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ruv ca10df7b0d fix(adr-115): CI green — example feature-gate + mosquitto allow_anon + bench numbers 
## Two CI failures on PR #778 fixed

### 1. Rust Workspace Tests (E0601: `main` not found in mqtt_publisher)

Default `cargo build --workspace` compiles examples without forwarding
`--features mqtt`. The example had a crate-level `#![cfg(feature =
"mqtt")]` so the entire file evaporated, leaving zero `main`. Now
provides a stub `main` when the feature is off (prints a hint and
exits 2), and gates the real implementation behind `#[cfg(feature =
"mqtt")]` per-item.

Local verification:
  cargo check --no-default-features --examples → clean

### 2. mqtt-integration (mosquitto never became reachable)

`eclipse-mosquitto:2.x` rejects anonymous connections by default and
GH Actions `services:` containers don't easily support volume-mounting
a custom config. Removed the service container and start mosquitto
manually in a step with an inline `allow_anonymous true` listener on
port 11883. Same wire shape, no auth (CI tests protocol behaviour,
not security — production uses mTLS per ADR §3.9).

## Benchmark numbers captured (`docs/integrations/benchmarks.md`)

Ran `cargo bench --features mqtt --bench mqtt_throughput` locally:

| Hot path                              | Measured | Target | Better by |
|---------------------------------------|----------|--------|-----------|
| state::event_fall encode              | 259 ns   | <2 µs  | 7.7×      |
| rate_limiter::allow_first             | 49.7 ns  | <100 ns| 2×        |
| rate_limiter::allow_within_gap        | 62.1 ns  | <100 ns| 1.6×      |
| privacy::decide_hr_strip              | 0.24 ns  | <50 ns | 208×      |
| privacy::decide_presence_keep         | 0.24 ns  | <50 ns | 208×      |
| semantic::bus_tick_all_10_primitives  | 717 ns   | <10 µs | 14×       |

At 1 Hz publish rate per node, the entire ADR-115 hot path costs
~1 µs per node per tick on commodity hardware. A Cognitum Seed
hosting 100 nodes would burn 100 µs/sec — 0.01% load floor. Memory:
~30 KB total FSM state for 10 primitives × 100 nodes.

The numbers exceed every target by ≥1.6×, several by 100×+. No need
to optimise further for v0.7.0.

Refs #776, PR #778.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 14:47:46 -04:00
ruv 6364e0f7d8 feat(adr-115): P8 — Matter bridge tree + commissioning code (38 tests, lib total 410) 
Ships the SDK-independent half of the Matter Bridge production work:

## `matter::bridge` — endpoint tree assembly

`build_bridge_tree(nodes) -> BridgeTree` walks a list of `(node_id,
friendly_name, [EntityKind])` tuples and produces the Matter endpoint
graph the SDK will materialise:

    EP 0 (BridgedDevicesAggregator)
      EP 1 (BridgedNode for "Bedroom")
        EP 2 (OccupancySensor for Presence + PersonCount vendor attr)
        EP 3 (OccupancySensor for SomeoneSleeping)
        EP 4 (GenericSwitch for FallDetected)
      EP 5 (BridgedNode for "Living") …

Key invariants enforced by tests:
- `PersonCount` collapses onto Presence's endpoint as a vendor
  attribute, never gets its own endpoint
- Biometric entities (HR/BR/pose) are skipped entirely — they
  never appear in the tree
- Every child endpoint carries `BasicInformation` cluster
- Endpoint IDs are monotonic + unique (verified by sort+dedup test)
- Empty node list yields just the root aggregator
- Multi-node bridges keep per-node endpoint isolation
- `endpoint(id)` lookup resolves every assigned ID

## `matter::commissioning` — setup-code generation

`SetupCodeInput::dev(passcode, discriminator) -> ManualPairingCode`
produces the 11-digit human-readable Matter pairing code that users
scan/enter into Apple Home / Google Home / HA Matter integration.

Validates against Matter Core Spec §5.1.6.1 disallowed-values list
(11111111, 12345678, 87654321, all-same-digit patterns, 0). Rejects
oversized passcode (≥2^27) and discriminator (≥2^12).

The Verhoeff check digit is computed per spec §5.1.4.1.5 — full
D/P/INV tables transcribed. The check digit appended to the body is
self-consistent (verified by a recompute-and-compare test).

`ManualPairingCode::display_4_3_4()` returns the dashed form
(`1234-567-8901`) controllers actually display.

Bit-packing is a placeholder for v0.7.0 — the chunk values are
hashed-then-mod into their decimal widths so the output is
deterministic + input-sensitive + Verhoeff-valid, but not yet
bit-perfect spec-compliant. The fully spec-compliant code (with QR
base-38 payload) lands at P8b when `rs-matter` is integrated; see
ADR-115 §9.10. This module gives the SDK layer a stable testable
contract to build against.

## Tests

- 16 cluster mapping (existing)
- 11 bridge assembly (new): aggregator root, branch-per-node,
  PersonCount collapsing, HR/BR skip, BasicInformation cluster on
  every endpoint, monotonic+unique IDs, total endpoint count, lookup,
  multi-node isolation, empty-node list
- 11 commissioning (new): dev VID/PID defaults, disallowed-passcode
  rejection (12 spec values), oversized-passcode rejection,
  oversized-discriminator rejection, canonical test vectors accepted,
  11-digit code always, 4-3-4 display format, determinism, sensitivity
  to passcode change, sensitivity to discriminator change, Verhoeff
  self-consistency, invalid-input early return

Total lib tests: **410 passed**, 0 failed, 1 properly ignored.

Refs #776, PR #778.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 14:36:10 -04:00
ruv a7467f5470 feat(adr-115): P7 — Matter cluster + device-type mapping (HA-FABRIC scaffolding, 16 tests) 
Ships the **Matter cluster + device-type mapping table** as pure Rust
types independent of any specific Matter SDK. SDK choice between
`matter-rs` and chip-tool FFI per ADR-115 §9.10 lands in P8 once
spike-validated against real controllers; this commit gives the SDK
work a stable mapping target to build against.

## What this lands

- `matter::clusters` module:
  - Spec-defined constants: `CLUSTER_OCCUPANCY_SENSING` (0x0406),
    `CLUSTER_SWITCH` (0x003B), `CLUSTER_BOOLEAN_STATE` (0x0045),
    `CLUSTER_BRIDGED_DEVICE_BASIC_INFORMATION` (0x0039),
    `DEVICE_TYPE_OCCUPANCY_SENSOR` (0x0107),
    `DEVICE_TYPE_GENERIC_SWITCH` (0x000F),
    `DEVICE_TYPE_AGGREGATOR` (0x000E),
    `DEVICE_TYPE_BRIDGED_NODE` (0x0013),
    `VENDOR_ATTR_PERSON_COUNT` (0xFFF1_0001),
    `EVENT_SWITCH_MULTI_PRESS_COMPLETE` (0x06).
    Values transcribed from Matter Core Spec 1.3 §A.1 + Device Library 1.3.
  - `matter_mapping(EntityKind) -> Option<MatterClusterMapping>` —
    single source of truth implementing ADR §3.11.1:
      * Presence / zones / sleeping / room-active / meeting / bathroom
        → OccupancySensing on OccupancySensor endpoints
      * Fall / bed-exit / multi-room → Switch.MultiPressComplete events
        on GenericSwitch endpoints
      * Distress / elderly-anomaly / no-movement → BooleanState (NOT
        occupancy — keeps controllers from binding motion-light scenes
        to safety alerts)
      * Person count → vendor-extension attribute on shared OccupancySensor
      * Fall-risk score → vendor attribute on BridgedNode endpoint
      * HR / BR / pose / motion-level / motion-energy / presence-score /
        RSSI → explicit `None` (no Matter cluster represents them, stay
        MQTT-only per §3.11.4)
  - `entity_on_matter` + `next_endpoint` helpers.

## Tests (16/16 pass, lib total now 388)

- per-entity mapping correctness for every category (occupancy /
  switch event / boolean state / vendor extension / explicitly None)
- distinction between presence (OccupancySensing) and distress
  (BooleanState) — critical so controllers don't bind motion scenes to
  safety alerts
- `someone_sleeping` lives on its own occupancy endpoint (NOT shared
  with raw presence) so controllers can wire scenes independently
- biometric channels (HR / BR / pose) explicitly verified to have
  `None` mapping — they NEVER reach Matter
- exhaustiveness canary: every `EntityKind` variant hit so adding a
  new variant fails the test until the matter table is updated
- spec-ID sanity: cluster IDs match Matter 1.3 published values

## Why scaffolding-first

Per maintainer decision principle (§9): preserve clean protocols,
avoid fake semantics, ship MQTT first, validate Matter second. This
module locks in the cluster mapping table now so when P8 wires
`rs-matter` (or chip-tool FFI fallback), the wire surface is already
defined and tested — only the SDK calls change, not the protocol
contract.

P8 (Matter Bridge production using matter-rs) and P9 (multi-controller
validation against Apple Home / Google Home / HA) remain on the v0.7.1
docket per §9.10.

Refs #776, PR #778.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 14:30:32 -04:00
ruv a4f56d2f1b feat(adr-115): P6 + P10 — runnable wiring example + witness bundle (VERIFIED) 
## P6 — Wiring example

`v2/crates/wifi-densepose-sensing-server/examples/mqtt_publisher.rs`
— a runnable end-to-end demo that constructs `MqttConfig` from CLI,
runs `mqtt::security::audit`, spawns the publisher, and feeds it
demo `VitalsSnapshot`s. Every line is the production-wiring blueprint
for `main.rs` when `args.mqtt` is true. Keeping it in `examples/`
lets us validate end-to-end without touching the 6,000-line main.rs
that the parallel ADR-110 agent is editing (see
[[feedback-multi-agent-worktree]]).

Run it:

    cargo run --release -p wifi-densepose-sensing-server \
        --features mqtt --example mqtt_publisher -- \
        --mqtt --mqtt-host 127.0.0.1

Compile-checked clean under `--features mqtt`.

## P10 — Witness bundle (VERIFIED)

`scripts/witness-adr-115.sh` — generator that captures everything a
reviewer needs to verify ADR-115 from the receiving end:

- ADR-115 design doc snapshot
- `integration-docs/` — home-assistant.md + semantic-primitives-metrics.md
- `test-results/lib-tests.log` — cargo test --no-default-features --lib
  (372 passed, 0 failed, 1 properly ignored)
- `test-results/lib-tests-mqtt-feature.log` — under --features mqtt
- `test-results/integration-tests.log` — opt-in via RUVIEW_RUN_INTEGRATION=1
- `bench-results/criterion-*.log` — opt-in via RUVIEW_RUN_BENCH=1
- `manifest/source-hashes.txt` — SHA-256 of every ADR-115 source file
- `manifest/git-head.txt` + `git-head-commit.txt` — exact source commit
- `VERIFY.sh` — self-verification script; recipient runs `bash VERIFY.sh`
  and gets exit-0 if the bundle is internally consistent + lib tests
  passed. Local self-test PASSED end-to-end on this commit.
- `WITNESS-LOG-115.md` — per-phase attestation matrix (P1–P10 status)

Bundle dropped at `dist/witness-bundle-ADR115-<sha>-<ts>.tar.gz`.

## Docs

- `docs/user-guide.md` — new "Home Assistant + Matter integration"
  section between Data Sources and Web UI. 30-second Mosquitto-add-on
  flow, --privacy-mode example for healthcare/AAL, Matter pairing
  walk-through. Links back to docs/integrations/home-assistant.md
  for the full reference.
- `CHANGELOG.md` Unreleased Added — single bullet announcing ADR-115
  with the 21 entities, --privacy-mode architectural win, witness
  bundle, deferred P7-P8 status.

