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Author SHA1 Message Date
github-actions[bot] 8380046a8a chore: update vendor submodules to latest main 2026-03-13 18:16:16 +00:00
ruv a467dfed9f docs: ADR-061 QEMU ESP32-S3 firmware testing platform (9 layers)
Comprehensive QEMU emulation strategy for ESP32-S3 CSI node firmware:
- Layer 1: Mock CSI generator with 10 test scenarios
- Layer 2: QEMU runner + CI workflow with NVS matrix
- Layer 3: Multi-node mesh simulation (TAP networking)
- Layer 4: GDB remote debugging (zero-cost, no JTAG)
- Layer 5: Code coverage (gcov/lcov)
- Layer 6: Fuzz testing (libFuzzer for CSI parser, NVS, WASM)
- Layer 7: NVS provisioning matrix (14 configs)
- Layer 8: Snapshot & replay (<100ms restore)
- Layer 9: Chaos testing (9 fault injection scenarios)

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-13 09:02:09 -04:00
rUv d793c1f49f feat(firmware): --channel and --filter-mac provisioning (ADR-060)
- provision.py: add --channel (CSI channel override) and --filter-mac
  (AA:BB:CC:DD:EE:FF format) arguments with validation
- nvs_config: add csi_channel, filter_mac[6], filter_mac_set fields;
  read from NVS on boot
- csi_collector: auto-detect AP channel when no NVS override is set;
  filter CSI frames by source MAC when filter_mac is configured
- ADR-060 documents the design and rationale

Fixes #247, fixes #229
2026-03-13 08:27:08 -04:00
ruv 3457610c9f brand: rename DensePose to RuView in pose-fusion UI
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-12 21:55:09 -04:00
ruv e9d5ea3ad3 style: add spacing between tagline and demo links in README
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-12 21:47:31 -04:00
ruv 9cefb32815 fix(demo): add radial gradient background to camera prompt overlay
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-12 21:38:17 -04:00
ruv a7c74e0c57 fix(demo): guard RuVector pipeline stats against undefined values
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-12 21:32:02 -04:00
ruv 98a2b0462c fix(demo): bump import cache busters to v=13 to prevent stale modules
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-12 21:25:46 -04:00
ruv e5e3d42ca2 fix(demo): guard toFixed on undefined rssiDbm and handle Blob WebSocket data
- Add null-safe optional chaining for embPoints and rssiDbm in diagnostic log
- Handle Blob data in _handleLiveFrame (convert to ArrayBuffer before processing)
- Bump cache busters to v=13

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-12 21:16:29 -04:00
rUv 7c1351fd5d feat(demo): wire all 6 RuVector WASM attention mechanisms into pose fusion
* feat: dual-modal WASM browser pose estimation demo (ADR-058)

Live webcam video + WiFi CSI fusion for real-time pose estimation.
Two parallel CNN pipelines (ruvector-cnn-wasm) with attention-weighted
fusion and dynamic confidence gating. Three modes: Dual, Video-only,
CSI-only. Includes pre-built WASM package (~52KB) for browser deployment.

- ADR-058: Dual-modal architecture design
- ui/pose-fusion.html: Main demo page with dark theme UI
- 7 JS modules: video-capture, csi-simulator, cnn-embedder, fusion-engine,
  pose-decoder, canvas-renderer, main orchestrator
- Pre-built ruvector-cnn-wasm WASM package for browser
- CSI heatmap, embedding space visualization, latency metrics
- WebSocket support for live ESP32 CSI data
- Navigation link added to main dashboard

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

* fix: motion-responsive skeleton + through-wall CSI tracking

- Pose decoder now uses per-cell motion grid to track actual arm/head
  positions — raising arms moves the skeleton's arms, head follows
  lateral movement
- Motion grid (10x8 cells) tracks intensity per body zone: head,
  left/right arm upper/mid, legs
- Through-wall mode: when person exits frame, CSI maintains presence
  with slow decay (~10s) and skeleton drifts in exit direction
- CSI simulator persists sensing after video loss, ghost pose renders
  with decreasing confidence
- Reduced temporal smoothing (0.45) for faster response to movement

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

* fix: video fills available space + correct WASM path resolution

- Remove fixed aspect-ratio and max-height from video panel so it
  fills the available viewport space without scrolling
- Grid uses 1fr row for content area, overflow:hidden on main grid
- Fix WASM path: resolve relative to JS module file using import.meta.url
  instead of hardcoded ./pkg/ which resolved incorrectly on gh-pages
- Responsive: mobile still gets aspect-ratio constraint

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

* feat: live ESP32 CSI pipeline + auto-connect WebSocket

- Add auto-connect to local sensing server WebSocket (ws://localhost:8765)
- Demo shows "Live ESP32" when connected to real CSI data
- Add build_firmware.ps1 for native Windows ESP-IDF builds (no Docker)
- Add read_serial.ps1 for ESP32 serial monitor

Pipeline: ESP32 → UDP:5005 → sensing-server → WS:8765 → browser demo

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

* docs: add ADR-059 live ESP32 CSI pipeline + update README with demo links

- ADR-059: Documents end-to-end ESP32 → sensing server → browser pipeline
- README: Add dual-modal pose fusion demo link, update ADR count to 49
- References issue #245

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

* feat: RSSI visualization, RuVector attention WASM, cache-bust fixes

- Add animated RSSI Signal Strength panel with sparkline history
- Fix RuVector WasmMultiHeadAttention retptr calling convention
- Wire up RuVector Multi-Head + Flash Attention in CNN embedder
- Add ambient temporal drift to CSI simulator for visible heatmap animation
- Fix embedding space projection (sparse projection replaces cancelling sum)
- Add auto-scaling to embedding space renderer
- Add cache busters (?v=4) to all ES module imports to prevent stale caches
- Add diagnostic logging for module version verification
- Add RSSI tracking with quality labels and color-coded dBm display
- Includes ruvector-attention-wasm v2.0.5 browser ESM wrapper

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

* feat: 26-keypoint dexterous pose + full RuVector attention pipeline

Pose Decoder (17 → 26 keypoints):
- Add finger approximations: thumb, index, pinky per hand (6 new)
- Add toe tips: left/right foot index (2 new)
- Add neck keypoint (1 new)
- Hand openness driven by arm motion intensity
- Finger positions computed from wrist-elbow axis angles

CNN Embedder (full RuVector WASM pipeline):
- Stage 1: Multi-Head Attention (global spatial reasoning)
- Stage 2: Hyperbolic Attention (hierarchical body-part tree)
- Stage 3: MoE Attention (3 experts: upper/lower/extremities, top-2)
- Blended 40/30/30 weighting → final embedding projection

Canvas Renderer:
- Magenta finger joints with distinct glow
- Cyan toe tips
- White neck keypoint
- Thinner limb lines for hand/foot connections
- Joint count shown in overlay label

CSI Simulator:
- Skip synthetic person state when live ESP32 connected
- Only simulate CSI data in demo mode (was already correct)

Embedding Space:
- Fixed projection: sparse 8-dim projection replaces cancelling sum
- Auto-scaling normalizes point spread to fill canvas

Cache busters bumped to v=5 on all imports.

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

* fix: centroid-based pose tracking for responsive limb movement

Rewrites pose decoder from intensity-based to position-based tracking:
- Arms now track toward motion centroid in each body zone
- Elbow/wrist positions computed along shoulder→centroid vector
- Legs track toward lower-body zone centroids
- Smoothing reduced from 0.45 to 0.25 for responsiveness
- Zone centroids blend 30% old / 70% new each frame

6 body zones with overlapping coverage:
- Head (top 20%, center cols)
- Left/Right Arm (rows 10-60%, outer cols)
- Torso (rows 15-55%, center cols)
- Left/Right Leg (rows 50-100%, half cols each)

Hand openness now driven by arm spread distance + raise amount.
Cache busters v=6.

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

* fix: remove duplicate lAnkleX/rAnkleX declarations in pose-decoder

Stale code block from old intensity-based tracking was left behind,
re-declaring variables already defined by centroid-based tracking.

