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