client_cert_source, api_endpoint=mock_api_endpoint) - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source(options) - assert api_endpoint == mock_api_endpoint - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "never". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "never"}): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "always". - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_MTLS_ENDPOINT": "always"}): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert doesn't exist. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=False): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_ENDPOINT - assert cert_source is None - - # Test the case GOOGLE_API_USE_MTLS_ENDPOINT is "auto" and default cert exists. - with mock.patch.dict(os.environ, {"GOOGLE_API_USE_CLIENT_CERTIFICATE": "true"}): - with mock.patch('google.auth.transport.mtls.has_default_client_cert_source', return_value=True): - with mock.patch('google.auth.transport.mtls.default_client_cert_source', return_value=mock_client_cert_source): - api_endpoint, cert_source = client_class.get_mtls_endpoint_and_cert_source() - assert api_endpoint == client_class.DEFAULT_MTLS_ENDPOINT - assert cert_source == mock_client_cert_source - - -@pytest.mark.parametrize("client_class,transport_class,transport_name", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc"), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio"), -]) -def test_cloud_memcache_client_client_options_scopes(client_class, transport_class, transport_name): - # Check the case scopes are provided. - options = client_options.ClientOptions( - scopes=["1", "2"], - ) - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=["1", "2"], - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - -@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), -]) -def test_cloud_memcache_client_client_options_credentials_file(client_class, transport_class, transport_name, grpc_helpers): - # Check the case credentials file is provided. - options = client_options.ClientOptions( - credentials_file="credentials.json" - ) - - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file="credentials.json", - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - -def test_cloud_memcache_client_client_options_from_dict(): - with mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheGrpcTransport.__init__') as grpc_transport: - grpc_transport.return_value = None - client = CloudMemcacheClient( - client_options={'api_endpoint': 'squid.clam.whelk'} - ) - grpc_transport.assert_called_once_with( - credentials=None, - credentials_file=None, - host="squid.clam.whelk", - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - -@pytest.mark.parametrize("client_class,transport_class,transport_name,grpc_helpers", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport, "grpc", grpc_helpers), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport, "grpc_asyncio", grpc_helpers_async), -]) -def test_cloud_memcache_client_create_channel_credentials_file(client_class, transport_class, transport_name, grpc_helpers): - # Check the case credentials file is provided. - options = client_options.ClientOptions( - credentials_file="credentials.json" - ) - - with mock.patch.object(transport_class, '__init__') as patched: - patched.return_value = None - client = client_class(client_options=options, transport=transport_name) - patched.assert_called_once_with( - credentials=None, - credentials_file="credentials.json", - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) - - # test that the credentials from file are saved and used as the credentials. - with mock.patch.object( - google.auth, "load_credentials_from_file", autospec=True - ) as load_creds, mock.patch.object( - google.auth, "default", autospec=True - ) as adc, mock.patch.object( - grpc_helpers, "create_channel" - ) as create_channel: - creds = ga_credentials.AnonymousCredentials() - file_creds = ga_credentials.AnonymousCredentials() - load_creds.return_value = (file_creds, None) - adc.return_value = (creds, None) - client = client_class(client_options=options, transport=transport_name) - create_channel.assert_called_with( - "memcache.googleapis.com:443", - credentials=file_creds, - credentials_file=None, - quota_project_id=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - scopes=None, - default_host="memcache.googleapis.com", - ssl_credentials=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.ListInstancesRequest, - dict, -]) -def test_list_instances(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse( - next_page_token='next_page_token_value', - unreachable=['unreachable_value'], - ) - response = client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, pagers.ListInstancesPager) - assert response.next_page_token == 'next_page_token_value' - assert response.unreachable == ['unreachable_value'] - - -def test_list_instances_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - client.list_instances() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - -@pytest.mark.asyncio -async def test_list_instances_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ListInstancesRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse( - next_page_token='next_page_token_value', - unreachable=['unreachable_value'], - )) - response = await client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ListInstancesRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, pagers.ListInstancesAsyncPager) - assert response.next_page_token == 'next_page_token_value' - assert response.unreachable == ['unreachable_value'] - - -@pytest.mark.asyncio -async def test_list_instances_async_from_dict(): - await test_list_instances_async(request_type=dict) - - -def test_list_instances_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ListInstancesRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - call.return_value = cloud_memcache.ListInstancesResponse() - client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_list_instances_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ListInstancesRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) - await client.list_instances(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -def test_list_instances_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse() - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.list_instances( - parent='parent_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - - -def test_list_instances_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.list_instances( - cloud_memcache.ListInstancesRequest(), - parent='parent_value', - ) - -@pytest.mark.asyncio -async def test_list_instances_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.ListInstancesResponse() - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.ListInstancesResponse()) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.list_instances( - parent='parent_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_list_instances_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.list_instances( - cloud_memcache.ListInstancesRequest(), - parent='parent_value', - ) - - -def test_list_instances_pager(transport_name: str = "grpc"): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials, - transport=transport_name, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - resources=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - - metadata = () - metadata = tuple(metadata) + ( - gapic_v1.routing_header.to_grpc_metadata(( - ('parent', ''), - )), - ) - pager = client.list_instances(request={}) - - assert pager._metadata == metadata - - results = list(pager) - assert len(results) == 6 - assert all(isinstance(i, cloud_memcache.Instance) - for i in results) -def test_list_instances_pages(transport_name: str = "grpc"): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials, - transport=transport_name, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__') as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - resources=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - pages = list(client.list_instances(request={}).pages) - for page_, token in zip(pages, ['abc','def','ghi', '']): - assert page_.raw_page.next_page_token == token - -@pytest.mark.asyncio -async def test_list_instances_async_pager(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__', new_callable=mock.AsyncMock) as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - resources=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - async_pager = await client.list_instances(request={},) - assert async_pager.next_page_token == 'abc' - responses = [] - async for response in async_pager: # pragma: no branch - responses.append(response) - - assert len(responses) == 6 - assert all(isinstance(i, cloud_memcache.Instance) - for i in responses) - - -@pytest.mark.asyncio -async def test_list_instances_async_pages(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials, - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.list_instances), - '__call__', new_callable=mock.AsyncMock) as call: - # Set the response to a series of pages. - call.side_effect = ( - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - next_page_token='abc', - ), - cloud_memcache.ListInstancesResponse( - resources=[], - next_page_token='def', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - ], - next_page_token='ghi', - ), - cloud_memcache.ListInstancesResponse( - resources=[ - cloud_memcache.Instance(), - cloud_memcache.Instance(), - ], - ), - RuntimeError, - ) - pages = [] - async for page_ in (await client.list_instances(request={})).pages: # pragma: no branch - pages.append(page_) - for page_, token in zip(pages, ['abc','def','ghi', '']): - assert page_.raw_page.next_page_token == token - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.GetInstanceRequest, - dict, -]) -def test_get_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance( - name='name_value', - display_name='display_name_value', - authorized_network='authorized_network_value', - zones=['zones_value'], - node_count=1070, - memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, - state=cloud_memcache.Instance.State.CREATING, - memcache_full_version='memcache_full_version_value', - discovery_endpoint='discovery_endpoint_value', - update_available=True, - ) - response = client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, cloud_memcache.Instance) - assert response.name == 'name_value' - assert response.display_name == 'display_name_value' - assert response.authorized_network == 'authorized_network_value' - assert response.zones == ['zones_value'] - assert response.node_count == 1070 - assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 - assert response.state == cloud_memcache.Instance.State.CREATING - assert response.memcache_full_version == 'memcache_full_version_value' - assert response.discovery_endpoint == 'discovery_endpoint_value' - assert response.update_available is True - - -def test_get_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - client.get_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - -@pytest.mark.asyncio -async def test_get_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.GetInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value =grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance( - name='name_value', - display_name='display_name_value', - authorized_network='authorized_network_value', - zones=['zones_value'], - node_count=1070, - memcache_version=cloud_memcache.MemcacheVersion.MEMCACHE_1_5, - state=cloud_memcache.Instance.State.CREATING, - memcache_full_version='memcache_full_version_value', - discovery_endpoint='discovery_endpoint_value', - update_available=True, - )) - response = await client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.GetInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, cloud_memcache.Instance) - assert response.name == 'name_value' - assert response.display_name == 'display_name_value' - assert response.authorized_network == 'authorized_network_value' - assert response.zones == ['zones_value'] - assert response.node_count == 1070 - assert response.memcache_version == cloud_memcache.MemcacheVersion.MEMCACHE_1_5 - assert response.state == cloud_memcache.Instance.State.CREATING - assert response.memcache_full_version == 'memcache_full_version_value' - assert response.discovery_endpoint == 'discovery_endpoint_value' - assert response.update_available is True - - -@pytest.mark.asyncio -async def test_get_instance_async_from_dict(): - await test_get_instance_async(request_type=dict) - - -def test_get_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.GetInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - call.return_value = cloud_memcache.Instance() - client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_get_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.GetInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) - await client.get_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_get_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance() - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.get_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - - -def test_get_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.get_instance( - cloud_memcache.GetInstanceRequest(), - name='name_value', - ) - -@pytest.mark.asyncio -async def test_get_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.get_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = cloud_memcache.Instance() - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(cloud_memcache.Instance()) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.get_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_get_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.get_instance( - cloud_memcache.GetInstanceRequest(), - name='name_value', - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.CreateInstanceRequest, - dict, -]) -def test_create_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_create_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - client.create_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - -@pytest.mark.asyncio -async def test_create_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.CreateInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.CreateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_create_instance_async_from_dict(): - await test_create_instance_async(request_type=dict) - - -def test_create_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.CreateInstanceRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_create_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.CreateInstanceRequest() - - request.parent = 'parent_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.create_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'parent=parent_value', - ) in kw['metadata'] - - -def test_create_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.create_instance( - parent='parent_value', - instance_id='instance_id_value', - resource=cloud_memcache.Instance(name='name_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - arg = args[0].instance_id - mock_val = 'instance_id_value' - assert arg == mock_val - arg = args[0].resource - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - - -def test_create_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.create_instance( - cloud_memcache.CreateInstanceRequest(), - parent='parent_value', - instance_id='instance_id_value', - resource=cloud_memcache.Instance(name='name_value'), - ) - -@pytest.mark.asyncio -async def test_create_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.create_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.create_instance( - parent='parent_value', - instance_id='instance_id_value', - resource=cloud_memcache.Instance(name='name_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].parent - mock_val = 'parent_value' - assert arg == mock_val - arg = args[0].instance_id - mock_val = 'instance_id_value' - assert arg == mock_val - arg = args[0].resource - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - -@pytest.mark.asyncio -async def test_create_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.create_instance( - cloud_memcache.CreateInstanceRequest(), - parent='parent_value', - instance_id='instance_id_value', - resource=cloud_memcache.Instance(name='name_value'), - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.UpdateInstanceRequest, - dict, -]) -def test_update_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_update_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - client.update_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - -@pytest.mark.asyncio -async def test_update_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_update_instance_async_from_dict(): - await test_update_instance_async(request_type=dict) - - -def test_update_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateInstanceRequest() - - request.resource.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'resource.name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_update_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateInstanceRequest() - - request.resource.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.update_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'resource.name=name_value', - ) in kw['metadata'] - - -def test_update_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.update_instance( - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - resource=cloud_memcache.Instance(name='name_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].resource - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - - -def test_update_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.update_instance( - cloud_memcache.UpdateInstanceRequest(), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - resource=cloud_memcache.Instance(name='name_value'), - ) - -@pytest.mark.asyncio -async def test_update_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.update_instance( - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - resource=cloud_memcache.Instance(name='name_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].resource - mock_val = cloud_memcache.Instance(name='name_value') - assert arg == mock_val - -@pytest.mark.asyncio -async def test_update_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.update_instance( - cloud_memcache.UpdateInstanceRequest(), - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - resource=cloud_memcache.Instance(name='name_value'), - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.UpdateParametersRequest, - dict, -]) -def test_update_parameters(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_update_parameters_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - client.update_parameters() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - -@pytest.mark.asyncio -async def test_update_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.UpdateParametersRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.UpdateParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_update_parameters_async_from_dict(): - await test_update_parameters_async(request_type=dict) - - -def test_update_parameters_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_update_parameters_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.UpdateParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.update_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_update_parameters_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.update_parameters( - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].parameters - mock_val = cloud_memcache.MemcacheParameters(id='id_value') - assert