| name | ruview-configure |
| description | 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. |
| allowed-tools | 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 \
--node-id 1 \
--channel 6 --filter-mac AA:BB:CC:DD:EE:FF
| 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
cargo run -p wifi-densepose-sensing-server
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
node scripts/snn-csi-processor.js --port 5006
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 fixesexample.env, Makefile, firmware/esp32-csi-node/