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

* feat(demo): wire all 6 RuVector WASM attention mechanisms into pose fusion

- Add WasmLinearAttention and WasmLocalGlobalAttention to browser ESM wrapper
- Add 6 WASM utility functions (batch_normalize, pairwise_distances, etc.)
- Extend CnnEmbedder to 6-stage pipeline: Flash → MHA → Hyperbolic → Linear → MoE → L+G
- Use log-energy softmax blending across all 6 stages
- Wire WASM cosine_similarity and normalize into FusionEngine
- Add RuVector pipeline stats panel to UI (energy, refinement, pose impact)
- Compute embedding-to-joint mapping stats without modifying joint positions
- Center camera prompt with flexbox layout
- Add cache busters v=12

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-12 20:59:57 -04:00
12 changed files with 1056 additions and 22 deletions
+1 -1
View File
@@ -87,7 +87,7 @@ docker run -p 3000:3000 ruvnet/wifi-densepose:latest
</a>
<br>
<em>Real-time pose skeleton from WiFi CSI signals — no cameras, no wearables</em>
<br>
<br><br>
<a href="https://ruvnet.github.io/RuView/"><strong>▶ Live Observatory Demo</strong></a>
&nbsp;|&nbsp;
<a href="https://ruvnet.github.io/RuView/pose-fusion.html"><strong>▶ Dual-Modal Pose Fusion Demo</strong></a>
@@ -0,0 +1,59 @@
# ADR-060: Provision Channel Override and MAC Address Filtering
- **Status:** Accepted
- **Date:** 2026-03-12
- **Issues:** [#247](https://github.com/ruvnet/RuView/issues/247), [#229](https://github.com/ruvnet/RuView/issues/229)
## Context
Two related provisioning gaps were reported by users:
1. **Channel mismatch (Issue #247):** The CSI collector initializes on the
Kconfig default channel (typically 6), even when the ESP32 connects to an AP
on a different channel (e.g. 11). On managed networks where the user cannot
change the router channel, this makes nodes undiscoverable. The
`provision.py` script has no `--channel` argument.
2. **Missing MAC filter (Issue #229):** The v0.2.0 release notes documented a
`--filter-mac` argument for `provision.py`, but it was never implemented.
The firmware's CSI callback accepts frames from all sources, causing signal
mixing in multi-AP environments.
## Decision
### Channel configuration
- Add `--channel` argument to `provision.py` that writes a `csi_channel` key
(u8) to NVS.
- In `nvs_config.c`, read the `csi_channel` key and override
`channel_list[0]` when present.
- In `csi_collector_init()`, after WiFi connects, auto-detect the AP channel
via `esp_wifi_sta_get_ap_info()` and use it as the default CSI channel when
no NVS override is set. This ensures the CSI collector always matches the
connected AP's channel without requiring manual provisioning.
### MAC address filtering
- Add `--filter-mac` argument to `provision.py` that writes a `filter_mac`
key (6-byte blob) to NVS.
- In `nvs_config.h`, add a `filter_mac[6]` field and `filter_mac_set` flag.
- In `nvs_config.c`, read the `filter_mac` blob from NVS.
- In the CSI callback (`wifi_csi_callback`), if `filter_mac_set` is true,
compare the source MAC from the received frame against the configured MAC
and drop non-matching frames.
### Provisioning flow
```
python provision.py --port COM7 --channel 11
python provision.py --port COM7 --filter-mac "AA:BB:CC:DD:EE:FF"
python provision.py --port COM7 --channel 11 --filter-mac "AA:BB:CC:DD:EE:FF"
```
## Consequences
- Users on managed networks can force the CSI channel to match their AP
- Multi-AP environments can filter CSI to a single source
- Auto-channel detection eliminates the most common misconfiguration
- Backward compatible: existing provisioned nodes without these keys behave
as before (use Kconfig default channel, accept all MACs)
@@ -0,0 +1,864 @@
# ADR-061: QEMU ESP32-S3 Emulation for Firmware Testing & Development
| Field | Value |
|-------------|------------------------------------------------|
| **Status** | Proposed |
| **Date** | 2026-03-13 |
| **Authors** | RuView Team |
| **Relates** | ADR-018 (binary frame), ADR-039 (edge intel), ADR-040 (WASM), ADR-057 (build guard), ADR-060 (channel/MAC filter) |
## Context
The ESP32-S3 CSI node firmware (`firmware/esp32-csi-node/`) has grown to 16 source files spanning:
| Module | File | Testable in QEMU? |
|--------|------|--------------------|
| NVS config load | `nvs_config.c` | Yes — NVS partition in flash image |
| Edge processing (DSP) | `edge_processing.c` | Yes — all math, no HW dependency |
| ADR-018 frame serialization | `csi_collector.c:csi_serialize_frame()` | Yes — pure buffer ops |
| UDP stream sender | `stream_sender.c` | Yes — QEMU has lwIP via SLIRP |
| WASM runtime | `wasm_runtime.c` | Yes — CPU only |
| OTA update | `ota_update.c` | Partial — needs HTTP mock |
| Power management | `power_mgmt.c` | Partial — no real light-sleep |
| Display (OLED) | `display_*.c` | No — I2C hardware |
| WiFi CSI callback | `csi_collector.c:wifi_csi_callback()` | **No** — requires RF PHY |
| Channel hopping | `csi_collector.c:hop_timer_cb()` | **No** — requires `esp_wifi_set_channel()` |
Currently, **every code change requires flashing to physical hardware** on COM7. This creates a bottleneck:
- Build + flash cycle: ~20 seconds
- Serial monitor: manual inspection
- No automated CI (no ESP32-S3 in GitHub Actions runners)
- Contributors without hardware cannot test firmware changes
Espressif maintains an official QEMU fork (`github.com/espressif/qemu`) with ESP32-S3 machine support, including dual-core Xtensa LX7, flash mapping, UART, GPIO, timers, and FreeRTOS.
## Decision
Introduce a **comprehensive QEMU testing platform** for the ESP32-S3 CSI node firmware with nine capability layers:
1. **Mock CSI generator** — compile-time synthetic CSI frame injection
2. **QEMU runner** — automated build, run, and validation
3. **Multi-node mesh simulation** — TDM and aggregation testing across QEMU instances
4. **GDB remote debugging** — zero-cost breakpoint debugging without JTAG
5. **Code coverage** — gcov/lcov integration for path analysis
6. **Fuzz testing** — malformed input resilience for CSI parser, NVS, WASM
7. **NVS provisioning matrix** — exhaustive config combination testing
8. **Snapshot & replay** — sub-100ms state restore for fast iteration
9. **Chaos testing** — fault injection for resilience validation
---
## Layer 1: Mock CSI Generator
### Architecture
```
┌─────────────────────────────────────────────────────┐
│ ESP32-S3 Firmware │
│ │
│ ┌─────────────┐ ┌──────────────────────────────┐ │
│ │ Real WiFi │ │ Mock CSI Generator │ │
│ │ CSI Callback │ OR │ (timer → synthetic frames) │ │
│ │ (HW only) │ │ (QEMU + unit tests) │ │
│ └──────┬───────┘ └──────────┬───────────────────┘ │
│ │ │ │
│ └───────────┬───────────┘ │
│ ▼ │
│ ┌──────────────────────────────────────────────────┐ │
