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Commit 86be9d1

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github-actions[bot]miguelgrinberg
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miguelgrinberg
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[Backport 8.15] use request converter to generate python examples (#2645)
* use request converter to generate python examples (#2643) * use request converter to generate examples * updated examples * use correct license (cherry picked from commit 4ee4650) * update connector API documentation examples --------- Co-authored-by: Miguel Grinberg <miguel.grinberg@gmail.com>
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3,168 files changed

+66990
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‎.gitignore

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@@ -25,6 +25,7 @@ share/python-wheels/
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.installed.cfg
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*.egg
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MANIFEST
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node_modules
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# PyInstaller
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# Usually these files are written by a python script from a template

‎docs/examples/00272f75a6afea91f8554ef7cda0c1f2.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// rest-api/security/clear-cache.asciidoc:69
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[source, python]
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----
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resp = client.security.clear_cached_realms(
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realms="default_file,ldap1",
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)
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print(resp)
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----

‎docs/examples/004743b9c9f61588926ccf734696b713.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// indices/forcemerge.asciidoc:210
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[source, python]
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----
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resp = client.indices.forcemerge(
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index=".ds-my-data-stream-2099.03.07-000001",
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max_num_segments="1",
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)
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print(resp)
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----

‎docs/examples/004a17b42ab5155bb61da797a006fa9f.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// query-dsl/pinned-query.asciidoc:13
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[source, python]
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----
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resp = client.search(
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query={
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"pinned": {
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"ids": [
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"1",
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"4",
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"100"
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],
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"organic": {
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"match": {
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"description": "iphone"
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}
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}
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}
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},
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)
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print(resp)
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----

‎docs/examples/006e0e16c9f1da58c0bfe57377f7fc38.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// analysis/tokenfilters/stemmer-tokenfilter.asciidoc:85
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[source, python]
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----
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resp = client.indices.create(
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index="my-index-000001",
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settings={
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"analysis": {
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"analyzer": {
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"my_analyzer": {
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"tokenizer": "whitespace",
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"filter": [
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"stemmer"
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]
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}
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}
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}
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},
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)
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print(resp)
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----

‎docs/examples/007179b5e241da650562a5f0a5007823.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// watcher/example-watches/example-watch-clusterstatus.asciidoc:193
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[source, python]
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----
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resp = client.watcher.put_watch(
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id="cluster_health_watch",
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trigger={
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"schedule": {
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"interval": "10s"
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}
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},
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input={
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"http": {
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"request": {
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"host": "localhost",
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"port": 9200,
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"path": "/_cluster/health"
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}
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}
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},
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condition={
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"compare": {
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"ctx.payload.status": {
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"eq": "red"
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}
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}
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},
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actions={
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"send_email": {
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"email": {
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"to": "username@example.org",
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"subject": "Cluster Status Warning",
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"body": "Cluster status is RED"
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}
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}
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},
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)
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print(resp)
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----

‎docs/examples/008ed823c89e703c447ac89c6b689833.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// migration/apis/feature-migration.asciidoc:152
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[source, python]
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----
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resp = client.migration.post_feature_upgrade()
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print(resp)
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----

‎docs/examples/0091fc75271b1fbbd4269622a4881e8b.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// scripting/common-script-uses.asciidoc:107
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[source, python]
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----
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resp = client.search(
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index="my-index",
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query={
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"match": {
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"http.clientip": "40.135.0.0"
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}
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},
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fields=[
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"http.clientip"
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],
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)
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print(resp)
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----

‎docs/examples/00b3b6d76a368ae71277ea24af318693.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// indices/shard-stores.asciidoc:134
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[source, python]
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----
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resp = client.indices.shard_stores()
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print(resp)
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----

‎docs/examples/00c05aa931fc985985e3e21c93cf43ff.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// search/search-your-data/search-template.asciidoc:443
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[source, python]
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----
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resp = client.render_search_template(
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source="{ \"query\": {{#toJson}}my_query{{/toJson}} }",
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params={
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"my_query": {
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"match_all": {}
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}
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},
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)
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print(resp)
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----

‎docs/examples/00d65f7b9daa1c6b18eedd8ace206bae.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// analysis/tokenfilters/asciifolding-tokenfilter.asciidoc:21
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[source, python]
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----
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resp = client.indices.analyze(
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tokenizer="standard",
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filter=[
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"asciifolding"
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],
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text="açaí à la carte",
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)
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print(resp)
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----

