mirror of
https://github.com/ruvnet/RuView
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c84ea39e62d14dcafe61fc80d357dfe0349462cd
10 Commits
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00a234eda8 |
ADR-110: ESP32-C6 firmware extension (#764)
Closes the firmware-side ADR-110 design at v0.7.0-esp32 after a 38-iter /loop SOTA sprint. Headline (bench, COM9+COM12 ESP32-C6): - 99.56% cross-board RX, 104.1 µs smoothed offset stdev (≤100 µs §2.4 target met) - 3.95× EMA suppression, 1.4 ppm crystal skew preserved 4 firmware releases: v0.6.7 / v0.6.8 / v0.6.9 / v0.7.0-esp32. 42 ADR-110 unit tests, 1761 v2 workspace tests, full Firmware CI + QEMU green. |
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cee414f3c0 |
firmware/esp32-csi-node: IDF 6 build, HE CSI config, unicore DSP, provision chip detect (#522)
* firmware/esp32-csi-node: fix IDF 6 build (PSA SHA-256, explicit REQUIRES) - rvf_parser: use psa_hash_* / psa_hash_compute; mbedTLS 4 has no public mbedtls/sha256.h on the IDF include path. - main/CMakeLists: declare REQUIRES for WiFi, netif, HTTP, OTA, drivers, lwip, mbedtls per ESP-IDF v6 component dependency checks; optional wasm3 when CONFIG_WASM_ENABLE. Signed-off-by: Chaitanya Tata <chaitanya@dotstarconsulting.com> Co-authored-by: Cursor <cursoragent@cursor.com> * firmware/esp32-csi-node: fix CSI config for Wi-Fi 6 (ESP32-C6) When CONFIG_SOC_WIFI_HE_SUPPORT is set, wifi_csi_config_t is the wifi_csi_acquire_config_t bitfield layout. The legacy bool fields (lltf_en, htltf_en, ...) only apply to ESP32-S3-class targets. Initialize acquire fields for HE targets; add MAC v3-only members when CONFIG_SOC_WIFI_MAC_VERSION_NUM >= 3. Verified: idf.py build for esp32c6 and esp32s3 (ESP-IDF v6.1). Signed-off-by: Chaitanya Tata <chaitanya@dotstarconsulting.com> Co-authored-by: Cursor <cursoragent@cursor.com> * firmware/esp32-csi-node: pin edge DSP task for unicore (ESP32-C6) edge_processing_init used xTaskCreatePinnedToCore(..., core 1). ESP32-C6 runs FreeRTOS unicore (portNUM_PROCESSORS == 1), so core 1 trips the xTaskCreatePinnedToCore range assert right after CSI init. Use core 1 only when SMP is available; otherwise pin to core 0. Signed-off-by: Chaitanya Tata <chaitanya@dotstarconsulting.com> Co-authored-by: Cursor <cursoragent@cursor.com> * firmware/esp32-csi-node: provision NVS with chip auto-detect provision.py always passed --chip esp32s3 to esptool, so flashing NVS on ESP32-C6 failed. Default --chip to auto (esptool v5) and add an explicit --chip override. Use write-flash instead of deprecated write_flash. Signed-off-by: Chaitanya Tata <chaitanya@dotstarconsulting.com> Co-authored-by: Cursor <cursoragent@cursor.com> --------- Signed-off-by: Chaitanya Tata <chaitanya@dotstarconsulting.com> Co-authored-by: Cursor <cursoragent@cursor.com> |
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5a7f431b0e |
ADR-081: Implement 5-layer adaptive CSI mesh firmware kernel (#404)
* ADR-081: adaptive CSI mesh firmware kernel + scaffolding
Introduces a 5-layer firmware kernel that reframes the existing ESP32
modules as components of a chipset-agnostic architecture and authorizes
adaptive control + a compact feature-state stream as the default upstream.
