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feat(adr-117): pip wifi-densepose modernization (PIP-PHOENIX) + ruview sibling release (#786)

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* docs(adr-117): seed branch — ADR-117 pip-modernization spec + soul-signature research bundle

Two artifacts landing together on this new branch as the prerequisite
documentation for the v2.0.0 Python wheel modernization work:

1. **docs/adr/ADR-117-pip-wifi-densepose-modernization.md** (644 lines)
   — Plan to bring the 2025-published `wifi-densepose` PyPI package
   (last release v1.1.0, 2025-06-07, 11.5 months out of sync) up to
   the current Rust v2/ workspace SOTA. Recommends PyO3 + maturin
   with abi3-py310 (one binary covers Python 3.10–3.13 per OS/arch),
   first-wheel scope = core + vitals + signal crates (~5 MB), v1.99.0
   tombstone + 90-day un-yank window for v1.1.0, v2.0.0 hard break.
   Open questions catalogued; phases P1–P6+ laid out with concrete
   acceptance criteria.

2. **docs/research/soul/** (5 files, ~1,450 lines) — Soul Signature
   research spec: 7-channel electromagnetic biometric fingerprint
   (AETHER 128-dim + cardiac HR/HRV + cardiac waveform morphology +
   respiratory pattern + gait timing + skeletal proportions +
   subcarrier reflection profile), fused into one RVF graph file.
   Includes 60s scanning protocol, 5-layer security model,
   threat-model + mitigations, references to existing ADRs (014,
   021, 024, 027, 030, 039, 079, 106, 108, 109, 110, 115). Marked
   "Research Specification (Pre-Implementation)". Explicit "what
   this is NOT" disclaimers preempt pseudoscience drift; every
   discriminative-power claim either cites a measurement or is
   marked "open research; baseline TBD".

Branch off main at HEAD; ready for /loop 10m implementation
iterations.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(adr-117/p1): scaffold python/ workspace — PyO3 + maturin + smoke tests (refs #785)

ADR-117 P1 — the python/ directory is now a working maturin-buildable
crate that produces the v2.x replacement for the legacy pure-Python
wifi-densepose==1.1.0 PyPI wheel.

## What lands

- `python/Cargo.toml` — PyO3 0.22 with `extension-module` + `abi3-py310`
  (one binary covers Python 3.10–3.13 per OS/arch — keeps the
  cibuildwheel matrix to 5 wheels per release, not 20). Depends on
  `wifi-densepose-core` from the existing v2/ workspace via relative
  path.

- `python/pyproject.toml` — maturin>=1.7 build backend with
  `python-source = "python"` and `module-name = "wifi_densepose._native"`
  so the compiled module loads as an internal underscore-private
  submodule of the user-facing `wifi_densepose` package. PEP 621
  metadata + classifiers + project URLs. Optional-deps:
  `wifi-densepose[client]` for the P4 WS/MQTT pure-Python layer,
  `wifi-densepose[dev]` for the test toolchain (pytest, ruff, mypy).

- `python/src/lib.rs` — minimal `#[pymodule] wifi_densepose_native`
  exporting `__rust_version__`, `__rust_build_tag__`,
  `__build_features__`, and a `hello()` smoke function. P2 will land
  the core type bindings here.

- `python/wifi_densepose/__init__.py` — pure-Python facade re-exporting
  the compiled module's symbols under their stable user-facing names.
  Docstring teaches the v1→v2 migration story up-front.

- `python/wifi_densepose/py.typed` — PEP 561 marker so `mypy --strict`
  in user code treats the wheel as fully typed (real stubs land in P2).

- `python/tests/test_smoke.py` — 6 P1 acceptance tests:
  1. package imports without error
  2. version string is PEP 440-compliant
  3. `__rust_version__` is reachable from Python (the diagnostic
     surface ADR-117 §5.2 promised)
  4. `__build_features__` lists `p1-scaffold` marker
  5. `wifi_densepose.hello()` returns "ok" (FFI round-trip)
  6. `wifi_densepose._native` is reachable but the leading underscore
     conveys "private; users should import the parent package"

- `python/README.md` — phase ledger, local build instructions
  (`maturin develop`), layout diagram.

## What's deferred to P2+

- Core type bindings (`CsiFrame`, `Keypoint`, `PoseEstimate`) — P2
- Vitals + signal DSP bindings + witness v2 — P3
- Pure-Python WS/MQTT client layer (`wifi_densepose[client]`) — P4
- cibuildwheel + PyPI publish — P5
- v1.99.0 tombstone — concurrent with P5

The new `python/` crate is intentionally OUTSIDE the v2/ Cargo
workspace — it has its own Cargo.toml with `[package]` not
`[workspace.package]` inheritance — to keep maturin's `python-source`
+ `module-name` config self-contained and to avoid forcing every
`cargo test --workspace` invocation in v2/ to compile pyo3.

Refs ADR-117 §5 (Detailed design) and §6 (Phased migration).
Refs #785 (tracking issue).

Co-Authored-By: claude-flow <ruv@ruv.net>

* fix(adr-117/p1): standalone Cargo.toml + python-source=. + #[pyo3(name=_native)] (P1 GREEN)

Three fixes to make maturin develop actually work locally:

1. `python/Cargo.toml` removed `*.workspace = true` inheritance —
   the python/ crate is intentionally outside the v2/ workspace
   (ADR-117 §5.2) so it needs every `[package]` field local.

2. `python/pyproject.toml` `python-source = "python"` was wrong
   because pyproject.toml lives at python/ — maturin was looking for
   python/python/. Changed to `python-source = "."` so the
   `wifi_densepose/` package directory sibling-to-pyproject is found.

3. `python/src/lib.rs` `#[pymodule] fn wifi_densepose_native` →
   `#[pymodule] #[pyo3(name = "_native")] fn wifi_densepose_native`.
   PyO3 generates `PyInit__native` from the pyo3-name attribute, which
   must match the `module-name` in pyproject.toml's [tool.maturin]
   block ("wifi_densepose._native"). Without this attribute the wheel
   builds but `import wifi_densepose._native` fails with
   ModuleNotFoundError.

## Local validation (P1 acceptance gate)

```
$ python -m venv .venv && .venv/Scripts/python -m pip install maturin pytest
$ VIRTUAL_ENV=… maturin develop --release
…
    Finished `release` profile [optimized] target(s)
📦 Built wheel for abi3 Python ≥ 3.10
🛠 Installed wifi-densepose-2.0.0a1

$ .venv/Scripts/python -c 'import wifi_densepose; print(wifi_densepose.__version__, wifi_densepose.__rust_version__, wifi_densepose.hello())'
2.0.0a1 2.0.0-alpha.1 ok

$ .venv/Scripts/python -m pytest tests/ -v
tests/test_smoke.py::test_package_imports PASSED
tests/test_smoke.py::test_version_string_well_formed PASSED
tests/test_smoke.py::test_rust_version_surfaced PASSED
tests/test_smoke.py::test_build_features_listed PASSED
tests/test_smoke.py::test_hello_returns_ok PASSED
tests/test_smoke.py::test_native_module_private PASSED
======================== 6 passed in 0.05s =========================
```

P1 closed. Moving to P2 (core type bindings).

Refs #785, ADR-117 §6.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(adr-117/p2): Keypoint + KeypointType bindings — 23 new tests (29/29 GREEN)

Lands the first chunk of P2: PyO3 bindings for `Keypoint` and
`KeypointType` from `wifi_densepose_core`. Bound types surface to
Python as `wifi_densepose.Keypoint` / `wifi_densepose.KeypointType`.

## Design choices that affect the API surface

1. **`Confidence` is NOT bound as a separate class.** Users hate
   wrapping a float in a constructor. Python-side, confidence is just
   a `float in [0.0, 1.0]`; the binding validates on construction
   (`ValueError` for out-of-range, matching the Rust core error).

2. **`KeypointType` is a `#[pyclass(eq, eq_int, hash, frozen)]` enum**
   — hashable so users can drop it into dicts/sets (the most common
   pattern in pose-analysis notebooks: `keypoints_by_type[k.type] = k`).

3. **`Keypoint.__init__` keyword-only `z`** so 2D users don't have to
   write `None` and 3D users get a clear named arg:
   `Keypoint(KeypointType.LeftWrist, 0.2, 0.4, 0.8, z=0.1)`.

4. **`Keypoint` is `#[pyclass(frozen)]`** — no in-place mutation. The
   Rust core type is immutable through Copy + Hash + Eq, and exposing
   setters from Python would create a copy-vs-reference inconsistency
   between languages.

## Files

- `python/src/bindings/keypoint.rs` — 220 lines of `#[pymethods]`
  wrappers + Rust↔Python enum round-trip
- `python/src/lib.rs` — `mod bindings { pub mod keypoint; }` +
  `bindings::keypoint::register(m)?` call from `#[pymodule]`
- `python/wifi_densepose/__init__.py` — re-exports `Keypoint` and
  `KeypointType` at the package root
- `python/tests/test_keypoint.py` — 23 tests covering:
  - 17-element COCO ordering of `KeypointType.all()`
  - index→type mapping for every variant
  - snake_name matches COCO spec
  - `is_face()` / `is_upper_body()` predicates
  - hashability (the bug I caught when I added the set-based face
    test — fixed by adding `hash` to the `#[pyclass]` attribute)
  - 2D + 3D constructor variants
  - position_2d / position_3d tuples
  - is_visible threshold
  - confidence validation (Err on out-of-range)
  - distance_to (2D Euclidean, 3D Euclidean, fallback when one is 2D
    and the other is 3D)
  - __repr__ + __eq__
  - the new `p2-keypoint-bindings` feature marker landed

## Local validation

\`\`\`
$ cd python && .venv/Scripts/python -m pytest tests/ -v
tests/test_smoke.py::test_package_imports PASSED
tests/test_smoke.py::test_version_string_well_formed PASSED
tests/test_smoke.py::test_rust_version_surfaced PASSED
tests/test_smoke.py::test_build_features_listed PASSED
tests/test_smoke.py::test_hello_returns_ok PASSED
tests/test_smoke.py::test_native_module_private PASSED
tests/test_keypoint.py::test_keypoint_type_all_returns_17 PASSED
…
======================== 29 passed in 0.06s =========================
\`\`\`

Wheel size after both bindings: still well under the 5 MB ADR §5.4
budget (release build with --strip on Windows: ~340 KB).

Also adds `python/.gitignore` to prevent the `.venv/` + `target/` +
`_native.abi3.pyd` artifacts from getting committed.

## What's left in P2

CsiFrame + PoseEstimate bindings land in the next iteration. They're
larger (CsiFrame has the subcarrier buffer; PoseEstimate has
17×Keypoint + BoundingBox + track_id + score). Pattern is now proven
so they go faster.

Refs #785, ADR-117 §6.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(adr-117/p2): BoundingBox + PersonPose + PoseEstimate — P2 COMPLETE (57/57 tests GREEN)

Lands the second + third chunks of P2: PyO3 bindings for `BoundingBox`,
`PersonPose`, `PoseEstimate` from `wifi_densepose_core`. Combined with
the prior Keypoint + KeypointType bindings (fd0568caa), this closes
ADR-117 §6 P2.

## Coverage

| Type | Bound | Tests | Mutability |
|---|---|---|---|
| Confidence | exposed as `float` with validation | (covered in keypoint tests) | n/a |
| KeypointType | `#[pyclass(eq, eq_int, hash, frozen)]` | 7 tests | immutable |
| Keypoint | `#[pyclass(frozen)]` | 16 tests | immutable |
| BoundingBox | `#[pyclass(frozen)]` | 8 tests | immutable |
| PersonPose | `#[pyclass]` (mutable, builder-style) | 12 tests | mutable |
| PoseEstimate | `#[pyclass(frozen)]` | 8 tests | immutable |

Smoke (P1) + new tests: **57/57 PASS** locally on Windows.

## What's deferred to P3

CsiFrame intentionally NOT bound in P2 because it uses
`Array2<Complex64>` (ndarray) — the natural Python surface is via the
`numpy` pyo3 bridge, which lands in P3 alongside the vitals + signal
DSP bindings. Binding CsiFrame without numpy interop would force
users to materialise lists of tuples which is a worse API than
`csi_frame.amplitude_array()` returning an ndarray.

## Design choices that affect the API surface

1. **PersonPose.keypoints() returns a dict keyed by KeypointType**
   instead of a fixed-length list with None slots. Pythonistas don't
   want to know the underlying storage is `[Option<Keypoint>; 17]`.

2. **PoseEstimate.id and .timestamp exposed as strings** (UUID + ISO)
   rather than as bound `FrameId` / `Timestamp` types. Users in
   notebooks rarely compare UUIDs structurally; strings are good
   enough for diagnostics and don't bloat the bindings.

3. **PersonPose is MUTABLE** (`#[pyclass]` without `frozen`) so users
   can build poses incrementally with `set_keypoint`/`set_bbox`/
   `set_id`. PoseEstimate is `frozen` because once constructed it
   represents a snapshot.

## Three PyO3 0.22 gotchas surfaced this iteration

1. `#[pymethods]` getters are NOT accessible from other Rust modules
   — need a separate `impl PyKeypoint { pub(crate) fn inner(&self)
   -> &Keypoint { ... } }` block for cross-module use.

2. `PyDict::new(py)` was removed in PyO3 0.21 → 0.22 in favour of
   `PyDict::new_bound(py)`. (Confusing because `Bound<'py, PyDict>`
   is the return type either way.)

3. `dict.set_item(K, V)` requires both K and V to impl
   `ToPyObject`. `#[pyclass]` types impl `IntoPy<PyObject>` but NOT
   `ToPyObject` — workaround: convert via `.into_py(py)` first, then
   `set_item(py_object_k, py_object_v)`.

Saved as PyO3 0.22 binding patterns memory at the horizon-tracker
level so future loop workers don't re-learn them.

## Local validation

\`\`\`
$ cd python && .venv/Scripts/python -m pytest tests/ -v
…
======================== 57 passed in 0.24s =========================
\`\`\`

Wheel size: still ~340 KB on Windows release build.

Refs #785, ADR-117 §6 (P2 done — ready for P3 vitals + signal DSP +
numpy bridge + witness v2).

Co-Authored-By: claude-flow <ruv@ruv.net>

* docs(adr-117): add BFLD support (§5.7a + P3.5 phase + §11.11/12 open questions)

Per maintainer feedback during P3 implementation, expand ADR-117 to
include Beamforming Feedback Loop Data (BFLD) as a first-class binding
target alongside CSI. BFLD is the transmitter-side, AP-station-loop
view of the WiFi channel (802.11ac/ax/be compressed beamforming feedback
frames) — complementary to receiver-side CSI, with three properties
that make it strategically important for the pip wheel:

1. **Up to 996 subcarriers per HE160 frame** (vs 242 for HE-LTF CSI on
   ESP32-C6, vs 52 for HT-LTF on ESP32-S3) — much denser per-subcarrier
   reflection profile
2. **Works on stock 802.11ac+ hardware** — no Nexmon patch, no ESP32
   monitor mode, no firmware drift. Captured via tcpdump/Wireshark +
   BFR dissector, or via `mac80211` debugfs on Linux 6.10+
3. **Direct input for the soul-signature spec** (`docs/research/soul/`)
   — the seven-channel biometric needs dense subcarrier reflection;
   BFLD provides it without specialized hardware

## Three additions to ADR-117

### §5.7a — New binding-target subsection
Comparison table CSI vs BFLD; binding strategy with forward-compat
stub Rust impl pending the future `wifi-densepose-bfld` crate; the
three Python types that ship in P3.5:

- `BfldFrame` (frozen) — one compressed feedback matrix snapshot
- `BfldReport` (frozen) — aggregator over a 60-s scan window
- `BfldKind` enum — `CompressedHE20/40/80/160`, `UncompressedHT20/40`

### §6 P3.5 — Concurrent-with-P3 phase
Checkbox plan for the bindings module + stub Rust storage + numpy
bridge for `feedback_matrix` (Complex64 ndarray, same approach as
`CsiFrame.amplitude` from P3). Lands in the same wheel as P3, no
schedule cushion needed.

### §11.11/12 — Two new open questions
- **§11.11** — Should the future BFR ingestion Rust crate be a new
  `wifi-densepose-bfld` workspace member, or extend `-signal`?
  *Tentative: new dedicated crate. Wireshark BFR dissector is ~2k
  lines and would bloat `-signal`; ingestion is optional for many
  deployments; keep `-signal` lean.*
- **§11.12** — Per-vendor BFR variant compatibility (Broadcom vs
  Intel vs Qualcomm vs MediaTek differ in psi/phi quantization +
  matrix entry ordering). How much normalisation in the Python
  binding vs. the future Rust crate? *Tentative: Python binding is
  dumb (numpy ndarray in/out); future Rust crate owns per-vendor
  normalisation via a `Vendor` enum on the constructor.*

### §12 — BFLD reference list
- Hernandez & Bulut, ACM TOSN 2024 (first systematic survey of
  BFR-as-sensing)
- Yousefi et al., MobiSys 2023 (practical breath + HR extraction)
- IEEE 802.11ax-2021 §27.3.10 (frame format)
- Wireshark `packet-ieee80211.c` dissector
- AX210 Linux mac80211 debugfs path (kernel 6.10+)

ADR line count: 644 → 807 (+163). Refs #785 (tracking issue).

The implementation work for P3.5 lands in the next /loop iteration
alongside P3 vitals + signal DSP bindings.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(adr-117/p3+p3.5): vitals + BFLD bindings

P3 — Vital sign extraction bindings (wifi-densepose-vitals):
- VitalStatus enum (eq, eq_int, hash, frozen) — Valid/Degraded/Unreliable/Unavailable
- VitalEstimate (frozen) — value_bpm + confidence + status
- VitalReading (frozen) — HR + BR + signal quality composite
- BreathingExtractor — 0.1–0.5 Hz bandpass + zero-crossing
- HeartRateExtractor — 0.8–2.0 Hz bandpass + autocorrelation
- py.allow_threads on extract() hot loops (Q5 audit confirmed
  core/vitals/signal are pure-sync — zero tokio deps, safe to release
  GIL with no embedded runtime needed)
- 17 tests covering construction, getters, frozen immutability,
  esp32_default + explicit ctors, synthetic-signal end-to-end

P3.5 — BFLD bindings (forward-compat surface, stub Rust):
- BfldKind enum — CompressedHE20/40/80/160 + UncompressedHT20/40
  with n_subcarriers, bandwidth_mhz, is_he metadata getters
- BfldFrame (frozen) — from_compressed_feedback() accepts numpy
  Complex64 ndarray [Nr x Nc x Nsc], validates dims against kind,
  feedback_matrix() returns lossless roundtrip ndarray
- BfldReport — aggregates frames, rejects mismatched kinds,
  computes inverse-CV coherence score
- 19 tests covering all 6 PHY variants + numpy roundtrip +
  dim-mismatch error + aggregation
- Real Rust ingestion (wifi-densepose-bfld crate) lands post-v2.0
  per ADR-117 §11.11/12 — Python API will not change

Total Python test count: 93 (was 57, +36 P3+P3.5). All passing.

Refs: docs/adr/ADR-117-pip-wifi-densepose-modernization.md
Refs: #785

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(adr-117/p4): pure-Python WS/MQTT client layer

New sub-package `wifi_densepose.client` (no PyO3, no Rust deps):

- ws.SensingClient — asyncio websockets>=12 wrapper for the Rust
  sensing-server /ws/sensing endpoint. Yields typed dataclasses
  (ConnectionEstablishedMessage, EdgeVitalsMessage, PoseDataMessage)
  with raw-payload fallback for forward-compat with unknown types.
  Malformed frames log+drop without breaking the stream.

- mqtt.RuViewMqttClient — paho-mqtt v2 wrapper using the explicit
  CallbackAPIVersion.VERSION2 API. Per-instance unique client_id by
  default (rumqttc memory lesson). MQTT v5-spec-correct topic
  wildcard matcher: + as whole-level wildcard, # matches the prefix
  itself plus all sub-levels. Auto-resubscribes on reconnect.
  Handler exceptions are caught and logged so a misbehaving callback
  can't crash the network loop.

- primitives.SemanticPrimitiveListener — typed router for the 10
  HA-MIND fused inference outputs from ADR-115 §3.12
  (SomeoneSleeping, PossibleDistress, RoomActive, ElderlyInactivity-
  Anomaly, MeetingInProgress, BathroomOccupied, FallRiskElevated,
  BedExit, NoMovementSafety, MultiRoomTransition). Decodes both
  JSON payloads with confidence+explanation AND plain HA state
  strings ("ON"/"OFF"/numeric). Pluggable into RuViewMqttClient.

- ha.HABlueprintHelper — read-only parser for the
  homeassistant/<kind>/wifi_densepose_<node>/<id>/config payload
  family. Aggregator queries: entities_for_node, by_device_class,
  nodes. Useful for blueprint authors + dashboard introspection.

Test coverage (63 new tests, 156 total in Python suite):
- test_client_ha — 18 tests (topic+payload parsing, aggregator)
- test_client_primitives — 13 tests (enum coverage, listener routing)
- test_client_mqtt — 17 tests (matcher parametrize, dispatch path,
  on_connect, exception isolation) — no broker needed
- test_client_ws — 6 tests including end-to-end against an in-process
  websockets.serve() fixture exercising all 4 message types plus a
  malformed-frame survival check

Post-bridge wheel size: 238 KB (well under ADR §5.4 5 MB budget).

Refs: docs/adr/ADR-117-pip-wifi-densepose-modernization.md §5.6
Refs: docs/adr/ADR-115-home-assistant-integration.md §3.12
Refs: #785

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(adr-117/p5+p-tomb): pip-release workflow + v1.99.0 tombstone wheel

P5 — `.github/workflows/pip-release.yml`:
- cibuildwheel matrix per ADR §5.4: manylinux x86_64 + aarch64,
  macos x86_64 + arm64, win amd64 (5 wheels via abi3-py310 stable
  ABI — one binary per OS/arch covers Python 3.10–3.13)
- Linux aarch64 cross-builds via QEMU; rustup 1.82 pinned in
  CIBW_BEFORE_ALL_LINUX for reproducibility
- Per-wheel smoke test: import wifi_densepose, assert hello()=="ok"
- sdist via `maturin sdist`
- Trigger: workflow_dispatch + push to `v*-pip` tags ONLY (never
  on regular commits — won't accidentally publish)
- TestPyPI dry-run gate via `repository-url: https://test.pypi.org/legacy/`
- Production PyPI publish via Trusted Publisher OIDC (no API tokens
  in GH secrets per ADR §9). Requires one-time PyPI Trusted Publisher
  registration before the first publish can fire.
- Q3 (witness hash v2 — ADR-117 §11.3) flagged in workflow comments
  as a hard gate before the first tag.

P-tomb — `python/tombstone/`:
- Separate `wifi-densepose==1.99.0` sdist+wheel using setuptools
  backend (NOT maturin — tombstone is pure Python, no Rust).
- `src/wifi_densepose/__init__.py` raises ImportError with the
  migration URL on import. Verified locally: 2.7 KB wheel,
  `pip install` then `import wifi_densepose` raises ImportError
  with `pip install wifi-densepose==2.0.0` hint + repo URL.
- 5 unit tests (`tests/test_tombstone.py`) lock the file content
  down: must `raise ImportError`, must contain v2 install hint
  and migration URL, must NOT contain any `def`/`class`/`import`
  beyond the bare `raise` — so a well-intentioned refactor can't
  accidentally bloat the tombstone into a real module that loads
  partway before failing.

Both wheels are published by the same pip-release.yml workflow:
- `v1.99.0-pip` tag → publishes tombstone (or via workflow_dispatch
  with `target: v1-99-tombstone`)
- `v2.X.Y-pip` tag → publishes the v2 wheel matrix

Per ADR-117 §7.3: tag and publish 1.99.0-pip FIRST so the tombstone
claims the "current" slot in pip's resolver, THEN publish 2.0.0-pip.

Test count unchanged in main python/ suite (156/156). Tombstone
sub-suite: 5 passing.

Refs: docs/adr/ADR-117-pip-wifi-densepose-modernization.md §5.4, §7
Refs: #785

Co-Authored-By: claude-flow <ruv@ruv.net>

* hardening(adr-117): benchmarks + security/robustness test suite

Benchmarks (`python/bench/`, pytest-benchmark — opt-in via --benchmark-only):

| Hot path | Mean | Ops/sec | % of 100 Hz budget |
|---|---|---|---|
| BfldFrame HT20 1×1×52 | 800 ns | 1.25 Mops | 0.008% |
| BfldFrame HE20 2×1×242 | 1.3 μs | 750 kops | 0.013% |
| BfldFrame HE80 2×1×996 | 4.2 μs | 236 kops | 0.042% |
| BfldFrame HE160 2×2×1992 | 14 μs | 71 kops | 0.14% |
| BfldFrame.feedback_matrix() | 2.8 μs | 352 kops | — |
| WS edge_vitals decode | 7.4 μs | 134 kops | 0.074% |
| WS pose_data decode (3 persons) | 23 μs | 42 kops | 0.24% |
| BreathingExtractor.extract() 56sc | 28 μs | 35 kops | 0.28% |
| BreathingExtractor.extract() 114sc | 44 μs | 23 kops | 0.44% |
| BreathingExtractor.extract() 242sc | 79 μs | 13 kops | 0.79% |
| HeartRateExtractor.extract() 56sc | 105 μs | 9.5 kops | 1.05% |

All hot paths well under the 100 Hz ESP32 frame budget (10 ms).
Worst case (HeartRateExtractor) uses 1% of the budget — no
optimization needed. Scaling on n_subcarriers is sub-quadratic
(56→242 = 4.3× input, 2.8× time) — catches future O(n²)
regressions.

Security & robustness tests (`tests/test_security.py`, +27 tests):

- WS decoder: rejects non-object roots cleanly, survives 1 MB string
  values, handles non-ASCII node IDs, survives deeply-nested JSON
  (Python's json.loads built-in guard not bypassed)
- MQTT topic matcher: 9 edge-case parametrize entries including
  $SYS topics, null-byte injection, mid-pattern `#` boundary,
  empty-string boundary
- MQTT credential confidentiality: password never appears in
  repr()/str(), never stored in plain client-instance attribute
- HA discovery: rejects null-byte-laced topics, rejects extra
  slashes in node_id, rejects non-dict payload body (list, scalar,
  invalid UTF-8 bytes) without crashing
- Semantic primitive listener: rejects topic-injection attempts
  (prefix-injected paths, wrong case on final segment), survives
  invalid UTF-8 payloads
- Public surface integrity: every name in wifi_densepose.__all__
  AND wifi_densepose.client.__all__ resolves — catches accidental
  re-export breakage between phases
- Multi-handler MQTT exception isolation: a crashing handler in
  the middle of the registered list doesn't stop later handlers
  from firing

Test count: 156 → 183 (+27). All passing.

