mirror of
https://github.com/ruvnet/RuView
synced 2026-08-01 19:01:42 +00:00
fix: WebSocket race condition, data source indicators, auto-start pose detection (#96)
* feat: RVF training pipeline & UI integration (ADR-036) Implement full model training, management, and inference pipeline: Backend (Rust): - recording.rs: CSI recording API (start/stop/list/download/delete) - model_manager.rs: RVF model loading, LoRA profile switching, model library - training_api.rs: Training API with WebSocket progress streaming, simulated training mode with realistic loss curves, auto-RVF export on completion - main.rs: Wire new modules, recording hooks in all CSI paths, data dirs UI (new components): - ModelPanel.js: Dark-mode model library with load/unload, LoRA dropdown - TrainingPanel.js: Recording controls, training config, live Canvas charts - model.service.js: Model REST API client with events - training.service.js: Training + recording API client with WebSocket progress UI (enhancements): - LiveDemoTab: Model selector, LoRA profile switcher, A/B split view toggle, training quick-panel with 60s recording shortcut - SettingsPanel: Full dark mode conversion (issue #92), model configuration (device, threads, auto-load), training configuration (epochs, LR, patience) - PoseDetectionCanvas: 10-frame pose trail with ghost keypoints and motion trajectory lines, cyan trail toggle button - pose.service.js: Model-inference confidence thresholds UI (plumbing): - index.html: Training tab (8th tab) - app.js: Panel initialization and tab routing - style.css: ~250 lines of training/model panel dark-mode styles 191 Rust tests pass, 0 failures. Closes #92. Refs: ADR-036, #93 Co-Authored-By: claude-flow <ruv@ruv.net> * fix: real RuVector training pipeline + UI service fixes Training pipeline (training_api.rs): - Replace simulated training with real signal-based training loop - Load actual CSI data from .csi.jsonl recordings or live frame history - Extract 180 features per frame: subcarrier amplitudes, temporal variance, Goertzel frequency analysis (9 bands), motion gradients, global stats - Train calibrated linear CSI-to-pose mapping via mini-batch gradient descent with L2 regularization (ridge regression), Xavier init, cosine LR decay - Self-supervised: teacher targets from derive_pose_from_sensing() heuristics - Real validation metrics: MSE and PCK@0.2 on 80/20 train/val split - Export trained .rvf with real weights, feature normalization stats, witness - Add infer_pose_from_model() for live inference from trained model - 16 new tests covering features, training, inference, serialization UI fixes: - Fix double-URL bug in model.service.js and training.service.js (buildApiUrl was called twice — once in service, once in apiService) - Fix route paths to match Rust backend (/api/v1/train/*, /api/v1/recording/*) - Fix request body formats (session_name, nested config object) - Fix top-level await in LiveDemoTab.js blocking module graph - Dynamic imports for ModelPanel/TrainingPanel in app.js - Center nav tabs with flex-wrap for 8-tab layout Co-Authored-By: claude-flow <ruv@ruv.net> * fix: WebSocket onOpen race condition, data source indicators, auto-start pose detection - Fix WebSocket onOpen race condition in websocket.service.js where setupEventHandlers replaced onopen after socket was already open, preventing pose service from receiving connection signal - Add 4-state data source indicator (LIVE/SIMULATED/RECONNECTING/OFFLINE) across Dashboard, Sensing, and Live Demo tabs via sensing.service.js - Add hot-plug ESP32 auto-detection in sensing server (auto mode runs both UDP listener and simulation, switches on ESP32_TIMEOUT) - Auto-start pose detection when backend is reachable - Hide duplicate PoseDetectionCanvas controls when enableControls=false - Add standalone Demo button in LiveDemoTab for offline animated demo - Add data source banner and status styling Co-Authored-By: claude-flow <ruv@ruv.net>
This commit is contained in:
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@@ -355,6 +355,21 @@ pre code {
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background: var(--color-secondary-active);
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}
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.btn--accent {
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background: rgba(139, 92, 246, 0.2);
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color: #a78bfa;
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border-color: rgba(139, 92, 246, 0.3);
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}
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.btn--accent:hover {
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background: rgba(139, 92, 246, 0.3);
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border-color: rgba(139, 92, 246, 0.5);
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}
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.btn--accent:active {
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background: rgba(139, 92, 246, 0.15);
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}
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.btn--outline {
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background: transparent;
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border: 1px solid var(--color-border);
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@@ -683,7 +698,9 @@ body {
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/* Navigation tabs */
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.nav-tabs {
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display: flex;
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overflow-x: auto;
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justify-content: center;
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flex-wrap: wrap;
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gap: 2px;
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border-bottom: 1px solid var(--color-border);
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margin-bottom: var(--space-24);
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scrollbar-width: none;
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@@ -695,11 +712,11 @@ body {
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}
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.nav-tab {
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padding: var(--space-12) var(--space-20);
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padding: var(--space-12) var(--space-16);
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background: none;
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border: none;
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color: var(--color-text-secondary);
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font-size: var(--font-size-md);
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font-size: var(--font-size-sm);
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font-weight: var(--font-weight-medium);
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cursor: pointer;
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transition: all var(--duration-normal) var(--ease-standard);
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@@ -1033,9 +1050,87 @@ body {
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}
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.demo-status {
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display: flex;
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align-items: center;
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gap: 8px;
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margin-left: auto;
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}
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/* Status indicator dot */
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.status-indicator {
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display: inline-block;
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width: 10px;
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height: 10px;
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border-radius: 50%;
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background: #555;
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}
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.status-indicator.active {
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background: #00cc88;
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box-shadow: 0 0 6px #00cc88;
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}
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.status-indicator.sim {
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background: #ffa500;
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box-shadow: 0 0 6px #ffa500;
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animation: pulse 1.5s infinite;
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}
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.status-indicator.connecting {
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background: #f0ad4e;