Layers:
L1 Radio Abstraction Layer — rv_radio_ops_t vtable + ESP32 binding
L2 Adaptive Controller — fast/medium/slow loops (200ms/1s/30s)
L3 Mesh Sensing Plane — anchor/observer/relay/coordinator (spec)
L4 On-device Feature Extr. — rv_feature_state_t (magic 0xC5110006)
L5 Rust handoff — feature_state default; debug raw gated
Files:
docs/adr/ADR-081-adaptive-csi-mesh-firmware-kernel.md (new)
firmware/esp32-csi-node/main/rv_radio_ops.h (new)
firmware/esp32-csi-node/main/rv_radio_ops_esp32.c (new)
firmware/esp32-csi-node/main/rv_feature_state.{h,c} (new)
firmware/esp32-csi-node/main/adaptive_controller.{h,c} (new)
firmware/esp32-csi-node/main/main.c (wire L1+L2)
firmware/esp32-csi-node/main/CMakeLists.txt (add 4 sources)
firmware/esp32-csi-node/main/Kconfig.projbuild (controller knobs)
CHANGELOG.md (Unreleased)
Default policy is conservative: enable_channel_switch and
enable_role_change are off, so behavior matches today's firmware
unless an operator opts in via menuconfig. The pure
adaptive_controller_decide() is exposed for offline unit tests.
Reuses (does not rewrite): csi_collector, edge_processing (ADR-039),
swarm_bridge (ADR-066), secure_tdm (ADR-032), wasm_runtime (ADR-040).
* ADR-081: implement Layers 1/2/4 end-to-end + host tests + QEMU hooks
Turns the ADR-081 scaffolding into a working adaptive CSI mesh kernel:
Layer 1 radio abstraction has an ESP32 binding and a mock binding; Layer 2
adaptive controller runs on FreeRTOS timers; Layer 4 feature-state packet
is emitted at 5 Hz by default, replacing raw ADR-018 CSI as the default
upstream.
New files:
firmware/esp32-csi-node/main/adaptive_controller_decide.c (pure policy)
firmware/esp32-csi-node/main/rv_radio_ops_mock.c (QEMU binding)
firmware/esp32-csi-node/tests/host/Makefile (host tests)
firmware/esp32-csi-node/tests/host/test_adaptive_controller.c
firmware/esp32-csi-node/tests/host/test_rv_feature_state.c
firmware/esp32-csi-node/tests/host/esp_err.h (shim)
firmware/esp32-csi-node/tests/host/.gitignore
Modified:
adaptive_controller.c — includes pure decide.c; emit_feature_state()
wired into fast loop (200 ms = 5 Hz)
rv_radio_ops_esp32.c — get_health() fills pkt_yield + send_fail
csi_collector.{c,h} — pkt_yield/send_fail accessors (ADR-081 L1)
rv_feature_state.h — packed size corrected to 60 bytes
(was incorrectly 80 in initial commit)
main.c — mock binding registered under mock CSI
CMakeLists.txt — rv_radio_ops_mock.c under CSI_MOCK_ENABLED
scripts/validate_qemu_output.py — 3 new ADR-081 checks (17/18/19)
docs/adr/ADR-081-*.md — status → Accepted (partial);
implementation-status matrix; measured
benchmarks (decide 3.2 ns, CRC32 614 ns);
bandwidth 300 B/s @ 5 Hz (99.7% vs raw);
verification section
CHANGELOG.md — artifact-level entries
Tests (host, gcc -O2 -std=c11):
test_adaptive_controller: 18/18 pass, decide() = 3.2 ns/call
test_rv_feature_state: 15/15 pass, CRC32(56 B) = 614 ns/pkt, 87 MB/s
sizeof(rv_feature_state_t) == 60 asserted
IEEE CRC32 known vectors verified
Deferred (tracked in ADR-081 roadmap Phase 3/4):
Layer 3 mesh-plane message types, role-assignment FSM, Rust-side mirror
trait in crates/wifi-densepose-hardware/src/radio_ops.rs.
* ADR-081: Layer 3 mesh plane + Rust mirror trait — all 5 layers landed
Fully implements the remaining deferred pieces of the adaptive CSI mesh
firmware kernel. All 5 layers (Radio Abstraction, Adaptive Controller,
Mesh Sensing Plane, On-device Feature Extraction, Rust handoff) are
now implemented and host-tested end-to-end.
