Files
ruvnet--RuView/docs/adr
ruv 39ec05edcb feat(dashboard): nvsim Vite+Lit dashboard with WASM transport + App Store [ADR-092]
End-to-end implementation of the operator dashboard for the nvsim
NV-diamond magnetometer simulator. Vite 5 + TypeScript strict + Lit 3,
~93 KB gzipped JS budget, runs the *real* nvsim Rust crate compiled to
wasm32-unknown-unknown inside a dedicated Web Worker.

Validated end-to-end with `npx agent-browser`:
- WASM module boots, build version + magic 0xC51A_6E70 reported
- Reference witness verifies byte-identical to Proof::EXPECTED_WITNESS_HEX
  cc8de9b01b0ff5bd97a6c17848a3f156c174ea7589d0888164a441584ec593b4
- Pipeline runs at ~1.88 kHz on x86_64 dev hardware (4500x over Cortex-A53)
- Zero browser console errors; only Lit dev-mode warning (expected)

## nvsim crate (additive)
- New `wasm` feature flag with wasm-bindgen 0.2 / serde-wasm-bindgen 0.6
- src/wasm.rs: WasmPipeline wrapper + referenceSceneJson +
  expectedReferenceWitnessHex + referenceWitness + hexWitness exports
- crate-type = ["cdylib", "rlib"] so native + wasm both build
- rand = { default-features = false } drops getrandom OS-entropy path,
  preserving the crate's WASM-ready posture
- Native: 50/50 tests still pass, witness unchanged

## dashboard/ (new package)
- Vite 5 + TypeScript strict, Lit 3 elements, signals-based store
- 12 Lit components mirroring the mockup zones (rail, topbar, sidebar,
  scene SVG with draggable sources + NV crystal, inspector tabs
  Signal/Frame/Witness, console with REPL + filter tabs, settings
  drawer, modals, ⌘K command palette, debug HUD, toast, app-store)
- IndexedDB persistence (theme, density, motion, app activations)
- WasmClient → Web Worker → wasm-pack-built nvsim WASM module
- NvsimClient TS interface — same shape covers future WsClient transport
- MagFrame parser (60-byte LE layout matching nvsim::frame)

## App Store (ADR-092 §14a — added during impl)
- Catalog of all 65 wifi-densepose-wasm-edge modules + nvsim
- 13 categories with event-ID-range labels
- Per-app metadata: id/name/category/crate/summary/events/budget/
  status/adr/tags
- Fuzzy search, category + status filters, IndexedDB-backed activation
- ADR-092 §14a documents the registry contract and per-app schema

## Build pipeline
- wasm-pack build crates/nvsim --target web outputs to
  dashboard/public/nvsim-pkg/ (60 KB pkg, 162 KB unoptimized .wasm)
- npm run build → 93 KB gzip JS, well under 300 KB budget
- ts.config strict, npx tsc --noEmit clean
- Vite worker correctly loads WASM via dynamic import resolving
  against worker origin

## E2E validation
- agent-browser open → 4-zone grid renders correctly in dark theme
- Run button → live B-vector trace, |B| readout updates, FPS counter
- App Store → all 66 apps listed with toggles, fuzzy search filters
  to "Ghost hunter" on "ghost" query
- Witness verify → green check, console logs "determinism gate ✓"
- Console errors: zero (only expected Lit dev-mode warning)

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-26 19:22:04 -04:00
..

Architecture Decision Records

This folder contains 44 Architecture Decision Records (ADRs) that document every significant technical choice in the RuView / WiFi-DensePose project.

Why ADRs?

Building a system that turns WiFi signals into human pose estimation involves hundreds of non-obvious decisions: which signal processing algorithms to use, how to bridge ESP32 firmware to a Rust pipeline, whether to run inference on-device or on a server, how to handle multi-person separation with limited subcarriers.

ADRs capture the context, options considered, decision made, and consequences for each of these choices. They serve three purposes:

  1. Institutional memory — Six months from now, anyone (human or AI) can read why we chose IIR bandpass filters over FIR for vital sign extraction, not just see the code.

  2. AI-assisted development — When an AI agent works on this codebase, ADRs give it the constraints and rationale it needs to make changes that align with the existing architecture. Without them, AI-generated code tends to drift — reinventing patterns that already exist, contradicting earlier decisions, or optimizing for the wrong tradeoffs.

  3. Review checkpoints — Each ADR is a reviewable artifact. When a proposed change touches the architecture, the ADR forces the author to articulate tradeoffs before writing code, not after.

