wifi-densepose/v2/crates/wifi-densepose-sensing-server
ruv 74eb09f604 feat(adr-110): Prometheus exposition endpoint /api/v1/mesh/metrics
Iter 36 — Grafana / Home Assistant Prometheus integration / Cognitum
Seed observability stack can now scrape mesh state directly with no
JSON-to-metric translation layer.

Endpoint: GET /api/v1/mesh/metrics → text/plain (Prometheus exposition
format v0.0.4). Eight gauges, one per NodeSyncSnapshot field, labeled
by node:

  wifi_densepose_mesh_offset_us{node="N"}        <signed-int>
  wifi_densepose_mesh_is_leader{node="N"}        0|1
  wifi_densepose_mesh_is_valid{node="N"}         0|1
  wifi_densepose_mesh_smoothed{node="N"}         0|1
  wifi_densepose_mesh_sequence{node="N"}         <u32>
  wifi_densepose_mesh_csi_fps{node="N"}          <float>
  wifi_densepose_mesh_csi_fps_samples{node="N"}  <u32>
  wifi_densepose_mesh_staleness_ms{node="N"}     <u64>

Each metric carries the standard `# HELP` + `# TYPE` headers before
its series block, exactly the format Prometheus + most scrape-format
implementations expect.

Implementation reuses iter-30's `NodeState::sync_snapshot()` as the
single source of truth — same data the JSON endpoints emit, just
text-formatted with `{node=...}` labels. Nodes without a fresh sync
are absent (Prometheus handles missing series natively).

Test added (8/8 sync_snapshot_helper_tests now green):
  bool_metric_returns_zero_or_one_as_text
    Pins the Prometheus convention that boolean gauges emit "0" or "1"
    literally, never "false"/"true" — if anyone refactors the helper
    to format!("{b}"), Prometheus would 400-reject the scrape; this
    test catches that drift before production.

User-guide REST table updated with the new endpoint.

Grafana / HA scrape config:
  - job_name: wifi-densepose-mesh
    scrape_interval: 5s
    metrics_path: /api/v1/mesh/metrics
    static_configs:
      - targets: ['localhost:3000']

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-05-23 15:03:51 -04:00
..
src feat(adr-110): Prometheus exposition endpoint /api/v1/mesh/metrics 2026-05-23 15:03:51 -04:00
tests feat(introspection): I6 — regime-changed signal + per-frame analyze + honest ADR-099 D8 amendment 2026-05-13 23:29:37 -04:00
Cargo.toml feat(adr-115): P1 — Cargo features + CLI flags for MQTT/Matter/Semantic 2026-05-23 13:41:38 -04:00
README.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00

README.md

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