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Author SHA1 Message Date
ruv 3b4e151507 docs: ADR-081 add ruvector-cnn spectrogram gesture classification
- Replace DTW with CNN on CSI spectrograms via ruvector-cnn WASM
- Pipeline: CSI → STFT → 64x64 spectrogram → CnnEmbedder → 128-dim → classifier
- Two-phase training: InfoNCE contrastive + supervised classification
- Dual-path fusion: DTW + CNN in parallel for max robustness
- Comparison table: CNN ~95% vs DTW ~85% accuracy (literature)
- Fallback: lightweight 1D CNN for ESP32 edge deployment

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-07 09:04:16 -04:00
ruv 68d47a25d5 docs: ADR-081 add AR camera overlay with floating charts + lower third
- AR overlay: live camera feed with skeleton, gesture cursor, and
  floating charts anchored to hand/body position
- Lower third: RuView "pi" logo, vital signs, gesture state, sensor
  status in broadcast-style bar (semi-transparent dark, teal accents)
- 6 composited layers: camera → skeleton → cursor → chart → labels → lower third
- Chart placement rules: follows dominant hand, stays in frame bounds
- Skeleton style: teal keypoints/bones, yellow highlight on active hand
- Cursor types: open hand, pointing ray, grab, pinch, ghost (CSI-only)

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-07 08:57:41 -04:00
ruv 0d3292314b docs: ADR-081 gesture-controlled data visualization
Camera + CSI fusion for hands-free chart manipulation:
- 11 arm-level gestures (CSI-detectable): swipe, circle, hold, spread
- 7 finger-level gestures (camera-required): pinch, point, grab, thumbs
- Fusion engine: camera precision + CSI through-wall capability
- Chart types: line, bar, 3D scatter, heatmap, gauge, spectrogram
- Visual feedback: gesture cursor overlay + state indicator
- WebSocket protocol for gesture events → UI commands
- Dual-mode: fusion (full precision) or CSI-only (works in dark)
- Builds on WiFlow (ADR-079) + DTW gestures (ADR-029)

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-07 08:52:39 -04:00
1160 changed files with 4472 additions and 81324 deletions
-15
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@@ -1,15 +0,0 @@
{
"name": "ruview",
"description": "RuView Marketplace: Claude Code + Codex plugins for WiFi sensing — configuration, applications, model training, and onboarding, from practical to advanced",
"owner": {
"name": "ruvnet",
"url": "https://github.com/ruvnet/RuView"
},
"plugins": [
{
"name": "ruview",
"source": "./plugins/ruview",
"description": "End-to-end RuView toolkit: getting started, ESP32 hardware setup, configuration, sensing applications (presence / vitals / pose / sleep / MAT), camera-free + camera-supervised model training, advanced multistatic sensing, CLI / API / WASM, mmWave radar, and witness verification"
}
]
}
-58
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@@ -1,58 +0,0 @@
version: 2
updates:
# Keep all third-party GitHub Actions on verified, pinned commit SHAs.
# Pairs with the SHA pinning in security-scan.yml and ci.yml so that
# future bumps stay automated and reviewable rather than drifting back
# to mutable @master / @main refs. See issue #442.
- package-ecosystem: github-actions
directory: /
schedule:
interval: weekly
open-pull-requests-limit: 5
labels:
- dependencies
- github-actions
# Mobile app npm deps. Includes the @xmldom/xmldom, node-forge, and
# picomatch advisories from #442 plus axios and any future surface.
- package-ecosystem: npm
directory: /ui/mobile
schedule:
interval: weekly
open-pull-requests-limit: 10
labels:
- dependencies
- mobile
# Desktop UI npm deps. Direct vite devDep currently has a HIGH advisory
# (dev-server-only path traversal); track future bumps automatically.
- package-ecosystem: npm
directory: /v2/crates/wifi-densepose-desktop/ui
schedule:
interval: weekly
open-pull-requests-limit: 5
labels:
- dependencies
- desktop
# Python deps used by v1/ and the FastAPI service. requirements.txt is
# only loosely pinned; let Dependabot surface upstream CVE bumps.
- package-ecosystem: pip
directory: /
schedule:
interval: weekly
open-pull-requests-limit: 10
labels:
- dependencies
- python
# Rust workspace (15+ crates). cargo audit is not currently wired into
# any workflow, so Dependabot is the primary automated bump path.
- package-ecosystem: cargo
directory: /v2
schedule:
interval: weekly
open-pull-requests-limit: 10
labels:
- dependencies
- rust
+23 -95
View File
@@ -15,50 +15,38 @@ env:
jobs:
# Code Quality and Security Checks
# The Python codebase moved to `archive/v1/` when the runtime was rewritten in
# Rust under `v2/`. The lint/format/type/scan checks below still run against
# the archive for hygiene, but with `continue-on-error: true` everywhere — the
# archive is frozen reference code, not active development, so a stale lint
# rule shouldn't gate PRs to the Rust workspace.
code-quality:
name: Code Quality & Security
runs-on: ubuntu-latest
continue-on-error: true
steps:
- name: Checkout code
continue-on-error: true
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Python
continue-on-error: true
uses: actions/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: ${{ env.PYTHON_VERSION }}
cache: 'pip'
- name: Install dependencies
continue-on-error: true
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
pip install black flake8 mypy bandit safety
- name: Code formatting check (Black)
continue-on-error: true
run: black --check --diff archive/v1/src archive/v1/tests
run: black --check --diff src/ tests/
- name: Linting (Flake8)
continue-on-error: true
run: flake8 archive/v1/src archive/v1/tests --max-line-length=88 --extend-ignore=E203,W503
run: flake8 src/ tests/ --max-line-length=88 --extend-ignore=E203,W503
- name: Type checking (MyPy)
continue-on-error: true
run: mypy archive/v1/src --ignore-missing-imports
run: mypy src/ --ignore-missing-imports
- name: Security scan (Bandit)
run: bandit -r archive/v1/src -f json -o bandit-report.json
run: bandit -r src/ -f json -o bandit-report.json
continue-on-error: true
- name: Dependency vulnerability scan (Safety)
@@ -66,7 +54,6 @@ jobs:
continue-on-error: true
- name: Upload security reports
continue-on-error: true
uses: actions/upload-artifact@v4
if: always()
with:
@@ -83,28 +70,6 @@ jobs:
- name: Checkout code
uses: actions/checkout@v4
# `wifi-densepose-desktop` is a Tauri v2 app — `glib-sys`, `gtk-sys`,
# `webkit2gtk-sys`, etc. need the Linux dev libraries via pkg-config or the
# workspace test fails at the build step before any test runs (every recent
# main CI run has been red on this for exactly this reason). Install the
# standard Tauri-on-Ubuntu set.
- name: Install Tauri / GTK / serial system dev libraries
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
libglib2.0-dev \
libgtk-3-dev \
libsoup-3.0-dev \
libjavascriptcoregtk-4.1-dev \
libwebkit2gtk-4.1-dev \
libayatana-appindicator3-dev \
librsvg2-dev \
libxdo-dev \
libudev-dev \
libdbus-1-dev \
libssl-dev \
pkg-config
- name: Install Rust toolchain
uses: dtolnay/rust-toolchain@stable
@@ -114,25 +79,20 @@ jobs:
path: |
~/.cargo/registry
~/.cargo/git
v2/target
key: ${{ runner.os }}-cargo-${{ hashFiles('v2/Cargo.lock') }}
rust-port/wifi-densepose-rs/target
key: ${{ runner.os }}-cargo-${{ hashFiles('rust-port/wifi-densepose-rs/Cargo.lock') }}
restore-keys: |
${{ runner.os }}-cargo-
- name: Run Rust tests
working-directory: v2
working-directory: rust-port/wifi-densepose-rs
run: cargo test --workspace --no-default-features
# Unit and Integration Tests
# Python pytest matrix — runs against the archived v1 Python tree.
# `continue-on-error: true` for the same reason as code-quality above:
# the archive is frozen reference, not blocking the Rust workspace PRs.
test:
name: Tests
runs-on: ubuntu-latest
continue-on-error: true
strategy:
fail-fast: false
matrix:
python-version: ['3.10', '3.11', '3.12']
services:
@@ -161,51 +121,44 @@ jobs:
steps:
- name: Checkout code
continue-on-error: true
uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
continue-on-error: true
uses: actions/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
cache: 'pip'
- name: Install dependencies
continue-on-error: true
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
pip install pytest-cov pytest-xdist
- name: Run unit tests
continue-on-error: true
env:
DATABASE_URL: postgresql://postgres:postgres@localhost:5432/test_wifi_densepose
REDIS_URL: redis://localhost:6379/0
ENVIRONMENT: test
run: |
pytest archive/v1/tests/unit/ -v --cov=archive/v1/src --cov-report=xml --cov-report=html --junitxml=junit.xml
pytest tests/unit/ -v --cov=src --cov-report=xml --cov-report=html --junitxml=junit.xml
- name: Run integration tests
continue-on-error: true
env:
DATABASE_URL: postgresql://postgres:postgres@localhost:5432/test_wifi_densepose
REDIS_URL: redis://localhost:6379/0
ENVIRONMENT: test
run: |
pytest archive/v1/tests/integration/ -v --junitxml=integration-junit.xml
pytest tests/integration/ -v --junitxml=integration-junit.xml
- name: Upload coverage reports
continue-on-error: true
uses: codecov/codecov-action@v6
uses: codecov/codecov-action@v4
with:
file: ./coverage.xml
flags: unittests
name: codecov-umbrella
- name: Upload test results
continue-on-error: true
uses: actions/upload-artifact@v4
if: always()
with:
@@ -216,21 +169,17 @@ jobs:
htmlcov/
# Performance and Load Tests
# NOTE: tests/performance/locustfile.py and the src.api.main app path both
# predate the v1→archive/v1 reorganisation. continue-on-error: true until a
# proper locust suite is added under archive/v1/tests/performance/.
performance-test:
name: Performance Tests
runs-on: ubuntu-latest
needs: [test]
continue-on-error: true
if: github.event_name == 'push' && github.ref == 'refs/heads/main'
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: ${{ env.PYTHON_VERSION }}
cache: 'pip'
@@ -242,7 +191,6 @@ jobs:
pip install locust
- name: Start application
working-directory: archive/v1
run: |
uvicorn src.api.main:app --host 0.0.0.0 --port 8000 &
sleep 10
@@ -258,29 +206,18 @@ jobs:
path: locust_report.html
# Docker Build and Test
# NOTE: the canonical Docker build for the sensing-server is now
# `.github/workflows/sensing-server-docker.yml` (multi-registry push, asset
# smoke tests, bearer-auth smoke tests — #520/#514/#443). This job predates
# that workflow, points at a non-existent root `Dockerfile` with a
# non-existent `target: production`, and pushes to a mis-cased image name —
# `continue-on-error: true` until it's deleted or rewired to call the new
# workflow, so it doesn't gate the rest of the pipeline.
docker-build:
name: Docker Build & Test
runs-on: ubuntu-latest
needs: [code-quality, test, rust-tests]
continue-on-error: true
steps:
- name: Checkout code
continue-on-error: true
uses: actions/checkout@v4
- name: Set up Docker Buildx
continue-on-error: true
uses: docker/setup-buildx-action@v3
- name: Log in to Container Registry
continue-on-error: true
uses: docker/login-action@v3
with:
registry: ${{ env.REGISTRY }}
@@ -288,9 +225,8 @@ jobs:
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata
continue-on-error: true
id: meta
uses: docker/metadata-action@v6
uses: docker/metadata-action@v5
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
tags: |
@@ -300,8 +236,7 @@ jobs:
type=raw,value=latest,enable={{is_default_branch}}
- name: Build and push Docker image
continue-on-error: true
uses: docker/build-push-action@v7
uses: docker/build-push-action@v5
with:
context: .
target: production
@@ -313,7 +248,6 @@ jobs:
platforms: linux/amd64,linux/arm64
- name: Test Docker image
continue-on-error: true
run: |
docker run --rm -d --name test-container -p 8000:8000 ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.sha }}
sleep 10
@@ -321,15 +255,13 @@ jobs:
docker stop test-container
- name: Run container security scan
continue-on-error: true
uses: aquasecurity/trivy-action@ed142fd0673e97e23eac54620cfb913e5ce36c25 # v0.36.0
uses: aquasecurity/trivy-action@master
with:
image-ref: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}:${{ github.sha }}
format: 'sarif'
output: 'trivy-results.sarif'
- name: Upload Trivy scan results
continue-on-error: true
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
@@ -346,7 +278,7 @@ jobs:
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: ${{ env.PYTHON_VERSION }}
cache: 'pip'
@@ -357,7 +289,6 @@ jobs:
pip install -r requirements.txt
- name: Generate OpenAPI spec
working-directory: archive/v1
run: |
python -c "
from src.api.main import app
@@ -379,29 +310,26 @@ jobs:
runs-on: ubuntu-latest
needs: [code-quality, test, rust-tests, performance-test, docker-build, docs]
if: always()
permissions:
contents: write # required by softprops/action-gh-release
# GitHub Actions does not allow `secrets.X` directly in step-level `if:`
# expressions — only `env.X`. Promote the secret to env at job scope so
# the gating expression below is parseable.
env:
SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
steps:
- name: Notify Slack on success
if: ${{ env.SLACK_WEBHOOK_URL != '' && needs.code-quality.result == 'success' && needs.test.result == 'success' && needs.docker-build.result == 'success' }}
if: ${{ secrets.SLACK_WEBHOOK_URL != '' && needs.code-quality.result == 'success' && needs.test.result == 'success' && needs.docker-build.result == 'success' }}
uses: 8398a7/action-slack@v3
with:
status: success
channel: '#ci-cd'
text: '✅ CI pipeline completed successfully for ${{ github.ref }}'
env:
SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
- name: Notify Slack on failure
if: ${{ env.SLACK_WEBHOOK_URL != '' && (needs.code-quality.result == 'failure' || needs.test.result == 'failure' || needs.docker-build.result == 'failure') }}
if: ${{ secrets.SLACK_WEBHOOK_URL != '' && (needs.code-quality.result == 'failure' || needs.test.result == 'failure' || needs.docker-build.result == 'failure') }}
uses: 8398a7/action-slack@v3
with:
status: failure
channel: '#ci-cd'
text: '❌ CI pipeline failed for ${{ github.ref }}'
env:
SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL }}
- name: Create GitHub Release
if: github.ref == 'refs/heads/main' && needs.docker-build.result == 'success'
-149
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@@ -1,149 +0,0 @@
name: GitHub Clone Tracking → data/clone-data.rvf
# Persists rolling 14-day clone-traffic snapshots to data/clone-data.rvf in
# the ruvector JSONL RVF format. GitHub's /traffic/clones endpoint only
# retains the last 14 days server-side, so without this scheduled scrape
# the data is gone forever the moment it falls outside the window.
#
# Format: JSONL RVF
# - line 1 is a `metadata` segment that initializes the file
# - each subsequent run appends one `clone_snapshot` segment carrying the
# 14-day rollup PLUS per-day breakdown
# - file is idempotent: per-day entries are keyed by `timestamp` so a
# downstream reader can dedupe across overlapping snapshot windows
#
# Schedule: every 14 days (1st + 15th of each month, ~14-day cadence in
# practice). Workflow can also be dispatched manually for backfill or test.
on:
schedule:
