feat: improve CSI quality handling and router extraction#253
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rotprods wants to merge 286 commits intoruvnet:mainfrom
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feat: improve CSI quality handling and router extraction#253rotprods wants to merge 286 commits intoruvnet:mainfrom
rotprods wants to merge 286 commits intoruvnet:mainfrom
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Add comprehensive test suite (36 tests) for the ADR-013 commodity sensing module covering all components: RingBuffer, SimulatedCollector determinism, feature extraction (time-domain stats, FFT spectral analysis, band power isolation), CUSUM change-point detection, presence/motion classification, and end-to-end CommodityBackend pipeline. Fix feature_extractor.py: add missing _trim_to_window method that caused AttributeError on the WifiSample extraction path, add post-trim sample count guard, and handle constant-signal edge case in skewness/kurtosis computation to prevent scipy RuntimeWarning. https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
…viz components Add prominent hardware requirements table at top of README documenting the three paths to real CSI data (ESP32, research NIC, commodity WiFi). Include remaining Three.js visualization components for dashboard. https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
Add viz.html as the main entry point that loads Three.js from CDN and orchestrates all visualization components (scene, body model, signal viz, environment, HUD). Add data-processor.js that transforms API WebSocket messages into geometry updates and provides demo mode with pre-recorded pose cycling when the server is unavailable. https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
…ta, add changelog - densepose.rs: forward() returns NnError when no weights loaded instead of zeros - translator.rs: forward/encode/decode require loaded weights, error otherwise - fusion.rs: remove rand_range() RNG, RSSI reads return empty with warning log - hardware_adapter.rs: ESP32/Intel/Atheros/UDP/PCAP adapters return AdapterError explaining hardware not connected instead of silent empty readings - csi_receiver.rs: PicoScenes parser returns error instead of empty amplitudes - README.md: add v2.1.0 changelog with all recent changes https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
…hmark Optimization: - Cache mean phase per frame in ring buffer for O(1) Doppler access - Sliding window (last 64 frames) instead of full history traversal - Doppler FFT: 253.9us -> 44.9us per frame (5.7x faster) - Full pipeline: 719.2us -> 254.2us per frame (2.8x faster) Trust kill switch: - ./verify: one-command proof replay with SHA-256 hash verification - Enhanced verify.py with source provenance, feature inspection, --audit - Makefile with verify/verify-verbose/verify-audit targets - New hash: 0b82bd45e836e5a99db0494cda7795832dda0bb0a88dac65a2bab0e949950ee0 Benchmark fix: - NN inference_bench.rs uses MockBackend instead of calling forward() which now correctly errors when no weights are loaded https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
Covers quick start verification, Python/Rust pipelines, Docker deployment (dev/prod/swarm), ESP32 hardware setup, WASM edge builds, ARM cross-compilation, and Three.js visualization. https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
Critical fixes: - Remove hardcoded admin/admin123 credentials from UserManager - Enable JWT signature verification (was disabled for debugging) - Redact secrets from /dev/config endpoint (was exposing os.environ) - Remove hardcoded SSH admin/admin credentials from hardware service - Add channel validation to prevent command injection in router interface Rust fixes: - Replace partial_cmp().unwrap() with .unwrap_or(Equal) to prevent NaN panics in 6 locations across core, signal, nn, mat crates - Replace .expect()/.unwrap() with safe fallbacks in utils, csi_receiver - Replace SystemTime unwrap with unwrap_or_default Dead code removed: - Duplicate imports (CORSMiddleware, os, Path, ABC, subprocess) - Unused AdaptiveRateLimit/RateLimitStorage/RedisRateLimitStorage (~110 lines) - Unused _log_authentication_event method - Unused Confidence::new_unchecked in Rust - Fix bare except: clause to except Exception: https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