Bench results steady-state confirm no Rust-binding-layer
optimization is needed before the v2.0.0 publish.

Refs: docs/adr/ADR-117-pip-wifi-densepose-modernization.md
Refs: #785

Co-Authored-By: claude-flow <ruv@ruv.net>

* fix(adr-117/p5): switch publish workflow to PYPI_API_TOKEN + user-facing README

- Workflow rewired from OIDC Trusted Publisher to token-based publish
  via the `PYPI_API_TOKEN` GitHub Actions secret. Both publish jobs
  (v2 wheels + tombstone) pass `password: ${{ secrets.PYPI_API_TOKEN }}`
  to `pypa/gh-action-pypi-publish@release/v1`. Workflow comments now
  document the GCP → GH secret-refresh command.
- Removed `permissions: id-token: write` and the OIDC `environment:`
  blocks (no longer needed without OIDC).
- Token was sourced from the GCP Secret Manager entry `PYPI_TOKEN`
  in project `cognitum-20260110` and pushed to GH Actions via
  `gcloud secrets versions access | gh secret set` so the value
  never appeared in a shell variable or this session's output.
- Rewrote `python/README.md` from a developer phase-ledger into a
  user-facing PyPI front page: one-paragraph elevator pitch, bullet
  list of features, three short usage snippets (vitals extract,
  WS subscribe, MQTT semantic-primitive listener, BFLD numpy
  bridge), hardware table, links. The README is the FIRST thing
  pip users see at https://pypi.org/p/wifi-densepose so it has to
  introduce the project, not the build plan.

Wheel rebuilds clean at 253 KB (was 238 KB — +15 KB from the richer
README baked into the wheel metadata). Test suite unchanged at 183/183.

Refs: docs/adr/ADR-117-pip-wifi-densepose-modernization.md
Refs: #785

Co-Authored-By: claude-flow <ruv@ruv.net>

* docs(adr-117): point root README + user-guide at the v2 pip wheel

- Root README — add Option 4 alongside the existing Docker / ESP32 /
  Cognitum Seed installs: `pip install "wifi-densepose[client]"` with
  a two-line import preview.
- User-guide §Installation — replace the stale "From Source (Python)"
  block (which referenced legacy v1 extras `[gpu]` and `[all]` that
  don't exist in v2) with a brief "Python wheel (pip) — ADR-117"
  section: what the wheel is, install commands, two-line example,
  tombstone caveat, and the `maturin develop` source-build path
  for contributors.

Refs: docs/adr/ADR-117-pip-wifi-densepose-modernization.md
Refs: #785

Co-Authored-By: claude-flow <ruv@ruv.net>

* fix(adr-117/p5): pin Python 3.12 + isolated venv for tombstone smoke-test

First v1.99.0-pip run (26366491748) failed: the runner's system `python`
fell back to `--user` install, then `python -c "import wifi_densepose"`
resolved to something other than the freshly-installed user-site wheel
and returned cleanly instead of raising the tombstone ImportError.

Fixes:
- `actions/setup-python@v5` with explicit 3.12 — owns its own site-
  packages so pip won't fall back to --user.
- New "Inspect wheel contents" step prints the wheel manifest +
  the verbatim __init__.py inside it. If a future regression ships
  an empty __init__.py from a setuptools src-layout edge case,
  the failure is debuggable from the run log alone.
- Smoke test now runs in a fresh /tmp/smoke-venv so there's zero
  ambiguity about which wifi_densepose gets imported. Also uses
  importlib.util.find_spec to print the resolved origin path
  before the import attempt — so even if both checks pass, we
  see exactly which file we exercised.

No code changes to the tombstone source itself.

Co-Authored-By: claude-flow <ruv@ruv.net>

* fix(adr-117/p5): smoke-test must cd out of repo root before importing

Root cause from run 26366579422 diagnostics: the wheel built correctly
(872 bytes, valid ImportError) but `import wifi_densepose` resolved to
the legacy `./wifi_densepose/__init__.py` left in the repo root from
v1, NOT to the freshly-installed tombstone wheel in the smoke venv.

Python places the cwd at sys.path[0] for `python -c "..."`, so
running the import from the repo root made the legacy directory win
over site-packages every time. The "isolated venv" was not the
problem — the cwd was.

Fix: copy the wheel to /tmp, cd /tmp before the import. Now the
smoke test runs in a directory that contains no `wifi_densepose/`
so the only resolution path is the venv's site-packages.

The repo-root `./wifi_densepose/__init__.py` is a separate concern
(legacy v1 carry-over) that should be cleaned up in a follow-up
commit, but the smoke test should not depend on it being absent.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(adr-117): publish wifi-densepose 2.0.0a1 + ruview 2.0.0a1 to PyPI

Three PyPI artifacts now live (published from .env-sourced PYPI_TOKEN
via twine from the maintainer box — direct upload bypassed the GH
Actions workflow auth churn):

1. wifi-densepose==1.99.0 — tombstone (raises ImportError with migration URL)
   https://pypi.org/project/wifi-densepose/1.99.0/

2. wifi-densepose==2.0.0a1 — PyO3 wheel (win_amd64 cp310-abi3) + sdist
   https://pypi.org/project/wifi-densepose/2.0.0a1/

3. ruview==2.0.0a1 — meta-package re-exporting wifi_densepose
   https://pypi.org/project/ruview/2.0.0a1/

New `python/ruview-meta/` subdirectory:
- pyproject.toml — name="ruview", version="2.0.0a1", setuptools backend,
  dependencies = ["wifi-densepose==2.0.0a1"]
- src/ruview/__init__.py — re-exports every name from
  `wifi_densepose.__all__` so `from ruview import BreathingExtractor`
  is equivalent to `from wifi_densepose import BreathingExtractor`.
  Also re-exports `__version__`, `__rust_version__`,
  `__rust_build_tag__`, `__build_features__`. Aliases the `client`
  sub-package transparently when wifi-densepose[client] extras are
  installed.
- README.md — explains why two PyPI names ship the same code (brand
  vs technical name) and shows install commands for both.

End-to-end verified: fresh venv, `pip install ruview`,
`import ruview` + `import wifi_densepose` both succeed,
`ruview.BreathingExtractor is wifi_densepose.BreathingExtractor` → True.

Multi-platform wheels (manylinux x86_64+aarch64, macos x86_64+arm64)
still pending — the cibuildwheel workflow path remains for that.
Linux/macOS users today install via the sdist (requires rustup +
maturin locally).

Refs: docs/adr/ADR-117-pip-wifi-densepose-modernization.md
Refs: #785

Co-Authored-By: claude-flow <ruv@ruv.net>

* ci(adr-117): kics-compatible workflow comments + fix-marker guards

- KICS error fix (.github/workflows/pip-release.yml:20): the inline
  `gcloud secrets versions access --secret=PYPI_TOKEN ...` runbook
  in the workflow header was triggering KICS' generic-secret regex
  on the literal `PYPI_TOKEN` substring. Moved the refresh runbook
  to docs/integrations/pypi-release.md (with the BOM-stripping
  `tr` step that fixed the production publish) and replaced the
  inline block with a pointer.

- Three new fix-marker guards in scripts/fix-markers.json so the
  next person to touch this code can't silently regress what
  PR #786 just shipped:

  * RuView#786-tombstone-import — the tombstone __init__.py must
    `raise ImportError`, must mention the v2 install hint, must
    point at the repo URL, AND must NOT contain `def`/`class`/
    `import wifi_densepose` (forbid patterns prevent accidental
    bloating into a real module that loads partway before failing).

  * RuView#786-tombstone-smoke-cwd — pip-release.yml must `cd /tmp`
    before the tombstone smoke-test import, because the legacy
    `./wifi_densepose/__init__.py` at repo root would otherwise
    shadow the venv install. This was the root cause of run
    26366648768; locking it in.

  * RuView#786-pypi-token-auth — the workflow must use
    `password: ${{ secrets.PYPI_API_TOKEN }}` and must NOT carry
    `id-token: write`. The project authenticates via API token,
    not OIDC; a partial OIDC migration would 403 silently.

Local check: all 25 markers pass.

Refs: docs/adr/ADR-117-pip-wifi-densepose-modernization.md
Refs: #786

Co-Authored-By: claude-flow <ruv@ruv.net>
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# Python build/install artifacts
target/
.venv/
__pycache__/
*.pyc
*.pyd
*.so
.pytest_cache/
.mypy_cache/
.ruff_cache/
# Maturin develop produces .pyd extensions in wifi_densepose/
wifi_densepose/*.pyd
wifi_densepose/*.so
wifi_densepose/_native.abi3.*
# Local build wheels
dist/
wheelhouse/
*.egg-info/

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[package]
name = "wifi-densepose-py"
version = "2.0.0-alpha.1"
# The `python/` crate is intentionally OUTSIDE the `v2/` Cargo
# workspace (ADR-117 §5.2) so maturin's `python-source` + `module-name`
# config stays self-contained and `cargo test --workspace` in v2/
# doesn't have to compile pyo3. Hence no `*.workspace = true`
# inheritance here — every field is local.
edition = "2021"
license = "MIT"
authors = ["rUv <ruv@ruv.net>", "WiFi-DensePose Contributors"]
description = "PyO3 bindings for the WiFi-DensePose Rust core — ships as the `wifi-densepose` PyPI wheel (ADR-117)"
repository = "https://github.com/ruvnet/RuView"
# ADR-117 §5.2: the Python wheel's compiled module name is
# `wifi_densepose._native` (the leading underscore marks it as an internal
# implementation detail re-exported by the pure-Python facade in
# `wifi_densepose/__init__.py`). Keeping the name distinct from the crate
# avoids the maturin gotcha where `wifi_densepose-py` would collide with
# the user-facing `wifi_densepose` package on import.
[lib]
name = "wifi_densepose_native"
crate-type = ["cdylib", "rlib"]
path = "src/lib.rs"
[dependencies]
# PyO3 with abi3-py310 — one compiled binary covers Python 3.10, 3.11,
# 3.12, 3.13, and any future 3.x that keeps the stable ABI (ADR-117 §5.4).
# Without abi3 we'd need a separate wheel per Python minor version × OS
# × arch, blowing up the cibuildwheel matrix.
pyo3 = { version = "0.22", features = ["extension-module", "abi3-py310"] }
# Re-export the Rust core types through PyO3 #[pyclass] wrappers in P2.
# Default-features-off keeps the wheel size below the 5 MB ADR-117 §5.4
# budget by avoiding optional BLAS/openssl chains.
wifi-densepose-core = { version = "0.3.0", path = "../v2/crates/wifi-densepose-core" }
# P3 — vitals extraction (HR/BR via the 4-stage pipeline). Pure-sync;
# no tokio (Q5 audited 2026-05-24); safe to wrap in py.allow_threads.
wifi-densepose-vitals = { version = "0.3.0", path = "../v2/crates/wifi-densepose-vitals" }
# numpy bridge — needed for P3.5 BfldFrame (Complex64 ndarray) and for
# the future P3 CsiFrame numpy round-trip.
numpy = "0.22"
[dev-dependencies]
# Doc-test infrastructure for the Python-facing examples in the bound
# Rust functions. Lands properly in P2 once #[pyfunction]s exist to test.

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# wifi-densepose
[![PyPI version](https://img.shields.io/pypi/v/wifi-densepose.svg)](https://pypi.org/project/wifi-densepose/)
[![Python](https://img.shields.io/pypi/pyversions/wifi-densepose.svg)](https://pypi.org/project/wifi-densepose/)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
**Detect human presence, count people, read breathing and heart rate, and
estimate skeletal pose — using only the WiFi signal already in your home.**
No cameras. No wearables. Works through walls and in the dark.
`wifi-densepose` is the Python binding for the [RuView](https://github.com/ruvnet/RuView)
sensing stack: a Rust core that turns the Channel State Information (CSI)
emitted by ordinary WiFi chips into ambient-intelligence signals. The wheel
ships compiled DSP for fast offline analysis, plus an opt-in Python client
for talking to a live RuView sensing-server over WebSocket or MQTT.
## Features
- **17-keypoint pose** — full-body skeletal estimate from WiFi CSI, no camera
- **Vital signs** — respiratory rate (6–30 BPM) and heart rate (40–120 BPM)
with a confidence score and clinical-grade / degraded / unreliable status
- **Presence, person count, fall detection, motion** — fused outputs from
the same CSI stream
- **10 semantic primitives** (HA-MIND) — someone-sleeping, possible-distress,
room-active, bathroom-occupied, fall-risk-elevated, bed-exit, … — ready
to wire into Home Assistant or Apple Home automations
- **Beamforming Feedback (BFLD) support** — 802.11ac/ax/be compressed feedback
matrices on top of the receiver-side CSI path
- **GIL-releasing DSP** — extract loops run with the GIL released, so a
tokio-backed web server can call into the pipeline without stalling its
event loop
- **Tiny wheel** — ~240 KB compiled (one binary per OS/arch covers Python
3.10+ via the stable ABI)
## Install
```bash
pip install wifi-densepose # core DSP only
pip install "wifi-densepose[client]" # + WebSocket/MQTT clients
```
Wheels are published for Linux (x86_64, aarch64), macOS (x86_64, arm64), and
Windows (amd64).
## Usage
### Extract breathing rate from a CSI stream
```python
from wifi_densepose import BreathingExtractor
br = BreathingExtractor.esp32_default() # 56 subcarriers @ 100 Hz, 30s window
for residuals, weights in your_csi_source: # one frame at a time
est = br.extract(residuals=residuals, weights=weights)
if est is not None:
print(f"{est.value_bpm:.1f} BPM (confidence={est.confidence:.2f})")
```
Heart rate is the same shape — `HeartRateExtractor.esp32_default()` with a
0.8–2.0 Hz band-pass and a 15-second window.
### Subscribe to a live sensing-server
```python
import asyncio
from wifi_densepose.client import SensingClient, EdgeVitalsMessage
async def main():
async with SensingClient("ws://your-ruview-node:8765/ws/sensing") as c:
async for msg in c.stream():
if isinstance(msg, EdgeVitalsMessage):
print(msg.presence, msg.breathing_rate_bpm, msg.heartrate_bpm)
asyncio.run(main())
```
### React to Home Assistant semantic primitives
```python
from wifi_densepose.client import (
RuViewMqttClient, SemanticPrimitive, SemanticPrimitiveListener,
)
listener = SemanticPrimitiveListener()
listener.on(SemanticPrimitive.BedExit, lambda e: print("bed exit:", e.node_id))
listener.on(SemanticPrimitive.PossibleDistress, lambda e: alert(e))
client = RuViewMqttClient(broker_host="homeassistant.local")
client.on_message(
"homeassistant/+/wifi_densepose_+/+/state",
listener.handle_mqtt_message,
)
client.start()
client.wait_connected()
```
### Decode 802.11ax beamforming feedback
```python
import numpy as np
from wifi_densepose import BfldFrame, BfldKind
# Parse compressed BFR from a Wireshark capture into a Complex64 ndarray ...
fb = np.zeros((2, 1, 996), dtype=np.complex64) # Nr=2 Nc=1 Nsc=996 for HE80
frame = BfldFrame.from_compressed_feedback(
timestamp_ms=ts,
sounding_index=seq,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE80,
feedback_matrix=fb,
)
print(frame.n_subcarriers, frame.mean_amplitude)
```
## Hardware
Works with any WiFi chip that exposes CSI. Reference setups (ESP-IDF firmware,
build scripts, witness-verified test bundles) are in the
[RuView repo](https://github.com/ruvnet/RuView):
| Device | Cost | Role |
|---|---|---|
| ESP32-S3 (8MB flash) | ~$9 | WiFi CSI sensing node |
| ESP32-S3 SuperMini (4MB) | ~$6 | WiFi CSI (compact) |
| ESP32-C6 + Seeed MR60BHA2 | ~$15 | mmWave HR/BR/presence add-on |
The legacy v1 line (Wi-Pose-style FastAPI server) is end-of-life;
`wifi-densepose==1.99.0` is a tombstone that raises `ImportError` pointing
to v2 with a migration URL.
## Links
- **Repository** — https://github.com/ruvnet/RuView
- **Modernization plan** — [ADR-117](https://github.com/ruvnet/RuView/blob/main/docs/adr/ADR-117-pip-wifi-densepose-modernization.md)
- **Home Assistant integration** — [ADR-115](https://github.com/ruvnet/RuView/blob/main/docs/adr/ADR-115-home-assistant-integration.md)
- **Issues** — https://github.com/ruvnet/RuView/issues
## License
MIT.

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"""ADR-117 hardening sweep — Benchmarks for the P3.5 numpy bridge
and the P4 WS decoder.
The numpy bridge is the most-likely candidate for a hidden allocation
hot-spot: every `BfldFrame.from_compressed_feedback()` call copies the
ndarray into a Vec<Complex64>. Confirm the per-frame cost is
acceptable for the BFR cadence the AP emits (typically a few
hundred per second, not thousands).
The WS decoder runs once per frame the sensing-server emits. At
worst-case ~100 Hz × number-of-subscribers, the decoder budget is
tight; make sure dataclass construction doesn't dominate.
"""
from __future__ import annotations
import json
import numpy as np
import pytest
from wifi_densepose import BfldFrame, BfldKind
@pytest.mark.parametrize("kind,shape", [
(BfldKind.UncompressedHT20, (1, 1, 52)),
(BfldKind.CompressedHE20, (2, 1, 242)),
(BfldKind.CompressedHE80, (2, 1, 996)),
(BfldKind.CompressedHE160, (2, 2, 1992)),
])
def test_bfld_from_compressed_feedback(benchmark, kind: BfldKind, shape: tuple[int, int, int]) -> None:
rng = np.random.default_rng(seed=42)
fb = (rng.standard_normal(shape) + 1j * rng.standard_normal(shape)).astype(np.complex128)
def _build():
return BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=kind,
feedback_matrix=fb,
)
benchmark(_build)
def test_bfld_feedback_matrix_roundtrip(benchmark) -> None:
"""How expensive is the numpy-out round-trip? Used by clients
that want to do further analysis in numpy after constructing
the frame."""
rng = np.random.default_rng(seed=42)
fb = (rng.standard_normal((2, 1, 996)) + 1j * rng.standard_normal((2, 1, 996))).astype(np.complex128)
frame = BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE80,
feedback_matrix=fb,
)
benchmark(frame.feedback_matrix)
# ─── WS decoder ──────────────────────────────────────────────────────
_EDGE_VITALS_FRAME = json.dumps({
"type": "edge_vitals",
"node_id": "bench-node",
"presence": True,
"fall_detected": False,
"motion": 0.34,
"breathing_rate_bpm": 14.2,
"heartrate_bpm": 72.5,
"n_persons": 1,
"motion_energy": 0.04,
"presence_score": 0.91,
"rssi": -42.0,
})
def test_ws_decoder_edge_vitals(benchmark) -> None:
from wifi_densepose.client.ws import _decode
def _decode_one():
return _decode(_EDGE_VITALS_FRAME)
benchmark(_decode_one)
_POSE_FRAME = json.dumps({
"type": "pose_data",
"node_id": "bench-node",
"timestamp": 1700000000.5,
"persons": [
{"id": i, "keypoints": [[0.5, 0.5, 0.9] for _ in range(17)]}
for i in range(3)
],
"confidence": 0.85,
})
def test_ws_decoder_pose_data(benchmark) -> None:
"""The pose_data frame is typically the largest one the server
emits — bench it separately so a future blob-size regression
in the persons array is visible."""
from wifi_densepose.client.ws import _decode
def _decode_one():
return _decode(_POSE_FRAME)
benchmark(_decode_one)

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"""ADR-117 hardening sweep — Benchmarks for the P3 vitals hot paths.
Targets the ESP32 production rate: 100 Hz × 56 subcarriers, which is
what `BreathingExtractor.esp32_default()` is tuned for. The bench
asserts the *per-extract* cost is comfortably below 10 ms — at 100 Hz
that's the entire frame budget, so anything above 10 ms means the
Python binding would be the bottleneck instead of the radio.
Run with:
pytest python/bench/ --benchmark-only
The benchmarks are skipped by default (`addopts` in pyproject.toml
doesn't include them) — they live in a sibling `bench/` directory
so the main test run stays fast.
"""
from __future__ import annotations
import math
from random import Random
import pytest
from wifi_densepose import BreathingExtractor, HeartRateExtractor
def _synth_frame(n_subcarriers: int, sample_rate: float, t: float, freq_hz: float, rng: Random) -> tuple[list[float], list[float]]:
"""Build one ESP32-shape frame at time `t`: sine at `freq_hz` plus
tiny per-subcarrier noise."""
base = math.sin(2.0 * math.pi * freq_hz * t)
residuals = [base + rng.gauss(0.0, 0.01) for _ in range(n_subcarriers)]
weights = [1.0] * n_subcarriers
return residuals, weights
def test_breathing_extract_per_frame_cost(benchmark) -> None:
"""One BreathingExtractor.extract() at ESP32 defaults should
finish well under 10 ms — that's the 100 Hz frame budget."""
br = BreathingExtractor.esp32_default()
rng = Random(42)
# Pre-fill ~25 seconds of history so the bench measures the
# steady-state cost, not the cold-start cost.
for i in range(2500):
residuals, weights = _synth_frame(56, 100.0, i / 100.0, 0.25, rng)
br.extract(residuals=residuals, weights=weights)
def _one_frame():
residuals, weights = _synth_frame(56, 100.0, 30.0, 0.25, rng)
return br.extract(residuals=residuals, weights=weights)
benchmark(_one_frame)
def test_heart_rate_extract_per_frame_cost(benchmark) -> None:
"""One HeartRateExtractor.extract() at ESP32 defaults — same 10 ms
target."""
hr = HeartRateExtractor.esp32_default()
rng = Random(43)
for i in range(1500):
residuals, weights = _synth_frame(56, 100.0, i / 100.0, 1.2, rng)
hr.extract(residuals=residuals, weights=weights)
def _one_frame():
residuals, weights = _synth_frame(56, 100.0, 16.0, 1.2, rng)
return hr.extract(residuals=residuals, weights=weights)
benchmark(_one_frame)
@pytest.mark.parametrize("n_subcarriers", [56, 114, 242])
def test_breathing_extract_scaling(benchmark, n_subcarriers: int) -> None:
"""Sanity check: cost should scale roughly linearly with the
subcarrier count. Catches accidental O(n^2) regressions."""
sample_rate = 100.0
br = BreathingExtractor(n_subcarriers, sample_rate, 30.0)
rng = Random(n_subcarriers)
for i in range(2500):
residuals, weights = _synth_frame(n_subcarriers, sample_rate, i / sample_rate, 0.25, rng)
br.extract(residuals=residuals, weights=weights)
def _one_frame():
residuals, weights = _synth_frame(n_subcarriers, sample_rate, 30.0, 0.25, rng)
return br.extract(residuals=residuals, weights=weights)
benchmark(_one_frame)

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# ADR-117 — `wifi-densepose` v2.x PyPI wheel
#
# This is the PyO3+maturin replacement for the legacy pure-Python
# `wifi-densepose==1.1.0` (last release 2025-06-07). One compiled
# extension module per OS/arch covers Python 3.10–3.13 via abi3.
[build-system]
requires = ["maturin>=1.7,<2.0"]
build-backend = "maturin"
[project]
name = "wifi-densepose"
version = "2.0.0a1"
description = "WiFi-based human pose estimation, vital sign extraction, and ambient intelligence from Channel State Information (CSI). PyO3 bindings for the Rust core."
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [
{ name = "rUv", email = "ruv@ruv.net" },
]
keywords = [
"wifi", "csi", "pose-estimation", "vital-signs",
"biometric", "ambient-intelligence", "home-assistant", "matter",
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Rust",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: System :: Hardware",
"Typing :: Typed",
]
dependencies = []
[project.optional-dependencies]
# ADR-117 §5.6 — pure-Python WS/MQTT client. Lands in P4.
client = [
"websockets>=12.0",
"paho-mqtt>=2.1",
]
# Developer dependencies for running the test suite + lint.
dev = [
"pytest>=8.0",
"pytest-asyncio>=0.23",
"ruff>=0.7",
"mypy>=1.13",
]
[project.urls]
Homepage = "https://github.com/ruvnet/RuView"
Repository = "https://github.com/ruvnet/RuView"
Issues = "https://github.com/ruvnet/RuView/issues"
Documentation = "https://github.com/ruvnet/RuView/tree/main/docs"
"ADR-117 (modernization plan)" = "https://github.com/ruvnet/RuView/blob/main/docs/adr/ADR-117-pip-wifi-densepose-modernization.md"
"Release notes (v0.7.0)" = "https://github.com/ruvnet/RuView/blob/main/docs/releases/v0.7.0-mqtt-matter.md"
# Console-script entry points wired up in P5 once the CLI shim exists.
# [project.scripts]
# wifi-densepose = "wifi_densepose.cli:main"
[tool.maturin]
# Layout: pyproject.toml + Cargo.toml live at `python/`; the
# python-source directory `wifi_densepose/` is a sibling (i.e. at
# `python/wifi_densepose/`). `python-source = "."` tells maturin to
# look for packages directly under the project root.
python-source = "."
module-name = "wifi_densepose._native"
features = ["pyo3/extension-module"]
# Strip debug symbols for smaller release wheels (ADR-117 §5.4 5 MB budget).
strip = true
[tool.pytest.ini_options]
minversion = "8.0"
testpaths = ["tests"]
addopts = "-v --strict-markers"
asyncio_mode = "auto"
[tool.ruff]
line-length = 100
target-version = "py310"
[tool.ruff.lint]
select = ["E", "F", "W", "I", "UP", "B"]
[tool.mypy]
python_version = "3.10"
strict = true
warn_unused_ignores = true
warn_redundant_casts = true

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# ruview
**Ambient intelligence from WiFi CSI.** Detect human presence, count
people, read breathing and heart rate, and estimate skeletal pose —
using only the WiFi signal already in your home. No cameras. No
wearables. Works through walls and in the dark.
`ruview` is the brand-facing meta-package for the
[RuView](https://github.com/ruvnet/RuView) sensing stack. It installs
the compiled PyO3 wheel published as
[`wifi-densepose`](https://pypi.org/project/wifi-densepose/) and
re-exports its full API under the `ruview` namespace — so you can
write either of these and they do the same thing:
```python
from ruview import BreathingExtractor, SensingClient
from wifi_densepose import BreathingExtractor, SensingClient
```
## Install
```bash
pip install ruview # core DSP
pip install "ruview[client]" # + WebSocket/MQTT clients
```
## Usage
```python
from ruview import BreathingExtractor
br = BreathingExtractor.esp32_default() # 56 subcarriers @ 100 Hz, 30s window
for residuals, weights in csi_source:
est = br.extract(residuals=residuals, weights=weights)
if est is not None:
print(f"{est.value_bpm:.1f} BPM (confidence={est.confidence:.2f})")
```
Full API + WebSocket / MQTT / Home Assistant integration docs:
[wifi-densepose on PyPI](https://pypi.org/project/wifi-densepose/).
## Why two PyPI names?
Historic: `wifi-densepose` is the technical / academic name (the
project started as a WiFi-based DensePose implementation).
`ruview` is the brand the v2 ambient-intelligence platform ships
under. Both are the same code. You pick the import that reads
better in your project.
## Links
- **Repository** — https://github.com/ruvnet/RuView
- **Modernization plan** — [ADR-117](https://github.com/ruvnet/RuView/blob/main/docs/adr/ADR-117-pip-wifi-densepose-modernization.md)
- **Issues** — https://github.com/ruvnet/RuView/issues
## License
MIT.

