- Convert numpy.int64 to Python int before passing to SQLAlchemy queries
- Prevents psycopg2.ProgrammingError: can't adapt type 'numpy.int64'
- Applied to get_candles(), get_span_annotations(), and get_point_annotations()
- All ML service database access tests now passing successfully
Add complete workflow for using TA-Lib to bootstrap training data:
- generate_talib_annotations.py: Python script to run TA-Lib CDL* functions
and output span annotations in UI-compatible format
- import_talib_annotations.ts: TypeScript script to import generated
annotations into the UI database with auto-label-type creation
- npm script 'import-annotations' for easy execution
- TALIB_WORKFLOW.md: Comprehensive guide covering the full cycle:
* Generate patterns with TA-Lib
* Import into UI
* Review and edit in browser
* Export and train model
* Compare predictions with TA-Lib detections
* Iterate for improvement
This enables the intended workflow: use TA-Lib for initial annotations,
manually refine them, then train a model that learns from corrections.
- Add disagreement detection logic comparing human annotations vs predictions
- Display prediction summary in PredictionPanel (agreements/disagreements)
- Wire up 'Show only disagreements' filter toggle
- Add loading overlay during prediction fetching
- Update docker-compose.yml with healthchecks for all services
- Update DEPLOYMENT.md with comprehensive ML service setup instructions
- Update README.md with ML pipeline overview and architecture diagrams
- Update CLAUDE_DESCRIPTION.md with v3.0.0 ML integration details
Remaining tasks (11.2, 11.4, 11.5) deferred - core functionality complete
- Update README.md with Docker quickstart and new features (label management, hacker theme)
- Add detailed Docker deployment section to DEPLOYMENT.md:
- docker-compose usage
- Environment configuration
- Data persistence and backup
- Container health checks
- Troubleshooting steps
- Production deployment guidance
- Create comprehensive CLAUDE_DESCRIPTION.md:
- Project overview and version info
- Recent changes in v2.0.0
- Technical stack details
- Core features and file structure
- State management explanation
- Data flow diagrams
- API endpoints reference
- Development workflow
- Customization points
- Performance and security notes
- Created CandleChart component with lightweight-charts integration
- Implemented SvgOverlay component for line drawing
- Integrated all components in main page
- Fixed TypeScript and Tailwind CSS compatibility issues
- Added comprehensive README.md with project documentation
- Created DEPLOYMENT.md with setup and troubleshooting guide
- Downgraded to stable versions (Tailwind v3, lightweight-charts v4)
- All 59 tasks from OpenSpec completed
