mirror of
https://github.com/ruvnet/RuView
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a47bb71b2290eecfae01b3c0b514f7b15f724a33
2 Commits
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65648fe4c2 |
feat(adr-186): P5/P6 + acceptance verification — dashboard honesty, HTTP tests, Accepted
Completes ADR-186 phases P5 (dashboard honesty / fallback guarantee) and P6
(tests + witness) on top of the P1–P4 reconnection, and flips the ADR to Accepted.
P5 — dashboard honesty:
- Backend (training_api): a runtime enablement gate (`RUVIEW_DISABLE_SERVER_TRAINING`)
makes the three start endpoints return a structured `{enabled:false, reason,
cli:"wifi-densepose train-room"}` HTTP 409 (never a silent success) when server
training is disabled; `/api/v1/train/status` now carries an `enabled` flag. A runtime
flag (not a Cargo feature) so `--no-default-features` builds keep training ON (resolves
§9.4). Handlers return `Response` to carry the 409.
- Frontend (TrainingPanel.js): reads `enabled` off the status payload and disables the
Start/Pretrain/LoRA buttons with a CLI tooltip when server training is off; a rejected
start tears down the optimistically-opened WS and refreshes. The enabled path was
already fully wired (opens the WS before POST, renders live epoch/loss/ETA + terminal
state) — verified.
P6 — tests & witness:
- New HTTP-level tests in a `#[cfg(test)] mod adr186_http_tests` built on a minimal
`AppStateInner::minimal()` test-state helper: a live-socket test that completes a
genuine 101 WebSocket handshake (tokio-tungstenite) and receives a real progress frame
after a POST start; a 426-not-404 route-wired check; a full POST→poll-status→`.rvf`-exists
round-trip; and the disabled-409 structured-response test. Added `tokio-tungstenite`
dev-dep (version already in the workspace lock).
- CHANGELOG updated; ADR §6 ledger + §7 acceptance criteria checked off with evidence;
Status → Accepted. README/CLAUDE have no training route table (no edit needed).
Fixed a test-only parallelism race found under `cargo test --workspace`: two
model-writing tests deleted `.rvf`s by directory-diff and could remove a file a third
test asserted existed. Each test now cleans only its own artifact (data/models is
gitignored).
Verified this session: `cargo test -p wifi-densepose-sensing-server -p wifi-densepose-train
--no-default-features` — sensing-server bin 217 passed / 0 failed, all train suites 0
failed. Full `--workspace` re-run in progress to reconfirm untouched crates.
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113011e704 |
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> |