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- Implements python-based audit scripts for flakiness and static analysis. - Generates flakiness matrix and suspicious test reports. - Follows scheduler protocol for locking and logging. Co-authored-by: PR0M3TH3AN <[email protected]>
1.3 KiB
1.3 KiB
Task Log: test-audit-agent
- Date: 2026-02-27
- Agent: test-audit-agent
- Cadence: daily
- Status: Completed
Summary
The test-audit-agent executed a test integrity audit, identifying flaky tests and suspicious test patterns.
Actions Taken
- Memory Retrieval: Successfully retrieved memory context.
- Audit Tool Creation:
- Created
torch/scripts/test-audit/run_python_flaky_check.pyto detect test flakiness by running the suite multiple times. - Created
torch/scripts/test-audit/run_python_static_analysis.pyto scan for weak assertions, skips, and nondeterministic patterns.
- Created
- Audit Execution:
- Ran the flakiness check (5 runs).
- Ran the static analysis scan.
- Reporting:
- Generated
reports/test-audit/flakiness-matrix.json. - Generated
reports/test-audit/suspicious-tests.json(9 files flagged).
- Generated
- Memory Storage: Successfully stored run learnings.
Findings
- Suspicious Tests: 9 files were flagged containing potential issues like
time.sleep, skipped tests, or missing assertions. - Flakiness: A matrix of test stability was generated to guide future stabilization efforts.
Next Steps
- Investigate the 9 suspicious files identified in
reports/test-audit/suspicious-tests.json. - Review the flakiness matrix to prioritize fixing unstable tests.