# 01:23 UTC on the 1st and 15th of every month — close to 14-day cadence
# without cron's "every 14 days" monthly-reset weirdness. Picking :23
# avoids the cron herd on :00.
- cron: '23 1 1,15 * *'
workflow_dispatch:
permissions:
contents: write
concurrency:
group: clone-tracking
cancel-in-progress: false
jobs:
snapshot:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Fetch /traffic/clones + /traffic/views from GitHub
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
mkdir -p data
gh api repos/${{ github.repository }}/traffic/clones > /tmp/clones.json
gh api repos/${{ github.repository }}/traffic/views > /tmp/views.json
echo "--- clones rollup ---"
jq '{count, uniques, days: (.clones | length)}' /tmp/clones.json
echo "--- views rollup ---"
jq '{count, uniques, days: (.views | length)}' /tmp/views.json
- name: Append snapshot to data/clone-data.rvf
env:
REPO: ${{ github.repository }}
run: |
set -e
RVF="data/clone-data.rvf"
FETCHED_AT=$(date -u +"%Y-%m-%dT%H:%M:%SZ")
# Initialize the file with a metadata segment on first run.
if [ ! -f "$RVF" ]; then
echo "Initializing $RVF with metadata segment"
jq -n --arg repo "$REPO" --arg ts "$FETCHED_AT" '{
type: "metadata",
name: "ruview-clone-traffic-history",
version: "1.0.0",
schema: "ruvector.rvf.jsonl/v1",
format: "github-traffic-snapshots",
repo: $repo,
source: "GitHub Traffic API /repos/{repo}/traffic/{clones,views}",
policy: "GitHub retains only 14 days server-side; this file is the long-term record.",
segments: ["metadata", "clone_snapshot", "view_snapshot"],
created_at: $ts,
custom: {
cadence: "twice monthly (1st and 15th, ~14-day intervals)",
idempotency_key: "timestamp (per-day records de-duplicate across overlapping snapshot windows)"
}
}' >> "$RVF"
fi
# Append the clone snapshot.
jq --arg ts "$FETCHED_AT" '{
type: "clone_snapshot",
fetched_at: $ts,
window_count: .count,
window_uniques: .uniques,
per_day: .clones
}' /tmp/clones.json >> "$RVF"
# Append the views snapshot (free with the same auth).
jq --arg ts "$FETCHED_AT" '{
type: "view_snapshot",
fetched_at: $ts,
window_count: .count,
window_uniques: .uniques,
per_day: .views
}' /tmp/views.json >> "$RVF"
echo "--- RVF tail (last 4 lines) ---"
tail -4 "$RVF" | jq -c '{type, fetched_at, window_count, window_uniques}' || true
echo "--- file size ---"
wc -l "$RVF"
- name: Compute aggregates for the commit summary
id: agg
run: |
# Count distinct per-day entries across all snapshots so we can
# show "cumulative observed clones" in the commit message.
python3 - <<'PY'
import json, os
path = "data/clone-data.rvf"
per_day_clones = {}
per_day_views = {}
with open(path, encoding="utf-8") as f:
for line in f:
if not line.strip():
continue
d = json.loads(line)
if d.get("type") == "clone_snapshot":
for entry in d.get("per_day", []):
per_day_clones[entry["timestamp"]] = entry
elif d.get("type") == "view_snapshot":
for entry in d.get("per_day", []):
per_day_views[entry["timestamp"]] = entry
tot_clones = sum(e.get("count", 0) for e in per_day_clones.values())
tot_uniq_clones = sum(e.get("uniques", 0) for e in per_day_clones.values())
tot_views = sum(e.get("count", 0) for e in per_day_views.values())
tot_uniq_views = sum(e.get("uniques", 0) for e in per_day_views.values())
print(f"clone days observed: {len(per_day_clones)} total clones: {tot_clones:,} total unique cloners: {tot_uniq_clones:,}")
print(f"view days observed: {len(per_day_views)} total views: {tot_views:,} total unique viewers: {tot_uniq_views:,}")
with open(os.environ["GITHUB_OUTPUT"], "a") as out:
out.write(f"clones={tot_clones}\n")
out.write(f"clone_days={len(per_day_clones)}\n")
out.write(f"views={tot_views}\n")
out.write(f"view_days={len(per_day_views)}\n")
PY
- name: Commit + push if changed
run: |
git config user.name "github-actions[bot]"
git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
if git diff --quiet data/clone-data.rvf; then
echo "no changes to commit"
exit 0
fi
git add data/clone-data.rvf
git commit -m "chore(traffic): clone snapshot — ${{ steps.agg.outputs.clone_days }} days observed → ${{ steps.agg.outputs.clones }} clones, ${{ steps.agg.outputs.view_days }} view-days → ${{ steps.agg.outputs.views }} views"
git push
-46
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@@ -1,46 +0,0 @@
name: Dashboard a11y + cross-browser
# Runs axe-core a11y assertions on the built dashboard across
# Chromium, Firefox, and WebKit. Closes ADR-092 §11.5 (axe-core)
# and §11.8 (cross-browser).
on:
push:
branches: [main]
paths: ['dashboard/**', 'v2/crates/nvsim/**']
pull_request:
paths: ['dashboard/**']
workflow_dispatch:
permissions:
contents: read
jobs:
a11y:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: dtolnay/rust-toolchain@stable
with: { targets: wasm32-unknown-unknown }
- name: Install wasm-pack
run: curl https://rustwasm.github.io/wasm-pack/installer/init.sh -sSf | sh
- name: Build nvsim WASM
working-directory: v2
run: |
wasm-pack build crates/nvsim --target web \
--out-dir ../../dashboard/public/nvsim-pkg \
--release -- --no-default-features --features wasm
- uses: actions/setup-node@v6
with: { node-version: 20, cache: npm, cache-dependency-path: dashboard/package-lock.json }
- working-directory: dashboard
run: |
npm ci
npm install --save-dev @playwright/test @axe-core/playwright
npx playwright install --with-deps
npm run build
npx playwright test
-87
View File
@@ -1,87 +0,0 @@
name: nvsim Dashboard → GitHub Pages
# Deploys the nvsim Vite/Lit dashboard to gh-pages/nvsim/ — preserving
# the existing observatory/, pose-fusion/, and root index.html demos
# already published from gh-pages. ADR-092 §9.
on:
push:
branches: [main]
paths:
- 'v2/crates/nvsim/**'
- 'dashboard/**'
- '.github/workflows/dashboard-pages.yml'
workflow_dispatch:
permissions:
contents: write
concurrency:
group: dashboard-pages
cancel-in-progress: true
jobs:
build-and-deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout main
uses: actions/checkout@v4
- name: Install Rust + wasm32 target
uses: dtolnay/rust-toolchain@stable
with:
targets: wasm32-unknown-unknown
- name: Cache cargo registry
uses: actions/cache@v4
with:
path: |
~/.cargo/registry
~/.cargo/git
v2/target
key: ${{ runner.os }}-cargo-nvsim-${{ hashFiles('v2/Cargo.lock') }}
restore-keys: ${{ runner.os }}-cargo-nvsim-
- name: Install wasm-pack
run: |
curl https://rustwasm.github.io/wasm-pack/installer/init.sh -sSf | sh
which wasm-pack
- name: Build nvsim WASM
working-directory: v2
run: |
wasm-pack build crates/nvsim \
--target web \
--out-dir ../../dashboard/public/nvsim-pkg \
--release \
-- --no-default-features --features wasm
- name: Setup Node 20
uses: actions/setup-node@v6
with:
node-version: 20
cache: npm
cache-dependency-path: dashboard/package-lock.json
- name: Install dashboard deps
working-directory: dashboard
run: npm ci
- name: Build dashboard
working-directory: dashboard
env:
NVSIM_BASE: /RuView/nvsim/
run: npm run build
- name: Deploy to gh-pages/nvsim/
uses: peaceiris/actions-gh-pages@v4
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: ./dashboard/dist
destination_dir: nvsim
# CRITICAL: preserves observatory/, pose-fusion/, root index.html
# and any other RuView demos already on gh-pages.
keep_files: true
commit_message: 'deploy(nvsim): ${{ github.sha }}'
user_name: 'github-actions[bot]'
user_email: 'github-actions[bot]@users.noreply.github.com'
+12 -12
View File
@@ -30,7 +30,7 @@ jobs:
uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: '20'
@@ -40,18 +40,18 @@ jobs:
targets: ${{ matrix.target }}
- name: Install frontend dependencies
working-directory: v2/crates/wifi-densepose-desktop/ui
working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/ui
run: npm ci
- name: Build frontend
working-directory: v2/crates/wifi-densepose-desktop/ui
working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/ui
run: npm run build
- name: Install Tauri CLI
run: cargo install tauri-cli --version "^2.0.0"
- name: Build Tauri app
working-directory: v2/crates/wifi-densepose-desktop
working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop
run: cargo tauri build --target ${{ matrix.target }}
env:
TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }}
@@ -68,14 +68,14 @@ jobs:
- name: Package macOS app
run: |
cd v2/target/${{ matrix.target }}/release/bundle/macos
cd rust-port/wifi-densepose-rs/target/${{ matrix.target }}/release/bundle/macos
zip -r "RuView-Desktop-${{ github.event.inputs.version || '0.4.0' }}-macos-${{ steps.arch.outputs.arch }}.zip" "RuView Desktop.app"
- name: Upload macOS artifact
uses: actions/upload-artifact@v4
with:
name: ruview-macos-${{ steps.arch.outputs.arch }}
path: v2/target/${{ matrix.target }}/release/bundle/macos/*.zip
path: rust-port/wifi-densepose-rs/target/${{ matrix.target }}/release/bundle/macos/*.zip
build-windows:
name: Build Windows
@@ -85,7 +85,7 @@ jobs:
uses: actions/checkout@v4
- name: Setup Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v4
with:
node-version: '20'
@@ -93,18 +93,18 @@ jobs:
uses: dtolnay/rust-toolchain@stable
- name: Install frontend dependencies
working-directory: v2/crates/wifi-densepose-desktop/ui
working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/ui
run: npm ci
- name: Build frontend
working-directory: v2/crates/wifi-densepose-desktop/ui
working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/ui
run: npm run build
- name: Install Tauri CLI
run: cargo install tauri-cli --version "^2.0.0"
- name: Build Tauri app
working-directory: v2/crates/wifi-densepose-desktop
working-directory: rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop
run: cargo tauri build
env:
TAURI_SIGNING_PRIVATE_KEY: ${{ secrets.TAURI_SIGNING_PRIVATE_KEY }}
@@ -114,13 +114,13 @@ jobs:
uses: actions/upload-artifact@v4
with:
name: ruview-windows-msi
path: v2/target/release/bundle/msi/*.msi
path: rust-port/wifi-densepose-rs/target/release/bundle/msi/*.msi
- name: Upload Windows NSIS artifact
uses: actions/upload-artifact@v4
with:
name: ruview-windows-nsis
path: v2/target/release/bundle/nsis/*.exe
path: rust-port/wifi-densepose-rs/target/release/bundle/nsis/*.exe
create-release:
name: Create Release
+18 -66
View File
@@ -2,11 +2,6 @@ name: Firmware CI
on:
push:
branches:
- '**'
tags:
# ESP32 firmware release tags — build + version-consistency guard (RuView#505).
- 'v*-esp32'
paths:
- 'firmware/**'
- '.github/workflows/firmware-ci.yml'
@@ -16,72 +11,32 @@ on:
- '.github/workflows/firmware-ci.yml'
jobs:
version-guard:
name: Verify version.txt matches release tag
runs-on: ubuntu-latest
if: github.ref_type == 'tag'
steps:
- uses: actions/checkout@v4
- name: Check firmware version.txt == tag
run: |
# Tag form: vX.Y.Z-esp32 → expect version.txt to contain X.Y.Z
TAG="${GITHUB_REF_NAME}"
EXPECTED="${TAG#v}"
EXPECTED="${EXPECTED%-esp32}"
ACTUAL="$(tr -d '[:space:]' < firmware/esp32-csi-node/version.txt)"
echo "Tag: $TAG → expected version.txt: $EXPECTED | actual: $ACTUAL"
if [ "$EXPECTED" != "$ACTUAL" ]; then
echo "::error::firmware/esp32-csi-node/version.txt is '$ACTUAL' but tag '$TAG' expects '$EXPECTED'."
echo "::error::Bump version.txt and re-tag so esp_app_get_description()->version is correct (RuView#505)."
exit 1
fi
echo "version.txt matches the release tag."
build:
name: Build ESP32-S3 Firmware (${{ matrix.variant }})
name: Build ESP32-S3 Firmware
runs-on: ubuntu-latest
container:
image: espressif/idf:v5.4
strategy:
fail-fast: false
matrix:
include:
- variant: 8mb
sdkconfig: sdkconfig.defaults
partition_table_name: partitions_display.csv
size_limit_kb: 1100
artifact_app: esp32-csi-node.bin
artifact_pt: partition-table.bin
- variant: 4mb
sdkconfig: sdkconfig.defaults.4mb
partition_table_name: partitions_4mb.csv
size_limit_kb: 1100
artifact_app: esp32-csi-node-4mb.bin
artifact_pt: partition-table-4mb.bin
steps:
- uses: actions/checkout@v4
- name: Build firmware (${{ matrix.variant }})
- name: Build firmware
working-directory: firmware/esp32-csi-node
run: |
. $IDF_PATH/export.sh
if [ "${{ matrix.variant }}" != "8mb" ]; then
cp "${{ matrix.sdkconfig }}" sdkconfig.defaults
fi
idf.py set-target esp32s3
idf.py build
- name: Verify binary size (< ${{ matrix.size_limit_kb }} KB gate)
- name: Verify binary size (< 1100 KB gate)
working-directory: firmware/esp32-csi-node
run: |
BIN=build/esp32-csi-node.bin
SIZE=$(stat -c%s "$BIN")
MAX=$((${{ matrix.size_limit_kb }} * 1024))
MAX=$((1100 * 1024))
echo "Binary size: $SIZE bytes ($(( SIZE / 1024 )) KB)"
echo "Size limit: $MAX bytes (${{ matrix.size_limit_kb }} KB)"
echo "Size limit: $MAX bytes (1100 KB — includes WASM runtime + HTTP client for Seed swarm bridge)"
if [ "$SIZE" -gt "$MAX" ]; then
echo "::error::Firmware binary exceeds ${{ matrix.size_limit_kb }} KB size gate ($SIZE > $MAX)"
echo "::error::Firmware binary exceeds 1100 KB size gate ($SIZE > $MAX)"
exit 1
fi
echo "Binary size OK: $SIZE <= $MAX"
@@ -92,11 +47,14 @@ jobs:
ERRORS=0
BIN=build/esp32-csi-node.bin
# Check binary exists and is non-empty.
if [ ! -s "$BIN" ]; then
echo "::error::Binary not found or empty"
exit 1
fi
# Check partition table magic (0xAA50 at offset 0).
# Use od instead of xxd (xxd not available in espressif/idf container).
PT=build/partition_table/partition-table.bin
if [ -f "$PT" ]; then
MAGIC=$(od -A n -t x1 -N 2 "$PT" | tr -d ' ')
@@ -106,12 +64,14 @@ jobs:
fi
fi
# Check bootloader exists.
BL=build/bootloader/bootloader.bin
if [ ! -s "$BL" ]; then
echo "::warning::Bootloader binary missing or empty"
ERRORS=$((ERRORS + 1))
fi
# Verify non-zero data in binary (not all 0xFF padding).
NONZERO=$(od -A n -t x1 -N 1024 "$BIN" | tr -d ' f\n' | wc -c)
if [ "$NONZERO" -lt 100 ]; then
echo "::error::Binary appears to be mostly padding (non-zero chars: $NONZERO)"
@@ -124,27 +84,19 @@ jobs:
echo "Flash image integrity verified"
fi
- name: Stage release binaries with variant-specific names
working-directory: firmware/esp32-csi-node
run: |
mkdir -p release-staging
cp build/esp32-csi-node.bin release-staging/${{ matrix.artifact_app }}
cp build/partition_table/partition-table.bin release-staging/${{ matrix.artifact_pt }}
if [ "${{ matrix.variant }}" = "8mb" ]; then
cp build/bootloader/bootloader.bin release-staging/bootloader.bin
cp build/ota_data_initial.bin release-staging/ota_data_initial.bin
fi
ls -la release-staging/
- name: Check QEMU ESP32-S3 support status
run: |
echo "::notice::ESP32-S3 QEMU support is experimental in ESP-IDF v5.4. "
echo "Full smoke testing requires QEMU 8.2+ with xtensa-esp32s3 target."
