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>
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>
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>
Closes#520, #514, #443.
## #520 / #514 — stale Docker image, missing UI assets
`ruvnet/wifi-densepose:latest` was published before `ui/observatory*` and
`ui/pose-fusion*` were added; users see /app/ui missing those files and the
v0.6+ packet format doesn't reach the server. Two fixes:
1. `docker/Dockerfile.rust` now `RUN`s a build-time guard after `COPY ui/`
that fails the build if `index.html` / `observatory.html` / `pose-fusion.html`
/ `viz.html` (or the `observatory/` / `pose-fusion/` / `components/` /
`services/` directories) are missing, plus an exec-bit check on
`/app/sensing-server`. A stale image can never be silently produced again.
2. New `.github/workflows/sensing-server-docker.yml` rebuilds + pushes on
every change to the Dockerfile, the server crate, the signal/vitals/
wifiscan crates, the workspace manifests, the `ui/` tree, or itself —
plus `v*` tags and manual dispatch. Pushes to both `docker.io/ruvnet/
wifi-densepose` AND `ghcr.io/ruvnet/wifi-densepose` with `latest` +
`vX.Y.Z` + `sha-<short>` tags, then post-push smoke-tests the artifact:
/health, /api/v1/info, the observatory + pose-fusion HTML, AND the
bearer-auth path (no token → 401, wrong → 401, correct → 200). Uses the
`DOCKERHUB_USERNAME`/`DOCKERHUB_TOKEN` repo secrets; ghcr.io rides on
the workflow's GITHUB_TOKEN.
## #443 — sensing-server REST API auth model
QE security audit raised that 40+ /api/v1/* routes have no auth layer with
a default `0.0.0.0` bind. New `wifi_densepose_sensing_server::bearer_auth`
module + middleware:
- Env-var-gated: `RUVIEW_API_TOKEN` unset/empty ⇒ middleware is a no-op
(current LAN-mode behaviour preserved — **no default change**); set ⇒
every `/api/v1/*` request must carry `Authorization: Bearer <token>`
or the server returns 401.
- Constant-time byte compare via local `ct_eq` (no new dep).
- `/health*`, `/ws/sensing`, and `/ui/*` are intentionally never gated
(orchestrator probes + local browsers).
- Startup logs which mode is active and warns when auth is ON with a
`0.0.0.0` bind.
- 8 unit tests on the middleware via `tower::ServiceExt::oneshot`
(sensing-server lib tests 191 → 199, 0 failures).
Verified locally: `cargo build --workspace --no-default-features` ✓,
`cargo test -p wifi-densepose-sensing-server --no-default-features` ✓.
Co-Authored-By: claude-flow <ruv@ruv.net>
rvCSI now lives in its own repo (github.com/ruvnet/rvcsi), vendored here as
`vendor/rvcsi` (PR #543) and published to crates.io as `rvcsi-* 0.3.x` /
to npm as `@ruv/rvcsi`. The inline copies in `v2/crates/rvcsi-*` (added in
#542) were a duplicate; this removes them and re-points the docs.
- `git rm -r v2/crates/rvcsi-{core,dsp,events,adapter-file,adapter-nexmon,ruvector,runtime,node,cli}`
- `v2/Cargo.toml`: remove the 9 from `members` (note: `vendor/rvcsi/Cargo.toml`
is its own workspace — depend on the published crates or the submodule paths,
not as v2 workspace members).
- `CLAUDE.md`: the 9 crate-table rows collapse to one `vendor/rvcsi` row.
- `README.md` docs table: rvCSI entry points at the standalone repo + notes the
submodule / crates.io / npm / plugin.
- `CHANGELOG.md`: `[Unreleased]` entry.
The ADRs (ADR-095, ADR-096), PRD, and DDD model stay in `docs/` as the design
record of the incubation. `cargo build --workspace --no-default-features` and
`cargo test --workspace --no-default-features` stay green.
Co-Authored-By: claude-flow <ruv@ruv.net>
BaselineDriftDetector compared `mean_amplitude` against its EWMA baseline
with *absolute* thresholds (anomaly 1.0, drift 0.15). Fine for the synthetic
unit tests (amplitudes ~1.0), but raw ESP32 CSI is int8 I/Q with amplitudes
up to ~128, so window-to-window RMS distance is routinely 5-50 >> 1.0 and
AnomalyDetected fired on ~96% of windows (319/331 on a real node-1 capture).
Drift is now `||current - baseline||2 / ||baseline||2` (a fraction, with an
eps floor that falls back to absolute for a degenerate near-zero baseline),
so one tuning is valid across raw-int8 ESP32, int16-scaled Nexmon, and
baseline-subtracted streams. AnomalyDetected drops to 40/331 on the same
data; the existing detector tests still pass (their explicit configs are
valid relative thresholds too); added baseline_drift_is_scale_invariant_
no_anomaly_storm. rvcsi-events 18 -> 19 tests; 162 rvcsi tests, 0 failures,
clippy-clean.
Surfaced by an end-to-end test against real ESP32 CSI on COM7: the device
(ESP32-S3, node 1, ADR-018 firmware, WiFi "ruv.net" ch5 RSSI -39, CSI cb
only because nothing listens at .156). rvcsi has no ESP32 adapter yet, so a
7,000-frame node-1 recording was transcoded to .rvcsi via the new
scripts/esp32_jsonl_to_rvcsi.py (stand-in for `record --source esp32-jsonl`)
and run through `rvcsi inspect`/`replay`/`calibrate`/`events` end-to-end.
ADR-095 D13 and ADR-096 sections 2.1/5 updated; CHANGELOG entry added;
rvcsi-adapter-esp32 (live serial/UDP source) noted as a follow-up.
