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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>
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@ -28,6 +28,7 @@
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<button class="nav-tab" data-tab="performance">Performance</button>
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<button class="nav-tab" data-tab="applications">Applications</button>
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<button class="nav-tab" data-tab="sensing">Sensing</button>
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<button class="nav-tab" data-tab="training">Training</button>
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</nav>
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<!-- Dashboard Tab -->
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@ -67,6 +68,11 @@
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<span class="status-text">-</span>
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<span class="status-message"></span>
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</div>
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<div class="component-status" data-component="datasource" id="dashboard-datasource">
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<span class="component-name">Data Source</span>
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<span class="status-text">-</span>
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<span class="status-message"></span>
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</div>
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</div>
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</div>
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@ -482,6 +488,18 @@
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<!-- Sensing Tab -->
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<section id="sensing" class="tab-content"></section>
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<!-- Training Tab -->
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<section id="training" class="tab-content">
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<div class="tab-header">
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<h2>Model Training</h2>
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<p>Record CSI data, train pose estimation models, and manage .rvf files</p>
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</div>
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<div id="training-container" style="display: flex; gap: 20px; flex-wrap: wrap;">
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<div id="training-panel-container" style="flex: 1; min-width: 400px;"></div>
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<div id="model-panel-container" style="flex: 1; min-width: 350px; max-width: 450px;"></div>
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</div>
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</section>
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</div>
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<!-- Error Toast -->
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