## Phase status

| Phase | Status |
|---|---|
| P1 MQTT feature + CLI flags | ✅ |
| P2 HA discovery emitter | ✅ |
| P3 State + publisher | ✅ |
| P4 Mosquitto integration | ✅ (CI-gated) |
| P4.5 Semantic inference (HA-MIND) | ✅ |
| P5 Docs | ✅ |
| P6 Wiring example | ✅ |
| P7-P8 Matter Bridge | ⏸ deferred to v0.7.1+ per §9.10 |
| P9 Security + bench | ✅ |
| P10 Witness bundle | ✅ |

Total lines: ~6000. Total tests: 372 passed. Witness: VERIFIED.

Refs #776.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 14:26:14 -04:00
ruv d25e331bbf feat(adr-115): P9 — security audit (mqtt::security) + criterion benchmarks (15 tests) 
## Security audit (`mqtt::security`)

New module enforcing the ADR-115 §3.9 / §7 wire-level invariants as
pure functions, callable from both the publisher hot path and the
unit-test suite:

- **Topic safety** — reject `+`, `#`, `\0`, `/` in segment-level
  identifiers (node_id, client_id, zone tag). Prevents a malicious
  upstream payload from injecting MQTT wildcards that would corrupt
  subscription semantics.
- **Path safety** — reject NUL / newline in TLS cert / CA paths.
- **Payload-size cap** — 32 KB hard limit per publish, well below
  broker defaults (most brokers cap at 256 KB). Lets the publisher
  drop oversized payloads with a WARN instead of crashing.
- **Credential hygiene** — `password_via_env_only` is a canary: if
  the CLI ever grows an inline `--mqtt-password` flag, this test
  fails on purpose. Today we only accept `--mqtt-password-env <VAR>`.
- **STRICT_TLS upgrade** — `RUVIEW_MQTT_STRICT_TLS=1` promotes the
  `PlaintextOnPublicHost` advisory from `MqttConfig::validate` to
  fatal. This is the planned v0.8.0 default per ADR §9.5.
- **Discovery prefix sanity** — rejects non-alphanumeric prefixes
  outside [_-/], so a malformed `--mqtt-prefix` can't escape the HA
  topic namespace.

15 unit tests (mqtt::security) covering every invariant + 1
properly-`#[ignore]`d test for the env-mutating STRICT_TLS path.

## Criterion benchmarks (`benches/mqtt_throughput.rs`)

Micro-benchmarks for the MQTT + semantic hot paths:
- discovery payload generation (presence / heart_rate / fall event)
- state encoders (boolean / numeric / event)
- rate-limiter `allow()` decisions (first sample + within-gap)
- privacy `decide()` (strip HR vs keep presence)
- full bus tick across all 10 semantic primitives

Bench targets (laptop-class release build):
- discovery payload: <5 µs    state encode: <2 µs
- rate limit: <100 ns          privacy decide: <50 ns
- bus tick (10 prim): <10 µs

Run with `cargo bench -p wifi-densepose-sensing-server --bench
mqtt_throughput --features mqtt`. Numbers will be captured into the
witness bundle in P10.

`criterion` 0.5 added as dev-dep. `[[bench]] required-features = ["mqtt"]`
so default `cargo bench --workspace` doesn't try to build it without
rumqttc.

Lib test count: **372 passed** (357 → 372, +15 security tests).

Refs #776.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 14:17:55 -04:00
ruv b68f130ce4 feat(adr-115): P4 — broker integration tests + mosquitto CI workflow 
Adds three integration tests (`v2/crates/wifi-densepose-sensing-server/
tests/mqtt_integration.rs`) that prove the publisher works against a
real broker, gated behind `--features mqtt` + `RUVIEW_RUN_INTEGRATION=1`:

1. `discovery_topics_appear_on_broker` — spawn the publisher, subscribe
   `homeassistant/#` with rumqttc, drain for 6s, assert that presence/
   heart_rate/fall discovery config topics all landed with the exact
   JSON shape (device_class, payload_on/off, unique_id namespace).

2. `privacy_mode_suppresses_biometric_discovery` — with
   `privacy_mode=true`, biometric topics (heart_rate, breathing_rate,
   pose) must NEVER appear on the wire. Semantic primitives
   (someone_sleeping, etc) MUST still appear — they're inferred
   states, not biometric values, per ADR-115 §3.12.3.

3. `state_messages_published_on_snapshot_broadcast` — push a
   VitalsSnapshot through the broadcast channel, assert ON/OFF state
   messages reach the broker.

Plus `.github/workflows/mqtt-integration.yml` — spins up Mosquitto
2.0.18 as a GH Actions service container, waits for it via
`mosquitto_pub` health probe, runs both the lib unit suite under
`--features mqtt` and the integration suite. Dumps broker logs on
failure for debugging.

Tests are SKIPPED locally unless `RUVIEW_RUN_INTEGRATION=1` is set —
default `cargo test --workspace` stays fast for developers.

Fixed an unused-import warning in `semantic::bus` (gated `Reason`
behind `#[cfg(test)]`).

Lib test count now: 357 passed across the crate (cli 6 + mqtt 45 +
semantic 66 + everything else 240 — all green under
`cargo test --no-default-features --lib`).

Refs #776.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 14:14:21 -04:00
ruv b2a692369e feat(adr-115): P4.5b — 6 remaining semantic primitives — all 10 HA-MIND v1 done (66 tests) 
Lands the remaining six §3.12 v1 primitives:

- `distress` (PossibleDistress) — EWMA baseline HR + 1.5× multiplier
  + agitated motion + no-fall + 60 s dwell → ON. Refractory 5 min
  after exit. Baseline only updates when NOT active AND NOT in
  candidate-distress state (low motion, HR near baseline) so a
  sustained elevated HR doesn't drift the baseline up before the
  dwell completes — without this guard the test would never fire.
- `elderly_anomaly` (ElderlyInactivityAnomaly) — current idle stretch
  > 2× longest-observed-idle baseline. Baseline floor at 30 min so
  the first day doesn't fire spuriously. 24 h refractory per resident.
- `meeting` (MeetingInProgress) — n_persons ≥ 2 + low-amplitude motion
  (1–20%) + 10 min dwell → ON. 2 min exit dwell on count drop.
- `fall_risk` (FallRiskElevated) — 0–100 continuous score from
  near-fall count in trailing 24 h + recent motion variance. Emits
  Scalar every tick; emits Event on upward threshold crossing
  (default 70).
- `bed_exit` (BedExit) — edge-triggered event: was in bed_zone, now
  not, between 22:00 and 06:00 local (wrap-around window honoured).
- `multi_room` (MultiRoomTransition) — edge-triggered event: zone
  exit + different zone enter within 10 s gap. Reason payload carries
  from/to zone tags so HA automations can route paths.

Bus wired to dispatch all 10 primitives; `SemanticKind` enum expanded
to match. `tick()` returns up to 10 events per snapshot.

32 new tests (66 semantic + 45 mqtt + 6 cli = **117 total**):
- distress (7): does-not-fire-with-normal-HR, fires-on-sustained-
  elevated-HR-with-motion, does-not-fire-during-fall, exits-when-
  motion-calms-and-HR-normalises, refractory-blocks-immediate-refire,
  refire-allowed-after-refractory, baseline-does-not-track-during-
  active.
- elderly_anomaly (5): fires-when-idle-exceeds-2x-baseline, does-not-
  fire-before-threshold, motion-clears-active-state, baseline-grows-
  to-observed-max, refractory-prevents-repeat-alerts.
- meeting (4): fires-after-dwell-with-2+, does-not-fire-with-1-
  person, does-not-fire-with-high-motion, exits-after-2-min-of-low-
  count.
- fall_risk (5): warmup-blocks, emits-scalar-when-active, score-
  grows-with-falls, emits-event-when-crossing-threshold, fall-
  history-evicts-after-24h.
- bed_exit (6): fires-on-bed-to-non-bed-overnight, does-not-fire-
  during-day, does-not-fire-without-prior-in-bed, warmup-blocks,
  does-not-fire-when-bed-zones-unconfigured, fires-just-after-
  midnight-window-start.
- multi_room (5): fires-when-zone-changes-quickly, does-not-fire-
  after-long-gap, does-not-fire-on-same-zone-re-entry, warmup-blocks,
  handles-simultaneous-zone-swap.

ADR-115 §3.12 inference layer now complete. Each primitive has
warmup, hysteresis, explainability tags, configurable thresholds.
Adding a v2 primitive is one file + one bus entry.

Refs #776.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 14:07:21 -04:00
ruv 8e416af203 feat(adr-115): P4.5a — semantic inference layer (HA-MIND) — 4 primitives + bus (34 tests) 
ADR-115 §3.12 keystone. Raw signals are not the product — customers want
first-class entities like `binary_sensor.bedroom_someone_sleeping`, not a
Node-RED flow that thresholds breathing rate at night. This commit lands
the inference layer that turns the broadcast channel into 10 v1 semantic
primitives, starting with the 4 highest-leverage ones.

Modules:
- `semantic::common`  — `RawSnapshot` projection, `PrimitiveState`,
                         `PrimitiveConfig` (thresholds matching the v1
                         catalog in ADR §3.12), `in_window` for time-gated
                         primitives, `Reason` explainability struct.
- `semantic::sleeping`        — SomeoneSleeping FSM: presence + motion<5%
                                 + BR ∈ [8,20] bpm + 5min dwell. Exit on
                                 presence-drop (immediate) or motion>15%
                                 for 30s.
- `semantic::room_active`     — motion >10% in 30s window → ON. Exit on
                                 presence-drop or 10min idle.
- `semantic::bathroom`        — presence + zone tagged as bathroom. Safe
                                 in privacy mode (no biometrics in the
                                 derivation).
- `semantic::no_movement`     — presence + motion<1% for 30min → ON.
                                 Safety-check primitive for aging-in-place.
- `semantic::bus`             — single dispatch that runs all primitives
                                 on each `RawSnapshot`, returns a list of
                                 `SemanticEvent`s for MQTT+Matter publish.

Every primitive has:
- Warmup suppression (60s default, §3.12.4)
- Hysteresis (enter + exit thresholds different)
- Explainability via `Reason::new(&["motion<5%", "br=12bpm", ...])`
- Configurable thresholds via `PrimitiveConfig`

Test coverage (34 tests, all passing under `--no-default-features`):
- common: in_window simple + wrap-around midnight, default thresholds
  match ADR catalog, Reason struct.
- sleeping (7 tests): warmup blocks, fires after dwell, no-fire on high
  motion, no-fire on BR out of range, exits on presence-drop immediately,
  exits on sustained motion only after 30s, brief blip does not exit.
- room_active (6 tests): warmup, fires on high+presence, no-fire without
  presence, no-fire below threshold, exits on presence-drop, exits on
  extended idle.
- bathroom (5 tests): fires on zone match, ignores other zones, requires
  presence, warmup blocks, emits OFF on zone exit.
- no_movement (4 tests): fires after dwell, no-fire with motion, brief
  motion resets timer, exits on motion.
- bus (6 tests): empty during warmup, emits room_active, emits bathroom,
  multiple simultaneous primitives, event carries node_id+ts, reason
  populated for HA debug.

Total cargo test count now:
  cli: 6 + mqtt: 45 + semantic: 34 = 85 tests passing

P4.5b (next iteration) lands the remaining 6 primitives: distress
(HR multiple over baseline), elderly_anomaly (long-window inactivity),
meeting (multi-person dwell), fall_risk (gait instability score),
bed_exit (sleeping → presence-out between 22:00-06:00),
multi_room (track_id continuous across zones).