…ction Comprehensive research document covering: - WiFi CSI pose estimation SOTA (CVPR 2024, ECCV 2024, IEEE IoT 2025) - ESP32 sensing benchmarks (88-97% accuracy, 18.5m through-wall) - HNSW vector search for signal fingerprinting - ONNX Runtime WASM for edge inference - NIST post-quantum cryptography (ML-DSA, SLH-DSA) for sensor mesh - WiFi 7/8 evolution (320MHz channels, 3984 CSI tones, 16x16 MIMO) - 20-year projection through 2046 with cited sources https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
…iles - install.sh: 7-step interactive installer detecting system, toolchains, WiFi hardware (interfaces, ESP32 USB, Intel CSI debug), and recommending the best build profile (verify/python/rust/browser/iot/docker/field/full) - Rust is the primary recommended runtime (810x faster than Python) - Makefile: 15+ targets including make install, make check, make build-rust, make build-wasm, make bench, make run-api, make run-viz - README: Updated installation section with Rust-primary ordering, removed mock testing references, added v2.2.0 changelog entry https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
ADR-001 (WiFi-Mat disaster response pipeline): - Add EnsembleClassifier with weighted voting (breathing/heartbeat/movement) - Wire EventStore into DisasterResponse with domain event emission - Add scan control API endpoints (push CSI, scan control, pipeline status, domain events) - Implement START triage protocol (Immediate/Delayed/Minor/Deceased/Unknown) - Critical patterns (Agonal/Apnea) bypass confidence threshold for safety - Add 6 deterministic integration tests with synthetic sinusoidal CSI data ADR-009 (WASM signal pipeline): - Add pushCsiData() with zero-crossing breathing rate extraction - Add getPipelineConfig() for runtime configuration access - Update TypeScript type definitions for new WASM exports ADR-012 (ESP32 CSI sensor mesh): - Implement CsiFrame, CsiMetadata, SubcarrierData types - Implement Esp32CsiParser with binary frame parsing (magic/header/IQ pairs) - Add parse_stream() with automatic resync on corruption - Add ParseError enum with descriptive error variants - 12 unit tests covering valid frames, corruption, multi-frame streams All 275 workspace tests pass. No mocks, no stubs, no placeholders. https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
Add six research-grade signal processing algorithms to wifi-densepose-signal: - Conjugate Multiplication: CFO/SFO cancellation via antenna ratio (SpotFi) - Hampel Filter: Robust median/MAD outlier detection (50% contamination resistant) - Fresnel Zone Model: Physics-based breathing detection from chest displacement - CSI Spectrogram: STFT time-frequency generation with 4 window functions - Subcarrier Selection: Variance-ratio ranking for top-K motion-sensitive subcarriers - Body Velocity Profile: Domain-independent Doppler velocity mapping (Widar 3.0) All 313 workspace tests pass, 0 failures. Updated README with new capabilities. https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
…uantum) Covers Wi-Fi CSI, mmWave/UWB radar, through-wall RF, rPPG, quantum radar, and quantum biomedical instrumentation with cross-modality relevance to WiFi-DensePose ADR-014 algorithms. https://claude.ai/code/session_01Ki7pvEZtJDvqJkmyn6B714
Records the decision to use MM-Fi as primary training dataset and XRF55 as secondary, with a teacher-student pipeline for generating DensePose UV pseudo-labels from paired RGB frames. https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
Corrects MM-Fi antenna config (1 TX / 3 RX not 3x3), adds Wi-Pose as secondary dataset (exact 3x3 hardware match), updates subcarrier compatibility table, promotes status to Accepted, adds proof verification protocol and Rust implementation plan. https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
Co-Authored-By: claude-flow <ruv@ruv.net>
Co-Authored-By: claude-flow <ruv@ruv.net>
The ambient light was initialized with intensity * 3.0 but the slider and preset callbacks set raw value without the multiplier, making the setting appear to do nothing. Co-Authored-By: claude-flow <ruv@ruv.net>
…ightness slider The ambient light color 0x446688 (dark blue-gray) was too dim to produce visible brightness changes. Changed to 0xccccdd (bright neutral) with 5x multiplier. Bumped SETTINGS_VERSION to force fresh defaults. Co-Authored-By: claude-flow <ruv@ruv.net>