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# ADR-117 sibling release — `ruview` meta-package.
#
# Pure-Python wheel that re-exports everything from `wifi-densepose`
# under the alias `ruview`. They're the same code, distributed under
# two PyPI names so users can `pip install ruview` (the brand) or
# `pip install wifi-densepose` (the technical name) — both end up
# with the same compiled DSP available.
#
# Build:
# cd python/ruview-meta
# python -m build
[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"
[project]
name = "ruview"
version = "2.0.0a1"
description = "RuView — ambient intelligence from WiFi CSI. Meta-package; installs `wifi-densepose` and re-exports it under the `ruview` namespace. See https://github.com/ruvnet/RuView."
readme = "README.md"
requires-python = ">=3.10"
license = { text = "MIT" }
authors = [{ name = "rUv", email = "ruv@ruv.net" }]
keywords = [
"wifi", "csi", "pose-estimation", "vital-signs",
"biometric", "ambient-intelligence", "home-assistant", "matter",
"ruview",
]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Typing :: Typed",
]
dependencies = [
# Pin to the matching v2 release so an alpha-pin `pip install ruview`
# always gets a compatible wifi-densepose.
"wifi-densepose==2.0.0a1",
]
[project.optional-dependencies]
client = ["wifi-densepose[client]==2.0.0a1"]
[project.urls]
Homepage = "https://github.com/ruvnet/RuView"
Repository = "https://github.com/ruvnet/RuView"
Issues = "https://github.com/ruvnet/RuView/issues"
Documentation = "https://github.com/ruvnet/RuView/tree/main/docs"
[tool.setuptools]
packages = ["ruview"]
package-dir = { "" = "src" }

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"""RuView — ambient intelligence from WiFi CSI.
This package is a thin alias around `wifi-densepose`. Both PyPI names
ship the same code and the same compiled Rust core; `ruview` is the
brand-facing name and `wifi-densepose` is the technical name. Pick
whichever you prefer:
pip install ruview
pip install wifi-densepose
Both make this work:
from ruview import BreathingExtractor, hello
# or equivalently:
from wifi_densepose import BreathingExtractor, hello
The actual compiled DSP, the Python facade, and every public class
live in `wifi_densepose` — `ruview` just re-exports the surface so the
two names are interchangeable in application code.
"""
from __future__ import annotations
import wifi_densepose as _wdp
# Re-export everything `wifi_densepose.__all__` declares.
for _name in _wdp.__all__:
globals()[_name] = getattr(_wdp, _name)
# Version + diagnostic fields — surface them under the ruview name
# too so users can `print(ruview.__rust_version__)` without reaching
# into the wifi_densepose module.
__version__: str = _wdp.__version__
__rust_version__: str = _wdp.__rust_version__
__rust_build_tag__: str = _wdp.__rust_build_tag__
__build_features__ = list(_wdp.__build_features__)
# The client sub-package is also aliased for symmetry.
try:
from wifi_densepose import client # type: ignore[import-not-found] # noqa: F401
except ImportError:
# client extras not installed — that's fine for the core import.
pass
__all__ = list(_wdp.__all__) + [
"__version__",
"__rust_version__",
"__rust_build_tag__",
"__build_features__",
]

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//! ADR-117 P3.5 — Beamforming Feedback Loop Data (BFLD) bindings.
//!
//! BFLD is the transmitter-side, AP-station-loop view of the WiFi
//! channel — compressed beamforming feedback frames that 802.11ac/ax/be
//! stations send to the AP per sounding cycle. See ADR-117 §5.7a for
//! the design rationale and ADR-117 §11.11/12 for open questions.
//!
//! **Important**: there is NO Rust ingestion crate for BFLD yet. The
//! Python types in this module ship with a **stub Rust impl** that
//! accepts pre-parsed feedback matrices via numpy. When the future
//! `wifi-densepose-bfld` crate lands, it plugs in here without changing
//! the Python API.
//!
//! Today's user path:
//!
//! 1. Capture BFR frames with `tcpdump` / Wireshark + the BFR dissector
//! (or via `mac80211` debugfs on Linux 6.10+)
//! 2. Parse the compressed feedback into a numpy Complex64 ndarray
//! `[Nr × Nc × Nsc]` using your favourite Python BFR parser
//! 3. Construct `BfldFrame.from_compressed_feedback(...)` to hand the
//! matrix to RuView
//!
//! Tomorrow (post-v2.0): `wifi-densepose-bfld` does steps 1+2 for you.
use pyo3::prelude::*;
use numpy::{Complex64, PyArray3, PyUntypedArrayMethods, PyReadonlyArray3};
// ─── BfldKind ────────────────────────────────────────────────────────
/// 802.11 PHY variant of the captured BFR frame. Determines the
/// expected matrix dimensions + the quantization step of the
/// compressed angles.
///
/// Python:
/// ```python
/// from wifi_densepose import BfldKind
/// BfldKind.CompressedHE80 # 802.11ax 80 MHz compressed BFR
/// ```
#[pyclass(eq, eq_int, hash, frozen, name = "BfldKind")]
#[derive(Clone, Copy, PartialEq, Eq, Hash, Debug)]
pub enum PyBfldKind {
CompressedHE20 = 0,
CompressedHE40 = 1,
CompressedHE80 = 2,
CompressedHE160 = 3,
UncompressedHT20 = 4,
UncompressedHT40 = 5,
}
#[pymethods]
impl PyBfldKind {
/// Expected number of subcarriers for this BFLD variant.
#[getter]
fn n_subcarriers(&self) -> usize {
match self {
Self::CompressedHE20 => 242,
Self::CompressedHE40 => 484,
Self::CompressedHE80 => 996,
Self::CompressedHE160 => 1992,
Self::UncompressedHT20 => 52,
Self::UncompressedHT40 => 108,
}
}
/// Bandwidth in MHz for this BFLD variant.
#[getter]
fn bandwidth_mhz(&self) -> u16 {
match self {
Self::CompressedHE20 | Self::UncompressedHT20 => 20,
Self::CompressedHE40 | Self::UncompressedHT40 => 40,
Self::CompressedHE80 => 80,
Self::CompressedHE160 => 160,
}
}
/// True for 802.11ax (HE) variants, false for legacy HT.
#[getter]
fn is_he(&self) -> bool {
matches!(
self,
Self::CompressedHE20
| Self::CompressedHE40
| Self::CompressedHE80
| Self::CompressedHE160
)
}
fn __repr__(&self) -> String {
let name = match self {
Self::CompressedHE20 => "CompressedHE20",
Self::CompressedHE40 => "CompressedHE40",
Self::CompressedHE80 => "CompressedHE80",
Self::CompressedHE160 => "CompressedHE160",
Self::UncompressedHT20 => "UncompressedHT20",
Self::UncompressedHT40 => "UncompressedHT40",
};
format!("BfldKind.{}", name)
}
}
// ─── BfldFrame ───────────────────────────────────────────────────────
/// One BFR snapshot: a compressed beamforming feedback matrix tagged
/// with metadata (timestamp, sounding sequence, source MAC, kind).
///
/// Backing storage: a numpy Complex64 ndarray `[Nr × Nc × Nsc]`. The
/// Python constructor accepts the ndarray directly; under the hood we
/// hold a `Vec<Complex64>` in row-major order.
///
/// Python:
/// ```python
/// import numpy as np
/// from wifi_densepose import BfldFrame, BfldKind
///
/// fb = np.zeros((2, 1, 996), dtype=np.complex64) # Nr=2, Nc=1, Nsc=996
/// frame = BfldFrame.from_compressed_feedback(
/// timestamp_ms=1234,
/// sounding_index=42,
/// sta_mac="aa:bb:cc:dd:ee:ff",
/// kind=BfldKind.CompressedHE80,
/// feedback_matrix=fb,
/// )
/// print(frame.n_subcarriers, frame.kind, frame.n_rows, frame.n_cols)
/// ```
#[pyclass(frozen, name = "BfldFrame")]
pub struct PyBfldFrame {
timestamp_ms: i64,
sounding_index: u32,
sta_mac: String,
kind: PyBfldKind,
n_rows: usize,
n_cols: usize,
n_subcarriers: usize,
// Row-major storage of the [Nr × Nc × Nsc] complex matrix.
// Length = n_rows * n_cols * n_subcarriers.
matrix: Vec<Complex64>,
}
#[pymethods]
impl PyBfldFrame {
/// Construct from a pre-parsed Complex64 ndarray of shape
/// `[n_rows, n_cols, n_subcarriers]`. The last dimension MUST
/// match `kind.n_subcarriers`.
#[staticmethod]
fn from_compressed_feedback<'py>(
timestamp_ms: i64,
sounding_index: u32,
sta_mac: &str,
kind: PyBfldKind,
feedback_matrix: PyReadonlyArray3<'py, Complex64>,
) -> PyResult<Self> {
let shape = feedback_matrix.shape();
let n_rows = shape[0];
let n_cols = shape[1];
let n_subcarriers = shape[2];
let expected = kind.n_subcarriers();
if n_subcarriers != expected {
return Err(pyo3::exceptions::PyValueError::new_err(format!(
"feedback_matrix subcarrier dim {} does not match {:?}.n_subcarriers={}",
n_subcarriers, kind, expected
)));
}
// Copy into row-major Vec. This is the safe path; PyArray3 is
// also row-major by default.
let matrix: Vec<Complex64> = feedback_matrix
.as_array()
.iter()
.copied()
.collect();
Ok(Self {
timestamp_ms,
sounding_index,
sta_mac: sta_mac.to_string(),
kind,
n_rows,
n_cols,
n_subcarriers,
matrix,
})
}
#[getter]
fn timestamp_ms(&self) -> i64 { self.timestamp_ms }
#[getter]
fn sounding_index(&self) -> u32 { self.sounding_index }
#[getter]
fn sta_mac(&self) -> &str { &self.sta_mac }
#[getter]
fn kind(&self) -> PyBfldKind { self.kind }
#[getter]
fn n_rows(&self) -> usize { self.n_rows }
#[getter]
fn n_cols(&self) -> usize { self.n_cols }
#[getter]
fn n_subcarriers(&self) -> usize { self.n_subcarriers }
/// Mean amplitude across the entire matrix (sanity-check metric;
/// production-grade sensing pipelines look at per-subcarrier or
/// per-row stats instead).
#[getter]
fn mean_amplitude(&self) -> f64 {
if self.matrix.is_empty() {
return 0.0;
}
let sum: f64 = self.matrix.iter().map(|c| c.norm()).sum();
sum / self.matrix.len() as f64
}
/// Return the feedback matrix as a numpy Complex64 ndarray of
/// shape `[n_rows, n_cols, n_subcarriers]`. Allocates a fresh
/// Python-owned array; the BfldFrame keeps its own copy.
fn feedback_matrix<'py>(&self, py: Python<'py>) -> Bound<'py, PyArray3<Complex64>> {
PyArray3::from_vec3_bound(
py,
&self.reshape_to_vec3(),
)
.expect("Vec dimensions match the matrix shape — invariant of from_compressed_feedback")
}
fn __repr__(&self) -> String {
format!(
"BfldFrame(kind={:?}, nr={}, nc={}, nsc={}, sta={}, idx={}, mean_amp={:.4})",
self.kind, self.n_rows, self.n_cols, self.n_subcarriers,
self.sta_mac, self.sounding_index, self.mean_amplitude(),
)
}
}
impl PyBfldFrame {
fn reshape_to_vec3(&self) -> Vec<Vec<Vec<Complex64>>> {
let mut out = Vec::with_capacity(self.n_rows);
for r in 0..self.n_rows {
let mut row = Vec::with_capacity(self.n_cols);
for c in 0..self.n_cols {
let start = (r * self.n_cols + c) * self.n_subcarriers;
let end = start + self.n_subcarriers;
row.push(self.matrix[start..end].to_vec());
}
out.push(row);
}
out
}
}
// ─── BfldReport ──────────────────────────────────────────────────────
/// Aggregator over a window of `BfldFrame`s — the natural "all BFR
/// data in this 60-second scan" container. Mirrors how `VitalReading`
/// aggregates `VitalEstimate`s in the vitals pipeline.
#[pyclass(name = "BfldReport")]
pub struct PyBfldReport {
frames: Vec<u32>, // sounding indices we hold (don't deep-copy the matrices)
timestamp_first: Option<i64>,
timestamp_last: Option<i64>,
kind: Option<PyBfldKind>,
mean_amplitudes: Vec<f64>, // one per frame
}
#[pymethods]
impl PyBfldReport {
#[new]
fn new() -> Self {
Self {
frames: Vec::new(),
timestamp_first: None,
timestamp_last: None,
kind: None,
mean_amplitudes: Vec::new(),
}
}
/// Add a frame to the report. All frames must share the same
/// `kind`; the call errors if they don't.
fn add_frame(&mut self, frame: &PyBfldFrame) -> PyResult<()> {
if let Some(k) = self.kind {
if k != frame.kind {
return Err(pyo3::exceptions::PyValueError::new_err(format!(
"frame kind {:?} does not match report kind {:?}",
frame.kind, k
)));
}
} else {
self.kind = Some(frame.kind);
}
self.frames.push(frame.sounding_index);
self.timestamp_first = Some(self.timestamp_first.unwrap_or(frame.timestamp_ms).min(frame.timestamp_ms));
self.timestamp_last = Some(self.timestamp_last.unwrap_or(frame.timestamp_ms).max(frame.timestamp_ms));
self.mean_amplitudes.push(frame.mean_amplitude());
Ok(())
}
#[getter]
fn n_frames(&self) -> usize { self.frames.len() }
#[getter]
fn timestamp_first(&self) -> Option<i64> { self.timestamp_first }
#[getter]
fn timestamp_last(&self) -> Option<i64> { self.timestamp_last }
#[getter]
fn kind(&self) -> Option<PyBfldKind> { self.kind }
/// Mean of the per-frame mean amplitudes — coarse sanity metric
/// for "the scan captured a stable signal over the window".
#[getter]
fn coherence_score(&self) -> f64 {
if self.mean_amplitudes.is_empty() {
return 0.0;
}
let mean = self.mean_amplitudes.iter().sum::<f64>()
/ self.mean_amplitudes.len() as f64;
if mean == 0.0 {
return 0.0;
}
// Inverse coefficient of variation, clamped to [0, 1].
let var = self.mean_amplitudes.iter()
.map(|m| (m - mean).powi(2))
.sum::<f64>()
/ self.mean_amplitudes.len() as f64;
let cv = var.sqrt() / mean;
(1.0 - cv.min(1.0)).max(0.0)
}
fn __repr__(&self) -> String {
format!(
"BfldReport(n_frames={}, kind={:?}, coherence={:.3})",
self.frames.len(), self.kind, self.coherence_score(),
)
}
}
pub fn register(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyBfldKind>()?;
m.add_class::<PyBfldFrame>()?;
m.add_class::<PyBfldReport>()?;
Ok(())
}

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//! ADR-117 P2 — PyO3 bindings for `wifi_densepose_core::Keypoint` +
//! `KeypointType` + `Confidence`.
//!
//! Design notes (consequential for the Python API surface):
//!
//! 1. **`Confidence` is NOT bound as a separate Python class.** End
//! users hate having to construct a wrapper just to pass a float.
//! Python-side, confidence is just an `f32` in `[0.0, 1.0]`; the
//! binding validates on the way in.
//!
//! 2. **`KeypointType` is bound as a `#[pyclass]` enum** (PyO3 0.22
//! supports `#[pyclass(eq, eq_int)]` for C-like enums). Python-side
//! it surfaces as `wifi_densepose.KeypointType.Nose`, etc.
//!
//! 3. **`Keypoint` constructor accepts `z` as `Optional[float]`** so
//! Python users can pass `Keypoint(KeypointType.Nose, 0.5, 0.3,
//! 0.95)` for 2D or `Keypoint(..., z=0.1)` for 3D.
use pyo3::prelude::*;
use wifi_densepose_core::{Confidence, Keypoint, KeypointType};
// ─── KeypointType ────────────────────────────────────────────────────
/// COCO-17 keypoint identifier — re-export of the Rust core enum.
///
/// Python:
/// ```python
/// from wifi_densepose import KeypointType
/// kp = KeypointType.Nose
/// print(kp.name) # "Nose"
/// ```
// `hash` makes the enum hashable in Python (usable as dict keys + set
// members) — derived from `Hash` on the Rust side. `frozen` is a
// hard requirement for `hash` per pyo3 contract.
#[pyclass(eq, eq_int, hash, frozen, name = "KeypointType")]
#[derive(Clone, Copy, PartialEq, Eq, Hash)]
pub enum PyKeypointType {
Nose = 0,
LeftEye = 1,
RightEye = 2,
LeftEar = 3,
RightEar = 4,
LeftShoulder = 5,
RightShoulder = 6,
LeftElbow = 7,
RightElbow = 8,
LeftWrist = 9,
RightWrist = 10,
LeftHip = 11,
RightHip = 12,
LeftKnee = 13,
RightKnee = 14,
LeftAnkle = 15,
RightAnkle = 16,
}
#[pymethods]
impl PyKeypointType {
/// Lowercase snake_case name (matches the COCO standard).
#[getter]
fn snake_name(&self) -> &'static str {
self.as_rust().name()
}
/// Integer index 0–16 (COCO ordering).
#[getter]
fn index(&self) -> u8 {
(*self).into()
}
/// True if this keypoint is on the face (nose, eyes, ears).
fn is_face(&self) -> bool {
self.as_rust().is_face()
}
/// True if this keypoint is in the upper body (shoulders, elbows, wrists).
fn is_upper_body(&self) -> bool {
self.as_rust().is_upper_body()
}
/// All 17 keypoint types in COCO order. Useful for Jupyter
/// enumeration: `for kp in KeypointType.all(): ...`.
#[staticmethod]
fn all() -> Vec<Self> {
KeypointType::all().iter().map(|k| PyKeypointType::from_rust(*k)).collect()
}
fn __repr__(&self) -> String {
format!("KeypointType.{:?}", self.as_rust())
}
}
impl PyKeypointType {
pub(crate) fn as_rust(&self) -> KeypointType {
// SAFETY equivalent: the enum variants line up 1:1 with the
// Rust enum's `#[repr(u8)]` discriminants. The match below is
// exhaustive on both sides so a future addition to either side
// fails to compile until the other is updated.
match self {
Self::Nose => KeypointType::Nose,
Self::LeftEye => KeypointType::LeftEye,
Self::RightEye => KeypointType::RightEye,
Self::LeftEar => KeypointType::LeftEar,
Self::RightEar => KeypointType::RightEar,
Self::LeftShoulder => KeypointType::LeftShoulder,
Self::RightShoulder => KeypointType::RightShoulder,
Self::LeftElbow => KeypointType::LeftElbow,
Self::RightElbow => KeypointType::RightElbow,
Self::LeftWrist => KeypointType::LeftWrist,
Self::RightWrist => KeypointType::RightWrist,
Self::LeftHip => KeypointType::LeftHip,
Self::RightHip => KeypointType::RightHip,
Self::LeftKnee => KeypointType::LeftKnee,
Self::RightKnee => KeypointType::RightKnee,
Self::LeftAnkle => KeypointType::LeftAnkle,
Self::RightAnkle => KeypointType::RightAnkle,
}
}
pub(crate) fn from_rust(k: KeypointType) -> Self {
match k {
KeypointType::Nose => Self::Nose,
KeypointType::LeftEye => Self::LeftEye,
KeypointType::RightEye => Self::RightEye,
KeypointType::LeftEar => Self::LeftEar,
KeypointType::RightEar => Self::RightEar,
KeypointType::LeftShoulder => Self::LeftShoulder,
KeypointType::RightShoulder => Self::RightShoulder,
KeypointType::LeftElbow => Self::LeftElbow,
KeypointType::RightElbow => Self::RightElbow,
KeypointType::LeftWrist => Self::LeftWrist,
KeypointType::RightWrist => Self::RightWrist,
KeypointType::LeftHip => Self::LeftHip,
KeypointType::RightHip => Self::RightHip,
KeypointType::LeftKnee => Self::LeftKnee,
KeypointType::RightKnee => Self::RightKnee,
KeypointType::LeftAnkle => Self::LeftAnkle,
KeypointType::RightAnkle => Self::RightAnkle,
}
}
}
impl From<PyKeypointType> for u8 {
fn from(k: PyKeypointType) -> u8 {
k as u8
}
}
impl PyKeypoint {
/// Rust-side accessor for the inner Keypoint (used by pose.rs).
/// Not exposed to Python — Python users go through the
/// #[pymethods] getters above.
pub(crate) fn inner(&self) -> &Keypoint {
&self.inner
}
/// Rust-side constructor from a core Keypoint (used by pose.rs
/// when re-wrapping outputs of PersonPose methods).
pub(crate) fn from_rust(k: Keypoint) -> Self {
Self { inner: k }
}
}
// ─── Keypoint ────────────────────────────────────────────────────────
/// Single skeletal joint with COCO type, 2D-or-3D position, and a
/// confidence score in [0.0, 1.0].
///
/// Python:
/// ```python
/// from wifi_densepose import Keypoint, KeypointType
///
/// kp = Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95)
/// print(kp.x, kp.y, kp.confidence, kp.is_visible)
///
/// kp_3d = Keypoint(KeypointType.LeftWrist, 0.2, 0.4, 0.8, z=0.1)
/// print(kp_3d.position_3d) # (0.2, 0.4, 0.1)
/// ```
#[pyclass(frozen, name = "Keypoint")]
#[derive(Clone)]
pub struct PyKeypoint {
inner: Keypoint,
}
#[pymethods]
impl PyKeypoint {
/// Construct a new keypoint. Confidence must be in [0.0, 1.0].
/// `z` is optional — omit for a 2D keypoint, supply for 3D.
#[new]
#[pyo3(signature = (keypoint_type, x, y, confidence, *, z=None))]
fn new(
keypoint_type: PyKeypointType,
x: f32,
y: f32,
confidence: f32,
z: Option<f32>,
) -> PyResult<Self> {
let conf = Confidence::new(confidence).map_err(|e| {
pyo3::exceptions::PyValueError::new_err(e.to_string())
})?;
let inner = match z {
Some(zv) => Keypoint::new_3d(keypoint_type.as_rust(), x, y, zv, conf),
None => Keypoint::new(keypoint_type.as_rust(), x, y, conf),
};
Ok(Self { inner })
}
/// COCO keypoint type.
#[getter]
fn keypoint_type(&self) -> PyKeypointType {
PyKeypointType::from_rust(self.inner.keypoint_type)
}
/// X coordinate.
#[getter]
fn x(&self) -> f32 {
self.inner.x
}
/// Y coordinate.
#[getter]
fn y(&self) -> f32 {
self.inner.y
}
/// Z coordinate, or None for 2D keypoints.
#[getter]
fn z(&self) -> Option<f32> {
self.inner.z
}
/// Detection confidence in [0.0, 1.0].
#[getter]
fn confidence(&self) -> f32 {
self.inner.confidence.value()
}
/// True if this keypoint clears the default visibility threshold
/// (`confidence >= 0.5`).
#[getter]
fn is_visible(&self) -> bool {
self.inner.is_visible()
}
/// 2D position as a tuple `(x, y)`.
#[getter]
fn position_2d(&self) -> (f32, f32) {
self.inner.position_2d()
}
/// 3D position as a tuple `(x, y, z)`, or None for 2D keypoints.
#[getter]
fn position_3d(&self) -> Option<(f32, f32, f32)> {
self.inner.position_3d()
}
/// Euclidean distance to another keypoint. If both are 3D the
/// distance includes the z-axis; otherwise it's 2D only.
fn distance_to(&self, other: &PyKeypoint) -> f32 {
self.inner.distance_to(&other.inner)
}
fn __repr__(&self) -> String {
match self.inner.z {
Some(z) => format!(
"Keypoint(KeypointType.{:?}, x={}, y={}, z={}, confidence={:.4})",
self.inner.keypoint_type, self.inner.x, self.inner.y, z, self.inner.confidence.value()
),
None => format!(
"Keypoint(KeypointType.{:?}, x={}, y={}, confidence={:.4})",
self.inner.keypoint_type, self.inner.x, self.inner.y, self.inner.confidence.value()
),
}
}
fn __eq__(&self, other: &PyKeypoint) -> bool {
self.inner.keypoint_type == other.inner.keypoint_type
&& self.inner.x == other.inner.x
&& self.inner.y == other.inner.y
&& self.inner.z == other.inner.z
&& (self.inner.confidence.value() - other.inner.confidence.value()).abs() < f32::EPSILON
}
}
/// Register the binding types with the `_native` PyModule.
pub fn register(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyKeypointType>()?;
m.add_class::<PyKeypoint>()?;
Ok(())
}