Layer 3 — Mesh Sensing Plane (firmware/esp32-csi-node/main/rv_mesh.{h,c}):
* 4 node roles: Unassigned / Anchor / Observer / FusionRelay / Coordinator
* 7 message types: TIME_SYNC, ROLE_ASSIGN, CHANNEL_PLAN,
CALIBRATION_START, FEATURE_DELTA, HEALTH, ANOMALY_ALERT
* 3 auth classes: None / HMAC-SHA256-session / Ed25519-batch
* Payload types: rv_node_status_t (28 B), rv_anomaly_alert_t (28 B),
rv_time_sync_t (16 B), rv_role_assign_t (16 B),
rv_channel_plan_t (24 B), rv_calibration_start_t (20 B)
* 16-byte envelope + payload + IEEE CRC32 trailer
* Pure rv_mesh_encode()/rv_mesh_decode() plus typed convenience encoders
* rv_mesh_send_health() + rv_mesh_send_anomaly() helpers
Controller wiring (adaptive_controller.c):
* Slow loop (30 s default) now emits HEALTH
* apply_decision() emits ANOMALY_ALERT on transitions to ALERT /
DEGRADED
* Role + mesh epoch tracked in module state; epoch bumps on role
change
Layer 5 — Rust mirror (crates/wifi-densepose-hardware/src/radio_ops.rs):
* RadioOps trait mirrors rv_radio_ops_t vtable
* MockRadio backend for offline tests
* MeshHeader / NodeStatus / AnomalyAlert types mirror rv_mesh.h
* Byte-identical IEEE CRC32 (poly 0xEDB88320) verified against
firmware test vectors (0xCBF43926 for "123456789")
* decode_mesh / decode_node_status / decode_anomaly_alert / encode_health
* 8 unit tests, including mesh_constants_match_firmware which asserts
MESH_MAGIC/VERSION/HEADER_SIZE/MAX_PAYLOAD match rv_mesh.h
byte-for-byte
* Exported from lib.rs
* signal/ruvector/train/mat crates untouched — satisfies ADR-081
portability acceptance test
Tests (all passing):
test_adaptive_controller: 18/18 (C, decide() 3.2 ns/call)
test_rv_feature_state: 15/15 (C, CRC32 87 MB/s)
test_rv_mesh: 27/27 (C, roundtrip 1.0 µs)
radio_ops::tests (Rust): 8/8
--- total: 68/68 assertions green ---
Docs:
* ADR-081 status flipped to Accepted
* Implementation-status matrix updated; L3 + Rust mirror both
marked Implemented
* Benchmarks table extended with rv_mesh encode+decode roundtrip
* Verification section updated with cargo test invocation
* CHANGELOG: two new entries for L3 mesh plane + Rust mirror
Remaining follow-ups (Phase 3.5 polish, not blocking):
* Mesh RX path (UDP listener + dispatch) on the firmware
* Ed25519 signing for CHANNEL_PLAN / CALIBRATION_START
* Hardware validation on COM7
* Add test_rv_mesh to host-test .gitignore
Fixes an untracked-file warning from the repo stop-hook: the compiled
binary was built by make but the .gitignore update was missed in
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2b8a7cc458 |
feat: happiness scoring pipeline + ESP32 swarm with Cognitum Seed (#285)
* feat: happiness scoring pipeline with ESP32 swarm + Cognitum Seed coordinator ADR-065: Hotel guest happiness scoring from WiFi CSI physiological proxies. ADR-066: ESP32 swarm with Cognitum Seed as coordinator for multi-zone analytics. Firmware: - swarm_bridge.c/h: FreeRTOS task on Core 0, HTTP client with Bearer auth, registers with Seed, sends heartbeats (30s) and happiness vectors (5s) - nvs_config: seed_url, seed_token, zone_name, swarm intervals - provision.py: --seed-url, --seed-token, --zone CLI args - esp32-hello-world: capability discovery firmware for 4MB ESP32-S3 variant WASM edge modules: - exo_happiness_score.rs: 8-dim happiness vector from gait speed, stride regularity, movement fluidity, breathing calm, posture, dwell time (events 690-694, 11 tests, ESP32-optimized buffers + event decimation) - ghost_hunter.rs standalone binary: 5.7 KB WASM, feature-gated default pipeline RuView Live: - --mode happiness dashboard with bar visualization - --seed flag for Cognitum Seed bridge (urllib, background POST) - HappinessScorer + SeedBridge classes (stdlib only, no deps) Examples: - seed_query.py: CLI tool (status, search, witness, monitor, report) - provision_swarm.sh: batch provisioning for multi-node deployment - happiness_vector_schema.json: 8-dim vector format documentation Verified live: ESP32 on COM5 (4MB flash) registered with Seed at 10.1.10.236, vectors flowing, witness chain growing (epoch 455, chain 1108). Co-Authored-By: claude-flow <ruv@ruv.net> * ci: raise firmware binary size gate to 1100 KB for HTTP client stack The swarm bridge (ADR-066) adds esp_http_client for Seed communication, which pulls in the HTTP/TLS stack (~150 KB). Binary grew from ~978 KB to ~1077 KB. Raise the gate from 950 KB to 1100 KB. Still fits comfortably in both 4MB (1856 KB OTA slot, 43% free) and 8MB flash variants. Co-Authored-By: claude-flow <ruv@ruv.net> |
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66e2fa0835 |
feat: ADR-063/064 mmWave sensor fusion + multimodal ambient intelligence (#269)
* docs: ADR-063 mmWave sensor fusion with WiFi CSI 60 GHz mmWave radar (Seeed MR60BHA2, HLK-LD2410/LD2450) fusion with WiFi CSI for dual-confirm fall detection, clinical-grade vitals, and self-calibrating CSI pipeline. Covers auto-detection, 6 supported sensors, Kalman fusion, extended 48-byte vitals packet, RuVector/RuvSense integration points, and 6-phase implementation plan. Based on live hardware capture from ESP32-C6 + MR60BHA2 on COM4. Co-Authored-By: claude-flow <ruv@ruv.net> * feat(firmware): ADR-063 mmWave sensor fusion — full implementation Phase 1-2 of ADR-063: mmwave_sensor.c/h: - MR60BHA2 UART parser (60 GHz: HR, BR, presence, distance) - LD2410 UART parser (24 GHz: presence, distance) - Auto-detection: probes UART for known frame headers at boot - Mock generator for QEMU testing (synthetic HR 72±2, BR 16±1) - Capability flag registration per sensor type edge_processing.c/h: - 48-byte fused vitals packet (magic 0xC5110004) - Kalman-style fusion: mmWave 80% + CSI 20% when both available - Automatic fallback to CSI-only 32-byte packet when no mmWave - Dual presence flag (Bit3 = mmwave_present) main.c: - mmwave_sensor_init() called at boot with auto-detect - Status logged in startup banner Fuzz stubs updated for mmwave_sensor API. Build verified: QEMU mock build passes. Co-Authored-By: claude-flow <ruv@ruv.net> * fix(firmware): correct MR60BHA2 + LD2410 UART protocols (ADR-063) MR60BHA2: SOF=0x01 (not 0x5359), XOR+NOT checksums on header and data, frame types 0x0A14 (BR), 0x0A15 (HR), 0x0A16 (distance), 0x0F09 (presence). Based on Seeed Arduino library research. LD2410: 256000 baud (not 115200), 0xAA report head marker, target state byte at offset 2 (after data_type + head_marker). Auto-detect: probes MR60 at 115200 first, then LD2410 at 256000. Sets final baud rate after detection. Co-Authored-By: claude-flow <ruv@ruv.net> * feat: ADR-063 Phase 6 server-side mmWave + CSI fusion bridge Python script reads both serial ports simultaneously: - COM4 (ESP32-C6 + MR60BHA2): parses ESPHome debug output for HR, BR, presence, distance - COM7 (ESP32-S3): reads CSI edge processing frames Kalman-style fusion: mmWave 80% + CSI 20% for vitals, OR gate for presence. Verified on real hardware: mmWave HR=75bpm, BR=25/min at 52cm range, CSI frames flowing concurrently. Both sensors live for 30 seconds. Co-Authored-By: claude-flow <ruv@ruv.net> * docs: ADR-064 multimodal ambient intelligence roadmap 25+ applications across 4 tiers from practical to exotic: - Tier 1 (build now): zero-FP fall detection, sleep monitoring, occupancy HVAC, baby breathing, bathroom safety - Tier 2 (research): gait analysis, stress detection, gesture control, respiratory screening, multi-room activity - Tier 3 (frontier): cardiac arrhythmia, RF tomography, sign language, cognitive load, swarm sensing - Tier 4 (exotic): emotion contagion, lucid dreaming, plant monitoring, pet behavior Priority matrix with effort estimates. All P0-P1 items work with existing hardware (ESP32-S3 + MR60BHA2 + BH1750). Co-Authored-By: claude-flow <ruv@ruv.net> * fix(ci): add ESP_ERR_NOT_FOUND to fuzz stubs mmwave_sensor stub returns ESP_ERR_NOT_FOUND which wasn't defined in the minimal esp_stubs.h for host-based fuzz testing. Co-Authored-By: claude-flow <ruv@ruv.net> |