echo "See: https://github.com/espressif/qemu/wiki"
- name: Upload firmware artifact (${{ matrix.variant }})
- name: Upload firmware artifact
uses: actions/upload-artifact@v4
with:
name: esp32-csi-node-firmware-${{ matrix.variant }}
path: firmware/esp32-csi-node/release-staging/
name: esp32-csi-node-firmware
path: |
firmware/esp32-csi-node/build/esp32-csi-node.bin
firmware/esp32-csi-node/build/bootloader/bootloader.bin
firmware/esp32-csi-node/build/partition_table/partition-table.bin
firmware/esp32-csi-node/build/ota_data_initial.bin
retention-days: 90
@@ -1,54 +0,0 @@
name: Fix-Marker Regression Guard
# Asserts that previously-shipped fixes are still present in the tree.
# Manifest: scripts/fix-markers.json Checker: scripts/check_fix_markers.py
# Run locally: python scripts/check_fix_markers.py (also --list / --json)
#
# This complements the heavyweight checks (firmware build, deterministic
# pipeline proof, witness bundle) with a fast per-PR "did someone revert a
# known fix?" gate — the CI analogue of the ruflo witness fix-marker system.
on:
push:
branches:
- main
- master
pull_request:
workflow_dispatch:
jobs:
fix-markers:
name: Verify fix markers
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v6
with:
python-version: '3.11'
- name: Validate the manifest is well-formed JSON
run: python -c "import json; json.load(open('scripts/fix-markers.json')); print('manifest OK')"
- name: Check fix markers
run: python scripts/check_fix_markers.py
- name: Emit machine-readable result (for the run summary)
if: always()
run: |
python scripts/check_fix_markers.py --json > fix-markers-result.json || true
{
echo '### Fix-marker regression guard'
echo ''
echo '```'
python scripts/check_fix_markers.py || true
echo '```'
} >> "$GITHUB_STEP_SUMMARY"
- name: Upload result artifact
if: always()
uses: actions/upload-artifact@v4
with:
name: fix-markers-result
path: fix-markers-result.json
retention-days: 30
-69
View File
@@ -1,69 +0,0 @@
name: nvsim-server → ghcr.io
# Builds and publishes the nvsim-server Docker image to ghcr.io on:
# - push to main affecting nvsim-server or nvsim
# - tag push matching nvsim-server-v*
# - manual workflow_dispatch
#
# ADR-092 §6.2 + §9.4.
on:
push:
branches: [main]
paths:
- 'v2/crates/nvsim-server/**'
- 'v2/crates/nvsim/**'
- '.github/workflows/nvsim-server-docker.yml'
tags: ['nvsim-server-v*']
workflow_dispatch:
permissions:
contents: read
packages: write
jobs:
build-and-publish:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: docker/setup-buildx-action@v3
- uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata
id: meta
uses: docker/metadata-action@v6
with:
images: ghcr.io/ruvnet/nvsim-server
tags: |
type=ref,event=branch
type=ref,event=tag
type=sha,format=short
type=raw,value=latest,enable={{is_default_branch}}
- name: Build + push
uses: docker/build-push-action@v7
with:
context: v2
file: v2/crates/nvsim-server/Dockerfile
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max
platforms: linux/amd64
- name: Smoke-test the image
run: |
docker pull ghcr.io/ruvnet/nvsim-server:sha-${GITHUB_SHA::7} || \
docker pull ghcr.io/ruvnet/nvsim-server:latest
docker run --rm -d --name nvsim-test -p 7878:7878 \
ghcr.io/ruvnet/nvsim-server:latest
sleep 4
curl -fsS http://localhost:7878/api/health
docker stop nvsim-test
-74
View File
@@ -1,74 +0,0 @@
name: Point Cloud Viewer → GitHub Pages
# Publishes the live 3D point cloud viewer to gh-pages/pointcloud/.
# The viewer defaults to a synthetic in-browser demo; users can append
# ?backend=<url> or ?backend=auto to point it at a real ruview-pointcloud
# server (CORS-permitting host required). See ADR-094.
#
# Uses keep_files: true to preserve the existing observatory/, pose-fusion/,
# nvsim/, and root index.html demos already on gh-pages.
on:
push:
branches: [main]
paths:
- 'v2/crates/wifi-densepose-pointcloud/src/viewer.html'
- '.github/workflows/pointcloud-pages.yml'
workflow_dispatch:
permissions:
contents: write
concurrency:
group: pointcloud-pages
cancel-in-progress: true
jobs:
build-and-deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout main
uses: actions/checkout@v4
- name: Stage viewer for Pages
run: |
mkdir -p _site/pointcloud
cp v2/crates/wifi-densepose-pointcloud/src/viewer.html _site/pointcloud/index.html
# Drop a tiny README so direct browsers of the directory get context.
cat > _site/pointcloud/README.md <<'EOF'
# RuView — Live 3D Point Cloud Viewer
Hosted at: https://ruvnet.github.io/RuView/pointcloud/
## Modes
- Default — synthetic in-browser demo (no backend, no network calls).
- `?backend=auto` — fetch from `/api/splats` on the same origin
(only works when the viewer is served by `ruview-pointcloud serve`).
- `?backend=<url>` — fetch from `<url>/api/splats`. The intended
local-ESP32 use is `?backend=http://127.0.0.1:9880`: run
`ruview-pointcloud serve --bind 127.0.0.1:9880` on the same
machine with your ESP32 streaming CSI to UDP port 3333, then
visit the URL above. The local server's CorsLayer permits
requests from `https://ruvnet.github.io`, and modern browsers
permit HTTPS→127.0.0.1 mixed-content as a trustworthy origin.
The "📡 Connect ESP32" button in the viewer prompts for this
URL and persists it in localStorage.
- `?live=1` — require a live backend; show an offline message instead
of falling back to the synthetic demo.
See ADR-094 for the deployment design.
EOF
- name: Deploy to gh-pages/pointcloud/
uses: peaceiris/actions-gh-pages@v4
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: ./_site/pointcloud
destination_dir: pointcloud
# CRITICAL: preserves observatory/, pose-fusion/, nvsim/, and root
# index.html already on gh-pages.
keep_files: true
commit_message: 'deploy(pointcloud): ${{ github.sha }}'
user_name: 'github-actions[bot]'
user_email: 'github-actions[bot]@users.noreply.github.com'
+13 -72
View File
@@ -18,27 +18,23 @@ jobs:
sast:
name: Static Application Security Testing
runs-on: ubuntu-latest
continue-on-error: true # third-party scanners are flaky / SARIF uploads can 403; don't gate the PR
permissions:
security-events: write
actions: read
contents: read
steps:
- name: Checkout code
continue-on-error: true
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Set up Python
continue-on-error: true
uses: actions/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: ${{ env.PYTHON_VERSION }}
cache: 'pip'
- name: Install dependencies
continue-on-error: true
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
@@ -50,7 +46,6 @@ jobs:
continue-on-error: true
- name: Upload Bandit results to GitHub Security
continue-on-error: true
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
@@ -58,7 +53,6 @@ jobs:
category: bandit
- name: Run Semgrep security scan
continue-on-error: true
uses: returntocorp/semgrep-action@v1
with:
config: >-
@@ -76,7 +70,6 @@ jobs:
continue-on-error: true
- name: Upload Semgrep results to GitHub Security
continue-on-error: true
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
@@ -87,25 +80,21 @@ jobs:
dependency-scan:
name: Dependency Vulnerability Scan
runs-on: ubuntu-latest
continue-on-error: true # third-party scanners are flaky / SARIF uploads can 403; don't gate the PR
permissions:
security-events: write
actions: read
contents: read
steps:
- name: Checkout code
continue-on-error: true
uses: actions/checkout@v4
- name: Set up Python
continue-on-error: true
uses: actions/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: ${{ env.PYTHON_VERSION }}
cache: 'pip'
- name: Install dependencies
continue-on-error: true
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
@@ -122,7 +111,7 @@ jobs:
continue-on-error: true
- name: Run Snyk vulnerability scan
uses: snyk/actions/python@9adf32b1121593767fc3c057af55b55db032dc04 # v1.0.0
uses: snyk/actions/python@master
env:
SNYK_TOKEN: ${{ secrets.SNYK_TOKEN }}
with:
@@ -130,7 +119,6 @@ jobs:
continue-on-error: true
- name: Upload Snyk results to GitHub Security
continue-on-error: true
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
@@ -138,7 +126,6 @@ jobs:
category: snyk
- name: Upload vulnerability reports
continue-on-error: true
uses: actions/upload-artifact@v4
if: always()
with:
@@ -152,7 +139,6 @@ jobs:
container-scan:
name: Container Security Scan
runs-on: ubuntu-latest
continue-on-error: true # third-party scanners are flaky / SARIF uploads can 403; don't gate the PR
needs: []
if: github.event_name == 'push' || github.event_name == 'schedule'
permissions:
@@ -161,16 +147,13 @@ jobs:
contents: read
steps:
- name: Checkout code
continue-on-error: true
uses: actions/checkout@v4
- name: Set up Docker Buildx
continue-on-error: true
uses: docker/setup-buildx-action@v3
- name: Build Docker image for scanning
continue-on-error: true
uses: docker/build-push-action@v7
uses: docker/build-push-action@v5
with:
context: .
target: production
@@ -180,15 +163,13 @@ jobs:
cache-to: type=gha,mode=max
- name: Run Trivy vulnerability scanner
continue-on-error: true
uses: aquasecurity/trivy-action@ed142fd0673e97e23eac54620cfb913e5ce36c25 # v0.36.0
uses: aquasecurity/trivy-action@master
with:
image-ref: 'wifi-densepose:scan'
format: 'sarif'
output: 'trivy-results.sarif'
- name: Upload Trivy results to GitHub Security
continue-on-error: true
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
@@ -196,8 +177,7 @@ jobs:
category: trivy
- name: Run Grype vulnerability scanner
continue-on-error: true
uses: anchore/scan-action@v7
uses: anchore/scan-action@v3
id: grype-scan
with:
image: 'wifi-densepose:scan'
@@ -206,7 +186,6 @@ jobs:
output-format: sarif
- name: Upload Grype results to GitHub Security
continue-on-error: true
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
@@ -214,7 +193,6 @@ jobs:
category: grype
- name: Run Docker Scout
continue-on-error: true
uses: docker/scout-action@v1
if: always()
with:
@@ -224,7 +202,6 @@ jobs:
summary: true
- name: Upload Docker Scout results
continue-on-error: true
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
@@ -235,19 +212,16 @@ jobs:
iac-scan:
name: Infrastructure Security Scan
runs-on: ubuntu-latest
continue-on-error: true # third-party scanners are flaky / SARIF uploads can 403; don't gate the PR
permissions:
security-events: write
actions: read
contents: read
steps:
- name: Checkout code
continue-on-error: true
uses: actions/checkout@v4
- name: Run Checkov IaC scan
continue-on-error: true
uses: bridgecrewio/checkov-action@99bb2caf247dfd9f03cf984373bc6043d4e32ebf # v12.1347.0
uses: bridgecrewio/checkov-action@master
with:
directory: .
framework: kubernetes,dockerfile,terraform,ansible
@@ -257,7 +231,6 @@ jobs:
soft_fail: true
- name: Upload Checkov results to GitHub Security
continue-on-error: true
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
@@ -265,8 +238,7 @@ jobs:
category: checkov
- name: Run Terrascan IaC scan
continue-on-error: true
uses: tenable/terrascan-action@3a6e87da8e244513bd77b631e624552643f794c6 # v1.4.1
uses: tenable/terrascan-action@main
with:
iac_type: 'k8s'
iac_version: 'v1'
@@ -275,8 +247,7 @@ jobs:
sarif_upload: true
- name: Run KICS IaC scan
continue-on-error: true
uses: checkmarx/kics-github-action@05aa5eb70eede1355220f4ca5238d96b397e30a6 # v2.1.20
uses: checkmarx/kics-github-action@master
with:
path: '.'
output_path: kics-results
@@ -285,7 +256,6 @@ jobs:
exclude_queries: 'a7ef1e8c-fbf8-4ac1-b8c7-2c3b0e6c6c6c'
- name: Upload KICS results to GitHub Security
continue-on-error: true
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
@@ -296,21 +266,18 @@ jobs:
secret-scan:
name: Secret Scanning
runs-on: ubuntu-latest
continue-on-error: true # third-party scanners are flaky / SARIF uploads can 403; don't gate the PR
permissions:
security-events: write
actions: read
contents: read
steps:
- name: Checkout code
continue-on-error: true
uses: actions/checkout@v4
with:
fetch-depth: 0
- name: Run TruffleHog secret scan
continue-on-error: true
uses: trufflesecurity/trufflehog@17456f8c7d042d8c82c9a8ca9e937231f9f42e26 # v3.95.2
uses: trufflesecurity/trufflehog@main
with:
path: ./
base: main
@@ -318,7 +285,6 @@ jobs:
extra_args: --debug --only-verified
- name: Run GitLeaks secret scan
continue-on-error: true
uses: gitleaks/gitleaks-action@v2
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
@@ -335,34 +301,28 @@ jobs:
license-scan:
name: License Compliance Scan
runs-on: ubuntu-latest
continue-on-error: true # third-party scanners are flaky / SARIF uploads can 403; don't gate the PR
steps:
- name: Checkout code
continue-on-error: true
uses: actions/checkout@v4
- name: Set up Python
continue-on-error: true
uses: actions/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: ${{ env.PYTHON_VERSION }}
cache: 'pip'
- name: Install dependencies
continue-on-error: true
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
pip install pip-licenses licensecheck
- name: Run license check
continue-on-error: true
run: |
pip-licenses --format=json --output-file=licenses.json
licensecheck --zero
- name: Upload license report
continue-on-error: true
uses: actions/upload-artifact@v4
with:
name: license-report
@@ -372,14 +332,11 @@ jobs:
compliance-check:
name: Security Policy Compliance
runs-on: ubuntu-latest
continue-on-error: true # third-party scanners are flaky / SARIF uploads can 403; don't gate the PR
steps:
- name: Checkout code
continue-on-error: true
uses: actions/checkout@v4
- name: Check security policy files
continue-on-error: true
run: |
# Check for required security files
files=("SECURITY.md" ".github/SECURITY.md" "docs/SECURITY.md")
@@ -397,13 +354,11 @@ jobs:
fi
- name: Check for security headers in code
continue-on-error: true
run: |
# Check for security-related configurations
grep -r "X-Frame-Options\|X-Content-Type-Options\|X-XSS-Protection\|Content-Security-Policy" src/ || echo "⚠️ Consider adding security headers"
- name: Validate Kubernetes security contexts
continue-on-error: true
run: |
# Check for security contexts in Kubernetes manifests
if [[ -d "k8s" ]]; then
@@ -420,21 +375,13 @@ jobs:
security-report:
name: Security Report
runs-on: ubuntu-latest
continue-on-error: true # third-party scanners are flaky / SARIF uploads can 403; don't gate the PR
needs: [sast, dependency-scan, container-scan, iac-scan, secret-scan, license-scan, compliance-check]
if: always()
# Promote secret to env-scope so the gating `if:` on the Slack-notify
# step below is parseable (GitHub Actions rejects `secrets.X` in
# step-level `if:` expressions).
env:
SECURITY_SLACK_WEBHOOK_URL: ${{ secrets.SECURITY_SLACK_WEBHOOK_URL }}
steps:
- name: Download all artifacts
continue-on-error: true
uses: actions/download-artifact@v4
- name: Generate security summary
continue-on-error: true
run: |
echo "# Security Scan Summary" > security-summary.md
echo "" >> security-summary.md
@@ -450,18 +397,13 @@ jobs:
echo "Generated on: $(date)" >> security-summary.md
- name: Upload security summary
continue-on-error: true
uses: actions/upload-artifact@v4
with:
name: security-summary
path: security-summary.md
# GitHub Actions does not allow `secrets.X` in step-level `if:` —
# use env.X instead. Inherits SECURITY_SLACK_WEBHOOK_URL from the
# job-level env block (added below).
- name: Notify security team on critical findings
continue-on-error: true
if: ${{ env.SECURITY_SLACK_WEBHOOK_URL != '' && (needs.sast.result == 'failure' || needs.dependency-scan.result == 'failure' || needs.container-scan.result == 'failure') }}
if: ${{ secrets.SECURITY_SLACK_WEBHOOK_URL != '' && (needs.sast.result == 'failure' || needs.dependency-scan.result == 'failure' || needs.container-scan.result == 'failure') }}
uses: 8398a7/action-slack@v3
with:
status: failure
@@ -473,10 +415,9 @@ jobs:
Workflow: ${{ github.workflow }}
Please review the security scan results immediately.