‎docs/examples/00e0c964c79fcc1876ab957da2ffce82.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// analysis/analyzers/lang-analyzer.asciidoc:1204
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[source, python]
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----
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resp = client.indices.create(
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index="italian_example",
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settings={
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"analysis": {
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"filter": {
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"italian_elision": {
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"type": "elision",
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"articles": [
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"c",
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"l",
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"all",
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"dall",
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"dell",
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"nell",
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"sull",
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"coll",
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"pell",
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"gl",
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"agl",
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"dagl",
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"degl",
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"negl",
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"sugl",
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"un",
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"m",
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"t",
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"s",
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"v",
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"d"
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],
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"articles_case": True
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},
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"italian_stop": {
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"type": "stop",
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"stopwords": "_italian_"
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},
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"italian_keywords": {
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"type": "keyword_marker",
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"keywords": [
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"esempio"
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]
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},
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"italian_stemmer": {
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"type": "stemmer",
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"language": "light_italian"
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}
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},
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"analyzer": {
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"rebuilt_italian": {
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"tokenizer": "standard",
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"filter": [
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"italian_elision",
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"lowercase",
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"italian_stop",
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"italian_keywords",
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"italian_stemmer"
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]
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}
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}
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}
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},
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)
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print(resp)
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----

‎docs/examples/00fea15cbca83be9d5f1a024ff2ec708.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// inference/service-elasticsearch.asciidoc:93
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[source, python]
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----
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resp = client.inference.put(
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task_type="text_embedding",
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inference_id="my-e5-model",
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inference_config={
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"service": "elasticsearch",
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"service_settings": {
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"num_allocations": 1,
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"num_threads": 1,
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"model_id": ".multilingual-e5-small"
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}
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},
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)
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print(resp)
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----

‎docs/examples/010d5e901a2690fa7b2396edbe6cd463.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// ingest/common-log-format-example.asciidoc:161
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[source, python]
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----
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resp = client.indices.put_index_template(
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name="my-data-stream-template",
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index_patterns=[
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"my-data-stream*"
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],
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data_stream={},
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priority=500,
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)
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print(resp)
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----

‎docs/examples/0163af36c8472ac0c5160c8b716f5b26.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// aggregations/bucket/filter-aggregation.asciidoc:58
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34
[source, python]
@@ -6,10 +7,18 @@ resp = client.search(
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index="sales",
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size="0",
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filter_path="aggregations",
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body={
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"query": {"term": {"type": "t-shirt"}},
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"aggs": {"avg_price": {"avg": {"field": "price"}}},
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query={
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"term": {
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"type": "t-shirt"
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}
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},
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aggs={
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"avg_price": {
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"avg": {
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"field": "price"
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}
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}
1221
},
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)
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print(resp)
15-
----
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----

‎docs/examples/016f3147dae9ff2c3e831257ae470361.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// alias.asciidoc:52
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[source, python]
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----
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resp = client.indices.update_aliases(
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actions=[
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{
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"add": {
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"index": "logs-*",
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"alias": "logs"
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}
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}
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],
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)
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print(resp)
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----

‎docs/examples/019e329ed5a930aef825266822e7377a.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// analysis/tokenfilters/asciifolding-tokenfilter.asciidoc:118
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[source, python]
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----
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resp = client.indices.create(
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index="asciifold_example",
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settings={
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"analysis": {
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"analyzer": {
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"standard_asciifolding": {
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"tokenizer": "standard",
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"filter": [
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"my_ascii_folding"
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]
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}
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},
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"filter": {
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"my_ascii_folding": {
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"type": "asciifolding",
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"preserve_original": True
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}
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}
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}
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},
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)
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print(resp)
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----

‎docs/examples/01bc0f2ed30eb3dd23511d01ce0ac6e1.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// transform/apis/start-transform.asciidoc:79
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[source, python]
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----
6+
resp = client.transform.start_transform(
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transform_id="ecommerce_transform",
8+
)
9+
print(resp)
10+
----

‎docs/examples/01da9e0620e48270617fc248e6415cac.asciidoc

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// This file is autogenerated, DO NOT EDIT
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// aggregations.asciidoc:36
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[source, python]
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----
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resp = client.search(
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index="my-index-000001",
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aggs={
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"my-agg-name": {
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"terms": {
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"field": "my-field"
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}
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}
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},
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)
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print(resp)
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----

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