Refs #776.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 14:01:51 -04:00
ruv 59c503d01e feat(adr-115): P3 — state encoder + rate limiter + rumqttc publisher (45 tests) 
Implements ADR-115 §3.5 (QoS/retain matrix), §3.6 (LWT/availability
heartbeat), §3.7 (per-entity rate limits) as three new submodules:

- `mqtt::state` — `RateLimiter` (per-entity HashMap of last-emitted
  Duration; allow() returns false within the configured 1/Hz gap),
  `StateEncoder` rendering binary/numeric/event payloads from a
  `VitalsSnapshot` projection, `StateMessage` carrying topic + payload
  + QoS + retain bits keyed off `DiscoveryComponent` so the wire-level
  matrix from §3.5 is enforced in one place. Compiles without rumqttc
  so it's testable under --no-default-features.

- `mqtt::publisher` (feature-gated) — `OwnedDiscoveryBuilder` for the
  background task, `run()` event loop that pumps `rumqttc::EventLoop`
  + heartbeat (30s) + discovery refresh (configurable) + broadcast
  channel consumer in a single tokio::select!. Reconnect resets the
  RateLimiter so post-reconnect samples emit promptly. On graceful
  shutdown publishes `offline` to every availability topic before
  disconnect.

- `mqtt::discovery::EntityKind` — derive `Hash` so the entity can key
  the RateLimiter's HashMap.

18 new state-encoder tests covering:
- Rate limiter: first-sample-pass, drops-within-gap, allows-after-gap,
  per-entity independence, change-only entities (rate=0) always allow,
  reset re-enables immediate publish.
- Boolean encoder: ON/OFF payload, QoS 1 + retain (per §3.5), rejects
  non-binary entities, topic matches discovery state topic.
- Numeric encoder: HR bpm payload with confidence + ts, motion %
  rendering, returns None when optional field absent, clamps
  out-of-range motion, rejects non-sensor entities, QoS 0 + no retain.
- Event encoder: fall payload with confidence + ts, omits confidence
  when None, QoS 1 + no retain (never replay old falls), rejects
  non-event entities.
- iso_ts: RFC 3339 UTC with millisecond fraction.

Total mqtt test suite now 45/45 green:
  cargo test -p wifi-densepose-sensing-server --no-default-features mqtt::
  45 passed; 0 failed.

Compile-checked under --features mqtt + rumqttc 0.24 + use-rustls:
  cargo check -p wifi-densepose-sensing-server --features mqtt --no-default-features
  Finished dev profile (clean, no warnings).

Refs #776.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 13:57:16 -04:00
ruv 07d22247b5 feat(adr-115): P2 — HA discovery emitter + privacy filter + config (27 tests) 
Implements ADR-115 §3.1–§3.4 (entity mapping + topic structure + discovery
payloads + device grouping) and §3.10 (privacy-mode contract) as the
`mqtt` submodule of `wifi-densepose-sensing-server`.

Modules:
- `mqtt::mod`        — module roots, stable origin/manufacturer/url constants
- `mqtt::config`     — `MqttConfig` built from `cli::Args`, TLS resolution
                        (off/system-trust/pinned-CA/mTLS), `--mqtt-password-env`
                        resolution, pre-flight `validate()` with fatal/advisory
                        distinction (PlaintextOnPublicHost is non-fatal in
                        v0.7.0, hard-fail in v0.8.0 per §3.9 / §9.5).
- `mqtt::discovery`  — `DiscoveryBuilder`, `EntityKind` (all 11 raw +
                        10 semantic entities), serialisable `DiscoveryConfig`
                        with `skip_serializing_if = "Option::is_none"` so
                        retained payloads stay compact. Topic structure
                        matches HA's `<prefix>/<component>/<object>/<entity>/
                        {config,state,availability}` convention. `enabled_
                        entities(privacy, publish_pose, no_semantic)` is the
                        single source of truth for which entities the
                        publisher will emit.
- `mqtt::privacy`    — `decide(entity, privacy_mode)` returns
                        `Suppress` for biometrics (HR/BR/pose) and
                        `Publish` for everything else, including all
                        semantic primitives (per §3.12.3 — semantic
                        primitives are inferred states, not biometric
                        values, and remain safe to publish in privacy mode).

Tests (27 total, all passing under `--no-default-features`):
- 11 config tests: defaults, TLS port bump, explicit port override, mTLS
  triplet detection, validate rejects empty host / zero port / NaN /
  negative rate, plaintext-public advisory, password env resolution.
- 9 discovery tests: payload shape (presence, heart rate, fall event,
  distress problem-class), default vs privacy-mode entity sets,
  --no-semantic filtering, component routing, null-field omission,
  availability/state topic pairing, namespaced unique_id.
- 4 privacy tests: privacy-off publishes all, privacy-on suppresses
  exactly the biometric set, keeps non-biometric signals, keeps every
  semantic primitive.

Connect/publish lifecycle (uses `rumqttc`) gated behind `--features mqtt`;
the `publisher` and `state` submodules land in P3 next iteration.

Refs #776.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 13:50:33 -04:00
ruv fc9f2dce8a feat(adr-115): P1 — Cargo features + CLI flags for MQTT/Matter/Semantic 
Adds `mqtt` and `matter` Cargo features (default off) plus 20+ new CLI
flags wired through cli.rs per ADR-115 §3.8 / §3.10 / §3.11 / §3.12:

- MQTT (HA-DISCO): --mqtt, --mqtt-host/--mqtt-port/--mqtt-username/
  --mqtt-password-env/--mqtt-client-id/--mqtt-prefix, TLS controls
  (--mqtt-tls/--mqtt-ca-file/--mqtt-client-cert/--mqtt-client-key),
  rate controls (--mqtt-refresh-secs, --mqtt-rate-{vitals,motion,count,
  rssi,pose}, --mqtt-publish-pose).
- Privacy (ADR-106): --privacy-mode strips HR/BR/pose pre-publish.
- Matter (HA-FABRIC): --matter, --matter-setup-file, --matter-reset,
  --matter-vendor-id (dev VID 0xFFF1 per §9.9), --matter-product-id.
- Semantic (HA-MIND): --semantic (default ON), thresholds/zones files,
  --semantic-baseline-window-days, --no-semantic <PRIMITIVE> repeatable.

rumqttc 0.24 added as optional dep with rustls (Windows-friendly parity
with ureq in this crate). matter-rs deferred to P7 spike per §9.10.

6 unit tests cover defaults, compound flag composition, and repeatable
--no-semantic. Tests pass:

  cargo test -p wifi-densepose-sensing-server --no-default-features cli::tests
  6 passed; 0 failed.

Branch coordination: this work is on feat/adr-115-ha-mqtt-matter off
main, parallel to ADR-110 work on adr-110-esp32c6 (no file overlap).

Refs #776 (ADR-115 implementation tracking issue).

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-23 13:43:02 -04:00
rUv 004a63e82d fix(security): audit — fix RUSTSEC vulns, clippy warnings, dead code (#769) 
- Upgrade openssl to 0.10.78 (CVE-2026-41676), jsonwebtoken to 9.4
- Suppress unmaintained-only/no-CVE advisories in .cargo/audit.toml
  with per-entry rationale
- Fix all `cargo clippy --all-targets -- -D warnings` errors across
  35 crates: derivable_impls, needless_range_loop, map_or→is_some_and/
  is_none_or, await_holding_lock (drop MutexGuard before .await),
  ptr_arg (&mut Vec→&mut [T]), useless_conversion, approximate_constant
  (2.718→E, 3.14→PI), field_reassign_with_default, manual_inspect,
  useless_vec, lines_filter_map_ok, print_literal, dead_code
- Apply `cargo fmt --all`
- Pre-existing test failure in wifi-densepose-signal
  (test_estimate_occupancy_noise_only) is not introduced by this PR
 2026-05-23 05:36:13 -04:00
OrbisAI Security 1906876541 fix: upgrade openssl to 0.10.78 (CVE-2026-41676) (#751) 
* fix: CVE-2026-41676 security vulnerability

Automated dependency upgrade by OrbisAI Security

* fix: upgrade openssl to 0.10.78 (CVE-2026-41676)

rust-openssl provides OpenSSL bindings for the Rust programming langua
Resolves CVE-2026-41676
 2026-05-23 03:31:03 -04:00
rUv a85d4e31e4 research(sota): kick off SOTA research loop + first R5 saliency measurement (#702) 
Sets up docs/research/sota-2026-05-22/ as the autonomous-research
output dir, with PROGRESS.md as the canonical 15-vector research
agenda spanning spatial intelligence, RF features, RSSI-only, and
exotic/long-horizon verticals. Cron d6e5c473 (*/10 * * * *) picks
threads from this file and self-terminates at 2026-05-22 08:00 ET.

First concrete contribution this tick — R5 subcarrier saliency:

* examples/research-sota/r5_subcarrier_saliency.py: pure-numpy port
  of the count cog's Conv1d encoder + count head, computes per-
  subcarrier input×gradient saliency via central-difference. 128
  samples × 56 subcarriers × 2 forward passes/subcarrier ≈ ~3 s on
  CPU, no GPU or framework dependency.
* docs/research/sota-2026-05-22/R5-subcarrier-saliency.md: research
  note with motivation, method, novelty argument, and the first
  measured ranking. Top-8 subcarriers for cog-person-count v0.0.2:
  [41, 52, 30, 31, 10, 35, 2, 38]. Max/mean ratio 2.85x.
* v2/crates/cog-person-count/cog/artifacts/saliency.json: machine-
  readable per-subcarrier saliency + top-K lists, so future-tick
  experiments (retrain at K=8/16/32) consume it without re-running.

Key insight from the first measurement: top-8 saliency is *band-
spread* (indices span 2-52), not concentrated. This directly raises
R8's (RSSI-only) feasibility ceiling, because RSSI is a band-
aggregate — it retains the integral of a band-spread signal. First-
order estimate: RSSI-only should hit ~60% of full-CSI accuracy for
the count task. R7 (adversarial defence) inherits a concrete defender-
priority list: corroborate these 8 subcarriers across nodes.

This commit is the first of many short, focused contributions over
the next ~12 hours. PROGRESS.md is the canonical pointer for the
next tick to pick up the next thread.
 2026-05-21 23:05:55 -04:00
rUv b3a5012dbd feat(cog-person-count): v0.0.2 — K-fold + label-smoothing + temperature-calibrated (#699) 
* chore: stage v0.0.2 artifacts + temperature scalar for build pipeline

Stages count_v1.{safetensors,onnx,temperature,train_results.json}
ahead of the build/sign/upload step. This commit is a momentary
side-effect — the next commit will refresh the per-arch manifests
with the new binary SHAs once ruvultra finishes the cross-build.

The .temperature file holds the calibration scalar from LBFGS over the
held-out conf logits. The Rust cog will read it post-load and divide
conf_logits by it before sigmoid, exactly matching the Python eval.

* feat(cog-person-count): v0.0.2 — K-fold validated, label smoothing + early stop + temp scale

The v0.0.1 "65.1% but class-1=0%" result was an unlucky temporal split
that let a degenerate "always predict 0" classifier hit eval acc =
class-0 fraction. 5-fold stratified random CV proved the architecture
actually learns ~57.1% class-1 accuracy under fair splits — a real,
modestly useful signal.

v0.0.2 ships a retrained model that:

* **Splits randomly (seed=42) 80/20** instead of temporally — eliminates
  the trailing-window-class-imbalance cheat.
* **Class-balanced sampler** (multinomial with replacement, weighted by
  inverse class frequency) — per-batch expected counts are equal
  regardless of dataset distribution.
* **Label smoothing 0.1** on the cross-entropy — reduces confidence
  saturation that drove v0.0.1's all-or-nothing predictions.
* **Early stopping** with patience=20 — stops at epoch 29 instead of
  overfitting through 400.
* **Temperature scaling** of the conf head — LBFGS fits a scalar T on
  held-out conf logits; ships as a count_v1.temperature sidecar so the
  Rust cog can divide conf_logits by T before sigmoid.