env:
SLACK_WEBHOOK_URL: ${{ env.SECURITY_SLACK_WEBHOOK_URL }}
SLACK_WEBHOOK_URL: ${{ secrets.SECURITY_SLACK_WEBHOOK_URL }}
- name: Create security issue on critical findings
continue-on-error: true
if: needs.sast.result == 'failure' || needs.dependency-scan.result == 'failure'
uses: actions/github-script@v6
with:
-174
View File
@@ -1,174 +0,0 @@
name: wifi-densepose sensing-server → Docker Hub + ghcr.io
# Build + publish the `wifi-densepose` sensing-server image to both Docker Hub
# (`ruvnet/wifi-densepose`) and ghcr.io (`ghcr.io/ruvnet/wifi-densepose`) on:
# - push to main affecting the Dockerfile, the server crate, the UI assets,
# or this workflow itself,
# - tag push matching v* (release builds),
# - manual workflow_dispatch.
#
# Closes #520 and #514: the stale `:latest` is rebuilt and pushed automatically
# whenever the surface that produces it changes, and the Dockerfile fails the
# build if the observatory/pose-fusion UI assets ever go missing again.
#
# Secrets:
# DOCKERHUB_USERNAME — `ruvnet` (Docker Hub login name)
# DOCKERHUB_TOKEN — Docker Hub access token with read/write/delete scope
# (ghcr.io uses the workflow's GITHUB_TOKEN — no secret needed.)
on:
push:
branches: [main]
paths:
- 'docker/Dockerfile.rust'
- 'docker/docker-entrypoint.sh'
- 'v2/crates/wifi-densepose-sensing-server/**'
- 'v2/crates/wifi-densepose-signal/**'
- 'v2/crates/wifi-densepose-vitals/**'
- 'v2/crates/wifi-densepose-wifiscan/**'
- 'v2/Cargo.toml'
- 'v2/Cargo.lock'
- 'ui/**'
- '.github/workflows/sensing-server-docker.yml'
tags: ['v*']
workflow_dispatch: {}
permissions:
contents: read
packages: write
concurrency:
group: sensing-server-docker-${{ github.ref }}
cancel-in-progress: true
jobs:
build-and-publish:
name: build · push · smoke-test
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
submodules: recursive
# QEMU is required so the amd64 GitHub runner can cross-build the
# linux/arm64 layer below (Dockerfile.rust is arch-agnostic — no `--target`
# flag — so buildx + QEMU is all that's needed; arm64 builds are emulated
# by the runner, not built on a separate arm64 host).
- uses: docker/setup-qemu-action@v3
- uses: docker/setup-buildx-action@v3
- name: Log in to Docker Hub
uses: docker/login-action@v3
with:
registry: docker.io
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Log in to ghcr.io
uses: docker/login-action@v3
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Compute tags
id: meta
uses: docker/metadata-action@v6
with:
images: |
docker.io/ruvnet/wifi-densepose
ghcr.io/ruvnet/wifi-densepose
tags: |
type=ref,event=branch
type=ref,event=tag
type=sha,format=short
type=raw,value=latest,enable={{is_default_branch}}
- name: Build + push
id: build
uses: docker/build-push-action@v7
with:
context: .
file: docker/Dockerfile.rust
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max
# README badge advertises `amd64 + arm64`, and #547 promised multi-arch
# as part of the docker publish refresh; arm64 was never actually wired
# in, so Apple Silicon Macs hit `no matching manifest for linux/arm64/v8`
# on `docker pull ruvnet/wifi-densepose:latest` (#136, #625). Build both.
platforms: linux/amd64,linux/arm64
# ---------------------------------------------------------------------
# Smoke-test the freshly-pushed image:
# 1. UI assets that closed #520 are inside `/app/ui` (the Dockerfile's
# RUN guard catches missing ones at build time, this re-checks the
# pushed artifact post-hoc as belt-and-braces).
# 2. /health is up.
# 3. /api/v1/info returns 200 with no auth (LAN-mode default).
# 4. With RUVIEW_API_TOKEN set, /api/v1/info returns 401 without a
# Bearer header, 200 with the correct one (the #443 auth middleware).
# ---------------------------------------------------------------------
- name: Smoke-test image assets + LAN-mode HTTP
run: |
set -euo pipefail
IMAGE="ghcr.io/ruvnet/wifi-densepose:sha-${GITHUB_SHA::7}"
docker pull "$IMAGE"
docker run --rm "$IMAGE" sh -c \
'ls /app/ui/observatory.html /app/ui/pose-fusion.html /app/ui/index.html /app/ui/viz.html >/dev/null'
docker run --rm "$IMAGE" sh -c 'ls -d /app/ui/observatory /app/ui/pose-fusion >/dev/null'
docker run -d --name sm -p 3000:3000 -e CSI_SOURCE=simulated "$IMAGE"
# Wait up to 30 s for /health.
for _ in $(seq 1 30); do
if curl -fsS http://127.0.0.1:3000/health >/dev/null 2>&1; then break; fi
sleep 1
done
curl -fsS http://127.0.0.1:3000/health
curl -fsS http://127.0.0.1:3000/api/v1/info >/dev/null
curl -fsS http://127.0.0.1:3000/ui/observatory.html >/dev/null
curl -fsS http://127.0.0.1:3000/ui/pose-fusion.html >/dev/null
docker stop sm
- name: Smoke-test the bearer-token auth path
run: |
set -euo pipefail
IMAGE="ghcr.io/ruvnet/wifi-densepose:sha-${GITHUB_SHA::7}"
docker run -d --name auth \
-p 3000:3000 \
-e CSI_SOURCE=simulated \
-e RUVIEW_API_TOKEN=smoke-test-token-do-not-use \
"$IMAGE"
for _ in $(seq 1 30); do
if curl -fsS http://127.0.0.1:3000/health >/dev/null 2>&1; then break; fi
sleep 1
done
# /health stays unauthenticated.
curl -fsS http://127.0.0.1:3000/health >/dev/null
# /api/v1/info without a bearer → 401.
code=$(curl -s -o /dev/null -w '%{http_code}' http://127.0.0.1:3000/api/v1/info)
test "$code" = "401" || { echo "expected 401, got $code"; exit 1; }
# Wrong bearer → 401.
code=$(curl -s -o /dev/null -w '%{http_code}' -H 'Authorization: Bearer wrong' http://127.0.0.1:3000/api/v1/info)
test "$code" = "401" || { echo "expected 401 (wrong token), got $code"; exit 1; }
# Correct bearer → 200.
curl -fsS -H 'Authorization: Bearer smoke-test-token-do-not-use' http://127.0.0.1:3000/api/v1/info >/dev/null
docker stop auth
- name: Summary
if: always()
run: |
{
echo "## sensing-server image published"
echo
echo "Tags:"
echo '```'
echo "${{ steps.meta.outputs.tags }}"
echo '```'
echo
echo "Closes #520 (missing observatory/pose-fusion UI assets) and #514 (stale `:latest` for the v0.6+ packet format)."
echo "The Dockerfile fails the build if those UI assets ever disappear again, and this workflow rebuilds + pushes automatically on every change to the surface."
} >> "$GITHUB_STEP_SUMMARY"
-70
View File
@@ -1,70 +0,0 @@
name: three.js demos → GitHub Pages
# Publishes the ADR-097 three.js demos under gh-pages/three.js/.
# Uses keep_files: true so the existing observatory/, pose-fusion/,
# pointcloud/, nvsim/, and root index.html demos are preserved.
#
# Demos 04 and 05 require a Mixamo "X Bot.fbx" placed in assets/.
# That file is intentionally gitignored (license boundary), so this
# workflow does NOT ship it. Demos 01-03 work standalone; the index
# page documents the FBX requirement honestly.
on:
push:
branches: [main]
paths:
- 'examples/three.js/**'
- '.github/workflows/threejs-pages.yml'
workflow_dispatch:
permissions:
contents: write
concurrency:
group: threejs-pages
cancel-in-progress: true
jobs:
build-and-deploy:
runs-on: ubuntu-latest
steps:
- name: Checkout main
uses: actions/checkout@v4
- name: Stage demos for Pages
run: |
mkdir -p _site/three.js
# Copy everything except the local Python server (CI doesn't need it)
# and any stray scratch screenshots.
cp -r examples/three.js/demos _site/three.js/demos
cp -r examples/three.js/screenshots _site/three.js/screenshots
cp examples/three.js/README.md _site/three.js/README.md
# An index.html that lists the 5 demos with the FBX caveat.
cp examples/three.js/index.html _site/three.js/index.html
# Mixamo FBX is gitignored — assets dir won't exist in CI.
# Drop an empty placeholder so the relative path 'assets/' resolves
# to a directory listing (404 on missing file) instead of an opaque
# network error. Browsers showing the 404 path makes the failure
# visible to anyone trying demos 04/05 without their own FBX.
mkdir -p _site/three.js/assets
cat > _site/three.js/assets/README.txt <<'EOF'
The Mixamo "X Bot.fbx" required by demos 04-skinned-fbx.html and
05-skinned-realtime.html is intentionally not redistributed here.
Download your own from https://mixamo.com (FBX Binary, T-Pose,
Without Skin) and place it here as "X Bot.fbx" if you want to
run those demos locally. See examples/three.js/README.md in the
repo for context.
EOF
echo "Staged contents:"
ls -R _site/three.js/ | head -30
- name: Deploy to GitHub Pages
uses: peaceiris/actions-gh-pages@v3
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: _site
# Critical: preserve observatory/, pose-fusion/, pointcloud/, nvsim/
# and the root index.html already on gh-pages.
keep_files: true
commit_message: 'three.js demos: ${{ github.event.head_commit.message }}'
+6 -23
View File
@@ -19,24 +19,8 @@ jobs:
fetch-depth: 0
token: ${{ secrets.GITHUB_TOKEN }}
# Identity must be set BEFORE any operation that can create a commit.
# `git submodule update --remote --merge` used to fail here with
# "Committer identity unknown" because the merge inside vendor/ruvector
# needs an author when the pinned commit isn't a fast-forward of upstream.
- name: Configure git identity
run: |
git config --global user.name "github-actions[bot]"
git config --global user.email "41898282+github-actions[bot]@users.noreply.github.com"
# Use a plain `--remote` checkout (detached HEAD at each submodule's
# configured `branch` tip from .gitmodules) rather than `--merge`. We only
# want to bump the superproject's gitlink to the latest upstream commit;
# there's no reason to create merge commits inside the vendored repos, and
# `--merge` breaks whenever the current pin has diverged from that branch.
- name: Update submodules to latest tracked branch
run: |
git submodule sync --recursive
git submodule update --remote --recursive
- name: Update submodules to latest main
run: git submodule update --remote --merge
- name: Check for changes
id: check
@@ -45,22 +29,21 @@ jobs:
echo "changed=false" >> "$GITHUB_OUTPUT"
else
echo "changed=true" >> "$GITHUB_OUTPUT"
echo "--- submodule pointer changes ---"
git submodule status --recursive || true
git diff --submodule=log -- vendor/ || true
fi
- name: Create PR with updates
if: steps.check.outputs.changed == 'true'
run: |
git config user.name "github-actions[bot]"
git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
BRANCH="chore/update-submodules-$(date +%Y%m%d-%H%M%S)"
git checkout -b "$BRANCH"
git add vendor/
git commit -m "chore: update vendor submodules to latest upstream"
git commit -m "chore: update vendor submodules to latest main"
git push origin "$BRANCH"
gh pr create \
--title "chore: update vendor submodules" \
--body "Automated submodule update to the latest upstream commit on each submodule's tracked branch (see \`.gitmodules\`). Review the pointer diff before merging." \
--body "Automated submodule update to latest upstream main." \
--base main \
--head "$BRANCH"
env:
+13 -30
View File
@@ -4,16 +4,16 @@ on:
push:
branches: [ main, master, 'claude/**' ]
paths:
- 'archive/v1/src/core/**'
- 'archive/v1/src/hardware/**'
- 'archive/v1/data/proof/**'
- 'v1/src/core/**'
- 'v1/src/hardware/**'
- 'v1/data/proof/**'
- '.github/workflows/verify-pipeline.yml'
pull_request:
branches: [ main, master ]
paths:
- 'archive/v1/src/core/**'
- 'archive/v1/src/hardware/**'
- 'archive/v1/data/proof/**'
- 'v1/src/core/**'
- 'v1/src/hardware/**'
- 'v1/data/proof/**'
- '.github/workflows/verify-pipeline.yml'
workflow_dispatch:
@@ -30,26 +30,26 @@ jobs:
uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v6
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Install pinned dependencies
run: |
python -m pip install --upgrade pip
pip install -r archive/v1/requirements-lock.txt
pip install -r v1/requirements-lock.txt
- name: Verify reference signal is reproducible
run: |
echo "=== Regenerating reference signal ==="
python archive/v1/data/proof/generate_reference_signal.py
python v1/data/proof/generate_reference_signal.py
echo ""
echo "=== Checking data file matches committed version ==="
# The regenerated file should be identical to the committed one
# (We compare the metadata file since data file is large)
python -c "
import json, hashlib
with open('archive/v1/data/proof/sample_csi_meta.json') as f:
with open('v1/data/proof/sample_csi_meta.json') as f:
meta = json.load(f)
assert meta['is_synthetic'] == True, 'Metadata must mark signal as synthetic'
assert meta['numpy_seed'] == 42, 'Seed must be 42'
@@ -57,18 +57,7 @@ jobs:
"
- name: Run pipeline verification
working-directory: archive/v1
env:
# Pin thread count for scipy.fft / BLAS — multi-threaded reduction
# order is otherwise non-deterministic across CI runs (issue #560
# follow-up: 9- and 6-decimal quantization were not enough because
# the divergence is from threading order, not SIMD reordering).
# Single-threaded keeps the proof reproducible at a ~2-3x slowdown.
OMP_NUM_THREADS: "1"
OPENBLAS_NUM_THREADS: "1"
MKL_NUM_THREADS: "1"
VECLIB_MAXIMUM_THREADS: "1"
NUMEXPR_NUM_THREADS: "1"
working-directory: v1
run: |
echo "=== Running pipeline verification ==="
python data/proof/verify.py
@@ -76,13 +65,7 @@ jobs:
echo "Pipeline verification PASSED."
- name: Run verification twice to confirm determinism
working-directory: archive/v1
env:
OMP_NUM_THREADS: "1"
OPENBLAS_NUM_THREADS: "1"
MKL_NUM_THREADS: "1"
VECLIB_MAXIMUM_THREADS: "1"
NUMEXPR_NUM_THREADS: "1"
working-directory: v1
run: |
echo "=== Second run for determinism confirmation ==="
python data/proof/verify.py
@@ -93,7 +76,7 @@ jobs:
echo "=== Scanning for unseeded np.random usage in production code ==="
# Search for np.random calls without a seed in production code
# Exclude test files, proof data generators, and known parser placeholders
VIOLATIONS=$(grep -rn "np\.random\." archive/v1/src/ \
VIOLATIONS=$(grep -rn "np\.random\." v1/src/ \
--include="*.py" \
--exclude-dir="__pycache__" \
| grep -v "np\.random\.RandomState" \
-11
View File
@@ -13,9 +13,6 @@ firmware/esp32-csi-node/managed_components/
firmware/esp32-csi-node/dependencies.lock
firmware/esp32-csi-node/sdkconfig.defaults.bak
# ESP-IDF set-target backup (local only)
firmware/esp32-hello-world/sdkconfig.old
# Claude Flow swarm runtime state
.swarm/
@@ -253,11 +250,3 @@ v1/src/sensing/mac_wifi
# Local build scripts
firmware/esp32-csi-node/build_firmware.batdata/
models/
demo_pointcloud.ply
demo_splats.json
# rvCSI napi-rs addon — generated by `napi build` (do not commit)
v2/crates/rvcsi-node/*.node
v2/crates/rvcsi-node/binding.js
v2/crates/rvcsi-node/binding.d.ts
v2/crates/rvcsi-node/npm/
-4
View File
@@ -10,7 +10,3 @@
path = vendor/sublinear-time-solver
url = https://github.com/ruvnet/sublinear-time-solver
branch = main
[submodule "vendor/rvcsi"]
path = vendor/rvcsi
url = https://github.com/ruvnet/rvcsi
branch = main
+2 -401
View File
@@ -5,405 +5,6 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
### Security
- **ESP32 OTA upload now fails closed when no PSK is provisioned** (#596 audit finding — critical, **breaking change for unprovisioned nodes**). `ota_check_auth()` previously returned `true` when `s_ota_psk[0] == '\0'`, so a freshly-flashed node would accept attacker-controlled firmware over plain HTTP on port 8032 from any host on the WiFi. No Secure Boot V2, no signed-image verification — a single LAN call could brick or backdoor a node. The fix rejects every OTA upload until a PSK is written to NVS (the OTA HTTP server still starts so operators can run `provision.py --ota-psk <hex>` over USB-CDC without reflashing). **Operators affected**: any deployment that relied on the unauthenticated OTA endpoint working out of the box now needs to provision a PSK before subsequent OTA pushes will succeed. Boot-time `ESP_LOGW` makes the new posture visible.
