DataDog/dd-trace-py v1.12.0

1.12.0

on GitHub

New Features

• tracing: Adds support for 128 bit trace ids for b3 and w3c distributing tracing headers.
• pytest: Adds the DD_CIVISIBILITY_AGENTLESS_ENABLED environment variable to configure the CIVisibility service to use an agent-less test reporting CIVisibilityWriter. Note that the CIVisibility service will use regular agent reporting by default.
• sci: Extracts and sends git metadata from environment variables DD_GIT_REPOSITORY_URL, DD_GIT_COMMIT_SHA, or from the python package specified in the DD_MAIN_PACKAGE. This feature can be disabled by setting DD_TRACE_GIT_METADATA_ENABLED=False.
• otel: Adds support for the OpenTelemetry Tracing API. Please refer to the docs <ddtrace.opentelemetry> for more details.

Bug Fixes

• tracing: Ensure datadog headers propagate 128 bit trace ids when DD_TRACE_128_BIT_TRACEID_GENERATION_ENABLED=False
• aws_lambda: Fix AttributeError raised when ddtrace.patch_all(), or ddtrace.patch(aws_lambda=True), is set on user handler.
• aws_lambda: Fix AttributeError raised when extracting context from arguments.
• aws_lambda: Fix AttributeError raised when callable handlers are traced.
• dynamic instrumentation: Fixed an issue with expressions in metric probes that prevented them from being evaluated.
• Prevent exceptions when autoreloading modules that directly or indirectly import ddtrace with the iPython autoreload extension.
• profiling: Corrects accounting of wall and CPU time for gevent tasks within the main Python thread.
• profiling: Fixed an issue with the memory collector where a segmentation fault could occur during shutdown.
• lib-injection: The ddtrace package is now provided via the Docker image rather than relying on a run-time pip install. This solves issues like containers blocking network requests, installation overhead during application startup, permissions issues with the install.