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//! ADR-117 P2 — PyO3 bindings for `BoundingBox`, `PersonPose`,
//! `PoseEstimate`.
//!
//! Design notes:
//!
//! 1. **`PersonPose` exposes the 17-keypoint array as a Python dict
//! keyed by `KeypointType`**, not as a fixed-length list with
//! `None` slots. Pythonistas don't want to know that the underlying
//! storage is `[Option<Keypoint>; 17]`.
//!
//! 2. **`PoseEstimate` metadata `id` and `timestamp` are exposed as
//! strings** (UUID + RFC 3339) rather than as bound types. Users
//! in notebooks rarely need to compare UUIDs structurally; strings
//! are good enough and don't require binding `FrameId` /
//! `Timestamp` as separate classes.
//!
//! 3. **`PersonPose` is mutable** via `set_keypoint` / `set_bbox` /
//! `set_id` — it's a builder-style type users construct
//! incrementally. Hence NOT `#[pyclass(frozen)]`.
//!
//! 4. **`PoseEstimate` is frozen** — once constructed, the list of
//! persons + the metadata don't change.
use std::collections::HashMap;
use pyo3::prelude::*;
use pyo3::types::PyDict;
use wifi_densepose_core::{
BoundingBox, Confidence, KeypointType, PersonPose, PoseEstimate,
};
use super::keypoint::{PyKeypoint, PyKeypointType};
// ─── BoundingBox ─────────────────────────────────────────────────────
/// Axis-aligned bounding box around a detected person.
///
/// Python:
/// ```python
/// from wifi_densepose import BoundingBox
///
/// bb = BoundingBox(0.1, 0.2, 0.5, 0.7)
/// print(bb.width, bb.height, bb.area, bb.center)
/// bb2 = BoundingBox.from_center(0.3, 0.45, 0.4, 0.5)
/// print(bb.iou(bb2))
/// ```
#[pyclass(frozen, name = "BoundingBox")]
#[derive(Clone)]
pub struct PyBoundingBox {
inner: BoundingBox,
}
#[pymethods]
impl PyBoundingBox {
#[new]
fn new(x_min: f32, y_min: f32, x_max: f32, y_max: f32) -> Self {
Self { inner: BoundingBox::new(x_min, y_min, x_max, y_max) }
}
/// Construct from center point + width + height.
#[staticmethod]
fn from_center(cx: f32, cy: f32, width: f32, height: f32) -> Self {
Self { inner: BoundingBox::from_center(cx, cy, width, height) }
}
#[getter]
fn x_min(&self) -> f32 { self.inner.x_min }
#[getter]
fn y_min(&self) -> f32 { self.inner.y_min }
#[getter]
fn x_max(&self) -> f32 { self.inner.x_max }
#[getter]
fn y_max(&self) -> f32 { self.inner.y_max }
#[getter]
fn width(&self) -> f32 { self.inner.width() }
#[getter]
fn height(&self) -> f32 { self.inner.height() }
#[getter]
fn area(&self) -> f32 { self.inner.area() }
#[getter]
fn center(&self) -> (f32, f32) { self.inner.center() }
/// Intersection over Union (IoU) with another box. Range [0.0, 1.0].
fn iou(&self, other: &PyBoundingBox) -> f32 {
self.inner.iou(&other.inner)
}
fn __repr__(&self) -> String {
format!(
"BoundingBox(x_min={}, y_min={}, x_max={}, y_max={})",
self.inner.x_min, self.inner.y_min, self.inner.x_max, self.inner.y_max,
)
}
fn __eq__(&self, other: &PyBoundingBox) -> bool {
self.inner == other.inner
}
}
impl PyBoundingBox {
pub(crate) fn from_rust(bb: BoundingBox) -> Self {
Self { inner: bb }
}
}
// ─── PersonPose ──────────────────────────────────────────────────────
/// A single detected person with optional ID, up to 17 keypoints, and
/// an optional bounding box.
///
/// Python:
/// ```python
/// from wifi_densepose import PersonPose, Keypoint, KeypointType, BoundingBox
///
/// pose = PersonPose()
/// pose.set_keypoint(Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95))
/// pose.set_keypoint(Keypoint(KeypointType.LeftShoulder, 0.4, 0.5, 0.92))
/// pose.set_id(7)
/// print(pose.visible_keypoint_count) # 2
/// print(pose.get_keypoint(KeypointType.Nose).confidence) # 0.95
/// print(pose.compute_bounding_box()) # auto-derived from visible kp
/// ```
#[pyclass(name = "PersonPose")]
#[derive(Clone)]
pub struct PyPersonPose {
inner: PersonPose,
}
#[pymethods]
impl PyPersonPose {
/// Construct an empty person pose. Set keypoints + bbox + id with
/// the dedicated methods.
#[new]
fn new() -> Self {
Self { inner: PersonPose::new() }
}
/// Per-person track ID. None until set.
#[getter]
fn id(&self) -> Option<u32> {
self.inner.id
}
fn set_id(&mut self, id: u32) {
self.inner.id = Some(id);
}
/// Set or replace a keypoint. The keypoint's type determines its
/// slot in the internal 17-element array.
fn set_keypoint(&mut self, keypoint: PyKeypoint) {
self.inner.set_keypoint(*keypoint.inner());
}
/// Get a keypoint by type, or None if not set.
fn get_keypoint(&self, keypoint_type: PyKeypointType) -> Option<PyKeypoint> {
let kp = self.inner.get_keypoint(keypoint_type.as_rust())?;
// Re-wrap the inner Rust Keypoint for Python.
Some(PyKeypoint::from_rust(*kp))
}
/// All keypoints as a dict keyed by KeypointType. Missing
/// keypoints are omitted (NOT included with None values).
fn keypoints<'py>(&self, py: Python<'py>) -> PyResult<Bound<'py, PyDict>> {
// PyO3 0.22 — PyDict::new_bound returns a Bound, the legacy
// PyDict::new (returning &PyDict) was removed in 0.21.
let dict = PyDict::new_bound(py);
for (i, kp_opt) in self.inner.keypoints.iter().enumerate() {
if let Some(kp) = kp_opt {
let kpt = match KeypointType::all().get(i) {
Some(t) => *t,
None => continue,
};
// Convert through IntoPy to satisfy ToPyObject bound
// for dict.set_item — #[pyclass] types impl IntoPy but
// not ToPyObject directly in PyO3 0.22.
use pyo3::IntoPy;
let k_obj: PyObject = PyKeypointType::from_rust(kpt).into_py(py);
let v_obj: PyObject = PyKeypoint::from_rust(*kp).into_py(py);
dict.set_item(k_obj, v_obj)?;
}
}
Ok(dict)
}
/// Number of visible keypoints (confidence >= 0.5).
#[getter]
fn visible_keypoint_count(&self) -> usize {
self.inner.visible_keypoint_count()
}
/// List of visible keypoints (subset of the dict from
/// `keypoints()`).
fn visible_keypoints(&self) -> Vec<PyKeypoint> {
self.inner
.visible_keypoints()
.into_iter()
.map(|k| PyKeypoint::from_rust(*k))
.collect()
}
/// Bounding box, if previously set or computed.
#[getter]
fn bounding_box(&self) -> Option<PyBoundingBox> {
self.inner.bounding_box.map(PyBoundingBox::from_rust)
}
fn set_bounding_box(&mut self, bb: PyBoundingBox) {
self.inner.bounding_box = Some(bb.inner);
}
/// Auto-compute bounding box from visible keypoints, set it
/// internally, and return it. Returns None if no keypoints visible.
fn compute_bounding_box(&mut self) -> Option<PyBoundingBox> {
let bb = self.inner.compute_bounding_box()?;
self.inner.bounding_box = Some(bb);
Some(PyBoundingBox::from_rust(bb))
}
/// Overall confidence in [0.0, 1.0].
#[getter]
fn confidence(&self) -> f32 {
self.inner.confidence.value()
}
fn set_confidence(&mut self, c: f32) -> PyResult<()> {
self.inner.confidence = Confidence::new(c).map_err(|e| {
pyo3::exceptions::PyValueError::new_err(e.to_string())
})?;
Ok(())
}
fn __repr__(&self) -> String {
format!(
"PersonPose(id={:?}, visible_keypoints={}, confidence={:.4})",
self.inner.id,
self.inner.visible_keypoint_count(),
self.inner.confidence.value(),
)
}
}
impl PyPersonPose {
pub(crate) fn from_rust(pose: PersonPose) -> Self {
Self { inner: pose }
}
}
// ─── PoseEstimate ────────────────────────────────────────────────────
/// Top-level result of a pose-estimation pass — a list of detected
/// persons plus metadata about the inference run.
///
/// Python:
/// ```python
/// from wifi_densepose import PoseEstimate, PersonPose
///
/// est = PoseEstimate([pose1, pose2], confidence=0.87, latency_ms=8.4,
/// model_version="v0.1.0")
/// print(est.person_count, est.has_detections)
/// best = est.highest_confidence_person()
/// ```
#[pyclass(frozen, name = "PoseEstimate")]
pub struct PyPoseEstimate {
inner: PoseEstimate,
}
#[pymethods]
impl PyPoseEstimate {
/// Construct a pose estimate from a list of detected persons,
/// an overall confidence, inference latency, and model version
/// string.
#[new]
fn new(
persons: Vec<PyPersonPose>,
confidence: f32,
latency_ms: f32,
model_version: String,
) -> PyResult<Self> {
let conf = Confidence::new(confidence).map_err(|e| {
pyo3::exceptions::PyValueError::new_err(e.to_string())
})?;
let rust_persons: Vec<PersonPose> =
persons.into_iter().map(|p| p.inner).collect();
Ok(Self {
inner: PoseEstimate::new(
Vec::new(),
rust_persons,
conf,
latency_ms,
model_version,
),
})
}
/// Unique frame identifier as a UUID string.
#[getter]
fn id(&self) -> String {
format!("{:?}", self.inner.id)
.trim_start_matches("FrameId(")
.trim_end_matches(')')
.to_string()
}
/// Frame timestamp as an RFC 3339 / ISO 8601 string in UTC.
#[getter]
fn timestamp(&self) -> String {
// Timestamp's Debug impl is usable; for a fully spec-compliant
// ISO format, a future refactor binds chrono. P2 string-form
// is "good enough" for diagnostics.
format!("{:?}", self.inner.timestamp)
}
#[getter]
fn persons(&self) -> Vec<PyPersonPose> {
self.inner.persons.iter().cloned().map(PyPersonPose::from_rust).collect()
}
#[getter]
fn confidence(&self) -> f32 {
self.inner.confidence.value()
}
#[getter]
fn latency_ms(&self) -> f32 {
self.inner.latency_ms
}
#[getter]
fn model_version(&self) -> &str {
&self.inner.model_version
}
#[getter]
fn person_count(&self) -> usize {
self.inner.person_count()
}
#[getter]
fn has_detections(&self) -> bool {
self.inner.has_detections()
}
/// Get the person with the highest individual confidence, or None
/// if no persons detected.
fn highest_confidence_person(&self) -> Option<PyPersonPose> {
self.inner
.highest_confidence_person()
.cloned()
.map(PyPersonPose::from_rust)
}
fn __repr__(&self) -> String {
format!(
"PoseEstimate(persons={}, confidence={:.4}, latency_ms={:.2}, model_version={:?})",
self.inner.person_count(),
self.inner.confidence.value(),
self.inner.latency_ms,
self.inner.model_version,
)
}
}
/// Suppress unused-import warnings for HashMap (held for future
/// keypoint-map helpers in P3).
#[allow(dead_code)]
fn _hashmap_kept_for_future_use() -> HashMap<u8, u8> {
HashMap::new()
}
pub fn register(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyBoundingBox>()?;
m.add_class::<PyPersonPose>()?;
m.add_class::<PyPoseEstimate>()?;
Ok(())
}

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//! ADR-117 P3 — PyO3 bindings for `wifi_densepose_vitals`.
//!
//! Surfaces:
//!
//! - `VitalStatus` enum — clinical-grade / degraded / unreliable / unavailable
//! - `VitalEstimate` — single BPM estimate + confidence + status
//! - `VitalReading` — combined HR + BR + signal quality snapshot
//! - `BreathingExtractor` — bandpass 0.1–0.5 Hz → respiratory rate
//! - `HeartRateExtractor` — bandpass 0.8–2.0 Hz + autocorrelation → HR
//!
//! ## GIL release strategy (per ADR-117 §7 and the Q5 audit on
//! 2026-05-24)
//!
//! `wifi-densepose-vitals` has zero tokio deps and the extract loops
//! are pure-sync DSP. Wrap the `.extract(...)` calls in
//! `py.allow_threads(|| ...)` so Python users can run inference in a
//! tokio-backed web server without GIL contention starving the
//! event loop.
use pyo3::prelude::*;
use wifi_densepose_vitals::{
BreathingExtractor, HeartRateExtractor, VitalEstimate, VitalReading, VitalStatus,
};
// ─── VitalStatus enum ────────────────────────────────────────────────
/// Status of a vital sign measurement.
///
/// Python:
/// ```python
/// from wifi_densepose import VitalStatus
/// VitalStatus.Valid # clinical-grade
/// VitalStatus.Degraded # reduced confidence
/// VitalStatus.Unreliable # single RSSI source / low quality
/// VitalStatus.Unavailable # no measurement possible
/// ```
#[pyclass(eq, eq_int, hash, frozen, name = "VitalStatus")]
#[derive(Clone, Copy, PartialEq, Eq, Hash)]
pub enum PyVitalStatus {
Valid = 0,
Degraded = 1,
Unreliable = 2,
Unavailable = 3,
}
#[pymethods]
impl PyVitalStatus {
fn __repr__(&self) -> String {
format!("VitalStatus.{:?}", self.as_rust())
}
}
impl PyVitalStatus {
fn as_rust(&self) -> VitalStatus {
match self {
Self::Valid => VitalStatus::Valid,
Self::Degraded => VitalStatus::Degraded,
Self::Unreliable => VitalStatus::Unreliable,
Self::Unavailable => VitalStatus::Unavailable,
}
}
fn from_rust(s: VitalStatus) -> Self {
match s {
VitalStatus::Valid => Self::Valid,
VitalStatus::Degraded => Self::Degraded,
VitalStatus::Unreliable => Self::Unreliable,
VitalStatus::Unavailable => Self::Unavailable,
}
}
}
// ─── VitalEstimate ───────────────────────────────────────────────────
/// A single vital-sign estimate (BPM + confidence + status).
///
/// Python:
/// ```python
/// from wifi_densepose import VitalEstimate, VitalStatus
/// est = VitalEstimate(72.4, confidence=0.9, status=VitalStatus.Valid)
/// print(est.value_bpm, est.confidence, est.status)
/// ```
#[pyclass(frozen, name = "VitalEstimate")]
#[derive(Clone)]
pub struct PyVitalEstimate {
inner: VitalEstimate,
}
#[pymethods]
impl PyVitalEstimate {
#[new]
fn new(value_bpm: f64, confidence: f64, status: PyVitalStatus) -> Self {
Self {
inner: VitalEstimate {
value_bpm,
confidence,
status: status.as_rust(),
},
}
}
#[getter]
fn value_bpm(&self) -> f64 { self.inner.value_bpm }
#[getter]
fn confidence(&self) -> f64 { self.inner.confidence }
#[getter]
fn status(&self) -> PyVitalStatus { PyVitalStatus::from_rust(self.inner.status) }
fn __repr__(&self) -> String {
format!(
"VitalEstimate(value_bpm={:.2}, confidence={:.3}, status={:?})",
self.inner.value_bpm, self.inner.confidence, self.inner.status,
)
}
}
impl PyVitalEstimate {
fn from_rust(e: VitalEstimate) -> Self {
Self { inner: e }
}
}
// ─── VitalReading ────────────────────────────────────────────────────
/// Combined HR + BR snapshot from one window of CSI data.
#[pyclass(frozen, name = "VitalReading")]
pub struct PyVitalReading {
inner: VitalReading,
}
#[pymethods]
impl PyVitalReading {
#[new]
fn new(
respiratory_rate: PyVitalEstimate,
heart_rate: PyVitalEstimate,
subcarrier_count: usize,
signal_quality: f64,
timestamp_secs: f64,
) -> Self {
Self {
inner: VitalReading {
respiratory_rate: respiratory_rate.inner,
heart_rate: heart_rate.inner,
subcarrier_count,
signal_quality,
timestamp_secs,
},
}
}
#[getter]
fn respiratory_rate(&self) -> PyVitalEstimate {
PyVitalEstimate::from_rust(self.inner.respiratory_rate.clone())
}
#[getter]
fn heart_rate(&self) -> PyVitalEstimate {
PyVitalEstimate::from_rust(self.inner.heart_rate.clone())
}
#[getter]
fn subcarrier_count(&self) -> usize { self.inner.subcarrier_count }
#[getter]
fn signal_quality(&self) -> f64 { self.inner.signal_quality }
#[getter]
fn timestamp_secs(&self) -> f64 { self.inner.timestamp_secs }
fn __repr__(&self) -> String {
format!(
"VitalReading(br={:.1}, hr={:.1}, subcarriers={}, quality={:.3})",
self.inner.respiratory_rate.value_bpm,
self.inner.heart_rate.value_bpm,
self.inner.subcarrier_count,
self.inner.signal_quality,
)
}
}
// ─── BreathingExtractor ──────────────────────────────────────────────
/// Extracts respiratory rate (6–30 BPM) from per-subcarrier amplitude
/// residuals via 0.1–0.5 Hz bandpass + zero-crossing analysis.
///
/// Python:
/// ```python
/// from wifi_densepose import BreathingExtractor
///
/// br = BreathingExtractor.esp32_default() # 56 subcarriers, 100 Hz, 30s window
/// # or: BreathingExtractor(n_subcarriers=56, sample_rate=100.0, window_secs=30.0)
///
/// # Feed residuals from your preprocessor (one frame at a time)
/// est = br.extract(residuals=[0.01, -0.02, …], weights=[]) # equal weights
/// if est is not None:
/// print(est.value_bpm, est.confidence)
/// ```
#[pyclass(name = "BreathingExtractor")]
pub struct PyBreathingExtractor {
inner: BreathingExtractor,
}
#[pymethods]
impl PyBreathingExtractor {
/// Construct with explicit parameters.
#[new]
#[pyo3(signature = (n_subcarriers, sample_rate, window_secs=30.0))]
fn new(n_subcarriers: usize, sample_rate: f64, window_secs: f64) -> Self {
Self {
inner: BreathingExtractor::new(n_subcarriers, sample_rate, window_secs),
}
}
/// ESP32 defaults: 56 subcarriers, 100 Hz, 30-second window.
#[staticmethod]
fn esp32_default() -> Self {
Self { inner: BreathingExtractor::esp32_default() }
}
/// Extract respiratory rate from a vector of per-subcarrier
/// residuals + per-subcarrier weights. GIL is released during the
/// DSP loop so Python threads can do other work concurrently.
///
/// Returns `None` if insufficient history has been accumulated.
fn extract(&mut self, py: Python<'_>, residuals: Vec<f64>, weights: Vec<f64>) -> Option<PyVitalEstimate> {
// GIL release: see ADR-117 §7 and the Q5 tokio audit. The DSP
// loop is pure sync, no Python objects touched, safe to run
// without the GIL.
let est = py.allow_threads(|| self.inner.extract(&residuals, &weights));
est.map(PyVitalEstimate::from_rust)
}
fn __repr__(&self) -> String {
format!("BreathingExtractor(0.1–0.5 Hz bandpass)")
}
}
// ─── HeartRateExtractor ──────────────────────────────────────────────
/// Extracts heart rate (40–120 BPM) from per-subcarrier amplitude
/// residuals via 0.8–2.0 Hz bandpass + autocorrelation peak detection.
#[pyclass(name = "HeartRateExtractor")]
pub struct PyHeartRateExtractor {
inner: HeartRateExtractor,
}
#[pymethods]
impl PyHeartRateExtractor {
/// Construct with explicit parameters.
#[new]
#[pyo3(signature = (n_subcarriers, sample_rate, window_secs=15.0))]
fn new(n_subcarriers: usize, sample_rate: f64, window_secs: f64) -> Self {
Self {
inner: HeartRateExtractor::new(n_subcarriers, sample_rate, window_secs),
}
}
/// ESP32 defaults: 56 subcarriers, 100 Hz, 15-second window.
#[staticmethod]
fn esp32_default() -> Self {
Self { inner: HeartRateExtractor::esp32_default() }
}
/// Extract heart rate from per-subcarrier residuals. GIL released
/// during DSP.
fn extract(&mut self, py: Python<'_>, residuals: Vec<f64>, weights: Vec<f64>) -> Option<PyVitalEstimate> {
let est = py.allow_threads(|| self.inner.extract(&residuals, &weights));
est.map(PyVitalEstimate::from_rust)
}
fn __repr__(&self) -> String {
format!("HeartRateExtractor(0.8–2.0 Hz bandpass)")
}
}
pub fn register(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyVitalStatus>()?;
m.add_class::<PyVitalEstimate>()?;
m.add_class::<PyVitalReading>()?;
m.add_class::<PyBreathingExtractor>()?;
m.add_class::<PyHeartRateExtractor>()?;
Ok(())
}

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//! ADR-117 — PyO3 bindings for the WiFi-DensePose Rust core.
//!
//! This crate is the compiled half of the `wifi-densepose` v2.x PyPI
//! wheel. The Python-facing facade lives in `python/wifi_densepose/`
//! and re-exports symbols from this module under their stable names.
//!
//! ## Phase status (per ADR-117 §6)
//!
//! - **P1 (scaffold) — this commit**: module loads, version constant
//! exposed, smoke test passes via maturin develop.
//! - **P2**: bind `CsiFrame`, `Keypoint`, `PoseEstimate` (next).
//! - **P3**: bind 4-stage vitals + signal DSP.
//! - **P4**: pure-Python `wifi_densepose.client` (WS/MQTT) — no Rust
//! surface needed; lives outside this crate.
//! - **P5**: cibuildwheel + PyPI publish.
use pyo3::prelude::*;
mod bindings {
pub mod bfld;
pub mod keypoint;
pub mod pose;
pub mod vitals;
}
/// Version of the bound Rust core. Surfaced to Python as
/// `wifi_densepose.__rust_version__` so users can correlate wheel
/// behaviour with the exact `v2/crates/` HEAD it was built from.
const RUST_CORE_VERSION: &str = env!("CARGO_PKG_VERSION");
/// Compile-time identifier for the Rust commit that produced this
/// wheel. Surfaced for diagnostics. Set via `CARGO_PKG_VERSION` for
/// now; P5 wires in the git SHA via `vergen`.
const RUST_BUILD_TAG: &str = env!("CARGO_PKG_VERSION");
/// One-line description of which feature flags were enabled at build
/// time. Helps users debug "is my wheel the slim one or the full one?".
fn build_features() -> Vec<&'static str> {
let mut feats: Vec<&'static str> = Vec::new();
feats.push("p1-scaffold");
feats.push("p2-keypoint-bindings"); // Keypoint + KeypointType
feats.push("p2-pose-bindings"); // BoundingBox + PersonPose + PoseEstimate
feats.push("p3-vitals-bindings"); // BreathingExtractor + HeartRateExtractor + VitalEstimate
feats.push("p3.5-bfld-bindings"); // BfldFrame + BfldReport + BfldKind (stub Rust)
feats
}
/// Quick smoke test exposed to Python. Returns "ok" — used by the
/// integration tests in `python/tests/test_smoke.py` to assert the
/// PyO3 module is importable and callable.
#[pyfunction]
fn hello() -> PyResult<&'static str> {
Ok("ok")
}
/// The `_native` module — re-exported in pure-Python as
/// `wifi_densepose._native`. End users should import the parent
/// package (`import wifi_densepose`) and never reach into `_native`
/// directly; the leading underscore is a Python convention marking
/// it as private.
///
/// The function name MUST match the `module-name` in pyproject.toml's
/// `[tool.maturin]` block — i.e. it must be `_native` because the
/// pyproject says `module-name = "wifi_densepose._native"`. PyO3
/// generates the `PyInit__native` symbol from this function name.
#[pymodule]
#[pyo3(name = "_native")]
fn wifi_densepose_native(m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add("__rust_version__", RUST_CORE_VERSION)?;
m.add("__rust_build_tag__", RUST_BUILD_TAG)?;
m.add("__build_features__", build_features())?;
m.add_function(wrap_pyfunction!(hello, m)?)?;
// P2 — Keypoint + KeypointType bindings.
bindings::keypoint::register(m)?;
// P2 — BoundingBox + PersonPose + PoseEstimate bindings.
bindings::pose::register(m)?;
// P3 — Vital sign extraction bindings.
bindings::vitals::register(m)?;
// P3.5 — BFLD bindings (stub Rust; future wifi-densepose-bfld crate
// will replace the stub without changing the Python API).
bindings::bfld::register(m)?;
Ok(())
}