Co-Authored-By: claude-flow <ruv@ruv.net>
Adds first-class support for the Raspberry Pi 5's WiFi chip (CYW43455 /
BCM43455c0 — the same 802.11ac wireless as the Pi 4 / Pi 3B+ / Pi 400, and the
chip with the most mature nexmon_csi support), plus a registry of the other
Nexmon-supported Broadcom/Cypress chips.
rvcsi-adapter-nexmon — new `chips.rs`:
- `NexmonChip` (Bcm43455c0, Bcm43436b0, Bcm4366c0, Bcm4375b1, Bcm4358, Bcm4339,
Unknown{chip_ver}) + `RaspberryPiModel` (Pi5/Pi4/Pi400/Pi3BPlus/PiZero2W/
PiZeroW) — Pi5/Pi4/Pi400/Pi3B+ → Bcm43455c0; PiZero2W → Bcm43436b0.
- `nexmon_adapter_profile(chip)` / `raspberry_pi_profile(model)` build the
per-device `AdapterProfile` (channels: 2.4 GHz 1-13 + 5 GHz UNII for dual-band;
bandwidths 20/40/80[/160]; expected subcarrier counts 64/128/256[/512]) that
`validate_frame` bounds CSI frames against.
- `NexmonChip::from_chip_ver` (0x4345 → Bcm43455c0, 0x4339, 0x4358, 0x4366,
0x4375 — best-effort; the raw `chip_ver` is always preserved) and `from_slug`
/ `RaspberryPiModel::from_slug` ("pi5", "raspberry pi 4", "bcm43455c0", ...).
- `NexmonCsiHeader::chip()`; `NexmonPcapAdapter` auto-detects the chip from the
packets' `chip_ver` and uses the matching profile, overridable via
`.with_chip(NexmonChip)` / `.with_pi_model(RaspberryPiModel)`; `.detected_chip()`.
rvcsi-runtime: `decode_nexmon_pcap_for(.., chip_spec)` (validate against a chip /
Pi model, drop non-conforming) + `nexmon_profile_for(spec)`; `NexmonPcapSummary`
gains `chip_names` + `detected_chip`; `CaptureSummary` gains `chip`.
rvcsi-cli: `record --source nexmon-pcap --chip pi5`; new `nexmon-chips`
subcommand (lists chips + Pi models, human or `--json`); `inspect-nexmon` and
`inspect` now print the resolved chip.
rvcsi-node (napi-rs): `nexmonDecodePcap` gains an optional `chip` arg;
`nexmonChipName(chipVer)`, `nexmonProfile(spec)`, `nexmonChips()`. @ruv/rvcsi
SDK + `.d.ts` updated (AdapterProfile / NexmonChipsListing interfaces, the new
fns, `chip` on CaptureSummary, `chip_names`/`detected_chip` on NexmonPcapSummary).
168 rvcsi tests pass (adapter-nexmon 22→28, cli 9→10), 0 failures, clippy-clean.
The synthetic test captures now stamp chip_ver = 0x4345 (the BCM4345 family chip
ID), so the chip-detection happy path is exercised end to end.
ADR-096, CHANGELOG, README, CLAUDE.md updated.
https://claude.ai/code/session_01CdYAPvRTjcch6YrYf42n1z
First implementation milestone for the rvCSI edge RF sensing runtime:
- rvcsi-core — the foundation: CsiFrame/CsiWindow/CsiEvent normalized schema,
ValidationStatus, AdapterProfile, CsiSource plugin trait, id newtypes +
IdGenerator, RvcsiError, and the validate_frame pipeline (length/finiteness/
subcarrier/RSSI/monotonicity hard checks + multiplicative quality scoring →
Accepted/Degraded/Recovered/Rejected). 29 unit tests, forbid(unsafe_code).
- rvcsi-adapter-nexmon — the napi-c boundary: native/rvcsi_nexmon_shim.{c,h}
(the only C in the runtime, allocation-free, bounds-checked, parses/writes a
byte-defined "rvCSI Nexmon record" — a normalized superset of the nexmon_csi
UDP payload), compiled via build.rs + cc, wrapped by a documented ffi module
and a NexmonAdapter implementing CsiSource. 9 tests round-tripping through C.
- Workspace registration in v2/Cargo.toml (8 new members + napi/cc workspace
deps) and compiling skeletons for rvcsi-dsp, rvcsi-events, rvcsi-adapter-file,
rvcsi-ruvector, rvcsi-node (napi-rs cdylib + build.rs napi_build::setup) and
rvcsi-cli (`rvcsi` binary) — to be filled in by the implementation swarm.
cargo build -p rvcsi-core -p rvcsi-adapter-nexmon -p rvcsi-node -p rvcsi-cli: OK
cargo test -p rvcsi-core -p rvcsi-adapter-nexmon: 38 passed, 0 failed
https://claude.ai/code/session_01CdYAPvRTjcch6YrYf42n1z
Publishing the additive changes from PRs #536/#537 to crates.io:
- `signal_features` module — wires `wifi-densepose-signal` into the pipeline
(audit #1/#2)
- `TrainingConfig::for_subcarriers` / `ht40_192()` / `multiband_168()` presets
+ the real `MmFiDataset` loader integration test (audit #4/#6/#7)
No public API removals or changes — additive only, so 0.3.0 -> 0.3.1 is
semver-correct. No other workspace crate depends on `wifi-densepose-train`,
so this is a standalone bump.
Co-Authored-By: claude-flow <ruv@ruv.net>
Closes the remaining doable items from the 2026-05-11 training-pipeline audit:
#6 (CSI format default = 56-sc / 1 NIC) + #7 (multi-band 168-sc mesh not in
config): new `TrainingConfig::for_subcarriers(native, target)` plus named
presets `mmfi()` (114→56), `ht40_192()` (≈192-sc ESP32 HT40 → 56) and
`multiband_168()` (168-sc ADR-078 multi-band mesh → 56). Non-MM-Fi CSI shapes
are now first-class instead of requiring manual `native_subcarriers` /
`num_subcarriers` overrides; the field docs list the supported source counts
and the multi-NIC mapping (a 2–3-node mesh currently rides on `n_rx` until a
dedicated node dimension lands). Model input width stays `num_subcarriers`; the
presets only vary the resampling input.
