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https://github.com/ruvnet/RuView
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feat: dynamic classifier classes, per-node UI, XSS fix, RSSI fix
Complements #326 (per-node state pipeline) with additional features: - Dynamic adaptive classifier: discover activity classes from training data filenames instead of hardcoded array. Users add classes via filename convention (train_<class>_<desc>.jsonl), no code changes. - Per-node UI cards: SensingTab shows individual node status with color-coded markers, RSSI, variance, and classification per node. - Colored node markers in 3D gaussian splat view (8-color palette). - Per-node RSSI history tracking in sensing service. - XSS fix: UI uses createElement/textContent instead of innerHTML. - RSSI sign fix: ensure dBm values are always negative. - GET /api/v1/nodes endpoint for per-node health monitoring. - node_features field in WebSocket SensingUpdate messages. - Firmware watchdog fix: yield after every frame to prevent IDLE1 starvation. Addresses #237, #276, #282 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -110,12 +110,18 @@ export class SensingTab {
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<div class="sensing-card-title">About This Data</div>
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<p class="sensing-about-text">
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Metrics are computed from WiFi Channel State Information (CSI).
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With <strong>1 ESP32</strong> you get presence detection, breathing
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With <strong><span id="sensingNodeCount">0</span> ESP32 node(s)</strong> you get presence detection, breathing
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estimation, and gross motion. Add <strong>3-4+ ESP32 nodes</strong>
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around the room for spatial resolution and limb-level tracking.
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</p>
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</div>
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<!-- Node Status -->
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<div class="sensing-card" id="sensingNodeCards">
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<div class="sensing-card-title">NODE STATUS</div>
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<div id="nodeStatusContainer"></div>
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</div>
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<!-- Extra info -->
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<div class="sensing-card">
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<div class="sensing-card-title">Details</div>
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@@ -193,6 +199,9 @@ export class SensingTab {
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// Update HUD
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this._updateHUD(data);
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// Update per-node panels
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this._updateNodePanels(data);
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}
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_onStateChange(state) {
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@@ -233,6 +242,11 @@ export class SensingTab {
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const f = data.features || {};
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const c = data.classification || {};
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// Node count
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const nodeCount = (data.nodes || []).length;
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const countEl = this.container.querySelector('#sensingNodeCount');
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if (countEl) countEl.textContent = String(nodeCount);
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// RSSI
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this._setText('sensingRssi', `${(f.mean_rssi || -80).toFixed(1)} dBm`);
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this._setText('sensingSource', data.source || '');
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@@ -309,6 +323,57 @@ export class SensingTab {
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ctx.stroke();
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}
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// ---- Per-node panels ---------------------------------------------------
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_updateNodePanels(data) {
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const container = this.container.querySelector('#nodeStatusContainer');
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if (!container) return;
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const nodeFeatures = data.node_features || [];
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if (nodeFeatures.length === 0) {
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container.textContent = '';
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const msg = document.createElement('div');
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msg.style.cssText = 'color:#888;font-size:12px;padding:8px;';
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msg.textContent = 'No nodes detected';
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container.appendChild(msg);
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return;
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}
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const NODE_COLORS = ['#00ccff', '#ff6600', '#00ff88', '#ff00cc', '#ffcc00', '#8800ff', '#00ffcc', '#ff0044'];
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container.textContent = '';
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for (const nf of nodeFeatures) {
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const color = NODE_COLORS[nf.node_id % NODE_COLORS.length];
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const statusColor = nf.stale ? '#888' : '#0f0';
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const row = document.createElement('div');
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row.style.cssText = `display:flex;align-items:center;gap:8px;padding:6px 8px;margin-bottom:4px;background:rgba(255,255,255,0.03);border-radius:6px;border-left:3px solid ${color};`;
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const idCol = document.createElement('div');
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idCol.style.minWidth = '50px';
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const nameEl = document.createElement('div');
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nameEl.style.cssText = `font-size:11px;font-weight:600;color:${color};`;
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nameEl.textContent = 'Node ' + nf.node_id;
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const statusEl = document.createElement('div');
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statusEl.style.cssText = `font-size:9px;color:${statusColor};`;
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statusEl.textContent = nf.stale ? 'STALE' : 'ACTIVE';
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idCol.appendChild(nameEl);
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idCol.appendChild(statusEl);
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const metricsCol = document.createElement('div');
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metricsCol.style.cssText = 'flex:1;font-size:10px;color:#aaa;';
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metricsCol.textContent = (nf.rssi_dbm || -80).toFixed(0) + ' dBm · var ' + (nf.features?.variance || 0).toFixed(1);
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const classCol = document.createElement('div');
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classCol.style.cssText = 'font-size:10px;font-weight:600;color:#ccc;';
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const motion = (nf.classification?.motion_level || 'absent').toUpperCase();
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const conf = ((nf.classification?.confidence || 0) * 100).toFixed(0);
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classCol.textContent = motion + ' ' + conf + '%';
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row.appendChild(idCol);
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row.appendChild(metricsCol);
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row.appendChild(classCol);
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container.appendChild(row);
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}
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}
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// ---- Resize ------------------------------------------------------------
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_setupResize() {
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