2b961611fd
✨ New Features: - AI-powered habit creation with natural language processing - HuggingFace transformers integration for sentiment analysis (tracked via Git LFS) - Advanced predictive analytics and behavioral insights - Voice & image input capabilities for hands-free habit tracking - Real-time notifications and community features - Plugin system with extensible architecture 🔧 Technical Improvements: - Comprehensive FastAPI backend with 30+ endpoints - React frontend with PWA capabilities - Advanced authentication with 2FA support - RBAC authorization system - Comprehensive security features (CSRF, rate limiting, audit logging) - Database migrations and health monitoring - Docker containerization support - Git LFS configured for large AI model files (2+ GB) 📚 Documentation & DevOps: - Complete deployment guides for multiple platforms - Professional README with feature highlights - GitHub Actions CI/CD workflows - Comprehensive API documentation - Security audit roadmap and compliance framework - Setup scripts for development environment 🧪 Testing & Quality: - Comprehensive test suite with 20+ test modules - Setup verification scripts - Working development environment with both backend and frontend - Health checks and monitoring systems 🌟 Ready for: - Portfolio showcasing - Community contributions - Production deployment - Professional presentation
22 lines
496 B
Plaintext
22 lines
496 B
Plaintext
# Development Environment Configuration
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DEBUG=true
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ENVIRONMENT=development
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DATABASE_URL=sqlite:///modern_dev.db
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SECRET_KEY=dev-secret-key-change-in-production
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AI_MODELS_PATH=./ai_models
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LOG_LEVEL=DEBUG
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# API Configuration
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API_HOST=127.0.0.1
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API_PORT=8000
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CORS_ORIGINS=["http://localhost:3000", "http://127.0.0.1:3000"]
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# AI Configuration
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HUGGINGFACE_CACHE_DIR=./ai_models
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MAX_MODEL_MEMORY_MB=2048
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ENABLE_AI_CACHING=true
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# Performance Monitoring
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ENABLE_METRICS=true
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METRICS_EXPORT_INTERVAL=300
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