DataDog/dd-trace-py v1.17.0

1.17.0

on GitHub

Prelude

Datadog has added support for automatically creating login success or failure events when a configured Django authentication backend is used. This will automatically fill the following tags in these cases:

• appsec.events.users.login.success.track
• appsec.events.users.login.failure.track
• appsec.events.users.login.success.[email|login|username]
• appsec.events.users.login.failure.usr.exists

New Features

• ASM: Add support for automatic user login events in Django.
• langchain: Adds integration with support for metrics, logs, and traces from LangChain requests.
  See the docs for more information.
• redis: Add support for Async RedisCluster.

Bug Fixes

• profiling: prevent deadlocks while recording events of different type.- core: This fix removes the inclusion of our benchmarks/ directory in the ddtrace wheels.
• internal: call _fixupChildren when retrieving DDLogger
• profiling: Fixed a regression whereby the profile exporter would not handle known request errors and asks the user to report an issue instead.
• profiling: Handles a race condition, which would occasionally throw an error, which would read "RuntimeError: the memalloc module was not started."
• CI visibility: fix version and step arguments gathering to enable plugin compatibility with pytest-bdd 6.1.x
• Fixed a bug that caused applications using gevent and cassandra to fail to start with the ddtrace-run command.
• tracing: This fix resolves a google.protobuf import error when module unloading.
• wsgi: This fix resolves an issues when trying to parse the environ property HTTPS as an HTTP header.
• Pin cython<3 due to an incompatibility with cython==3.0.0 and typing annotations in profiling code.
• telemetry: resolves issue with sending unnecessary duplicate logs