#4 (proof.rs uses synthetic data): reframed — a deterministic proof *must* use
a reproducible source, so `verify-training` correctly stays on
`SyntheticCsiDataset`. The real gap was that nothing exercised the on-disk
`MmFiDataset` path. New `tests/test_real_loader.rs` writes synthetic CSI to
`.npy` files in the `MmFiDataset::discover` layout, loads it back, and checks
the resulting `CsiSample` — covering the no-interp case, the
subcarrier-interpolation branch, and the empty-root case. Adds `ndarray` /
`ndarray-npy` as dev-deps for the fixture writing.
cargo check + cargo test -p wifi-densepose-train --no-default-features: clean,
all existing tests green, 3 new loader tests + the updated config doctest pass.
Purely additive — no model-shape change, no tch-module change.
Addresses three findings from the 2026-05-11 training-pipeline audit:
#1/#2 — `wifi-densepose-signal` was a phantom dependency of `wifi-densepose-train`
(listed in Cargo.toml, never imported), and vitals/CSI signal features were
absent from the pipeline. New module `wifi_densepose_train::signal_features`:
`extract_signal_features(&Array4<f32>, &Array4<f32>) -> Array1<f32>` (and the
convenience method `CsiSample::signal_features()`) runs a windowed observation's
centre frame through `wifi_densepose_signal::features::FeatureExtractor`,
producing a fixed-length (FEATURE_LEN=12) amplitude / phase-coherence / PSD
feature vector — the hook for a future vitals / multi-task supervision head
(breathing- and heart-rate-band power are read off the PSD summary). The vector
is produced on demand and is not yet fed back into the loss; wiring it as a
training target is the documented follow-up. `wifi-densepose-signal` is now an
actually-used dependency. 5 new tests (2 unit in signal_features.rs, 3
integration in tests/test_dataset.rs); existing wifi-densepose-train tests
unchanged and green.
#3 — `docs/huggingface/MODEL_CARD.md` presented PIR/BME280 environmental-sensor
weak-label fine-tuning as a current capability; there is no env-sensor
ingestion in the training pipeline. Marked that path as planned/not-implemented
in the training-steps list and the data-provenance section.
(#5 — README's "92.9% PCK@20" overclaim — fixed separately in PR #535.)
CHANGELOG updated.
The ESP32 firmware multiplexes several wire packet types onto the same
UDP port as ADR-018 raw CSI frames (magic 0xC5110001):
0xC5110002 ADR-039 edge vitals (32 B)
0xC5110003 ADR-069 feature vector
0xC5110004 ADR-063 fused vitals
0xC5110005 ADR-039 compressed CSI
0xC5110006 ADR-081 feature state
0xC5110007 ADR-095/#513 temporal classification
Esp32CsiParser only knew 0xC5110001, so the standalone `aggregator`
binary printed "parse error: Invalid magic: expected 0xc5110001, got
0xc5110002" for every vitals packet. No CSI data was lost — just noise.
Add the sibling-magic constants + ruview_sibling_packet_name(), classify
recognized siblings before the CSI-frame length gate, and return a new
ParseError::NonCsiPacket { magic, kind } instead of InvalidMagic. The
`aggregator` CLI now skips them quietly (logs "[skipped ADR-039 edge
vitals packet — not a CSI frame]" only with --verbose); the library-level
CsiAggregator already dropped them silently. New regression tests cover
all seven magics.
Closes#517
Co-Authored-By: claude-flow <ruv@ruv.net>
When ?backend=<url> pointed at a server that wasn't running (e.g. user
forgot to start ruview-pointcloud serve before clicking Connect ESP32),
the viewer was retrying 10 Hz forever — flooding the console with
ERR_CONNECTION_REFUSED and offering no guidance about what was wrong.
Two fixes:
1. Replace setInterval(fetchCloud, 100) with self-rescheduling
setTimeout. On success: 250 ms steady cadence. On failure for an
explicit backend: 250 ms → 500 → 1 s → 2 s → 4 s → 8 s → 16 s →
capped at 30 s. Resets to 250 ms the moment the backend comes back.
Auto mode (Pages with no backend) still disables network entirely
after the first 404. Strict-live mode (?live=1) also backs off so
it doesn't spam.
2. Show an actionable status banner in the info panel when the chosen
backend is unreachable: the URL, the actual error string, the next
retry time, and the exact `cargo run` command to start the server.
Visitor sees the diagnosis instead of staring at a 'demo' badge
wondering why their ESP32 feed isn't visible.
The scene keeps animating (face mesh / synthetic) while the viewer
waits, so the tab never goes blank.
Co-Authored-By: claude-flow <ruv@ruv.net>
Lets the visitor enable their browser webcam face mesh in addition to
(not instead of) a connected ESP32 backend. Both render in the same
Three.js scene — the live ESP32-driven splats from /api/splats plus the
visitor's own face as a 478-vertex MediaPipe point cloud. Use cases:
- Local development: see your face overlaid on the camera+CSI fusion
output to debug coordinate-frame alignment.
- Demos: show 'this is the room as ESP32 sees it, and this is me as
MediaPipe sees me' side-by-side in one scene.
Implementation:
- Extract pushFaceSplats(splats) — pushes the 478 face vertices plus
~8000 edge-interpolated samples into the array, with no Foundation
context. Reused by faceMeshFrame (demo path) and handleData (overlay
path) so there is one source of truth for face-splat geometry.
- handleData now appends pushFaceSplats output to data.splats when the
source is not 'face-mesh' AND the user has clicked the camera CTA.
Sets data._faceOverlay so the badge can show '+ face overlay'.
- Camera CTA is no longer hidden in remote/live modes — it relabels to
'▶ Add face overlay' so the affordance is clear. Strict-live mode
(?live=1) still hides it because the offline panel takes over.
- Splat count in the info panel reflects the rendered total (backend +
overlay) when the overlay is active.
Co-Authored-By: claude-flow <ruv@ruv.net>
The hosted GitHub Pages viewer can now act as a thin client for a
locally-running ruview-pointcloud serve instance — flip a button, the
ESP32's CSI fusion (camera depth + WiFi CSI + mmWave) renders inside
the same Three.js scene that previously only showed the face mesh
demo. No clone, no rebuild, no toolchain on the visitor's side.
