* fix(ci): SAST actually scans the code + drop deprecated flaky semgrep action Two real problems in the Static Application Security Testing job: 1. **It scanned a path that no longer exists.** `bandit -r src/` and `semgrep … src/` pointed at the repo-root `src/`, but the Python code moved to `archive/v1/src/` (64 .py files) when the runtime was rewritten in Rust. So the SAST scan matched nothing — a silent no-op (this is also why `bandit-results.sarif` was "Path does not exist" on recent runs). Fixed both to `archive/v1/src/`. 2. **Deprecated + redundant + flaky semgrep step.** The `returntocorp/semgrep-action@v1` step pulled `returntocorp/semgrep-agent:v1` from Docker Hub every run (intermittently timing out → red check, e.g. on #929) and is EOL. It was redundant: the pip `semgrep --sarif` step is what feeds GitHub Security; the action only pushed to the Semgrep cloud app via SEMGREP_APP_TOKEN. Removed it and folded its `p/docker` + `p/kubernetes` rulesets into the pip semgrep command, so coverage is preserved with no Docker pull. The job stays `continue-on-error: true` (non-gating). YAML validated. Co-Authored-By: claude-flow <ruv@ruv.net> * fix(protocol): resolve 0xC511_0004 magic collision (closes #928) Background `0xC511_0004` was assigned to two different packet formats in firmware — `EDGE_FUSED_MAGIC` (ADR-063, 48-byte `edge_fused_vitals_pkt_t`) and `WASM_OUTPUT_MAGIC` (ADR-040, variable-length `wasm_output_pkt_t`). Both were transmitted. The sensing-server only had a WASM parser for that magic and no fused-vitals parser, so on the ESP32-C6 + MR60BHA2 mmWave configuration the fused-vitals packet was silently misparsed as a malformed WASM output — `breathing_rate` was read as `event_count`, mmWave-fused vitals were lost, and spurious WASM events were emitted to subscribers. Fix 1. Reassign `WASM_OUTPUT_MAGIC` to `0xC511_0007` (next free slot per the registry in `rv_feature_state.h`). Smaller blast radius than moving fused-vitals — the registry already treats `0xC511_0004` as fused-vitals canonical and several years of deployed feature tracking depends on that assignment. 2. Add `parse_edge_fused_vitals` + `EdgeFusedVitalsPacket` in `wifi-densepose-sensing-server::main`. Byte layout taken directly from `edge_processing.h:129`, mirroring the firmware's `_Static_assert(sizeof(edge_fused_vitals_pkt_t) == 48)` so future firmware changes that grow the packet will break this parser loudly instead of silently. 3. Add a dispatch arm in the UDP receive loop. Fused-vitals is tried BEFORE WASM so a stale firmware (still emitting 0xC511_0004 with the WASM payload) fails to parse as fused-vitals (size mismatch), then fails to parse as WASM (magic mismatch on the new 0x...0007), and gets dropped — a deliberate "fail loud" outcome rather than the pre-fix silent garbage. 4. Update the registry comment in `rv_feature_state.h` to add the new 0x...0007 row. 5. Add five tests in a new `issue_928_magic_collision_tests` mod: - `parse_edge_fused_vitals_extracts_fields_correctly` - `parse_edge_fused_vitals_rejects_short_buffer` - `parse_edge_fused_vitals_rejects_wrong_magic` - `parse_wasm_output_rejects_legacy_0004_magic` - `parse_wasm_output_accepts_new_0007_magic` WebSocket payload Fused-vitals now broadcasts as `{"type": "edge_fused_vitals", ...}` with the mmWave-specific block nested under `mmwave`. Schema is additive — existing subscribers that only inspect `type` are unaffected; subscribers that switch on `type` gain a new branch. Deployment note This is a wire-protocol change. Firmware older than this commit that emits WASM output on 0xC511_0004 will lose its WASM event stream against an updated host (host expects 0xC511_0007). Per the issue discussion, "fail loud" is preferred to silent misparsing. Operators running C6+mmWave should reflash firmware concurrent with the host upgrade. Test results cargo test -p wifi-densepose-sensing-server --no-default-features --bin sensing-server → 122 passed / 0 failed (5 new + 117 existing, unchanged) Co-Authored-By: claude-flow <ruv@ruv.net> |
||
|---|---|---|
| .. | ||
| benches | ||
| examples | ||
| src | ||
| tests | ||
| Cargo.toml | ||
| README.md | ||
README.md
wifi-densepose-sensing-server
Lightweight Axum server for real-time WiFi sensing with RuVector signal processing.
