- csi_processor.py: Replace np.random.rand(10) Doppler placeholder with real temporal phase-difference FFT extraction from CSI history buffer. Returns zeros (not random) when insufficient history frames available. - csi_extractor.py: Replace np.random.rand() fallbacks in ESP32 and Atheros parsers with proper data parsing (ESP32) and explicit error raising (Atheros). Add CSIExtractionError for clear failure reporting instead of silent random data substitution. These are the two most critical mock eliminations identified in ADR-011. 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/.