arg == mock_val - - -def test_update_parameters_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.update_parameters( - cloud_memcache.UpdateParametersRequest(), - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - -@pytest.mark.asyncio -async def test_update_parameters_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.update_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.update_parameters( - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].update_mask - mock_val = field_mask_pb2.FieldMask(paths=['paths_value']) - assert arg == mock_val - arg = args[0].parameters - mock_val = cloud_memcache.MemcacheParameters(id='id_value') - assert arg == mock_val - -@pytest.mark.asyncio -async def test_update_parameters_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.update_parameters( - cloud_memcache.UpdateParametersRequest(), - name='name_value', - update_mask=field_mask_pb2.FieldMask(paths=['paths_value']), - parameters=cloud_memcache.MemcacheParameters(id='id_value'), - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.DeleteInstanceRequest, - dict, -]) -def test_delete_instance(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_delete_instance_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - client.delete_instance() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - -@pytest.mark.asyncio -async def test_delete_instance_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.DeleteInstanceRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.DeleteInstanceRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_delete_instance_async_from_dict(): - await test_delete_instance_async(request_type=dict) - - -def test_delete_instance_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.DeleteInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_delete_instance_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.DeleteInstanceRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.delete_instance(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_delete_instance_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.delete_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - - -def test_delete_instance_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.delete_instance( - cloud_memcache.DeleteInstanceRequest(), - name='name_value', - ) - -@pytest.mark.asyncio -async def test_delete_instance_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.delete_instance), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.delete_instance( - name='name_value', - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - -@pytest.mark.asyncio -async def test_delete_instance_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.delete_instance( - cloud_memcache.DeleteInstanceRequest(), - name='name_value', - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.ApplyParametersRequest, - dict, -]) -def test_apply_parameters(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_apply_parameters_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - client.apply_parameters() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - -@pytest.mark.asyncio -async def test_apply_parameters_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplyParametersRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplyParametersRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_apply_parameters_async_from_dict(): - await test_apply_parameters_async(request_type=dict) - - -def test_apply_parameters_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplyParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_apply_parameters_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplyParametersRequest() - - request.name = 'name_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.apply_parameters(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'name=name_value', - ) in kw['metadata'] - - -def test_apply_parameters_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.apply_parameters( - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - - -def test_apply_parameters_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.apply_parameters( - cloud_memcache.ApplyParametersRequest(), - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - -@pytest.mark.asyncio -async def test_apply_parameters_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_parameters), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.apply_parameters( - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].name - mock_val = 'name_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - -@pytest.mark.asyncio -async def test_apply_parameters_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.apply_parameters( - cloud_memcache.ApplyParametersRequest(), - name='name_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - -@pytest.mark.parametrize("request_type", [ - cloud_memcache.ApplySoftwareUpdateRequest, - dict, -]) -def test_apply_software_update(request_type, transport: str = 'grpc'): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/spam') - response = client.apply_software_update(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -def test_apply_software_update_empty_call(): - # This test is a coverage failsafe to make sure that totally empty calls, - # i.e. request == None and no flattened fields passed, work. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - client.apply_software_update() - call.assert_called() - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() - -@pytest.mark.asyncio -async def test_apply_software_update_async(transport: str = 'grpc_asyncio', request_type=cloud_memcache.ApplySoftwareUpdateRequest): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # Everything is optional in proto3 as far as the runtime is concerned, - # and we are mocking out the actual API, so just send an empty request. - request = request_type() - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - response = await client.apply_software_update(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == cloud_memcache.ApplySoftwareUpdateRequest() - - # Establish that the response is the type that we expect. - assert isinstance(response, future.Future) - - -@pytest.mark.asyncio -async def test_apply_software_update_async_from_dict(): - await test_apply_software_update_async(request_type=dict) - - -def test_apply_software_update_field_headers(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplySoftwareUpdateRequest() - - request.instance = 'instance_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - call.return_value = operations_pb2.Operation(name='operations/op') - client.apply_software_update(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'instance=instance_value', - ) in kw['metadata'] - - -@pytest.mark.asyncio -async def test_apply_software_update_field_headers_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Any value that is part of the HTTP/1.1 URI should be sent as - # a field header. Set these to a non-empty value. - request = cloud_memcache.ApplySoftwareUpdateRequest() - - request.instance = 'instance_value' - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall(operations_pb2.Operation(name='operations/op')) - await client.apply_software_update(request) - - # Establish that the underlying gRPC stub method was called. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - assert args[0] == request - - # Establish that the field header was sent. - _, _, kw = call.mock_calls[0] - assert ( - 'x-goog-request-params', - 'instance=instance_value', - ) in kw['metadata'] - - -def test_apply_software_update_flattened(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - client.apply_software_update( - instance='instance_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) == 1 - _, args, _ = call.mock_calls[0] - arg = args[0].instance - mock_val = 'instance_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - - -def test_apply_software_update_flattened_error(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - client.apply_software_update( - cloud_memcache.ApplySoftwareUpdateRequest(), - instance='instance_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - -@pytest.mark.asyncio -async def test_apply_software_update_flattened_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Mock the actual call within the gRPC stub, and fake the request. - with mock.patch.object( - type(client.transport.apply_software_update), - '__call__') as call: - # Designate an appropriate return value for the call. - call.return_value = operations_pb2.Operation(name='operations/op') - - call.return_value = grpc_helpers_async.FakeUnaryUnaryCall( - operations_pb2.Operation(name='operations/spam') - ) - # Call the method with a truthy value for each flattened field, - # using the keyword arguments to the method. - response = await client.apply_software_update( - instance='instance_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - # Establish that the underlying call was made with the expected - # request object values. - assert len(call.mock_calls) - _, args, _ = call.mock_calls[0] - arg = args[0].instance - mock_val = 'instance_value' - assert arg == mock_val - arg = args[0].node_ids - mock_val = ['node_ids_value'] - assert arg == mock_val - arg = args[0].apply_all - mock_val = True - assert arg == mock_val - -@pytest.mark.asyncio -async def test_apply_software_update_flattened_error_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Attempting to call a method with both a request object and flattened - # fields is an error. - with pytest.raises(ValueError): - await client.apply_software_update( - cloud_memcache.ApplySoftwareUpdateRequest(), - instance='instance_value', - node_ids=['node_ids_value'], - apply_all=True, - ) - - -def test_credentials_transport_error(): - # It is an error to provide credentials and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport, - ) - - # It is an error to provide a credentials file and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options={"credentials_file": "credentials.json"}, - transport=transport, - ) - - # It is an error to provide an api_key and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - options = client_options.ClientOptions() - options.api_key = "api_key" - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options=options, - transport=transport, - ) - - # It is an error to provide an api_key and a credential. - options = mock.Mock() - options.api_key = "api_key" - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options=options, - credentials=ga_credentials.AnonymousCredentials() - ) - - # It is an error to provide scopes and a transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - with pytest.raises(ValueError): - client = CloudMemcacheClient( - client_options={"scopes": ["1", "2"]}, - transport=transport, - ) - - -def test_transport_instance(): - # A client may be instantiated with a custom transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - client = CloudMemcacheClient(transport=transport) - assert client.transport is transport - -def test_transport_get_channel(): - # A client may be instantiated with a custom transport instance. - transport = transports.CloudMemcacheGrpcTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - channel = transport.grpc_channel - assert channel - - transport = transports.CloudMemcacheGrpcAsyncIOTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - channel = transport.grpc_channel - assert channel - -@pytest.mark.parametrize("transport_class", [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, -]) -def test_transport_adc(transport_class): - # Test default credentials are used if not provided. - with mock.patch.object(google.auth, 'default') as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport_class() - adc.assert_called_once() - -@pytest.mark.parametrize("transport_name", [ - "grpc", -]) -def test_transport_kind(transport_name): - transport = CloudMemcacheClient.get_transport_class(transport_name)( - credentials=ga_credentials.AnonymousCredentials(), - ) - assert transport.kind == transport_name - -def test_transport_grpc_default(): - # A client should use the gRPC transport by default. - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - ) - assert isinstance( - client.transport, - transports.CloudMemcacheGrpcTransport, - ) - -def test_cloud_memcache_base_transport_error(): - # Passing both a credentials object and credentials_file should raise an error - with pytest.raises(core_exceptions.DuplicateCredentialArgs): - transport = transports.CloudMemcacheTransport( - credentials=ga_credentials.AnonymousCredentials(), - credentials_file="credentials.json" - ) - - -def test_cloud_memcache_base_transport(): - # Instantiate the base transport. - with mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport.