Browser sign-in was the newest security surface in this PR and had no
executable evidence behind it: browser_session.rs was 534 lines with 13 tests,
every one of which hit a private helper (sign, unsign, cookie, read_cookie,
is_live, has_scope). No test called issue, from_cookie_header, begin,
verifier_for_callback or is_configured, and no test anywhere presented a session
cookie to the gate.
+10 tests in browser_session, +6 in bearer_auth. Three mutants the adversarial
review named, each now verified dead by actually applying the mutation:
(a) delete the `state` comparison in verifier_for_callback
-> a_callback_whose_state_does_not_match_is_refused FAILED
Without it the callback accepts a code from a flow the user never
started: login CSRF, victim silently lands in the attacker's session.
(b) `session.is_live().then_some(session)` -> `Some(session)`
-> an_expired_session_cookie_does_not_authenticate FAILED
-> an_expired_browser_session_is_refused FAILED
`is_live` was already unit-tested; nothing asserted the CALLER consults
it. Same "tested in isolation, call site untested" shape as the earlier
refresh-never-invoked defect.
(c) `session.has_scope(required)` -> `true`
-> a_read_scoped_browser_session_cannot_delete_or_train FAILED
Without it any browser session could delete models and start training.
Mutant (c) initially appeared to SURVIVE. It did not — there are two
has_scope call sites and the first substitution only hit one. Mutating the
one in `session_or_unauthorized` kills the test. That accident confirmed a
separate finding: the cookie branch inside require_bearer is unreachable when
an Authorization header is present, because the OAuth step returns on both
arms. It fails closed, so it is not a hole, but "try the next credential" is
what the code reads like. Pinned by
a_bad_bearer_beats_a_good_cookie_rather_than_falling_back.
Adds two crate-internal test seams (init_secret_for_tests, test_cookie_value).
test_cookie_value signs through the same path as `issue`, so tests presenting a
cookie exercise real verification rather than a test-only bypass.
ADR-271:
- The "browser cannot obtain an OAuth token" section asserted
`grep -ril "oauth|cognitum|pkce" ui/` returns nothing. It now returns three
files, invalidated by commits in this same PR. Marked superseded, original
retained under a fold, replaced with what actually ships.
- Records the two deferred decisions with designs rather than patches: P1 the
blocking JWKS fetch on a tokio worker (whose rate limiter is bypassed on
exactly the stale path that matters, because fetched_at updates only on
success — so after the TTL every request fetches, and a Pi that loses WAN
stalls itself with no attacker present); P2 the 12-hour session from a
15-minute token, with three costed options. Capping the session to
sensing:read was considered and rejected: the dashboard genuinely issues
DELETE /api/v1/models/{id}.
- P3 records that dropping `__Host-` costs origin-integrity, not just Secure —
read_cookie takes the FIRST match and cookies are not port-scoped, so a
same-host writer can shadow a session. Forgery was never the threat that
prefix addresses.
- Documents redirect_uri's hardcoded default and the unconsumed CLI credential
as known-incomplete, per decision to leave both as-is.
ADR-272: corrected a claim that would mislead users into a 401. It stated the
Python client DOES send Authorization: Bearer on the handshake; ws.py passes no
headers at all (zero occurrences of extra_headers or Authorization), so every
published client 401s once auth is enabled. Server-side decision unchanged.
Verified: sensing-server 566 + 179 + 7 + 5 + 8 + 4 + 16 pass under CI flags,
ruview-auth 61 + 25 + 2 with --all-features, auth_wiring 7.
Co-Authored-By: Ruflo & AQE
Architecture Decision Records
Latest proposed decisions:
- ADR-264: Versioned wire protocol for RTL8720F CFR and Range-FFT reports
- ADR-263: Adopt RTL8720F 2.4 GHz FMCW radar as an optional RuView sensing platform
This folder contains 182 Architecture Decision Records (ADRs) that document every significant technical choice in the RuView / WiFi-DensePose project. (The index tables below list a curated subset per domain; see the directory listing for the full set.)
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:
-
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.
-
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.
-
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 |
| ADR-110 | ESP32-C6 firmware extension — Wi-Fi 6 / 802.15.4 / TWT / LP-core | Accepted, P1-P10 complete, firmware-side substrate closed at v0.7.0-esp32. Companion docs: WITNESS-LOG-110 (13 §A0.x entries · 99.56 % cross-board RX · 104.1 µs smoothed sync stdev · ≤100 µs target met), ADR-110-REVIEW-GUIDE (one-page reviewer tour), ADR-110-BRANCH-STATE (coordination map vs feat/adr-115-ha-mqtt-matter). Host decoders + tests: Python SyncPacketParser (10) + Rust wifi_densepose_hardware::SyncPacket (15), cross-language hex pin gates drift. |
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 |
| ADR-134 | First-Class Channel Impulse Response (CIR) Support | Proposed |
| ADR-135 | Empty-Room Baseline Calibration (per-subcarrier Welford statistics) | 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 |
| ADR-149 | AetherArena: public spatial-intelligence benchmark on Hugging Face | Proposed |
| ADR-150 | RF Foundation Encoder: pose-preserving, subject/room/device-invariant CSI embedding | Proposed |
| ADR-151 | Per-Room Calibration & Specialized Model Training (room-first → bank of small ruVector specialists) | Proposed |
| ADR-152 | WiFi-Pose SOTA 2026 Intake: geometry-conditioned calibration, external benchmarks, foundation-encoder recipe | 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 |
| ADR-115 | Home Assistant integration via MQTT auto-discovery + Matter bridge (HA-DISCO + HA-FABRIC + HA-MIND) | Accepted (MQTT track) / Proposed (Matter SDK P8b) |
| ADR-169 | adam-mode — light theme toggle for the three.js realtime demo | Proposed |
| ADR-170 | yoga-mode — yoga pose detection, classification, and scoring for the three.js realtime demo | Proposed |
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 |
| ADR-095 | rvCSI — Edge RF Sensing Runtime Platform | Proposed |
| ADR-096 | rvCSI — Crate Topology, the napi-c Shim, and the napi-rs Node Surface | Proposed |
| ADR-097 | Adopt rvCSI as RuView's primary CSI runtime (phased adoption) | Proposed |
| ADR-098 | Evaluate ruvnet/midstream for RuView's CSI / WebSocket / mesh pipeline |
Rejected |
| ADR-099 | Adopt midstream as RuView's real-time introspection + low-latency tap | Proposed |
| ADR-263 | @ruvnet/ruview npm harness — deep review + optimization strategy |
Proposed |
| ADR-264 | @ruvnet/rvagent MCP server + @ruv/ruview-cli — deep review + optimization strategy |
Proposed |
| ADR-265 | RuView npm distribution strategy — CI gate, provenance, version single-sourcing, namespace | Proposed |
Related
- DDD Domain Models — Bounded context definitions, aggregate roots, and ubiquitous language
- User Guide — Setup, API reference, and hardware instructions
- Build Guide — Building from source