Python Release Notes

• Support for PyMssql, PyODBC, OracleDB, and cx_Oracle modules.
• Support for Docker environment check and ID fetch from the mountinfo file.

Issue fix:

• The issue with the distributed tracing exception has been fixed.

• Support for FastAPI and Starlette frameworks.

• Support for Psycopg2 parameterized query object extraction.

• Support for asynchronous call capture in Django ASGI applications.
• Support for async component modules: AIOREDIS, AREDIS, AIOMYSQL, ASYNCPG, Redis async client.
• Support for PyMongo module.

Issue fix:

• The issue with the query stack trace has been resolved.

• Distributed tracing is supported for HTTP calls made through the requests module V2.30.0 and above.

• Support for distributed tracing.
• Support for stack trace queries.
• Support for capturing IPv4 addresses.

• Support for a new Data Collector, S247DataExporter (Linux and Windows)
• Supported frameworks: CherryPy, Pyramid, and Bottle.
• Supported template engines: Mako and Genshi.
• You now have various options to start the agent without modifying the user code.
• Support for custom parameters.
• You no longer need to provide the App port during agent configuration; it will be detected automatically.
• Support for Docker Environment as a Cloud-Instance.
• Support for capturing CPU time.

• Errors in the Django framework when using the psycopg2 module have been fixed.
• An issue with the Flask framework during multiple URLs having the same view function has been resolved.

• Cloud instance check for AWS and AZURE is supported.
• Proxy support has been introduced.
• You can now configure agent using the apminsight_info.json file
• MYSQL calls are now available in the Service Map tab.
• Support for Cassandra.
• Support for custom log directory has been added.

• The issue with fetching status codes in the Flask framework has been resolved.
• The issue with multiple initialization calls for the agent has been resolved.

• Support for Django and Flask frameworks.
• Support for MySQL, SQLite, Redis, and Pymemcache components.
• Instrumented Django middleware.
• Support for dbapi2 and postgres.