Files
ruvnet--RuView/v2/crates/wifi-densepose-sensing-server
ruv 65648fe4c2 feat(adr-186): P5/P6 + acceptance verification — dashboard honesty, HTTP tests, Accepted
Completes ADR-186 phases P5 (dashboard honesty / fallback guarantee) and P6
(tests + witness) on top of the P1–P4 reconnection, and flips the ADR to Accepted.

P5 — dashboard honesty:
- Backend (training_api): a runtime enablement gate (`RUVIEW_DISABLE_SERVER_TRAINING`)
  makes the three start endpoints return a structured `{enabled:false, reason,
  cli:"wifi-densepose train-room"}` HTTP 409 (never a silent success) when server
  training is disabled; `/api/v1/train/status` now carries an `enabled` flag. A runtime
  flag (not a Cargo feature) so `--no-default-features` builds keep training ON (resolves
  §9.4). Handlers return `Response` to carry the 409.
- Frontend (TrainingPanel.js): reads `enabled` off the status payload and disables the
  Start/Pretrain/LoRA buttons with a CLI tooltip when server training is off; a rejected
  start tears down the optimistically-opened WS and refreshes. The enabled path was
  already fully wired (opens the WS before POST, renders live epoch/loss/ETA + terminal
  state) — verified.

P6 — tests & witness:
- New HTTP-level tests in a `#[cfg(test)] mod adr186_http_tests` built on a minimal
  `AppStateInner::minimal()` test-state helper: a live-socket test that completes a
  genuine 101 WebSocket handshake (tokio-tungstenite) and receives a real progress frame
  after a POST start; a 426-not-404 route-wired check; a full POST→poll-status→`.rvf`-exists
  round-trip; and the disabled-409 structured-response test. Added `tokio-tungstenite`
  dev-dep (version already in the workspace lock).
- CHANGELOG updated; ADR §6 ledger + §7 acceptance criteria checked off with evidence;
  Status → Accepted. README/CLAUDE have no training route table (no edit needed).

Fixed a test-only parallelism race found under `cargo test --workspace`: two
model-writing tests deleted `.rvf`s by directory-diff and could remove a file a third
test asserted existed. Each test now cleans only its own artifact (data/models is
gitignored).

Verified this session: `cargo test -p wifi-densepose-sensing-server -p wifi-densepose-train
--no-default-features` — sensing-server bin 217 passed / 0 failed, all train suites 0
failed. Full `--workspace` re-run in progress to reconfirm untouched crates.
2026-07-21 17:19:20 -07:00
..

wifi-densepose-sensing-server

Crates.io Documentation License

Lightweight Axum server for real-time WiFi sensing with RuVector signal processing.

Overview

wifi-densepose-sensing-server is the operational backend for WiFi-DensePose. It receives raw CSI frames from ESP32 hardware over UDP, runs them through the RuVector-powered signal processing pipeline, and broadcasts processed sensing updates to browser clients via WebSocket. A built-in static file server hosts the sensing UI on the same port.

The crate ships both a library (wifi_densepose_sensing_server) exposing the training and inference modules, and a binary (sensing-server) that starts the full server stack.

Integrates wifi-densepose-wifiscan for multi-BSSID WiFi scanning per ADR-022 Phase 3.

Features

  • UDP CSI ingestion -- Receives ESP32 CSI frames on port 5005 and parses them into the internal CsiFrame representation.
  • Vital sign detection -- Pure-Rust FFT-based breathing rate (0.1--0.5 Hz) and heart rate (0.67--2.0 Hz) estimation from CSI amplitude time series (ADR-021).
  • RVF container -- Standalone binary container format for packaging model weights, metadata, and configuration into a single .rvf file with 64-byte aligned segments.
  • RVF pipeline -- Progressive model loading with streaming segment decoding.
  • Graph Transformer -- Cross-attention bottleneck between antenna-space CSI features and the COCO 17-keypoint body graph, followed by GCN message passing (ADR-023 Phase 2). Pure std, no ML dependencies.
  • SONA adaptation -- LoRA + EWC++ online adaptation for environment drift without catastrophic forgetting (ADR-023 Phase 5).
  • Contrastive CSI embeddings -- Self-supervised SimCLR-style pretraining with InfoNCE loss, projection head, fingerprint indexing, and cross-modal pose alignment (ADR-024).
  • Sparse inference -- Activation profiling, sparse matrix-vector multiply, INT8/FP16 quantization, and a full sparse inference engine for edge deployment (ADR-023 Phase 6).
  • Dataset pipeline -- Training dataset loading and batching.
  • Multi-BSSID scanning -- Windows netsh integration for BSSID discovery via wifi-densepose-wifiscan (ADR-022).
  • WebSocket broadcast -- Real-time sensing updates pushed to all connected clients at ws://localhost:8765/ws/sensing.
  • Static file serving -- Hosts the sensing UI on port 8080 with CORS headers.

Modules

Module Description
vital_signs Breathing and heart rate extraction via FFT spectral analysis
rvf_container RVF binary format builder and reader
rvf_pipeline Progressive model loading from RVF containers
graph_transformer Graph Transformer + GCN for CSI-to-pose estimation
trainer Training loop orchestration
dataset Training data loading and batching
sona LoRA adapters and EWC++ continual learning
sparse_inference Neuron profiling, sparse matmul, INT8/FP16 quantization
embedding Contrastive CSI embedding model and fingerprint index

Quick Start

# Build the server
cargo build -p wifi-densepose-sensing-server

# Run with default settings (HTTP :8080, UDP :5005, WS :8765)
cargo run -p wifi-densepose-sensing-server

# Run with custom ports
cargo run -p wifi-densepose-sensing-server -- \
    --http-port 9000 \
    --udp-port 5005 \
    --static-dir ./ui

Using as a library

use wifi_densepose_sensing_server::vital_signs::VitalSignDetector;

// Create a detector with 20 Hz sample rate
let mut detector = VitalSignDetector::new(20.0);

// Feed CSI amplitude samples
for amplitude in csi_amplitudes.iter() {
    detector.push_sample(*amplitude);
}

// Extract vital signs
if let Some(vitals) = detector.detect() {
    println!("Breathing: {:.1} BPM", vitals.breathing_rate_bpm);
    println!("Heart rate: {:.0} BPM", vitals.heart_rate_bpm);
}

Architecture

ESP32 ──UDP:5005──> [ CSI Receiver ]
                          |
                    [ Signal Pipeline ]
                    (vital_signs, graph_transformer, sona)
                          |
                    [ WebSocket Broadcast ]
                          |
Browser <──WS:8765── [ Axum Server :8080 ] ──> Static UI files
Crate Role
wifi-densepose-wifiscan Multi-BSSID WiFi scanning (ADR-022)
wifi-densepose-core Shared types and traits
wifi-densepose-signal CSI signal processing algorithms
wifi-densepose-hardware ESP32 hardware interfaces
wifi-densepose-wasm Browser WASM bindings for the sensing UI
wifi-densepose-train Full training pipeline with ruvector
wifi-densepose-mat Disaster detection module

License

MIT OR Apache-2.0