__init__') as Transport: - Transport.return_value = None - transport = transports.CloudMemcacheTransport( - credentials=ga_credentials.AnonymousCredentials(), - ) - - # Every method on the transport should just blindly - # raise NotImplementedError. - methods = ( - 'list_instances', - 'get_instance', - 'create_instance', - 'update_instance', - 'update_parameters', - 'delete_instance', - 'apply_parameters', - 'apply_software_update', - ) - for method in methods: - with pytest.raises(NotImplementedError): - getattr(transport, method)(request=object()) - - with pytest.raises(NotImplementedError): - transport.close() - - # Additionally, the LRO client (a property) should - # also raise NotImplementedError - with pytest.raises(NotImplementedError): - transport.operations_client - - # Catch all for all remaining methods and properties - remainder = [ - 'kind', - ] - for r in remainder: - with pytest.raises(NotImplementedError): - getattr(transport, r)() - - -def test_cloud_memcache_base_transport_with_credentials_file(): - # Instantiate the base transport with a credentials file - with mock.patch.object(google.auth, 'load_credentials_from_file', autospec=True) as load_creds, mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: - Transport.return_value = None - load_creds.return_value = (ga_credentials.AnonymousCredentials(), None) - transport = transports.CloudMemcacheTransport( - credentials_file="credentials.json", - quota_project_id="octopus", - ) - load_creds.assert_called_once_with("credentials.json", - scopes=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - quota_project_id="octopus", - ) - - -def test_cloud_memcache_base_transport_with_adc(): - # Test the default credentials are used if credentials and credentials_file are None. - with mock.patch.object(google.auth, 'default', autospec=True) as adc, mock.patch('google.cloud.memcache_v1beta2.services.cloud_memcache.transports.CloudMemcacheTransport._prep_wrapped_messages') as Transport: - Transport.return_value = None - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport = transports.CloudMemcacheTransport() - adc.assert_called_once() - - -def test_cloud_memcache_auth_adc(): - # If no credentials are provided, we should use ADC credentials. - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - CloudMemcacheClient() - adc.assert_called_once_with( - scopes=None, - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - quota_project_id=None, - ) - - -@pytest.mark.parametrize( - "transport_class", - [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, - ], -) -def test_cloud_memcache_transport_auth_adc(transport_class): - # If credentials and host are not provided, the transport class should use - # ADC credentials. - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - adc.return_value = (ga_credentials.AnonymousCredentials(), None) - transport_class(quota_project_id="octopus", scopes=["1", "2"]) - adc.assert_called_once_with( - scopes=["1", "2"], - default_scopes=( 'https://www.googleapis.com/auth/cloud-platform',), - quota_project_id="octopus", - ) - - -@pytest.mark.parametrize( - "transport_class", - [ - transports.CloudMemcacheGrpcTransport, - transports.CloudMemcacheGrpcAsyncIOTransport, - ], -) -def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): - host = 'https://language.com' - api_audience_tests = [None, 'https://language2.com'] - api_audience_expect = [host, 'https://language2.com'] - for t, e in zip(api_audience_tests, api_audience_expect): - with mock.patch.object(google.auth, 'default', autospec=True) as adc: - gdch_mock = mock.MagicMock() - type(gdch_mock).with_gdch_audience = mock.PropertyMock(return_value=gdch_mock) - adc.return_value = (gdch_mock, None) - transport_class(host=host, api_audience=t) - gdch_mock.with_gdch_audience.assert_called_once_with( - e - ) - - -@pytest.mark.parametrize( - "transport_class,grpc_helpers", - [ - (transports.CloudMemcacheGrpcTransport, grpc_helpers), - (transports.CloudMemcacheGrpcAsyncIOTransport, grpc_helpers_async) - ], -) -def test_cloud_memcache_transport_create_channel(transport_class, grpc_helpers): - # If credentials and host are not provided, the transport class should use - # ADC credentials. - with mock.patch.object(google.auth, "default", autospec=True) as adc, mock.patch.object( - grpc_helpers, "create_channel", autospec=True - ) as create_channel: - creds = ga_credentials.AnonymousCredentials() - adc.return_value = (creds, None) - transport_class( - quota_project_id="octopus", - scopes=["1", "2"] - ) - - create_channel.assert_called_with( - "memcache.googleapis.com:443", - credentials=creds, - credentials_file=None, - quota_project_id="octopus", - default_scopes=( - 'https://www.googleapis.com/auth/cloud-platform', -), - scopes=["1", "2"], - default_host="memcache.googleapis.com", - ssl_credentials=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_grpc_transport_client_cert_source_for_mtls( - transport_class -): - cred = ga_credentials.AnonymousCredentials() - - # Check ssl_channel_credentials is used if provided. - with mock.patch.object(transport_class, "create_channel") as mock_create_channel: - mock_ssl_channel_creds = mock.Mock() - transport_class( - host="squid.clam.whelk", - credentials=cred, - ssl_channel_credentials=mock_ssl_channel_creds - ) - mock_create_channel.assert_called_once_with( - "squid.clam.whelk:443", - credentials=cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_channel_creds, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - - # Check if ssl_channel_credentials is not provided, then client_cert_source_for_mtls - # is used. - with mock.patch.object(transport_class, "create_channel", return_value=mock.Mock()): - with mock.patch("grpc.ssl_channel_credentials") as mock_ssl_cred: - transport_class( - credentials=cred, - client_cert_source_for_mtls=client_cert_source_callback - ) - expected_cert, expected_key = client_cert_source_callback() - mock_ssl_cred.assert_called_once_with( - certificate_chain=expected_cert, - private_key=expected_key - ) - - -@pytest.mark.parametrize("transport_name", [ - "grpc", - "grpc_asyncio", -]) -def test_cloud_memcache_host_no_port(transport_name): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com'), - transport=transport_name, - ) - assert client.transport._host == ( - 'memcache.googleapis.com:443' - ) - -@pytest.mark.parametrize("transport_name", [ - "grpc", - "grpc_asyncio", -]) -def test_cloud_memcache_host_with_port(transport_name): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_options=client_options.ClientOptions(api_endpoint='memcache.googleapis.com:8000'), - transport=transport_name, - ) - assert client.transport._host == ( - 'memcache.googleapis.com:8000' - ) - -def test_cloud_memcache_grpc_transport_channel(): - channel = grpc.secure_channel('http://localhost/', grpc.local_channel_credentials()) - - # Check