labFusion/docs/progress.md

# 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

- [x] **API Documentation Service** (2024-11-09)
  - Unified Swagger/OpenAPI documentation service
  - Aggregates API specs from all services
  - Service health monitoring
  - Dynamic spec generation with service prefixing
  - Express.js service with Swagger UI integration

- [x] **Enhanced Service Adapters** (2024-11-09)
  - Comprehensive OpenAPI documentation with Pydantic models
  - Detailed request/response schemas for all endpoints
  - Service-specific tags and descriptions
  - Enhanced error handling with proper HTTP status codes
  - Additional endpoints for better service integration

## 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) 🚧
└── api-docs/             # API Documentation (Port 8083) ✅
```

### Infrastructure
- **Database**: PostgreSQL (Port 5432) ✅
- **Message Bus**: Redis (Port 6379) ✅
- **Frontend**: React (Port 3000) ✅
- **API Documentation**: Unified Swagger UI (Port 8083) ✅
- **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)