… Kconfig) Co-Authored-By: claude-flow <ruv@ruv.net>
…ction, OTA auth (ADR-050) Sprint 1 security fixes from quality engineering analysis (issue ruvnet#170): - Replace XOR-fold fake HMAC with real HMAC-SHA256 (hmac + sha2 crates) in secure_tdm.rs - Add path traversal sanitization on DELETE /api/v1/models/:id and /api/v1/recording/:id - Default bind address changed from 0.0.0.0 to 127.0.0.1 (configurable via --bind-addr / SENSING_BIND_ADDR) - Add PSK authentication to ESP32 OTA firmware upload endpoint (ota_update.c) - Flip WASM signature verification to default-on (CONFIG_WASM_SKIP_SIGNATURE opt-out vs opt-in) - Add 6 new security tests: HMAC key/message sensitivity, determinism, wrong-key rejection, bit-flip detection, enforcing mode - Add clap env feature for environment variable configuration All 106 hardware crate tests pass. Sensing server compiles clean. Closes ruvnet#170 Co-Authored-By: claude-flow <ruv@ruv.net>
…net#172) fix: ADR-050 security hardening — HMAC, path traversal, OTA auth
… (ADR-049) - Add create_collector() factory function that auto-detects platform and never raises - Add LinuxWifiCollector.is_available() classmethod for probe-without-exception - Refactor ws_server.py to use create_collector(), removing ~30 lines of duplicated platform detection - Add 10 unit tests covering all platform paths and edge cases - Add ADR-049 documenting the cross-platform detection and fallback chain Docker, WSL, and headless users now get SimulatedCollector automatically with a clear WARNING log instead of a RuntimeError crash. Closes ruvnet#148 Closes ruvnet#155 Co-Authored-By: claude-flow <ruv@ruv.net>
feat: cross-platform WiFi collector factory (ADR-049)
update intro
updated intro
…ign (ruvnet#198) * docs: add ADR-052 Tauri desktop frontend with DDD bounded contexts Proposes a Tauri v2 desktop application as the primary UI for RuView, replacing 6+ CLI tools with a single cross-platform app. Covers hardware discovery, firmware flashing (espflash), OTA updates, WASM module management, sensing server control, and live visualization. Includes DDD domain model with 6 bounded contexts, aggregate definitions, domain events, and anti-corruption layers for ESP32 firmware APIs. Closes ruvnet#177 Co-Authored-By: claude-flow <ruv@ruv.net> * docs: add persistent node registry, OTA safety gate, plugin architecture to ADR-052 Incorporates engineering review feedback: - Persistent node registry (~/.ruview/nodes.db) — discovery becomes reconciliation - BatchOtaSession aggregate with TdmSafe rolling update strategy - Plugin architecture section — control plane extensibility trajectory - Renumbered sections for new content (9-12 added, impl phases now section 13) Co-Authored-By: claude-flow <ruv@ruv.net> * docs: add ADR-053 UI design system — Foundation Book + Unity-inspired interface - Dark professional theme with rUv purple accent (#7c3aed) - Foundation Book typographic hierarchy (heading-xl through body-sm) - Unity Editor-inspired panel layout (sidebar + list/detail split + inspector) - 6 component specs: NodeCard, FlashProgress, MeshGraph, PropertyGrid, StatusBadge, LogViewer - Color system with status indicators (online/warning/error/info) - 4px base grid spacing system - Branding: splash screen, status bar, about dialog Refs ruvnet#177 Co-Authored-By: claude-flow <ruv@ruv.net> * fix: rewrite ADR-053 UI design system with practical terminology Replace sci-fi themed language (Asimov Foundation references, Prime Radiant, Encyclopedia Galactica, Terminus, Seldon Crisis) with clear, practical terminology that engineers and operators can immediately understand. Co-Authored-By: claude-flow <ruv@ruv.net> * fix: specify Three.js for mesh topology visualization in ADR-053 Use Three.js for the mesh topology view, consistent with existing visualization patterns in ui/observatory/js/ and ui/components/. Includes implementation details: MeshPhongMaterial for node status, BufferGeometry for dynamic updates, OrbitControls, raycasting. Co-Authored-By: claude-flow <ruv@ruv.net> * feat: add Tauri v2 desktop crate with React frontend (Phase 1 skeleton) Rust backend (wifi-densepose-desktop): - 14 Tauri commands across 6 groups: discovery, flash, OTA, WASM, server, provision - Domain types: Node, NodeRegistry, FlashSession, OtaSession, BatchOtaSession - AppState