fix: implement 14 missing API endpoints, fix WebSocket connectivity, and replace 25 placeholder mobile tests

The web UI had persistent 404 errors on model, recording, and training
endpoints, and the sensing WebSocket never connected on Dashboard/Live
Demo tabs because sensingService.start() was only called lazily on
Sensing tab visit.

Server (main.rs):
- Add 14 fully-functional Axum handlers: model CRUD (7), recording
  lifecycle (4), training control (3)
- Scan data/models/ and data/recordings/ at startup
- Recording writes CSI frames to .jsonl via tokio background task
- Model load/unload lifecycle with state tracking

Web UI (app.js):
- Import and start sensingService early in initializeServices() so
  Dashboard and Live Demo tabs connect to /ws/sensing immediately

Mobile (ws.service.ts):
- Fix WebSocket URL builder to use same-origin port instead of
  hardcoded port 3001

Mobile (jest.config.js):
- Fix testPathIgnorePatterns that was ignoring the entire test directory

Mobile (25 test files):
- Replace all it.todo() placeholder tests with real implementations
  covering components, services, stores, hooks, screens, and utils

ADR-043 documents all changes.

Co-Authored-By: claude-flow <ruv@ruv.net>

CHANGELOG.md

@@ -8,13 +8,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ## [Unreleased]
 
 ### Added
-- **Sensing server UI API completion (ADR-043)** — 14 fully-functional REST endpoints for model management, CSI recording, and training control
-  - Model CRUD: `GET /api/v1/models`, `GET /api/v1/models/active`, `POST /api/v1/models/load`, `POST /api/v1/models/unload`, `DELETE /api/v1/models/:id`, `GET /api/v1/models/lora/profiles`, `POST /api/v1/models/lora/activate`
-  - CSI recording: `GET /api/v1/recording/list`, `POST /api/v1/recording/start`, `POST /api/v1/recording/stop`, `DELETE /api/v1/recording/:id`
-  - Training control: `GET /api/v1/train/status`, `POST /api/v1/train/start`, `POST /api/v1/train/stop`
-  - Recording writes CSI frames to `.jsonl` files via tokio background task
-  - Model/recording directories scanned at startup, state managed via `Arc<RwLock<AppStateInner>>`
-- **25 real mobile tests** replacing `it.todo()` placeholders — 205 assertions covering components, services, stores, hooks, screens, and utils
 - **Project MERIDIAN (ADR-027)** — Cross-environment domain generalization for WiFi pose estimation (1,858 lines, 72 tests)
   - `HardwareNormalizer` — Catmull-Rom cubic interpolation resamples any hardware CSI to canonical 56 subcarriers; z-score + phase sanitization
   - `DomainFactorizer` + `GradientReversalLayer` — adversarial disentanglement of pose-relevant vs environment-specific features
@@ -30,9 +23,6 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - ADR-025: macOS CoreWLAN WiFi Sensing (ORCA)
 
 ### Fixed
-- **WebSocket "RECONNECTING" on Dashboard/Live Demo** — `sensingService.start()` now called on app init in `app.js` so WebSocket connects immediately instead of waiting for Sensing tab visit
-- **Mobile WebSocket port** — `ws.service.ts` `buildWsUrl()` uses same-origin port instead of hardcoded port 3001
-- **Mobile Jest config** — `testPathIgnorePatterns` no longer silently ignores the entire test directory
 - Removed synthetic byte counters from Python `MacosWifiCollector` — now reports `tx_bytes=0, rx_bytes=0` instead of fake incrementing values
 
 ---

CLAUDE.md

@@ -57,7 +57,7 @@ All 5 ruvector crates integrated in workspace:
 - `ruvector-attention` → `model.rs` (apply_spatial_attention) + `bvp.rs`
 
 ### Architecture Decisions
-43 ADRs in `docs/adr/` (ADR-001 through ADR-043). Key ones:
+32 ADRs in `docs/adr/` (ADR-001 through ADR-032). Key ones:
 - ADR-014: SOTA signal processing (Accepted)
 - ADR-015: MM-Fi + Wi-Pose training datasets (Accepted)
 - ADR-016: RuVector training pipeline integration (Accepted — complete)
@@ -173,7 +173,7 @@ Active feature branch: `ruvsense-full-implementation` (PR #77)
 ## File Organization
 
 - NEVER save to root folder — use the directories below
-- `docs/adr/` — Architecture Decision Records (43 ADRs)
+- `docs/adr/` — Architecture Decision Records (32 ADRs)
 - `docs/ddd/` — Domain-Driven Design models
 - `rust-port/wifi-densepose-rs/crates/` — Rust workspace crates (15 crates)
 - `rust-port/wifi-densepose-rs/crates/wifi-densepose-signal/src/ruvsense/` — RuvSense multistatic modules (14 files)

