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❌ ErrorsYour PR has failed checks. Please review the issues below and take necessary action before merging. 🚦 3 Pipeline jobs failed
ℹ️ InfoNo other issues found (see more)❄️ No new flaky tests detected Useful? React with 👍 / 👎 This comment will be updated automatically if new data arrives.🔗 Commit SHA: fb15a00 | Docs | View more details | Give us feedback! |
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Nice work! Some suggestions for improvement, all non-blocking because they're not correctness issues
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Looks like there is a merge conflict with utils/pytest.py, otherwise LGTM
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Forward OpenFeature flag metadata in the Python parametric adapter and activate the serial ID contract for verified ddtrace 4.15.2. Environment: Datadog workspace Co-Authored-By: Codex GPT-5 <noreply@localhost> Co-authored-by: hhan2024 <helen.han@datadoghq.com>
Exercise second-split selection, shared variants across allocations, and metadata replacement and removal without restarting the provider. Reject non-integer serial IDs and match each Remote Config acknowledgement. Environment: Datadog workspace Co-Authored-By: Codex GPT-6 <noreply@localhost> Co-authored-by: helen.han <helen.han@datadoghq.com>
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Stacked on #7820, independently of the Go activation PR.
Changes
Validation
The parent tests explicitly enable span enrichment and assert positive IDs, zero, missing-key omission, selected-split metadata, and repeated evaluations.
FFE reviewer selection
Reviewers: @leoromanovsky, @sameerank
Why: Flag evaluation on EVP — The PR enables Python parametric tests for SDK evaluation metadata. Reviewers come from the matched pod.
🤖 Automated selection.
Selection details
Initiative: project / flag-evaluation-evp
Why this match: The PR enables Python parametric tests for SDK evaluation metadata. The Python test client now returns the OpenFeature flag_metadata as flagMetadata, so the tests can check the per-split serial ID (__dd_split_serial_id). The manifest enables these tests for ddtrace v4.15.2 and later. New test cases and a flag fixture cover serial IDs shared across allocations, a selected second split, and Remote Config updates that replace or remove IDs. This matches the flag-evaluation-evp scope of SDK evaluation metadata. The work is not onboarding diagnostics, bandits, or a consent/egress change, so the other initiatives don't fit. The catalog has no supplemental review areas.
The PR author was excluded. Existing reviewers and teams were preserved.
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dry_run=false. Unchanged completed runs are skipped. If the receipt saysneeds_reconciliationor a write outcome is uncertain, ask the workflow owner to reconcile GitHub and the receipt before retrying; do not delete the lock blindly.Evidence and run details
✅ Complete — reviewer coverage verified. The workflow checked pending requests or submitted reviews on the evaluated head.
Generated asynchronously by the FFE reviewer-routing workflow.
Changed paths:
utils/build/docker/python/parametric/apm_test_client/server.py,manifests/python.yml,tests/parametric/test_ffe/test_serial_id_metadata.py,tests/parametric/test_ffe/serial-id-metadata-flags.jsonEvaluated head:
fb15a00c00001ac607987c2622913a1ead43c7fcRegistry revision:
revision:1946aa2a-530e-487a-84a7-83aff44a1089Pinned skill source:
d214cfc65ae154b97d39af5cf32caf48aaec9bf0Instructions: workflow-injected snapshot (no plugin loaded)
Instruction snapshot SHA-256:
f23b2a88c13c0da90e2dd58246a14f257af91e2195c555039bd555b52e6f3516