│ │ edge_enqueue_csi() → SPSC ring → DSP Core 1 │ │
│ │ ├── Biquad bandpass (breathing / heart rate) │ │
│ │ ├── Phase unwrapping + Welford stats │ │
│ │ ├── Top-K subcarrier selection │ │
│ │ ├── Presence detection (adaptive threshold) │ │
│ │ ├── Fall detection (phase acceleration) │ │
│ │ └── Multi-person vitals clustering │ │
│ └──────────────────┬───────────────────────────────┘ │
│ ▼ │
│ ┌──────────────────────────────────────────────────┐ │
│ │ csi_serialize_frame() → ADR-018 binary format │ │
│ │ stream_sender_send() → UDP to aggregator │ │
│ │ edge vitals packet → 0xC5110002 (32 bytes) │ │
│ └──────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────┘
```
### Mock CSI Generator Design
When `CONFIG_CSI_MOCK_ENABLED=y` (Kconfig option), the build replaces `esp_wifi_set_csi_config()` / `esp_wifi_set_csi_rx_cb()` with a periodic timer that injects synthetic CSI frames:
```c
// mock_csi.c — synthetic CSI frame generator
#define MOCK_CSI_INTERVAL_MS 50 // 20 Hz (matches real CSI rate)
#define MOCK_N_SUBCARRIERS 52 // HT20 mode
#define MOCK_IQ_LEN (MOCK_N_SUBCARRIERS * 2) // I + Q bytes
typedef struct {
uint8_t scenario; // 0=empty, 1=person_static, 2=person_walking, 3=fall
uint32_t frame_count;
float person_x; // Simulated position [0..1]
float person_speed; // Movement speed per frame
uint8_t breathing_phase; // Simulated breathing cycle
} mock_state_t;
// Generates realistic CSI I/Q data:
// - Empty room: Gaussian noise + stable phase (low variance)
// - Static person: Phase shift proportional to distance, breathing modulation
// - Walking person: Progressive phase drift + Doppler-like amplitude change
// - Fall event: Sudden phase acceleration spike
void mock_generate_csi_frame(mock_state_t *state, wifi_csi_info_t *out_info);
```
### Signal Model
The synthetic CSI generator models subcarrier amplitude and phase as:
```
A_k(t) = A_base + A_person * exp(-d_k²/σ²) + noise
φ_k(t) = φ_base + (2π * d / λ) + breathing_mod(t) + noise
where:
k = subcarrier index
d_k = simulated distance effect on subcarrier k
A_person = amplitude perturbation from human body (scenario-dependent)
d = simulated person-to-antenna distance
λ = wavelength at subcarrier frequency
breathing_mod(t) = sin(2π * f_breath * t) * amplitude_breath
noise = Gaussian, σ tuned to match real ESP32-S3 CSI noise floor (~-90 dBm)
```
This model exercises:
- Presence detection (amplitude variance exceeds threshold)
- Breathing rate extraction (periodic phase modulation at 0.1-0.5 Hz)
- Fall detection (sudden phase acceleration exceeding `fall_thresh`)
- Multi-person separation (distinct subcarrier groups with different breathing frequencies)
### Scenarios
| ID | Scenario | Duration | Expected Output |
|----|----------|----------|-----------------|
| 0 | Empty room | 10s | `presence=0`, `motion_energy < thresh` |
| 1 | Static person | 10s | `presence=1`, `breathing_rate ∈ [10,25]`, `fall=0` |
| 2 | Walking person | 10s | `presence=1`, `motion_energy > 0.5`, `fall=0` |
| 3 | Fall event | 5s | `fall=1` flag set, `motion_energy` spike |
| 4 | Multi-person | 15s | `n_persons=2`, independent breathing rates |
| 5 | Channel sweep | 5s | Frames on channels 1, 6, 11 in sequence |
| 6 | MAC filter test | 5s | Frames with wrong MAC are dropped (counter check) |
| 7 | Ring buffer overflow | 3s | 1000 frames in 100ms burst, graceful drop |
| 8 | Boundary RSSI | 5s | RSSI sweeps -127 to 0, no crash |
| 9 | Zero-length frame | 2s | `iq_len=0` frames, serialize returns 0 |
---
## Layer 2: QEMU Runner & CI
### QEMU Runner Script
```bash
#!/bin/bash
# scripts/qemu-esp32s3-test.sh
set -euo pipefail
FIRMWARE_DIR="firmware/esp32-csi-node"
BUILD_DIR="$FIRMWARE_DIR/build"
QEMU_BIN="${QEMU_PATH:-qemu-system-xtensa}"
FLASH_IMAGE="$BUILD_DIR/qemu_flash.bin"
LOG_FILE="$BUILD_DIR/qemu_output.log"
TIMEOUT_SEC="${QEMU_TIMEOUT:-60}"
echo "=== QEMU ESP32-S3 Firmware Test ==="
# 1. Build with mock CSI enabled
echo "[1/4] Building firmware (mock CSI mode)..."
idf.py -C "$FIRMWARE_DIR" \
-D SDKCONFIG_DEFAULTS="sdkconfig.defaults;sdkconfig.qemu" \
build
# 2. Merge binaries into single flash image
echo "[2/4] Creating merged flash image..."
esptool.py --chip esp32s3 merge_bin -o "$FLASH_IMAGE" \
--flash_mode dio --flash_freq 80m --flash_size 8MB \
0x0 "$BUILD_DIR/bootloader/bootloader.bin" \
0x8000 "$BUILD_DIR/partition_table/partition-table.bin" \
0xf000 "$BUILD_DIR/ota_data_initial.bin" \
0x20000 "$BUILD_DIR/esp32-csi-node.bin"
# 3. Optionally inject pre-provisioned NVS partition
if [ -f "$BUILD_DIR/nvs_test.bin" ]; then
echo "[2b] Injecting pre-provisioned NVS partition..."
dd if="$BUILD_DIR/nvs_test.bin" of="$FLASH_IMAGE" \
bs=1 seek=$((0x9000)) conv=notrunc
fi
# 4. Run in QEMU with timeout, capture UART output
echo "[3/4] Running QEMU (timeout: ${TIMEOUT_SEC}s)..."
timeout "$TIMEOUT_SEC" "$QEMU_BIN" \
-machine esp32s3 \
-nographic \
-drive file="$FLASH_IMAGE",if=mtd,format=raw \
-serial mon:stdio \
-no-reboot \
2>&1 | tee "$LOG_FILE" || true
# 5. Validate expected output
echo "[4/4] Validating output..."
python3 scripts/validate_qemu_output.py "$LOG_FILE"
```
### QEMU sdkconfig overlay (`sdkconfig.qemu`)
```
# Enable mock CSI generator (disables real WiFi CSI)
CONFIG_CSI_MOCK_ENABLED=y
# Skip WiFi STA connection (no AP in QEMU)
CONFIG_CSI_MOCK_SKIP_WIFI_CONNECT=y
# Run all scenarios sequentially
CONFIG_CSI_MOCK_SCENARIO=255
# Use loopback for UDP (QEMU SLIRP provides 10.0.2.x network)
CONFIG_CSI_TARGET_IP="10.0.2.2"
# Shorter test durations
CONFIG_CSI_MOCK_SCENARIO_DURATION_MS=5000
# Enable verbose logging for validation
CONFIG_LOG_DEFAULT_LEVEL_INFO=y
CONFIG_CSI_MOCK_LOG_FRAMES=y
```
### Output Validation Script
`scripts/validate_qemu_output.py` parses the UART log and checks:
| Check | Pass Criteria | Severity |
|-------|---------------|----------|
| Boot | `app_main()` called, no panic/assert | FATAL |
| NVS load | `nvs_config:` log line present | FATAL |
| Mock CSI init | `mock_csi: Starting mock CSI generator` | FATAL |
| Frame generation | `mock_csi: Generated N frames` where N > 0 | ERROR |
| Edge pipeline | `edge_processing: DSP task started on Core 1` | ERROR |
| Vitals output | At least one `vitals:` log line with valid BPM | ERROR |
| Presence detection | `presence=1` appears during person scenarios | WARN |
| Fall detection | `fall=1` appears during fall scenario | WARN |
| MAC filter | `csi_collector: MAC filter dropped N frames` where N > 0 | WARN |
| ADR-018 serialize | `csi_collector: Serialized N frames` where N > 0 | ERROR |
| No crash | No `Guru Meditation Error`, no `assert failed`, no `abort()` | FATAL |
| Clean exit | Firmware reaches end of scenario sequence | ERROR |
| Heap OK | No `HEAP_ERROR` or `out of memory` | FATAL |
| Stack OK | No `Stack overflow` detected | FATAL |