ADRs and Domain-Driven Design

The project uses Domain-Driven Design (DDD) to organize code into bounded contexts — each with its own language, types, and responsibilities. ADRs and DDD work together:

  • ADRs define boundaries: ADR-029 (RuvSense) established multistatic sensing as a separate bounded context from single-node CSI. ADR-042 (CHCI) defined a new aggregate root for coherent channel imaging.
  • DDD models define the language: The RuvSense domain model defines terms like "coherence gate", "dwell time", and "TDM slot" that ADRs reference precisely.
  • Together they prevent drift: An AI agent reading ADR-039 knows that edge processing tiers are configured via NVS keys, not compile-time flags — because the ADR says so. The DDD model tells it which aggregate owns that configuration.

How ADRs are structured

Each ADR follows a consistent format:

  • Context — What problem or gap prompted this decision
  • Decision — What we chose to do and how
  • Consequences — What improved, what got harder, and what risks remain
  • References — Related ADRs, papers, and code paths

Statuses: Proposed (under discussion), Accepted (approved and/or implemented), Superseded (replaced by a later ADR).


ADR Index

Hardware and firmware

ADR Title Status
ADR-012 ESP32 CSI Sensor Mesh for Distributed Sensing Accepted (partial)
ADR-018 ESP32 Development Implementation Path Proposed
ADR-028 ESP32 Capability Audit and Witness Record Accepted
ADR-029 RuvSense Multistatic Sensing Mode (TDM, channel hopping) Proposed
ADR-032 Multistatic Mesh Security Hardening Accepted
ADR-039 ESP32-S3 Edge Intelligence Pipeline (on-device vitals) Accepted (hardware-validated)
ADR-040 WASM Programmable Sensing (Tier 3) Accepted
ADR-041 WASM Module Collection (65 edge modules) Accepted (hardware-validated)
ADR-044 Provisioning Tool Enhancements Proposed

Signal processing and sensing

ADR Title Status
ADR-013 Feature-Level Sensing on Commodity Gear Accepted
ADR-014 SOTA Signal Processing Algorithms Accepted
ADR-021 Vital Sign Detection (breathing, heart rate) Partial
ADR-030 Persistent Field Model and Drift Detection Proposed
ADR-033 CRV Signal Line Sensing Integration Proposed
ADR-037 Multi-Person Pose Detection from Single ESP32 Proposed
ADR-042 Coherent Human Channel Imaging (beyond CSI) Proposed

Machine learning and training

ADR Title Status
ADR-005 SONA Self-Learning for Pose Estimation Partial
ADR-006 GNN-Enhanced CSI Pattern Recognition Partial
ADR-015 Public Dataset Strategy (MM-Fi, Wi-Pose) Accepted
ADR-016 RuVector Training Pipeline Integration Accepted
ADR-017 RuVector Signal + MAT Integration Proposed
ADR-020 Migrate AI Inference to Rust (ONNX Runtime) Accepted
ADR-023 Trained DensePose Model with RuVector Pipeline Proposed
ADR-024 Project AETHER: Contrastive CSI Embeddings Required
ADR-027 Project MERIDIAN: Cross-Environment Generalization Proposed

Platform and UI

ADR Title Status
ADR-019 Sensing-Only UI with Gaussian Splats Accepted
ADR-022 Windows WiFi Enhanced Fidelity (multi-BSSID) Partial
ADR-025 macOS CoreWLAN WiFi Sensing Proposed
ADR-031 RuView Sensing-First RF Mode Proposed
ADR-034 Expo React Native Mobile App Accepted
ADR-035 Live Sensing UI Accuracy and Data Transparency Accepted
ADR-036 Training Pipeline UI Integration Proposed
ADR-043 Sensing Server UI API Completion (14 endpoints) Accepted

Architecture and infrastructure

ADR Title Status
ADR-001 WiFi-Mat Disaster Detection Architecture Accepted
ADR-002 RuVector RVF Integration Strategy Superseded
ADR-003 RVF Cognitive Containers for CSI Proposed
ADR-004 HNSW Vector Search for Fingerprinting Partial
ADR-007 Post-Quantum Cryptography for Sensing Proposed
ADR-008 Distributed Consensus for Multi-AP Proposed
ADR-009 RVF WASM Runtime for Edge Deployment Proposed
ADR-010 Witness Chains for Audit Trail Integrity Proposed
ADR-011 Proof-of-Reality and Mock Elimination Proposed
ADR-026 Survivor Track Lifecycle (MAT crate) Accepted
ADR-038 Sublinear GOAP for Roadmap Optimization Proposed

  • DDD Domain Models — Bounded context definitions, aggregate roots, and ubiquitous language
  • User Guide — Setup, API reference, and hardware instructions
  • Build Guide — Building from source