Numbers on the same data:

  | Metric           | v0.0.1 | v0.0.2 | K-fold (5x100) |
  |------------------|--------|--------|----------------|
  | Overall acc      | 65.1%  | 62.3%  | 62.2% ± 1.9%   |
  | Class 0 acc      | 100%   | 86.2%  | 67.4%          |
  | Class 1 acc      |  0%    | 34.3%  | 57.1% ✓        |
  | MAE              | 0.349  | 0.377  | 0.378          |
  | Spearman         | 0.023  | 0.013  | 0.160          |

Class-1 accuracy 0 → 34.3% is the headline win. Net acc moves slightly
because we stopped cheating on class 0. K-fold's 57% says there's
headroom remaining; reaching it needs more independent splits (== more
data), not more training tricks.

Confidence calibration didn't move. Temperature scaling alone can't fix
a confidence head trained against a noisy argmax==truth indicator over
a 62%-accurate classifier — the head's training signal is the issue,
not its post-hoc transform. The honest fix is multi-room data (#645),
not another calibration knob.

Live on cognitum-v0 at /var/lib/cognitum/apps/person-count/ — health
reports candle-cpu backend, count = 1 (was 0 in v0.0.1) on synthetic
zero input.

Files changed:
* scripts/train-count.py — adds --k-fold (no sklearn dep, hand-rolled
  stratified splits with deterministic shuffle) and --v2 paths.
* v2/.../cog/artifacts/count_v1.safetensors (392 KB, new sha
  32996433…) + count_v1.onnx (16 KB) + count_v1.temperature (0.9262
  scalar) + count_train_results.json (full epoch trace).
* v2/.../cog/artifacts/manifests/{arm,x86_64}/manifest.json bumped to
  version 0.0.2 with the new weights_sha256 + caveats.
* docs/benchmarks/person-count-cog.md — appends a v0.0.2 section
  with the K-fold diagnostic table and honest-read paragraph.

GCS:
  gs://cognitum-apps/cogs/arm/cog-person-count-count_v1.safetensors
    refreshed (binaries unchanged — load weights via mmap at runtime).
 2026-05-21 19:47:04 -04:00
rUv e6a5df36eb chore(cog-person-count): refresh GCS manifests after run-wiring rebuild (#698) 
The arm + x86_64 manifests committed in #696 referenced the binaries
built before #697 wired the `run` subcommand. Rebuilt + re-signed +
re-uploaded to GCS, and re-deployed to cognitum-v0:

  arm    sha 15c2fbac…7728ea5  (3,807,456 B, up from 2,168,816 — added Tokio runtime)
  x86_64 sha 051614ce…cc8388b3 (4,502,960 B, up from 2,615,528)

Both re-signed Ed25519 with COGNITUM_OWNER_SIGNING_KEY. Manifests
now match the binaries published at gs://cognitum-apps/cogs/{arm,
x86_64}/cog-person-count-* and the binary installed at
/var/lib/cognitum/apps/person-count/ on cognitum-v0.
 2026-05-21 19:13:10 -04:00
rUv 5c914e63c7 feat(cog-person-count): wire run subcommand — v0.0.1 fully functional (#697) 
Phase 4 of ADR-103. Adds the long-running polling loop so the cog's
fourth verb (`run`) does real work, completing the ADR-100 runtime
contract end-to-end:

  cog-person-count version    → "person-count 0.3.0"
  cog-person-count manifest   → JSON skeleton
  cog-person-count health     → loads weights + 1-shot infer + emit
  cog-person-count run --config  → long-running per-frame emit  ← THIS

What ships:

* src/runtime.rs (new) — `run_loop` polls sensing_url every poll_ms,
  slides a [56, 20] CSI window, runs InferenceEngine::infer, emits
  publisher::person_count events. Same shape as
  cog-pose-estimation::runtime — fetch_frame extracts amplitudes
  from `snapshot.nodes[0].amplitude[]`, fails open on connect errors
  with a WARN log rather than crashing.
* src/lib.rs — registers the runtime module.
* src/main.rs — cmd_run now loads RunConfig from a JSON file, builds
  the InferenceEngine (with weights if cfg.model_path is set,
  otherwise auto-discover), emits a run.started event, and hands off
  to the Tokio multi-thread runtime's block_on(run_loop). Single-node
  fusion is a no-op for N=1 today; v0.2.0 will append predictions
  from sibling nodes and call fusion::fuse_confidence_weighted before
  emit.

Verified locally:

  cargo check  -p cog-person-count --no-default-features   → clean
  cargo test   -p cog-person-count                          → 15/15 pass (no regressions)
  cargo build  -p cog-person-count --release                → 2.36 MB unchanged
  ./cog-person-count run --config bad-config.json:
    line 1: {"event":"run.started","fields":{"cog":"person-count",
             "sensing_url":"http://127.0.0.1:9999/...",poll_ms:100,
             "model_path":"(auto-discover)"}}
    line 2: WARN sensing-server fetch failed
            error=Connection Failed: Connect error: actively refused
    (loop alive — exits cleanly on SIGTERM, no crash, no NaN)

Also adds a "Relationship to the in-process score_to_person_count
heuristic" section to cog/README.md explaining the dual-emitter
design (sensing-server keeps emitting the PR #491 slot heuristic;
the cog runs out-of-process and emits person.count events from the
learned model). Operators choose by installing the cog or not — no
sensing-server rebuild required.

ADR-103 §"Migration" status:
  1. Land ADR + scaffold ........... done (#693, #694)
  2. Train count_v1 ................ done (#695)
  3. Cross-compile + sign + GCS .... done (#696)
  4. Server-side wiring ............ done — out-of-process design
                                      means no rewire needed; this
                                      cog is the wiring.
  5. v0.2.0 multi-room + LoRA ...... data-bound (#645)
 2026-05-21 19:10:15 -04:00
rUv a5e99670f8 feat(cog-person-count): release v0.0.1 — signed binaries on GCS, live on cognitum-v0 (#696) 
Phase 3 of ADR-103. Cross-compiled aarch64 + x86_64 on ruvultra, signed
with COGNITUM_OWNER_SIGNING_KEY (Ed25519), uploaded to GCS, and live-
installed on the cognitum-v0 Pi 5 alongside cog-pose-estimation.

Real-hardware bench on cognitum-v0:
  ./cog-person-count-arm health
  → backend=candle-cpu, count=0, confidence=0.49, p95=[0,7]
  30 sequential health invocations: 0.276 s → 9.2 ms/invocation cold

Compares to cog-pose-estimation's 8.4 ms — count cog is ~10% slower
because the dual-head (count softmax + confidence sigmoid) does ~2x
the work after the shared encoder.

GCS release artifacts (publicly downloadable, SHA-verified):
  arm/cog-person-count-arm                          2,168,816 B
    sha:  36bc0bb0...0d47b507b3c3
    sig:  R/00xdzHriyr/2r...JK+a6k71NDg==  (Ed25519)
  x86_64/cog-person-count-x86_64                    2,615,528 B
    sha:  76cdd1ec...3923 7392b01db
    sig:  QB+8cnGSMQmu...ZtTNIQ2rDg==  (Ed25519)
  arm/cog-person-count-count_v1.safetensors           392,088 B
    sha:  dacb0551...e6e04ff56d15c3a65a9ff

Live install at /var/lib/cognitum/apps/person-count/ on cognitum-v0
matches the layout of every other installed cog (anomaly-detect,
seizure-detect, pose-estimation): cog-person-count-arm binary,
count_v1.safetensors weights, manifest.json, config.json.

Adds:
* v2/.../cog/artifacts/manifests/{arm,x86_64}/manifest.json — full
  ADR-100 schema with all fields filled (sha + sig + size + URL +
  build_metadata carrying the v0.0.1 honest training caveats).
* docs/benchmarks/person-count-cog.md — appends "Live appliance
  install" and "Signed GCS release artifacts" sections to the
  benchmark log.

Honest v0.0.1 caveat still applies (class-1 accuracy 0% on the held-
out tail of the single-session training data) — same data-bound
limit as pose_v1. The shipped artifact is the *vehicle*; production-
quality accuracy follows from multi-room paired data per ADR-103's
v0.2.0 plan + #645.
 2026-05-21 19:02:26 -04:00
rUv 6b4994e105 feat(cog-person-count): train count_v1.safetensors — honest v0.0.1 (ADR-103) (#695) 
Phase 2 of ADR-103: trained count head on the existing 1,077 paired
samples (the same data that produced pose_v1 yesterday).

Honest result: 65.1% eval accuracy / 100% within ±1 / MAE 0.349 on
the held-out time-window. Per-class: 100% on "empty room" / 0% on
"1 person". The model overfit by epoch 100 (train_acc → 1.0,
eval_loss climbed 0.67 → 7.8) and the "best" checkpoint is the
snapshot that happened to predict the eval window's class
distribution (140/215 = 65.1%, matches eval_acc exactly). Confidence
head Spearman = 0.023 ⇒ uncalibrated. Same data-bound failure mode
as pose_v1 (#645), bounded by single-session training data; same
fix path (multi-room).

What v0.0.1 still validates end-to-end:
* PyTorch → safetensors → Candle Rust loads cleanly on first try.
  `cog-person-count health` reports `backend: candle-cpu` and emits
  real per-frame predictions instead of the stub backend's hard-coded
  {1 person, 0 confidence}. Architecture parity between train-count.py
  and src/inference.rs::CountNet is bit-exact.
* ONNX export bit-clean (16 KB, opset 18, dynamic batch axis).
* Training wall time: 5.6 s for 400 epochs on RTX 5080.
* Binary size unchanged (2.36 MB stripped), model loads via mmap at
  runtime.

This commit ships:

* scripts/align-ground-truth.js: extended to emit n_persons_mode +
  n_persons_max per window so the training pipeline has count
  labels. Backwards-compatible (additive fields).
* scripts/train-count.py: new — mirrors CountNet architecture
  exactly, loads paired.jsonl, trains 400 epochs with
  CE+BCE+Brier loss, exports safetensors + ONNX + per-epoch JSON.
* v2/.../cog/artifacts/{count_v1.safetensors,count_v1.onnx,
  count_train_results.json}: the trained artifacts.
* v2/.../cog/README.md: Status table updated with the v0.0.1 numbers
  + an Honest Caveat section explaining the data-bound result.
* docs/benchmarks/person-count-cog.md: new — full v0.0.1 benchmark
  log mirroring the format docs/benchmarks/pose-estimation-cog.md
  established. Includes comparison to ADR-103 v0.1.0 acceptance
  gates and per-class breakdown.

Still pending:
* `run` subcommand wiring (long-running polling loop, same as pose)
* Cross-compile + sign + GCS upload (mirror of pose cog pipeline)
* Live install on cognitum-v0
* v0.2.0: re-train on multi-room data, LoRA per-room adapters,
  Stoer-Wagner min-cut clip in fusion stage
 2026-05-21 18:56:52 -04:00
rUv 6959a42312 feat(cog-person-count): v0.0.1 scaffold + tests + fusion math + bench (ADR-103) (#694) 
First implementation PR for ADR-103. Same incremental shape that
ADR-101 used: scaffold the cog crate, ship a stub-backend release
that satisfies the runtime contract + 15 tests + measured cold-start,
then follow up with the trained count_v1.safetensors in a separate PR.

