Claude/add claude documentation d60 di - #2
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Features: - FastAPI app with automatic OpenAPI docs (/docs) - POST /api/v1/analyze: Compute 28+ error metrics - GET /api/v1/metrics/info: Metric descriptions - Health check endpoints for container orchestration - CORS enabled for React frontend - Proper error handling and validation Testing: - All endpoints verified working - Example: RMSE=0.2236, NSC=0.9685, Cor=0.9891
Features:
- SQLite database with SQLAlchemy ORM
- AnalysisRecord: Track each analysis with full metrics
- UserSession: Track user sessions and activity
- SystemStats: Overall system statistics
New endpoints:
- GET /api/v1/stats/user/{user_id}: User statistics
- GET /api/v1/stats/system: System-wide statistics
- GET /api/v1/history: Analysis history with filters
Analysis endpoint now:
- Logs all analyses to database
- Tracks session IDs via X-Session-ID header
- Stores user_id, analysis_name, notes
- Records 28+ metrics for each analysis
Testing:
- All endpoints verified working
- 2 test analyses logged successfully
- User stats: Avg NSC=0.9779
Features: - Multi-stage Dockerfile for optimized builds (~200MB) - docker-compose.yml for development with hot reload - docker-compose.prod.yml for production deployment - Makefile with convenient commands - .dockerignore for efficient builds - Health checks for orchestration Deployment options: - Local: make run - Production: make run-prod - Google Cloud Run ready - Docker Hub compatible Documentation: - DOCKER.md with complete deployment guide - GitHub Actions workflow for CI/CD - Environment variable configuration Next: React frontend (Stage 4)
Frontend Stack: - React 18 + Vite (fast dev server) - Tailwind CSS for styling - Recharts for time series visualization - React Router for navigation - Axios for API integration Pages: 1. Dashboard (/) - System overview and statistics 2. Analyze (/analyze) - Input data and run analysis 3. History (/history) - View past analyses with filters 4. Stats (/stats) - Detailed statistics dashboard Features: - Real-time error analysis with 28+ metrics - Interactive time series charts - User session tracking - Export results as JSON - Responsive design - Dark mode ready Docker: - Multi-stage Dockerfile (build + nginx) - Hot reload in development - Production-ready nginx config - Integrated with docker-compose Testing: - Manual testing verified all pages - API integration working - Charts rendering correctly Next: Advanced time series tools (Stage 5)
Backend Features: - Spline interpolation (linear, quadratic, cubic) - Data smoothing (moving average, Savitzky-Golay, exponential) - Missing data filling (linear, forward, backward, mean, median) - Trend decomposition (additive, multiplicative) - Outlier detection (Z-score, IQR) - Time series resampling New Endpoints: - POST /api/v1/timeseries/interpolate - POST /api/v1/timeseries/smooth - POST /api/v1/timeseries/fill-missing - POST /api/v1/timeseries/decompose - POST /api/v1/timeseries/detect-outliers - POST /api/v1/timeseries/resample Frontend Features: - New Tools page (/tools) with interactive UI - Real-time visualization of processed data - Multiple smoothing methods - Trend & seasonal decomposition charts - Outlier detection scatter plots Dependencies: - Added scipy==1.15.1 for advanced signal processing Testing: - All 6 endpoints tested successfully - Interpolation: 10 → 20 points - Smoothing: 3 methods working - Outlier detection: correct identification - Decomposition: trend/seasonal separation Next: Spatial analysis (Stage 6)
Deployment Options: - Frontend: Vercel (free tier, auto-deploys) - Backend: Render or Railway (free tiers) - Database: Render PostgreSQL (optional, falls back to SQLite) New Files: - DEPLOYMENT.md: Complete step-by-step guide - render.yaml: Render Blueprint auto-config - frontend/vercel.json: Vercel configuration - deploy-render.sh: Quick deploy script for Render - deploy-railway.sh: Quick deploy script for Railway Features: ✓ One-click deploy buttons in README ✓ Auto-configuration via render.yaml ✓ Environment variables documented ✓ Both PostgreSQL and SQLite support ✓ Continuous deployment on git push ✓ Free tier limits documented Quick Deploy: 1. Click "Deploy to Render" button 2. Click "Deploy to Vercel" button 3. Set VITE_API_URL environment variable 4. Live in 5 minutes! Cost: $0 (completely free tier)
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