Exit codes: `0` = all pass, `1` = WARN only, `2` = ERROR, `3` = FATAL
### CI Workflow
```yaml
# .github/workflows/firmware-qemu.yml
name: Firmware QEMU Tests
on:
push:
paths: ['firmware/**']
pull_request:
paths: ['firmware/**']
jobs:
qemu-test:
runs-on: ubuntu-latest
container:
image: espressif/idf:v5.4
strategy:
matrix:
scenario: [default, nvs-full, nvs-edge-tier0, nvs-tdm-3node]
steps:
- uses: actions/checkout@v4
- name: Install Espressif QEMU
run: |
apt-get update && apt-get install -y libslirp-dev libglib2.0-dev ninja-build
git clone --depth 1 https://github.com/espressif/qemu.git /tmp/qemu
cd /tmp/qemu
./configure --target-list=xtensa-softmmu --enable-slirp
make -j$(nproc)
cp build/qemu-system-xtensa /usr/local/bin/
env:
QEMU_PATH: /usr/local/bin/qemu-system-xtensa
- name: Prepare NVS for scenario
run: |
case "${{ matrix.scenario }}" in
nvs-full)
python firmware/esp32-csi-node/provision.py --dry-run \
--port dummy --ssid "TestWiFi" --password "test1234" \
--target-ip "10.0.2.2" --target-port 5005 \
--channel 6 --filter-mac AA:BB:CC:DD:EE:FF \
--node-id 1 --edge-tier 2
cp nvs_provision.bin firmware/esp32-csi-node/build/nvs_test.bin
;;
nvs-edge-tier0)
python firmware/esp32-csi-node/provision.py --dry-run \
--port dummy --edge-tier 0 --node-id 5
cp nvs_provision.bin firmware/esp32-csi-node/build/nvs_test.bin
;;
nvs-tdm-3node)
python firmware/esp32-csi-node/provision.py --dry-run \
--port dummy --tdm-slot 1 --tdm-total 3 --node-id 1
cp nvs_provision.bin firmware/esp32-csi-node/build/nvs_test.bin
;;
esac
- name: Build firmware (mock CSI mode)
run: |
cd firmware/esp32-csi-node
idf.py -D SDKCONFIG_DEFAULTS="sdkconfig.defaults;sdkconfig.qemu" set-target esp32s3
idf.py build
- name: Run QEMU tests
run: bash scripts/qemu-esp32s3-test.sh
env:
QEMU_PATH: /usr/local/bin/qemu-system-xtensa
QEMU_TIMEOUT: 90
- name: Upload QEMU log
if: always()
uses: actions/upload-artifact@v4
with:
name: qemu-output-${{ matrix.scenario }}
path: firmware/esp32-csi-node/build/qemu_output.log
```
---
## Layer 3: Multi-Node Mesh Simulation
Run multiple QEMU instances with TAP networking to test TDM slot coordination and multi-node aggregation.
### Architecture
```
┌──────────┐ ┌──────────┐ ┌──────────┐
│ QEMU #0 │ │ QEMU #1 │ │ QEMU #2 │
│ slot=0 │ │ slot=1 │ │ slot=2 │
│ node_id=0│ │ node_id=1│ │ node_id=2│
└────┬─────┘ └────┬─────┘ └────┬─────┘
│ │ │
└──────────┬───┴──────────────┘
┌───────────────┐
│ TAP bridge │
│ (10.0.0.0/24) │
└───────┬───────┘
┌───────────────┐
│ Rust aggregator│
│ (UDP :5005) │
└───────────────┘
```
### Multi-Node Runner
```bash
#!/bin/bash
# scripts/qemu-mesh-test.sh — run 3 QEMU nodes + Rust aggregator
set -euo pipefail
N_NODES=${1:-3}
AGGREGATOR_PORT=5005
BRIDGE="qemu-br0"
# Create bridge
ip link add "$BRIDGE" type bridge
ip addr add 10.0.0.1/24 dev "$BRIDGE"
ip link set "$BRIDGE" up
# Build flash images with per-node NVS
for i in $(seq 0 $((N_NODES - 1))); do
python firmware/esp32-csi-node/provision.py --dry-run \
--port dummy --node-id "$i" --tdm-slot "$i" --tdm-total "$N_NODES" \
--target-ip 10.0.0.1 --target-port "$AGGREGATOR_PORT"
cp nvs_provision.bin "build/nvs_node${i}.bin"
# Inject NVS into per-node flash image
cp build/qemu_flash.bin "build/qemu_flash_node${i}.bin"
dd if="build/nvs_node${i}.bin" of="build/qemu_flash_node${i}.bin" \
bs=1 seek=$((0x9000)) conv=notrunc
done
# Start Rust aggregator in background
cargo run -p wifi-densepose-hardware --bin aggregator -- \
--listen 0.0.0.0:${AGGREGATOR_PORT} \
--expect-nodes "$N_NODES" \
--output build/mesh_test_results.json &
AGGREGATOR_PID=$!
# Launch QEMU nodes
for i in $(seq 0 $((N_NODES - 1))); do
TAP="tap${i}"
ip tuntap add "$TAP" mode tap
ip link set "$TAP" master "$BRIDGE"
ip link set "$TAP" up
qemu-system-xtensa \
-machine esp32s3 \
-nographic \
-drive file="build/qemu_flash_node${i}.bin",if=mtd,format=raw \
-serial file:"build/qemu_node${i}.log" \
-nic tap,ifname="$TAP",script=no,downscript=no \
-no-reboot &
echo "Started QEMU node $i (PID: $!)"
done
# Wait for test duration
sleep 30
# Validate results
kill $AGGREGATOR_PID 2>/dev/null || true
python3 scripts/validate_mesh_test.py build/mesh_test_results.json --nodes "$N_NODES"
```
### Mesh Validation Checks
| Check | Pass Criteria |
|-------|---------------|
| All nodes booted | N distinct `node_id` values in received frames |
| TDM ordering | Slot 0 frames arrive before slot 1 within each TDM cycle |
| No slot collision | No two frames from different nodes with overlapping timestamps within TDM window |
| Frame count balance | Each node contributes ±10% of total frames |
| ADR-018 compliance | All frames have valid magic `0xC5110001` and correct node IDs |
| Vitals per node | Each node produces independent vitals packets |
---
## Layer 4: GDB Remote Debugging
QEMU provides a built-in GDB stub for zero-cost debugging without JTAG hardware.
### Usage
```bash
# Launch QEMU with GDB stub (paused at boot)
qemu-system-xtensa \
-machine esp32s3 \
-nographic \
-drive file=build/qemu_flash.bin,if=mtd,format=raw \
-serial mon:stdio \
-s -S # -s = GDB on :1234, -S = pause at start
# In another terminal: attach GDB
xtensa-esp-elf-gdb build/esp32-csi-node.elf \
-ex "target remote :1234" \
-ex "b edge_processing.c:dsp_task" \
-ex "b csi_collector.c:wifi_csi_callback" \
-ex "b mock_csi.c:mock_generate_csi_frame" \
-ex "watch g_nvs_config.csi_channel" \
-ex "continue"
```
### Key Breakpoint Locations
| Breakpoint | Purpose |
|-----------|---------|
| `edge_processing.c:dsp_task` | DSP consumer loop entry |
| `edge_processing.c:presence_detect` | Threshold comparison |
| `edge_processing.c:fall_detect` | Phase acceleration check |
| `csi_collector.c:wifi_csi_callback` | Frame ingestion (or mock injection point) |
| `csi_collector.c:csi_serialize_frame` | ADR-018 serialization |
| `nvs_config.c:nvs_config_load` | NVS parse logic |
| `wasm_runtime.c:wasm_on_csi` | WASM module dispatch |
| `mock_csi.c:mock_generate_csi_frame` | Synthetic frame generation |
### VS Code Integration
```json
// .vscode/launch.json
{
"version": "0.2.0",
"configurations": [{
"name": "QEMU ESP32-S3 Debug",
"type": "cppdbg",
"request": "launch",
"program": "${workspaceFolder}/firmware/esp32-csi-node/build/esp32-csi-node.elf",
"miDebuggerPath": "xtensa-esp-elf-gdb",
"miDebuggerServerAddress": "localhost:1234",
"setupCommands": [
{ "text": "set remote hardware-breakpoint-limit 2" },
{ "text": "set remote hardware-watchpoint-limit 2" }
]
}]
}
```
---
## Layer 5: Code Coverage (gcov/lcov)
### Build with Coverage
```
# sdkconfig.coverage (overlay)
CONFIG_COMPILER_OPTIMIZATION_NONE=y
CONFIG_GCOV_ENABLE=y
CONFIG_APPTRACE_GCOV_ENABLE=y
```
### Coverage Collection
```bash
# After QEMU run, extract gcov data from flash dump
esptool.py --chip esp32s3 read_flash 0x300000 0x100000 gcov_data.bin