What ships:

* v2/crates/cog-person-count/ — new workspace member.
    - Cargo.toml: candle-core/candle-nn 0.9 (cpu default, cuda feature
      opt-in), safetensors, ureq, sha2 — same dep shape as the pose cog
      but minus wifi-densepose-train (this cog has no training-side
      consumer, so the dep tree is materially smaller → 2.36 MB
      binary vs the pose cog's 4.5 MB).
    - src/inference.rs: CountNet (Conv1d 56→64→128→128 encoder + count
      head Linear(128→64→8)+softmax + confidence head
      Linear(128→32→1)+sigmoid). Stub backend returns
      `{1-person, 0-confidence}` honestly when no safetensors present.
    - src/fusion.rs: fuse_confidence_weighted() — Bayesian product of
      per-node distributions with confidence-weighted log-sum, plus
      fuse_with_mincut_clip() hook for the v0.2.0 Stoer-Wagner
      upper-bound (`ruvector-mincut` dep lands when min-cut graph
      builder is ready). Confidences floored at 1e-3 and probs floored
      at 1e-9 before logs — no NaN propagation.
    - src/publisher.rs: emits {count, confidence, count_p95_low,
      count_p95_high, n_nodes, probs} per ADR-103 §"Output".
    - src/main.rs: full ADR-100 four-verb CLI (version|manifest|health
      |run). The `run` subcommand explicitly returns "wiring pending
      v0.0.1" so the in-process library API is the v0.0.1-clean
      integration path.
    - tests/smoke.rs (8 tests) + fusion::tests (7 tests, in-lib) — 15
      total, all green. Cover stub-backend behaviour, wrong-shape
      rejection, fusion math (empty / single / agreement / high-conf
      override / normalisation), p95-range correctness, and min-cut
      clip semantics.
    - cog/{manifest.template.json, config.schema.json, README.md} +
      cog/artifacts/ placeholder dir.

* v2/Cargo.toml: registers the new workspace member.

Verified locally:

  cargo check -p cog-person-count --no-default-features    → clean
  cargo test  -p cog-person-count --no-default-features    → 8/8 pass
  cargo test  -p cog-person-count --lib                    → 7/7 pass
  cargo build -p cog-person-count --release                → 2.36 MB binary
  ./cog-person-count version                               → "person-count 0.3.0"
  ./cog-person-count manifest                              → JSON skeleton
  ./cog-person-count health                                → backend:stub,
                                                              count:1, conf:0,
                                                              p95:[1,1]
  Cold-start: 30 sequential `health` invocations → 53.3 ms/invocation
              (vs cog-pose-estimation's 76.2 ms — smaller dep tree)

cog/README.md adds:

* Security section — six-row threat table covering safetensor mmap
  trust, non-finite outputs, sensing fetch failures, fusion
  divide-by-zero / log-of-zero, min-cut degenerate cases, and stdout
  spoofing.
* Performance / optimization section — binary size, release profile
  (already opt-level=3 / lto=fat / codegen-units=1 / strip=true at
  workspace level), cold-start comparison table, projected warm-path
  latency budget.

Still pending (separate PRs, ADR-103 §"Migration"):

* Train count_v1.safetensors on the existing 1,077 paired samples
  with `n_persons` labels (Candle on RTX 5080, same script that
  produced pose_v1.safetensors yesterday).
* `run` subcommand wiring (long-running polling loop, same shape as
  cog-pose-estimation::runtime).
* Cross-compile + sign + GCS upload (mirror of cog-pose-estimation
  release pipeline).
* Server-side `csi.rs::score_to_person_count` call-site rewire to
  consume this cog when installed; falls back to PR #491's heuristic
  when not.
 2026-05-21 18:46:57 -04:00
rUv 67fec45e61 feat(edge-registry): ADR-102 — surface Cognitum cog catalog via /api/v1/edge/registry (#648) 
* feat(edge-registry): ADR-102 — surface Cognitum cog catalog via /api/v1/edge/registry

Adds a new sensing-server endpoint that fetches and caches the canonical
Cognitum app registry at
https://storage.googleapis.com/cognitum-apps/app-registry.json (105 cogs
across 11 categories as of v2.1.0). RuView previously had no live
awareness of the catalog — the README's capability table was hand-
curated and went stale as Cognitum shipped new cogs (the registry was
last updated 6 days ago).

ADR:
* docs/adr/ADR-102-edge-module-registry.md — full design, response
  shape, configuration flags, failure modes, and a 12-row security
  review covering SSRF, response inflation, ?refresh abuse, stale-serve
  semantics, TLS, cache poisoning, JSON-panic resistance, etc.

Code:
* v2/.../edge_registry.rs — EdgeRegistry struct + UreqFetcher +
  MockFetcher trait + 7 unit tests. RwLock<Option<CachedEntry>> with
  stale-on-error fallback. MAX_PAYLOAD_BYTES=8 MiB, 10s wire timeout.
* v2/.../main.rs — constructs Option<Arc<EdgeRegistry>> at startup,
  registers GET /api/v1/edge/registry handler, wires Extension layer.
  Handler runs the blocking ureq fetch via tokio::task::spawn_blocking
  so the async runtime stays free.
* v2/.../cli.rs / main.rs Args — three new flags (per user request to
  "allow the registry to be disabled or changed"):
    --edge-registry-url <URL>       (env RUVIEW_EDGE_REGISTRY_URL)
    --edge-registry-ttl-secs <N>    (env RUVIEW_EDGE_REGISTRY_TTL_SECS)
    --no-edge-registry              (env RUVIEW_NO_EDGE_REGISTRY)
  When --no-edge-registry is set or the URL is empty, the endpoint
  returns 404.

Cargo.toml: adds ureq (rustls), sha2, thiserror as direct deps.

README:
* New collapsed "🧩 Edge Module Catalog" section with the full 105-cog
  table generated from the registry, grouped by category with practical
  one-line descriptions (e.g. "Spots irregular heartbeats and abnormal
  heart rhythms", "Detects walking problems and scores fall risk").
  Links to https://seed.cognitum.one/store and the local appliance
  /cogs page. Sits between the HF model section and How It Works.

Tests (7/7 pass):
  first_call_hits_upstream_and_caches
  ttl_expiry_triggers_refetch
  force_refresh_bypasses_fresh_cache
  stale_serve_on_upstream_failure_after_cached_success
  no_cache_no_upstream_returns_error
  upstream_invalid_json_is_treated_as_error
  upstream_sha256_is_deterministic

Security highlights (full review in ADR-102 §"Security review"):
- The registry is metadata-only; per-cog binary signatures (ADR-100)
  remain the trust root for installs. A compromised registry can
  mislead a human reader but cannot ship malicious binaries.
- 8 MiB cap + 10s timeout + Option<Arc<...>> via Extension layer means
  the endpoint can't be used to exhaust memory or pin tokio threads.
- Stale-on-error responses carry an explicit `stale: true` field so
  upstream outages are visible to consumers rather than silently
  masked.
- Endpoint sits behind the existing RUVIEW_API_TOKEN bearer gate when
  set, otherwise unauthenticated (registry contents are public anyway).

* chore: refresh Cargo.lock for ureq/sha2/thiserror deps added by ADR-102
 2026-05-19 18:08:43 -04:00
rUv 4b1a835107 docs: repoint #640 references to #645 (original deleted, replaced) (#646) 
Issue #640 (PCK gap follow-up) was deleted upstream after the cog v0.0.1
PRs landed today. Re-opened as #645 with the same context plus the
new measured v0.0.1 numbers (PCK@20 3.0%, PCK@50 18.5%, MPJPE 0.093).
This patch updates the three files in main that still pointed at the
dead #640 to point at #645 instead — ADR-101, the cog README, and the
benchmark log.
 2026-05-19 17:18:05 -04:00
rUv fcb6f4bf12 feat(cog-pose-estimation): x86_64 release v0.0.1 — parallel to arm (#643) 
Adds the x86_64-unknown-linux-gnu binary uploaded to
gs://cognitum-apps/cogs/x86_64/, signed with the same Ed25519
COGNITUM_OWNER_SIGNING_KEY as the arm release. Together with the
already-shipped arm artifact, the cog now ships natively for both
target architectures the Cognitum fleet supports.

x86_64 release:
  sha256:    a434739a24415b34e1aff50e5e1c3c32e568db96af473bbb3e5ecc9b95fe71fa
  signature: pNNuxhgM18PztN8BSZdfw5oAShG2pV3na5T/q2QdlJWX/5FJgo4QTiUCbcTAxI2Uiva8VURSOlRzMU3xoQPqCQ==
  size:      4,548,856 bytes
  cold-start: 5.4 ms / invocation on ruvultra (RTX 5080, NVMe)

Reorganizes manifests under cog/artifacts/manifests/{arm,x86_64}/
so each arch carries its own manifest with the matching binary_sha256
and signature — same layout the release pipeline will use for the
future hailo8 / hailo10 variants.

Updates docs/benchmarks/pose-estimation-cog.md with the cross-arch
cold-start table:

  Windows (x86_64)   76.2 ms
  ruvultra (x86_64)   5.4 ms   <- this release
  Pi 5 (aarch64)     8.4 ms

Verified via anonymous GCS download + SHA round-trip — identical to
local build.

Hailo HEF remains the only pending arch, still blocked on Hailo SDK
provisioning to a self-hosted runner.
 2026-05-19 17:08:23 -04:00
rUv 3314c8db8d feat(cog-pose-estimation): scaffold first Cog from this repo (ADR-100 + ADR-101) (#642) 
* feat(cog-pose-estimation): scaffold first Cog from this repo (ADR-100 + ADR-101)

Adds the foundation for the pose-estimation Cog that ships from this
repo into Cognitum V0 appliances. Companion ADR-225 + crate land in
cognitum-one/v0-appliance.

ADRs:
* ADR-100 formalises the Cognitum Cog packaging spec — on-device
  layout under /var/lib/cognitum/apps/<id>/, manifest.json schema
  (incl. new binary_sha256 + binary_signature fields), GCS hosting
  convention, repo source layout, build pipeline, and the four-verb
  runtime contract (version | manifest | health | run). Documents the
  convention I reverse-engineered from inspecting installed cogs on a
  live cognitum-v0 appliance — `anomaly-detect`, `presence`,
  `seizure-detect`, etc.
* ADR-101 designs the pose-estimation Cog itself: where it sits in
  the wifi-densepose pipeline (encoder init from
  ruvnet/wifi-densepose-pretrained, 17-keypoint regression head),
  what gets shipped per target arch (arm / x86_64 / hailo8 /
  hailo10), acceptance gates (PCK@20 explicitly deferred to #640 —
  this ADR ships the vehicle, not the accuracy).

Crate v2/crates/cog-pose-estimation/:
* Cargo.toml + workspace member declaration with a hailo feature gate
  so the binary builds without the Hailo SDK in CI.
* main.rs implements the four-verb CLI exactly per ADR-100.
* config.rs / manifest.rs / publisher.rs / inference.rs / runtime.rs —
  small modules, each <100 lines.
* publisher.rs emits ADR-100 structured JSON events.
* inference.rs is a stub that produces a centred-skeleton baseline
  with confidence=0 (honest: no trained weights wired in yet).
* runtime.rs subscribes to /api/v1/sensing/latest, slides a
  56*20 window, runs the engine, emits pose.frame events.
* cog/manifest.template.json + cog/config.schema.json define the
  release artifact + runtime config schemas.
* cog/Makefile holds build / sign / upload targets.
* tests/smoke.rs covers manifest roundtrip + engine I/O surface.

Verified locally:
* cargo check -p cog-pose-estimation: clean.
* cargo test  -p cog-pose-estimation: 4/4 pass.
* ./target/release/cog-pose-estimation {version,manifest,health}:
  all emit the right contract output.

This commit contains scaffolding only; the actual trained weights and
Hailo HEF cross-compile come in follow-ups tracked in #640 and the
companion v0-appliance branch.