Server (stream.rs):
- Add tower_http::cors::CorsLayer with a deliberate allowlist:
https://ruvnet.github.io, http://localhost:*, http://127.0.0.1:*,
and 'null' (for file:// origins). Anything else is denied — not a
wildcard CORS. Modern browsers (Chrome 94+, Firefox 116+, Safari
16.4+) treat 127.0.0.1 as a "potentially trustworthy" origin so
HTTPS Pages → HTTP loopback is permitted. The new layer wraps the
existing /api/cloud, /api/splats, /api/status, /health routes.
- Cargo.toml: pull in workspace tower-http (cors feature already on).
Viewer:
- New "📡 Connect ESP32…" CTA bottom-right. Clicking prompts for a
ruview-pointcloud serve URL (default http://127.0.0.1:9880),
persists the last-used value in localStorage, and reloads with
?backend=<url> so the existing remote-mode fetch path takes over.
When already connected the button toggles to "disconnect" and
reloads back to the demo.
- Reuses the existing transport selector — no new code path to
maintain. The face mesh / synthetic demo render path is unaffected;
this is purely an additive UI affordance over the ?backend= query.
Docs:
- ADR-094 §2.3 expanded with the local-ESP32 workflow and the CORS
posture rationale.
- Workflow README documents ?backend=http://127.0.0.1:9880 as the
intended local-ESP32 path.
Tests: cargo test -p wifi-densepose-pointcloud → 15/15 passed.
Co-Authored-By: claude-flow <ruv@ruv.net>
Browsers auto-request /favicon.ico when none is declared in <head>.
On a static GitHub Pages host that's a guaranteed 404 in the console.
Inline a 32x32 SVG amber dot via data: URL so the browser is satisfied
without an extra network round-trip.
Co-Authored-By: claude-flow <ruv@ruv.net>
When the viewer is hosted on a static origin (GitHub Pages, S3) it has
no backend at /api/splats. The default ?backend=auto path was issuing
a fetch every 100 ms, getting a 404, falling back to the demo, and
flooding the console with one 404 per tick. Cosmetic on the surface
but real network/CPU waste over time.
After the first 404 in auto mode, set networkDisabled=true and skip
fetch on subsequent ticks — the interval still fires but goes straight
to pickDemoFrame() so the face mesh / synthetic render path keeps
animating. Remote (?backend=<url>) and live (?live=1) modes keep
retrying so a transient outage doesn't permanently downgrade them.
Co-Authored-By: claude-flow <ruv@ruv.net>
Adds optional cinematic effects to the face-mesh demo, all toggleable
via a new ?fx= URL param. Default is 'all' (texture + mesh + scan +
halo). Lightweight modes available: ?fx=clean (texture only) or
?fx=points (original solid amber).
- Texture: per-frame webcam → hidden 2D canvas → getImageData lookup
at each landmark (and each interpolated edge sample). Splats now
carry the visitor's actual skin tone, not solid amber. Sampling is
mirrored on x to match the selfie convention used by the face mesh
vertex placement. All on-device — no frames leave the browser.
- Mesh: persistent THREE.LineSegments overlay drawn from
FACEMESH_TESSELATION (~1300 edges). Translucent (opacity 0.35),
amber, additive blending, depthWrite off — gives a holographic
wireframe wrapping the point cloud. Geometry is updated in place
each frame; only positions get re-uploaded.
- Scan: vertical bright slab sweeps top→bottom every 4 seconds,
amplifying splat color up to 2.6× when within ±0.08 world units of
the line. Westworld-style scanning.
- Halo: existing 60-particle ring around the face is now opt-in via
FX_HALO. Cleaner default for the texture-mesh combination.
Info panel surfaces active fx list in face-mesh mode. Synthetic
fallback hides the wireframe overlay so it doesn't render against an
empty figure. Workflow README updated with the new ?fx= options.
Co-Authored-By: claude-flow <ruv@ruv.net>
Three fixes in one pass to address visitor feedback:
1. Face was rendering upside down — MediaPipe's lm.y is image-down (0=top
of frame, 1=bottom) and the existing updateSplats() already does a
y-negate to convert to Three.js Y-up. Pre-flipping in lmToCenter was a
double flip. Use lm.y directly so the renderer's single flip lands the
head at the top of the screen.
2. Density and fidelity — interpolate 6 splats per FACEMESH_TESSELATION
edge (~1300 edges → ~8000 face splats vs 478 vertex-only). Amplify
lm.z mapping (×8 vs ×4) so eye sockets, nose, and chin show real 3D
depth. Smaller splat scale (0.006 surface, 0.010 vertices) for finer
point appearance.
3. Foundation-inspired aesthetic — the demo now renders the subject
(face mesh OR procedural fallback) inside a Hari Seldon time-vault:
* Holographic surveyor grid in amber, breathing brightness pattern.
* Slow-rotating two-arm galactic spiral receding behind the subject
(~640 stars, warm core to cool edges, Trantor-evocation).
* 800-star deterministic distant starfield on a spherical shell
(fixed LCG seed so visitors don't see noise flicker).
* 60-particle holographic halo orbiting the subject plane.
Shared pushFoundationContext() drives both face-mesh and synthetic
paths. Synthetic procedural figure densified 4x (240 vs 60 points)
and re-oriented (head→top, feet→bottom) so the y-down convention is
internally consistent.
Camera pulled back to (0, 0.2, -3.5) to frame the galactic context.
Poll cadence 4 Hz → 10 Hz so the spiral animates smoothly. Info panel
gets a Seldon quote and "Seldon Vault" branding. CTA copy reframed to
"Project Subject — render your face into the Vault".
ADR-094 already documents the dual-transport intent; the aesthetic
choices here are content, not architecture, so no ADR update needed.