# Or use ESP-IDF's app_trace + gcov integration:
# QEMU + GDB → "monitor gcov dump" → .gcda files
# Generate HTML report
lcov --capture --directory build --output-file coverage.info
lcov --remove coverage.info '*/esp-idf/*' '*/test/*' --output-file coverage_filtered.info
genhtml coverage_filtered.info --output-directory build/coverage_report
```
### Coverage Targets
| Module | Target | Critical Paths |
|--------|--------|---------------|
| `edge_processing.c` | ≥80% | `dsp_task`, `biquad_filter`, `fall_detect`, `multi_person_cluster` |
| `csi_collector.c` | ≥90% | `csi_serialize_frame`, `wifi_csi_callback`, MAC filter branch |
| `nvs_config.c` | ≥95% | Every NVS key read path, default fallback paths |
| `mock_csi.c` | ≥95% | All scenarios, all signal model branches |
| `stream_sender.c` | ≥80% | Init, send, error paths |
| `wasm_runtime.c` | ≥70% | Module load, dispatch, signature verify |
---
## Layer 6: Fuzz Testing
### Fuzz Targets
| Target | Input | Mutation Strategy | Looking For |
|--------|-------|-------------------|-------------|
| `csi_serialize_frame()` | Random `wifi_csi_info_t` | Extreme `len` (0, 65535), NULL `buf`, negative RSSI, channel 255 | Buffer overflow, NULL deref |
| `nvs_config_load()` | Crafted NVS partition binary | Truncated strings, out-of-range u8/u16, missing keys, corrupt headers | Kconfig fallback, no crash |
| `edge_enqueue_csi()` | Rapid-fire 10,000 frames | Vary `iq_len` (0 to `EDGE_MAX_IQ_BYTES+1`), randomize RSSI | Ring overflow, no data corruption |
| `rvf_parser.c` | Malformed RVF network packets | Bad magic, truncated headers, oversized payloads | Parse rejection, no crash |
| `wasm_upload.c` | Corrupt WASM blobs | Invalid magic, oversized modules, bad Ed25519 signatures, truncated | Rejection without crash, no code execution |
| `csi_serialize_frame()` + `edge_enqueue_csi()` | Chained: generate → serialize → enqueue | End-to-end with random data | Pipeline integrity |
### Implementation Approach
```c
// test/fuzz_csi_serialize.c — runs on host (not ESP32)
// Compiled with: clang -fsanitize=fuzzer,address
#include "csi_collector.h"
int LLVMFuzzerTestOneInput(const uint8_t *data, size_t size) {
if (size < sizeof(wifi_csi_info_t)) return 0;
wifi_csi_info_t info;
memcpy(&info, data, sizeof(info));
// Point buf at remaining fuzz data
size_t remaining = size - sizeof(info);
uint8_t iq_buf[2048];
if (remaining > sizeof(iq_buf)) remaining = sizeof(iq_buf);
memcpy(iq_buf, data + sizeof(info), remaining);
info.buf = iq_buf;
info.len = (int)remaining;
uint8_t out[4096];
csi_serialize_frame(&info, out, sizeof(out));
return 0;
}
```
### Fuzz CI Job
```yaml
fuzz-test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Build fuzz targets
run: |
cd firmware/esp32-csi-node/test
clang -fsanitize=fuzzer,address -I../main \
fuzz_csi_serialize.c ../main/csi_collector.c \
-o fuzz_serialize
- name: Run fuzz (5 min per target)
run: |
cd firmware/esp32-csi-node/test
timeout 300 ./fuzz_serialize corpus/ || true
- name: Upload crashes
if: failure()
uses: actions/upload-artifact@v4
with:
name: fuzz-crashes
path: firmware/esp32-csi-node/test/crash-*
```
---
## Layer 7: NVS Provisioning Matrix
### Config Combinations
| Config | NVS Values | Validates |
|--------|-----------|-----------|
| `default` | (empty NVS) | Kconfig fallback paths |
| `wifi-only` | ssid, password | Basic provisioning |
| `full-adr060` | channel=6, filter_mac=AA:BB:CC:DD:EE:FF | Channel override + MAC filter |
| `edge-tier0` | edge_tier=0 | Raw CSI passthrough (no DSP) |
| `edge-tier1` | edge_tier=1, pres_thresh=100, fall_thresh=2000 | Stats-only mode |
| `edge-tier2-custom` | edge_tier=2, vital_win=128, vital_int=500, subk_count=16 | Full vitals with custom params |
| `tdm-3node` | tdm_slot=1, tdm_nodes=3, node_id=1 | TDM mesh timing |
| `wasm-signed` | wasm_max=4, wasm_verify=1, wasm_pubkey=<32 bytes> | WASM with Ed25519 verification |
| `wasm-unsigned` | wasm_max=2, wasm_verify=0 | WASM without signature check |
| `5ghz-channel` | channel=36, filter_mac=... | 5 GHz CSI collection |
| `boundary-max` | target_port=65535, node_id=255, top_k=32, vital_win=256 | Max-range values |
| `boundary-min` | target_port=1, node_id=0, top_k=1, vital_win=32 | Min-range values |
| `power-save` | power_duty=10, edge_tier=0 | Low-power mode |
| `corrupt-nvs` | (manually crafted partial/corrupt partition) | Graceful fallback to defaults |
### Automated Matrix Generation
```python
# scripts/generate_nvs_matrix.py
# Generates all 14 NVS partition binaries for CI matrix
CONFIGS = [
{"name": "default", "args": []},
{"name": "wifi-only", "args": ["--ssid", "Test", "--password", "test1234"]},
{"name": "full-adr060", "args": ["--channel", "6", "--filter-mac", "AA:BB:CC:DD:EE:FF",
"--ssid", "Test", "--password", "test"]},
{"name": "edge-tier0", "args": ["--edge-tier", "0"]},
# ... all 14 configs
]
```
---
## Layer 8: Snapshot & Replay
### QEMU Snapshot Commands
```bash
# Save snapshot after boot + NVS load (skip 3s boot time)
(qemu) savevm post_boot
# Save after WiFi connect + first CSI frame
(qemu) savevm post_connect
# Save after edge pipeline calibration complete (~60s)
(qemu) savevm post_calibration
# Restore any snapshot (< 100ms)
(qemu) loadvm post_connect
```
### Automated Snapshot Pipeline
```bash
# scripts/qemu-snapshot-test.sh
# Phase 1: Create base snapshots (one-time, cached in CI)
qemu-system-xtensa ... -monitor unix:qemu.sock,server,nowait &
sleep 5
echo "savevm post_boot" | socat - UNIX-CONNECT:qemu.sock
sleep 10
echo "savevm post_first_frame" | socat - UNIX-CONNECT:qemu.sock
# Phase 2: Run quick tests from snapshots (< 1s each)
for test in test_presence test_fall test_multi_person; do
echo "loadvm post_first_frame" | socat - UNIX-CONNECT:qemu.sock
echo "cont" | socat - UNIX-CONNECT:qemu.sock
sleep 2 # Run test scenario
# Validate output
done
```
### Performance Impact
| Operation | Without Snapshots | With Snapshots |
|-----------|-------------------|----------------|
| Full boot + NVS + WiFi mock | ~5 seconds | ~5 seconds (first run) |
| Run single scenario | ~5s boot + ~5s test = 10s | ~0.1s restore + ~5s test = 5.1s |
| Run all 10 scenarios | ~100 seconds | ~51 seconds (49% faster) |
| Run 14 NVS configs × 10 scenarios | ~23 minutes | ~12 minutes (48% faster) |
---
## Layer 9: Chaos Testing
### Fault Injection Table
| Fault | Injection Method | Expected Behavior | Severity |
|-------|-----------------|-------------------|----------|
| WiFi disconnect | Timer kills mock WiFi connection after N frames | Reconnect attempt, CSI pauses and resumes | HIGH |
| Ring buffer overflow | Burst 1000 frames in 100ms | Frame drop counter increments, no crash, no data corruption | HIGH |
| NVS corruption | Flash image with partial-write NVS partition | Falls back to Kconfig defaults, logs warning | MEDIUM |
