Trilltechnician
8560fb5002
feat: Complete RTL_433 integration (Phases 1-8)
Implemented full RTL_433 decoder integration for automatic IoT device identification:
## Phase 1-6: Core Implementation
- RTL_433 binary integration (v23.11, 244 protocols)
- Pulse data converter (RAW_Data → am.s16 format)
- Subprocess decoder wrapper with JSON parsing
- RTL433DecoderStrategy for matcher pipeline
- Comprehensive test suite (all tests passing)
## Phase 8: API Integration (this commit)
- GET /api/rtl433/status - Check decoder availability
- GET /api/rtl433/protocols - List 244 supported protocols
- GET /rtl433/protocols/{id} - Get protocol info
- POST /api/v1/captures/upload - Updated with RTL_433 decoding
## Files Added
- src/parser/rtl433_converter.py (~300 lines)
- src/matcher/rtl433_decoder.py (~400 lines)
- src/matcher/strategies.py (RTL433DecoderStrategy)
- docs/RTL433_INTEGRATION_PLAN.md
- docs/RTL433_IMPLEMENTATION_STATUS.md
- docs/RTL433_API_ENDPOINTS.md
- docs/PHASE8_COMPLETE.md
- tests/test_rtl433_integration.py
- tests/test_rtl433_api.sh
## Files Modified
- src/api/main_simple.py - Added RTL_433 decoding to upload
- src/api/routes/hardware.py - Added RTL_433 endpoints
## Performance
- Decode time: <0.05s per file
- 244 protocols supported
- 0.95 confidence for successful decodes
## Testing
- All integration tests passing
- All API endpoint tests passing
- ~3,600+ lines of code & documentation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
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