Files
ruvnet--RuView/docs/adr
ruv dfe1ce8084 feat(dashboard): WsClient transport + ADR-092/093 status updates
## WsClient — full REST + binary WebSocket transport

New `dashboard/src/transport/WsClient.ts` implementing the same
NvsimClient interface as WasmClient. Talks to `nvsim-server`:

- REST control plane: /api/health, /api/scene, /api/config, /api/seed,
  /api/run, /api/pause, /api/reset, /api/step, /api/witness/{generate,verify},
  /api/export-proof
- Binary WebSocket data plane: /ws/stream — parses 32-frame MagFrame
  batches and forwards to the same onFrames subscribers WasmClient uses
- Transport-flip awareness: connection events emit log lines, fps signal
  is computed from incoming batches at 1-second granularity

## main.ts — transport-aware boot

- Restores `transport` + `wsUrl` preferences from IndexedDB at startup
- Watches `transport.value` and `wsUrl.value` signals; on change, tears
  down the active client and re-boots into the selected mode
- Auto-reverifies witness whenever a fresh transport boot completes —
  prevents drift in Settings drawer transport switching
- onFrames closure extracted so wireClient() can subscribe it on every
  re-boot without re-allocating runtime state

## ADR-092 status header + §11 acceptance table

Status changed from Proposed to "Implemented (2026-04-27)". §11
acceptance table now an explicit pass/fail matrix:
  8  — UI fidelity, determinism (WASM), throughput, bundle size,
        offline PWA, REPL parity, shortcut parity, witness UI
  4 ⚠ — formal axe scan, multi-browser, mode-switch byte-equivalence
        across deployed nvsim-server, full keyboard-only flow

The 4 ⚠ items require external infrastructure (axe-core CI, FF/Safari
test runs, deployed nvsim-server) or auditor sign-off; none are
blocked by the dashboard codebase.

## ADR-093 §5 iteration plan

Status changed from Proposed to "Mostly Implemented (2026-04-27)".
Iterations A through I (the originally-planned alphabet) plus three
new iterations J/K/L/M (UX usability pass, Home view, WsClient,
App Store runtime) all closed. 19 of 21 P0/P1/P2 items resolved;
remaining 2 are P2.4 (light-theme contrast color-system pass) and
P2.6 (keyboard arrow-key scene nav).

Validated end-to-end on https://ruvnet.github.io/RuView/nvsim/ —
transport-aware boot logs `transport WASM · nvsim@0.3.0 · magic=0xC51A6E70`
followed by `witness verified · determinism gate ✓ · transport=wasm`.
Switching to WS in Settings would now connect to a user-supplied
nvsim-server; the same auto-reverify fires after the flip.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-27 12:02:35 -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