that channel is used if provided. - transport = transports.CloudMemcacheGrpcTransport( - host="squid.clam.whelk", - channel=channel, - ) - assert transport.grpc_channel == channel - assert transport._host == "squid.clam.whelk:443" - assert transport._ssl_channel_credentials == None - - -def test_cloud_memcache_grpc_asyncio_transport_channel(): - channel = aio.secure_channel('http://localhost/', grpc.local_channel_credentials()) - - # Check that channel is used if provided. - transport = transports.CloudMemcacheGrpcAsyncIOTransport( - host="squid.clam.whelk", - channel=channel, - ) - assert transport.grpc_channel == channel - assert transport._host == "squid.clam.whelk:443" - assert transport._ssl_channel_credentials == None - - -# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are -# removed from grpc/grpc_asyncio transport constructor. -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_transport_channel_mtls_with_client_cert_source( - transport_class -): - with mock.patch("grpc.ssl_channel_credentials", autospec=True) as grpc_ssl_channel_cred: - with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: - mock_ssl_cred = mock.Mock() - grpc_ssl_channel_cred.return_value = mock_ssl_cred - - mock_grpc_channel = mock.Mock() - grpc_create_channel.return_value = mock_grpc_channel - - cred = ga_credentials.AnonymousCredentials() - with pytest.warns(DeprecationWarning): - with mock.patch.object(google.auth, 'default') as adc: - adc.return_value = (cred, None) - transport = transport_class( - host="squid.clam.whelk", - api_mtls_endpoint="mtls.squid.clam.whelk", - client_cert_source=client_cert_source_callback, - ) - adc.assert_called_once() - - grpc_ssl_channel_cred.assert_called_once_with( - certificate_chain=b"cert bytes", private_key=b"key bytes" - ) - grpc_create_channel.assert_called_once_with( - "mtls.squid.clam.whelk:443", - credentials=cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_cred, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - assert transport.grpc_channel == mock_grpc_channel - assert transport._ssl_channel_credentials == mock_ssl_cred - - -# Remove this test when deprecated arguments (api_mtls_endpoint, client_cert_source) are -# removed from grpc/grpc_asyncio transport constructor. -@pytest.mark.parametrize("transport_class", [transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport]) -def test_cloud_memcache_transport_channel_mtls_with_adc( - transport_class -): - mock_ssl_cred = mock.Mock() - with mock.patch.multiple( - "google.auth.transport.grpc.SslCredentials", - __init__=mock.Mock(return_value=None), - ssl_credentials=mock.PropertyMock(return_value=mock_ssl_cred), - ): - with mock.patch.object(transport_class, "create_channel") as grpc_create_channel: - mock_grpc_channel = mock.Mock() - grpc_create_channel.return_value = mock_grpc_channel - mock_cred = mock.Mock() - - with pytest.warns(DeprecationWarning): - transport = transport_class( - host="squid.clam.whelk", - credentials=mock_cred, - api_mtls_endpoint="mtls.squid.clam.whelk", - client_cert_source=None, - ) - - grpc_create_channel.assert_called_once_with( - "mtls.squid.clam.whelk:443", - credentials=mock_cred, - credentials_file=None, - scopes=None, - ssl_credentials=mock_ssl_cred, - quota_project_id=None, - options=[ - ("grpc.max_send_message_length", -1), - ("grpc.max_receive_message_length", -1), - ], - ) - assert transport.grpc_channel == mock_grpc_channel - - -def test_cloud_memcache_grpc_lro_client(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc', - ) - transport = client.transport - - # Ensure that we have a api-core operations client. - assert isinstance( - transport.operations_client, - operations_v1.OperationsClient, - ) - - # Ensure that subsequent calls to the property send the exact same object. - assert transport.operations_client is transport.operations_client - - -def test_cloud_memcache_grpc_lro_async_client(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport='grpc_asyncio', - ) - transport = client.transport - - # Ensure that we have a api-core operations client. - assert isinstance( - transport.operations_client, - operations_v1.OperationsAsyncClient, - ) - - # Ensure that subsequent calls to the property send the exact same object. - assert transport.operations_client is transport.operations_client - - -def test_instance_path(): - project = "squid" - location = "clam" - instance = "whelk" - expected = "projects/{project}/locations/{location}/instances/{instance}".format(project=project, location=location, instance=instance, ) - actual = CloudMemcacheClient.instance_path(project, location, instance) - assert expected == actual - - -def test_parse_instance_path(): - expected = { - "project": "octopus", - "location": "oyster", - "instance": "nudibranch", - } - path = CloudMemcacheClient.instance_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_instance_path(path) - assert expected == actual - -def test_common_billing_account_path(): - billing_account = "cuttlefish" - expected = "billingAccounts/{billing_account}".format(billing_account=billing_account, ) - actual = CloudMemcacheClient.common_billing_account_path(billing_account) - assert expected == actual - - -def test_parse_common_billing_account_path(): - expected = { - "billing_account": "mussel", - } - path = CloudMemcacheClient.common_billing_account_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_billing_account_path(path) - assert expected == actual - -def test_common_folder_path(): - folder = "winkle" - expected = "folders/{folder}".format(folder=folder, ) - actual = CloudMemcacheClient.common_folder_path(folder) - assert expected == actual - - -def test_parse_common_folder_path(): - expected = { - "folder": "nautilus", - } - path = CloudMemcacheClient.common_folder_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_folder_path(path) - assert expected == actual - -def test_common_organization_path(): - organization = "scallop" - expected = "organizations/{organization}".format(organization=organization, ) - actual = CloudMemcacheClient.common_organization_path(organization) - assert expected == actual - - -def test_parse_common_organization_path(): - expected = { - "organization": "abalone", - } - path = CloudMemcacheClient.common_organization_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_organization_path(path) - assert expected == actual - -def test_common_project_path(): - project = "squid" - expected = "projects/{project}".format(project=project, ) - actual = CloudMemcacheClient.common_project_path(project) - assert