with DiscoveryState and ServerState behind Mutex - Workspace Cargo.toml updated with new member - cargo check passes cleanly React/TypeScript frontend: - TypeScript types matching Rust domain model - Hooks: useNodes (discovery polling), useServer (start/stop/status) - Components: StatusBadge, NodeCard, Sidebar - Pages: Dashboard, Nodes (table + expandable details), FlashFirmware (3-step wizard with progress bar), Settings (server/security/discovery) - App.tsx with sidebar navigation routing - Vite 6 + React 18 + @tauri-apps/api v2 Implements ADR-052 Phase 1 skeleton. All commands return stub data. Co-Authored-By: claude-flow <ruv@ruv.net> * feat: implement ADR-053 design system across all frontend components Create design-system.css with all ADR-053 tokens: - CSS custom properties: colors, spacing, fonts, panel dimensions - Typography scale classes (heading-xl through data-lg) - Form control and button base styles - Custom scrollbar, selection highlight, animations Update all components to use design system tokens: - Replace hardcoded colors with var(--bg-surface), var(--border), etc. - Replace generic monospace with var(--font-mono) (JetBrains Mono) - Replace system font stack with var(--font-sans) (Inter) - Replace spacing values with var(--space-N) tokens - StatusBadge: use var(--status-online/warning/error/info) - Dashboard: add stat cards with data-lg class, use StatusBadge - FlashFirmware: pulse animation on progress bar during writes - Settings: default bind_address 127.0.0.1 (matches ADR-050) Add status bar footer with "Powered by rUv", node count, server status. Load Inter + JetBrains Mono from Google Fonts in index.html. Update ADR-053 status from Proposed to Accepted. Co-Authored-By: claude-flow <ruv@ruv.net> * fix: add missing @tauri-apps/plugin-dialog and plugin-shell dependencies Required for firmware file picker in FlashFirmware page and shell sidecar support. Fixes Vite build failure. Co-Authored-By: claude-flow <ruv@ruv.net> * fix: add defensive optional chaining for node.chip access Rust DiscoveredNode stub doesn't include chip field yet. Use optional chaining (node.chip?.toUpperCase()) to prevent TypeError at runtime. Co-Authored-By: claude-flow <ruv@ruv.net> * feat: add OTA, Edge Modules, Sensing, Mesh View pages with enhanced design system Implement all 4 remaining pages (OtaUpdate, EdgeModules, Sensing, MeshView) and enhance the design system with glassmorphism cards, count-up animations, page transitions, gradient accents, live status bar, and consistent status dot glows across the UI. Co-Authored-By: claude-flow <ruv@ruv.net> * docs: add desktop crate README and link from main README Co-Authored-By: claude-flow <ruv@ruv.net> * docs: add download/run instructions to desktop README Co-Authored-By: claude-flow <ruv@ruv.net>
…stubs * Add temporal graph evolution & RuVector integration research GOAP Agent 8 output: 1,528-line SOTA research document covering temporal graph models (TGN, JODIE, DyRep), RuVector graph memory design, mincut trajectory tracking with Kalman filtering, event detection pipelines, compressed temporal storage, cross-room transition graphs, and a 5-phase integration roadmap. Part of RF Topological Sensing research swarm (10 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add transformer architectures for graph sensing research GOAP Agent 4 output: 896-line SOTA document covering Graph Transformers (Graphormer, SAN, GPS, TokenGT), Temporal Graph Transformers (TGN, TGAT, DyRep), ViT for RF spectrograms, transformer-based mincut prediction, positional encoding for RF graphs, foundation models for RF sensing, and efficient edge deployment with INT8 quantization. Part of RF Topological Sensing research swarm (10 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add attention mechanisms for RF sensing research GOAP Agent 3 output: 1,110-line document covering GAT for RF graphs, self-attention for CSI sequences, cross-attention multi-link fusion, attention-weighted differentiable mincut, spatial node attention, antenna-level subcarrier attention, and efficient attention variants (linear, sparse, LSH, S4/Mamba). 