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animation: pulse 1s infinite;
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}
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.status-indicator.error {
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background: #ff3c3c;
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}
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/* Live Demo data-source banner */
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.demo-source-banner {
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display: block;
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width: 100%;
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padding: 10px 16px;
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margin-bottom: 12px;
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border-radius: 6px;
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text-align: center;
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font-size: 13px;
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font-weight: 700;
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letter-spacing: 0.06em;
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text-transform: uppercase;
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box-sizing: border-box;
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}
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.demo-source-live {
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background: rgba(0, 204, 136, 0.15);
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border: 1px solid #00cc88;
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color: #00cc88;
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}
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.demo-source-sim {
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background: rgba(255, 165, 0, 0.15);
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border: 1px solid #ffa500;
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color: #ffa500;
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}
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.demo-source-reconnecting {
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background: rgba(255, 180, 0, 0.12);
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border: 1px solid #f0ad4e;
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color: #f0ad4e;
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animation: pulse 1.5s infinite;
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}
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.demo-source-offline {
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background: rgba(255, 60, 60, 0.12);
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border: 1px solid #ff3c3c;
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color: #ff3c3c;
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}
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.demo-source-unknown {
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background: rgba(128, 128, 128, 0.12);
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border: 1px solid #888;
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color: #888;
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}
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.demo-grid {
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display: grid;
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grid-template-columns: 1fr 1fr;
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@@ -1388,6 +1483,15 @@ canvas {
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background: rgba(var(--color-warning-rgb), 0.05);
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}
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.component-status.status-warning {
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border-color: #ffa500;
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background: rgba(255, 165, 0, 0.08);
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}
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.component-status.status-warning .status-text {
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color: #ffa500;
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}
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.component-status.status-unhealthy {
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border-color: var(--color-error);
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background: rgba(var(--color-error-rgb), 0.05);
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@@ -1806,12 +1910,24 @@ canvas {
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animation: pulse 1.5s infinite;
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}
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.sensing-source-server-sim {
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background: rgba(255, 165, 0, 0.15);
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border: 1px solid #ffa500;
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color: #ffa500;
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}
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.sensing-source-simulated {
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background: rgba(255, 60, 60, 0.12);
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border: 1px solid var(--color-error);
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color: var(--color-error);
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}
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/* Health indicator for server-simulated data */
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.health-sim {
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color: #ffa500;
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font-weight: 600;
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}
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/* Big RSSI value */
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.sensing-big-value {
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font-size: var(--font-size-3xl);
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@@ -1956,3 +2072,355 @@ canvas {
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font-family: var(--font-family-mono);
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font-weight: var(--font-weight-medium);
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}
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/* ===== Training Tab Styles ===== */
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#training .tab-header {
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margin-bottom: 20px;
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}
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#training .tab-header h2 {
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color: var(--color-text);
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margin: 0 0 8px 0;
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}
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#training .tab-header p {
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color: var(--color-text-secondary);
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margin: 0;
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font-size: var(--font-size-sm);
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}
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/* Training Panel */
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.training-panel {
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background: var(--color-surface);
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border: 1px solid var(--color-card-border);
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border-radius: var(--radius-lg);
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padding: var(--space-16);
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}
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.training-panel-header {
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display: flex;
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justify-content: space-between;
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align-items: center;
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margin-bottom: var(--space-16);
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padding-bottom: var(--space-12);
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border-bottom: 1px solid var(--color-card-border-inner);
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}
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.training-panel-header h3 {
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color: var(--color-text);
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margin: 0;
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font-size: var(--font-size-base);
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}
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.training-status-badge {