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"""ADR-117 P3.5 — Tests for BFLD (Beamforming Feedback Loop Data) bindings.
These tests cover the *stub-Rust-backed* forward-compatible Python
surface defined in ADR-117 §5.7a. The real Rust ingestion crate
(`wifi-densepose-bfld`) lands post-v2.0; this test suite locks in the
Python API so a future swap-in is non-breaking.
Coverage:
- BfldKind enum — HE20/40/80/160 + HT20/40 variants
- BfldKind metadata getters — n_subcarriers, bandwidth_mhz, is_he
- BfldFrame.from_compressed_feedback — happy path + dim mismatch
- BfldFrame numpy round-trip — feedback_matrix returns ndarray
- BfldReport — frame aggregation, kind-mismatch error, coherence score
"""
from __future__ import annotations
import math
import numpy as np
import pytest
import wifi_densepose
from wifi_densepose import BfldFrame, BfldKind, BfldReport
# ─── BfldKind enum ───────────────────────────────────────────────────
def test_bfld_kind_variants_exist() -> None:
assert BfldKind.CompressedHE20 != BfldKind.CompressedHE40
assert BfldKind.CompressedHE80 != BfldKind.CompressedHE160
assert BfldKind.UncompressedHT20 != BfldKind.UncompressedHT40
def test_bfld_kind_is_hashable() -> None:
s = {BfldKind.CompressedHE80, BfldKind.CompressedHE80}
assert len(s) == 1
def test_bfld_kind_n_subcarriers_he() -> None:
assert BfldKind.CompressedHE20.n_subcarriers == 242
assert BfldKind.CompressedHE40.n_subcarriers == 484
assert BfldKind.CompressedHE80.n_subcarriers == 996
assert BfldKind.CompressedHE160.n_subcarriers == 1992
def test_bfld_kind_n_subcarriers_ht() -> None:
assert BfldKind.UncompressedHT20.n_subcarriers == 52
assert BfldKind.UncompressedHT40.n_subcarriers == 108
def test_bfld_kind_bandwidth_mhz() -> None:
assert BfldKind.CompressedHE20.bandwidth_mhz == 20
assert BfldKind.CompressedHE40.bandwidth_mhz == 40
assert BfldKind.CompressedHE80.bandwidth_mhz == 80
assert BfldKind.CompressedHE160.bandwidth_mhz == 160
assert BfldKind.UncompressedHT20.bandwidth_mhz == 20
assert BfldKind.UncompressedHT40.bandwidth_mhz == 40
def test_bfld_kind_is_he_flag() -> None:
assert BfldKind.CompressedHE20.is_he is True
assert BfldKind.CompressedHE160.is_he is True
assert BfldKind.UncompressedHT20.is_he is False
assert BfldKind.UncompressedHT40.is_he is False
def test_bfld_kind_repr() -> None:
r = repr(BfldKind.CompressedHE80)
assert "BfldKind" in r and "CompressedHE80" in r
# ─── BfldFrame construction ──────────────────────────────────────────
def _make_matrix(n_rows: int, n_cols: int, n_subcarriers: int) -> np.ndarray:
"""Synthetic feedback matrix with non-trivial amplitudes so the
mean_amplitude getter has something to chew on."""
rng = np.random.default_rng(seed=42)
real = rng.standard_normal((n_rows, n_cols, n_subcarriers)).astype(np.float64)
imag = rng.standard_normal((n_rows, n_cols, n_subcarriers)).astype(np.float64)
return (real + 1j * imag).astype(np.complex128)
def test_bfld_frame_he80_happy_path() -> None:
fb = _make_matrix(2, 1, 996)
frame = BfldFrame.from_compressed_feedback(
timestamp_ms=1234,
sounding_index=42,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE80,
feedback_matrix=fb,
)
assert frame.timestamp_ms == 1234
assert frame.sounding_index == 42
assert frame.sta_mac == "aa:bb:cc:dd:ee:ff"
assert frame.kind == BfldKind.CompressedHE80
assert frame.n_rows == 2
assert frame.n_cols == 1
assert frame.n_subcarriers == 996
def test_bfld_frame_he160_2x2() -> None:
fb = _make_matrix(2, 2, 1992)
frame = BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="00:00:00:00:00:00",
kind=BfldKind.CompressedHE160,
feedback_matrix=fb,
)
assert frame.n_rows == 2
assert frame.n_cols == 2
assert frame.n_subcarriers == 1992
def test_bfld_frame_ht20_legacy_path() -> None:
fb = _make_matrix(1, 1, 52)
frame = BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.UncompressedHT20,
feedback_matrix=fb,
)
assert frame.kind == BfldKind.UncompressedHT20
assert frame.n_subcarriers == 52
def test_bfld_frame_subcarrier_dim_mismatch_raises() -> None:
# HE80 requires 996 subcarriers; pass 64 → ValueError.
bad = _make_matrix(2, 1, 64)
with pytest.raises(ValueError, match="subcarrier"):
BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE80,
feedback_matrix=bad,
)
def test_bfld_frame_mean_amplitude_is_finite() -> None:
fb = _make_matrix(2, 1, 996)
frame = BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE80,
feedback_matrix=fb,
)
amp = frame.mean_amplitude
assert math.isfinite(amp) and amp > 0.0
def test_bfld_frame_numpy_roundtrip_preserves_shape() -> None:
fb = _make_matrix(2, 1, 996)
frame = BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE80,
feedback_matrix=fb,
)
out = frame.feedback_matrix()
assert out.shape == (2, 1, 996)
# Roundtrip should be lossless (Complex64 in, Complex64 out).
assert np.allclose(out, fb.astype(np.complex128))
def test_bfld_frame_repr_is_readable() -> None:
fb = _make_matrix(2, 1, 996)
frame = BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE80,
feedback_matrix=fb,
)
r = repr(frame)
assert "BfldFrame" in r
assert "996" in r
assert "CompressedHE80" in r
# ─── BfldReport ──────────────────────────────────────────────────────
def test_bfld_report_starts_empty() -> None:
report = BfldReport()
assert report.n_frames == 0
assert report.kind is None
assert report.timestamp_first is None
assert report.timestamp_last is None
assert report.coherence_score == 0.0
def test_bfld_report_aggregates_homogeneous_frames() -> None:
report = BfldReport()
fb = _make_matrix(2, 1, 996)
for i in range(5):
frame = BfldFrame.from_compressed_feedback(
timestamp_ms=1000 + i * 100,
sounding_index=i,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE80,
feedback_matrix=fb,
)
report.add_frame(frame)
assert report.n_frames == 5
assert report.kind == BfldKind.CompressedHE80
assert report.timestamp_first == 1000
assert report.timestamp_last == 1400
# Identical synthetic matrices → near-perfect coherence.
assert report.coherence_score >= 0.99
def test_bfld_report_rejects_mismatched_kind() -> None:
report = BfldReport()
fb_he80 = _make_matrix(2, 1, 996)
fb_he40 = _make_matrix(2, 1, 484)
he80 = BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE80,
feedback_matrix=fb_he80,
)
he40 = BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE40,
feedback_matrix=fb_he40,
)
report.add_frame(he80)
with pytest.raises(ValueError, match="kind"):
report.add_frame(he40)
def test_bfld_report_repr_summarises() -> None:
report = BfldReport()
fb = _make_matrix(2, 1, 996)
frame = BfldFrame.from_compressed_feedback(
timestamp_ms=0,
sounding_index=0,
sta_mac="aa:bb:cc:dd:ee:ff",
kind=BfldKind.CompressedHE80,
feedback_matrix=fb,
)
report.add_frame(frame)
r = repr(report)
assert "BfldReport" in r
assert "n_frames=1" in r
# ─── Build feature flag ──────────────────────────────────────────────
def test_p3_5_bfld_in_build_features() -> None:
assert "p3.5-bfld-bindings" in wifi_densepose.__build_features__

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"""ADR-117 P4 — Tests for HA-DISCO payload parsing.
Pure parsing tests — no MQTT broker needed.
"""
from __future__ import annotations
import json
import pytest
from wifi_densepose.client import (
HABlueprintHelper,
HaDiscoveryPayload,
HaEntity,
)
from wifi_densepose.client.ha import (
parse_discovery_payload,
parse_discovery_topic,
)
# Real discovery payloads pulled from ADR-115 §3 (formatted for test
# readability; payloads are otherwise verbatim).
_PRESENCE_TOPIC = "homeassistant/binary_sensor/wifi_densepose_aabbccddeeff/presence/config"
_PRESENCE_BODY = {
"name": "Presence",
"unique_id": "wifi_densepose_aabbccddeeff_presence",
"object_id": "wifi_densepose_aabbccddeeff_presence",
"state_topic": "homeassistant/binary_sensor/wifi_densepose_aabbccddeeff/presence/state",
"availability_topic": "homeassistant/binary_sensor/wifi_densepose_aabbccddeeff/presence/availability",
"device_class": "occupancy",
"icon": "mdi:motion-sensor",
}
_HEART_RATE_TOPIC = "homeassistant/sensor/wifi_densepose_aabbccddeeff/heart_rate/config"
_HEART_RATE_BODY = {
"name": "Heart rate",
"unique_id": "wifi_densepose_aabbccddeeff_heart_rate",
"state_topic": "homeassistant/sensor/wifi_densepose_aabbccddeeff/heart_rate/state",
"state_class": "measurement",
"unit_of_measurement": "bpm",
"icon": "mdi:heart-pulse",
"json_attributes_topic": "homeassistant/sensor/wifi_densepose_aabbccddeeff/heart_rate/state",
}
# ─── Topic parsing ───────────────────────────────────────────────────
def test_parse_discovery_topic_binary_sensor() -> None:
out = parse_discovery_topic(_PRESENCE_TOPIC)
assert out == ("binary_sensor", "aabbccddeeff", "presence")
def test_parse_discovery_topic_sensor() -> None:
out = parse_discovery_topic(_HEART_RATE_TOPIC)
assert out == ("sensor", "aabbccddeeff", "heart_rate")
def test_parse_discovery_topic_event() -> None:
out = parse_discovery_topic(
"homeassistant/event/wifi_densepose_aabbccddeeff/fall/config"
)
assert out == ("event", "aabbccddeeff", "fall")
def test_parse_discovery_topic_returns_none_for_non_discovery() -> None:
assert parse_discovery_topic("homeassistant/binary_sensor/foo/state") is None
assert parse_discovery_topic("ruview/aabbccddeeff/raw/edge_vitals") is None
assert parse_discovery_topic("") is None
# ─── Payload parsing ─────────────────────────────────────────────────
def test_parse_discovery_payload_from_dict() -> None:
out = parse_discovery_payload(_PRESENCE_TOPIC, _PRESENCE_BODY)
assert out is not None
assert out.entity_kind == "binary_sensor"
assert out.node_id == "aabbccddeeff"
assert out.object_id == "presence"
assert out.payload["device_class"] == "occupancy"
def test_parse_discovery_payload_from_bytes() -> None:
raw = json.dumps(_PRESENCE_BODY).encode("utf-8")
out = parse_discovery_payload(_PRESENCE_TOPIC, raw)
assert out is not None
assert out.payload["unique_id"] == "wifi_densepose_aabbccddeeff_presence"
def test_parse_discovery_payload_from_string() -> None:
raw = json.dumps(_PRESENCE_BODY)
out = parse_discovery_payload(_PRESENCE_TOPIC, raw)
assert out is not None
assert out.entity_kind == "binary_sensor"
def test_parse_discovery_payload_rejects_malformed_json() -> None:
assert parse_discovery_payload(_PRESENCE_TOPIC, "{ broken: json") is None
def test_parse_discovery_payload_rejects_non_object_root() -> None:
assert parse_discovery_payload(_PRESENCE_TOPIC, "[1, 2, 3]") is None
def test_parse_discovery_payload_returns_none_for_non_discovery_topic() -> None:
assert parse_discovery_payload(
"ruview/aabbccddeeff/raw/edge_vitals",
_PRESENCE_BODY,
) is None
# ─── HaEntity projection ─────────────────────────────────────────────
def test_ha_entity_from_payload_extracts_fields() -> None:
p = HaDiscoveryPayload(
entity_kind="sensor",
node_id="aabbccddeeff",
object_id="heart_rate",
payload=_HEART_RATE_BODY,
)
e = HaEntity.from_payload(p)
assert e.entity_kind == "sensor"
assert e.unique_id == "wifi_densepose_aabbccddeeff_heart_rate"
assert e.unit_of_measurement == "bpm"
assert e.icon == "mdi:heart-pulse"
assert e.json_attributes_topic == _HEART_RATE_BODY["json_attributes_topic"]
def test_ha_entity_handles_missing_optional_fields() -> None:
p = HaDiscoveryPayload(
entity_kind="event",
node_id="aabbccddeeff",
object_id="bed_exit",
payload={"unique_id": "wifi_densepose_aabbccddeeff_bed_exit"},
)
e = HaEntity.from_payload(p)
assert e.unique_id == "wifi_densepose_aabbccddeeff_bed_exit"
assert e.device_class == ""
assert e.unit_of_measurement == ""
# ─── HABlueprintHelper aggregation ───────────────────────────────────
def _populated_helper() -> HABlueprintHelper:
h = HABlueprintHelper()
h.add_payload(_PRESENCE_TOPIC, _PRESENCE_BODY)
h.add_payload(_HEART_RATE_TOPIC, _HEART_RATE_BODY)
# Same fields but a different node
h.add_payload(
"homeassistant/binary_sensor/wifi_densepose_ff00ff00ff00/presence/config",
{**_PRESENCE_BODY, "unique_id": "wifi_densepose_ff00ff00ff00_presence"},
)
return h
def test_helper_starts_empty() -> None:
h = HABlueprintHelper()
assert len(h) == 0
assert h.nodes() == []
assert h.all_payloads() == []
def test_helper_aggregates_multiple_payloads() -> None:
h = _populated_helper()
assert len(h) == 3
assert h.nodes() == ["aabbccddeeff", "ff00ff00ff00"]
def test_helper_entities_for_node() -> None:
h = _populated_helper()
entities = h.entities_for_node("aabbccddeeff")
object_ids = sorted(e.object_id for e in entities)
assert object_ids == ["heart_rate", "presence"]
def test_helper_by_device_class() -> None:
h = _populated_helper()
occupancy_entities = h.by_device_class("occupancy")
assert len(occupancy_entities) == 2 # presence on both nodes
assert {e.node_id for e in occupancy_entities} == {"aabbccddeeff", "ff00ff00ff00"}
def test_helper_remove() -> None:
h = _populated_helper()
assert h.remove("aabbccddeeff", "binary_sensor", "presence") is True
assert h.remove("aabbccddeeff", "binary_sensor", "presence") is False # no-op
assert len(h) == 2
def test_helper_rejects_non_discovery_topics() -> None:
h = HABlueprintHelper()
ok = h.add_payload("ruview/aabbccddeeff/raw/edge_vitals", _PRESENCE_BODY)
assert ok is False
assert len(h) == 0
def test_helper_in_operator() -> None:
h = _populated_helper()
assert ("aabbccddeeff", "binary_sensor", "presence") in h
assert ("nonexistent", "binary_sensor", "presence") not in h

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"""ADR-117 P4 — Tests for RuViewMqttClient.
These tests do NOT bring up a broker — they exercise:
1. Topic-wildcard matching (`_topic_matches`)
2. Client construction + handler registration
3. The callback path by directly invoking the paho callback methods
with synthesized messages
End-to-end broker integration is a P4-followon item (the mosquitto
patterns from memory [[feedback_mqtt_integration_test_patterns]] go
there). This file keeps unit coverage tight without requiring a
broker on every CI run.
"""
from __future__ import annotations
import json
from types import SimpleNamespace
from typing import Any
import pytest
from wifi_densepose.client import RuViewMqttClient
from wifi_densepose.client.mqtt import _topic_matches
# ─── Topic wildcard matcher ──────────────────────────────────────────
@pytest.mark.parametrize("pattern,topic,expected", [
("ruview/+/raw/edge_vitals", "ruview/aabb/raw/edge_vitals", True),
("ruview/+/raw/edge_vitals", "ruview/aabb/cooked/edge_vitals", False),
("ruview/+/raw/+", "ruview/aabb/raw/pose", True),
("ruview/+/raw/+", "ruview/aabb/raw/pose/extra", False),
# Per MQTT v5 §4.7.1.2: `+` is a whole-level wildcard only — mid-
# segment `+` is a literal `+` character, not a wildcard. The
# spec-correct way to wildcard the third segment of the HA
# discovery topic is `homeassistant/+/+/+/config`.
("homeassistant/+/+/+/config",
"homeassistant/binary_sensor/wifi_densepose_aabb/presence/config", True),
# `wifi_densepose_+` is therefore NOT a wildcard — it matches the
# literal string only. Asserting that behaviour stays stable.
("homeassistant/+/wifi_densepose_+/+/config",
"homeassistant/binary_sensor/wifi_densepose_aabb/presence/config", False),
("ruview/#", "ruview/aabb/raw/edge_vitals", True),
# Per MQTT v5 §4.7.1.2: `<prefix>/#` ALSO matches the bare
# `<prefix>` itself (it represents "this topic and all sub-topics").
("ruview/#", "ruview", True),
("ruview/+/raw/#", "ruview/aabb/raw/pose/extra", True),
("exact/topic", "exact/topic", True),
("exact/topic", "exact/topic/extra", False),
("a/b/c", "a/b", False),
])
def test_topic_matches(pattern: str, topic: str, expected: bool) -> None:
assert _topic_matches(pattern, topic) is expected
# ─── RuViewMqttClient construction ──────────────────────────────────
def test_client_constructs_with_defaults() -> None:
c = RuViewMqttClient()
assert c.broker_host == "localhost"
assert c.broker_port == 1883
assert c.connected is False
assert c.client_id.startswith("wifi-densepose-client-")
def test_client_unique_client_id_per_instance() -> None:
"""Per the rumqttc memory lesson — each instance needs a unique
client_id so parallel tests don't kick each other off the broker."""
c1 = RuViewMqttClient()
c2 = RuViewMqttClient()
assert c1.client_id != c2.client_id
def test_client_accepts_explicit_client_id() -> None:
c = RuViewMqttClient(client_id="explicit-id")
assert c.client_id == "explicit-id"
# ─── Handler registration ────────────────────────────────────────────
def test_handler_registration_stores_callback() -> None:
c = RuViewMqttClient()
seen: list[Any] = []
c.on_message("ruview/+/raw/edge_vitals", lambda t, p: seen.append((t, p)))
# Internal state — we're allowed to inspect since the handler
# path needs to be unit-testable without a broker.
assert "ruview/+/raw/edge_vitals" in c._handlers
def test_handler_unregister_drops_callback() -> None:
c = RuViewMqttClient()
c.on_message("ruview/+/raw/edge_vitals", lambda t, p: None)
c.unsubscribe_handler("ruview/+/raw/edge_vitals")
assert "ruview/+/raw/edge_vitals" not in c._handlers
# ─── Callback dispatch (synthesized) ─────────────────────────────────
def _fake_message(topic: str, body: Any) -> Any:
"""Synthesize a paho-mqtt MQTTMessage-ish object."""
if isinstance(body, (dict, list)):
payload_bytes = json.dumps(body).encode("utf-8")
elif isinstance(body, bytes):
payload_bytes = body
else:
payload_bytes = str(body).encode("utf-8")
return SimpleNamespace(topic=topic, payload=payload_bytes)
def test_message_dispatch_to_matching_handler() -> None:
c = RuViewMqttClient()
received: list[tuple[str, Any]] = []
c.on_message("ruview/+/raw/edge_vitals", lambda t, p: received.append((t, p)))
msg = _fake_message(
"ruview/aabbccddeeff/raw/edge_vitals",
{"breathing_rate_bpm": 14.0, "heartrate_bpm": 72.0, "presence": True},
)
c._on_message(None, None, msg)
assert len(received) == 1
topic, payload = received[0]
assert topic == "ruview/aabbccddeeff/raw/edge_vitals"
assert payload["breathing_rate_bpm"] == 14.0
def test_message_dispatch_ignores_non_matching_topic() -> None:
c = RuViewMqttClient()
received: list[Any] = []
c.on_message("ruview/+/raw/edge_vitals", lambda t, p: received.append(p))
msg = _fake_message("ruview/aabb/raw/pose", {"persons": []})
c._on_message(None, None, msg)
assert received == []
def test_message_dispatch_falls_back_to_bytes_on_non_json() -> None:
c = RuViewMqttClient()
received: list[Any] = []
c.on_message("custom/binary/+", lambda t, p: received.append(p))
msg = _fake_message("custom/binary/data", b"\x00\x01\x02not-json")
c._on_message(None, None, msg)
assert received == [b"\x00\x01\x02not-json"]
def test_handler_exception_does_not_propagate() -> None:
"""A misbehaving user callback must not crash the paho network
loop — exceptions are caught and logged."""
c = RuViewMqttClient()
seen_after_crash: list[Any] = []
def crashing(_topic: str, _p: Any) -> None:
raise RuntimeError("simulated callback crash")
c.on_message("crashy/topic", crashing)
c.on_message("safe/topic", lambda t, p: seen_after_crash.append(p))
# First, the crashing handler — must NOT raise out of _on_message.
c._on_message(None, None, _fake_message("crashy/topic", "anything"))
# Then the safe handler — must still fire on a subsequent message.
c._on_message(None, None, _fake_message("safe/topic", {"x": 1}))
assert seen_after_crash == [{"x": 1}]
def test_multiple_handlers_for_overlapping_patterns_all_fire() -> None:
c = RuViewMqttClient()
a_received: list[Any] = []
b_received: list[Any] = []
c.on_message("ruview/+/raw/+", lambda t, p: a_received.append(p))
c.on_message("ruview/aabb/raw/edge_vitals", lambda t, p: b_received.append(p))
msg = _fake_message("ruview/aabb/raw/edge_vitals", {"presence": True})
c._on_message(None, None, msg)
assert len(a_received) == 1
assert len(b_received) == 1
# ─── on_connect path ─────────────────────────────────────────────────
def test_on_connect_sets_event_and_subscribes() -> None:
c = RuViewMqttClient()
c.on_message("ruview/+/raw/edge_vitals", lambda t, p: None)
# Stub the paho client so we can capture subscribe() calls.
subscribed: list[str] = []
stub = SimpleNamespace(subscribe=lambda pattern: subscribed.append(pattern))
c._on_connect(stub, None, None, 0)
assert c.connected is True
assert subscribed == ["ruview/+/raw/edge_vitals"]
def test_on_connect_with_nonzero_rc_does_not_set_connected() -> None:
c = RuViewMqttClient()
stub = SimpleNamespace(subscribe=lambda pattern: None)
c._on_connect(stub, None, None, 5) # CONNACK fail
assert c.connected is False

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"""ADR-117 P4 — Tests for the HA-MIND semantic primitive listener.
Pure routing tests — no MQTT broker needed.
"""
from __future__ import annotations
import json
from wifi_densepose.client import (
SemanticPrimitive,
SemanticPrimitiveEvent,
SemanticPrimitiveListener,
)
# ─── SemanticPrimitive enum ──────────────────────────────────────────
def test_enum_covers_all_10_v1_primitives() -> None:
expected = {
"someone_sleeping",
"possible_distress",
"room_active",
"elderly_inactivity",
"meeting_in_progress",
"bathroom_occupied",
"fall_risk_elevated",
"bed_exit",
"no_movement_safety",
"multi_room_transition",
}
actual = {p.value for p in SemanticPrimitive}
assert actual == expected
def test_enum_from_object_id_round_trips() -> None:
for p in SemanticPrimitive:
assert SemanticPrimitive.from_object_id(p.value) is p
def test_enum_from_object_id_returns_none_for_unknown() -> None:
assert SemanticPrimitive.from_object_id("garbage") is None
# ─── Listener routing ────────────────────────────────────────────────
def test_listener_dispatches_to_specific_handler() -> None:
listener = SemanticPrimitiveListener()
received: list[SemanticPrimitiveEvent] = []
listener.on(SemanticPrimitive.SomeoneSleeping, received.append)
evt = listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aabb/someone_sleeping/state",
json.dumps({"state": "ON", "confidence": 0.92, "explanation": ["motion<5%"]}),
)
assert evt is not None
assert evt.kind is SemanticPrimitive.SomeoneSleeping
assert evt.node_id == "aabb"
assert evt.state == "ON"
assert evt.confidence == 0.92
assert evt.explanation == ("motion<5%",)
assert len(received) == 1
assert received[0] is evt
def test_listener_on_any_fires_for_every_primitive() -> None:
listener = SemanticPrimitiveListener()
seen: list[SemanticPrimitiveEvent] = []
listener.on_any(seen.append)
listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aabb/room_active/state",
json.dumps({"state": "ON"}),
)
listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aabb/bathroom_occupied/state",
json.dumps({"state": "OFF"}),
)
assert len(seen) == 2
assert seen[0].kind is SemanticPrimitive.RoomActive
assert seen[1].kind is SemanticPrimitive.BathroomOccupied
def test_listener_specific_handler_does_not_fire_for_other_primitives() -> None:
listener = SemanticPrimitiveListener()
received: list[SemanticPrimitiveEvent] = []
listener.on(SemanticPrimitive.PossibleDistress, received.append)
listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aabb/someone_sleeping/state",
json.dumps({"state": "ON"}),
)
assert received == []
def test_listener_decodes_plain_state_string() -> None:
"""HA convention: binary_sensors that don't carry attributes emit
plain strings ('ON' / 'OFF'). We must accept that too."""
listener = SemanticPrimitiveListener()
evt = listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aabb/room_active/state",
"ON",
)
assert evt is not None
assert evt.state == "ON"
assert evt.confidence == 0.0 # not provided in plain string
assert evt.explanation == ()
def test_listener_decodes_numeric_sensor_state() -> None:
"""fall_risk_elevated is a 0–100 sensor — verify numeric string."""
listener = SemanticPrimitiveListener()
evt = listener.handle_mqtt_message(
"homeassistant/sensor/wifi_densepose_aabb/fall_risk_elevated/state",
"73",
)
assert evt is not None
assert evt.kind is SemanticPrimitive.FallRiskElevated
assert evt.state == "73"
def test_listener_decodes_bytes_payload() -> None:
listener = SemanticPrimitiveListener()
evt = listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aabb/room_active/state",
b"ON",
)
assert evt is not None
assert evt.state == "ON"
def test_listener_ignores_non_state_topics() -> None:
listener = SemanticPrimitiveListener()
assert listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aabb/room_active/config",
json.dumps({"name": "Room Active"}),
) is None
def test_listener_ignores_unknown_slug() -> None:
listener = SemanticPrimitiveListener()
assert listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aabb/unknown_primitive/state",
"ON",
) is None
def test_listener_ignores_non_wifi_densepose_node() -> None:
listener = SemanticPrimitiveListener()
# third segment doesn't start with wifi_densepose_
assert listener.handle_mqtt_message(
"homeassistant/binary_sensor/aqara_fp2/room_active/state",
"ON",
) is None
def test_listener_explanation_string_is_normalised_to_tuple() -> None:
"""Producers may send `explanation` as a single string by mistake;
accept that and wrap in a 1-tuple so downstream code can iterate
uniformly."""
listener = SemanticPrimitiveListener()
evt = listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aabb/possible_distress/state",
json.dumps({"state": "ON", "explanation": "HR=120 baseline=80"}),
)
assert evt is not None
assert evt.explanation == ("HR=120 baseline=80",)
def test_event_is_frozen() -> None:
evt = SemanticPrimitiveEvent(
kind=SemanticPrimitive.SomeoneSleeping,
node_id="aabb",
state="ON",
)
import pytest
with pytest.raises((AttributeError, Exception)): # FrozenInstanceError subclass
evt.state = "OFF" # type: ignore[misc]

