- 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 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
