Python idiomatic SDK for the Cortex™ Data Lake.

The Palo Alto Networks Cortex Data Lake Python SDK was created to assist developers with programmatically interacting with the Palo Alto Networks Cortex™ Data Lake API.

The primary goal is to provide full, low-level API coverage for the following Cortex™ Data Lake services:

• Query Service

The secondary goal is to provide coverage, in the form of helpers, for common tasks/operations.

• Log/event pagination
• OAuth 2.0 and token refreshing

Resources:

• Documentation: https://cortex.pan.dev
• Free software: ISC license

• HTTP client wrapper for the popular Requests library with full access to its features.
• Language bindings for Query Service.
• Helper methods for performing common tasks, such as log/event pagination.
• Support for OAuth 2.0 grant code authorization flow.
• Library of example scripts illustrating how to leverage the SDK.
• Support for API Explorer Developer Tokens for easier access to API!

The Palo Alto Networks Cortex™ Data Lake Python SDK is considered beta at this time.

From PyPI:

pip install pan-cortex-data-lake

From source:

pip install .

To run tests:

pip install .[test]

If you're an app developer, work with your Developer Relations representative to obtain your OAuth2 credentials. API Explorer may optionally be used to generate a Developer Token, which can also be used to authenticate with the API. For details on API Explorer developer tokens, please visit https://cortex.pan.dev/docs/data_lake/learn/developer_tokens.

from pan_cortex_data_lake import Credentials, QueryService


c = Credentials()
qs = QueryService(credentials=c)
query_params = {
    "query": "SELECT * FROM `1234567890.firewall.traffic` LIMIT 1",
}
q = qs.create_query(query_params=query_params)
results = qs.get_job_results(job_id=q.json()['jobId'])
print(results.json())