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523be943b0 |
feat: QEMU ESP32-S3 testing platform + swarm configurator (ADR-061/062) (#260)
9-layer QEMU testing platform (ADR-061) and YAML-driven swarm configurator (ADR-062) for ESP32-S3 firmware testing without hardware. 12 commits, 56 files, +9,500 lines. Tested on Windows with Espressif QEMU 9.0.0 — firmware boots, mock CSI generates frames, 14/16 validation checks pass. 39 bugs found and fixed across 2 deep code reviews. Closes #259 Co-Authored-By: claude-flow <ruv@ruv.net> |
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8b57a6f64c |
docs: update README with ADR-045–048, Observatory, adaptive classifier, AMOLED display
- Update ADR count from 44 to 48 - Add adaptive classifier (ADR-048) to Intelligence features - Add Observatory visualization (ADR-047) and AMOLED display (ADR-045) to Deployment features - Update screenshot to v2-screen.png - Add ADR-045 (AMOLED), ADR-046 (Android TV), ADR-047 (Observatory), DDD deployment model - Add AMOLED display firmware (display_hal, display_task, display_ui, LVGL config) - Add Observatory UI (13 Three.js modules, CSS, HTML entry point) - Add trained adaptive model JSON - Update .gitignore for managed_components, recordings, .swarm Co-Authored-By: claude-flow <ruv@ruv.net> |
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4b1005524e |
feat: complete vendor repos, add edge intelligence and WASM modules
- Add 154 missing vendor files (gitignore was filtering them) - vendor/midstream: 564 files (was 561) - vendor/sublinear-time-solver: 1190 files (was 1039) - Add ESP32 edge processing (ADR-039): presence, vitals, fall detection - Add WASM programmable sensing (ADR-040/041) with wasm3 runtime - Add firmware CI workflow (.github/workflows/firmware-ci.yml) - Add wifi-densepose-wasm-edge crate for edge WASM modules - Update sensing server, provision.py, UI components Co-Authored-By: claude-flow <ruv@ruv.net> |
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7872987ee6 |
fix(docker): Update Dockerfile paths from src/ to v1/src/
The source code was moved to v1/src/ but the Dockerfile still referenced src/ directly, causing build failures. Updated all COPY paths, uvicorn module paths, test paths, and bandit scan paths. Also added missing v1/__init__.py for Python module resolution. Fixes #33 Co-Authored-By: claude-flow <ruv@ruv.net> |
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92a5182dc3 |
feat(adr-018): ESP32-S3 firmware, Rust aggregator, and live CSI pipeline
Complete end-to-end WiFi CSI capture pipeline verified on real hardware: - ESP32-S3 firmware: WiFi STA + promiscuous mode CSI collection, ADR-018 binary serialization, UDP streaming at ~20 Hz - Rust aggregator CLI binary (clap): receives UDP frames, parses with Esp32CsiParser, prints per-frame summary (node, seq, rssi, amp) - UDP aggregator module with per-node sequence tracking and drop detection - CsiFrame bridge to detection pipeline (amplitude/phase/SNR conversion) - Python ESP32 binary parser with UDP reader - Presence detection confirmed: motion score 10/10 from live CSI variance Hardware verified: ESP32-S3-DevKitC-1 (CP2102, MAC 3C:0F:02:EC:C2:28), Docker ESP-IDF v5.2 build, esptool 5.1.0 flash, 20 Rust + 6 Python tests pass. Co-Authored-By: claude-flow <ruv@ruv.net> |