Files
wifi-densepose/ui/components/SensingTab.js
ruv b7e0f07e6e feat: Sensing-only UI mode with Gaussian splat visualization and Rust migration ADR
- Add Python WebSocket sensing server (ws_server.py) with ESP32 UDP CSI
  and Windows RSSI auto-detect collectors on port 8765
- Add Three.js Gaussian splat renderer with custom GLSL shaders for
  real-time WiFi signal field visualization (blue→green→red gradient)
- Add SensingTab component with RSSI sparkline, feature meters, and
  motion classification badge
- Add sensing.service.js WebSocket client with reconnect and simulation fallback
- Implement sensing-only mode: suppress all DensePose API calls when
  FastAPI backend (port 8000) is not running, clean console output
- ADR-019: Document sensing-only UI architecture and data flow
- ADR-020: Migrate AI/model inference to Rust with RuVector ONNX Runtime,
  replacing ~2.7GB Python stack with ~50MB static binary
- Add ruvnet/ruvector as upstream remote for RuVector crate ecosystem

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-02-28 14:37:29 -05:00

303 lines
10 KiB
JavaScript

/**
* SensingTab — Live WiFi Sensing Visualization
*
* Connects to the sensing WebSocket service and renders:
* 1. A 3D Gaussian-splat signal field (via gaussian-splats.js)
* 2. An overlay HUD with real-time metrics (RSSI, variance, bands, classification)
*/
import { sensingService } from '../services/sensing.service.js';
import { GaussianSplatRenderer } from './gaussian-splats.js';
export class SensingTab {
/** @param {HTMLElement} container - the #sensing section element */
constructor(container) {
this.container = container;
this.splatRenderer = null;
this._unsubData = null;
this._unsubState = null;
this._resizeObserver = null;
this._threeLoaded = false;
}
async init() {
this._buildDOM();
await this._loadThree();
this._initSplatRenderer();
this._connectService();
this._setupResize();
}
// ---- DOM construction --------------------------------------------------
_buildDOM() {
this.container.innerHTML = `
<h2>Live WiFi Sensing</h2>
<div class="sensing-layout">
<!-- 3D viewport -->
<div class="sensing-viewport" id="sensingViewport">
<div class="sensing-loading">Loading 3D engine...</div>
</div>
<!-- Side panel -->
<div class="sensing-panel">
<!-- Connection -->
<div class="sensing-card">
<div class="sensing-card-title">Connection</div>
<div class="sensing-connection">
<span class="sensing-dot" id="sensingDot"></span>
<span id="sensingState">Connecting...</span>
<span class="sensing-source" id="sensingSource"></span>
</div>
</div>
<!-- RSSI -->
<div class="sensing-card">
<div class="sensing-card-title">RSSI</div>
<div class="sensing-big-value" id="sensingRssi">-- dBm</div>
<canvas id="sensingSparkline" width="200" height="40"></canvas>
</div>
<!-- Signal Features -->
<div class="sensing-card">
<div class="sensing-card-title">Signal Features</div>
<div class="sensing-meters">
<div class="sensing-meter">
<label>Variance</label>
<div class="sensing-bar"><div class="sensing-bar-fill" id="barVariance"></div></div>
<span class="sensing-meter-val" id="valVariance">0</span>
</div>
<div class="sensing-meter">
<label>Motion Band</label>
<div class="sensing-bar"><div class="sensing-bar-fill motion" id="barMotion"></div></div>
<span class="sensing-meter-val" id="valMotion">0</span>
</div>
<div class="sensing-meter">
<label>Breathing Band</label>
<div class="sensing-bar"><div class="sensing-bar-fill breath" id="barBreath"></div></div>
<span class="sensing-meter-val" id="valBreath">0</span>
</div>
<div class="sensing-meter">
<label>Spectral Power</label>
<div class="sensing-bar"><div class="sensing-bar-fill spectral" id="barSpectral"></div></div>
<span class="sensing-meter-val" id="valSpectral">0</span>
</div>
</div>
</div>
<!-- Classification -->
<div class="sensing-card">
<div class="sensing-card-title">Classification</div>
<div class="sensing-classification" id="sensingClassification">
<div class="sensing-class-label" id="classLabel">ABSENT</div>
<div class="sensing-confidence">
<label>Confidence</label>
<div class="sensing-bar"><div class="sensing-bar-fill confidence" id="barConfidence"></div></div>
<span class="sensing-meter-val" id="valConfidence">0%</span>
</div>
</div>
</div>
<!-- Extra info -->
<div class="sensing-card">
<div class="sensing-card-title">Details</div>
<div class="sensing-details">
<div class="sensing-detail-row">
<span>Dominant Freq</span><span id="valDomFreq">0 Hz</span>
</div>
<div class="sensing-detail-row">
<span>Change Points</span><span id="valChangePoints">0</span>
</div>
<div class="sensing-detail-row">
<span>Sample Rate</span><span id="valSampleRate">--</span>
</div>
</div>
</div>
</div>
</div>
`;
}
// ---- Three.js loading --------------------------------------------------
async _loadThree() {
if (window.THREE) {
this._threeLoaded = true;
return;
}
return new Promise((resolve, reject) => {