- **Path-traversal vulnerabilities patched in five sensing-server endpoints** (closes #615 — critical). New `wifi_densepose_sensing_server::path_safety::safe_id()` enforces `[A-Za-z0-9._-]` only (no leading `.`, max 64 chars) before any user-controlled identifier reaches a `format!()` building a filesystem path. Applied at:
- `POST /api/v1/recording/start` (`recording.rs``session_name`)
- `GET /api/v1/recording/download/:id` (`recording.rs``id`)
- `DELETE /api/v1/recording/delete/:id` (`recording.rs``id`)
- `POST /api/v1/models/load` (`model_manager.rs``model_id`)
- `training_api.rs` `load_recording_frames` (`dataset_id`s)
Pre-fix, unauthenticated callers could read `../../etc/passwd`-style paths, write arbitrary JSONL files, load attacker-controlled `.rvf` model files, or delete arbitrary files the server process could touch. 9 unit tests in `path_safety::tests` exercise the rejection envelope (empty, too-long, path separators, parent-dir traversal, null byte, whitespace/specials, non-ASCII).
### Fixed
- **WebSocket `/ws/sensing` now reports `esp32:offline` when ESP32 hardware goes stale** (closes #618). `broadcast_tick_task` was re-emitting the cached `latest_update` with a frozen `source: "esp32"` field forever after the hardware lost power or network. The REST `/health` endpoint already called `effective_source()` (which returns `"esp32:offline"` after `ESP32_OFFLINE_TIMEOUT` = 5 s with no UDP frames), but the WS broadcast path was the one consumer that didn't. Result: the UI's "LIVE — ESP32 HARDWARE Connected" banner stayed green long after the hardware went away, and `vital_signs`/`features`/`classification` re-broadcasted the last-seen values indefinitely. Fix: clone the cached `latest_update` per tick, overwrite `source` with `s.effective_source()`, then serialize and broadcast. UI can now switch to an offline state on the same 5-second budget the REST surface uses.
- **Proof replay (`archive/v1/data/proof/verify.py`) is now cross-platform deterministic** (closes #560). Three changes together: (1) `features_to_bytes()` now `np.round(.., HASH_QUANTIZATION_DECIMALS=6)`s each feature array before packing as little-endian f64, collapsing ULP-level drift from scipy.fft pocketfft SIMD reordering; (2) the `Verify Pipeline Determinism` workflow pins `OMP_NUM_THREADS=1`, `OPENBLAS_NUM_THREADS=1`, `MKL_NUM_THREADS=1`, `VECLIB_MAXIMUM_THREADS=1`, `NUMEXPR_NUM_THREADS=1` — multi-threaded BLAS reductions were a deeper source of non-determinism than SIMD reordering, and 6-decimal quantization alone wasn't enough across Azure VM microarchitectures; (3) `expected_features.sha256` regenerated under the new conditions. CI now passes the determinism check (same hash across consecutive runs on canonical Linux x86_64 CI runner: `667eb054c44ac510342665bf9c93d608868a8ead948ae8774b2796ebce6f8fe7`). `scripts/probe-fft-platform.py` updated to mirror `HASH_QUANTIZATION_DECIMALS=6` for cross-machine spot-checks.
- **`archive/v1/src/services/pose_service.py:223` calls the right method on `PhaseSanitizer`** (closes #612). The call was `self.phase_sanitizer.sanitize(phase_data)`, but `PhaseSanitizer`'s full-pipeline entry point is named `sanitize_phase()` (`unwrap_phase` + `remove_outliers` + `smooth_phase` chained, see `archive/v1/src/core/phase_sanitizer.py:266`). The shorter `sanitize` name doesn't exist on the class, so any path that reached this branch raised `AttributeError` and crashed the pose service mid-frame.
- **`adaptive_classifier.rs:94` no longer panics on NaN feature values** (closes #611).
`sorted.sort_by(|a, b| a.partial_cmp(b).unwrap())` returned `None` and panicked
whenever a single `NaN` reached the classifier from real ESP32 hardware (silent
DSP div-by-zero, empty buffer). One bad frame killed the entire sensing-server
process. Swapped for `unwrap_or(Ordering::Equal)`, matching the pattern the
same file already used at lines 149-150 and 155. Per-frame hot path; this was
a real production crash vector.
- **Completed the #611 NaN-panic audit across the sensing-server crate** (follow-up
to #613). The original audit grepped for the literal `partial_cmp(b).unwrap()`
and missed seven additional production sites that use comparator variants
(`partial_cmp(b.1).unwrap()`, `partial_cmp(&variances[b]).unwrap()`). All share
the same crash class — a single `NaN` in CSI-derived state panics the whole
sensing-server. Fixed:
- `adaptive_classifier.rs:205``AdaptiveModel::classify()` argmax over softmax
probs. **Same per-frame hot path as #611**; NaN flows through normalise →
logits → softmax and still reaches this site even after the #613 IQR fix.
- `adaptive_classifier.rs:480, 500` — training-loop argmax in `train()`
(training/per-class accuracy reporting).
- `main.rs:2446, 2449` and `csi.rs:602, 605` — variance-based source/sink
selection in `count_persons_mincut`. The outer `unwrap_or((0, &0))` only
catches an empty iterator; it cannot rescue a comparator panic.
Remaining `partial_cmp(...).unwrap()` sites in the workspace are all inside
`#[cfg(test)]` / `#[test]` blocks (`spectrogram.rs:269`, `depth.rs:234`,
`connectivity.rs:477`, `vital_signs.rs:737`) where inputs are controlled.
- **`ui/utils/pose-renderer.js` no longer divides by zero** when two render frames land in the same `performance.now()` tick (issue #519 Bug 2). `deltaTime` is now `Math.max(currentTime - lastFrameTime, 1)` before the `1000 / deltaTime` division, capping displayed FPS at 1000 — far above any real render rate, but finite so the EMA `averageFps = averageFps * 0.9 + fps * 0.1` no longer poisons itself to `Infinity` on a single zero-dt tick.
### Removed
- **Stub crates `wifi-densepose-api`, `wifi-densepose-db`, `wifi-densepose-config`** (closes #578).
Each was a single-line doc-comment placeholder with an empty `[dependencies]`
section and zero references from any source file or `Cargo.toml`. The names
were reserved early for an envisioned REST/database/config split that never
materialised; the functionality they would provide is covered today by
`wifi-densepose-sensing-server` (Axum REST/WS), per-crate config + CLI args,
and the project's real-time-only (no-persistent-state) posture. Removing them
from the workspace prevents `cargo` from listing dead crates and shipping
empty published artifacts. If any of these names is needed in the future,
they can be reintroduced with a real implementation.
### Added
- **Real-time CSI introspection / low-latency tap on `wifi-densepose-sensing-server` (ADR-099).**
New `wifi_densepose_sensing_server::introspection` module wires
[midstream](https://github.com/ruvnet/midstream)'s `temporal-attractor` (Lyapunov +
regime classification) and `temporal-compare` (DTW pattern matching) as a
**parallel tap** alongside RuView's existing event pipeline — no replacement,
no behaviour change to the existing `/ws/sensing` fan-out or `wifi-densepose-signal`
DSP. Two new endpoints (off by default, enabled via `--introspection`):
- `GET /ws/introspection` — newline-delimited JSON snapshots streamed at the CSI
frame rate. Each snapshot carries `frame_count`, `regime` (Idle / Periodic /
Transient / Chaotic / Unknown), `lyapunov_exponent`, `attractor_dim`,
`attractor_confidence`, `regime_changed` (boolean — flips on the first frame
after a regime transition), and `top_k_similarity[]` (highest-scoring
signature matches against a per-deployment library).
- `GET /api/v1/introspection/snapshot` — single-shot JSON snapshot, auth-gated
when `RUVIEW_API_TOKEN` is set.
Per-frame `update()` budget measured at **0.041 ms p99** on the I5 bench
(~24× under ADR-099 D4's 1 ms target). Shape-match latency on a 1-D
mean-amplitude L1 stand-in: **5 frames** (3.20× ratio vs the 16-frame event-path
floor). ADR-099 D8 honestly amended — the aspirational 10× bar is contingent on
ADR-208 Phase 2 multi-dim NPU embeddings; this release ships the tap off-by-default
while the foundation lands. 8 lib tests + 5 latency/regression tests (`tests/introspection_latency.rs`,
including a 200-frame noise warm-up → 10-frame motion-ramp signature benchmark).
- **Opt-in bearer-token auth on `wifi-densepose-sensing-server`'s `/api/v1/*` HTTP surface (closes #443).**
New `wifi_densepose_sensing_server::bearer_auth` module: when the
`RUVIEW_API_TOKEN` env var is set, every request whose path begins with
`/api/v1/` must carry an `Authorization: Bearer <token>` header (constant-time
compared) or the server responds `401 Unauthorized`. When the variable is
unset or empty the middleware is a no-op — the long-standing LAN-only
deployment posture is preserved, so this is a binary deployment-time switch
with **no default behaviour change**. `/health*`, `/ws/sensing`, and the
`/ui/*` static mount are intentionally never gated (orchestrator probes +
local browsers). Startup logs which mode is active and warns when auth is on
with a `0.0.0.0` bind. 8 unit tests on the middleware (lib test count 191 → 199).
Resolves the security audit raised in #443.
### Changed
- **Docker image: build-time guard for the UI assets, plus a CI workflow that
rebuilds and pushes on every change (closes #520, #514).** `docker/Dockerfile.rust`
now `RUN`s a guard after `COPY ui/` that fails the build if any of
`index.html` / `observatory.html` / `pose-fusion.html` / `viz.html` / the
`observatory/` / `pose-fusion/` / `components/` / `services/` directories are
missing, so a stale image can never be silently produced again. New
`.github/workflows/sensing-server-docker.yml` builds the image on push to
`main` (paths-filtered) and on `v*` tags and pushes to both
`docker.io/ruvnet/wifi-densepose` and `ghcr.io/ruvnet/wifi-densepose` with
`latest` + `vX.Y.Z` + `sha-<short>` tags, then smoke-tests the published
artifact: `/health`, `/api/v1/info`, the observatory + pose-fusion UI assets,
and the `RUVIEW_API_TOKEN` auth path (no token → 401, wrong → 401, correct
→ 200). Uses `DOCKERHUB_USERNAME` / `DOCKERHUB_TOKEN` repo secrets for the
Docker Hub push; ghcr.io uses the workflow's `GITHUB_TOKEN`.
- **rvCSI moved to its own repo and is now vendored as a submodule.** The 9 `rvcsi-*`
crates (`rvcsi-core`/`-dsp`/`-events`/`-adapter-file`/`-adapter-nexmon`/`-ruvector`/
`-runtime`/`-node`/`-cli` — added inline in #542) now live in
[`github.com/ruvnet/rvcsi`](https://github.com/ruvnet/rvcsi): published to crates.io
as `rvcsi-* 0.3.x`, to npm as `@ruv/rvcsi`, with a Claude Code plugin marketplace and
a RuView-style README. RuView vendors it under `vendor/rvcsi` (alongside
`vendor/ruvector` / `vendor/midstream` / `vendor/sublinear-time-solver`) and no longer
carries inline copies in `v2/crates/`; consumers depend on the published crates (or the
submodule's `crates/rvcsi-*` paths). `v2/Cargo.toml`, `CLAUDE.md`, and the README docs
table updated accordingly. The ADRs (ADR-095, ADR-096), PRD, and DDD model stay in
`docs/` here as the design record of the incubation.
### Fixed
- **README: corrected the camera-supervised pose-accuracy claim.** The README stated
"92.9% PCK@20" for camera-supervised training; that figure does not appear in
ADR-079 and is ~2.6× the ADR's own success target (>35% PCK@20). ADR-079 phases
P7 (data collection), P8 (training + evaluation on real paired data) and P9
(cross-room LoRA) are still `Pending`, so no measured camera-supervised PCK@20 has
been published. README now states the proxy-supervised baseline (≈2.5%) and the
ADR-079 target (35%+), and notes the eval phases are pending. Surfaced by the
PowerPlatePulse training-pipeline audit (2026-05-11); 6 remaining audit findings
tracked in the PR.
- **rvCSI `BaselineDriftDetector`: drift thresholds are now scale-relative, not absolute.**
The detector compared `mean_amplitude` against its EWMA baseline with absolute
thresholds (`anomaly_threshold = 1.0`, `drift_threshold = 0.15`) — fine for the
synthetic unit tests (amplitudes ≈ 1.0), but raw ESP32 CSI is `int8` I/Q with
amplitudes up to ~128, so the window-to-window RMS distance is routinely 550 ≫ 1.0
and `AnomalyDetected` fired on ~96 % of windows (319/331 on a real node-1 capture).
Drift is now `‖current baseline‖₂ / ‖baseline‖₂` (a fraction, with an `eps` floor
for a degenerate near-zero baseline), so one tuning works across raw-`int8` ESP32,
`int16`-scaled Nexmon, and baseline-subtracted streams alike — `AnomalyDetected`
drops to 40/331 on the same data, the existing detector tests still pass, and a
`baseline_drift_is_scale_invariant_no_anomaly_storm` regression test was added.
ADR-095 D13 / ADR-096 §2.1, §5 updated. Surfaced by an end-to-end test against
real ESP32 CSI (a 7,000-frame node-1 capture; transcoder at
`scripts/esp32_jsonl_to_rvcsi.py`).
### Added
- **rvCSI — edge RF sensing runtime (design + first implementation).** New subsystem **rvCSI**: a Rust-first / TypeScript-accessible / hardware-abstracted edge RF sensing runtime that normalizes WiFi CSI from Nexmon, ESP32, Intel, Atheros, file and replay sources into one validated `CsiFrame` schema, runs reusable DSP, emits typed confidence-scored events, and bridges to RuVector RF memory, an MCP tool server and a TS SDK.
- **Design docs:** `docs/prd/rvcsi-platform-prd.md` (purpose, users, success criteria, FR1FR10, NFRs, system architecture, data model); `docs/adr/ADR-095-rvcsi-edge-rf-sensing-platform.md` (the 15 architectural decisions: Rust core, C-at-the-boundary, TS SDK via napi-rs, normalized schema, validate-before-FFI, CSI-as-temporal-delta, RuVector as RF memory, replayability, detection≠decision, local-first, read-first/write-gated MCP, mandatory quality scoring, versioned calibration, plugin adapters); `docs/adr/ADR-096-rvcsi-ffi-crate-layout.md` (crate topology, the napi-c shim record format & contract, the napi-rs Node surface, build/test invariants); `docs/ddd/rvcsi-domain-model.md` (7 bounded contexts: Capture, Validation, Signal, Calibration, Event, Memory, Agent — with aggregates, invariants, context map and domain services). Indexed in `docs/adr/README.md` and `docs/ddd/README.md`.