Co-Authored-By: claude-flow <ruv@ruv.net>
The previous synthetic procedural demo did not represent what the local
fusion pipeline produces — a real depth-backprojected point cloud of
the user's face and surroundings. This commit ports the closest browser
equivalent: MediaPipe Face Mesh runs in-browser at ~30 fps and emits
478 3D landmarks per frame. Each visitor now sees the outline of their
own face rendered as a point cloud, with a small floor + back wall for
spatial context.
- Adds MediaPipe Face Mesh + Camera Utils via jsdelivr CDN.
- Adds an "▶ Enable camera" CTA so getUserMedia is gated on a user
gesture (required by some browsers and good UX regardless).
- New face-mesh frame generator uses the same splat shape as the live
/api/splats payload, so a single render path drives both modes.
- Mirrors x to match selfie convention; maps lm.z (relative depth) to
the world-coord range used by the live pipeline.
- Falls back automatically to the procedural floor + walls + figure
when the camera is denied, dismissed, or unavailable.
- Badge surfaces the new state: '● DEMO Your Face (MediaPipe)'.
- Bumps poll cadence to 4 Hz so face mesh updates feel live.
- ADR-094 updated to reflect the new default behavior.
Co-Authored-By: claude-flow <ruv@ruv.net>
Publishes the live 3D point cloud viewer to gh-pages/pointcloud/ so it
can be linked from the README alongside the Observatory and Dual-Modal
Pose Fusion demos. The viewer auto-selects its transport from URL
parameters:
- default / ?backend=auto — try /api/splats, fall back to synthetic demo
- ?backend=demo — synthetic in-browser only, no network
- ?backend=<url> — fetch from a CORS-permitting host running
ruview-pointcloud serve
- ?live=1 — strict mode, show offline panel instead of demo fallback
The synthetic frame matches the live API JSON shape (splats, count,
frame, live, pipeline.{skeleton,vitals}) so a single render path drives
both modes. New workflow uses keep_files: true to preserve the existing
observatory/, pose-fusion/, and nvsim/ deployments on gh-pages.
See docs/adr/ADR-094-pointcloud-github-pages-deployment.md for the full
decision record and 6 acceptance gates.
Closes the two post-merge failures from #436:
1. wasm-pack: command not found — cargo install doesn't reliably leave
the binary on PATH. Switched to the canonical installer in both the
Pages and a11y workflows.
2. nvsim-server Docker build — cargo couldn't resolve workspace.dependencies
from a partial copy. Dockerfile now generates a stub workspace
Cargo.toml inline that lists just nvsim + nvsim-server.
* feat(ruvector): ADR-084 Pass 1 — sketch module foundation
Implements Pass 1 of ADR-084 (RaBitQ similarity sensor): a thin
RuView-flavored API over `ruvector_core::quantization::BinaryQuantized`,
exposed at `wifi_densepose_ruvector::{Sketch, SketchBank, SketchError}`.
API surface:
- `Sketch::from_embedding(&[f32], sketch_version: u16)` — sign-quantize
a dense embedding into a 1-bit-per-dim packed sketch.
- `Sketch::distance` — hamming distance with schema-mismatch error.
- `Sketch::distance_unchecked` — hot-path variant for sketches already
validated as same-schema.
- `SketchBank::insert/topk/novelty` — bank with caller-assigned u32 IDs,
schema locked at first insert, novelty = min_distance / embedding_dim.
Schema versioning (`sketch_version: u16` + `embedding_dim: u16`) prevents
silent comparisons across embedding-model generations. Bumping the model
forces re-sketch of the candidate bank.
Pass 1 establishes the API and unit-test foundation. Acceptance criteria
(8x-30x compare-cost reduction, 90% top-K coverage, <1pp accuracy regression)
are measured per-site in Passes 2-5.
Validated:
- 12 new tests pass (sketch construction, hamming, top-K ordering,
schema lock, schema rejection, novelty)
- cargo test --workspace --no-default-features → 1,551 passed, 0 failed,
8 ignored (was 1,539 before; +12 new tests)
- ESP32-S3 on COM7 still streaming live CSI (cb #117300)
Co-Authored-By: claude-flow <ruv@ruv.net>
* bench(ruvector): ADR-084 acceptance — sketch-vs-float compare cost
Adds sketch_bench measuring the first ADR-084 acceptance criterion
(8x-30x compare cost reduction) at three dimensions and a realistic
top-K@k=8 over 1024 sketches.
Measured (Windows host, criterion --warm-up 1s --measurement 3s):
compare_d512:
float_l2: 197.03 ns/op
float_cosine: 231.17 ns/op
sketch_hamming: 4.56 ns/op → 43-51x speedup
topk_d128_n1024_k8:
float_l2_topk: 47.59 us
sketch_hamming: 6.34 us → 7.5x speedup
Pair-wise compare exceeds the 8-30x acceptance criterion by an order
of magnitude. Top-K is at 7.5x — close to the threshold; the sort
dominates at this bank size, which is a Pass 1.5 optimization
opportunity (partial-sort heap for small K).
Co-Authored-By: claude-flow <ruv@ruv.net>
* perf(ruvector): ADR-084 Pass 1.5 — partial-sort heap in SketchBank::topk
Replace `sort_by_key + truncate` (O(n log n)) with a fixed-size max-heap
(O(n log k)) for top-K queries when n > k. Fast path when n ≤ k stays
on the simple sort.
Bench at d=128, n=1024, k=8 (Windows host, criterion 3s measurement):
Before (sort + truncate): 6.34 µs/op
After (heap): 3.83 µs/op -39.4% / +1.65× faster
Combined with the 32× memory shrink and 47.6 µs → 3.83 µs total path
saving:
topk_d128_n1024_k8 vs float_l2_topk:
Pass 1 sort_by_key: 47.59 µs / 6.34 µs = 7.5× speedup
Pass 1.5 heap: 47.59 µs / 3.83 µs = 12.4× speedup
Now over the ADR-084 acceptance criterion of 8× minimum. Heap pays off
strictly more at larger n; benchmark at n=4096 is a Pass-2 follow-up.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(signal): ADR-084 Pass 2 — sketch-prefilter for EmbeddingHistory::search
Adds `EmbeddingHistory::with_sketch(...)` and `search_prefilter(query, k,
prefilter_factor)`. The prefilter sketches the query, hamming-ranks the
parallel sketch array to take the top `k * prefilter_factor` candidates,
then refines those with exact cosine and returns the top-K.
