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wifi-densepose/plugins/ruview/skills/ruview-configure/SKILL.md

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name description allowed-tools
ruview-configure Configure RuView — ESP32 sdkconfig variants, NVS provisioning, WiFi channel / MAC filter overrides (ADR-060), edge intelligence modules (ADR-041), sensing-server flags, multi-node mesh, and Cognitum Seed integration. Use when adjusting how a deployed RuView system behaves without changing code. Bash Read Write Edit Glob Grep

RuView Configuration

Everything you can tune in a RuView deployment, from a one-line provision flag to a full mesh + Cognitum Seed setup.

1. Firmware build-time config (sdkconfig)

Variant File When
8MB (default) firmware/esp32-csi-node/sdkconfig.defaults.template ESP32-S3 8MB, full feature set, real WiFi CSI
4MB firmware/esp32-csi-node/sdkconfig.defaults.4mb ESP32-S3 SuperMini 4MB — display disabled, dual OTA slots (partitions_4mb.csv, ~1.856 MB each)
Heltec N16R2 firmware/esp32-csi-node/sdkconfig.defaults.heltec_n16r2 Heltec boards

Switch: cp firmware/esp32-csi-node/sdkconfig.defaults.<variant> firmware/esp32-csi-node/sdkconfig.defaults, then rebuild (see ruview-hardware-setup). Never test in mock mode — the Kconfig fall-threshold bug only showed up with real CSI.

2. Runtime device config (NVS via provision.py)

provision.py writes the csi_cfg NVS namespace over the serial port. Run python firmware/esp32-csi-node/provision.py --help for the authoritative flag list (on Windows force PYTHONUTF8=1 PYTHONIOENCODING=utf-8 — the help text contains non-ASCII and crashes under cp1252).

python firmware/esp32-csi-node/provision.py --port COM8 \
  --ssid "WiFi" --password "secret" \
  --target-ip 192.168.1.20 --target-port 5005 \   # aggregator UDP sink (port default 5005)
  --node-id 1 \                                   # 0-255
  --channel 6 --filter-mac AA:BB:CC:DD:EE:FF       # ADR-060: pin channel + filter transmitter
Flag group Flags Notes
WiFi / sink --ssid --password --target-ip --target-port (5005) --node-id --node-id 0-255
TDM mesh --tdm-slot --tdm-total 0-based slot index + total node count — this is how multi-node mesh is slotted
Edge processing --edge-tier {0,1,2} 0=off, 1=stats, 2=vitals (ADR-041)
Detection thresholds --pres-thresh (50) --fall-thresh (15000 → 15.0 rad/s²) raise --fall-thresh to cut false falls in high-traffic areas (issue #263)
Vitals --vital-win (300 frames) --vital-int (1000 ms) --subk-count (32, top-K subcarriers)
Channel / hopping --channel (1-14 / 36-177, overrides AP auto-detect) --filter-mac --hop-channels (1,6,11) --hop-dwell (200 ms) omit --channel + set --hop-channels for ADR-061 multi-freq hopping; omit --filter-mac to capture all transmitters
Cognitum Seed --seed-url (http://10.1.10.236) --seed-token (Bearer, from pairing) --zone (lobby)
Swarm --swarm-hb (30 s) --swarm-ingest (5 s) heartbeat + vector ingest intervals
Mode --dry-run (build NVS bin, don't flash) --baud (460800) --force-partial

⚠️ NVS namespace is replaced wholesale (issue #391). Flashing rewrites the entire csi_cfg namespace — any key you don't pass on the CLI is erased. Always pass the full set you want, or use --force-partial knowingly. Read the device's current values off the serial boot log first (adaptive_ctrl / csi_collector lines) if you're unsure.

  • NVS partition images for fleet provisioning: scripts/generate_nvs_matrix.py (subprocess-first — the esp_idf_nvs_partition_gen API changed across versions).

3. Sensing server flags

cd v2
cargo run -p wifi-densepose-sensing-server -- --help

# Common modes:
cargo run -p wifi-densepose-sensing-server                                  # live sink, default port
cargo run -p wifi-densepose-sensing-server -- --pretrain --dataset data/csi/ --pretrain-epochs 50
cargo run -p wifi-densepose-sensing-server -- --train --dataset data/mmfi/ --epochs 100 --save-rvf model.rvf
cargo run -p wifi-densepose-sensing-server -- --model model.rvf --embed
cargo run -p wifi-densepose-sensing-server -- --model model.rvf --build-index env

wifiscan server (multi-BSSID, ADR-022): cargo run -p wifi-densepose-sensing-server consumes wifi-densepose-wifiscan output; use neighbour APs as free radar illuminators.

4. Edge intelligence modules (ADR-041)

Small Rust/WASM programs that run on the ESP32 itself — no internet, instant response. See docs/edge-modules/ and docs/adr/ADR-041-*. Each module declares its CSI feature inputs (8-dim feature vectors) and an RVF store target (Cognitum Seed). Configure which modules ship in a build via the firmware component config; configure their thresholds via NVS keys.

Helper scripts that mirror edge-module logic on the host (useful for tuning before flashing): scripts/apnea-detector.js, gait-analyzer.js, material-classifier.js, passive-radar.js, mincut-person-counter.js, device-fingerprint.js, mesh-graph-transformer.js, material-detector.js.

5. Multi-node mesh

  • 2+ nodes give real spatial resolution. Each node provisioned to the same --target-ip sink.
  • TDM protocol + channel hopping coordinated by wifi-densepose-hardware (v2/crates/wifi-densepose-hardware/src/esp32/).
  • Cross-viewpoint fusion combines nodes — see ruview-advanced-sensing.

6. Cognitum Seed integration ($140 total BOM)

ESP32 streams CSI → bridge forwards to a Cognitum Seed for persistent RVF memory, kNN over environments, and an Ed25519 witness chain.

node scripts/rf-scan.js --port 5006              # live RF room scan → Seed
node scripts/snn-csi-processor.js --port 5006    # SNN real-time learning on-Seed

See docs/tutorials/cognitum-seed-pretraining.md and ADR-028 (capability audit + witness verification).

7. App-level config

  • API: wifi-densepose-api (Axum) — config via wifi-densepose-config crate; see example.env / pyproject.toml for the v1 Python service.
  • Docker: docker run -p 3000:3000 ruvnet/wifi-densepose:latest (env-var overrides documented in README.md / docker/).
  • Dashboard: served on :3000; nvsim dashboard (ADR-092) is separate.

Reference

  • docs/adr/ (96 ADRs) — esp. ADR-022 (wifiscan), ADR-028 (capability audit), ADR-041 (edge modules), ADR-060 (channel/MAC override), ADR-061 (QEMU + mesh), ADR-081 (adaptive CSI mesh kernel)
  • CLAUDE.md / CLAUDE.local.md — crate map, build env, QEMU CI fixes
  • example.env, Makefile, firmware/esp32-csi-node/