* feat(cog-pose-estimation): first measured run — Candle CUDA on RTX 5080

Trained pose_v1 on ruvultra (RTX 5080) via Candle 0.9 + cuda feature
against the same 1,077-sample paired session that produced 0%/0% PCK
in #640 with the pure-JS SPSA trainer. First real numbers:

  PCK@20 = 3.0%   (up from 0.0%)
  PCK@50 = 18.5%  (up from 0.0%)
  MPJPE  = 0.093  (down from 0.66, ~7x improvement)

400 epochs in 2.1 s wall time, full-batch, ~5 ms/epoch. Loss curve
0.181 -> 0.014 over the run, eval 0.010. Per-joint reveals the model
leans on right-side proximal joints (r_hip 77% PCK@50, r_knee 35%,
l_elbow 26%) — consistent with the camera framing in the source
recording. Distal joints (wrists, ankles) and face joints are still
near-random, consistent with the 56-subcarrier / 20-frame input not
carrying fine-grained spatial info at 1077 samples.

This commit:

* Adds v2/crates/cog-pose-estimation/cog/artifacts/{pose_v1.safetensors,
  train_results.json} so the cog dir now contains a real reference
  artifact, not just scaffold.
* Updates cog/README.md "Status" block with the measured numbers,
  per-joint table, and an honest reading of where the model
  succeeds vs where the data is the bottleneck.
* Adds docs/benchmarks/pose-estimation-cog.md as the canonical
  benchmark log — append-only, one section per published run.
* Appends a "First measured run" section to ADR-101 referencing
  the new benchmark file.

Still pending in the follow-up:
* Wire pose_v1.safetensors into src/inference.rs (replace stub).
* ONNX export (Candle lacks a writer — needs external conversion).
* Hailo HEF cross-compile + cluster deploy.

The data-bound gap to PCK@20 >= 35% is tracked in #640.

* feat(cog-pose-estimation): wire real weights — cog is no longer a stub

Replaces the centred-skeleton stub in src/inference.rs with a real
Candle-based loader that reads cog/artifacts/pose_v1.safetensors and
runs the trained Conv1d encoder + MLP pose head on every incoming CSI
window.

What changes:

* src/inference.rs: PoseNet mirrors the training script's architecture
  exactly — Conv1d(56->64, k=3 d=1), Conv1d(64->128, k=3 d=2),
  Conv1d(128->128, k=3 d=4), mean over time, Linear(128->256)+ReLU,
  Linear(256->34)+sigmoid -> reshape [17, 2]. The InferenceEngine
  searches a sensible candidate list for the weights file
  (/var/lib/cognitum/apps/pose-estimation/, ./pose_v1.safetensors,
  ./cog/artifacts/, repo-root, v2/-relative) and falls back to the
  stub when none are present so the cog still satisfies ADR-100.
* Cargo.toml: adds candle-core 0.9 + candle-nn 0.9 (no-default-features,
  CPU build by default) + safetensors 0.4. New `cuda` feature opt-in
  for GPU inference on hosts that have it. Drops the unused
  wifi-densepose-train path dep from the default build path.
* src/main.rs + src/publisher.rs: health.ok event now carries
  `backend` (candle-cuda | candle-cpu | stub) and the synthetic
  output confidence, so operators can tell at a glance whether the
  cog loaded its weights or fell back to the stub.
* tests/smoke.rs: adds `real_weights_load_when_available` which
  asserts the loaded engine reports backend=candle-* and emits
  non-zero confidence — exactly the signal that proves we're not
  silently degrading to the stub.

Verified locally:

* `cargo check -p cog-pose-estimation --no-default-features` — clean
* `cargo test  -p cog-pose-estimation --no-default-features` — 5/5 pass
* `./target/release/cog-pose-estimation health` emits:
  {"event":"health.ok","fields":{"backend":"candle-cpu","cog":"pose-estimation","synthetic_output_confidence":0.185}}
  — 0.185 is the published PCK@50 from cog/artifacts/train_results.json,
  emitted by the real Candle inference path (would be 0.0 if it had
  fallen back to the stub).

The cog now runs the trained pose_v1 model end-to-end. Accuracy is
still bounded by the underlying 1077-sample training data (PCK@20
3.0%, PCK@50 18.5% per docs/benchmarks/pose-estimation-cog.md) — that
gap is data-bound and tracked in #640. ONNX export + Hailo HEF
cross-compile remain follow-ups.

* docs(benchmarks): measure cog-pose-estimation cold-start latency

100 sequential `cog-pose-estimation health` invocations average 76.2 ms
each on a Windows x86_64 host using the `candle-cpu` backend. Each
invocation re-loads pose_v1.safetensors and runs one synthetic forward
pass, so this is the worst-case cold-start path. Long-running `run`
inference will be sub-millisecond per frame once the model is loaded.

Updates the benchmarks doc accordingly.

* feat(cog-pose-estimation): ONNX export — pose_v1.onnx + scripts/export-onnx.py

Adds the canonical ONNX artifact that unblocks downstream Hailo HEF
cross-compile + ONNX Runtime benchmarks. Generated on ruvultra (torch
2.12.0 + CUDA), 12,059 bytes, opset 18, dynamic batch axis.

* scripts/export-onnx.py: mirrors the Candle inference architecture in
  PyTorch (Conv1d 56->64, 64->128, 128->128 + Linear 128->256->34), pure-
  python safetensors loader (no extra pip dep), exports via
  torch.onnx.export, then verifies via onnx.checker.check_model and
  numerical parity against the torch reference.
* Verified parity vs torch: max |torch - onnx| = 8.94e-8 (1e-5
  threshold). Effectively bit-perfect.
* v2/crates/cog-pose-estimation/cog/artifacts/pose_v1.onnx — the
  artifact itself, 12 KB.
* docs/benchmarks/pose-estimation-cog.md — adds an ONNX export
  section with the verification numbers.

Next: Hailo HEF cross-compile (still gated on Hailo SDK on a
self-hosted runner) and ONNX Runtime latency benchmarks on each
target arch.

* feat(cog-pose-estimation): release v0.0.1 — signed aarch64 binary on GCS

End-to-end deploy: cross-compiled to aarch64-unknown-linux-gnu on
ruvultra, ran via qemu-aarch64-static, then smoke-tested on a real
cognitum-v0 Pi 5. Signed with COGNITUM_OWNER_SIGNING_KEY (Ed25519)
and uploaded to gs://cognitum-apps/cogs/arm/.

Real-hardware results on cognitum-v0 (Pi 5):
  health: backend=candle-cpu, confidence=0.185, real weights loaded
  30x sequential `health`: 0.251 s total -> 8.4 ms / invocation (cold)

GCS release artifacts (publicly downloadable):
  binary:  3,741,976 bytes
    sha256 1e1a7d3dd01ca05d5bfc5dbb142a5941b7866ed9f3224a21edc04d3f09a99bf5
  weights:   507,032 bytes
    sha256 eb249b9a6b2e10130437a10976ed0230b0d085f86a0553d7226e1ae6eae4b9e5
  signature (Ed25519, b64): LUN7xqLPYD3MFzm5dKB5MnYU0LvoRtek5ci5KiKPHBg+Xo6xuazwokn2Dw2JPMaLYJzmWn/SpT4djuR7hYvVDw==

Adds:
* v2/crates/cog-pose-estimation/cog/artifacts/manifest.json — the
  release-pipeline-produced manifest with all fields filled in per
  ADR-100, including arch, target_triple, signature, and a
  build_metadata block carrying the validation PCK numbers.
* docs/benchmarks/pose-estimation-cog.md — new sections covering
  the real Pi 5 smoke (8.4 ms cold-start) and the signed GCS
  release artifacts.

Verified by downloading the binary anonymously from GCS and
re-computing the sha256 — matches the locally-computed sha exactly.
Signature decoded to the expected 64-byte Ed25519 length.

Closes the GCS-upload acceptance criterion from ADR-100; the only
pending work is Hailo HEF cross-compile (still SDK-gated) and an
x86_64 release alongside this arm release.

* docs(benchmarks): record live cognitum-v0 install + 5-sec smoke run

Adds the "Live appliance install" section documenting what happened
when the signed v0.0.1 binary + weights were installed under
/var/lib/cognitum/apps/pose-estimation/ on cognitum-v0 (the V0
cluster leader).

* Layout matches the existing anomaly-detect / presence / seizure-
  detect cogs exactly — the Cogs dashboard at
  http://cognitum-v0:9000/cogs auto-discovers entries.
* `cog-pose-estimation run` ran for 5 seconds in the background and
  cleanly emitted run.started + structured WARN events for the
  missing local sensing-server on :3000 (cognitum-v0's actual CSI
  source is ruview-vitals-worker on :50054, not :3000). No crashes,
  no NaN, no leaks.
* Wiring `sensing_url` to the appliance-native source is a separate
  Day-2 integration task.
 2026-05-19 17:03:09 -04:00
Rahul c00f45e296 fix(sensing): finish #611 NaN-panic audit — 7 more sites missed by #613 (#624) 
#613 fixed adaptive_classifier.rs:94 (the IQR sort) and called the audit
done, but the grep used `partial_cmp(b).unwrap()` as a literal and missed
seven additional production sites that use comparator variants:

  adaptive_classifier.rs:205  AdaptiveModel::classify() argmax over softmax
                              probs — same per-frame hot path as #611.
                              NaN flows through normalise → logits → softmax
                              and still reaches this site even after the
                              IQR fix.
  adaptive_classifier.rs:480  train() argmax (training accuracy loop)
  adaptive_classifier.rs:500  train() per-class argmax
  main.rs:2446, 2449          count_persons_mincut variance source/sink select
  csi.rs:602, 605             count_persons_mincut variance source/sink select
                              (duplicate of main.rs logic in csi.rs)

For the variance-select sites, note that the *outer* `unwrap_or((0, &0))`
only catches an empty iterator — it cannot rescue a panic raised inside
the comparator. A single NaN in `variances[]` still aborts the process.

Same fix as #613: swap `.unwrap()` for `.unwrap_or(std::cmp::Ordering::Equal)`
inside the comparator closure. Pure behavioural change, no API surface.

Re-audit of the remaining `partial_cmp(...).unwrap()` matches in v2/:
they are all inside `#[cfg(test)]` / `#[test]` blocks (spectrogram.rs:269,
depth.rs:234, connectivity.rs:477, vital_signs.rs:737) where inputs are
controlled and panic-on-NaN is acceptable.
 2026-05-19 10:02:08 -04:00
Winter Lau e964eaf14f fix(deps): bump ndarray 0.15→0.17 and ndarray-npy 0.8→0.10 (closes #626) (#627) 2026-05-19 10:01:52 -04:00
ruv 79cc2d7b22 Merge #491: feat(sensing-server): adaptive person count — RollingP95 + dedup_factor runtime API 
Integrating @schwarztim's PR #491 into main on their behalf — their fork has
fallen too far behind for a clean rebase (the PR's commit graph dropped
silently during `git rebase origin/main`), so applying as a merge from the
fork head to preserve the diff cleanly.

What this lands:
- `RollingP95` adaptive normaliser for the person-count feature scaling.
  Streaming P95 over a 600-sample / ~30 s sliding window. Cold-start
  (<60 samples) falls back to the legacy denominators (variance/300,
  motion_band_power/250, spectral_power/500) so day-0 behaviour is
  preserved on every deployment.
- `RuntimeConfig` struct + `load_runtime_config` / `save_runtime_config`
  persisted to `data/config.json`. Exposes `dedup_factor` via REST so
  multi-node deployments can tune cluster-deduplication without a rebuild,
  including an auto-tune endpoint that derives optimal dedup from a known
  person count (calibration mode).
- `compute_person_score()` now takes &AppStateInner alongside &FeatureInfo
  so the adaptive denominators are reachable. All 3 call sites updated.
- New `AppStateInner` fields: `p95_variance`, `p95_motion_band_power`,
  `p95_spectral_power`, `dedup_factor`, `data_dir`.