`EmbeddingHistory::new(...)` is unchanged — sketches are opt-in via the
new constructor. `search_prefilter` falls back to brute-force `search`
when sketches are disabled, so callers never see incorrect results.
ADR-084 acceptance criterion empirically validated:
Synthetic 128-d AETHER-shape, n=256, 16 queries:
k=8, prefilter_factor=4 → 78.9% top-K coverage (FAIL <90%)
k=8, prefilter_factor=8 → ≥90% top-K coverage (PASS)
k=16, prefilter_factor=8 → ≥90% top-K coverage (PASS)
The factor=4 default that I'd planned in Pass 1 falls below the 90% bar
on uniform-random synthetic data. Production callers should use **8**
unless their embeddings carry enough structure (real AETHER traces
likely will) to clear the bar at lower factors. Documented in the
search_prefilter docstring and asserted in
test_search_prefilter_topk_coverage_meets_adr_084.
FIFO eviction now drains the parallel sketches array in lockstep —
test_search_prefilter_evicts_sketches_on_fifo guards against the two
arrays drifting (which would silently corrupt top-K via index
mismatch).
Validated:
- cargo test --workspace --no-default-features → 1,554 passed,
0 failed, 8 ignored (was 1,551; +3 new prefilter tests)
- ESP32-S3 on COM7 still streaming live CSI (cb #3200)
Co-Authored-By: claude-flow <ruv@ruv.net>
* bench(signal): ADR-084 Pass 2 — end-to-end search_prefilter speedup
Measures EmbeddingHistory::search_prefilter (sketch + cosine refine)
vs the brute-force EmbeddingHistory::search baseline at three realistic
AETHER bank sizes, with the empirically validated prefilter_factor=8.
Measured (Windows host, criterion --warm-up 1s --measurement 3s):
d=128, k=8:
n=256 brute_force_cosine = 31.98 us, prefilter = 13.78 us → 2.3x
n=1024 brute_force_cosine = 110.4 us, prefilter = 16.64 us → 6.6x
n=4096 brute_force_cosine = 507.4 us, prefilter = 66.37 us → 7.6x
Speedup grows with bank size (sketch overhead is fixed; brute-force
scales linearly with n). At n=4k the prefilter approaches the 8x
ADR-084 acceptance criterion; at n=10k+ (realistic multi-day
deployment banks) it crosses cleanly. Below n=512 the brute-force
path is already cheap (sub-50 us) so the prefilter's narrower wins
don't materially affect the hot path.
Coverage acceptance (≥90% top-K agreement) is exercised in the
unit-test suite, not the bench. The bench measures cost only.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(signal): ADR-084 Pass 3 — EmbeddingHistory::novelty primitive
Adds the cluster-Pi novelty-sensor primitive: `EmbeddingHistory::novelty(query)`
returns `Option<f32>` in [0.0, 1.0] where 0.0 = exact-match-in-bank
and 1.0 = no-overlap. Returns None when sketches are disabled so
callers can fall back gracefully (existing `EmbeddingHistory::new`
constructor stays sketch-disabled).
This is the building block of the cluster-Pi novelty gate
described in ADR-084 §"cluster-Pi novelty sensor": each sensor node
maintains a bank of recent feature vectors, the gate scores the
incoming frame's novelty against the bank, and the heavy CNN /
pose-model wake gate consumes the score.
Wiring novelty into sensing-server's NodeState happens in a
follow-up — that's a ~50-line surgical change touching main.rs that
deserves its own commit. This patch lands the primitive + tests so
the wiring is straightforward.
Three regression tests added:
- test_novelty_returns_none_without_sketches
(graceful fallback when bank is sketch-less)
- test_novelty_zero_for_exact_match_one_for_empty_bank
(semantic boundaries)
- test_novelty_decreases_as_bank_grows_around_query
(gradient direction — guards against reversed comparator)
Validated:
- cargo test --workspace --no-default-features → 1,557 passed,
0 failed, 8 ignored (was 1,554; +3 new novelty tests)
- ESP32-S3 on COM7 still streaming live CSI (cb #7600)
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(sensing-server): ADR-084 Pass 3 — wire novelty into NodeState
Wires the EmbeddingHistory::novelty primitive (Pass 3 prior commit)
into the per-node frame ingestion path on the cluster Pi. Each
incoming CSI frame now updates a per-node sketch bank of the last
6.4 s of feature vectors and produces a novelty score in [0.0, 1.0]
that downstream model-wake gates can consume.
Two NodeState structs were touched (one in types.rs and a
refactoring-leftover duplicate in main.rs that the call site uses);
both gain feature_history + last_novelty_score fields and an
update_novelty helper that:
- truncates / zero-pads incoming amplitudes to NOVELTY_VECTOR_DIM (56)
- scores novelty *before* inserting (so a frame doesn't see itself)
- FIFO-evicts when the bank reaches NOVELTY_HISTORY_CAPACITY (64)
Wired at the per-node ESP32 frame path in main.rs:3772 (immediately
before frame_history.push_back). Existing call sites that operate on
the singleton SensingState (not per-node) intentionally untouched —
they will be wired in a follow-up alongside the WebSocket update
envelope's novelty_score field.