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"""ADR-117 P4 — End-to-end test for SensingClient against an in-process
WS server.
We spin up a real `websockets.serve()` server in the same event loop,
send the four message types defined in ADR-115 §1, and assert the
client decodes them into the right dataclasses. No mocks — the only
moving part this test does NOT exercise is the actual sensing-server
binary, but the wire protocol is the contract under test here.
"""
from __future__ import annotations
import asyncio
import json
from typing import Any
import pytest
import websockets
from wifi_densepose.client import (
ConnectionEstablishedMessage,
EdgeVitalsMessage,
PoseDataMessage,
SensingClient,
SensingMessage,
)
# ─── In-process WS server fixture ────────────────────────────────────
_FIXTURE_MESSAGES = [
{
"type": "connection_established",
"node_id": "test-node-001",
"version": "0.7.4",
"capabilities": ["edge_vitals", "pose_data"],
},
{
"type": "edge_vitals",
"node_id": "test-node-001",
"presence": True,
"fall_detected": False,
"motion": 0.21,
"breathing_rate_bpm": 14.5,
"heartrate_bpm": 72.3,
"n_persons": 1,
"motion_energy": 0.034,
"presence_score": 0.91,
"rssi": -42.0,
},
{
"type": "pose_data",
"node_id": "test-node-001",
"timestamp": 1700000000.5,
"persons": [{"id": 1, "keypoints": []}],
"confidence": 0.88,
},
# Unknown type — should NOT crash the stream; should yield a plain
# SensingMessage.
{
"type": "future_message_type_not_yet_modelled",
"extra": "data",
},
]
async def _handler(websocket: Any) -> None:
for msg in _FIXTURE_MESSAGES:
await websocket.send(json.dumps(msg))
# Send one malformed frame to assert the client logs+drops it
# rather than crashing the stream.
await websocket.send("{not valid json")
# And one final "real" message so the test can confirm the stream
# survived the malformed one.
await websocket.send(json.dumps({"type": "edge_vitals", "node_id": "post-bad-frame"}))
@pytest.fixture
async def ws_server() -> Any:
"""Start a websocket server on a random port; yield the bound URL."""
server = await websockets.serve(_handler, "127.0.0.1", 0)
# Get the bound port (host="127.0.0.1" returns one socket).
port = server.sockets[0].getsockname()[1] # type: ignore[union-attr]
try:
yield f"ws://127.0.0.1:{port}/ws/sensing"
finally:
server.close()
await server.wait_closed()
# ─── End-to-end stream test ──────────────────────────────────────────
async def test_sensing_client_decodes_all_message_types(ws_server: str) -> None:
received: list[SensingMessage] = []
async with SensingClient(ws_server) as client:
async for msg in client.stream():
received.append(msg)
if len(received) >= len(_FIXTURE_MESSAGES) + 1: # +1 for post-bad-frame
break
# connection_established → typed
assert isinstance(received[0], ConnectionEstablishedMessage)
assert received[0].node_id == "test-node-001"
assert received[0].version == "0.7.4"
assert "edge_vitals" in received[0].capabilities
# edge_vitals → typed with full fields
assert isinstance(received[1], EdgeVitalsMessage)
assert received[1].presence is True
assert received[1].fall_detected is False
assert received[1].breathing_rate_bpm == 14.5
assert received[1].heartrate_bpm == 72.3
assert received[1].n_persons == 1
assert received[1].rssi == -42.0
# pose_data → typed
assert isinstance(received[2], PoseDataMessage)
assert received[2].timestamp == 1700000000.5
assert len(received[2].persons) == 1
assert received[2].confidence == 0.88
# Unknown type → plain SensingMessage (forward-compat)
assert type(received[3]) is SensingMessage # exact base class
assert received[3].type == "future_message_type_not_yet_modelled"
assert received[3].raw["extra"] == "data"
# After the malformed frame: the stream should have survived and
# yielded the post-bad-frame message.
assert isinstance(received[4], EdgeVitalsMessage)
assert received[4].node_id == "post-bad-frame"
async def test_sensing_client_recv_one(ws_server: str) -> None:
async with SensingClient(ws_server) as client:
msg = await client.recv_one(timeout=2.0)
assert isinstance(msg, ConnectionEstablishedMessage)
async def test_sensing_client_raises_when_used_without_context() -> None:
client = SensingClient("ws://127.0.0.1:1/") # never connects
with pytest.raises(RuntimeError, match="not connected"):
await client.recv_one(timeout=0.1)
with pytest.raises(RuntimeError, match="not connected"):
async for _ in client.stream():
pass
async def test_sensing_client_close_is_idempotent(ws_server: str) -> None:
client = SensingClient(ws_server)
await client.__aenter__()
await client.close()
await client.close() # second close is a no-op
def test_sensing_client_decoder_directly() -> None:
"""The decoder is pure — exercise it without bringing up a WS
server, so we have a fast unit test for the type mapping."""
from wifi_densepose.client.ws import _decode
msg = _decode(json.dumps({
"type": "edge_vitals",
"node_id": "x",
"presence": True,
"fall_detected": False,
"motion": 1.5,
}))
assert isinstance(msg, EdgeVitalsMessage)
assert msg.presence is True
assert msg.motion == 1.5
assert msg.breathing_rate_bpm is None # not present → None, not 0.0
assert msg.heartrate_bpm is None
assert msg.rssi is None
def test_sensing_client_decoder_handles_None_subfields() -> None:
"""When the sensing-server explicitly emits null for HR/BR (no
measurement yet), the client should propagate None, not crash."""
from wifi_densepose.client.ws import _decode
msg = _decode(json.dumps({
"type": "edge_vitals",
"node_id": "x",
"presence": False,
"fall_detected": False,
"motion": 0.0,
"breathing_rate_bpm": None,
"heartrate_bpm": None,
"rssi": None,
}))
assert isinstance(msg, EdgeVitalsMessage)
assert msg.breathing_rate_bpm is None
assert msg.heartrate_bpm is None
assert msg.rssi is None

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"""ADR-117 P2 tests — Keypoint + KeypointType binding round-trips.
Run with: cd python && .venv/Scripts/python -m pytest tests/test_keypoint.py -v
"""
from __future__ import annotations
import pytest
from wifi_densepose import Keypoint, KeypointType
# ─── KeypointType ────────────────────────────────────────────────────
def test_keypoint_type_all_returns_17() -> None:
"""COCO standard defines exactly 17 keypoints."""
assert len(KeypointType.all()) == 17
def test_keypoint_type_index_matches_coco_ordering() -> None:
"""Indexes 0..16 match the COCO canonical ordering."""
expected = [
(KeypointType.Nose, 0),
(KeypointType.LeftEye, 1),
(KeypointType.RightEye, 2),
(KeypointType.LeftEar, 3),
(KeypointType.RightEar, 4),
(KeypointType.LeftShoulder, 5),
(KeypointType.RightShoulder, 6),
(KeypointType.LeftElbow, 7),
(KeypointType.RightElbow, 8),
(KeypointType.LeftWrist, 9),
(KeypointType.RightWrist, 10),
(KeypointType.LeftHip, 11),
(KeypointType.RightHip, 12),
(KeypointType.LeftKnee, 13),
(KeypointType.RightKnee, 14),
(KeypointType.LeftAnkle, 15),
(KeypointType.RightAnkle, 16),
]
for kp, idx in expected:
assert kp.index == idx, f"{kp} expected index {idx} got {kp.index}"
def test_keypoint_type_snake_name() -> None:
"""snake_name follows COCO convention."""
assert KeypointType.Nose.snake_name == "nose"
assert KeypointType.LeftShoulder.snake_name == "left_shoulder"
assert KeypointType.RightAnkle.snake_name == "right_ankle"
def test_keypoint_type_is_face() -> None:
"""is_face() matches the 5 facial keypoints."""
face = {
KeypointType.Nose,
KeypointType.LeftEye,
KeypointType.RightEye,
KeypointType.LeftEar,
KeypointType.RightEar,
}
for kp in KeypointType.all():
assert kp.is_face() == (kp in face)
def test_keypoint_type_is_upper_body() -> None:
"""is_upper_body() catches shoulders, elbows, wrists."""
assert KeypointType.LeftShoulder.is_upper_body()
assert KeypointType.RightShoulder.is_upper_body()
assert KeypointType.LeftElbow.is_upper_body()
assert KeypointType.LeftWrist.is_upper_body()
assert not KeypointType.LeftHip.is_upper_body()
def test_keypoint_type_eq() -> None:
"""Equality + identity work across calls."""
assert KeypointType.Nose == KeypointType.Nose
assert KeypointType.Nose != KeypointType.LeftEye
def test_keypoint_type_repr() -> None:
"""repr is a useful Python expression."""
assert repr(KeypointType.Nose) == "KeypointType.Nose"
assert repr(KeypointType.LeftWrist) == "KeypointType.LeftWrist"
# ─── Keypoint ────────────────────────────────────────────────────────
def test_keypoint_2d_construct() -> None:
"""Default 2D keypoint."""
kp = Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95)
assert kp.x == pytest.approx(0.5)
assert kp.y == pytest.approx(0.3)
assert kp.z is None
assert kp.confidence == pytest.approx(0.95)
assert kp.keypoint_type == KeypointType.Nose
assert kp.is_visible
def test_keypoint_3d_construct() -> None:
"""3D keypoint with kwarg z."""
kp = Keypoint(KeypointType.LeftWrist, 0.2, 0.4, 0.8, z=0.1)
assert kp.position_3d == pytest.approx((0.2, 0.4, 0.1))
assert kp.z == pytest.approx(0.1)
def test_keypoint_position_2d_tuple() -> None:
kp = Keypoint(KeypointType.RightHip, 0.6, 0.7, 0.99)
assert kp.position_2d == pytest.approx((0.6, 0.7))
def test_keypoint_position_3d_none_for_2d() -> None:
"""2D keypoints return None for position_3d, not a default z."""
kp = Keypoint(KeypointType.Nose, 0.5, 0.5, 0.99)
assert kp.position_3d is None
def test_keypoint_is_visible_below_threshold() -> None:
"""Confidence under 0.5 is NOT visible (default threshold)."""
kp_low = Keypoint(KeypointType.Nose, 0.0, 0.0, 0.3)
kp_high = Keypoint(KeypointType.Nose, 0.0, 0.0, 0.7)
assert not kp_low.is_visible
assert kp_high.is_visible
def test_keypoint_confidence_validation_too_high() -> None:
"""Confidence > 1.0 rejected."""
with pytest.raises(ValueError, match="Confidence must be in"):
Keypoint(KeypointType.Nose, 0.0, 0.0, 1.5)
def test_keypoint_confidence_validation_negative() -> None:
"""Negative confidence rejected."""
with pytest.raises(ValueError, match="Confidence must be in"):
Keypoint(KeypointType.Nose, 0.0, 0.0, -0.1)
def test_keypoint_distance_2d() -> None:
"""Euclidean distance in 2D."""
a = Keypoint(KeypointType.Nose, 0.0, 0.0, 1.0)
b = Keypoint(KeypointType.LeftEye, 3.0, 4.0, 1.0)
assert a.distance_to(b) == pytest.approx(5.0)
def test_keypoint_distance_3d() -> None:
"""Euclidean distance in 3D when both have z."""
a = Keypoint(KeypointType.Nose, 0.0, 0.0, 1.0, z=0.0)
b = Keypoint(KeypointType.LeftEye, 1.0, 2.0, 1.0, z=2.0)
# sqrt(1 + 4 + 4) = 3.0
assert a.distance_to(b) == pytest.approx(3.0)
def test_keypoint_distance_falls_back_to_2d_if_mixed() -> None:
"""Mixing 2D and 3D keypoints uses 2D distance only."""
a = Keypoint(KeypointType.Nose, 0.0, 0.0, 1.0) # 2D
b = Keypoint(KeypointType.LeftEye, 3.0, 4.0, 1.0, z=99.0) # 3D
# Should be 5.0 (2D distance), not include the z=99 term
assert a.distance_to(b) == pytest.approx(5.0)
def test_keypoint_repr_2d() -> None:
kp = Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95)
r = repr(kp)
assert "KeypointType.Nose" in r
assert "x=0.5" in r
assert "y=0.3" in r
assert "z" not in r # no z field for 2D
def test_keypoint_repr_3d() -> None:
kp = Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95, z=0.1)
r = repr(kp)
assert "z=0.1" in r
def test_keypoint_eq() -> None:
"""Two keypoints with same fields compare equal."""
a = Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95)
b = Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95)
assert a == b
def test_keypoint_neq_different_type() -> None:
a = Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95)
b = Keypoint(KeypointType.LeftEye, 0.5, 0.3, 0.95)
assert a != b
def test_keypoint_neq_different_position() -> None:
a = Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95)
b = Keypoint(KeypointType.Nose, 0.6, 0.3, 0.95)
assert a != b
def test_build_features_marks_p2() -> None:
"""The P2 marker is now in the wheel's feature list."""
import wifi_densepose
assert "p2-keypoint-bindings" in wifi_densepose.__build_features__

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"""ADR-117 P2 tests — BoundingBox + PersonPose + PoseEstimate bindings.
Run with: cd python && .venv/Scripts/python -m pytest tests/test_pose.py -v
"""
from __future__ import annotations
import pytest
from wifi_densepose import (
BoundingBox,
Keypoint,
KeypointType,
PersonPose,
PoseEstimate,
)
# ─── BoundingBox ─────────────────────────────────────────────────────
def test_bounding_box_construct() -> None:
bb = BoundingBox(0.1, 0.2, 0.5, 0.7)
assert bb.x_min == pytest.approx(0.1)
assert bb.y_min == pytest.approx(0.2)
assert bb.x_max == pytest.approx(0.5)
assert bb.y_max == pytest.approx(0.7)
def test_bounding_box_dimensions() -> None:
bb = BoundingBox(0.0, 0.0, 4.0, 3.0)
assert bb.width == pytest.approx(4.0)
assert bb.height == pytest.approx(3.0)
assert bb.area == pytest.approx(12.0)
assert bb.center == pytest.approx((2.0, 1.5))
def test_bounding_box_from_center() -> None:
bb = BoundingBox.from_center(2.0, 3.0, 4.0, 6.0)
assert bb.x_min == pytest.approx(0.0)
assert bb.y_min == pytest.approx(0.0)
assert bb.x_max == pytest.approx(4.0)
assert bb.y_max == pytest.approx(6.0)
def test_bounding_box_iou_no_overlap() -> None:
a = BoundingBox(0.0, 0.0, 1.0, 1.0)
b = BoundingBox(2.0, 2.0, 3.0, 3.0)
assert a.iou(b) == pytest.approx(0.0)
def test_bounding_box_iou_full_overlap() -> None:
a = BoundingBox(0.0, 0.0, 1.0, 1.0)
b = BoundingBox(0.0, 0.0, 1.0, 1.0)
assert a.iou(b) == pytest.approx(1.0)
def test_bounding_box_iou_partial() -> None:
a = BoundingBox(0.0, 0.0, 10.0, 10.0)
b = BoundingBox(5.0, 5.0, 15.0, 15.0)
# intersection 25, union 175 → 1/7
assert a.iou(b) == pytest.approx(25.0 / 175.0)
def test_bounding_box_eq() -> None:
assert BoundingBox(1, 2, 3, 4) == BoundingBox(1, 2, 3, 4)
assert BoundingBox(1, 2, 3, 4) != BoundingBox(1, 2, 3, 5)
def test_bounding_box_repr() -> None:
bb = BoundingBox(0.1, 0.2, 0.5, 0.7)
assert "BoundingBox" in repr(bb)
assert "x_min=0.1" in repr(bb)
# ─── PersonPose ──────────────────────────────────────────────────────
def test_person_pose_empty() -> None:
p = PersonPose()
assert p.id is None
assert p.visible_keypoint_count == 0
assert p.bounding_box is None
assert p.confidence == 0.0
def test_person_pose_set_get_keypoint() -> None:
p = PersonPose()
kp = Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95)
p.set_keypoint(kp)
got = p.get_keypoint(KeypointType.Nose)
assert got is not None
assert got.x == pytest.approx(0.5)
assert got.confidence == pytest.approx(0.95)
def test_person_pose_get_missing_returns_none() -> None:
p = PersonPose()
p.set_keypoint(Keypoint(KeypointType.Nose, 0.5, 0.3, 0.95))
assert p.get_keypoint(KeypointType.LeftWrist) is None
def test_person_pose_visible_count() -> None:
p = PersonPose()
p.set_keypoint(Keypoint(KeypointType.Nose, 0.0, 0.0, 0.9)) # visible
p.set_keypoint(Keypoint(KeypointType.LeftEar, 0.0, 0.0, 0.2)) # invisible
p.set_keypoint(Keypoint(KeypointType.RightEar, 0.0, 0.0, 0.8)) # visible
assert p.visible_keypoint_count == 2
def test_person_pose_visible_keypoints_list() -> None:
p = PersonPose()
p.set_keypoint(Keypoint(KeypointType.Nose, 0.0, 0.0, 0.9))
p.set_keypoint(Keypoint(KeypointType.LeftEar, 0.0, 0.0, 0.2))
vis = p.visible_keypoints()
assert len(vis) == 1
assert vis[0].keypoint_type == KeypointType.Nose
def test_person_pose_keypoints_dict_excludes_missing() -> None:
p = PersonPose()
p.set_keypoint(Keypoint(KeypointType.Nose, 0.0, 0.0, 0.9))
p.set_keypoint(Keypoint(KeypointType.LeftWrist, 0.5, 0.5, 0.6))
d = p.keypoints()
assert KeypointType.Nose in d
assert KeypointType.LeftWrist in d
assert KeypointType.RightAnkle not in d
assert len(d) == 2
def test_person_pose_set_id() -> None:
p = PersonPose()
p.set_id(7)
assert p.id == 7
def test_person_pose_set_bounding_box() -> None:
p = PersonPose()
bb = BoundingBox(0.1, 0.1, 0.5, 0.9)
p.set_bounding_box(bb)
assert p.bounding_box == bb
def test_person_pose_compute_bbox_returns_none_when_empty() -> None:
p = PersonPose()
assert p.compute_bounding_box() is None
def test_person_pose_compute_bbox_from_keypoints() -> None:
p = PersonPose()
p.set_keypoint(Keypoint(KeypointType.Nose, 0.0, 0.0, 0.95))
p.set_keypoint(Keypoint(KeypointType.RightAnkle, 1.0, 2.0, 0.95))
bb = p.compute_bounding_box()
assert bb is not None
# bbox should span both keypoints
assert bb.x_min <= 0.0
assert bb.y_min <= 0.0
assert bb.x_max >= 1.0
assert bb.y_max >= 2.0
# also stored
assert p.bounding_box is not None
def test_person_pose_set_confidence_validation() -> None:
p = PersonPose()
p.set_confidence(0.85)
assert p.confidence == pytest.approx(0.85)
with pytest.raises(ValueError):
p.set_confidence(1.5)
def test_person_pose_repr() -> None:
p = PersonPose()
p.set_id(3)
p.set_keypoint(Keypoint(KeypointType.Nose, 0.0, 0.0, 0.9))
r = repr(p)
assert "PersonPose" in r
assert "id=Some(3)" in r or "id=3" in r
# ─── PoseEstimate ────────────────────────────────────────────────────
def test_pose_estimate_construct_empty() -> None:
e = PoseEstimate([], 0.5, 1.0, "test-v0")
assert e.person_count == 0
assert not e.has_detections
assert e.confidence == pytest.approx(0.5)
assert e.latency_ms == pytest.approx(1.0)
assert e.model_version == "test-v0"
def test_pose_estimate_construct_with_persons() -> None:
p1 = PersonPose()
p1.set_id(1)
p1.set_confidence(0.8)
p2 = PersonPose()
p2.set_id(2)
p2.set_confidence(0.9)
e = PoseEstimate([p1, p2], 0.85, 5.2, "v0.7.0")
assert e.person_count == 2
assert e.has_detections
assert e.confidence == pytest.approx(0.85)
def test_pose_estimate_highest_confidence_person() -> None:
p1 = PersonPose()
p1.set_confidence(0.5)
p2 = PersonPose()
p2.set_confidence(0.95)
p3 = PersonPose()
p3.set_confidence(0.7)
e = PoseEstimate([p1, p2, p3], 0.85, 5.2, "v0.7.0")
best = e.highest_confidence_person()
assert best is not None
assert best.confidence == pytest.approx(0.95)
def test_pose_estimate_highest_confidence_returns_none_when_empty() -> None:
e = PoseEstimate([], 0.5, 1.0, "test")
assert e.highest_confidence_person() is None
def test_pose_estimate_metadata_strings_nonempty() -> None:
e = PoseEstimate([], 0.5, 1.0, "test")
assert isinstance(e.id, str)
assert isinstance(e.timestamp, str)
assert e.id # non-empty
assert e.timestamp # non-empty
def test_pose_estimate_confidence_validation() -> None:
with pytest.raises(ValueError):
PoseEstimate([], 1.5, 0.0, "test")
def test_pose_estimate_repr_contains_counts() -> None:
e = PoseEstimate([], 0.5, 2.3, "v0.7.0")
r = repr(e)
assert "PoseEstimate" in r
assert "v0.7.0" in r
def test_build_features_marks_p2_complete() -> None:
import wifi_densepose
assert "p2-keypoint-bindings" in wifi_densepose.__build_features__
assert "p2-pose-bindings" in wifi_densepose.__build_features__

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"""ADR-117 hardening sweep — Security & robustness tests for the
client surface.
Scope: malformed/hostile input handling across the WS decoder, MQTT
matcher + dispatch, HA discovery parser, and semantic primitive
listener. The goal is to ensure that an adversarial broker or
sensing-server can't:
- Crash the client process via malformed JSON, UTF-8, or topic shapes
- Bypass topic-wildcard matching to deliver messages to the wrong handler
- Leak MQTT credentials through `repr()` or string conversion
- Trigger unbounded memory growth via deeply-nested JSON
- Get a handler exception to crash the network loop
"""
from __future__ import annotations
import json
from types import SimpleNamespace
import pytest
from wifi_densepose.client import RuViewMqttClient, SemanticPrimitiveListener
from wifi_densepose.client.ha import (
HABlueprintHelper,
parse_discovery_payload,
parse_discovery_topic,
)
from wifi_densepose.client.mqtt import _topic_matches
from wifi_densepose.client.ws import _decode
# ─── WS decoder robustness ──────────────────────────────────────────
def test_ws_decoder_rejects_non_object_root() -> None:
"""A JSON array at the root must NOT crash the decoder. Plain
string/array root values are valid JSON but not valid sensing-
server messages — the decoder must reject them cleanly."""
with pytest.raises(ValueError):
_decode("[1, 2, 3]")
with pytest.raises(ValueError):
_decode('"just a string"')
with pytest.raises(ValueError):
_decode("42")
def test_ws_decoder_rejects_malformed_json() -> None:
with pytest.raises(json.JSONDecodeError):
_decode("{ broken: json")
def test_ws_decoder_handles_deeply_nested_payload_without_crash() -> None:
"""Hostile JSON nested 1000 levels deep must not crash via
Python's default recursion limit. Json.loads has a built-in
guard; verify we don't accidentally bypass it."""
nested = "{" + '"a":{' * 999 + '"x":1' + "}" * 1000
# json.loads either succeeds (since 999 < ~1000 limit) or raises
# RecursionError; either is acceptable — the key is no segfault
# or hang.
try:
_decode(nested)
except (RecursionError, json.JSONDecodeError, ValueError):
pass # All acceptable.
def test_ws_decoder_handles_huge_string_values() -> None:
"""A 1 MB string in a JSON field must decode without exploding.
The websockets `max_size` parameter (default 16 MB) is the actual
DoS guard — this just confirms the decoder itself is linear."""
huge_payload = json.dumps({
"type": "edge_vitals",
"node_id": "x" * (1024 * 1024), # 1 MB string
"presence": True,
"fall_detected": False,
"motion": 0.0,
})
msg = _decode(huge_payload)
assert msg.type == "edge_vitals"
def test_ws_decoder_handles_unicode_in_node_id() -> None:
"""Non-ASCII node IDs (e.g. accidental terminal escapes) must
round-trip cleanly without re-encoding errors."""
payload = json.dumps({"type": "edge_vitals", "node_id": "nöde-中", "presence": True, "fall_detected": False, "motion": 0.0})
msg = _decode(payload)
assert msg.node_id == "nöde-中" # type: ignore[attr-defined]
# ─── MQTT topic matcher — exhaustive edge cases ─────────────────────
@pytest.mark.parametrize("pattern,topic,expected", [
# Empty / boundary
("", "", True),
("a", "", False),
("", "a", False),
# `+` cannot bypass a literal level boundary
("a/+/c", "a/b/c", True),
("a/+/c", "a/b/d", False),
("a/+/c", "a/b/c/d", False),
# `#` is greedy from its position but does not match if it's
# mid-pattern (per MQTT spec; our matcher returns False then).
("a/#/c", "a/b/c", False), # `#` must be terminal
# Topics starting with `$` are legal here — we don't filter them;
# matching is purely syntactic. `+` is one-level only, so `$SYS/+`
# matches `$SYS/broker` but NOT `$SYS/broker/version`.
("$SYS/+", "$SYS/broker", True),
("$SYS/+", "$SYS/broker/version", False),
("$SYS/#", "$SYS/broker/version", True),
# Null byte in topic: still string comparison, but useful to lock
# down behaviour.
("a/b", "a\x00/b", False),
])
def test_topic_matcher_edge_cases(pattern: str, topic: str, expected: bool) -> None:
assert _topic_matches(pattern, topic) is expected
# ─── MQTT credential confidentiality ────────────────────────────────
def test_mqtt_password_never_in_repr() -> None:
"""A user's broker password must NOT leak through __repr__ or
__str__. Currently RuViewMqttClient doesn't define repr — that's
the safest default (uses object identity). Lock that down so a
future "let's add a friendly repr" change doesn't expose creds."""
c = RuViewMqttClient(
broker_host="broker.example.com",
username="alice",
password="super-secret-token-do-not-leak",
)
rep = repr(c)
s = str(c)
assert "super-secret-token-do-not-leak" not in rep
assert "super-secret-token-do-not-leak" not in s
def test_mqtt_password_never_stored_in_plain_attribute() -> None:
"""The plaintext password must not be stored on the client
instance — paho-mqtt internalises it into `_client._username_pw`
which we never expose. Audit by walking the public dict."""
c = RuViewMqttClient(password="dont-leak-me")
for k, v in vars(c).items():
if isinstance(v, str):
assert "dont-leak-me" not in v, f"password leaked via attribute {k!r}"
# ─── HA discovery — adversarial topics ──────────────────────────────
def test_ha_discovery_rejects_topic_with_null_byte() -> None:
"""Defensive: regex must not match a null-byte-laced topic."""
bad = "homeassistant/binary_sensor/wifi_densepose_aa\x00bb/presence/config"
assert parse_discovery_topic(bad) is None
assert parse_discovery_payload(bad, {"name": "x"}) is None
def test_ha_discovery_rejects_topic_with_slash_in_node_id() -> None:
"""A node_id with embedded slashes would break the unique_id
contract; reject."""
bad = "homeassistant/binary_sensor/wifi_densepose_aa/bb/presence/config"
# The regex won't match because there are too many segments.
assert parse_discovery_topic(bad) is None
def test_ha_helper_drops_invalid_topic_silently() -> None:
"""`add_payload` should return False (not raise) for non-discovery
topics so a misconfigured broker doesn't bring down the client."""
h = HABlueprintHelper()
assert h.add_payload("garbage", {"x": 1}) is False
assert h.add_payload("ruview/aa/raw/edge_vitals", {"x": 1}) is False
assert len(h) == 0
def test_ha_helper_handles_non_dict_payload() -> None:
"""If the HA discovery body is a list or scalar (broken producer),
the helper must reject rather than crash on attribute access."""
h = HABlueprintHelper()
topic = "homeassistant/binary_sensor/wifi_densepose_aabb/presence/config"
assert h.add_payload(topic, "[1, 2, 3]") is False
assert h.add_payload(topic, "42") is False
assert h.add_payload(topic, b"\xff\xfe invalid utf-8") is False
# ─── Semantic primitive listener — adversarial input ────────────────
def test_primitive_listener_ignores_topic_injection_attempts() -> None:
listener = SemanticPrimitiveListener()
# Extra leading segments
assert listener.handle_mqtt_message(
"evil/homeassistant/binary_sensor/wifi_densepose_aa/someone_sleeping/state",
"ON",
) is None
# Wrong final segment
assert listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aa/someone_sleeping/STATE",
"ON",
) is None
# Empty node_id after the wifi_densepose_ prefix is still routed
# (the node_id is "") because we don't enforce a minimum length —
# but that's not an injection vector. Confirm behaviour.
evt = listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_/someone_sleeping/state",
"ON",
)
assert evt is not None
assert evt.node_id == ""
def test_primitive_listener_handles_garbage_payload_without_crash() -> None:
listener = SemanticPrimitiveListener()
# Bytes that aren't valid UTF-8
evt = listener.handle_mqtt_message(
"homeassistant/binary_sensor/wifi_densepose_aa/room_active/state",
b"\xff\xfe\xfd",
)
assert evt is not None # we return a sentinel rather than crash
# No assertions on state content — undefined for invalid UTF-8;
# what matters is no exception escaped.
# ─── Public surface integrity ───────────────────────────────────────
def test_public_surface_is_stable() -> None:
"""Every name in `wifi_densepose.__all__` must be resolvable.
Catches accidental re-export breakage between phases."""
import wifi_densepose
for name in wifi_densepose.__all__:
assert hasattr(wifi_densepose, name), f"__all__ promises {name!r} but attribute missing"
def test_client_public_surface_is_stable() -> None:
import wifi_densepose.client as c
for name in c.__all__:
# Lazy re-exports for SensingClient + RuViewMqttClient need to
# be resolvable too — touch them to exercise __getattr__.
_ = getattr(c, name)
# ─── Handler crash isolation (expanded) ─────────────────────────────
def test_mqtt_handler_exception_isolation_with_multiple_handlers() -> None:
"""Earlier test covered one crashing handler; this version makes
sure a crashing handler in the *middle* of a list of registered
handlers doesn't prevent later handlers from firing."""
c = RuViewMqttClient()
received_before: list[str] = []
received_after: list[str] = []
c.on_message("a/+", lambda t, p: received_before.append(t))
c.on_message("a/b", lambda t, p: (_ for _ in ()).throw(RuntimeError("middle crash")))
c.on_message("+/b", lambda t, p: received_after.append(t))
msg = SimpleNamespace(topic="a/b", payload=b"x")
c._on_message(None, None, msg)
assert received_before == ["a/b"]
assert received_after == ["a/b"]

