initial project setup
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# LabFusion Development Progress
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## Project Overview
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LabFusion is a unified dashboard and integration hub for homelab services, built with a polyglot microservices architecture.
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## Architecture Decisions
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- **Modular Services**: Each service is independently deployable
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- **Polyglot**: Services can use different languages (Java, Python, Go, Node.js)
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- **Message Bus**: Redis for inter-service communication
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- **Database**: PostgreSQL for persistent data
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- **Containerization**: Docker for all services
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## Completed Tasks ✅
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### Phase 1: Project Structure & Foundation
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- [x] **Project Structure Setup** (2024-11-09)
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- Created modular `services/` directory structure
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- Moved from `backend/` to `services/` for better modularity
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- Each service has its own directory with independent Docker setup
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- [x] **API Gateway Service** (2024-11-09)
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- Java Spring Boot application
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- JPA entities for User, Dashboard, Widget, Event, DeviceState
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- REST controllers for dashboard management
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- PostgreSQL integration
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- Redis message bus support
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- JWT authentication framework
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- [x] **Service Adapters** (2024-11-09)
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- Python FastAPI application
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- Integration endpoints for Home Assistant, Frigate, Immich, n8n
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- Redis event publishing
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- Configurable service connections
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- Mock data for development
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- [x] **Frontend Dashboard** (2024-11-09)
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- React application with Ant Design
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- System metrics visualization
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- Service status monitoring
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- Settings configuration
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- Responsive design
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- [x] **Infrastructure Setup** (2024-11-09)
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- Docker Compose for production and development
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- PostgreSQL database configuration
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- Redis message bus setup
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- Environment configuration templates
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- [x] **Documentation** (2024-11-09)
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- Comprehensive README with setup instructions
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- Service-specific README files
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- Progress tracking document
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- Updated project structure documentation
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## Current Status 🚧
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### Services Directory Structure
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```
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services/
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├── api-gateway/ # Java Spring Boot (Port 8080) ✅
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├── service-adapters/ # Python FastAPI (Port 8000) ✅
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├── metrics-collector/ # Go service (Port 8081) 🚧
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└── notification-service/ # Node.js service (Port 8082) 🚧
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```
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### Infrastructure
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- **Database**: PostgreSQL (Port 5432) ✅
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- **Message Bus**: Redis (Port 6379) ✅
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- **Frontend**: React (Port 3000) ✅
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- **Containerization**: Docker Compose ✅
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## Next Steps 🎯
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### Phase 2: Service Implementation
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- [ ] **Metrics Collector Service** (Go)
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- Implement Docker API integration
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- Add Prometheus metrics collection
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- Create Redis publishing mechanism
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- Add configuration management
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- [ ] **Notification Service** (Node.js/TypeScript)
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- Implement notification channels (email, webhook, push)
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- Create alert rule engine
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- Add notification preferences
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- Integrate with Redis for event processing
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### Phase 3: Real Service Integrations
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- [ ] **Home Assistant Integration**
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- Implement actual HA API calls
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- Add WebSocket support for real-time updates
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- Create entity state synchronization
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- [ ] **Frigate Integration**
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- Implement Frigate API integration
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- Add event processing and filtering
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- Create detection timeline visualization
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- [ ] **Immich Integration**
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- Implement Immich API calls
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- Add photo metadata processing
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- Create asset management features
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### Phase 4: Advanced Features
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- [ ] **Real-time Updates**
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- WebSocket implementation for live data
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- Event streaming from Redis
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- Frontend real-time UI updates
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- [ ] **Data Correlation Engine**
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- Cross-service event correlation
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- Timeline analysis
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- Pattern detection
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- [ ] **Authentication & Security**
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- JWT token implementation
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- User management
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- Role-based access control
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### Phase 5: Production Readiness
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- [ ] **Monitoring & Logging**
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- Centralized logging
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- Health checks
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- Performance monitoring
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- [ ] **CI/CD Pipeline**
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- GitHub Actions setup
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- Automated testing
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- Deployment automation
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- [ ] **Kubernetes Migration**
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- Helm charts
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- Kubernetes manifests
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- Production deployment
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## Development Notes
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### Service Independence
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Each service is designed to be:
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- Independently deployable
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- Language-agnostic
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- Self-contained with its own dependencies
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- Communicating via Redis message bus
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### Future Service Additions
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The modular structure allows for easy addition of new services:
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- **Data Processing Service** (Rust) - For heavy data processing
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- **ML Service** (Python) - For machine learning features
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- **API Gateway v2** (Go) - For high-performance routing
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- **Cache Service** (C++) - For high-performance caching
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## Technical Debt
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- [ ] Add comprehensive error handling
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- [ ] Implement proper logging across all services
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- [ ] Add unit and integration tests
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- [ ] Create API documentation with OpenAPI/Swagger
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- [ ] Add health check endpoints for all services
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## Resources
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- [Project Specifications](specs.md)
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- [Project Structure](structure.txt)
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- [Main README](../README.md)
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