expected == actual - - -def test_parse_common_project_path(): - expected = { - "project": "clam", - } - path = CloudMemcacheClient.common_project_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_project_path(path) - assert expected == actual - -def test_common_location_path(): - project = "whelk" - location = "octopus" - expected = "projects/{project}/locations/{location}".format(project=project, location=location, ) - actual = CloudMemcacheClient.common_location_path(project, location) - assert expected == actual - - -def test_parse_common_location_path(): - expected = { - "project": "oyster", - "location": "nudibranch", - } - path = CloudMemcacheClient.common_location_path(**expected) - - # Check that the path construction is reversible. - actual = CloudMemcacheClient.parse_common_location_path(path) - assert expected == actual - - -def test_client_with_default_client_info(): - client_info = gapic_v1.client_info.ClientInfo() - - with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - client_info=client_info, - ) - prep.assert_called_once_with(client_info) - - with mock.patch.object(transports.CloudMemcacheTransport, '_prep_wrapped_messages') as prep: - transport_class = CloudMemcacheClient.get_transport_class() - transport = transport_class( - credentials=ga_credentials.AnonymousCredentials(), - client_info=client_info, - ) - prep.assert_called_once_with(client_info) - -@pytest.mark.asyncio -async def test_transport_close_async(): - client = CloudMemcacheAsyncClient( - credentials=ga_credentials.AnonymousCredentials(), - transport="grpc_asyncio", - ) - with mock.patch.object(type(getattr(client.transport, "grpc_channel")), "close") as close: - async with client: - close.assert_not_called() - close.assert_called_once() - - -def test_transport_close(): - transports = { - "grpc": "_grpc_channel", - } - - for transport, close_name in transports.items(): - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport - ) - with mock.patch.object(type(getattr(client.transport, close_name)), "close") as close: - with client: - close.assert_not_called() - close.assert_called_once() - -def test_client_ctx(): - transports = [ - 'grpc', - ] - for transport in transports: - client = CloudMemcacheClient( - credentials=ga_credentials.AnonymousCredentials(), - transport=transport - ) - # Test client calls underlying transport. - with mock.patch.object(type(client.transport), "close") as close: - close.assert_not_called() - with client: - pass - close.assert_called() - -@pytest.mark.parametrize("client_class,transport_class", [ - (CloudMemcacheClient, transports.CloudMemcacheGrpcTransport), - (CloudMemcacheAsyncClient, transports.CloudMemcacheGrpcAsyncIOTransport), -]) -def test_api_key_credentials(client_class, transport_class): - with mock.patch.object( - google.auth._default, "get_api_key_credentials", create=True - ) as get_api_key_credentials: - mock_cred = mock.Mock() - get_api_key_credentials.return_value = mock_cred - options = client_options.ClientOptions() - options.api_key = "api_key" - with mock.patch.object(transport_class, "__init__") as patched: - patched.return_value = None - client = client_class(client_options=options) - patched.assert_called_once_with( - credentials=mock_cred, - credentials_file=None, - host=client.DEFAULT_ENDPOINT, - scopes=None, - client_cert_source_for_mtls=None, - quota_project_id=None, - client_info=transports.base.DEFAULT_CLIENT_INFO, - always_use_jwt_access=True, - api_audience=None, - ) diff --git a/tests/unit/gapic/memcache_v1/test_cloud_memcache.py b/tests/unit/gapic/memcache_v1/test_cloud_memcache.py index 24e3351..59e9441 100644 --- a/tests/unit/gapic/memcache_v1/test_cloud_memcache.py +++ b/tests/unit/gapic/memcache_v1/test_cloud_memcache.py @@ -2828,7 +2828,6 @@ def test_cloud_memcache_transport_auth_adc(transport_class): [ transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport, - transports.CloudMemcacheRestTransport, ], ) def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): diff --git a/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py b/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py index 7876f0e..6d67b31 100644 --- a/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py +++ b/tests/unit/gapic/memcache_v1beta2/test_cloud_memcache.py @@ -3094,7 +3094,6 @@ def test_cloud_memcache_transport_auth_adc(transport_class): [ transports.CloudMemcacheGrpcTransport, transports.CloudMemcacheGrpcAsyncIOTransport, - transports.CloudMemcacheRestTransport, ], ) def test_cloud_memcache_transport_auth_gdch_credentials(transport_class): From 3d5c58425ddddc2ccbcec67cc42d87b52e6b656c Mon Sep 17 00:00:00 2001 From: Anthonios Partheniou Date: Wed, 6 Jul 2022 16:13:42 +0000 Subject: [PATCH 5/5] fix(deps): require google-api-core >= 2.8.0 --- setup.py | 5 +---- testing/constraints-3.6.txt | 9 --------- testing/constraints-3.7.txt | 2 +- 3 files changed, 2 insertions(+), 14 deletions(-) delete mode 100644 testing/constraints-3.6.txt diff --git a/setup.py b/setup.py index 777fa3a..0140762 100644 --- a/setup.py +++ b/setup.py @@ -25,10 +25,7 @@ version = "1.3.2" release_status = "Development Status :: 5 - Production/Stable" dependencies = [ - # NOTE: Maintainers, please do not require google-api-core>=2.x.x - # Until this issue is closed - # https://github.com/googleapis/google-cloud-python/issues/10566 - "google-api-core[grpc] >= 1.31.5, <3.0.0dev,!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0", + "google-api-core[grpc] >= 2.8.0, <3.0.0dev", "proto-plus >= 1.15.0, <2.0.0dev", "protobuf >= 3.19.0, <4.0.0dev", ] diff --git a/testing/constraints-3.6.txt b/testing/constraints-3.6.txt deleted file mode 100644 index 786e637..0000000 --- a/testing/constraints-3.6.txt +++ /dev/null @@ -1,9 +0,0 @@ -# This constraints file is used to check that lower bounds -# are correct in setup.py -# List all library dependencies and extras in this file. -# Pin the version to the lower bound. -# e.g., if setup.py has "google-cloud-foo >= 1.14.0, < 2.0.0dev", -# Then this file should have google-cloud-foo==1.14.0 -google-api-core==1.31.5 -proto-plus==1.15.0 -protobuf==3.19.0 diff --git a/testing/constraints-3.7.txt b/testing/constraints-3.7.txt index 786e637..6522c7e 100644 --- a/testing/constraints-3.7.txt +++ b/testing/constraints-3.7.txt @@ -4,6 +4,6 @@ # Pin the version to the lower bound. # e.g., if setup.py has "google-cloud-foo >= 1.14.0, < 2.0.0dev", # Then this file should have google-cloud-foo==1.14.0 -google-api-core==1.31.5 +google-api-core==2.8.0 proto-plus==1.15.0 protobuf==3.19.0