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"""ADR-117 P1 smoke tests — assert the maturin-built wheel loads and
its compiled module is callable.
These tests are the first acceptance gate of the v2.0 PyPI publish
pipeline (ADR-117 §11.1 — ``cargo test`` equivalent at the Python
level). They run on every cibuildwheel target in P5's CI matrix.
"""
from __future__ import annotations
def test_package_imports() -> None:
"""The top-level package must import without error."""
import wifi_densepose # noqa: F401
def test_version_string_well_formed() -> None:
"""Version string follows PEP 440 + matches pyproject.toml."""
import re
import wifi_densepose
assert isinstance(wifi_densepose.__version__, str)
# Allow pre-release segments (a, b, rc, dev) for non-final wheels.
assert re.match(
r"^\d+\.\d+\.\d+(a|b|rc|\.dev)?\d*$", wifi_densepose.__version__
), f"non-PEP-440 version: {wifi_densepose.__version__}"
def test_rust_version_surfaced() -> None:
"""Bound Rust core version must be reachable from Python.
This is the diagnostic surface ADR-117 §5.2 promised — users in
bug reports can paste ``wifi_densepose.__rust_version__`` so we
correlate behaviour with the exact ``v2/crates/`` HEAD.
"""
import wifi_densepose
assert isinstance(wifi_densepose.__rust_version__, str)
assert wifi_densepose.__rust_version__ # non-empty
def test_build_features_listed() -> None:
"""The wheel's build-time features must be enumerable.
P1 ships only the ``p1-scaffold`` feature marker; later phases
add more entries. The test asserts the contract that the list
exists and contains the P1 marker.
"""
import wifi_densepose
feats = wifi_densepose.__build_features__
assert isinstance(feats, list)
assert all(isinstance(f, str) for f in feats)
assert "p1-scaffold" in feats, f"P1 marker missing: {feats}"
def test_hello_returns_ok() -> None:
"""The compiled ``hello`` function round-trips through PyO3.
This is the actual smoke test — proves the FFI works end-to-end.
If this passes on every cibuildwheel target, the PyO3 build matrix
is healthy.
"""
import wifi_densepose
assert wifi_densepose.hello() == "ok"
def test_native_module_private() -> None:
"""The compiled module is reachable but marked private.
Users should ``import wifi_densepose``, not ``import
wifi_densepose._native``. The underscore prefix communicates that.
"""
import wifi_densepose
from wifi_densepose import _native
assert hasattr(_native, "hello"), "compiled module missing hello()"
# Both paths must return the same value.
assert wifi_densepose.hello() == _native.hello()

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"""ADR-117 P3 — Tests for vital-sign extraction bindings.
Covers:
- VitalStatus enum (eq, eq_int, hash, frozen)
- VitalEstimate construction + getters + immutability
- VitalReading composite + getters
- BreathingExtractor + HeartRateExtractor — esp32_default, explicit
ctor, extract() return type, validation behaviour
The Rust pipeline is unit-tested in `v2/crates/wifi-densepose-vitals/`.
These tests are deliberately scoped to the *binding* layer — does the
Python surface return the right shapes, raise the right errors, and
release the GIL safely.
"""
from __future__ import annotations
import math
from random import Random
import pytest
import wifi_densepose
from wifi_densepose import (
BreathingExtractor,
HeartRateExtractor,
VitalEstimate,
VitalReading,
VitalStatus,
)
# ─── VitalStatus enum ────────────────────────────────────────────────
def test_vital_status_variants_present() -> None:
assert VitalStatus.Valid != VitalStatus.Degraded
assert VitalStatus.Unreliable != VitalStatus.Unavailable
def test_vital_status_equality_against_int() -> None:
# eq_int → enum can be compared to int (PyO3 0.22 surface)
assert VitalStatus.Valid == 0
assert VitalStatus.Unavailable == 3
def test_vital_status_is_hashable() -> None:
# frozen + hash → can be used as dict key / set member
s = {VitalStatus.Valid, VitalStatus.Valid, VitalStatus.Degraded}
assert len(s) == 2
def test_vital_status_repr_contains_variant_name() -> None:
r = repr(VitalStatus.Valid)
assert "VitalStatus" in r and "Valid" in r
# ─── VitalEstimate ───────────────────────────────────────────────────
def test_vital_estimate_construction_and_getters() -> None:
est = VitalEstimate(value_bpm=72.4, confidence=0.85, status=VitalStatus.Valid)
assert math.isclose(est.value_bpm, 72.4)
assert math.isclose(est.confidence, 0.85)
assert est.status == VitalStatus.Valid
def test_vital_estimate_is_frozen() -> None:
est = VitalEstimate(value_bpm=72.0, confidence=0.9, status=VitalStatus.Valid)
with pytest.raises(AttributeError):
est.value_bpm = 100.0 # type: ignore[misc]
def test_vital_estimate_repr_is_readable() -> None:
est = VitalEstimate(value_bpm=72.0, confidence=0.9, status=VitalStatus.Valid)
r = repr(est)
assert "VitalEstimate" in r
assert "72" in r
# ─── VitalReading ────────────────────────────────────────────────────
def test_vital_reading_construction_and_getters() -> None:
br = VitalEstimate(value_bpm=14.0, confidence=0.9, status=VitalStatus.Valid)
hr = VitalEstimate(value_bpm=72.0, confidence=0.8, status=VitalStatus.Degraded)
reading = VitalReading(
respiratory_rate=br,
heart_rate=hr,
subcarrier_count=56,
signal_quality=0.77,
timestamp_secs=1700000000.5,
)
assert reading.respiratory_rate.value_bpm == 14.0
assert reading.heart_rate.status == VitalStatus.Degraded
assert reading.subcarrier_count == 56
assert math.isclose(reading.signal_quality, 0.77)
assert math.isclose(reading.timestamp_secs, 1700000000.5)
# ─── BreathingExtractor ──────────────────────────────────────────────
def test_breathing_esp32_default_constructs() -> None:
br = BreathingExtractor.esp32_default()
assert br is not None
assert "BreathingExtractor" in repr(br)
def test_breathing_explicit_ctor() -> None:
br = BreathingExtractor(n_subcarriers=64, sample_rate=200.0, window_secs=20.0)
assert br is not None
def test_breathing_extract_returns_none_with_too_few_samples() -> None:
"""One frame can't produce a 30-second window — must return None.
Verifies the binding propagates Rust's `Option<VitalEstimate>` →
Python None correctly (vs raising or returning a default).
"""
br = BreathingExtractor.esp32_default()
out = br.extract(residuals=[0.0] * 56, weights=[])
assert out is None
def test_breathing_extract_accepts_empty_weights() -> None:
"""Empty weights vector means "equal weight per subcarrier" by
convention (per breathing.rs)."""
br = BreathingExtractor.esp32_default()
out = br.extract(residuals=[0.01] * 56, weights=[])
# Even with synthetic input it may return None until enough history
# accumulates — what matters is that the call doesn't panic.
assert out is None or isinstance(out, VitalEstimate)
def test_breathing_extract_with_synthetic_signal() -> None:
"""Drive the extractor with a synthetic 0.25 Hz sine (15 BPM) for
enough samples to fill the 30-second window. Don't assert the exact
BPM — just that the extractor *eventually* produces a result (rather
than returning None forever)."""
br = BreathingExtractor.esp32_default()
sample_rate = 100.0
target_freq = 0.25 # 15 BPM
# Run 40 seconds of synthetic data — comfortably past the 30s window.
n_samples = int(40 * sample_rate)
weights = [1.0] * 56
produced_estimate = False
rng = Random(42)
for i in range(n_samples):
t = i / sample_rate
base = math.sin(2.0 * math.pi * target_freq * t)
# Per-subcarrier residual: same signal + small per-carrier noise
residuals = [base + rng.gauss(0.0, 0.01) for _ in range(56)]
est = br.extract(residuals=residuals, weights=weights)
if est is not None:
produced_estimate = True
assert isinstance(est.value_bpm, float)
assert 0.0 <= est.confidence <= 1.0
assert est.status in (
VitalStatus.Valid,
VitalStatus.Degraded,
VitalStatus.Unreliable,
VitalStatus.Unavailable,
)
break
assert produced_estimate, "BreathingExtractor never produced an estimate after 40s of synthetic data"
# ─── HeartRateExtractor ──────────────────────────────────────────────
def test_heart_rate_esp32_default_constructs() -> None:
hr = HeartRateExtractor.esp32_default()
assert hr is not None
assert "HeartRateExtractor" in repr(hr)
def test_heart_rate_explicit_ctor() -> None:
hr = HeartRateExtractor(n_subcarriers=64, sample_rate=200.0, window_secs=10.0)
assert hr is not None
def test_heart_rate_extract_returns_none_with_too_few_samples() -> None:
hr = HeartRateExtractor.esp32_default()
out = hr.extract(residuals=[0.0] * 56, weights=[])
assert out is None
# ─── Build feature flag ──────────────────────────────────────────────
def test_p3_vitals_in_build_features() -> None:
assert "p3-vitals-bindings" in wifi_densepose.__build_features__

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dist/
build/
*.egg-info/

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# wifi-densepose 1.99.0 — tombstone release
This sub-directory builds the **tombstone wheel** described in
[ADR-117 §7.2](../../docs/adr/ADR-117-pip-wifi-densepose-modernization.md).
`wifi-densepose==1.1.0` was published on 2025-06-07 as a pure-Python
FastAPI + PyTorch server. v2.0+ is a hard rewrite around the Rust
crates in [`v2/crates/`](../../v2/crates/) exposed via PyO3.
`wifi-densepose==1.99.0` ships **no real code** — its `__init__.py`
raises `ImportError` with a migration URL. The point is that any
project pinned to `wifi-densepose>=1,<2` that runs `pip install -U
wifi-densepose` gets a clear, actionable error instead of a silent
import of a broken legacy server.
## Build locally
```bash
cd python/tombstone
python -m build
```
Result: `dist/wifi_densepose-1.99.0-py3-none-any.whl` and the matching sdist.
## Smoke-test
```bash
pip install dist/wifi_densepose-1.99.0-py3-none-any.whl
python -c "import wifi_densepose"
# Expected: ImportError with the migration URL.
```
## Publish
Publishing is done by the `pip-release.yml` GH Actions workflow, gated
on a `v1.99.0-pip` tag OR an explicit `workflow_dispatch` with
`target: v1-99-tombstone`. Per ADR-117 §7.3 this should publish
*before* `v2.0.0` to claim the "current" slot in pip's resolver.

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# ADR-117 §7.2 / §7.4 — v1.99.0 tombstone release.
#
# This sub-directory builds a SEPARATE PyPI artifact from the v2.0+
# PyO3 wheel in ../. The two share the PyPI project name
# `wifi-densepose` but represent different versions:
#
# 1.0.0–1.1.0 legacy pure-Python server (archive/v1/)
# 1.99.0 THIS PACKAGE — pure-Python wheel whose only behaviour
# is to raise ImportError with the migration URL on
# first import. Acts as a soft-fence for users pinned
# to wifi-densepose>=1,<2.
# 2.0.0+ PyO3 + maturin Rust core (../pyproject.toml)
#
# Build:
# cd python/tombstone
# python -m build
#
# Result: a SINGLE `py3-none-any` wheel plus an sdist. Nothing
# compiled, no platform-specific tags.
[build-system]
requires = ["setuptools>=68"]
build-backend = "setuptools.build_meta"
[project]
name = "wifi-densepose"
version = "1.99.0"
description = "Tombstone release. wifi-densepose v1.x is superseded by v2.0+ (PyO3 bindings to the Rust core). Install wifi-densepose==2.0.0 — see https://github.com/ruvnet/RuView/blob/main/docs/pip-migration.md"
readme = "README.md"
requires-python = ">=3.8"
license = { text = "MIT" }
authors = [
{ name = "rUv", email = "ruv@ruv.net" },
]
keywords = ["wifi", "csi", "pose-estimation", "deprecated", "migration"]
classifiers = [
"Development Status :: 7 - Inactive",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
]
# No runtime dependencies — the import raises before any code runs.
dependencies = []
[project.urls]
Homepage = "https://github.com/ruvnet/RuView"
"Migration guide" = "https://github.com/ruvnet/RuView/blob/main/docs/pip-migration.md"
"ADR-117 (modernization plan)" = "https://github.com/ruvnet/RuView/blob/main/docs/adr/ADR-117-pip-wifi-densepose-modernization.md"
[tool.setuptools]
packages = ["wifi_densepose"]
package-dir = { "" = "src" }

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# ADR-117 §7.2 — v1.99.0 tombstone.
#
# This module is part of the `wifi-densepose==1.99.0` PyPI release.
# Its ONLY job is to raise ImportError on import so any project that
# upgraded from the legacy 1.x line gets a clear migration error
# rather than a silent broken import.
#
# The real package lives at `wifi-densepose>=2.0.0` (built by the
# PyO3+maturin pipeline in `python/`).
raise ImportError(
"wifi-densepose 1.x has been superseded by v2.0.0 which wraps the Rust-based stack.\n"
"\n"
" pip install wifi-densepose==2.0.0\n"
"\n"
"Migration guide: https://github.com/ruvnet/RuView/blob/main/docs/pip-migration.md\n"
"Modernization rationale: https://github.com/ruvnet/RuView/blob/main/docs/adr/ADR-117-pip-wifi-densepose-modernization.md\n"
"Legacy v1 source (archived): https://github.com/ruvnet/RuView/tree/main/archive/v1\n"
)

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"""ADR-117 §7.2 — Unit test for the v1.99.0 tombstone wheel.
Verifies the *file content* of the tombstone module without actually
importing it (importing it would raise ImportError, which is the
behaviour under test). The CI workflow `pip-release.yml` runs the
real end-to-end install + import test inside an ephemeral venv.
"""
from __future__ import annotations
import pathlib
TOMBSTONE = pathlib.Path(__file__).parent.parent / "src" / "wifi_densepose" / "__init__.py"
def test_tombstone_file_exists() -> None:
assert TOMBSTONE.is_file(), f"tombstone module missing: {TOMBSTONE}"
def test_tombstone_raises_import_error() -> None:
"""The source must call `raise ImportError(...)`. We grep rather
than exec because actually running it would terminate the test."""
src = TOMBSTONE.read_text(encoding="utf-8")
assert "raise ImportError(" in src, "tombstone does not raise ImportError"
def test_tombstone_contains_v2_install_hint() -> None:
src = TOMBSTONE.read_text(encoding="utf-8")
assert "pip install wifi-densepose==2.0.0" in src, (
"tombstone ImportError message must include the v2 pip install hint"
)
def test_tombstone_contains_migration_url() -> None:
src = TOMBSTONE.read_text(encoding="utf-8")
assert "docs/pip-migration.md" in src, (
"tombstone must point users at the migration guide"
)
def test_tombstone_is_minimal() -> None:
"""The whole point of the tombstone is that it's MINIMAL — no
imports, no helper functions, no class definitions. Lock that
down so a well-intentioned refactor doesn't accidentally bloat it
into a real module that loads partway before failing."""
src = TOMBSTONE.read_text(encoding="utf-8")
forbidden = ("def ", "class ", "import wifi_densepose", "import os", "import sys")
for f in forbidden:
assert f not in src, f"tombstone must not contain {f!r} — it should ONLY raise"

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"""WiFi-DensePose — passive human sensing from WiFi CSI.
ADR-117 — v2.0 is a PyO3-bound replacement for the legacy pure-Python
``wifi-densepose==1.1.0`` (released 2025-06-07). The compiled core is
the same Rust workspace published in `v2/crates/` of the
`ruvnet/RuView <https://github.com/ruvnet/RuView>`_ repository.
Quick start::
import wifi_densepose
print(wifi_densepose.__version__)
print(wifi_densepose.__rust_version__)
print(wifi_densepose.hello()) # → "ok"
P1 (this release): scaffold. Core types land in P2; vital signs +
signal DSP in P3; WebSocket/MQTT client in P4. See the
`ADR-117 modernization plan
<https://github.com/ruvnet/RuView/blob/main/docs/adr/ADR-117-pip-wifi-densepose-modernization.md>`_
for the full phase ledger.
Migrating from v1.x: the v1 line was pure-Python and had a different
API surface. v2 is a hard break (semver-justified). See the
``v1.99.0`` tombstone wheel for the migration URL.
"""
from __future__ import annotations
# Public Python version follows the wheel version, NOT the Rust core
# version. The Rust core version is surfaced separately as
# `__rust_version__` for diagnostics.
__version__ = "2.0.0a1"
# Re-export the compiled module's surface. The leading underscore on
# `_native` is intentional — it marks the binding module as internal.
# Users always import from `wifi_densepose` directly.
from wifi_densepose import _native
# ─── P2 — Core type re-exports ───────────────────────────────────────
# Bound types land in `wifi_densepose._native` and are re-exported here
# under their stable public names. Users always `from wifi_densepose
# import Keypoint, KeypointType` — never reach into `_native`.
Keypoint = _native.Keypoint
KeypointType = _native.KeypointType
BoundingBox = _native.BoundingBox
PersonPose = _native.PersonPose
PoseEstimate = _native.PoseEstimate
# ─── P3 — Vital sign extraction ──────────────────────────────────────
VitalStatus = _native.VitalStatus
VitalEstimate = _native.VitalEstimate
VitalReading = _native.VitalReading
BreathingExtractor = _native.BreathingExtractor
HeartRateExtractor = _native.HeartRateExtractor
# ─── P3.5 — BFLD (Beamforming Feedback Loop Data) ─────────────────────
BfldKind = _native.BfldKind
BfldFrame = _native.BfldFrame
BfldReport = _native.BfldReport
__rust_version__: str = _native.__rust_version__
"""Version of the bound Rust core. Useful for bug reports."""
__rust_build_tag__: str = _native.__rust_build_tag__
"""Build tag of the Rust core (P5 will swap this for the git SHA)."""
__build_features__: list[str] = list(_native.__build_features__)
"""Feature flags the wheel was compiled with."""
def hello() -> str:
"""Smoke test — confirms the compiled module loads and is callable.
Returns:
Always ``"ok"`` if the wheel built and loaded correctly.
Used by ``python/tests/test_smoke.py`` to assert the PyO3 round-trip
works end-to-end on every cibuildwheel target.
"""
return _native.hello()
__all__ = [
"__version__",
"__rust_version__",
"__rust_build_tag__",
"__build_features__",
"hello",
# P2 — core types
"Keypoint",
"KeypointType",
"BoundingBox",
"PersonPose",
"PoseEstimate",
# P3 — vital sign extraction
"VitalStatus",
"VitalEstimate",
"VitalReading",
"BreathingExtractor",
"HeartRateExtractor",
# P3.5 — BFLD (forward-compat surface for the future Rust crate)
"BfldKind",
"BfldFrame",
"BfldReport",
]

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"""ADR-117 P4 — Pure-Python client layer.
This sub-package is the **client-facing** half of `wifi-densepose`:
end users who only want to *consume* live RuView telemetry (rather than
running DSP locally) get a tight, opt-in client extra:
```
pip install "wifi-densepose[client]"
```
The runtime install footprint stays small for users who only need the
compiled PyO3 surface: `websockets` and `paho-mqtt` are declared as the
`[client]` extra in `pyproject.toml` and are NOT pulled in by the
default install.
## Modules
- `ws` — `SensingClient`: asyncio WebSocket client for the
sensing-server `/ws/sensing` endpoint (ADR-115 §1)
- `mqtt` — `RuViewMqttClient`: paho-mqtt v2 wrapper for
`ruview/<node>/raw/+` + `homeassistant/+/wifi_densepose_<node>/+/+`
topics (ADR-115 §3)
- `primitives` — `SemanticPrimitiveListener`: typed view over the
10 HA-MIND semantic primitives (ADR-115 §3.12)
- `ha` — `HABlueprintHelper`: parses MQTT-discovery payloads, helps
users introspect what entities a node is publishing
No PyO3 here — this module is pure Python so it loads without the
compiled extension (useful for users who only want the client surface
and not the DSP pipeline).
"""
from __future__ import annotations
# Re-export the user-facing types. Import errors are deferred to the
# moment the user actually instantiates one of these classes — that way
# `from wifi_densepose.client import HABlueprintHelper` still works
# even if the user hasn't installed `[client]` extras yet (HABlueprint
# is pure stdlib).
from wifi_densepose.client.ha import (
HaDiscoveryPayload,
HaEntity,
HABlueprintHelper,
)
from wifi_densepose.client.primitives import (
SemanticPrimitive,
SemanticPrimitiveEvent,
SemanticPrimitiveListener,
)
__all__ = [
# ws — re-exported lazily; see module docstring
"SensingClient",
"SensingMessage",
"EdgeVitalsMessage",
"PoseDataMessage",
"ConnectionEstablishedMessage",
# mqtt — re-exported lazily; see module docstring
"RuViewMqttClient",
# ha — pure stdlib
"HaDiscoveryPayload",
"HaEntity",
"HABlueprintHelper",
# primitives — pure stdlib
"SemanticPrimitive",
"SemanticPrimitiveEvent",
"SemanticPrimitiveListener",
]
def __getattr__(name: str):
"""Lazy re-exports for the modules that pull in optional extras.
`SensingClient` needs `websockets`; `RuViewMqttClient` needs
`paho-mqtt`. Importing those at package init would make
`wifi_densepose.client` unusable without the extras installed
— defeating the point of an *optional* extra. We defer the import
until the attribute is actually looked up.
"""
if name in {
"SensingClient",
"SensingMessage",
"EdgeVitalsMessage",
"PoseDataMessage",
"ConnectionEstablishedMessage",
}:
from wifi_densepose.client import ws as _ws
return getattr(_ws, name)
if name == "RuViewMqttClient":
from wifi_densepose.client.mqtt import RuViewMqttClient as _R
return _R
raise AttributeError(f"module 'wifi_densepose.client' has no attribute {name!r}")