| Stack overflow | Deep recursion in WASM module callback | Watchdog fires, task restarts, no hang | HIGH |
| Heap exhaustion | `malloc` returns NULL after N allocations | Graceful degradation, logs OOM, continues operation | HIGH |
| Timer starvation | Block DSP task for 500ms | Frames dropped from ring, no deadlock, recovers | MEDIUM |
| UDP send failure | SLIRP network down | `stream_sender_send` returns -1, error counter increments | LOW |
| Corrupt CSI frame | Inject frame with invalid magic in I/Q data | Edge pipeline rejects, increments error counter | LOW |
| NVS write during read | Concurrent NVS open for write while config loads | No corruption, NVS handle isolation | MEDIUM |
### Chaos Runner
```bash
# scripts/qemu-chaos-test.sh
# Run with fault injection enabled
qemu-system-xtensa ... \
-monitor unix:qemu.sock,server,nowait &
# Inject faults via GDB or monitor commands
for fault in wifi_kill heap_exhaust ring_flood; do
echo "[CHAOS] Injecting: $fault"
python3 scripts/inject_fault.py --socket qemu.sock --fault "$fault"
sleep 5
python3 scripts/check_health.py --log "$LOG_FILE" --after-fault "$fault"
done
```
---
## Implementation Plan
| Phase | Layer | Deliverables | Effort | Priority |
|-------|-------|-------------|--------|----------|
| **P1** | L1 + L2 | `mock_csi.c`, `mock_csi.h`, `Kconfig.projbuild`, `sdkconfig.qemu`, `qemu-esp32s3-test.sh`, `validate_qemu_output.py`, `firmware-qemu.yml` | 2 days | Critical |
| **P2** | L4 + L5 | GDB launch config, `sdkconfig.coverage`, lcov integration, coverage CI job | 1 day | High |
| **P3** | L7 | `generate_nvs_matrix.py`, 14 NVS configs, CI matrix expansion | 1 day | High |
| **P4** | L6 | `fuzz_csi_serialize.c`, `fuzz_nvs_config.c`, `fuzz_edge_enqueue.c`, fuzz CI job | 2 days | High |
| **P5** | L3 | `qemu-mesh-test.sh`, TAP bridge setup, `validate_mesh_test.py`, Rust aggregator integration | 3 days | High |
| **P6** | L8 | Snapshot pipeline, cached base images in CI | 0.5 day | Medium |
| **P7** | L9 | `inject_fault.py`, `check_health.py`, `qemu-chaos-test.sh`, 9 fault scenarios | 2 days | Medium |
| **P8** | Performance | Instruction counting, DSP cycle profiling, optimization report | 1 day | Low |
**Total**: ~12.5 days across 8 phases
---
## File Layout
```
firmware/esp32-csi-node/
├── main/
│ ├── mock_csi.c # NEW — synthetic CSI frame generator
│ ├── mock_csi.h # NEW — mock API + scenario definitions
│ ├── Kconfig.projbuild # MODIFIED — CONFIG_CSI_MOCK_* options
│ ├── CMakeLists.txt # MODIFIED — conditional mock_csi.c inclusion
│ └── ... (existing files unchanged)
├── test/
│ ├── fuzz_csi_serialize.c # NEW — libFuzzer target for serialization
│ ├── fuzz_nvs_config.c # NEW — libFuzzer target for NVS parsing
│ ├── fuzz_edge_enqueue.c # NEW — libFuzzer target for ring buffer
│ └── corpus/ # NEW — seed inputs for fuzz targets
├── sdkconfig.qemu # NEW — QEMU-specific sdkconfig overlay
├── sdkconfig.coverage # NEW — gcov-enabled sdkconfig overlay
└── ...
scripts/
├── qemu-esp32s3-test.sh # NEW — single-node QEMU runner
├── qemu-mesh-test.sh # NEW — multi-node mesh runner
├── qemu-chaos-test.sh # NEW — chaos/fault injection runner
├── validate_qemu_output.py # NEW — UART log validation
├── validate_mesh_test.py # NEW — mesh test validation
├── generate_nvs_matrix.py # NEW — NVS config matrix generator
├── inject_fault.py # NEW — QEMU fault injection
└── check_health.py # NEW — post-fault health checker
.vscode/
└── launch.json # MODIFIED — add QEMU GDB debug config
.github/workflows/
└── firmware-qemu.yml # NEW — CI workflow with matrix
```
---
## Consequences
### Benefits
1. **No hardware required** — contributors validate firmware changes with QEMU alone
2. **Automated CI** — every PR touching `firmware/` runs 14 NVS configs × 10 scenarios in parallel
3. **10× faster iteration** — snapshot restore in <100ms vs 20s flash cycle
4. **Security hardening** — fuzz testing catches buffer overflows, NULL derefs, and parser bugs before they reach hardware
5. **Mesh validation** — multi-node TDM tested without 3 physical ESP32s
6. **Coverage visibility** — lcov reports show untested edge processing paths
7. **Resilience proof** — chaos tests verify firmware recovers from WiFi drops, OOM, and ring overflow
8. **GDB debugging** — set breakpoints on DSP pipeline without JTAG adapter
9. **Regression detection** — boot failures, NVS parsing errors, and FreeRTOS deadlocks caught in CI
### Limitations
1. **No real WiFi/CSI** — QEMU cannot emulate the ESP32-S3 WiFi radio or CSI extraction hardware
2. **Synthetic CSI fidelity** — mock frames approximate real CSI patterns but don't capture real-world multipath, interference, or antenna characteristics
3. **Timing differences** — QEMU timing is not cycle-accurate; FreeRTOS tick rates may differ from hardware
4. **No peripheral testing** — I2C display, real GPIO, and light-sleep power management cannot be tested
5. **QEMU build requirement** — Espressif's QEMU fork must be built from source (not in Ubuntu packages)
6. **Coverage overhead** — gcov-enabled builds are ~2× slower in QEMU
### What QEMU Testing Covers vs Requires Hardware
| Test Domain | QEMU | Hardware |
|-------------|------|----------|
| Boot + NVS config (14 configs) | Full | Full |
| Edge DSP pipeline (biquad, Welford, top-K) | Full | Full |
| ADR-018 frame serialization | Full | Full |
| Vitals packet generation (0xC5110002) | Full | Full |
| WASM module loading + execution | Full | Full |
| Multi-node TDM mesh (3+ nodes) | Full (TAP) | Full |
| Fuzz testing (CSI parser, NVS) | Full | N/A |
| Code coverage analysis | Full | Partial |
| GDB breakpoint debugging | Full | Full (JTAG) |
| Chaos/fault injection | Full | Manual |
| OTA update flow | Partial (HTTP mock) | Full |
| Real WiFi connection | No | Full |
| Real CSI data quality | No | Full |
| Channel hopping on RF | No | Full |
| MAC filter on real frames | No | Full |
| Power management (light-sleep) | No | Full |
| Display rendering (OLED) | No | Full |
| UDP over real network | No | Full |
---
## Alternatives Considered
### 1. Host-native unit tests (no QEMU)
Extract pure C functions (`csi_serialize_frame`, edge DSP math) and compile/test on host with CMock/Unity. Simpler but doesn't test FreeRTOS integration, NVS, or boot sequence.
**Verdict**: Complementary — do both. Host unit tests for math, QEMU for integration. Fuzz targets (Layer 6) already use host-native compilation.
### 2. Hardware-in-the-loop CI (real ESP32 on runner)
Use a self-hosted GitHub Actions runner with a physical ESP32-S3 attached.
**Verdict**: Valuable but expensive and fragile. QEMU covers ~85% of test cases (up from 70% with all 9 layers). Add HIL later for real CSI validation only.
### 3. Docker-based ESP-IDF build only (no runtime test)
Just verify the firmware compiles in CI without running it.
