b3916386a3
Add comprehensive test suite (36 tests) for the ADR-013 commodity sensing module covering all components: RingBuffer, SimulatedCollector determinism, feature extraction (time-domain stats, FFT spectral analysis, band power isolation), CUSUM change-point detection, presence/motion classification, and end-to-end CommodityBackend pipeline. Fix feature_extractor.py: add missing _trim_to_window method that caused AttributeError on the WifiSample extraction path, add post-trim sample count guard, and handle constant-signal edge case in skewness/kurtosis computation to prevent scipy RuntimeWarning. https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
WiFi-DensePose v1 (Python Implementation)
This directory contains the original Python implementation of WiFi-DensePose.
Structure
v1/
├── src/ # Python source code
│ ├── api/ # REST API endpoints
│ ├── config/ # Configuration management
│ ├── core/ # Core processing logic
│ ├── database/ # Database models and migrations
│ ├── hardware/ # Hardware interfaces
│ ├── middleware/ # API middleware
│ ├── models/ # Neural network models
│ ├── services/ # Business logic services
│ └── tasks/ # Background tasks
├── tests/ # Test suite
├── docs/ # Documentation
├── scripts/ # Utility scripts
├── data/ # Data files
├── setup.py # Package setup
├── test_application.py # Application tests
└── test_auth_rate_limit.py # Auth/rate limit tests
Requirements
- Python 3.10+
- PyTorch 2.0+
- FastAPI
- PostgreSQL/SQLite
Installation
cd v1
pip install -e .
Usage
# Start API server
python -m src.main
# Run tests
pytest tests/
Note
This is the legacy Python implementation. For the new Rust implementation with improved performance, see /rust-port/wifi-densepose-rs/.