const script = document.createElement('script');
script.src = 'https://cdnjs.cloudflare.com/ajax/libs/three.js/r128/three.min.js';
script.onload = () => {
this._threeLoaded = true;
resolve();
};
script.onerror = () => reject(new Error('Failed to load Three.js'));
document.head.appendChild(script);
});
}
// ---- Splat renderer ----------------------------------------------------
_initSplatRenderer() {
const viewport = this.container.querySelector('#sensingViewport');
if (!viewport) return;
// Remove loading message
viewport.innerHTML = '';
try {
this.splatRenderer = new GaussianSplatRenderer(viewport, {
width: viewport.clientWidth,
height: viewport.clientHeight || 500,
});
} catch (e) {
console.error('[SensingTab] Failed to init splat renderer:', e);
viewport.innerHTML = '<div class="sensing-loading">3D rendering unavailable</div>';
}
}
// ---- Service connection ------------------------------------------------
_connectService() {
sensingService.start();
this._unsubData = sensingService.onData((data) => this._onSensingData(data));
this._unsubState = sensingService.onStateChange((state) => this._onStateChange(state));
}
_onSensingData(data) {
// Update 3D view
if (this.splatRenderer) {
this.splatRenderer.update(data);
}
// Update HUD
this._updateHUD(data);
}
_onStateChange(state) {
const dot = this.container.querySelector('#sensingDot');
const text = this.container.querySelector('#sensingState');
if (!dot || !text) return;
const labels = {
disconnected: 'Disconnected',
connecting: 'Connecting...',
connected: 'Connected',
simulated: 'Simulated',
};
dot.className = 'sensing-dot ' + state;
text.textContent = labels[state] || state;
}
// ---- HUD update --------------------------------------------------------
_updateHUD(data) {
const f = data.features || {};
const c = data.classification || {};
// RSSI
this._setText('sensingRssi', `${(f.mean_rssi || -80).toFixed(1)} dBm`);
this._setText('sensingSource', data.source || '');
// Bars (scale to 0-100%)
this._setBar('barVariance', f.variance, 10, 'valVariance', f.variance);
this._setBar('barMotion', f.motion_band_power, 0.5, 'valMotion', f.motion_band_power);
this._setBar('barBreath', f.breathing_band_power, 0.3, 'valBreath', f.breathing_band_power);
this._setBar('barSpectral', f.spectral_power, 2.0, 'valSpectral', f.spectral_power);
// Classification
const label = this.container.querySelector('#classLabel');
if (label) {
const level = (c.motion_level || 'absent').toUpperCase();
label.textContent = level;
label.className = 'sensing-class-label ' + (c.motion_level || 'absent');
}
const confPct = ((c.confidence || 0) * 100).toFixed(0);
this._setBar('barConfidence', c.confidence, 1.0, 'valConfidence', confPct + '%');
// Details
this._setText('valDomFreq', (f.dominant_freq_hz || 0).toFixed(3) + ' Hz');
this._setText('valChangePoints', String(f.change_points || 0));
this._setText('valSampleRate', data.source === 'simulated' ? 'sim' : 'live');
// Sparkline
this._drawSparkline();
}
_setText(id, text) {
const el = this.container.querySelector('#' + id);
if (el) el.textContent = text;
}
_setBar(barId, value, maxVal, valId, displayVal) {
const bar = this.container.querySelector('#' + barId);
if (bar) {
const pct = Math.min(100, Math.max(0, ((value || 0) / maxVal) * 100));
bar.style.width = pct + '%';
}
if (valId && displayVal != null) {
const el = this.container.querySelector('#' + valId);
if (el) el.textContent = typeof displayVal === 'number' ? displayVal.toFixed(3) : displayVal;
}
}
_drawSparkline() {
const canvas = this.container.querySelector('#sensingSparkline');
if (!canvas) return;
const ctx = canvas.getContext('2d');
const history = sensingService.getRssiHistory();
if (history.length < 2) return;
const w = canvas.width;
const h = canvas.height;
ctx.clearRect(0, 0, w, h);
const min = Math.min(...history) - 2;
const max = Math.max(...history) + 2;
const range = max - min || 1;
ctx.beginPath();
ctx.strokeStyle = '#32b8c6';
ctx.lineWidth = 1.5;
for (let i = 0; i < history.length; i++) {
const x = (i / (history.length - 1)) * w;
const y = h - ((history[i] - min) / range) * h;
if (i === 0) ctx.moveTo(x, y);
else ctx.lineTo(x, y);
}
ctx.stroke();
}
// ---- Resize ------------------------------------------------------------
_setupResize() {
const viewport = this.container.querySelector('#sensingViewport');
if (!viewport || !window.ResizeObserver) return;
this._resizeObserver = new ResizeObserver((entries) => {
for (const entry of entries) {
if (this.splatRenderer) {
this.splatRenderer.resize(entry.contentRect.width, entry.contentRect.height);
}
}
});
this._resizeObserver.observe(viewport);
}
// ---- Cleanup -----------------------------------------------------------
dispose() {
if (this._unsubData) this._unsubData();
if (this._unsubState) this._unsubState();
if (this._resizeObserver) this._resizeObserver.disconnect();
if (this.splatRenderer) this.splatRenderer.dispose();
sensingService.stop();
}
}