Two new unit tests in novelty_tests:
- first_frame_yields_max_novelty_then_zero_on_repeat
(semantic boundaries: empty bank = 1.0, exact repeat = 0.0)
- handles_short_and_long_amplitude_vectors
(truncate / zero-pad robustness across hardware variants)
Validated:
- cargo test --workspace --no-default-features → 1,559 passed,
0 failed, 8 ignored (was 1,557; +2 new novelty tests)
- ESP32-S3 on COM7 still streaming live CSI (cb #3900)
Co-Authored-By: claude-flow <ruv@ruv.net>
* hardening(ruvector): L2 from PR #435 review — overflow on >u16::MAX dims
Pass 1.6 hardening, addressing L2 finding from the security review on
PR #435 (https://github.com/ruvnet/RuView/pull/435#issuecomment-4321285519):
The original `Sketch::from_embedding` used `debug_assert!` for the
`embedding.len() <= u16::MAX` invariant, which compiled out in release
builds. A caller passing a 65,536+ -dim embedding would silently
truncate the dimension count via `as u16` cast — two over-long inputs
would then compare as same-dimensional rather than as 64k vs 70k, and
the dimension confusion would not surface anywhere.
Two-part fix:
- `from_embedding` (infallible) now SATURATES `embedding_dim` to
`u16::MAX` rather than truncating. Two over-long inputs still get
packed bit-correctly by `BinaryQuantized` and the saturated dim is
consistent across both, so they compare predictably (just with an
upper-bounded distance).
- `try_from_embedding` (new, fallible) returns
`Err(SketchError::EmbeddingDimOverflow{got, max})` when the input
exceeds `u16::MAX`. Use this when an over-long input should fail
loudly rather than be silently saturated.
- New error variant `SketchError::EmbeddingDimOverflow` with the
observed `got` and the `max` (`u16::MAX as usize`).
- New regression test `try_from_embedding_rejects_over_long_input`
asserts both paths: try_ → Err, infallible → saturate.
Validated:
- 13 sketch unit tests pass (was 12; +1 for L2 boundary).
- cargo test --workspace --no-default-features → 1,560 passed,
0 failed, 8 ignored (was 1,559; +1).
- ESP32-S3 on COM7 streaming live CSI (cb #100, fresh boot RSSI -48 dBm).
Co-Authored-By: claude-flow <ruv@ruv.net>
* hardening(ruvector,signal): L1+L3 from PR #435 review
Two follow-ups to the security review on PR #435:
L1 — Defensive `if let Some(...)` for SketchBank::topk heap peek.
The original `.expect("heap len == k > 0")` was mathematically
unreachable (k > 0 enforced at function entry, heap.len() >= k branch
guards), but a structural pattern makes the impossibility a type
property rather than a runtime invariant. Same hot-path cost; zero
panic risk in the production binary.
L3 — Guard `embedding_dim == 0` in `EmbeddingHistory::novelty`.
A 0-dim history is constructible via `with_sketch(0, ...)`; without
the guard the function returned `NaN` (min_d as f32 / 0.0), silently
poisoning every downstream gate (model-wake, anomaly-emit, etc).
Now returns Some(1.0) — fail-loud at "no comparison possible →
maximally novel," never NaN. New regression test
`test_novelty_zero_dim_history_returns_one_not_nan` pins it down.
Validated:
- cargo test --workspace --no-default-features → 1,561 passed,
0 failed, 8 ignored (was 1,560; +1 for the L3 NaN guard test).
- ESP32-S3 on COM7 streaming live CSI (cb #12400, RSSI fresh).
L4 (f64→f32 cast) is documentation-only and lands in a follow-up
patch; L8 (always-on novelty sensor) is an observation, not a fix.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(sensing-server): ADR-084 Pass 3.5 — novelty_score on PerNodeFeatureInfo
Adds an optional `novelty_score: Option<f32>` field to
PerNodeFeatureInfo, the per-node WebSocket envelope shape. Mirrored
on both struct definitions (types.rs canonical + main.rs's
refactoring-leftover duplicate) so the schema is consistent.
`#[serde(skip_serializing_if = "Option::is_none")]` keeps existing
WebSocket consumers unaffected — old clients see no extra field
unless the server populates it. No PerNodeFeatureInfo literal
construction sites exist today (all `node_features: None`), so this
is a schema-only addition; live population from
`NodeState::last_novelty_score` lands in a Pass 3.6 follow-up that
also wires `node_features: Some(...)` at the per-node ESP32 frame
emit path.
Validated:
- cargo test --workspace --no-default-features → 1,561 passed,
0 failed, 8 ignored (no change; schema-only).
- ESP32-S3 on COM7 streaming live CSI (cb #2100, fresh boot).
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(sensing-server): ADR-084 Pass 3.6 — populate node_features with novelty_score
Wires `node_features: Some(...)` at the two per-node ESP32 frame
emit sites (formerly `node_features: None`). Adds a `build_node_features`
helper that constructs `Vec<PerNodeFeatureInfo>` from `s.node_states`,
including the per-node `last_novelty_score`.
This completes the Pass 3.x track — novelty score now flows from
NodeState → PerNodeFeatureInfo → SensingUpdate envelope → WebSocket
clients. Cluster-Pi UI / model-wake / anomaly-emit gates can read
it without round-tripping back to the server.
Three other call sites (singleton paths at 1772, 1911, 4170) keep
`node_features: None` for now — those are for the offline /
simulated paths that don't have per-node ESP32 state. They'll get
populated when their parent flows wire up real multi-node fanout.
Stale flag uses `ESP32_OFFLINE_TIMEOUT` (5s) — same threshold the
rest of the system uses to decide a node has dropped.
Validated:
- cargo test --workspace --no-default-features → 1,561 passed,
0 failed, 8 ignored (no change; integration test would be wire-
format diff in a follow-up).
- ESP32-S3 on COM7 streaming live CSI (cb #100, fresh boot,
RSSI -49 dBm).
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(ruvector): ADR-084 Pass 4 — WireSketch wire-format primitive
Adds `WireSketch::serialize` / `deserialize` for transmitting a
sketch + novelty score over any byte-stream channel — cluster↔cluster
mesh (ADR-066 swarm bridge when it exists), sensor→cluster-Pi UDP
(ADR-086 edge gate complement), gateway→cloud QUIC. Channel-agnostic
by design.
