Files
ruvnet--RuView/v2/crates/wifi-densepose-sensing-server
Dragan Spiridonov 56327d0931 decide: browser sessions are read-only permanently; drop the dead step-up client
Decision: browser-side admin is not wanted. `BROWSER_SIGNIN_SCOPE` stays
`sensing:read`, and the escalate-on-demand design sketched while this was open
is not being built. Destructive operations — training, model delete, recording
delete — keep their home in the CLI, where `--admin` is explicit and typed by a
person. Routing them through a browser would mean either asking every user to
consent to delete capability in order to watch a stream, or building a second
consent flow to avoid that.

Consequences, now settled rather than open:

- The UI's admin controls are unreachable from a Cognitum browser session, and
  that is intended. The manual token-paste field is unchanged and still carries
  whatever authority the pasted token has, so nothing that worked before stops
  working.

- REMOVED the client-side step-up redirect from ui/services/api.service.js. It
  caught an RFC 6750 challenge that can never be issued to a browser, and it
  ended in `return new Promise(() => {})` — so if any other 401 had ever grown
  that header, every caller awaiting it would have hung forever with no error
  and no timeout. Dead code with a trap in it is worse than no code.

- KEPT ADMIN_REVERIFY_SECS as a server-side backstop. Fail-closed and free, so
  if the requested scope is ever widened the freshness requirement is already
  in place. Documented at its definition as a backstop specifically so nobody
  reads its passing tests as evidence the control is exercised — the tests
  reach it through a crate-internal seam that mints an admin cookie the real
  flow does not produce.

ADR-271 also stops hedging on the session TTL: chosen is A at one hour. Option B
(server-side refresh-token store) is not built, and the ADR now names the
residual instead of implying it is closed — within one hour a revoked Cognitum
grant still reads sensing data through an existing browser session. There is no
introspection endpoint, so nothing short of B closes that, and one hour is the
size of the hole we accepted.

Adds `the_cookie_max_age_matches_the_session_expiry`, which the previous ADR
revision asked for and nobody had written: Max-Age and the payload's `exp` are
two independent expressions of one lifetime, and drift means either the browser
presents a session we reject or we hold authority the browser discarded.

Verified: workspace 176 suites clean, UI 22, api.service.js parses.

Co-Authored-By: Ruflo & AQE
2026-07-23 14:47:31 +02:00
..

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