Files
wifi-densepose/ui/services/sensing.service.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

272 lines
7.7 KiB
JavaScript

/**
* Sensing WebSocket Service
*
* Manages the connection to the Python sensing WebSocket server
* (ws://localhost:8765) and provides a callback-based API for the UI.
*
* Falls back to simulated data if the server is unreachable so the UI
* always shows something.
*/
const SENSING_WS_URL = 'ws://localhost:8765';
const RECONNECT_DELAYS = [1000, 2000, 4000, 8000, 16000];
const MAX_RECONNECT_ATTEMPTS = 10;
const SIMULATION_INTERVAL = 500; // ms
class SensingService {
constructor() {
/** @type {WebSocket|null} */
this._ws = null;
this._listeners = new Set();
this._stateListeners = new Set();
this._reconnectAttempt = 0;
this._reconnectTimer = null;
this._simTimer = null;
this._state = 'disconnected'; // disconnected | connecting | connected | simulated
this._lastMessage = null;
// Ring buffer of recent RSSI values for sparkline
this._rssiHistory = [];
this._maxHistory = 60;
}
// ---- Public API --------------------------------------------------------
/** Start the service (connect or simulate). */
start() {
this._connect();
}
/** Stop the service entirely. */
stop() {
this._clearTimers();
if (this._ws) {
this._ws.close(1000, 'client stop');
this._ws = null;
}
this._setState('disconnected');
}
/** Register a callback for sensing data updates. Returns unsubscribe fn. */
onData(callback) {
this._listeners.add(callback);
// Immediately push last known data if available
if (this._lastMessage) callback(this._lastMessage);
return () => this._listeners.delete(callback);
}
/** Register a callback for connection state changes. Returns unsubscribe fn. */
onStateChange(callback) {
this._stateListeners.add(callback);
callback(this._state);
return () => this._stateListeners.delete(callback);
}
/** Get the RSSI sparkline history (array of floats). */
getRssiHistory() {
return [...this._rssiHistory];
}
/** Current connection state. */
get state() {
return this._state;
}
// ---- Connection --------------------------------------------------------
_connect() {
if (this._ws && this._ws.readyState <= WebSocket.OPEN) return;
this._setState('connecting');
try {
this._ws = new WebSocket(SENSING_WS_URL);
} catch (err) {
console.warn('[Sensing] WebSocket constructor failed:', err.message);
this._fallbackToSimulation();
return;
}
this._ws.onopen = () => {
console.info('[Sensing] Connected to', SENSING_WS_URL);
this._reconnectAttempt = 0;
this._stopSimulation();
this._setState('connected');
};
this._ws.onmessage = (evt) => {
try {
const data = JSON.parse(evt.data);
this._handleData(data);
} catch (e) {
console.warn('[Sensing] Invalid message:', e.message);
}
};
this._ws.onerror = () => {
// onerror is always followed by onclose, so we handle reconnect there
};
this._ws.onclose = (evt) => {
console.info('[Sensing] Connection closed (code=%d)', evt.code);
this._ws = null;
if (evt.code !== 1000) {
this._scheduleReconnect();
} else {
this._setState('disconnected');
}
};
}
_scheduleReconnect() {
if (this._reconnectAttempt >= MAX_RECONNECT_ATTEMPTS) {
console.warn('[Sensing] Max reconnect attempts reached, switching to simulation');
this._fallbackToSimulation();
return;
}
const delay = RECONNECT_DELAYS[Math.min(this._reconnectAttempt, RECONNECT_DELAYS.length - 1)];
this._reconnectAttempt++;
console.info('[Sensing] Reconnecting in %dms (attempt %d)', delay, this._reconnectAttempt);