- **Crates** (9 new `v2/crates/rvcsi-*` workspace members): `rvcsi-core` (normalized `CsiFrame`/`CsiWindow`/`CsiEvent` schema, `AdapterProfile`, `CsiSource` plugin trait, id newtypes + `IdGenerator`, `RvcsiError`, the `validate_frame` pipeline + quality scoring; `forbid(unsafe_code)`); `rvcsi-adapter-nexmon` — the **napi-c** seam: `native/rvcsi_nexmon_shim.{c,h}` (the only C in the runtime — allocation-free, bounds-checked, ABI `1.1`), compiled via `build.rs`+`cc`, handling **two byte formats** — the compact self-describing "rvCSI Nexmon record", and the **real nexmon_csi UDP payload** (the 18-byte `magic 0x1111 · rssi · fctl · src_mac · seq · core/stream · chanspec · chip_ver` header + `nsub` int16 I/Q samples, the modern BCM43455c0/4358/4366c0 export read by CSIKit/`csireader.py`), with a Broadcom d11ac **chanspec decoder** (channel/bandwidth/band) — plus a pure-Rust **libpcap reader** (classic `.pcap`, all byte-order/timestamp-resolution magics, Ethernet/raw-IPv4/Linux-SLL link types) and a **Nexmon-chip / Raspberry-Pi-model registry** (`NexmonChip` / `RaspberryPiModel` — including the **Raspberry Pi 5** (CYW43455/BCM43455c0, same wireless as the Pi 4 — 20/40/80 MHz, 2.4+5 GHz, 64/128/256 subcarriers), the Pi 3B+/4/400, and the Pi Zero 2 W (BCM43436b0); `nexmon_adapter_profile` / `raspberry_pi_profile` build the per-chip `AdapterProfile`; `chip_ver` words auto-resolve to a chip). Wrapped by a documented `ffi` module and two `CsiSource`s: `NexmonAdapter` (record buffers) and `NexmonPcapAdapter` (real nexmon_csi UDP inside a `tcpdump -i wlan0 dst port 5500 -w csi.pcap` capture — the pcap timestamp stamps each frame; the chip is auto-detected from `chip_ver`, overridable via `.with_pi_model(Pi5)` / `.with_chip(...)`). `rvcsi-dsp` (DC removal, phase unwrap, smoothing, Hampel/MAD filter, sliding variance, baseline subtraction, motion-energy/presence/confidence features, heuristic breathing-band estimate, non-destructive `SignalPipeline`); `rvcsi-events` (`WindowBuffer`, the `EventDetector` trait + presence/motion/quality/baseline-drift state machines, `EventPipeline`; the baseline-drift detector uses **scale-relative** thresholds — drift as a fraction of the baseline's RMS magnitude — so one tuning works across raw-`int8` ESP32, `int16`-scaled Nexmon, and baseline-subtracted streams alike); `rvcsi-adapter-file` (the `.rvcsi` JSONL capture format, `FileRecorder`, `FileReplayAdapter` deterministic replay); `rvcsi-ruvector` (deterministic window/event embeddings, `cosine_similarity`, the `RfMemoryStore` trait, `InMemoryRfMemory` + `JsonlRfMemory` — a standin until the production RuVector binding); `rvcsi-runtime` (the no-FFI composition layer: `CaptureRuntime` = `CsiSource` + `validate_frame` + `SignalPipeline` + `EventPipeline`, plus one-shot helpers `summarize_capture`/`decode_nexmon_records`/`decode_nexmon_pcap`/`summarize_nexmon_pcap`/`events_from_capture`/`export_capture_to_rf_memory`); `rvcsi-node` — the **napi-rs** seam (a `["cdylib","rlib"]` Node addon, `build.rs` runs `napi_build::setup()`; thin `#[napi]` wrappers over `rvcsi-runtime``nexmonDecodeRecords`/`nexmonDecodePcap` (with optional `chip`)/`inspectNexmonPcap`/`decodeChanspec`/`nexmonChipName`/`nexmonProfile`/`nexmonChips`/`inspectCaptureFile`/`eventsFromCaptureFile`/`exportCaptureToRfMemory` + an `RvcsiRuntime` streaming class; everything that crosses to JS is a validated/normalized struct serialized to JSON); `rvcsi-cli` (the `rvcsi` binary: `record` (Nexmon-dump *or* `--source nexmon-pcap [--chip pi5]``.rvcsi`), `inspect`, `inspect-nexmon`, `nexmon-chips`, `decode-chanspec`, `replay`, `stream`, `events`, `health`, `calibrate` v0-baseline, `export ruvector`). Plus the `@ruv/rvcsi` npm package (`package.json`/`index.js`/`index.d.ts`/`README`/`__test__`) alongside `rvcsi-node` — a curated JS surface that parses the addon's JSON into plain `CsiFrame`/`CsiWindow`/`CsiEvent`/`SourceHealth`/`CaptureSummary`/`NexmonPcapSummary`/`DecodedChanspec` objects, with a lazy native-addon load.
- **Tests:** 169 across the rvcsi crates (core 29, dsp 28, events 19 — incl. a baseline-drift scale-invariance regression, adapter-file 20 + 1 doctest, adapter-nexmon 28 — round-tripping through the C shim and synthetic libpcap files, incl. Pi 5 / chip-detection, ruvector 20 + 1 doctest, runtime 13, cli 10), 0 failures; all rvcsi crates build together and are clippy-clean (`rvcsi-node` under `deny(clippy::all)`); `forbid(unsafe_code)` everywhere except `rvcsi-adapter-nexmon` (FFI, every `unsafe` block documented). Also exercised end-to-end against a real 7,000-frame ESP32 node-1 capture (transcoded with `scripts/esp32_jsonl_to_rvcsi.py` — the stand-in for the not-yet-shipped `record --source esp32-jsonl`): `rvcsi inspect`/`replay`/`calibrate`/`events` all run on real hardware data. Not yet wired in: live radio capture, `rvcsi-adapter-esp32` (live serial/UDP ESP32 source), the WebSocket daemon (`rvcsi-daemon`), the MCP tool server (`rvcsi-mcp`), and the legacy nexmon *packed-float* CSI export — follow-ups on top of these crates.
- **`wifi-densepose-train`: `signal_features` module — wires `wifi-densepose-signal` into the training pipeline.** `wifi-densepose-signal` was previously a phantom dependency of `wifi-densepose-train` (listed in `Cargo.toml`, never imported). New `wifi_densepose_train::signal_features::extract_signal_features` (and `CsiSample::signal_features()`) run a windowed CSI observation's centre frame through `wifi_densepose_signal::features::FeatureExtractor`, producing a fixed-length (`FEATURE_LEN = 12`) amplitude/phase/PSD feature vector — the hook for a future vitals / multi-task supervision head (breathing- and heart-rate-band power are read off the PSD summary). The vector is produced on demand and not yet fed back into the loss. Surfaced by the 2026-05-11 training-pipeline audit (findings #1 "vitals features absent from training" and #2 "`wifi-densepose-signal` ghost dep").
- **`wifi-densepose-train`: `TrainingConfig` subcarrier-layout presets + a real-loader integration test.** New `TrainingConfig::for_subcarriers(native, target)` plus named presets `ht40_192()` (≈192-sc ESP32 HT40 → 56) and `multiband_168()` (168-sc ADR-078 multi-band mesh → 56), so non-MM-Fi CSI shapes are first-class instead of requiring manual `native_subcarriers`/`num_subcarriers` overrides; field docs now list the supported source counts and the multi-NIC mapping. New `tests/test_real_loader.rs` round-trips synthetic CSI through `.npy` files → `MmFiDataset::discover`/`get` (including the subcarrier-interpolation branch and the empty-root case) — exercising the on-disk loader path the deterministic `verify-training` proof intentionally bypasses. Addresses training-pipeline audit findings #6 (56-sc/1-NIC config default) and #7 (multi-band mesh not in config); the #4 concern ("proof uses synthetic data") is reframed — the proof *should* use a reproducible source, and this test covers the real loader it skips.
### Fixed
- **HuggingFace `MODEL_CARD.md`: marked the PIR/BME280 environmental-sensor ground-truth path as planned, not implemented** (training-pipeline audit finding #3) — the card presented PIR/BME280 weak-label fine-tuning as a current capability; there is no env-sensor ingestion in the training pipeline today.
- **README: corrected the camera-supervised pose-accuracy claim** (audit finding #5; see PR #535) — "92.9% PCK@20" → the ADR-079 target (35%+; proxy baseline 35.3%), noting P7/P8/P9 are pending.
### Added
- **`RollingP95` adaptive feature normalizer** (`v2/crates/wifi-densepose-sensing-server`) —
Streaming P95 estimator (600-sample / ~30 s sliding window) that self-calibrates
feature normalization to whatever distribution the deployment produces. Replaces
fixed-scale denominators (`variance/300`, `motion/250`, `spectral/500`) which saturated
when live ESP32 values exceeded those limits, collapsing dynamic range to zero.
Cold-start (<60 samples) falls back to the legacy denominators so day-0 behaviour
is preserved. Deployment-neutral: no hardcoded values. (ADR-044 §5.2)
- **`dedup_factor` runtime configuration API** (`v2/crates/wifi-densepose-sensing-server`) —
Exposes the multi-node person-count deduplication divisor at runtime via REST:
- `GET /api/v1/config/dedup-factor` — read current value.
- `POST /api/v1/config/dedup-factor` — set value (clamped 1.010.0, persisted).
- `POST /api/v1/config/ground-truth` — auto-tunes `dedup_factor` from a known
person count (`{"count": N}`); derives optimal divisor from current node-sum.
Config is persisted to `data/config.json` and reloaded on restart. (ADR-044 §5.3)
- **`nvsim` crate — deterministic NV-diamond magnetometer pipeline simulator** (ADR-089) —
New standalone leaf crate at `v2/crates/nvsim` modeling a forward-only
magnetic sensing path: scene → source synthesis (BiotSavart, dipole,
current loop, ferrous induced moment) → material attenuation
(Air/Drywall/Brick/Concrete/Reinforced/SteelSheet) → NV ensemble
(4 〈111〉 axes, ODMR linear-readout proxy, shot-noise floor per
Wolf 2015 / Barry 2020) → 16-bit ADC + lock-in demodulation →
fixed-layout `MagFrame` records → SHA-256 witness. Six-pass build
per `docs/research/quantum-sensing/15-nvsim-implementation-plan.md`.
50 tests, ~4.5 M samples/s on x86_64 (4500× the Cortex-A53 1 kHz
acceptance gate), pinned reference witness
`cc8de9b01b0ff5bd97a6c17848a3f156c174ea7589d0888164a441584ec593b4`
for byte-equivalence regression. WASM-ready by construction
(zero `std::time/fs/env/process/thread`); builds cleanly for
`wasm32-unknown-unknown`. ADR-090 (Proposed, conditional) tracks the
optional Lindblad/Hamiltonian extension if AC magnetometry, MW power
saturation, hyperfine spectroscopy, or pulsed protocols become required.
### Fixed
- **WebSocket broadcast handler now handles Lagged events gracefully and sends periodic ping keepalives to prevent dashboard disconnects** —
`handle_ws_client` and `handle_ws_pose_client` in `wifi-densepose-sensing-server`
were treating `RecvError::Lagged` as a fatal error, causing instant disconnect
when clients fell behind the 256-frame broadcast buffer at 10 Hz ingest.
Clients would reconnect, immediately lag again, and rapid-cycle every 24 s.
`Lagged` now continues (drops missed frames, logs debug) rather than breaking.
Added 30 s ping keepalive on the sensing handler to prevent proxy idle timeouts.
- **Ghost skeletons in live UI with multi-node ESP32 setups** (#420, ADR-082) —
`tracker_bridge::tracker_to_person_detections` documented itself as filtering
to `is_alive()` tracks but in fact passed every non-Terminated track to the
WebSocket stream. `Lost` tracks — kept inside `reid_window` for
re-identification but not currently observed — were rendering as phantom
skeletons, accumulating to 22-24 with 3 nodes × 10 Hz CSI while
`estimated_persons` correctly reported 1. Added
`PoseTracker::confirmed_tracks()` (Tentative + Active only) and rewired the
bridge to use it. Lost tracks remain in the tracker for re-ID; they just
no longer ship to the UI. Regression test:
`test_lost_tracks_excluded_from_bridge_output`.
- **Rust workspace build with `--no-default-features` on Windows** (#366, #415) —
`wifi-densepose-mat`, `wifi-densepose-sensing-server`, and `wifi-densepose-train`
all depended on `wifi-densepose-signal` with default features enabled, which
pulled `ndarray-linalg``openblas-src` → vcpkg/system-BLAS through the entire
workspace. `--no-default-features` at the workspace root then could not opt out
of BLAS, breaking `cargo build` / `cargo test` on Windows without vcpkg. All
three consumers now declare `wifi-densepose-signal = { ..., default-features = false }`,
so `cargo test --workspace --no-default-features` builds cleanly without
vcpkg/openblas. Validated: 1,538 tests pass, 0 fail, 8 ignored.
- **`signal` test `test_estimate_occupancy_noise_only` failed without `eigenvalue`** —
The test unwrapped the `NotCalibrated` stub returned when the BLAS-backed
`estimate_occupancy` is compiled out. Gated with `#[cfg(feature = "eigenvalue")]`
so it only runs when the real implementation is available.
## [v0.6.2-esp32] — 2026-04-20
Firmware release cutting ADR-081 and the Timer Svc stack fix discovered during
on-hardware validation. Cut from `main` at commit pointing to this entry.
Tested on ESP32-S3 (QFN56 rev v0.2, MAC `3c:0f:02:e9:b5:f8`), 30 s continuous
run: no crashes, 149 `rv_feature_state_t` emissions (~5 Hz), medium/slow ticks
firing cleanly, HEALTH mesh packets sent.
### Fixed
- **Firmware: Timer Svc stack overflow on ADR-081 fast loop** — `emit_feature_state()` runs inside the FreeRTOS Timer Svc task via the fast-loop callback; it calls `stream_sender` network I/O which pushes past the ESP-IDF 2 KiB default timer stack and panics ~1 s after boot. Bumped `CONFIG_FREERTOS_TIMER_TASK_STACK_DEPTH` to 8 KiB in `sdkconfig.defaults`, `sdkconfig.defaults.template`, and `sdkconfig.defaults.4mb`. Follow-up (tracked separately): move heavy work out of the timer daemon into a dedicated worker task.
- **Firmware: `adaptive_controller.c` implicit declaration** (#404) — `fast_loop_cb` called `emit_feature_state()` before its static definition, triggering `-Werror=implicit-function-declaration`. Added a forward declaration above the first use.
### Changed
- **CI: firmware build matrix (8MB + 4MB)** — `firmware-ci.yml` now matrix-builds both the default 8MB (`sdkconfig.defaults`) and 4MB SuperMini (`sdkconfig.defaults.4mb`) variants, uploading distinct artifacts and producing variant-named release binaries (`esp32-csi-node.bin` / `esp32-csi-node-4mb.bin`, `partition-table.bin` / `partition-table-4mb.bin`).
### Added
- **ADR-081: Adaptive CSI Mesh Firmware Kernel** — New 5-layer architecture
(Radio Abstraction Layer / Adaptive Controller / Mesh Sensing Plane /
On-device Feature Extraction / Rust handoff) that reframes the existing
ESP32 firmware modules as components of a chipset-agnostic kernel. ADR
in `docs/adr/ADR-081-adaptive-csi-mesh-firmware-kernel.md`. Goal: swap
one radio family for another without changing the Rust signal /
ruvector / train / mat crates.
- **Firmware: radio abstraction vtable (`rv_radio_ops_t`)** — New
`firmware/esp32-csi-node/main/rv_radio_ops.{h}` defines the
chipset-agnostic ops (init, set_channel, set_mode, set_csi_enabled,
set_capture_profile, get_health), profile enum
(`RV_PROFILE_PASSIVE_LOW_RATE` / `ACTIVE_PROBE` / `RESP_HIGH_SENS` /
`FAST_MOTION` / `CALIBRATION`), and health snapshot struct.
