DataDog/dd-trace-py v2.3.2

2.3.2

on GitHub

Bug Fixes

• gevent: Fix a regression with the support for gevent that could have occurred if some products, like ASM, telemetry, were enabled.
• kafka: Resolves TypeError raised by serializing producers and deserializing consumers when the message.key tag is set on spans.
• dynamic instrumentation: Fix an issue that caused the instrumented application to fail to start if a non-standard module was imported.
• openai: This fix resolves an issue where tagging image inputs in the chat completions endpoint resulted in attribute errors.
• openai: This fix resolves an issue where requesting raw API responses from openai>=1.0 resulted in attribute errors while tagging.
• profiling: Fix an issue that prevented threading locks from being traced when using gevent.
• profiling: Fix a segmentation fault with CPython 3.12 when sampling thread stacks.
• pylibmc: Fixes an issue where using ddtrace-run or ddtrace.patch_all() with DD_TRACE_ENABLED=False would break with get, gets, and get_multi operations on pylibmc Clients.
• django: Resolves AttributeError raised by traced StreamingHttpResponse.
• Vulnerability Management for Code-level (IAST): This fix resolves an issue where certain aspects incorrectly expected at least one argument, leading to an IndexError when none were provided. The solution removes this constraint and incorporates regression tests for stability assurance.
• psycopg: This fix resolves an issue where a circular import of the psycopg library could cause a crash during monkeypatching.
• redis: This fix resolves an issue where the yaaredis and aredis integrations imported code from the redis integration, causing a circular import error.
• tracing: Resolves trace encoding errors raised when DD_TRACE_API_VERSION is set to v0.5 and a BufferFull Exception is raised by the TraceWriter. This fix ensures span fields are not overwritten and reduces the frequency of 4XX errors in the trace agent.