this._reconnectTimer = setTimeout(() => {
this._reconnectTimer = null;
this._connect();
}, delay);
// Start simulation while waiting
if (this._state !== 'simulated') {
this._fallbackToSimulation();
}
}
// ---- Simulation fallback -----------------------------------------------
_fallbackToSimulation() {
this._setState('simulated');
if (this._simTimer) return; // already running
console.info('[Sensing] Running in simulation mode');
this._simTimer = setInterval(() => {
const data = this._generateSimulatedData();
this._handleData(data);
}, SIMULATION_INTERVAL);
}
_stopSimulation() {
if (this._simTimer) {
clearInterval(this._simTimer);
this._simTimer = null;
}
}
_generateSimulatedData() {
const t = Date.now() / 1000;
const baseRssi = -45;
const variance = 1.5 + Math.sin(t * 0.1) * 1.0;
const motionBand = 0.05 + Math.abs(Math.sin(t * 0.3)) * 0.15;
const breathBand = 0.03 + Math.abs(Math.sin(t * 0.05)) * 0.08;
const isPresent = variance > 0.8;
const isActive = motionBand > 0.12;
// Generate signal field
const gridSize = 20;
const values = [];
for (let iz = 0; iz < gridSize; iz++) {
for (let ix = 0; ix < gridSize; ix++) {
const cx = gridSize / 2, cy = gridSize / 2;
const dist = Math.sqrt((ix - cx) ** 2 + (iz - cy) ** 2);
let v = Math.max(0, 1 - dist / (gridSize * 0.7)) * 0.3;
// Body blob
const bx = cx + 3 * Math.sin(t * 0.2);
const by = cy + 2 * Math.cos(t * 0.15);
const bodyDist = Math.sqrt((ix - bx) ** 2 + (iz - by) ** 2);
if (isPresent) {
v += Math.exp(-bodyDist * bodyDist / 8) * (0.3 + motionBand * 3);
}
values.push(Math.min(1, Math.max(0, v + Math.random() * 0.05)));
}
}
return {
type: 'sensing_update',
timestamp: t,
source: 'simulated',
nodes: [{
node_id: 1,
rssi_dbm: baseRssi + Math.sin(t * 0.5) * 3,
position: [2, 0, 1.5],
amplitude: [],
subcarrier_count: 0,
}],
features: {
mean_rssi: baseRssi + Math.sin(t * 0.5) * 3,
variance,
std: Math.sqrt(variance),
motion_band_power: motionBand,
breathing_band_power: breathBand,
dominant_freq_hz: 0.3 + Math.sin(t * 0.02) * 0.1,
change_points: Math.floor(Math.random() * 3),
spectral_power: motionBand + breathBand + Math.random() * 0.1,
range: variance * 3,
iqr: variance * 1.5,
skewness: (Math.random() - 0.5) * 0.5,
kurtosis: Math.random() * 2,
},
classification: {
motion_level: isActive ? 'active' : (isPresent ? 'present_still' : 'absent'),
presence: isPresent,
confidence: isPresent ? 0.75 + Math.random() * 0.2 : 0.5 + Math.random() * 0.3,
},
signal_field: {
grid_size: [gridSize, 1, gridSize],
values,
},
};
}
// ---- Data handling -----------------------------------------------------
_handleData(data) {
this._lastMessage = data;
// Update RSSI history for sparkline
if (data.features && data.features.mean_rssi != null) {
this._rssiHistory.push(data.features.mean_rssi);
if (this._rssiHistory.length > this._maxHistory) {
this._rssiHistory.shift();
}
}
// Notify all listeners
for (const cb of this._listeners) {
try {
cb(data);
} catch (e) {
console.error('[Sensing] Listener error:', e);
}
}
}
// ---- State management --------------------------------------------------
_setState(newState) {
if (newState === this._state) return;
this._state = newState;
for (const cb of this._stateListeners) {
try { cb(newState); } catch (e) { /* ignore */ }
}
}
_clearTimers() {
this._stopSimulation();
if (this._reconnectTimer) {
clearTimeout(this._reconnectTimer);
this._reconnectTimer = null;
}
}
}
// Singleton
export const sensingService = new SensingService();