[pull] master from DataDog:master#471
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* Add Datadog code coverage upload alongside Codecov Add DataDog/coverage-upload-github-action step to all 6 workflows that upload coverage data (master, master-windows, pr-test, pr-all, pr-all-windows, test-fips-e2e). Both systems now run side-by-side so we can compare coverage percentages before switching over. Also adds code-coverage.datadog.yml with carryforward enabled globally to match Codecov's per-flag carryforward configuration. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Pin coverage-upload-github-action to full SHA for pinact Pin DataDog/coverage-upload-github-action@v1 to its full commit SHA (9bbbf86d16f7db1b14c5b885e61cf0d96053686a) to pass the pinact check. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Fix pinact: use exact version tag v1.0.0 in comment Pinact requires the exact version tag (v1.0.0) in the comment, not the major version alias (v1). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * Temporarily add workflow_dispatch for coverage verification * Fix workflow_dispatch placement for coverage verification * Remove temporary workflow_dispatch trigger --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
…es (#23224) * [kafka_actions] Fix Avro deserialization for schemas with logical types fastavro.schemaless_reader returns Python-native types for Avro logical types (decimal.Decimal, datetime, date, uuid.UUID, bytes), but json.dumps() cannot serialize these. This caused "Failed to deserialize Avro message" errors for any schema using bytes/decimal, timestamp-millis, date, or uuid logical types — including when using Schema Registry. Add a custom JSON encoder (_AvroJSONEncoder) that handles all fastavro logical type return values. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Add datetime.time handling for time-millis/time-micros logical types Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Add changelog and fix lint formatting Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Serialize Decimal as string to preserve precision float() silently loses precision for high-precision Avro decimal values. str() preserves exact values, and the filter's _coerce_types already handles str-to-number conversion for > / < comparisons. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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