8 ASCII architecture diagrams. Part of RF Topological Sensing research swarm (10 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add sublinear mincut algorithms research GOAP Agent 5 output: 698-line document covering classical mincut complexity, sublinear approximation (sampling, sparsifiers), dynamic mincut with lazy recomputation hybrid, streaming sketch algorithms, Benczur-Karger sparsification, local partitioning (PageRank-guided cuts), randomized methods reliability analysis, and Rust implementation with const-generic RfGraph, zero-alloc Stoer-Wagner, SIMD batch updates. Part of RF Topological Sensing research swarm (10 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add CSI edge weight computation research GOAP Agent 2 output: ~700-line document covering CSI feature extraction, coherence metrics (cross-correlation, mutual information, phasor coherence), multipath stability scoring (MUSIC, ESPRIT, ISTA), temporal windowing (EMA, Welford, Kalman), noise robustness (phase noise, AGC, clock drift), edge weight normalization, and implementation architecture showing 32KB memory for 120 edges within ESP32-S3 capability. Part of RF Topological Sensing research swarm (10 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add contrastive learning for RF coherence research GOAP Agent 7 output: 1,226-line document covering SimCLR/MoCo/BYOL for CSI, AETHER-Topo dual-head extension, coherence boundary detection with multi-scale analysis, delta-driven updates (2-12x efficiency), self-supervised pre-training protocol, triplet networks for 5-state edge classification, and MERIDIAN cross-environment transfer with EWC continual learning. Part of RF Topological Sensing research swarm (12 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add resolution and spatial granularity analysis research GOAP Agent 9 output: 1,383-line document covering Fresnel zone analysis, node density vs resolution (16-node/5m room → 30-60cm), Cramer-Rao lower bounds with Fisher Information Matrix, graph cut resolution theory, multi-frequency enhancement (6cm coherent dual-band limit), RF tomography comparison, experimental validation protocols, and resolution scaling laws (8.8cm theoretical limit). Part of RF Topological Sensing research swarm (12 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add RF graph theory and minimum cut foundations research GOAP Agent 1 output: Graph-theoretic foundations covering max-flow/min-cut for RF (Ford-Fulkerson, Stoer-Wagner, Karger), RF as dynamic graph with CSI coherence weights, topological change detection via Fiedler vector and Cheeger inequality, dynamic graph algorithms, comparison to classical RF sensing, formal mathematical framework, and 9 open research questions. Part of RF Topological Sensing research swarm (12 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add ESP32 mesh hardware constraints research GOAP Agent 6 output: ESP32 CSI capabilities (52/114 subcarriers), 16-node mesh topology with 120 edges, TDM synchronized sensing (3ms slots), computational budget (Stoer-Wagner uses 0.07% of one core), channel hopping, power analysis (0.44W/node), dual-core firmware architecture, and edge vs server computing with 100x data reduction on-device. Part of RF Topological Sensing research swarm (12 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add system architecture and prototype design research GOAP Agent 10 output: End-to-end architecture with pipeline diagrams, existing crate integration mapping, new rf_topology module design (DDD aggregate roots), 100ms latency budget breakdown, 3-phase prototype plan (4-node POC → 16-node room → 72-node multi-room), benchmark design with 8 metrics, ADR-044 draft, and Rust trait definitions (EdgeWeightComputer, TopologyGraph, MinCutSolver, BoundaryInterpolator). Part of RF Topological Sensing research swarm (12 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add quantum sensing and quantum biomedical research documents Agent 11: Quantum-level sensors (729 lines) — NV centers, SQUIDs, Rydberg atoms, quantum illumination, quantum graph theory (walks, spectral, QAOA), hybrid classical-quantum architecture, quantum ML (VQC, kernels, reservoir computing), NISQ applications (D-Wave, VQE), hardware roadmap. Agent 12: Quantum biomedical sensing (827 lines) — whole body biomagnetic mapping, neural field imaging without electrodes, circulation sensing, cellular EM signaling, non-contact diagnostics, coherence-based diagnostics (disease as coherence breakdown), neural interfaces, multimodal observatory, room-scale ambient