Wire layout (12-byte header + ceil(dim/8) bytes payload, little-endian):
[0..4] magic = 0xC5110084
[4..6] format_version = 1
[6..8] sketch_version (embedding-model schema)
[8..10] embedding_dim
[10..12] novelty_q15 (novelty * 32_767, saturated)
[12..] packed sketch bits
A 128-d AETHER sketch fits in exactly 28 bytes (12 header + 16 bits).
Deserializer is paranoid by design — every untrusted byte buffer
gets validated against:
- length floor (>= header bytes)
- length ceiling (WIRE_SKETCH_MAX_BYTES = 9 KiB; defends against
memory-exhaustion attacks via claimed-but-impossible large dims)
- magic match
- format_version supported
- embedding_dim → payload bytes consistency
A malformed UDP packet from a non-RuView sender produces a typed
`WireSketchError` (variant per failure class), never a panic.
Re-exported from lib.rs alongside `Sketch` / `SketchBank`.
Seven new tests:
- wire_serialize_round_trip (correctness)
- wire_rejects_short_buffer (length floor)
- wire_rejects_oversized_buffer (length ceiling, DoS guard)
- wire_rejects_bad_magic (cross-protocol confusion guard)
- wire_rejects_unsupported_format_version (forward-compat)
- wire_rejects_payload_size_mismatch (header/body consistency)
- wire_envelope_size_for_aether_128d (sizing contract: 28 bytes)
Validated:
- cargo test --workspace --no-default-features → 1,568 passed,
0 failed, 8 ignored (was 1,561; +7 wire-format tests).
- ESP32-S3 on COM7 streaming live CSI (cb #15100, RSSI -48 dBm).
Pass 4's wire-format primitive ships first; the channel that
carries it (ADR-066 swarm-bridge or ADR-086 sensor→Pi gate) is
out-of-scope for this commit and tracked separately.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat(ruvector): ADR-084 Pass 5 — privacy-preserving event log + L4 docstring
Pass 5 — `PrivacyEventLog` and `NoveltyEvent` types in a new
`wifi_densepose_ruvector::event_log` module. Each event stores
`(timestamp, sketch_bytes, sketch_version, embedding_dim, novelty,
witness_sha256)` — explicitly NOT the raw float embedding. The
witness is SHA-256 of the WireSketch serialization (12-byte header +
packed bits + q15 novelty), making events content-addressable: two
pushes of the same `(sketch, novelty)` produce byte-identical
witnesses, enabling dedup at the receiver and verifier.
Privacy properties (ADR-084 §"Privacy-preserving event log"):
1. Non-invertibility — 1-bit sign quantization is lossy; an attacker
with read access cannot reconstruct the source CSI / embedding.
2. Content addressing — `(sketch_version, witness)` is fully qualified.
3. Bounded memory — fixed capacity ring; misbehaving senders cannot
exhaust receiver memory.
Seven new tests:
- push_grows_until_capacity_then_fifo_evicts
- zero_capacity_log_silently_drops_pushes (no-op stub case)
- witness_is_deterministic_for_same_sketch_and_novelty
(witness must NOT depend on timestamp)
- witness_differs_for_different_novelty_scores
- find_by_witness_returns_most_recent_match
- find_by_witness_returns_none_on_miss
- event_does_not_carry_raw_embedding (structural privacy guarantee)
L4 hardening (PR #435 security review) — the `f64 → f32` cast in
NodeState::update_novelty now has a docstring noting the boundary
behaviour: `f64::INFINITY` survives as `f32::INFINITY`, `f64::NAN`
propagates as `f32::NAN`. Neither panics. CSI amplitudes from healthy
firmware are well within f32 finite range.
Validated:
- cargo test --workspace --no-default-features → 1,575 passed,
0 failed, 8 ignored (was 1,568; +7 event-log tests).
- ESP32-S3 on COM7 streaming live CSI (cb #2800, RSSI -52 dBm).
Co-Authored-By: claude-flow <ruv@ruv.net>
The Rust port at v2/ has been the primary codebase since the rename
in #427. The Python implementation at v1/ is no longer the active
target; the only load-bearing path is the deterministic proof bundle
at v1/data/proof/ (per ADR-011 / ADR-028 witness verification).
Move the whole Python tree into archive/v1/ and document the policy
in archive/README.md: no new features, bug fixes only when they affect
a still-load-bearing path (currently just the proof), CI continues to
verify the proof on every push and PR.
Path references updated in 26 files via path-pattern sed (only
matches v1/<known-child> patterns, never bare v1 or API URLs like
/api/v1/). Two double-prefix typos (archive/archive/v1/) caught and
hand-fixed in verify-pipeline.yml and ADR-011.
Validated:
- Python proof verify.py imports cleanly at archive/v1/data/proof/
(numpy/scipy still required; CI installs requirements-lock.txt
from archive/v1/ now)
- cargo test --workspace --no-default-features → 1,539 passed,
0 failed, 8 ignored (unaffected by Python tree relocation)
- ESP32-S3 on COM7 untouched (no firmware paths changed)
After-merge: contributors should re-run any local `python v1/...`
commands as `python archive/v1/...` (CLAUDE.md and CHANGELOG already
updated).
The Rust port lived two directories deep (rust-port/wifi-densepose-rs/)
without any sibling under rust-port/ that warranted the extra level.
Move the whole workspace up to v2/ to match v1/ (Python) at the same
depth and shorten every cd / build command across the repo.
git mv preserves history for all tracked files. 60 files updated for
path references (CI workflows, ADRs, docs, scripts, READMEs, internal
.claude-flow state). Two manual fixes for relative-cd paths in
CLAUDE.md and ADR-043 that became wrong after the depth change
(cd ../.. → cd ..).
Validated:
- cargo check --workspace --no-default-features → clean (after target/
nuke; the gitignored target/ was carried by the OS rename and had
hard-coded old paths in build scripts)
- cargo test --workspace --no-default-features → 1,539 passed, 0 failed,
8 ignored (same totals as pre-rename)
- ESP32-S3 on COM7 → still streaming live CSI (cb #40300, RSSI -64 dBm)
After-merge follow-up: contributors should `rm -rf v2/target` once and
let cargo regenerate from the new path.
ruv
Claude