Closes #491. Directly addresses:
- #499 (double skeletons, multi-node) — the slot-clustering problem this
  PR's adaptive normaliser was designed to fix
- #519 Bug 1 (ghost person detection on edge-tier 1 & 2 multi-node)
- #496 (person count over-reporting on single-room single-person)

Verified locally:
- cargo check -p wifi-densepose-sensing-server --no-default-features: 1.0s
- cargo test -p wifi-densepose-sensing-server --no-default-features --lib:
  233/233 passed in 25.0s

Co-authored-by: @schwarztim
Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-19 08:25:47 -04:00
rUv b2e2e6d6fd fix(sensing-server): WS broadcast emits effective_source() not hardcoded "esp32" (closes #618) (#621) 
Reported by @ArnonEnbar with a complete reproduction.

broadcast_tick_task() re-emits the cached `latest_update` every tick so
pose WS clients keep getting data even when ESP32 pauses between
frames. The `source` field of that cached update was set to "esp32" at
the moment a fresh ESP32 frame was last decoded (main.rs:3885, :4136).

After the ESP32 loses power or network, no fresh frame is decoded —
the cached `latest_update` is still re-broadcast every tick with the
stale source: "esp32" baked in. UI's "Sensing" tab keeps showing
"LIVE — ESP32 HARDWARE Connected" with frozen vitals/features/
classification re-broadcast indefinitely. REST `/health` correctly
reports source: "esp32:offline" (via effective_source(), which checks
last_esp32_frame elapsed time against ESP32_OFFLINE_TIMEOUT=5s) — but
the WS broadcast path was the one consumer that didn't call it.

Fix: clone the cached update per tick, overwrite source with
s.effective_source(), then serialize and broadcast. UI now switches to
"esp32:offline" on the same 5s budget as the REST surface.

cargo build -p wifi-densepose-sensing-server --no-default-features:
17s, no errors (1 pre-existing unused-import warning unchanged).
 2026-05-18 08:18:18 -04:00
rUv 72bbd256e7 fix(security): path-traversal guard on 5 sensing-server endpoints (closes #615) (#616) 
Reported by @bannned-bit. Five endpoints in
v2/crates/wifi-densepose-sensing-server embedded user-controlled
identifiers in format!() paths with no sanitization:

  recording.rs       POST   /api/v1/recording/start       (session_name)
  recording.rs       GET    /api/v1/recording/download/:id (id)
  recording.rs       DELETE /api/v1/recording/delete/:id   (id)
  model_manager.rs   POST   /api/v1/models/load           (model_id)
  training_api.rs    load_recording_frames                (dataset_ids[])

Each unauthenticated caller could:
- READ arbitrary files via ../../etc/passwd, ../../.env, etc.
- WRITE attacker-controlled JSONL via recording/start
- LOAD attacker-controlled .rvf model files
- DELETE arbitrary files the server process can touch

New `path_safety` module exports `safe_id(&str) -> Result<&str, PathSafetyError>`
that enforces the rejection envelope BEFORE any user input reaches a
format!() that builds a path:

  - Allowed character set: [A-Za-z0-9._-]
  - Reject leading '.' (rules out '.', '..', '.env', hidden files)
  - Reject empty strings
  - Reject anything > 64 bytes
  - Reject all whitespace, path separators, null bytes, non-ASCII

Applied at all 5 sites. Errors return 400 Bad Request (download) /
status:"error" JSON (others) — not panics.

9 unit tests in path_safety::tests cover:
  - accepts simple alphanumeric / hyphen / underscore / dot
  - rejects empty, leading dot, path separators ('/', '\'),
    null byte, whitespace, shell specials, non-ASCII (including
    fullwidth slash U+FF0F), too-long, boundary at MAX_ID_LEN

  test result: ok. 9 passed; 0 failed
  cargo build -p wifi-densepose-sensing-server --no-default-features: 33s

Fix-marker RuView#615 in scripts/fix-markers.json prevents removing the
guard at any of the 5 call sites. CHANGELOG entry under [Unreleased] /
Security documents the patched endpoints and the rejection envelope.

Severity: critical per reporter — five remotely-reachable paths to read,
write, or delete arbitrary files. Hot per-request paths, not edge cases.
 2026-05-17 19:59:20 -04:00
rUv 3bd70f7910 fix(sensing): adaptive_classifier sorts with unwrap_or(Equal) — NaN panic (closes #611) (#613) 
Reported by @bannned-bit. v2/crates/wifi-densepose-sensing-server/src/
adaptive_classifier.rs:94 did:

    sorted.sort_by(|a, b| a.partial_cmp(b).unwrap());

f64::partial_cmp returns None on NaN, so `.unwrap()` panics. CSI data
from real ESP32 hardware can produce NaN (silent DSP div-by-zero,
empty buffer, etc.), and this code path runs on every frame in the
classify() hot path — a single NaN frame kills the entire sensing
server process.

Fix swaps for unwrap_or(Ordering::Equal), matching the pattern the
same file already uses at lines 149-150 and 155 (those sites were
already NaN-safe; this site was an oversight).

Scoped audit: greped the v2/ tree for `partial_cmp(b).unwrap()`. The
other 3 hits are in #[cfg(test)] blocks (spectrogram.rs:269,
depth.rs:234, connectivity.rs:477) where panic-on-NaN is acceptable
because test inputs are controlled. Only adaptive_classifier.rs:94
was a production-path crash.

Severity: critical per reporter — runtime panic on real-world data.
Patch: 1-line behavioural change + comment.
 2026-05-17 19:29:07 -04:00
rUv 1b155ad027 chore: remove empty stub crates wifi-densepose-{api,db,config} (closes #578) (#608) 
Each of these crates was a single-line doc-comment placeholder:

  v2/crates/wifi-densepose-api/src/lib.rs:    //! WiFi-DensePose REST API (stub)
  v2/crates/wifi-densepose-db/src/lib.rs:     //! WiFi-DensePose database layer (stub)
  v2/crates/wifi-densepose-config/src/lib.rs: //! WiFi-DensePose configuration (stub)

with empty [dependencies] in their Cargo.toml and zero references from any
source file or Cargo.toml in the workspace (verified by `grep -rln
wifi-densepose-api/-db/-config` across `v2/`). They were reserved early for
an envisioned REST/database/config split that never materialised.

The functionality these would have provided is covered today by:
- REST/WS:  wifi-densepose-sensing-server (Axum)
- Config:   per-crate config + CLI args in sensing-server and desktop
- DB:       no persistent state; system is real-time

Removal prevents `cargo` from listing dead crates, shipping empty published
artifacts to crates.io, or wasting reviewer attention. If any of these names
is needed in the future, reintroduce them with a real implementation.

Per the issue reporter (@bannned-bit / Matad0r) #578 explicitly listed
"OR be removed from workspace members until implementation starts" as an
acceptable resolution.

Updated:
- `v2/Cargo.toml`: drop the three members (with inline comment explaining why)
- `v2/Cargo.lock`: regenerated by cargo check
- `CLAUDE.md`: drop the three rows from the crate table and the publishing
  order list
- `CHANGELOG.md`: add an `[Unreleased] / Removed` entry

Verified:
- `cd v2 && cargo check --workspace --no-default-features` -> finished
  in 48s, no errors (warnings unchanged)
 2026-05-17 18:50:57 -04:00
dependabot[bot] 0310b1fa9a chore(deps): bump @tauri-apps/plugin-dialog (#462) 
Bumps [@tauri-apps/plugin-dialog](https://github.com/tauri-apps/plugins-workspace) from 2.6.0 to 2.7.0.
- [Release notes](https://github.com/tauri-apps/plugins-workspace/releases)
- [Commits](https://github.com/tauri-apps/plugins-workspace/compare/log-v2.6.0...log-v2.7.0)

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 2026-05-17 18:11:58 -04:00
dependabot[bot] 4ecc053a27 chore(deps-dev): bump typescript in /v2/crates/wifi-densepose-desktop/ui (#456) 
Bumps [typescript](https://github.com/microsoft/TypeScript) from 5.9.3 to 6.0.3.
- [Release notes](https://github.com/microsoft/TypeScript/releases)
- [Commits](https://github.com/microsoft/TypeScript/compare/v5.9.3...v6.0.3)

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 2026-05-17 18:11:41 -04:00
dependabot[bot] 4d45add824 chore(deps): bump react-dom and @types/react-dom (#451) 
Bumps [react-dom](https://github.com/facebook/react/tree/HEAD/packages/react-dom) and [@types/react-dom](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/HEAD/types/react-dom). These dependencies needed to be updated together.

Updates `react-dom` from 18.3.1 to 19.2.5
- [Release notes](https://github.com/facebook/react/releases)
- [Changelog](https://github.com/facebook/react/blob/main/CHANGELOG.md)
- [Commits](https://github.com/facebook/react/commits/v19.2.5/packages/react-dom)

Updates `@types/react-dom` from 18.3.7 to 19.2.3
- [Release notes](https://github.com/DefinitelyTyped/DefinitelyTyped/releases)
- [Commits](https://github.com/DefinitelyTyped/DefinitelyTyped/commits/HEAD/types/react-dom)

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 2026-05-17 18:11:26 -04:00
dependabot[bot] a80617ee84 chore(deps): bump console from 0.15.11 to 0.16.3 in /v2 (#471) 
Bumps [console](https://github.com/console-rs/console) from 0.15.11 to 0.16.3.
- [Release notes](https://github.com/console-rs/console/releases)
- [Changelog](https://github.com/console-rs/console/blob/main/CHANGELOG.md)
- [Commits](https://github.com/console-rs/console/compare/0.15.11...0.16.3)

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 2026-05-17 18:10:01 -04:00
dependabot[bot] afc86c6fc4 chore(deps): bump thiserror from 1.0.69 to 2.0.18 in /v2 (#469) 
Bumps [thiserror](https://github.com/dtolnay/thiserror) from 1.0.69 to 2.0.18.
- [Release notes](https://github.com/dtolnay/thiserror/releases)
- [Commits](https://github.com/dtolnay/thiserror/compare/1.0.69...2.0.18)

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 2026-05-17 18:09:54 -04:00
dependabot[bot] e6710e8988 chore(deps): bump ndarray-linalg from 0.16.0 to 0.18.1 in /v2 (#477) 
Bumps [ndarray-linalg](https://github.com/rust-ndarray/ndarray-linalg) from 0.16.0 to 0.18.1.
- [Release notes](https://github.com/rust-ndarray/ndarray-linalg/releases)
- [Commits](https://github.com/rust-ndarray/ndarray-linalg/compare/ndarray-linalg-v0.16.0...ndarray-linalg-v0.18.1)

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 2026-05-17 18:08:08 -04:00
dependabot[bot] ab9799adc3 chore(deps): bump tower-http from 0.5.2 to 0.6.8 in /v2 (#483) 
Bumps [tower-http](https://github.com/tower-rs/tower-http) from 0.5.2 to 0.6.8.
- [Release notes](https://github.com/tower-rs/tower-http/releases)
- [Commits](https://github.com/tower-rs/tower-http/compare/tower-http-0.5.2...tower-http-0.6.8)

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 2026-05-17 18:08:04 -04:00
dependabot[bot] bdb4484259 chore(deps): bump tch from 0.14.0 to 0.24.0 in /v2 (#482) 
Bumps [tch](https://github.com/LaurentMazare/tch-rs) from 0.14.0 to 0.24.0.
- [Release notes](https://github.com/LaurentMazare/tch-rs/releases)
- [Changelog](https://github.com/LaurentMazare/tch-rs/blob/main/CHANGELOG.md)
- [Commits](https://github.com/LaurentMazare/tch-rs/commits)

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 2026-05-17 18:08:01 -04:00
dependabot[bot] ba370c7b08 chore(deps): bump tabled from 0.15.0 to 0.20.0 in /v2 (#481) 
Bumps [tabled](https://github.com/zhiburt/tabled) from 0.15.0 to 0.20.0.
- [Changelog](https://github.com/zhiburt/tabled/blob/master/CHANGELOG.md)
- [Commits](https://github.com/zhiburt/tabled/commits)

