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Core data models\n│   ├── sensors/              # Sensor interface and implementations\n│   ├── data/                 # Data processing and storage\n│   ├── gui/                  # Graphical user interface\n│   │   └── widgets/          # Reusable UI components\n│   └── utils/                # Utilities (logging, etc.)\n├── tests/\n│   ├── unit/                 # Unit tests\n│   └── integration/          # Integration tests\n├── config/                   # Configuration files\n├── logs/                     # Log files\n├── main.py                   # Main entry point\n├── run_tests.py              # Test runner script\n└── requirements.txt          # Python dependencies\n```\n\n## Installation\n\n1. **Navigate to project** :\n   ```bash\n   cd rocket_telemetry\n   ```\n\n2. **Install dependencies** :\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n## Usage\n\n### Launch Application\n\n```bash\npython main.py\n```\n\n### Dashboard Interface\n\nThe interface is divided into several sections:\n\n- **Control Panel**: Sensor connection, start/stop acquisition, data saving\n- **Real-time Data**: Digital display of current values\n- **Charts**: Real-time visualization by tabs (Altitude, Acceleration, Environment, Orientation)\n- **System Status**: Component state and statistics\n\n### Main Features\n\n1. **Connect Sensor**: Click \"Connect Sensor\"\n2. **Start Acquisition**: Click \"Start Acquisition\" button (green)\n3. **Visualize Data**: Watch real-time chart updates\n4. **Save Data**: Click \"Save Data\" button to export\n5. **Stop**: Click \"Stop Acquisition\" button (red)\n\n## Telemetry Data\n\nThe system collects and displays:\n\n- **Flight**: Altitude (m), Velocity (m/s)\n- **Acceleration**: X, Y, Z axes (m/s²)\n- **Environment**: Temperature (°C), Pressure (hPa)\n- **Orientation**: Roll, Pitch, Yaw (degrees)\n- **System**: GPS (lat/lon), Battery voltage (V)\n\n## Testing\n\nRun all tests:\n\n```bash\npython run_tests.py\n```\n\nUnit tests only:\n```bash\npython -m unittest discover tests/unit\n```\n\nIntegration tests only:\n```bash\npython -m unittest discover tests/integration\n```\n\n## Technical Architecture\n\n### Design Principles\n\n- **KISS**: Simple interface, readable code\n- **DRY**: Reusable components, no duplication\n- **SOLID**: Separation of concerns, extensibility\n- **Clean Code**: Explicit naming, clear structure\n- **Testability**: Complete test coverage\n\n### Main Components\n\n1. **TelemetryReading**: Immutable data model\n2. **BaseSensor**: Abstract interface for sensors\n3. **TelemetryProcessor**: Thread-safe real-time processing\n4. **DataStorage**: Multi-format persistence\n5. **MainWindow**: Modular graphical interface\n\n### Observer Pattern\n\nThe system uses an Observer pattern for communication:\n- Sensors produce data\n- Processor validates and processes\n- UI widgets are notified via callbacks\n- Complete decoupling between components\n\n## Extensibility\n\n### Add New Sensor\n\n1. Inherit from `BaseSensor`\n2. Implement `connect()`, `disconnect()`, `read_data()`\n3. Replace `MockRocketSensor` in `MainWindow`\n\n### Add New Widget\n\n1. Create in `src/gui/widgets/`\n2. Inherit from `QWidget`\n3. Implement `update_data()` method\n4. Add to main layout\n\n### New Export Format\n\n1. Add method in `DataStorage`\n2. Implement serialization\n3. Add button in `ControlPanelWidget`\n\n## Security\n\n- Strict input data validation\n- Safety limits on all parameters\n- Robust error handling\n- Detailed logs for audit trail\n\n## Performance\n\n- Threading to avoid UI blocking\n- Circular buffers for limited memory\n- Optimized chart updates\n- Automatic log rotation\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkevinbdx35%2Frocket-telemetry","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkevinbdx35%2Frocket-telemetry","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkevinbdx35%2Frocket-telemetry/lists"}