**Verdict**: Already possible but insufficient — compilation doesn't catch runtime bugs (stack overflow, NVS parsing errors, FreeRTOS deadlocks).
### 4. Renode emulator
Alternative to QEMU with better peripheral modeling for some platforms.
**Verdict**: Renode has ESP32 support but ESP32-S3 support is less mature than Espressif's own QEMU fork. Revisit if Renode adds full S3 support.
---
## References
- [Espressif QEMU fork](https://github.com/espressif/qemu) — official ESP32/S3/C3/H2 support
- [ESP-IDF QEMU guide](https://docs.espressif.com/projects/esp-idf/en/latest/esp32s3/api-guides/tools/qemu.html)
- [libFuzzer documentation](https://llvm.org/docs/LibFuzzer.html) — LLVM-based coverage-guided fuzzing
- [lcov](https://github.com/linux-test-project/lcov) — Linux test coverage visualization
- ADR-018: Binary CSI frame format (magic `0xC5110001`)
- ADR-039: Edge intelligence pipeline (biquad, vitals, fall detection)
- ADR-040: WASM programmable sensing runtime
- ADR-057: Build-time CSI guard (`CONFIG_ESP_WIFI_CSI_ENABLED`)
- ADR-060: Channel override and MAC address filter
+44 -2
View File
@@ -12,6 +12,7 @@
*/
#include "csi_collector.h"
#include "nvs_config.h"
#include "stream_sender.h"
#include "edge_processing.h"
@@ -21,6 +22,9 @@
#include "esp_timer.h"
#include "sdkconfig.h"
/* ADR-060: Access the global NVS config for MAC filter and channel override. */
extern nvs_config_t g_nvs_config;
/* ADR-057: Build-time guard — fail early if CSI is not enabled in sdkconfig.
* Without this, the firmware compiles but crashes at runtime with:
* "E (xxxx) wifi:CSI not enabled in menuconfig!"
@@ -151,6 +155,14 @@ size_t csi_serialize_frame(const wifi_csi_info_t *info, uint8_t *buf, size_t buf
static void wifi_csi_callback(void *ctx, wifi_csi_info_t *info)
{
(void)ctx;
/* ADR-060: MAC address filtering — drop frames from non-matching sources. */
if (g_nvs_config.filter_mac_set) {
if (memcmp(info->mac, g_nvs_config.filter_mac, 6) != 0) {
return; /* Source MAC doesn't match filter — skip frame. */
}
}
s_cb_count++;
if (s_cb_count <= 3 || (s_cb_count % 100) == 0) {
@@ -203,6 +215,29 @@ static void wifi_promiscuous_cb(void *buf, wifi_promiscuous_pkt_type_t type)
void csi_collector_init(void)
{
/* ADR-060: Determine the CSI channel.
* Priority: 1) NVS override (--channel), 2) connected AP channel, 3) Kconfig default. */
uint8_t csi_channel = (uint8_t)CONFIG_CSI_WIFI_CHANNEL;
if (g_nvs_config.csi_channel > 0) {
/* Explicit NVS override via provision.py --channel */
csi_channel = g_nvs_config.csi_channel;
ESP_LOGI(TAG, "Using NVS channel override: %u", (unsigned)csi_channel);
} else {
/* Auto-detect from connected AP */
wifi_ap_record_t ap_info;
if (esp_wifi_sta_get_ap_info(&ap_info) == ESP_OK && ap_info.primary > 0) {
csi_channel = ap_info.primary;
ESP_LOGI(TAG, "Auto-detected AP channel: %u", (unsigned)csi_channel);
} else {
ESP_LOGW(TAG, "Could not detect AP channel, using Kconfig default: %u",
(unsigned)csi_channel);
}
}
/* Update the hop table's first channel to match. */
s_hop_channels[0] = csi_channel;
/* Enable promiscuous mode — required for reliable CSI callbacks.
* Without this, CSI only fires on frames destined to this station,
* which may be very infrequent on a quiet network. */
@@ -230,8 +265,15 @@ void csi_collector_init(void)
ESP_ERROR_CHECK(esp_wifi_set_csi_rx_cb(wifi_csi_callback, NULL));
ESP_ERROR_CHECK(esp_wifi_set_csi(true));
ESP_LOGI(TAG, "CSI collection initialized (node_id=%d, channel=%d)",
CONFIG_CSI_NODE_ID, CONFIG_CSI_WIFI_CHANNEL);
if (g_nvs_config.filter_mac_set) {
ESP_LOGI(TAG, "MAC filter active: %02x:%02x:%02x:%02x:%02x:%02x",
g_nvs_config.filter_mac[0], g_nvs_config.filter_mac[1],
g_nvs_config.filter_mac[2], g_nvs_config.filter_mac[3],
g_nvs_config.filter_mac[4], g_nvs_config.filter_mac[5]);
}
ESP_LOGI(TAG, "CSI collection initialized (node_id=%d, channel=%u)",
CONFIG_CSI_NODE_ID, (unsigned)csi_channel);
}
/* ---- ADR-029: Channel hopping ---- */
+25
View File
@@ -91,6 +91,11 @@ void nvs_config_load(nvs_config_t *cfg)
cfg->wasm_verify = 0; /* Kconfig disabled signature verification. */
#endif
/* ADR-060: Channel override and MAC filter defaults. */
cfg->csi_channel = 0; /* 0 = auto-detect from connected AP. */
cfg->filter_mac_set = 0;
memset(cfg->filter_mac, 0, 6);
/* Try to override from NVS */
nvs_handle_t handle;
esp_err_t err = nvs_open("csi_cfg", NVS_READONLY, &handle);
@@ -277,6 +282,26 @@ void nvs_config_load(nvs_config_t *cfg)
ESP_LOGW(TAG, "wasm_verify=1 but no wasm_pubkey in NVS — uploads will be rejected");
}
/* ADR-060: CSI channel override. */
uint8_t csi_ch_val;
if (nvs_get_u8(handle, "csi_channel", &csi_ch_val) == ESP_OK) {
if ((csi_ch_val >= 1 && csi_ch_val <= 14) || (csi_ch_val >= 36 && csi_ch_val <= 177)) {
cfg->csi_channel = csi_ch_val;
ESP_LOGI(TAG, "NVS override: csi_channel=%u", (unsigned)cfg->csi_channel);
} else {
ESP_LOGW(TAG, "NVS csi_channel=%u invalid, ignored", (unsigned)csi_ch_val);
}
}
/* ADR-060: MAC address filter (6-byte blob). */
size_t mac_len = 6;
if (nvs_get_blob(handle, "filter_mac", cfg->filter_mac, &mac_len) == ESP_OK && mac_len == 6) {
cfg->filter_mac_set = 1;
ESP_LOGI(TAG, "NVS override: filter_mac=%02x:%02x:%02x:%02x:%02x:%02x",
cfg->filter_mac[0], cfg->filter_mac[1], cfg->filter_mac[2],
cfg->filter_mac[3], cfg->filter_mac[4], cfg->filter_mac[5]);
}
/* Validate tdm_slot_index < tdm_node_count */
if (cfg->tdm_slot_index >= cfg->tdm_node_count) {
ESP_LOGW(TAG, "tdm_slot_index=%u >= tdm_node_count=%u, clamping to 0",
@@ -50,6 +50,11 @@ typedef struct {
uint8_t wasm_verify; /**< Require Ed25519 signature for uploads. */
uint8_t wasm_pubkey[32]; /**< Ed25519 public key for WASM signature. */
uint8_t wasm_pubkey_valid; /**< 1 if pubkey was loaded from NVS. */
/* ADR-060: Channel override and MAC address filtering */
uint8_t csi_channel; /**< Explicit CSI channel override (0 = auto-detect). */
uint8_t filter_mac[6]; /**< MAC address to filter CSI frames. */
uint8_t filter_mac_set; /**< 1 if filter_mac was loaded from NVS. */
} nvs_config_t;
/**
+32
View File
@@ -64,6 +64,13 @@ def build_nvs_csv(args):
writer.writerow(["vital_int", "data", "u16", str(args.vital_int)])
if args.subk_count is not None:
writer.writerow(["subk_count", "data", "u8", str(args.subk_count)])
# ADR-060: Channel override and MAC filter
if args.channel is not None:
writer.writerow(["csi_channel", "data", "u8", str(args.channel)])
if args.filter_mac is not None:
mac_bytes = bytes(int(b, 16) for b in args.filter_mac.split(":"))
# NVS blob: write as hex-encoded string for CSV compatibility
writer.writerow(["filter_mac", "data", "hex2bin", mac_bytes.hex()])
return buf.getvalue()
@@ -165,6 +172,10 @@ def main():