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"""ADR-117 P4 — Home Assistant MQTT-discovery payload helpers.
Parses the `homeassistant/<entity_kind>/wifi_densepose_<node>/<id>/config`
discovery payloads described in ADR-115 §3 into typed Python objects so
client code can introspect what a node is publishing without
hand-parsing JSON.
This is **read-only**: we do NOT generate discovery payloads from
Python (that's the sensing-server's job). The helper exists so a
client (HA blueprint author, debugger, dashboard) can ask "what
entities does this node expose?" and get a structured answer.
Example:
```python
from wifi_densepose.client import HaDiscoveryPayload, HABlueprintHelper
helper = HABlueprintHelper()
helper.add_payload(topic, json_bytes)
for entity in helper.entities_for_node("aabbccddeeff"):
print(entity.entity_kind, entity.object_id, entity.unique_id)
```
"""
from __future__ import annotations
import json
import re
from dataclasses import dataclass, field
from typing import Any, Iterable
# ─── Topic schema ────────────────────────────────────────────────────
# Matches discovery topics like:
# homeassistant/binary_sensor/wifi_densepose_aabbccddeeff/presence/config
# homeassistant/sensor/wifi_densepose_aabbccddeeff/heart_rate/config
# homeassistant/event/wifi_densepose_aabbccddeeff/fall/config
_DISCOVERY_TOPIC_RE = re.compile(
r"^homeassistant/"
r"(?P<entity_kind>[A-Za-z_]+)/"
r"wifi_densepose_(?P<node_id>[A-Za-z0-9]+)/"
r"(?P<object_id>[A-Za-z0-9_\-]+)/"
r"config$"
)
@dataclass(frozen=True)
class HaDiscoveryPayload:
"""One MQTT discovery payload (config topic + JSON body)."""
entity_kind: str # "binary_sensor", "sensor", "event", "switch", ...
node_id: str # the node's MAC-ish identifier
object_id: str # entity slug (e.g. "presence", "heart_rate")
payload: dict[str, Any]
@property
def topic(self) -> str:
return (
f"homeassistant/{self.entity_kind}/"
f"wifi_densepose_{self.node_id}/{self.object_id}/config"
)
@dataclass(frozen=True)
class HaEntity:
"""A user-facing view of one HA entity registered by a node."""
entity_kind: str
node_id: str
object_id: str
unique_id: str = ""
name: str = ""
state_topic: str = ""
device_class: str = ""
unit_of_measurement: str = ""
icon: str = ""
json_attributes_topic: str = ""
@classmethod
def from_payload(cls, p: HaDiscoveryPayload) -> "HaEntity":
body = p.payload
return cls(
entity_kind=p.entity_kind,
node_id=p.node_id,
object_id=p.object_id,
unique_id=str(body.get("unique_id", "")),
name=str(body.get("name", "")),
state_topic=str(body.get("state_topic", "")),
device_class=str(body.get("device_class", "")),
unit_of_measurement=str(body.get("unit_of_measurement", "")),
icon=str(body.get("icon", "")),
json_attributes_topic=str(body.get("json_attributes_topic", "")),
)
def parse_discovery_topic(topic: str) -> tuple[str, str, str] | None:
"""Parse a discovery config topic into (entity_kind, node_id,
object_id). Returns None for non-discovery topics."""
m = _DISCOVERY_TOPIC_RE.match(topic)
if not m:
return None
return (m.group("entity_kind"), m.group("node_id"), m.group("object_id"))
def parse_discovery_payload(
topic: str, payload: bytes | str | dict[str, Any]
) -> HaDiscoveryPayload | None:
"""Decode an HA discovery payload. Returns None for non-discovery
topics OR malformed JSON; raises only on programmer error."""
parsed = parse_discovery_topic(topic)
if parsed is None:
return None
entity_kind, node_id, object_id = parsed
body: dict[str, Any]
if isinstance(payload, dict):
body = payload
else:
if isinstance(payload, bytes):
try:
payload = payload.decode("utf-8")
except UnicodeDecodeError:
return None
try:
decoded = json.loads(payload)
except json.JSONDecodeError:
return None
if not isinstance(decoded, dict):
return None
body = decoded
return HaDiscoveryPayload(
entity_kind=entity_kind,
node_id=node_id,
object_id=object_id,
payload=body,
)
# ─── Helper / aggregator ─────────────────────────────────────────────
class HABlueprintHelper:
"""Aggregates HA discovery payloads observed on the bus and offers
structured queries against them.
Intended use: subscribe a RuViewMqttClient to
`homeassistant/+/wifi_densepose_+/+/config`, feed every message
into `add_payload()`, then ask the helper "what entities does
node X expose?" or "what binary_sensors are presence-class?".
"""
def __init__(self) -> None:
# (node_id, entity_kind, object_id) → HaDiscoveryPayload
self._payloads: dict[tuple[str, str, str], HaDiscoveryPayload] = {}
def add_payload(self, topic: str, payload: bytes | str | dict[str, Any]) -> bool:
"""Returns True if the payload was a valid HA discovery
message and was stored; False otherwise."""
parsed = parse_discovery_payload(topic, payload)
if parsed is None:
return False
self._payloads[(parsed.node_id, parsed.entity_kind, parsed.object_id)] = parsed
return True
def remove(self, node_id: str, entity_kind: str, object_id: str) -> bool:
"""Drop a stored payload — useful when handling a discovery
retain-flag clear (HA's convention for removing an entity)."""
return self._payloads.pop((node_id, entity_kind, object_id), None) is not None
def __len__(self) -> int:
return len(self._payloads)
def __contains__(self, item: tuple[str, str, str]) -> bool:
return item in self._payloads
def all_payloads(self) -> list[HaDiscoveryPayload]:
return list(self._payloads.values())
def entities_for_node(self, node_id: str) -> list[HaEntity]:
return [
HaEntity.from_payload(p)
for p in self._payloads.values()
if p.node_id == node_id
]
def nodes(self) -> list[str]:
return sorted({p.node_id for p in self._payloads.values()})
def by_device_class(self, device_class: str) -> list[HaEntity]:
out: list[HaEntity] = []
for p in self._payloads.values():
e = HaEntity.from_payload(p)
if e.device_class == device_class:
out.append(e)
return out

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"""ADR-117 P4 — paho-mqtt v2 wrapper for RuView MQTT topics.
Subscribes to the topic namespaces defined in ADR-115:
- `ruview/<node>/raw/edge_vitals` — opt-in firehose of the WS edge_vitals
- `ruview/<node>/raw/pose` — opt-in firehose of pose data
- `ruview/<node>/raw/sensing_update` — opt-in firehose of every sensing update
- `homeassistant/+/wifi_densepose_<node>/+/config` — HA discovery payloads
- `homeassistant/+/wifi_densepose_<node>/+/state` — HA state payloads
The client uses **paho-mqtt v2's `Client(CallbackAPIVersion.VERSION2)`**
API explicitly. v1's deprecated callback signatures will not work.
Example:
```python
from wifi_densepose.client import RuViewMqttClient
def on_edge_vitals(topic, payload):
print(topic, payload["breathing_rate_bpm"])
client = RuViewMqttClient(broker_host="localhost", broker_port=1883)
client.on_message("ruview/+/raw/edge_vitals", on_edge_vitals)
client.start()
# ... runs in a background thread; call client.stop() to disconnect
```
The constructor never connects; call `.start()` to enter the network
loop and `.stop()` to disconnect cleanly. Both are idempotent.
"""
from __future__ import annotations
import json
import logging
import threading
import uuid
from typing import Any, Callable, Optional
try:
import paho.mqtt.client as mqtt # type: ignore[import-not-found]
from paho.mqtt.enums import CallbackAPIVersion # type: ignore[import-not-found]
_PAHO_AVAILABLE = True
except ImportError: # pragma: no cover
_PAHO_AVAILABLE = False
log = logging.getLogger(__name__)
MessageHandler = Callable[[str, Any], None]
"""(topic, decoded_payload) → None. The payload is JSON-decoded if the
content is valid JSON, otherwise the raw bytes are passed through."""
class RuViewMqttClient:
"""Wrapper around paho-mqtt v2 with per-topic-pattern callbacks.
Per the rumqttc lesson [[feedback_mqtt_integration_test_patterns]]:
- Each instance gets a unique client_id (per-test isolation when
tests run in parallel against the same broker).
- Subscription wildcards (`+`, `#`) are supported by paho's
built-in matcher; we route by exact pattern match against the
registered handler.
"""
def __init__(
self,
*,
broker_host: str = "localhost",
broker_port: int = 1883,
client_id: Optional[str] = None,
username: Optional[str] = None,
password: Optional[str] = None,
keepalive: int = 60,
tls: bool = False,
) -> None:
if not _PAHO_AVAILABLE:
raise ImportError(
"RuViewMqttClient requires the `paho-mqtt` package. Install with "
"`pip install \"wifi-densepose[client]\"` to enable the client extras."
)
self.broker_host = broker_host
self.broker_port = broker_port
self.keepalive = keepalive
self._client_id = client_id or f"wifi-densepose-client-{uuid.uuid4().hex[:12]}"
self._handlers: dict[str, MessageHandler] = {}
self._handlers_lock = threading.Lock()
self._client = mqtt.Client(
callback_api_version=CallbackAPIVersion.VERSION2,
client_id=self._client_id,
clean_session=True,
)
if username is not None:
self._client.username_pw_set(username, password)
if tls:
self._client.tls_set()
self._client.on_connect = self._on_connect
self._client.on_message = self._on_message
self._client.on_disconnect = self._on_disconnect
self._started = False
self._connected_event = threading.Event()
@property
def client_id(self) -> str:
return self._client_id
@property
def connected(self) -> bool:
return self._connected_event.is_set()
# ── handler registration ─────────────────────────────────────────
def on_message(self, topic_pattern: str, handler: MessageHandler) -> None:
"""Register a handler for a topic pattern. Replaces any
previous handler for the same pattern."""
with self._handlers_lock:
self._handlers[topic_pattern] = handler
def unsubscribe_handler(self, topic_pattern: str) -> None:
with self._handlers_lock:
self._handlers.pop(topic_pattern, None)
if self._started:
self._client.unsubscribe(topic_pattern)
# ── lifecycle ────────────────────────────────────────────────────
def start(self) -> None:
"""Connect to the broker and enter the network loop in a
background thread. Idempotent."""
if self._started:
return
self._client.connect(self.broker_host, self.broker_port, self.keepalive)
self._client.loop_start()
self._started = True
def wait_connected(self, timeout: float = 5.0) -> bool:
"""Block until CONNACK has been received. Returns True on
connect, False on timeout. Mirrors the rumqttc SubAck pump
pattern but for paho's connect step."""
return self._connected_event.wait(timeout=timeout)
def stop(self) -> None:
"""Disconnect and stop the network loop. Idempotent."""
if not self._started:
return
try:
self._client.disconnect()
except Exception as e: # pragma: no cover — best-effort
log.debug("ignored mqtt disconnect error: %r", e)
try:
self._client.loop_stop()
except Exception as e: # pragma: no cover
log.debug("ignored mqtt loop_stop error: %r", e)
self._started = False
self._connected_event.clear()
def publish(
self,
topic: str,
payload: Any,
*,
qos: int = 0,
retain: bool = False,
) -> None:
"""Publish a payload. Dicts/lists are JSON-encoded; bytes pass
through; strings are encoded UTF-8."""
if isinstance(payload, (dict, list)):
data: Any = json.dumps(payload, default=str)
else:
data = payload
info = self._client.publish(topic, data, qos=qos, retain=retain)
# paho v2 returns MQTTMessageInfo; rc != MQTT_ERR_SUCCESS is a
# broker-side error we should propagate so callers don't think
# the publish succeeded.
if info.rc != mqtt.MQTT_ERR_SUCCESS:
raise RuntimeError(f"mqtt publish failed: topic={topic} rc={info.rc}")
# ── paho callbacks (v2 signatures) ───────────────────────────────
def _on_connect(self, client: Any, _userdata: Any, _flags: Any, reason_code: Any, _properties: Any = None) -> None:
# paho v2 passes ReasonCode; success is 0 ("Success" / Granted_QoS_0)
rc = int(reason_code) if hasattr(reason_code, "__int__") else reason_code
if rc == 0:
self._connected_event.set()
# Re-subscribe to all known patterns. Important after a
# reconnect — paho doesn't auto-resubscribe with
# clean_session=True.
with self._handlers_lock:
patterns = list(self._handlers.keys())
for pattern in patterns:
client.subscribe(pattern)
log.debug("mqtt CONNACK ok; subscribed to %d pattern(s)", len(patterns))
else:
log.warning("mqtt CONNACK with non-success rc=%r", reason_code)
def _on_disconnect(self, _client: Any, _userdata: Any, _flags: Any = None, reason_code: Any = None, _properties: Any = None) -> None:
self._connected_event.clear()
log.debug("mqtt disconnected rc=%r", reason_code)
def _on_message(self, _client: Any, _userdata: Any, message: Any) -> None:
topic = message.topic
# Best-effort JSON decode — fall back to raw bytes if it's not JSON.
payload: Any
try:
payload = json.loads(message.payload.decode("utf-8"))
except (UnicodeDecodeError, json.JSONDecodeError):
payload = message.payload
with self._handlers_lock:
handlers = list(self._handlers.items())
for pattern, handler in handlers:
if _topic_matches(pattern, topic):
try:
handler(topic, payload)
except Exception as e: # never let a user callback crash the loop
log.exception("handler for pattern %r raised: %r", pattern, e)
# ── re-subscribe on demand ──────────────────────────────────────
def subscribe_registered(self) -> None:
"""Explicitly issue SUBSCRIBE for every registered handler.
Useful when you registered handlers AFTER calling start().
"""
if not self._started:
return
with self._handlers_lock:
patterns = list(self._handlers.keys())
for pattern in patterns:
self._client.subscribe(pattern)
# ─── Topic-pattern matching ──────────────────────────────────────────
def _topic_matches(pattern: str, topic: str) -> bool:
"""MQTT topic wildcard matcher.
- `+` matches exactly one topic level
- `#` matches one or more remaining levels (must be the final segment)
"""
p_parts = pattern.split("/")
t_parts = topic.split("/")
i = 0
while i < len(p_parts):
if p_parts[i] == "#":
return i == len(p_parts) - 1 and len(t_parts) >= i
if i >= len(t_parts):
return False
if p_parts[i] == "+":
i += 1
continue
if p_parts[i] != t_parts[i]:
return False
i += 1
return len(p_parts) == len(t_parts)

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"""ADR-117 P4 — Typed listener for HA-MIND semantic primitives.
ADR-115 §3.12 defines 10 fused inference outputs that the sensing-server
publishes under the HA-DISCO MQTT namespace. This module gives clients
a typed handle on them so they can write `if event.kind ==
SemanticPrimitive.SomeoneSleeping: ...` instead of pattern-matching
strings.
The 10 v1 primitives (ADR-115 §3.12.1):
| Enum value | Topic suffix | Output kind |
|---|---|---|
| `SomeoneSleeping` | `someone_sleeping` | binary_sensor |
| `PossibleDistress` | `possible_distress` | binary_sensor + event |
| `RoomActive` | `room_active` | binary_sensor |
| `ElderlyInactivityAnomaly` | `elderly_inactivity` | binary_sensor + event |
| `MeetingInProgress` | `meeting_in_progress` | binary_sensor |
| `BathroomOccupied` | `bathroom_occupied` | binary_sensor |
| `FallRiskElevated` | `fall_risk_elevated` | sensor (0–100) + event |
| `BedExit` | `bed_exit` | event |
| `NoMovementSafety` | `no_movement_safety` | binary_sensor + event |
| `MultiRoomTransition` | `multi_room_transition` | event |
"""
from __future__ import annotations
import enum
import json
from dataclasses import dataclass, field
from typing import Any, Callable, Optional
# ─── Enum ────────────────────────────────────────────────────────────
class SemanticPrimitive(enum.Enum):
"""One of the 10 HA-MIND fused inference outputs."""
SomeoneSleeping = "someone_sleeping"
PossibleDistress = "possible_distress"
RoomActive = "room_active"
ElderlyInactivityAnomaly = "elderly_inactivity"
MeetingInProgress = "meeting_in_progress"
BathroomOccupied = "bathroom_occupied"
FallRiskElevated = "fall_risk_elevated"
BedExit = "bed_exit"
NoMovementSafety = "no_movement_safety"
MultiRoomTransition = "multi_room_transition"
@classmethod
def from_object_id(cls, object_id: str) -> Optional["SemanticPrimitive"]:
for v in cls:
if v.value == object_id:
return v
return None
# ─── Event payload ───────────────────────────────────────────────────
@dataclass(frozen=True)
class SemanticPrimitiveEvent:
"""A single fired event for one semantic primitive.
`state` semantics depend on the primitive kind:
- binary_sensor: "ON" / "OFF"
- sensor: numeric string (e.g. "73" for fall_risk_elevated 0–100)
- event: "fired" or an event-class string like "bed_exit_detected"
"""
kind: SemanticPrimitive
node_id: str
state: str
confidence: float = 0.0
explanation: tuple[str, ...] = ()
timestamp: float = 0.0
raw: dict[str, Any] = field(default_factory=dict, hash=False, compare=False)
# ─── Listener ────────────────────────────────────────────────────────
Callback = Callable[[SemanticPrimitiveEvent], None]
class SemanticPrimitiveListener:
"""Routes raw MQTT state messages to per-primitive callbacks.
Designed to plug into RuViewMqttClient:
```python
from wifi_densepose.client import (
RuViewMqttClient, SemanticPrimitive, SemanticPrimitiveListener
)
listener = SemanticPrimitiveListener()
listener.on(SemanticPrimitive.SomeoneSleeping, lambda e: print(e))
client = RuViewMqttClient()
client.on_message(
"homeassistant/+/wifi_densepose_+/+/state",
listener.handle_mqtt_message,
)
client.start()
```
The listener itself never touches MQTT — it's a pure router. You
feed it `(topic, payload)` pairs and it figures out which primitive
the topic refers to and decodes the payload.
"""
# Matches state topics for any of the 10 primitives.
# homeassistant/<kind>/wifi_densepose_<node>/<primitive_slug>/state
_SLUGS = {p.value for p in SemanticPrimitive}
def __init__(self) -> None:
self._handlers: dict[Optional[SemanticPrimitive], list[Callback]] = {}
def on(self, primitive: SemanticPrimitive, cb: Callback) -> None:
"""Register a callback for a specific primitive."""
self._handlers.setdefault(primitive, []).append(cb)
def on_any(self, cb: Callback) -> None:
"""Register a callback that fires for ALL primitives. Useful
for logging or dashboards."""
self._handlers.setdefault(None, []).append(cb)
def handle_mqtt_message(self, topic: str, payload: Any) -> Optional[SemanticPrimitiveEvent]:
"""Decode one MQTT message into a SemanticPrimitiveEvent and
fire the matching callbacks. Returns the event (or None if the
topic was not a semantic-primitive state topic)."""
parts = topic.split("/")
# Shape: homeassistant / <kind> / wifi_densepose_<node> / <slug> / state
if len(parts) != 5:
return None
if parts[0] != "homeassistant" or parts[4] != "state":
return None
node_prefix = parts[2]
if not node_prefix.startswith("wifi_densepose_"):
return None
slug = parts[3]
if slug not in self._SLUGS:
return None
primitive = SemanticPrimitive.from_object_id(slug)
if primitive is None: # pragma: no cover — guarded above
return None
node_id = node_prefix[len("wifi_densepose_"):]
event = _decode_event(primitive, node_id, payload)
# Dispatch — primitive-specific first, then "any" handlers.
for cb in self._handlers.get(primitive, ()):
cb(event)
for cb in self._handlers.get(None, ()):
cb(event)
return event
def _decode_event(
primitive: SemanticPrimitive,
node_id: str,
payload: Any,
) -> SemanticPrimitiveEvent:
"""Decode a raw state payload into a typed event.
HA state payloads come in two shapes:
1. Plain string ("ON", "OFF", "73") — used by binary_sensor/sensor
with no json_attributes_topic.
2. JSON object with `state` + `confidence` + `explanation` fields —
used by HA-MIND semantic primitives per ADR-115 §3.12.4.
Both are supported transparently.
"""
if isinstance(payload, bytes):
try:
payload = payload.decode("utf-8")
except UnicodeDecodeError:
return SemanticPrimitiveEvent(
kind=primitive, node_id=node_id, state="", raw={}
)
if isinstance(payload, dict):
body = payload
elif isinstance(payload, str):
# Try to JSON-decode; if it's not JSON, treat as a plain state string.
try:
decoded = json.loads(payload)
except json.JSONDecodeError:
return SemanticPrimitiveEvent(
kind=primitive,
node_id=node_id,
state=payload,
raw={"state": payload},
)
if isinstance(decoded, dict):
body = decoded
else:
return SemanticPrimitiveEvent(
kind=primitive,
node_id=node_id,
state=str(decoded),
raw={"state": decoded},
)
else:
return SemanticPrimitiveEvent(
kind=primitive, node_id=node_id, state=str(payload), raw={}
)
expl = body.get("explanation") or body.get("reason") or ()
if isinstance(expl, str):
expl_tuple: tuple[str, ...] = (expl,)
else:
expl_tuple = tuple(str(x) for x in expl)
return SemanticPrimitiveEvent(
kind=primitive,
node_id=node_id,
state=str(body.get("state", "")),
confidence=float(body.get("confidence", 0.0)),
explanation=expl_tuple,
timestamp=float(body.get("timestamp", 0.0)),
raw=body,
)

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"""ADR-117 P4 — Asyncio WebSocket client for the sensing-server.
The Rust sensing-server (`v2/crates/wifi-densepose-sensing-server`)
broadcasts three structured message types over `ws://<host>:<port>/ws/sensing`:
| `type` field | Source line in main.rs | Payload shape |
|---|---|---|
| `connection_established` | 2596 | `{node_id, version, capabilities}` |
| `pose_data` | 2655 | `{node_id, timestamp, persons: [...], confidence}` |
| `edge_vitals` | 4548 | `{node_id, presence, fall_detected, motion, breathing_rate_bpm, heartrate_bpm, ...}` |
`SensingClient` is a pure-Python asyncio wrapper around `websockets>=12`
that connects, decodes JSON, and yields typed dataclasses.
Example:
```python
import asyncio
from wifi_densepose.client import SensingClient, EdgeVitalsMessage
async def main():
async with SensingClient("ws://localhost:8765/ws/sensing") as client:
async for msg in client.stream():
if isinstance(msg, EdgeVitalsMessage):
print(f"BR={msg.breathing_rate_bpm}, HR={msg.heartrate_bpm}")
asyncio.run(main())
```
"""
from __future__ import annotations
import asyncio
import json
import logging
from dataclasses import dataclass, field
from typing import Any, AsyncIterator, Optional
# Defer import — only fail at construction time, not at module load.
try:
import websockets # type: ignore[import-not-found]
from websockets.exceptions import ConnectionClosed # type: ignore[import-not-found]
_WEBSOCKETS_AVAILABLE = True
except ImportError: # pragma: no cover
_WEBSOCKETS_AVAILABLE = False
log = logging.getLogger(__name__)
# ─── Typed messages ──────────────────────────────────────────────────
@dataclass(frozen=True)
class SensingMessage:
"""Base class for typed sensing-server messages. The original JSON
payload is preserved in ``raw`` for forward-compatibility with
fields not yet modelled here."""
type: str
raw: dict[str, Any] = field(default_factory=dict, hash=False, compare=False)
@dataclass(frozen=True)
class ConnectionEstablishedMessage(SensingMessage):
"""First message after a successful WS handshake. Lets the client
discover the node ID and capability flags without making a separate
REST call."""
node_id: str = ""
version: str = ""
capabilities: tuple[str, ...] = ()
@dataclass(frozen=True)
class EdgeVitalsMessage(SensingMessage):
"""Vital-sign telemetry fused from the edge-vitals path
(ADR-021/ADR-110). Optional fields may be ``None`` when the
upstream channel hasn't produced a measurement yet."""
node_id: str = ""
presence: bool = False
fall_detected: bool = False
motion: float = 0.0
breathing_rate_bpm: Optional[float] = None
heartrate_bpm: Optional[float] = None
n_persons: int = 0
motion_energy: float = 0.0
presence_score: float = 0.0
rssi: Optional[float] = None
@dataclass(frozen=True)
class PoseDataMessage(SensingMessage):
"""17-keypoint pose data broadcast at the sensing-server's frame
cadence. Persons are a list of opaque dicts — typed PoseEstimate
decoding lives in the P2 bindings; the WS client passes through."""
node_id: str = ""
timestamp: float = 0.0
persons: tuple[dict[str, Any], ...] = ()
confidence: float = 0.0
# ─── Decoder ─────────────────────────────────────────────────────────
def _decode(raw_text: str) -> SensingMessage:
"""Decode a single WS frame into a typed message.
Unknown ``type`` values yield a plain ``SensingMessage`` rather
than raising — the sensing-server is on a faster release cadence
than this client, and unknown types should not break the stream.
"""
obj = json.loads(raw_text)
if not isinstance(obj, dict):
raise ValueError(f"sensing-server emitted non-dict payload: {type(obj).__name__}")
mtype = obj.get("type", "")
if mtype == "connection_established":
return ConnectionEstablishedMessage(
type=mtype,
raw=obj,
node_id=obj.get("node_id", ""),
version=obj.get("version", ""),
capabilities=tuple(obj.get("capabilities", ())),
)
if mtype == "edge_vitals":
return EdgeVitalsMessage(
type=mtype,
raw=obj,
node_id=obj.get("node_id", ""),
presence=bool(obj.get("presence", False)),
fall_detected=bool(obj.get("fall_detected", False)),
motion=float(obj.get("motion", 0.0)),
breathing_rate_bpm=(
float(obj["breathing_rate_bpm"])
if obj.get("breathing_rate_bpm") is not None else None
),
heartrate_bpm=(
float(obj["heartrate_bpm"])
if obj.get("heartrate_bpm") is not None else None
),
n_persons=int(obj.get("n_persons", 0)),
motion_energy=float(obj.get("motion_energy", 0.0)),
presence_score=float(obj.get("presence_score", 0.0)),
rssi=(float(obj["rssi"]) if obj.get("rssi") is not None else None),
)
if mtype == "pose_data":
persons = obj.get("persons", ())
return PoseDataMessage(
type=mtype,
raw=obj,
node_id=obj.get("node_id", ""),
timestamp=float(obj.get("timestamp", 0.0)),
persons=tuple(persons) if isinstance(persons, list) else (),
confidence=float(obj.get("confidence", 0.0)),
)
return SensingMessage(type=mtype, raw=obj)
# ─── Client ──────────────────────────────────────────────────────────
class SensingClient:
"""Asyncio WebSocket client for the RuView sensing-server.
Usage as async context manager:
```python
async with SensingClient("ws://localhost:8765/ws/sensing") as c:
async for msg in c.stream():
...
```
The client does NOT auto-reconnect — if you want resilience, wrap
the ``async with`` in your own retry loop. Auto-reconnect logic is
application-specific (e.g., "retry forever" for a long-running
automation vs "fail fast" for a CLI tool that should exit).
"""
def __init__(
self,
url: str,
*,
ping_interval: float = 20.0,
ping_timeout: float = 20.0,
max_size: int = 16 * 1024 * 1024,
) -> None:
if not _WEBSOCKETS_AVAILABLE:
raise ImportError(
"SensingClient requires the `websockets` package. Install with "
"`pip install \"wifi-densepose[client]\"` to enable the client extras."
)
self.url = url
self._ping_interval = ping_interval
self._ping_timeout = ping_timeout
self._max_size = max_size
self._ws: Any = None # websockets.WebSocketClientProtocol — typed Any to avoid import cost
async def __aenter__(self) -> "SensingClient":
self._ws = await websockets.connect(
self.url,
ping_interval=self._ping_interval,
ping_timeout=self._ping_timeout,
max_size=self._max_size,
)
return self
async def __aexit__(self, exc_type: Any, exc: Any, tb: Any) -> None:
await self.close()
async def close(self) -> None:
"""Idempotent connection close."""
if self._ws is not None:
try:
await self._ws.close()
except Exception as e: # pragma: no cover — best-effort close
log.debug("ignored WS close error: %r", e)
self._ws = None
async def stream(self) -> AsyncIterator[SensingMessage]:
"""Yield typed messages until the server closes the connection
or the context is exited.
Decode failures on individual frames are logged at WARN and
swallowed — a malformed frame should not terminate the stream
(the next frame may be fine)."""
if self._ws is None:
raise RuntimeError("SensingClient not connected. Use `async with` first.")
try:
async for frame in self._ws:
if isinstance(frame, bytes):
frame = frame.decode("utf-8", errors="replace")
try:
yield _decode(frame)
except (ValueError, json.JSONDecodeError) as e:
log.warning("dropping malformed sensing-server frame: %r", e)
except ConnectionClosed:
# Graceful EOF — exit the iterator normally.
return
async def send_ping(self) -> None:
"""Send an application-level ping. The sensing-server replies
with `{"type": "pong"}` (main.rs:2698)."""
if self._ws is None:
raise RuntimeError("SensingClient not connected. Use `async with` first.")
await self._ws.send(json.dumps({"type": "ping"}))
async def recv_one(self, *, timeout: Optional[float] = None) -> SensingMessage:
"""Receive a single decoded message. Convenience for short
scripts and tests that don't need an async generator."""
if self._ws is None:
raise RuntimeError("SensingClient not connected. Use `async with` first.")
if timeout is None:
frame = await self._ws.recv()
else:
frame = await asyncio.wait_for(self._ws.recv(), timeout=timeout)
if isinstance(frame, bytes):
frame = frame.decode("utf-8", errors="replace")
return _decode(frame)

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