health monitoring, graph-based biomedical analysis. Part of RF Topological Sensing research swarm (12 agents). https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add research index synthesizing all 12 documents (14,322 lines) Master index for RF Topological Sensing research compendium covering: graph theory foundations, CSI edge weights, attention mechanisms, transformers, sublinear algorithms, ESP32 hardware, contrastive learning, temporal graphs, resolution analysis, system architecture, quantum sensors, and quantum biomedical sensing. Includes key findings, proposed ADRs (044, 045), and 5-phase implementation roadmap. https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add SOTA neural decoding landscape and 10 application domains research - Doc 21: Comprehensive SOTA map (2023-2026) of brain sensors, decoders, and visualization systems with RuVector/mincut positioning analysis - Doc 22: Ten application domains for brain state observatory including disease detection, BCI, cognitive monitoring, mental health diagnostics, neurofeedback, dream reconstruction, cognitive research, HCI, wearables, and brain network digital twins with strategic roadmap https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add NV diamond neural magnetometry research document (13/22) Comprehensive 600+ line document covering NV center physics, neural magnetic field sources, sensor architecture, SQUID comparison, signal processing pipeline, RuVector integration, and development roadmap. https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add ruv-neural workspace Cargo.toml with 12 crate definitions Workspace structure for the rUv Neural brain topology analysis system. 12 mix-and-match crates with shared dependencies including RuVector integration, petgraph, rustfft, and WASM/ESP32 support. https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add ruv-neural crate ecosystem — 12 mix-and-match crates (WIP) Initial implementation of the rUv Neural brain topology analysis system: - ruv-neural-core: Core types, traits, errors, RVF format (compiles) - ruv-neural-sensor: NV diamond, OPM, EEG sensor interfaces (in progress) - ruv-neural-signal: DSP, filtering, spectral, connectivity (in progress) - ruv-neural-graph: Brain connectivity graph construction (in progress) - ruv-neural-mincut: Dynamic minimum cut topology analysis (in progress) - ruv-neural-embed: RuVector graph embeddings (in progress) - ruv-neural-memory: Persistent neural state memory + HNSW (compiles) - ruv-neural-decoder: Cognitive state classification + BCI (in progress) - ruv-neural-esp32: ESP32 edge sensor integration (compiles) - ruv-neural-wasm: WebAssembly browser bindings (in progress) - ruv-neural-viz: Visualization + ASCII rendering (in progress) - ruv-neural-cli: CLI tool (in progress) Agents still writing remaining modules. Next: fix compilation, tests, push. https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Fix ruv-neural crate compilation: all 12 crates build and 1200+ tests pass - Fix node2vec.rs type inference error (Vec<_> → Vec<Vec<f64>>) - Fix artifact.rs with full filter-based detection implementations - Fix signal crate ConnectivityMetric re-export and trait method names - Fix embed crate EmbeddingGenerator trait implementations - Complete spectral, topology, and node2vec embedders with tests - Complete preprocessing pipeline with sequential stage processing - All workspace crates compile cleanly, 0 test failures https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * Add ruv-neural-cli README https://claude.ai/code/session_01DGUAowNScGVp88bK2eiuRv * fix: convert desktop icons from RGB to RGBA for Tauri build Tauri's generate_context!() macro requires RGBA PNG icons. All 5 icon files (32x32.png, 128x128.png, 128x128@2x.png, icon.icns, icon.ico) were RGB-only, causing a proc macro panic on Linux builds. Fixes ruvnet#200 Co-Authored-By: claude-flow <ruv@ruv.net> * Add Subcarrier Manifold and Vitals Oracle modules for 3D visualizations - Implemented Subcarrier Manifold to visualize amplitude data as a 3D surface with height and age attributes. - Created Vitals Oracle to represent vital signs using toroidal rings and particle trails, incorporating breathing and heart rate dynamics. - Both modules utilize Three.js for rendering and include custom shaders for visual effects. * feat: complete ruv-neural implementation — physics models, security, witness verification Replace all stubs/mocks with production physics-based signal models: - NV Diamond: ODMR Lorentzian dip, 1/f pink noise (Voss-McCartney), brain oscillations - OPM: SERF-mode, 50/60Hz powerline harmonics, full cross-talk compensation via Gaussian elimination with partial pivoting - EEG: 5 frequency bands, eye blink artifacts (Fp1/Fp2), muscle artifacts, impedance-based thermal noise floor - ESP32 ADC: ring-buffer reader with calibration signal generator, i16 clamp Security hardening (SEC-001 through SEC-005): - RVF bounded allocation (16MB metadata, 256MB payload) - sample_rate validation (>0, finite) - Signal NaN/Inf rejection - ADC resolution_bits overflow clamp - HNSW HashSet visited tracking + bounds checks Performance optimizations (PERF-001 through PERF-005): - 67x fewer FFTs via pre-computed analytic signals - VecDeque O(1) eviction in memory store - Thread-local FFT planner caching - BrainGraph::validate() for edge/weight integrity - Eigenvalue convergence early termination Ed25519 witness verification system: - 41 capability attestations across all 12 crates - SHA-256 digest + Ed25519 signature - CLI commands: `witness --output` and `witness --verify` README: ethics warning, hardware parts list (AliExpress), assembly instructions Co-Authored-By: claude-flow <ruv@ruv.net> * docs: add crates.io badges and install instructions to ruv-neural README Add version badges linking to each published crate on crates.io, cargo add instructions, and crate search link in the Crate Map table. Co-Authored-By: claude-flow <ruv@ruv.net> --------- Co-authored-by: Claude <noreply@anthropic.com>
- Add desktop-release.yml workflow for automated Windows/macOS builds - Fix frontendDist path in tauri.conf.json for production builds - Builds macOS (arm64 + x64) and Windows (MSI + NSIS) on native runners - Creates GitHub Release with all artifacts on tag push or manual dispatch To trigger a release: git tag desktop-v0.3.0 && git push origin desktop-v0.3.0 Or use workflow_dispatch from GitHub Actions UI Co-Authored-By: claude-flow <ruv@ruv.net>
Co-Authored-By: claude-flow <ruv@ruv.net>
…uvnet#212) * fix(desktop): implement save_settings and get_settings commands Fixes ruvnet#206 - Settings can now be saved and loaded in Desktop v0.3.0 - Add commands/settings.rs with get_settings and save_settings Tauri commands - Settings persisted to app data directory as settings.json - Supports all AppSettings fields: ports, bind address, OTA PSK, discovery, theme - Add unit tests for serialization and defaults Settings are stored at: - macOS: ~/Library/Application Support/net.ruv.ruview/settings.json - Windows: %APPDATA%/net.ruv.ruview/settings.json - Linux: ~/.config/net.ruv.ruview/settings.json Co-Authored-By: claude-flow <ruv@ruv.net> * feat(desktop): RuView Desktop v0.4.0 - Full ADR-054 Implementation This release completes all 14 Tauri commands specified in ADR-054, making the desktop app fully production-ready for ESP32 node management. ## New Features ### Discovery Module - Real mDNS discovery (_ruview._udp.local) - UDP broadcast probe on port 5006 - Serial port enumeration with ESP32 chip detection ### Flash Module - Full espflash CLI integration - Real-time progress streaming via Tauri events - SHA-256 firmware verification - Support for ESP32, S2, S3, C3, C6 chips ### OTA Module - HTTP multipart firmware upload - HMAC-SHA256 signature with PSK authentication - Sequential and parallel batch update strategies - Reboot confirmation polling ### WASM Module - 67 edge modules across 14 categories - App-store style module library with ratings/downloads - Full module lifecycle (upload/start/stop/unload) - RVF format deployment paths ### Server Module - Child process spawn with config - Graceful SIGTERM + SIGKILL fallback - Memory/CPU monitoring via sysinfo ### Provision Module - NVS binary serial protocol - Read/write/erase operations - Mesh config generation for multi-node setup ## Security - Input validation (IP, port, path) - Binary validation (ESP/WASM magic bytes) - PSK authentication for OTA ## Breaking Changes None - backwards compatible with v0.3.0 Co-Authored-By: claude-flow <ruv@ruv.net> --------- Co-authored-by: Reuven <cohen@ruv-mac-mini.local>