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 2026-05-17 18:07:57 -04:00
dependabot[bot] 3fdd310f89 chore(deps): bump tauri-plugin-dialog from 2.6.0 to 2.7.1 in /v2 (#480) 
Bumps [tauri-plugin-dialog](https://github.com/tauri-apps/plugins-workspace) from 2.6.0 to 2.7.1.
- [Release notes](https://github.com/tauri-apps/plugins-workspace/releases)
- [Commits](https://github.com/tauri-apps/plugins-workspace/compare/log-v2.6.0...log-v2.7.1)

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 2026-05-17 18:07:53 -04:00
dependabot[bot] 98e7eeda42 chore(deps): bump ruvector-core from 2.0.5 to 2.2.0 in /v2 (#479) 
Bumps [ruvector-core](https://github.com/ruvnet/ruvector) from 2.0.5 to 2.2.0.
- [Release notes](https://github.com/ruvnet/ruvector/releases)
- [Changelog](https://github.com/ruvnet/RuVector/blob/main/CHANGELOG.md)
- [Commits](https://github.com/ruvnet/ruvector/compare/v2.0.5...v2.2.0)

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 2026-05-17 18:07:37 -04:00
dependabot[bot] 5615edb24e chore(deps): bump ruvector-temporal-tensor from 2.0.4 to 2.0.6 in /v2 (#476) 
Bumps [ruvector-temporal-tensor](https://github.com/ruvnet/ruvector) from 2.0.4 to 2.0.6.
- [Release notes](https://github.com/ruvnet/ruvector/releases)
- [Changelog](https://github.com/ruvnet/RuVector/blob/main/CHANGELOG.md)
- [Commits](https://github.com/ruvnet/ruvector/commits)

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 2026-05-17 18:07:33 -04:00
Chaitanya Tata f853c74563 v2: pin Rust 1.89 and fix sensing-server UI path when run from v2 (#523) 
* v2: pin Rust 1.89 for sensing-server dependency chain

ruvector-core 2.0.5, hnsw_rs 0.3.4, and mmap-rs 0.7 require newer Cargo/rustc
than 1.82 (edition2024 manifest, is_multiple_of, stable avx512f target_feature
on x86_64). Add v2/rust-toolchain.toml so cargo build -p
wifi-densepose-sensing-server picks a compatible toolchain.

Signed-off-by: Chaitanya Tata <chaitanya@dotstarconsulting.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

* sensing-server: default UI path for cwd v2/ and coalesce fallbacks

The previous default ../../ui resolves to a non-existent directory when
the binary is run from v2/ (common), so /ui/* returned 404 and the
dashboard appeared broken. Default to ../ui and try ../ui, ./ui,
../../ui when the configured path is missing.

Signed-off-by: Chaitanya Tata <chaitanya@dotstarconsulting.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Signed-off-by: Chaitanya Tata <chaitanya@dotstarconsulting.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
 2026-05-17 18:00:36 -04:00
Timothy Schwarz 8b297dd706 fix(sensing-server): handle WebSocket Lagged + add ping keepalive (#484) 
Root cause: broadcast channel Lagged error caused instant disconnect
when clients fell behind 256 frames (10Hz * 50-200KB = easy to lag).
Client reconnects, immediately lags again, rapid cycling ensues.

Sensing handler: Lagged error now continues (skips missed frames)
instead of breaking. Added 30s ping interval for proxy keepalive.
Pose handler: same Lagged handling + Pong match arm.

CHANGELOG updated under Unreleased/Fixed.

Co-authored-by: Deploy Bot <deploy@example.com>
 2026-05-17 17:57:02 -04:00
@aaronjmars 3685d16a49 fix(security): host-header allowlist on sensing-server HTTP + WS — DNS rebinding (#580) 
The sensing-server binds to 127.0.0.1 by default with no `Host` header
validation on either router. A foreign page can lower its DNS TTL,
re-resolve to 127.0.0.1 after the browser has accepted the origin, and
then read live pose + vital signs from /api/v1/* + /ws/sensing as
same-origin against the attacker's hostname. When `RUVIEW_API_TOKEN` is
unset (the documented LAN-mode default from #443/#547) the attacker
can also drive state-mutating POSTs (recording/start, models/load,
adaptive/train, calibration/start, sona/activate).

Defense: a small `host_validation` axum middleware that pins the `Host`
header to a configurable allowlist. The loopback names (`localhost`,
`127.0.0.1`, `[::1]`, each with or without a port) are always in the
set, so default 127.0.0.1 deployments keep working from the local
browser without any configuration change. Operators who bind to a
routable address extend the set with one or more `--allowed-host`
flags or a comma-separated `SENSING_ALLOWED_HOSTS` env var.
Reverse-proxy deployments that already canonicalise `Host` opt out
with `--disable-host-validation`.

The layer is wired into both the dedicated WebSocket router on
`--ws-port` (8765) and the main HTTP router on `--http-port` (8080),
so /ws/sensing on either listener is covered. Rejection responses are
`421 Misdirected Request` (the correct status for a request that
arrived at a server that does not consider the supplied `Host`
authoritative); missing `Host` is `400 Bad Request`.

CWE-346 (Origin Validation Error), CWE-350 (Reliance on Reverse DNS).
Severity: high.

Tests: 13 new unit tests on the middleware (loopback defaults,
case-insensitivity, IPv6 bracketing, port stripping, env-var/CLI
merge, foreign-host rejection on /health + /ws/*, disabled-allowlist
escape hatch). Full suite: 220/220 pass under
`cargo test -p wifi-densepose-sensing-server --no-default-features`.

Co-authored-by: Aeon <aeon@aaronjmars.com>
 2026-05-17 17:27:00 -04:00
Akhilesh Arora 10684972d7 fix(vital_signs): use circular variance for wrapped phases (#595) 
process_frame computed arithmetic mean + variance on phase values from
atan2(), which are wrapped to (-pi, pi]. Phases close across the +/-pi
discontinuity produced ~pi^2 variance instead of ~1e-6, feeding wrap
noise into the heart-rate FFT buffer.

Replace inline math with a standard circular variance helper
(1 - mean resultant length). Add 4 unit tests, one through the
production path of process_frame.

Closes #593
 2026-05-17 17:02:53 -04:00
ruv ca97527646 feat(introspection): I6 — regime-changed signal + per-frame analyze + honest ADR-099 D8 amendment 
Three threads in this commit:

1) Per-frame attractor analysis (default analyze_every_n: 8 → 1).
   The I5 benchmark put per-frame update at 0.012 ms p99 — 83× under D4's
   1 ms budget. The cost case for the every-8th-frame default doesn't hold;
   per-frame analysis is what makes regime_changed a viable early-detection
   trigger.

2) New `regime_changed: bool` field in IntrospectionSnapshot — flips on any
   frame whose attractor regime classification differs from the previous
   frame's. Pairs with top_k_similarity (full-shape match) to give
   downstream consumers two latencies with different robustness profiles.

3) Honest amendment of ADR-099 D8 to reflect empirical reality:
   - L1 stand-in achieves 3.20× ratio (5-frame shape match vs 16-frame
     event-path floor); the 10× aspirational bar is architecturally
     unreachable at 1-D scalar feature resolution.
   - regime_changed didn't fire in the 10-frame motion window — the
     200-frame noise trajectory dominates the Lyapunov classification, and
     short perturbations don't shift the regime fast enough on a scalar
     feature.
   - Path to 10×: ADR-208 Phase 2 (Hailo NPU vec128 embeddings) — multi-dim
     partial matches discriminate from noise in 1-2 frames, not 5.
   - Side finding: midstream temporal-compare::DTW uses *discrete equality*
     cost (designed for LLM tokens), not numeric distance — swapping it in
     for f64 amplitude scoring would be strictly worse than the L1 stand-in.
     A numeric DTW is a separate concern (hand-roll or new crate).
   - Revised D8: ship behind --introspection (off by default) until multi-
     dim features land. Per-frame update budget IS met (0.041 ms p99 in this
     bench, ~24× under the 1 ms bar) — the feature is cheap enough to
     carry dark today.

cargo test -p wifi-densepose-sensing-server --no-default-features:
  introspection (lib): 8 passed, 0 failed
  introspection_latency (test): 5 passed, 0 failed (incl. new
                                 regime_change_path_latency)
clippy: clean on the introspection surface (pre-existing approx_constant
        lints in pose.rs / main.rs unchanged).

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-13 23:29:37 -04:00
ruv 59d2d0e54f test(sensing-server): ADR-099 latency benchmark — record empirical baseline 
I5. Measures the architectural latency floor of the introspection path
vs. the window-aggregated event path, plus the per-frame update cost.

  Result on this run:
    ADR-099 D8 floor ratio    : 3.20× (16 frames / 5 frames)
                                D8 target ≥10× — NOT YET MET on the host-side
                                L1 stand-in scoring; I6 closes the gap.
    ADR-099 D4 update p50/p99 : 0.001 ms / 0.012 ms (~83× under the 1 ms
                                budget on a desktop runner; even with thermal
                                throttling on a Pi 5 we have orders of
                                magnitude of headroom).
    Regime after 200 frames   : Idle, lyapunov=-2.32, confidence=1.0
                                (attractor analyzer is firing as designed).

The D8 gap is structural to the current scoring: signature_score() uses a
length-normalised L1 over the trailing window, which requires roughly the
full signature length of in-shape frames before crossing
promotion_threshold. Closing it is the I6 work — swap in the real
midstreamer-temporal-compare DTW (partial-match scoring) and/or surface
the attractor's regime-change as an *earlier* trigger than full signature
match.

The latency-ratio test asserts a regression bar (≥3.0×) on the L1 baseline,
prints the D8 ratio + whether it's met, and explicitly defers the ≥10×
target to I6 in the docstring. Better empirical reporting than a flag that
silently fails until tuned.

ESP32 sanity (independent of the benchmark): COM7 device alive at csi_collector
cb #84500 (~30 min uptime), len=128/256 HT20/HT40, ch5, RSSI swings -44 to
-79 (= real motion in the room). UDP target still unreachable from this
host per the earlier diagnosis; that's a deployment fix, not a measurement
gate.

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-13 23:18:10 -04:00
ruv 4a1f3a1e10 feat(sensing-server): wire ADR-099 introspection tap + /ws/introspection + /api/v1/introspection/snapshot 
I3 (per ADR-099). Three changes in main.rs:

1) AppStateInner: + intro: IntrospectionState + intro_tx: broadcast::Sender<String>
   (256-slot ring, same shape as the existing tx).

2) ESP32 frame path: after the global frame_history push, before the
   per-node mutable borrow of s.node_states, compute the per-frame derived
   feature (mean amplitude across subcarriers), call s.intro.update(ts_ns,
   feature), and broadcast the snapshot JSON to s.intro_tx. Placement is
   deliberate — between the global state's mutable touch and the per-node
   &mut so borrow-checking stays linear; ns is borrowed *after* the tap
   completes its s.intro / s.intro_tx access.

3) Routes:
     ws_introspection_handler   → /ws/introspection
     api_introspection_snapshot → /api/v1/introspection/snapshot
   Same Axum + tokio::sync::broadcast pattern as ws_sensing_handler,
   subscribed against s.intro_tx. Wrapped by the bearer-auth middleware
   already on /api/v1/* — orchestrator probes and unauthenticated /ws/sensing
   reachers continue to land on the existing topic.

Verified:
  cargo build -p wifi-densepose-sensing-server --no-default-features ✓
  cargo test  -p wifi-densepose-sensing-server --no-default-features
    lib:           207 passed, 0 failed (199 pre-tap + 8 introspection)
    integration suites: 70, 8, 16, 18 passed, 0 failed
  cargo clippy: clean on the introspection surface (pre-existing warnings
                on -core / -ruvector / -signal unchanged).

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-05-13 23:00:31 -04:00