parser.add_argument("--vital-win", type=int, help="Phase history window in frames (default: 300)")
parser.add_argument("--vital-int", type=int, help="Vitals packet interval in ms (default: 1000)")
parser.add_argument("--subk-count", type=int, help="Top-K subcarrier count (default: 32)")
# ADR-060: Channel override and MAC filter
parser.add_argument("--channel", type=int, help="CSI channel (1-14 for 2.4GHz, 36-177 for 5GHz). "
"Overrides auto-detection from connected AP.")
parser.add_argument("--filter-mac", type=str, help="MAC address to filter CSI frames (AA:BB:CC:DD:EE:FF)")
parser.add_argument("--dry-run", action="store_true", help="Generate NVS binary but don't flash")
args = parser.parse_args()
@@ -176,6 +187,7 @@ def main():
args.edge_tier is not None, args.pres_thresh is not None,
args.fall_thresh is not None, args.vital_win is not None,
args.vital_int is not None, args.subk_count is not None,
args.channel is not None, args.filter_mac is not None,
])
if not has_value:
parser.error("At least one config value must be specified")
@@ -186,6 +198,22 @@ def main():
if args.tdm_slot is not None and args.tdm_slot >= args.tdm_total:
parser.error(f"--tdm-slot ({args.tdm_slot}) must be less than --tdm-total ({args.tdm_total})")
# ADR-060: Validate channel and MAC filter
if args.channel is not None:
if not ((1 <= args.channel <= 14) or (36 <= args.channel <= 177)):
parser.error(f"--channel must be 1-14 (2.4GHz) or 36-177 (5GHz), got {args.channel}")
if args.filter_mac is not None:
parts = args.filter_mac.split(":")
if len(parts) != 6:
parser.error(f"--filter-mac must be in AA:BB:CC:DD:EE:FF format, got '{args.filter_mac}'")
try:
for p in parts:
val = int(p, 16)
if val < 0 or val > 255:
raise ValueError
except ValueError:
parser.error(f"--filter-mac contains invalid hex bytes: '{args.filter_mac}'")
print("Building NVS configuration:")
if args.ssid:
print(f" WiFi SSID: {args.ssid}")
@@ -212,6 +240,10 @@ def main():
print(f" Vital Interval:{args.vital_int} ms")
if args.subk_count is not None:
print(f" Top-K Subcarr: {args.subk_count}")
if args.channel is not None:
print(f" CSI Channel: {args.channel}")
if args.filter_mac is not None:
print(f" Filter MAC: {args.filter_mac}")
csv_content = build_nvs_csv(args)
+6 -6
View File
@@ -3,15 +3,15 @@
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>WiFi-DensePose — Dual-Modal Pose Estimation</title>
<link rel="stylesheet" href="pose-fusion/css/style.css?v=12">
<title>RuView — Dual-Modal Pose Estimation</title>
<link rel="stylesheet" href="pose-fusion/css/style.css?v=13">
</head>
<body>
<!-- Header -->
<header class="header">
<div class="header-left">
<div class="logo"><span class="pi">&pi;</span> DensePose</div>
<div class="logo"><span class="pi">&pi;</span> RuView</div>
<div class="header-title">Dual-Modal Pose Estimation — Live Video + WiFi CSI Fusion</div>
</div>
<div class="header-right">
@@ -184,11 +184,11 @@
<!-- Bottom Bar -->
<div class="bottom-bar">
<div>
WiFi-DensePose &middot; Dual-Modal Pose Estimation &middot;
RuView &middot; Dual-Modal Pose Estimation &middot;
Architecture: Conv2D &rarr; RuVector 6-Stage Attention (Flash+MHA+Hyperbolic+Linear+MoE+L/G) &rarr; Fusion &rarr; 26-Keypoint Pose
</div>
<div>
<a href="https://github.com/ruvnet/wifi-densepose">GitHub</a> &middot;
<a href="https://github.com/ruvnet/RuView">GitHub</a> &middot;
CNN: <span id="cnn-backend">ruvector-cnn (loading…)</span> &middot;
<a href="observatory.html">Observatory</a>
</div>
@@ -196,6 +196,6 @@
</div><!-- /main-grid -->
<script type="module" src="pose-fusion/js/main.js?v=12"></script>
<script type="module" src="pose-fusion/js/main.js?v=13"></script>
</body>
</html>
+2 -1
View File
@@ -1,4 +1,4 @@
/* WiFi-DensePose Dual-Modal Pose Fusion Demo
/* RuView Dual-Modal Pose Fusion Demo
Dark theme matching Observatory */
@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;600;700&family=JetBrains+Mono:wght@400;600&display=swap');
@@ -193,6 +193,7 @@ body {
color: var(--text-secondary);
padding: 24px;
z-index: 6;
background: radial-gradient(ellipse at center, rgba(0,210,120,0.08) 0%, rgba(8,12,20,0.95) 70%);
}
.camera-prompt button {
+6
View File
@@ -267,6 +267,12 @@ export class CsiSimulator {
return;
}
// Handle Blob data (convert to ArrayBuffer and re-process)
if (data instanceof Blob) {
data.arrayBuffer().then(ab => this._handleLiveFrame(ab)).catch(() => {});
return;
}
// Handle binary ArrayBuffer frames (ADR-018 format)
if (!(data instanceof ArrayBuffer)) return;
const view = new DataView(data);
+11 -11
View File
@@ -1,15 +1,15 @@
/**
* WiFi-DensePose Dual-Modal Pose Estimation Demo
* RuView Dual-Modal Pose Estimation Demo
*
* Main orchestration: video capture CNN embedding CSI processing fusion rendering
*/
import { VideoCapture } from './video-capture.js?v=11';
import { CsiSimulator } from './csi-simulator.js?v=11';
import { CnnEmbedder } from './cnn-embedder.js?v=11';
import { FusionEngine } from './fusion-engine.js?v=11';
import { PoseDecoder } from './pose-decoder.js?v=11';
import { CanvasRenderer } from './canvas-renderer.js?v=11';
import { VideoCapture } from './video-capture.js?v=13';
import { CsiSimulator } from './csi-simulator.js?v=13';
import { CnnEmbedder } from './cnn-embedder.js?v=13';
import { FusionEngine } from './fusion-engine.js?v=13';
import { PoseDecoder } from './pose-decoder.js?v=13';
import { CanvasRenderer } from './canvas-renderer.js?v=13';
// === State ===
let mode = 'dual'; // 'dual' | 'video' | 'csi'
@@ -344,10 +344,10 @@ function mainLoop(timestamp) {
const rvEnergyEl = document.getElementById('rv-energy');
const rvRefineEl = document.getElementById('rv-refine');
const rvImpactEl = document.getElementById('rv-impact');
if (rvEnergyEl) rvEnergyEl.textContent = rvStats.energy.toFixed(2);
if (rvRefineEl) rvRefineEl.textContent = (rvStats.refinementMag * 1000).toFixed(1) + 'px';
if (rvEnergyEl) rvEnergyEl.textContent = (rvStats.energy || 0).toFixed(2);
if (rvRefineEl) rvRefineEl.textContent = ((rvStats.refinementMag || 0) * 1000).toFixed(1) + 'px';
if (rvImpactEl) {
const impact = Math.min(100, rvStats.refinementMag * 5000);
const impact = Math.min(100, (rvStats.refinementMag || 0) * 5000);
rvImpactEl.textContent = impact.toFixed(0) + '%';
}
// Pulse the pipeline stages when active
@@ -361,7 +361,7 @@ function mainLoop(timestamp) {
// One-time diagnostic
if (!_diagDone) {
_diagDone = true;
console.log(`[PoseFusion] frame 1 OK — mode=${mode}, csi.bufLen=${csiSimulator.amplitudeBuffer.length}, embPts=${embPoints.fused.length}, rssi=${csiSimulator.rssiDbm.toFixed(1)}`);
console.log(`[PoseFusion] frame 1 OK — mode=${mode}, csi.bufLen=${csiSimulator.amplitudeBuffer.length}, embPts=${embPoints?.fused?.length ?? 0}, rssi=${(csiSimulator.rssiDbm ?? -99).toFixed(1)}`);
}
} catch (err) {