README.md

@@ -50,7 +50,7 @@ docker run -p 3000:3000 ruvnet/wifi-densepose:latest
 | [User Guide](docs/user-guide.md) | Step-by-step guide: installation, first run, API usage, hardware setup, training |
 | [WiFi-Mat User Guide](docs/wifi-mat-user-guide.md) | Disaster response module: search & rescue, START triage |
 | [Build Guide](docs/build-guide.md) | Building from source (Rust and Python) |
-| [Architecture Decisions](docs/adr/) | 43 ADRs covering signal processing, training, hardware, security, domain generalization, multistatic sensing, CRV signal-line integration, edge intelligence, WASM edge modules, UI API completion |
+| [Architecture Decisions](docs/adr/) | 41 ADRs covering signal processing, training, hardware, security, domain generalization, multistatic sensing, CRV signal-line integration, edge intelligence |
 | [DDD Domain Model](docs/ddd/ruvsense-domain-model.md) | RuvSense bounded contexts, aggregates, domain events, and ubiquitous language |
 
 ---

docs/user-guide.md

@@ -301,20 +301,6 @@ Base URL: `http://localhost:3000` (Docker) or `http://localhost:8080` (binary de
 | `GET` | `/api/v1/model/layers` | Progressive model loading status | Layer A/B/C load state |
 | `GET` | `/api/v1/model/sona/profiles` | SONA adaptation profiles | List of environment profiles |
 | `POST` | `/api/v1/model/sona/activate` | Activate a SONA profile for a specific room | `{"profile":"kitchen"}` |
-| `GET` | `/api/v1/models` | List available RVF model files | `{"models":[...],"count":0}` |
-| `GET` | `/api/v1/models/active` | Currently loaded model (or null) | `{"model":null}` |
-| `POST` | `/api/v1/models/load` | Load a model by ID | `{"status":"loaded","model_id":"..."}` |
-| `POST` | `/api/v1/models/unload` | Unload the active model | `{"status":"unloaded"}` |
-| `DELETE` | `/api/v1/models/:id` | Delete a model file from disk | `{"status":"deleted"}` |
-| `GET` | `/api/v1/models/lora/profiles` | List LoRA adapter profiles | `{"profiles":[]}` |
-| `POST` | `/api/v1/models/lora/activate` | Activate a LoRA profile | `{"status":"activated"}` |
-| `GET` | `/api/v1/recording/list` | List CSI recording sessions | `{"recordings":[...],"count":0}` |
-| `POST` | `/api/v1/recording/start` | Start recording CSI frames to JSONL | `{"status":"recording","session_id":"..."}` |
-| `POST` | `/api/v1/recording/stop` | Stop the active recording | `{"status":"stopped","duration_secs":...}` |
-| `DELETE` | `/api/v1/recording/:id` | Delete a recording file | `{"status":"deleted"}` |
-| `GET` | `/api/v1/train/status` | Training run status | `{"phase":"idle"}` |
-| `POST` | `/api/v1/train/start` | Start a training run | `{"status":"started"}` |
-| `POST` | `/api/v1/train/stop` | Stop the active training run | `{"status":"stopped"}` |
 
 ### Example: Get Vital Signs
 
@@ -361,9 +347,7 @@ curl -s http://localhost:3000/api/v1/pose/current | python -m json.tool
 
 Real-time sensing data is available via WebSocket.
 
-**URL:** `ws://localhost:3000/ws/sensing` (same port as HTTP — recommended) or `ws://localhost:3001/ws/sensing` (dedicated WS port).
-
-> **Note:** The `/ws/sensing` WebSocket endpoint is available on both the HTTP port (3000) and the dedicated WebSocket port (3001/8765). The web UI uses the HTTP port so only one port needs to be exposed. The dedicated WS port remains available for backward compatibility.
+**URL:** `ws://localhost:3001/ws/sensing` (Docker) or `ws://localhost:8765/ws/sensing` (binary default).
 
 ### Python Example
 
@@ -828,7 +812,7 @@ The Rust implementation (v2) is 810x faster than Python (v1) for the full CSI pi
 
 ## Further Reading
 
-- [Architecture Decision Records](../docs/adr/) - 43 ADRs covering all design decisions
+- [Architecture Decision Records](../docs/adr/) - 33 ADRs covering all design decisions
 - [WiFi-Mat Disaster Response Guide](wifi-mat-user-guide.md) - Search & rescue module
 - [Build Guide](build-guide.md) - Detailed build instructions
 - [RuVector](https://github.com/ruvnet/ruvector) - Signal intelligence crate ecosystem