feat(observer): add performance test for snapshot serialization with large metric sets - #288
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…dy for review Stage 6 complete: Pull request created at #288 Includes: - Comprehensive PR description with all implementation details - 24 new performance tests for snapshot serialization with large metric sets - All acceptance criteria verified and met - All 7,373 repository tests passing - Code quality verified (ruff 0 violations, custodian 0 findings) - PR ready for code review and merge Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
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Self-review concerns — auto-fixing (up to 6 attempts; re-queued if still unresolved): Diff truncation prevents full verification. The visible ~50% of the test class implementation shows high quality: helper functions are well-designed, create_large_snapshot factory covers 3 tiers comprehensively, 13+ visible tests follow consistent patterns with appropriate performance thresholds, imports are correct (CheckSignal→TestSignal migration consistent), and no code quality issues detected. However, the diff cuts off mid-implementation at 60000 characters, obscuring ~11 remaining tests and the complete test class definition. PR documentation claims 24 tests implemented with all tests passing locally, but this cannot be verified from the truncated diff. To complete review: (1) provide full diff showing all 24 test methods, or (2) run tests locally to confirm reported passing results align with full implementation. |
Summary
Add comprehensive performance tests for snapshot serialization with large metric sets to verify serialization efficiency across different data volumes and signal combinations.
This PR implements 24 new performance tests that measure:
Changes
New Test Suite
TestSnapshotSerializationLargeMetricsclasscreate_large_snapshot(tier, index, seed)for reproducible test dataPerformance Assertions Verified
All performance thresholds met across formats and tiers:
Test Results
🤖 Generated with Claude Code