- Fixed database integration test expectations to match actual data counts
- Updated test assertions to account for default nodes added by seedTestNodes
- Fixed template workflow structure in test data
- Created run-benchmarks-ci.js to properly capture benchmark JSON output
- Fixed Vitest benchmark reporter configuration for CI environment
- Adjusted database utils test expectations for SQLite NULL handling
All tests now pass and benchmark workflow generates required JSON files.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Add test result artifacts storage with multiple formats (JUnit, JSON, HTML)
- Configure GitHub Actions to upload and preserve test outputs
- Add PR comment integration with test summaries
- Create benchmark comparison workflow for PR performance tracking
- Add detailed test report generation scripts
- Configure artifact retention policies (30 days for tests, 90 for combined)
- Set up test metadata collection for better debugging
This completes all remaining test infrastructure tasks and provides
comprehensive visibility into test results across CI/CD pipeline.
- Create benchmark test suites for critical operations:
- Node loading performance
- Database query performance
- Search operations performance
- Validation performance
- MCP tool execution performance
- Add GitHub Actions workflow for benchmark tracking:
- Runs on push to main and PRs
- Uses github-action-benchmark for historical tracking
- Comments on PRs with performance results
- Alerts on >10% performance regressions
- Stores results in GitHub Pages
- Create benchmark infrastructure:
- Custom Vitest benchmark configuration
- JSON reporter for CI results
- Result formatter for github-action-benchmark
- Performance threshold documentation
- Add supporting utilities:
- SQLiteStorageService for benchmark database setup
- MCPEngine wrapper for testing MCP tools
- Test factories for generating benchmark data
- Enhanced NodeRepository with benchmark methods
- Document benchmark system:
- Comprehensive benchmark guide in docs/BENCHMARKS.md
- Performance thresholds in .github/BENCHMARK_THRESHOLDS.md
- README for benchmarks directory
- Integration with existing test suite
The benchmark system will help monitor performance over time and catch regressions before they reach production.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