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padding: var(--space-2) 10px;
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border-radius: var(--radius-full);
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font-size: var(--font-size-xs);
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font-weight: var(--font-weight-semibold);
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text-transform: uppercase;
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}
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.training-status-idle {
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background: var(--color-secondary);
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color: var(--color-text-secondary);
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border: 1px solid var(--color-border);
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}
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.training-status-active {
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background: rgba(var(--color-error-rgb), 0.15);
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color: var(--color-error);
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border: 1px solid rgba(var(--color-error-rgb), var(--status-border-opacity));
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animation: pulse-training 2s infinite;
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}
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.training-status-completed {
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background: rgba(var(--color-success-rgb), 0.15);
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color: var(--color-success);
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border: 1px solid rgba(var(--color-success-rgb), var(--status-border-opacity));
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}
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@keyframes pulse-training {
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0%, 100% { opacity: 1; }
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50% { opacity: 0.6; }
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}
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/* Recording list */
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.recording-item {
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display: flex;
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justify-content: space-between;
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align-items: center;
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padding: 10px var(--space-12);
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background: var(--color-secondary);
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border: 1px solid var(--color-card-border-inner);
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border-radius: var(--radius-base);
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margin-bottom: var(--space-8);
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}
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.recording-item-info {
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flex: 1;
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}
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.recording-item-name {
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color: var(--color-text);
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font-size: var(--font-size-sm);
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font-weight: var(--font-weight-medium);
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}
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.recording-item-meta {
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color: var(--color-text-secondary);
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font-size: var(--font-size-xs);
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margin-top: var(--space-2);
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}
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/* Model cards */
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.model-card {
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padding: var(--space-12);
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background: var(--color-secondary);
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border: 1px solid var(--color-card-border-inner);
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border-radius: var(--radius-base);
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margin-bottom: var(--space-8);
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transition: border-color 0.2s;
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}
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.model-card:hover {
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border-color: var(--color-border);
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}
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.model-card-active {
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border-left: 3px solid var(--color-success);
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}
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.model-card-name {
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color: var(--color-text);
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font-size: var(--font-size-sm);
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font-weight: var(--font-weight-semibold);
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}
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.model-card-meta {
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color: var(--color-text-secondary);
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font-size: var(--font-size-xs);
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margin-top: var(--space-4);
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}
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.model-card-stats {
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display: flex;
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gap: var(--space-12);
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margin-top: var(--space-8);
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}
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.model-card-stat {
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font-size: var(--font-size-xs);
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}
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.model-card-stat-label {
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color: var(--color-text-secondary);
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}
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.model-card-stat-value {
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color: var(--color-text);
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font-weight: var(--font-weight-semibold);
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}
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/* Training chart */
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.training-chart-container {
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background: var(--color-secondary);
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border: 1px solid var(--color-card-border-inner);
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border-radius: var(--radius-base);
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padding: var(--space-12);
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margin: var(--space-12) 0;
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}
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.training-chart-label {
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color: var(--color-text-secondary);
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font-size: var(--font-size-xs);
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text-transform: uppercase;
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letter-spacing: 0.05em;
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margin-bottom: var(--space-8);
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}
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/* Training config form */
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.training-config-form {
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display: grid;
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grid-template-columns: 1fr 1fr;
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gap: var(--space-12);
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}
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.training-form-group {
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display: flex;
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flex-direction: column;
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gap: var(--space-4);
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}
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.training-form-label {
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color: var(--color-text-secondary);