Overview
wifi-densepose-sensing-server is the operational backend for WiFi-DensePose. It receives raw CSI
frames from ESP32 hardware over UDP, runs them through the RuVector-powered signal processing
pipeline, and broadcasts processed sensing updates to browser clients via WebSocket. A built-in
static file server hosts the sensing UI on the same port.
The crate ships both a library (wifi_densepose_sensing_server) exposing the training and inference
modules, and a binary (sensing-server) that starts the full server stack.
Integrates wifi-densepose-wifiscan for multi-BSSID WiFi scanning per ADR-022 Phase 3.
Features
- UDP CSI ingestion -- Receives ESP32 CSI frames on port 5005 and parses them into the internal
CsiFramerepresentation. - Vital sign detection -- Pure-Rust FFT-based breathing rate (0.1--0.5 Hz) and heart rate (0.67--2.0 Hz) estimation from CSI amplitude time series (ADR-021).
- RVF container -- Standalone binary container format for packaging model weights, metadata, and
configuration into a single
.rvffile with 64-byte aligned segments. - RVF pipeline -- Progressive model loading with streaming segment decoding.
- Graph Transformer -- Cross-attention bottleneck between antenna-space CSI features and the
COCO 17-keypoint body graph, followed by GCN message passing (ADR-023 Phase 2). Pure
std, no ML dependencies. - SONA adaptation -- LoRA + EWC++ online adaptation for environment drift without catastrophic forgetting (ADR-023 Phase 5).
- Contrastive CSI embeddings -- Self-supervised SimCLR-style pretraining with InfoNCE loss, projection head, fingerprint indexing, and cross-modal pose alignment (ADR-024).
- Sparse inference -- Activation profiling, sparse matrix-vector multiply, INT8/FP16 quantization, and a full sparse inference engine for edge deployment (ADR-023 Phase 6).
- Dataset pipeline -- Training dataset loading and batching.
- Multi-BSSID scanning -- Windows
netshintegration for BSSID discovery viawifi-densepose-wifiscan(ADR-022). - WebSocket broadcast -- Real-time sensing updates pushed to all connected clients at
ws://localhost:8765/ws/sensing. - Static file serving -- Hosts the sensing UI on port 8080 with CORS headers.
Modules
| Module | Description |
|---|---|
vital_signs |
Breathing and heart rate extraction via FFT spectral analysis |
rvf_container |
RVF binary format builder and reader |
rvf_pipeline |
Progressive model loading from RVF containers |
graph_transformer |
Graph Transformer + GCN for CSI-to-pose estimation |
trainer |
Training loop orchestration |
dataset |
Training data loading and batching |
sona |
LoRA adapters and EWC++ continual learning |
sparse_inference |
Neuron profiling, sparse matmul, INT8/FP16 quantization |
embedding |
Contrastive CSI embedding model and fingerprint index |
Quick Start
# Build the server
cargo build -p wifi-densepose-sensing-server
# Run with default settings (HTTP :8080, UDP :5005, WS :8765)
cargo run -p wifi-densepose-sensing-server
# Run with custom ports
cargo run -p wifi-densepose-sensing-server -- \
--http-port 9000 \
--udp-port 5005 \
--static-dir ./ui
Using as a library
use wifi_densepose_sensing_server::vital_signs::VitalSignDetector;
// Create a detector with 20 Hz sample rate
let mut detector = VitalSignDetector::new(20.0);
// Feed CSI amplitude samples
for amplitude in csi_amplitudes.iter() {
detector.push_sample(*amplitude);
}
// Extract vital signs
if let Some(vitals) = detector.detect() {
println!("Breathing: {:.1} BPM", vitals.breathing_rate_bpm);
println!("Heart rate: {:.0} BPM", vitals.heart_rate_bpm);
}
Architecture
ESP32 ──UDP:5005──> [ CSI Receiver ]
|
[ Signal Pipeline ]
(vital_signs, graph_transformer, sona)
|
[ WebSocket Broadcast ]
|
Browser <──WS:8765── [ Axum Server :8080 ] ──> Static UI files
Related Crates
| Crate | Role |
|---|---|
wifi-densepose-wifiscan |
Multi-BSSID WiFi scanning (ADR-022) |
wifi-densepose-core |
Shared types and traits |
wifi-densepose-signal |
CSI signal processing algorithms |
wifi-densepose-hardware |
ESP32 hardware interfaces |
wifi-densepose-wasm |
Browser WASM bindings for the sensing UI |
wifi-densepose-train |
Full training pipeline with ruvector |
wifi-densepose-mat |
Disaster detection module |
License
MIT OR Apache-2.0