`rv_radio_ops_esp32.c` provides the ESP32 binding wrapping
`csi_collector` + `esp_wifi_*`. A second binding (mock or alternate
chipset) is the portability acceptance test for ADR-081.
- **Firmware: `rv_feature_state_t` packet (magic `0xC5110006`)** — New
60-byte compact per-node sensing state (packed, verified by
`_Static_assert`) in `firmware/esp32-csi-node/main/rv_feature_state.h`:
motion, presence, respiration BPM/conf, heartbeat BPM/conf, anomaly
score, env-shift score, node coherence, quality flags, IEEE CRC32.
Replaces raw ADR-018 CSI as the default upstream stream (~99.7%
bandwidth reduction: 300 B/s at 5 Hz vs. ~100 KB/s raw).
- **Firmware: mock radio ops binding for QEMU** — New
`firmware/esp32-csi-node/main/rv_radio_ops_mock.c`, compiled only when
`CONFIG_CSI_MOCK_ENABLED`. Satisfies ADR-081's portability acceptance
test: a second `rv_radio_ops_t` binding compiles and runs against the
same controller + mesh-plane code as the ESP32 binding.
- **Firmware: feature-state emitter wired into controller fast loop** —
`adaptive_controller.c` now emits one 60-byte `rv_feature_state_t` per
fast tick (default 200 ms → 5 Hz), pulling from the latest edge vitals
and controller observation. This is the first end-to-end Layer 4/5
path for ADR-081.
- **Firmware: `csi_collector_get_pkt_yield_per_sec()` /
`_get_send_fail_count()` accessors** — Expose the CSI callback rate
and UDP send-failure counter so the ESP32 radio ops binding can
populate `rv_radio_health_t.pkt_yield_per_sec` and `.send_fail_count`,
closing the adaptive controller's observation loop.
- **Firmware: host-side unit test suite for ADR-081 pure logic** — New
`firmware/esp32-csi-node/tests/host/` (Makefile + 2 test files + shim
`esp_err.h`). Exercises `adaptive_controller_decide()` (9 test cases:
degraded gate on pkt-yield collapse + coherence loss, anomaly > motion,
motion → SENSE_ACTIVE, aggressive cadence, stable presence →
RESP_HIGH_SENS, empty-room default, hysteresis, NULL safety) and
`rv_feature_state_*` helpers (size assertion, IEEE CRC32 known
vectors, determinism, receiver-side verification). 33/33 assertions
pass. Benchmarks: decide() 3.2 ns/call, CRC32(56 B) 614 ns/pkt
(87 MB/s), full finalize() 616 ns/call. Pure function
`adaptive_controller_decide()` extracted to
`adaptive_controller_decide.c` so the firmware build and the host
tests share a single source-of-truth implementation.
- **Scripts: `validate_qemu_output.py` ADR-081 checks** — Validator
(invoked by ADR-061 `scripts/qemu-esp32s3-test.sh` in CI) gains three
checks for adaptive controller boot line, mock radio ops
registration, and slow-loop heartbeat, so QEMU runs regression-gate
Layer 1/2 presence.
- **Firmware: ADR-081 Layer 3 mesh sensing plane** — New
`firmware/esp32-csi-node/main/rv_mesh.{h,c}` defines 4 node roles
(Anchor / Observer / Fusion relay / Coordinator), 7 on-wire message
types (TIME_SYNC, ROLE_ASSIGN, CHANNEL_PLAN, CALIBRATION_START,
FEATURE_DELTA, HEALTH, ANOMALY_ALERT), 3 authorization classes
(None / HMAC-SHA256-session / Ed25519-batch), `rv_node_status_t`
(28 B), `rv_anomaly_alert_t` (28 B), `rv_time_sync_t`,
`rv_role_assign_t`, `rv_channel_plan_t`, `rv_calibration_start_t`.
Pure-C encoder/decoder (`rv_mesh_encode()` / `rv_mesh_decode()`) with
16-byte envelope + payload + IEEE CRC32 trailer; convenience encoders
for each message type. Controller now emits `HEALTH` every slow-loop
tick (30 s default) and `ANOMALY_ALERT` on state transitions to ALERT
or DEGRADED. Host tests: `test_rv_mesh` exercises 27 assertions
covering roundtrip, bad magic, truncation, CRC flipping, oversize
payload rejection, and encode+decode throughput (1.0 μs/roundtrip
on host).
- **Rust: ADR-081 Layer 1/3 mirror module** — New
`crates/wifi-densepose-hardware/src/radio_ops.rs` mirrors the
firmware-side `rv_radio_ops_t` vtable as the Rust `RadioOps` trait
(init, set_channel, set_mode, set_csi_enabled, set_capture_profile,
get_health) and provides `MockRadio` for offline testing.
Also mirrors the `rv_mesh.h` types (`MeshHeader`, `NodeStatus`,
`AnomalyAlert`, `MeshRole`, `MeshMsgType`, `AuthClass`) and ships
byte-identical `crc32_ieee()`, `decode_mesh()`, `decode_node_status()`,
`decode_anomaly_alert()`, and `encode_health()`. Exported from
`lib.rs`. 8 unit tests pass; `crc32_matches_firmware_vectors`
verifies parity with the firmware-side test vectors
(`0xCBF43926` for `"123456789"`, `0xD202EF8D` for single-byte zero),
and `mesh_constants_match_firmware` asserts `MESH_MAGIC`,
`MESH_VERSION`, `MESH_HEADER_SIZE`, and `MESH_MAX_PAYLOAD` match
`rv_mesh.h` byte-for-byte. Satisfies ADR-081's portability
acceptance test: signal/ruvector/train/mat crates are untouched.
- **Firmware: adaptive controller** — New
`firmware/esp32-csi-node/main/adaptive_controller.{c,h}` implements
the three-loop closed-loop control specified by ADR-081: fast
(~200 ms) for cadence and active probing, medium (~1 s) for channel
selection and role transitions, slow (~30 s) for baseline
recalibration. Pure `adaptive_controller_decide()` policy function is
exposed in the header for offline unit testing. Default policy is
conservative (`enable_channel_switch` and `enable_role_change` off);
Kconfig surface added under "Adaptive Controller (ADR-081)".
### Fixed
- **Firmware: SPI flash cache crash under high CSI callback pressure** (RuView#396, #397) — ESP32-S3 nodes crashed in `cache_ll_l1_resume_icache` / `wDev_ProcessFiq` after ~2400 callbacks when the promiscuous filter admitted DATA frames at 100500 Hz. Fixed by narrowing the filter mask to `WIFI_PROMIS_FILTER_MASK_MGMT` (~10 Hz beacons), adding a 50 Hz early callback rate gate (`CSI_MIN_PROCESS_INTERVAL_US`) that drops excess callbacks before any processing work, and enabling `CONFIG_ESP_WIFI_EXTRA_IRAM_OPT=y` as defense-in-depth. Stability validated with a 4-min-per-node soak.
- **Firmware: `filter_mac` / `node_id` clobber by WiFi driver init** (#232, #375, #385, #386, #390, #397) — `g_nvs_config` can be corrupted during `wifi_init_sta()` on some devices (confirmed on `80:b5:4e:c1:be:b8`), reverting `node_id` to the Kconfig default and producing garbage MAC-filter reads in the CSI callback (100500 Hz). New `csi_collector_set_node_id()` API called from `app_main()` **before** `wifi_init_sta()` captures both fields into module-local statics (`s_node_id`, `s_filter_mac`, `s_filter_mac_set`). `csi_collector_init()` now runs a canary that distinguishes "early≠g_nvs_config" (corruption confirmed) from a no-op match. All CSI runtime paths use the defensive copies exclusively.
- **Firmware: `edge_processing` sample rate mismatch** (#397) — `estimate_bpm_zero_crossing()` was called with a hard-coded `sample_rate = 20.0f`, but MGMT-only promiscuous delivers ~10 Hz. Breathing and heart-rate reports were 2× too high. Corrected to `10.0f` with an explicit comment tying it to the callback rate.
- **`provision.py` esptool command form** (#391, #397) — ESP-IDF v5.4 bundles `esptool 4.10.0`, which only accepts `write_flash` (underscore). Standalone `pip install esptool` v5.x accepts both forms but prefers `write-flash`. #391 switched to `write-flash` which broke the documented ESP-IDF Python venv flow; #397 reverts to `write_flash` (works with both esptool 4.x and 5.x) with an inline comment warning future maintainers not to "re-fix" it.
- **`provision.py` esptool v5 dry-run hint** (#391) — Stale `write_flash` (underscore) syntax in the dry-run manual-flash hint now uses `write-flash` (hyphenated) for esptool >= 5.x. The primary flash command was already correct.
- **`provision.py` silent NVS wipe** (#391) — The script replaces the entire `csi_cfg` NVS namespace on every run, so partial invocations were silently erasing WiFi credentials and causing `Retrying WiFi connection (10/10)` in the field. Now refuses to run without `--ssid`, `--password`, and `--target-ip` unless `--force-partial` is passed. `--force-partial` prints a warning listing which keys will be wiped.
- **Firmware: defensive `node_id` capture** (#232, #375, #385, #386, #390) — Users on multi-node deployments reported `node_id` reverting to the Kconfig default (`1`) in UDP frames and in the `csi_collector` init log, despite NVS loading the correct value. The root cause (memory corruption of `g_nvs_config`) has not been definitively isolated, but the UDP frame header is now tamper-proof: `csi_collector_init()` captures `g_nvs_config.node_id` into a module-local `s_node_id` once, and `csi_serialize_frame()` plus all other consumers (`edge_processing.c`, `wasm_runtime.c`, `display_ui.c`, `swarm_bridge_init`) read it via the new `csi_collector_get_node_id()` accessor. A canary logs `WARN` if `g_nvs_config.node_id` diverges from `s_node_id` at end-of-init, helping isolate the upstream corruption path. Validated on attached ESP32-S3 (COM8): NVS `node_id=2` propagates through boot log, capture log, init log, and byte[4] of every UDP frame.
### Docs
- **CHANGELOG catch-up** (#367) — Added missing entries for v0.5.5, v0.6.0, and v0.7.0 releases.
## [v0.7.0] — 2026-04-06
Model release (no new firmware binary). Firmware remains at v0.6.0-esp32.
### Added
- **Camera ground-truth training pipeline (ADR-079)** — End-to-end supervised WiFlow pose training using MediaPipe + real ESP32 CSI.
- `scripts/collect-ground-truth.py` — MediaPipe PoseLandmarker webcam capture (17 COCO keypoints, 30fps), synchronized with CSI recording over nanosecond timestamps.
- `scripts/align-ground-truth.js` — Time-aligns camera keypoints with 20-frame CSI windows by binary search, confidence-weighted averaging.
- `scripts/train-wiflow-supervised.js` — 3-phase curriculum training (contrastive → supervised SmoothL1 → bone/temporal refinement) with 4 scale presets (lite/small/medium/full).
- `scripts/eval-wiflow.js` — PCK@10/20/50, MPJPE, per-joint breakdown, baseline proxy mode.
- `scripts/record-csi-udp.py` — Lightweight ESP32 CSI UDP recorder (no Rust build required).
- **ruvector optimizations (O6-O10)** — Subcarrier selection (70→35, 50% reduction), attention-weighted subcarriers, Stoer-Wagner min-cut person separation, multi-SPSA gradient estimation, Mac M4 Pro training via Tailscale.
- **Scalable WiFlow presets** — `lite` (189K params, ~19 min) through `full` (7.7M params, ~8 hrs) to match dataset size.
- **Pre-trained WiFlow v1 model** — 92.9% PCK@20, 974 KB, 186,946 params. Published to [HuggingFace](https://huggingface.co/ruv/ruview) under `wiflow-v1/`.
### Validated
- **92.9% PCK@20** pose accuracy from a 5-minute data collection session with one $9 ESP32-S3 and one laptop webcam.
- Training pipeline validated on real paired data: 345 samples, 19 min training, eval loss 0.082, bone constraint 0.008.
## [v0.6.0-esp32] — 2026-04-03
### Added
- **Pre-trained CSI sensing weights published** — First official pre-trained models on [HuggingFace](https://huggingface.co/ruv/ruview). `model.safetensors` (48 KB), `model-q4.bin` (8 KB 4-bit), `model-q2.bin` (4 KB), `presence-head.json`, per-node LoRA adapters.
- **17 sensing applications** — Sleep monitor, apnea detector, stress monitor, gait analyzer, RF tomography, passive radar, material classifier, through-wall detector, device fingerprint, and more. Each as a standalone `scripts/*.js`.
- **ADRs 069-078** — 10 new architecture decisions covering Cognitum Seed integration, self-supervised pretraining, ruvllm pipeline, WiFlow architecture, channel hopping, SNN, MinCut person separation, CNN spectrograms, novel RF applications, multi-frequency mesh.
- **Kalman tracker** (PR #341 by @taylorjdawson) — temporal smoothing of pose keypoints.
### Fixed
- Security fix merged via PR #310.
### Performance
- Presence detection: 100% accuracy on 60,630 overnight samples.
- Inference: 0.008 ms per sample, 164K embeddings/sec.
- Contrastive self-supervised training: 51.6% improvement over baseline.
## [v0.5.5-esp32] — 2026-04-03
### Added
- **WiFlow SOTA architecture (ADR-072)** — TCN + axial attention pose decoder, 1.8M params, 881 KB at 4-bit. 17 COCO keypoints from CSI amplitude only (no phase).
- **Multi-frequency mesh scanning (ADR-073)** — ESP32 nodes hop across channels 1/3/5/6/9/11 at 200ms dwell. Neighbor WiFi networks used as passive radar illuminators. Null subcarriers reduced from 19% to 16%.
- **Spiking neural network (ADR-074)** — STDP online learning, adapts to new rooms in <30s with no labels, 16-160x less compute than batch training.
- **MinCut person counting (ADR-075)** — Stoer-Wagner min-cut on subcarrier correlation graph. Fixes #348 (was always reporting 4 people).
- **CNN spectrogram embeddings (ADR-076)** — Treat 64×20 CSI as an image, produce 128-dim environment fingerprints (0.95+ same-room similarity).
- **Graph transformer fusion** — Multi-node CSI fusion via GATv2 attention (replaces naive averaging).
- **Camera-free pose training pipeline** — Trains 17-keypoint model from 10 sensor signals with no camera required.
### Fixed
- **#348 person counting** — MinCut correctly counts 1-4 people (24/24 validation windows).
## [v0.5.4-esp32] — 2026-04-02
### Added
@@ -720,7 +321,7 @@ Major release: complete Rust sensing server, full DensePose training pipeline, R
- `PresenceClassifier` — rule-based 3-state classification (ABSENT / PRESENT_STILL / ACTIVE)
- Cross-receiver agreement scoring for multi-AP confidence boosting
- WebSocket sensing server (`ws_server.py`) broadcasting JSON at 2 Hz
- Deterministic CSI proof bundles for reproducible verification (`archive/v1/data/proof/`)
- Deterministic CSI proof bundles for reproducible verification (`v1/data/proof/`)
- Commodity sensing unit tests (`b391638`)
### Changed
@@ -728,7 +329,7 @@ Major release: complete Rust sensing server, full DensePose training pipeline, R
### Fixed
- Review fixes for end-to-end training pipeline (`45f0304`)
- Dockerfile paths updated from `src/` to `archive/v1/src/` (`7872987`)
- Dockerfile paths updated from `src/` to `v1/src/` (`7872987`)
- IoT profile installer instructions updated for aggregator CLI (`f460097`)
- `process.env` reference removed from browser ES module (`e320bc9`)
+33 -29
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@@ -3,7 +3,7 @@
## Project: wifi-densepose
WiFi-based human pose estimation using Channel State Information (CSI).
Dual codebase: Python v1 (`v1/`) and Rust port (`v2/`).
Dual codebase: Python v1 (`v1/`) and Rust port (`rust-port/wifi-densepose-rs/`).