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font-size: var(--font-size-xs);
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text-transform: uppercase;
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letter-spacing: 0.05em;
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}
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.training-form-input {
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background: var(--color-background);
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border: 1px solid var(--color-border);
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border-radius: var(--radius-base);
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color: var(--color-text);
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padding: var(--space-8) 10px;
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font-size: var(--font-size-sm);
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font-family: inherit;
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}
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.training-form-input:focus {
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outline: none;
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border-color: var(--color-primary);
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box-shadow: var(--focus-ring);
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}
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.training-form-select {
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background: var(--color-background);
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border: 1px solid var(--color-border);
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border-radius: var(--radius-base);
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color: var(--color-text);
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padding: var(--space-8) 10px;
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font-size: var(--font-size-sm);
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}
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/* Training buttons */
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.training-btn {
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padding: var(--space-8) var(--space-16);
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border-radius: var(--radius-base);
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border: 1px solid transparent;
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font-size: var(--font-size-xs);
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font-weight: var(--font-weight-semibold);
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cursor: pointer;
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transition: all 0.2s;
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}
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.training-btn-primary {
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background: rgba(var(--color-success-rgb), 0.15);
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color: var(--color-success);
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border-color: rgba(var(--color-success-rgb), var(--status-border-opacity));
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}
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.training-btn-primary:hover {
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background: rgba(var(--color-success-rgb), 0.25);
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}
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.training-btn-danger {
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background: rgba(var(--color-error-rgb), 0.15);
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color: var(--color-error);
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border-color: rgba(var(--color-error-rgb), var(--status-border-opacity));
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}
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.training-btn-danger:hover {
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background: rgba(var(--color-error-rgb), 0.25);
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}
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.training-btn-secondary {
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background: rgba(var(--color-primary-rgb), 0.15);
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color: var(--color-primary);
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border-color: rgba(var(--color-primary-rgb), var(--status-border-opacity));
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}
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.training-btn-secondary:hover {
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background: rgba(var(--color-primary-rgb), 0.25);
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}
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.training-btn-muted {
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background: var(--color-secondary);
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color: var(--color-text-secondary);
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border-color: var(--color-border);
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}
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.training-btn-muted:hover {
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background: var(--color-secondary-hover);
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||||
}
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||||
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||||
/* Progress bar */
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.training-progress-bar {
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||||
width: 100%;
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||||
height: 6px;
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||||
background: var(--color-secondary);
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||||
border-radius: var(--radius-full);
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||||
overflow: hidden;
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||||
margin: var(--space-8) 0;
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||||
}
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||||
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.training-progress-fill {
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||||
height: 100%;
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background: linear-gradient(90deg, var(--color-primary), var(--color-success));
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||||
border-radius: var(--radius-full);
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||||
transition: width 0.3s ease;
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||||
}
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||||
|
||||
/* Metrics grid */
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||||
.training-metrics-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(3, 1fr);
|
||||
gap: var(--space-8);
|
||||
margin: var(--space-12) 0;
|
||||
}
|
||||
|
||||
.training-metric {
|
||||
text-align: center;
|
||||
padding: var(--space-8);
|
||||
background: var(--color-secondary);
|
||||
border-radius: var(--radius-base);
|
||||
}
|
||||
|
||||
.training-metric-value {
|
||||
color: var(--color-text);
|
||||
font-size: var(--font-size-2xl);
|
||||
font-weight: var(--font-weight-bold);
|
||||
font-family: var(--font-family-mono);
|
||||
}
|
||||
|
||||
.training-metric-label {
|
||||
color: var(--color-text-secondary);
|
||||
font-size: var(--font-size-xs);
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.05em;
|
||||
margin-top: var(--space-2);
|
||||
}
|
||||
|
||||
/* Collapsible section */
|
||||
.training-collapsible-header {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
padding: 10px 0;
|
||||
cursor: pointer;
|
||||
color: var(--color-text);
|
||||
font-size: var(--font-size-sm);
|
||||
font-weight: var(--font-weight-semibold);
|
||||
border-bottom: 1px solid var(--color-card-border-inner);
|
||||
}
|
||||
|
||||
.training-collapsible-header:hover {
|
||||
color: var(--color-primary);
|
||||
}
|
||||
|
||||
.training-collapsible-content {
|
||||
padding: var(--space-12) 0;
|
||||
}
|
||||
|
||||
/* Pose trail toggle in toolbar */
|
||||
.pose-trail-btn {
|
||||
padding: var(--space-6) 14px;
|
||||
border-radius: var(--radius-base);
|
||||
font-size: var(--font-size-xs);
|
||||
font-weight: var(--font-weight-semibold);
|
||||
cursor: pointer;
|
||||
transition: all 0.2s;
|
||||
background: rgba(var(--color-primary-rgb), 0.1);
|
||||
color: var(--color-primary);
|
||||
border: 1px solid rgba(var(--color-primary-rgb), 0.3);
|
||||
}
|
||||
|
||||
.pose-trail-btn.active {
|
||||
background: rgba(var(--color-primary-rgb), 0.25);
|
||||
border-color: rgba(var(--color-primary-rgb), 0.6);
|
||||
}
|
||||
|
||||
.pose-trail-btn:hover {
|
||||
background: rgba(var(--color-primary-rgb), 0.2);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user