…g option - Update default version to 0.4.0 - Add attach_to_existing input to add assets to existing releases - Allows attaching Windows builds to v0.4.0-desktop release Co-Authored-By: claude-flow <ruv@ruv.net>
- Switch from rustls-tls to native-tls for better Windows support - Fix Cargo.toml formatting (remove duplicate sections) Co-Authored-By: claude-flow <ruv@ruv.net>
- Add navigation to Quick Actions (Flash, OTA, WASM buttons now work) - Add error feedback for Scan Network failures - Create version.ts as single source of truth for version - Switch reqwest from rustls-tls to native-tls for Windows compatibility - Version bump to 0.4.1 Co-Authored-By: claude-flow <ruv@ruv.net>
… data - Bundle sensing-server binary in app resources (bin/sensing-server) - Add find_server_binary() for multi-path binary discovery - Connect Sensing page to real WebSocket endpoint (ws://localhost:8765/ws/sensing) - Add DataSource type and source config for data source selection - Default to simulate mode when no ESP32 hardware present - Add ADR-055: Integrated Sensing Server architecture - Add ADR-056: Complete RuView Desktop Capabilities Reference Closes integration of sensing server as single-package distribution. Co-Authored-By: claude-flow <ruv@ruv.net>
Fixes ruvnet#215: provision.py now correctly imports from esp_idf_nvs_partition_gen package (the pip-installable version) before falling back to legacy import. Fixes ruvnet#216: Added sdkconfig.defaults.template with custom partition table configuration for 8MB flash boards. Copy to sdkconfig.defaults before build: cp sdkconfig.defaults.template sdkconfig.defaults Changes: - firmware/esp32-csi-node/provision.py: Try esp_idf_nvs_partition_gen first - scripts/provision.py: Same import fix - firmware/esp32-csi-node/sdkconfig.defaults.template: 8MB flash config with 2MB OTA partitions, compiler size optimization, and CSI enabled Co-Authored-By: claude-flow <ruv@ruv.net>
## Changes - Auto-scan serial ports on Discovery page load (not just Serial tab) - Show USB device hint when no network nodes found but USB devices detected - Add "Flash →" button in Serial Ports table for quick navigation - Fix server stop: proper SIGTERM/SIGKILL with process group handling - Add data source selector on Sensing page (simulate/auto/wifi/esp32) - Fix log viewer scroll (use containerRef.scrollTop instead of scrollIntoView) - Add fallback serial port scanning for macOS when tokio_serial fails ## Fixes - ESP32 USB devices now visible immediately on Discovery page - Server processes properly terminated on stop - Log viewer no longer scrolls entire page Co-Authored-By: claude-flow <ruv@ruv.net>
Co-Authored-By: claude-flow <ruv@ruv.net>
## New Features - WiFi Configuration Modal: Configure ESP32 WiFi credentials directly from the desktop app - Serial port WiFi commands: Sends wifi_config/wifi/set ssid commands via serial - Improved feedback UI with status indicators (Success/Commands Sent/Error) ## API Improvements - New Tauri command: configure_esp32_wifi(port, ssid, password) - 21 new integration tests covering all API functionality - ESP32 VID/PID detection for CP210x, CH340, FTDI, and native USB ## UI Enhancements - WiFi button in Serial Ports table for ESP32-compatible devices - Modal with SSID/password inputs and clear status feedback - "Done" button after configuration with "Try Again" option ## Testing - 18 unit tests + 21 integration tests = 39 total tests passing - Tests cover: discovery, settings, server, flash, OTA, provision, WASM, state, domain models Co-Authored-By: claude-flow <ruv@ruv.net>
- NVS config binaries for ESP32 WiFi provisioning - macOS Tauri schema - package-lock.json update - Claude Flow session state Co-Authored-By: claude-flow <ruv@ruv.net>
The sensing-server binary was referenced in tauri.conf.json but doesn't exist in CI environment. Removed the resources section to fix the build. Co-Authored-By: claude-flow <ruv@ruv.net>
The Docker image uses CSI_SOURCE env var to select the data source, not command-line arguments appended after the image name. Fixed: - ESP32 mode examples now use -e CSI_SOURCE=esp32 - Training mode example now uses --entrypoint override - Added CSI_SOURCE value table in Docker section Fixes ruvnet#226 Co-Authored-By: claude-flow <ruv@ruv.net>
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Includes CSI quality validation/metrics improvements and related extractor/interface updates.