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### Summary of Changes - Refactored the `test_get_services` method to enhance the organization of mock responses and improve test clarity. - Streamlined the setup of service status mock data, making it easier to understand and maintain. ### Expected Results - Increased readability of test definitions, facilitating easier updates and modifications in the future. - Enhanced maintainability of the test suite by reducing complexity in mock data management.
Service Adapters
Python FastAPI service for integrating with external homelab services.
Purpose
- Integrate with Home Assistant, Frigate, Immich, n8n
- Transform external service data into standardized format
- Publish events to the message bus
- Provide unified API for service data
Technology Stack
- Language: Python 3.11
- Framework: FastAPI
- Port: 8000
- Message Bus: Redis
- Documentation: OpenAPI/Swagger
Features
- Home Assistant entity integration
- Frigate event processing
- Immich asset management
- n8n workflow triggers
- Event publishing to Redis
- Comprehensive OpenAPI documentation
- Modular architecture for maintainability
Project Structure
service-adapters/
├── main.py # FastAPI application (40 lines)
├── models/
│ ├── schemas.py # Pydantic models
├── routes/
│ ├── general.py # Root, health, services
│ ├── home_assistant.py # HA integration
│ ├── frigate.py # Frigate integration
│ ├── immich.py # Immich integration
│ └── events.py # Event management
└── services/
├── config.py # Service configurations
└── redis_client.py # Redis connection
API Endpoints
GET /- API informationGET /health- Health checkGET /services- Service statusGET /home-assistant/entities- HA entitiesGET /frigate/events- Frigate eventsGET /immich/assets- Immich assetsPOST /publish-event- Publish eventsGET /events- Retrieve events
Development Status
✅ Complete - Core functionality implemented with modular architecture and comprehensive testing
Testing
- Unit Tests: Comprehensive test coverage with pytest
- Coverage: HTML coverage reports in
htmlcov/ - Security: Bandit and Safety security scanning
- Quality: Black, isort, flake8, mypy code quality checks
- CI/CD: Automated testing in Gitea Actions pipeline
Clean Code Implementation
- Modular Structure: Separated concerns across models, routes, and services
- Type Safety: Pydantic models with comprehensive validation
- Error Handling: Consistent error responses and proper HTTP status codes
- Documentation: Auto-generated OpenAPI documentation
- Testing: Comprehensive test suite with high coverage
- Code Quality: Automated formatting and linting