Files
Mathew Beaneandclaude-flow f8ab204711 fix(wifiscan): keep the redacted macOS connected link; auto+wifi keeps UDP bound
On macOS 27, without Location Services, CoreWLAN redacts both the SSID and
the BSSID, while rssi, noise and channel stay real. resolve_bssid abstained
when both identities were blank, so every macOS scan was dropped and
`--source wifi` silently produced nothing.

- mac_wifi --scan-once marks its sample `"connected": true`. It is always the
  single connected link, so a synthetic id cannot merge two networks.
- A redacted connected sample gets a stable locally administered synthetic
  BSSID; the SSID stays empty. Unmarked redacted lines still abstain.
- `--source auto` that resolves to host WiFi now also binds UDP, and wifi_task
  yields while the source is a live esp32, so ESP32 nodes that start after
  the boot probe still promote the source (the #1004 rule). Without this, the
  fix would make stock Macs ignore late-starting nodes.
- A missing helper is reported once, with the build command.
- ADR-025: Updated row + Amendment 1 recording the measured behaviour.

Measured on macOS 27: --source wifi gives source wifi:unnamed with sensing
ticks advancing; --source auto on a quiet port starts on wifi with
udp_receiver=true and promotes to esp32 (5 nodes) when real frames arrive.
Tests: wifiscan 158+1, sensing-server bin 332, all passing.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-10-02 03:11:08 -04:00
..
2026-07-18 18:01:23 -04:00

⚠️ DEPRECATED — unmaintained and superseded

This tree is the original pure-Python implementation and is kept only as a research archive. It receives no fixes, reviews, or support. Read DEPRECATED.md before using anything below.

  • Its DensePoseHead is architecture-only with random-initialized weights and ships no trained checkpoint — running it produces random output, not real pose accuracy.
  • The maintained path is the v2/ Rust workspace and the wifi-densepose 2.x / ruview pip wheel (ADR-117). The wifi-densepose 1.x line is tombstoned on PyPI (1.99.0 raises ImportError).
  • Real trained weights live elsewhere: ruvnet/wifi-densepose-pretrained (presence, 82.3%) and ruvnet/wifi-densepose-mmfi-pose (17-keypoint pose, 82.69% torso-PCK@20).
  • The only still-live artifact here is the deterministic proof data/proof/verify.py (ADR-028), which stays. See ADR-187.

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 /v2/.