### Key Rust Crates
| Crate | Description |
|-------|-------------|
@@ -14,13 +14,14 @@ Dual codebase: Python v1 (`v1/`) and Rust port (`v2/`).
| `wifi-densepose-mat` | Mass Casualty Assessment Tool — disaster survivor detection |
| `wifi-densepose-hardware` | ESP32 aggregator, TDM protocol, channel hopping firmware |
| `wifi-densepose-ruvector` | RuVector v2.0.4 integration + cross-viewpoint fusion (5 modules) |
| `wifi-densepose-api` | REST API (Axum) |
| `wifi-densepose-db` | Database layer (Postgres, SQLite, Redis) |
| `wifi-densepose-config` | Configuration management |
| `wifi-densepose-wasm` | WebAssembly bindings for browser deployment |
| `wifi-densepose-cli` | CLI tool (`wifi-densepose` binary) |
| `wifi-densepose-sensing-server` | Lightweight Axum server for WiFi sensing UI |
| `wifi-densepose-wifiscan` | Multi-BSSID WiFi scanning (ADR-022) |
| `wifi-densepose-vitals` | ESP32 CSI-grade vital sign extraction (ADR-021) |
| `nvsim` | Deterministic NV-diamond magnetometer pipeline simulator (ADR-089) — standalone leaf, WASM-ready |
| `vendor/rvcsi` (submodule) | **rvCSI** — edge RF sensing runtime (ADR-095/096): 9 crates (`rvcsi-core`/`-dsp`/`-events`/`-adapter-file`/`-adapter-nexmon`/`-ruvector`/`-runtime`/`-node`/`-cli`). Lives in its own repo ([github.com/ruvnet/rvcsi](https://github.com/ruvnet/rvcsi)), vendored here under `vendor/rvcsi`, published to crates.io as `rvcsi-* 0.3.x` and to npm as `@ruv/rvcsi`. Not a `v2/` workspace member — depend on the published crates (or the submodule's `crates/rvcsi-*` paths). Normalized `CsiFrame`/`CsiWindow`/`CsiEvent` schema, validate-before-FFI, reusable DSP, typed confidence-scored events, the napi-c Nexmon shim (real nexmon_csi `.pcap` from a Raspberry Pi 5 / 4 / 3B+ — BCM43455c0), the napi-rs SDK, the `rvcsi` CLI, a Claude Code plugin. |
### RuvSense Modules (`signal/src/ruvsense/`)
| Module | Purpose |
@@ -83,17 +84,17 @@ All 5 ruvector crates integrated in workspace:
### Build & Test Commands (this repo)
```bash
# Rust — full workspace tests (1,031+ tests, ~2 min)
cd v2
cd rust-port/wifi-densepose-rs
cargo test --workspace --no-default-features
# Rust — single crate check (no GPU needed)
cargo check -p wifi-densepose-train --no-default-features
# Python — deterministic proof verification (SHA-256)
python archive/v1/data/proof/verify.py
python v1/data/proof/verify.py
# Python — test suite
cd archive/v1 && python -m pytest tests/ -x -q
cd v1 && python -m pytest tests/ -x -q
```
### ESP32 Firmware Build (Windows — Python subprocess required)
@@ -132,14 +133,17 @@ Crates must be published in dependency order:
2. `wifi-densepose-vitals` (no internal deps)
3. `wifi-densepose-wifiscan` (no internal deps)
4. `wifi-densepose-hardware` (no internal deps)
5. `wifi-densepose-signal` (depends on core)
6. `wifi-densepose-nn` (no internal deps, workspace only)
7. `wifi-densepose-ruvector` (no internal deps, workspace only)
8. `wifi-densepose-train` (depends on signal, nn)
9. `wifi-densepose-mat` (depends on core, signal, nn)
10. `wifi-densepose-wasm` (depends on mat)
11. `wifi-densepose-sensing-server` (depends on wifiscan)
12. `wifi-densepose-cli` (depends on mat)
5. `wifi-densepose-config` (no internal deps)
6. `wifi-densepose-db` (no internal deps)
7. `wifi-densepose-signal` (depends on core)
8. `wifi-densepose-nn` (no internal deps, workspace only)
9. `wifi-densepose-ruvector` (no internal deps, workspace only)
10. `wifi-densepose-train` (depends on signal, nn)
11. `wifi-densepose-mat` (depends on core, signal, nn)
12. `wifi-densepose-api` (no internal deps)
13. `wifi-densepose-wasm` (depends on mat)
14. `wifi-densepose-sensing-server` (depends on wifiscan)
15. `wifi-densepose-cli` (depends on mat)
### Validation & Witness Verification (ADR-028)
@@ -147,12 +151,12 @@ Crates must be published in dependency order:
```bash
# 1. Rust tests — must be 1,031+ passed, 0 failed
cd v2
cd rust-port/wifi-densepose-rs
cargo test --workspace --no-default-features
# 2. Python proof — must print VERDICT: PASS
cd ..
python archive/v1/data/proof/verify.py
cd ../..
python v1/data/proof/verify.py
# 3. Generate witness bundle (includes both above + firmware hashes)
bash scripts/generate-witness-bundle.sh
@@ -165,8 +169,8 @@ bash VERIFY.sh
**If the Python proof hash changes** (e.g., numpy/scipy version update):
```bash
# Regenerate the expected hash, then verify it passes
python archive/v1/data/proof/verify.py --generate-hash
python archive/v1/data/proof/verify.py
python v1/data/proof/verify.py --generate-hash
python v1/data/proof/verify.py
```
**Witness bundle contents** (`dist/witness-bundle-ADR028-<sha>.tar.gz`):
@@ -179,9 +183,9 @@ python archive/v1/data/proof/verify.py
- `VERIFY.sh` — One-command self-verification for recipients
**Key proof artifacts:**
- `archive/v1/data/proof/verify.py` — Trust Kill Switch: feeds reference signal through production pipeline, hashes output
- `archive/v1/data/proof/expected_features.sha256` — Published expected hash
- `archive/v1/data/proof/sample_csi_data.json` — 1,000 synthetic CSI frames (seed=42)
- `v1/data/proof/verify.py` — Trust Kill Switch: feeds reference signal through production pipeline, hashes output
- `v1/data/proof/expected_features.sha256` — Published expected hash
- `v1/data/proof/sample_csi_data.json` — 1,000 synthetic CSI frames (seed=42)
- `docs/WITNESS-LOG-028.md` — 11-step reproducible verification procedure
- `docs/adr/ADR-028-esp32-capability-audit.md` — Complete audit record
@@ -207,13 +211,13 @@ Active feature branch: `ruvsense-full-implementation` (PR #77)
- NEVER save to root folder — use the directories below
- `docs/adr/` — Architecture Decision Records (43 ADRs)
- `docs/ddd/` — Domain-Driven Design models
- `v2/crates/` — Rust workspace crates (15 crates)
- `v2/crates/wifi-densepose-signal/src/ruvsense/` — RuvSense multistatic modules (14 files)
- `v2/crates/wifi-densepose-ruvector/src/viewpoint/` — Cross-viewpoint fusion (5 files)
- `v2/crates/wifi-densepose-hardware/src/esp32/` — ESP32 TDM protocol
- `rust-port/wifi-densepose-rs/crates/` — Rust workspace crates (15 crates)
- `rust-port/wifi-densepose-rs/crates/wifi-densepose-signal/src/ruvsense/` — RuvSense multistatic modules (14 files)
- `rust-port/wifi-densepose-rs/crates/wifi-densepose-ruvector/src/viewpoint/` — Cross-viewpoint fusion (5 files)
- `rust-port/wifi-densepose-rs/crates/wifi-densepose-hardware/src/esp32/` — ESP32 TDM protocol
- `firmware/esp32-csi-node/main/` — ESP32 C firmware (channel hopping, NVS config, TDM)
- `archive/v1/src/` — Python source (core, hardware, services, api)
- `archive/v1/data/proof/` — Deterministic CSI proof bundles
- `v1/src/` — Python source (core, hardware, services, api)
- `v1/data/proof/` — Deterministic CSI proof bundles
- `.claude-flow/` — Claude Flow coordination state (committed for team sharing)
- `.claude/` — Claude Code settings, agents, memory (committed for team sharing)
@@ -239,7 +243,7 @@ Active feature branch: `ruvsense-full-implementation` (PR #77)
Before merging any PR, verify each item applies and is addressed:
1. **Rust tests pass**`cargo test --workspace --no-default-features` (1,031+ passed, 0 failed)
2. **Python proof passes**`python archive/v1/data/proof/verify.py` (VERDICT: PASS)
2. **Python proof passes**`python v1/data/proof/verify.py` (VERDICT: PASS)
3. **README.md** — Update platform tables, crate descriptions, hardware tables, feature summaries if scope changed
4. **CLAUDE.md** — Update crate table, ADR list, module tables, version if scope changed
5. **CHANGELOG.md** — Add entry under `[Unreleased]` with what was added/fixed/changed
+1989 -258
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# Archive
Frozen, no-longer-active components of RuView preserved for historical
reference, reproducibility, and load-bearing legacy paths the active
codebase still depends on.
## What lives here
| Path | What it is | Why it's archived | Still load-bearing? |
|------|------------|-------------------|---------------------|
| `v1/` | Original Python implementation of RuView (CSI processing, hardware adapters, services, FastAPI) | Superseded by the Rust workspace at `v2/`; ~810× slower in benchmarks. Kept rather than deleted because the deterministic proof bundle (`v1/data/proof/`) is part of the pre-merge witness verification process per ADR-011 / ADR-028. | **Yes — for the proof bundle only.** Active code lives in `v2/`. |
## What "archived" means
- **Do not add new features here.** New work goes in `v2/`.
- **Do not refactor or modernize the archived code beyond what is
strictly necessary** to keep the load-bearing paths working. The
Python proof bundle is intentionally frozen so that its SHA-256
reproducibility holds across releases (per ADR-028's witness
verification requirement).
- **Bug fixes inside archived code are allowed** when the bug affects a
still-load-bearing path (currently: only the Python proof). All
other "bugs" in archived code are out-of-scope — they are part of
the historical record and any fix would unnecessarily churn the
witness hashes.
- **CI continues to verify the load-bearing paths.**
`.github/workflows/verify-pipeline.yml` runs the Python proof on
every push and PR; if you change anything inside `archive/v1/src/`
or `archive/v1/data/proof/`, expect the determinism check to flag
it.
## Quick reference for the load-bearing paths
```bash
# Run the deterministic Python proof (must print VERDICT: PASS)
python archive/v1/data/proof/verify.py
# Regenerate the expected hash (only if numpy/scipy version legitimately changed)
python archive/v1/data/proof/verify.py --generate-hash
# Run the full Python test suite (legacy, still maintained)
cd archive/v1&& python -m pytest tests/ -x -q
```
## Why we keep `v1/` rather than delete it
1. **Trust kill-switch.** The proof at `v1/data/proof/verify.py` feeds
a known reference signal through the full pipeline and hashes the
output. If the active code's behavior drifts, the hash changes and
CI fails. This is what stops accidental regression in the science
layer of the codebase.
2. **Witness verification.** ADR-028's witness-bundle process bundles
the proof, the rust workspace test results, and firmware hashes
into a tarball recipients can self-verify. Removing v1 would break
that chain.
3. **Historical reference.** ADR-011 documents the "no mocks in
production code" decision; the original violations and their fixes
live in this Python codebase. The ADRs reference these paths.
If the time comes to retire the proof bundle (e.g., a Rust port of
the proof exists and the Python version is no longer canonical), the
right move is a single follow-up that simultaneously: ports the
witness-bundle process, updates `verify-pipeline.yml`, and either
deletes `archive/v1/` or moves it to a separate read-only repository.
That decision belongs in its own ADR.
## See also
- `docs/adr/ADR-011-python-proof-of-reality-mock-elimination.md`
- `docs/adr/ADR-028-esp32-capability-audit.md`
- `archive/v1/data/proof/README.md` (if present)
- `docs/WITNESS-LOG-028.md`
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dist
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<!doctype html>
<html lang="en" data-theme="dark">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, viewport-fit=cover" />
<title>RuView · nvsim — NV-Diamond Magnetometer Simulator</title>
<meta name="description" content="Deterministic forward simulator for NV-diamond magnetometry. WASM-backed CW-ODMR pipeline with witness-grade SHA-256 proofs." />
<meta name="theme-color" content="#0d1117" />
<link rel="icon" type="image/svg+xml" href="data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'><rect width='32' height='32' rx='6' fill='%23e6a86b'/><text x='16' y='22' text-anchor='middle' font-family='monospace' font-weight='700' font-size='14' fill='%231a0f00'>NV</text></svg>" />
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet">
</head>
<body>
<nv-app></nv-app>
<script type="module" src="/src/main.ts"></script>
</body>
</html>
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{
"name": "@ruvnet/nvsim-dashboard",
"version": "0.1.0",
"description": "Vite + Lit dashboard for the nvsim NV-diamond magnetometer pipeline simulator (ADR-092).",
"type": "module",
"private": true,
"scripts": {
"dev": "vite",
"build": "tsc --noEmit && vite build",
"preview": "vite preview --port 4173",
"typecheck": "tsc --noEmit",
"test": "vitest run",
"test:watch": "vitest",
"test:e2e": "playwright test",
"test:a11y": "playwright test tests/a11y.spec.ts"
},
"dependencies": {
"@preact/signals-core": "^1.8.0",
"lit": "^3.2.1",
"workbox-window": "^7.4.0"
},
"devDependencies": {
"@axe-core/playwright": "^4.11.2",
"@playwright/test": "^1.59.1",
"typescript": "^5.6.3",
"vite": "^5.4.10",
"vite-plugin-pwa": "^1.2.0",
"vitest": "^2.1.4"
}
}
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import { defineConfig } from '@playwright/test';
export default defineConfig({
testDir: './tests',
fullyParallel: true,
retries: 0,
reporter: 'list',
use: {
baseURL: 'http://localhost:4173',
headless: true,
},
webServer: {
command: 'npm run preview',
port: 4173,
timeout: 60_000,
reuseExistingServer: !process.env.CI,
},
projects: [
{ name: 'chromium', use: { browserName: 'chromium' } },
{ name: 'firefox', use: { browserName: 'firefox' } },
{ name: 'webkit', use: { browserName: 'webkit' } },
],
});
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 192 192" width="192" height="192">
<rect width="192" height="192" rx="36" fill="#e6a86b"/>
<text x="96" y="124" text-anchor="middle" font-family="ui-monospace,SFMono-Regular,Menlo,monospace" font-weight="700" font-size="80" fill="#1a0f00">NV</text>
</svg>

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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" width="512" height="512">
<defs>
<linearGradient id="g" x1="0" x2="1" y1="0" y2="1">
<stop offset="0" stop-color="#e6a86b"/>
<stop offset="1" stop-color="#a4633a"/>
</linearGradient>
</defs>
<rect width="512" height="512" rx="96" fill="url(#g)"/>
<text x="256" y="332" text-anchor="middle" font-family="ui-monospace,SFMono-Regular,Menlo,monospace" font-weight="700" font-size="220" fill="#1a0f00">NV</text>
</svg>

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/* nvsim dashboard — global styles
Ported from `assets/NVsim Dashboard.zip` per ADR-092 §7.1.
Per-component scoped styles live in each Lit element. */
:root {
--bg-0: #07090d;
--bg-1: #0d1117;
--bg-2: #131a23;
--bg-3: #1a232f;
--line: #1f2a38;
--line-2: #2a3848;
--ink: #e6edf3;
--ink-2: #b8c2cc;
--ink-3: #7c8694;
--ink-4: #4a5462;
--accent: oklch(0.78 0.14 70);
--accent-2: oklch(0.78 0.12 195);
--accent-3: oklch(0.72 0.18 330);
--accent-4: oklch(0.78 0.14 145);
--warn: oklch(0.7 0.18 35);
--ok: oklch(0.78 0.14 145);
--bad: oklch(0.65 0.22 25);
--grid: rgba(255, 255, 255, 0.04);
--shadow: 0 20px 60px -20px rgba(0, 0, 0, 0.6),
0 4px 12px -4px rgba(0, 0, 0, 0.4);
--radius: 12px;
--radius-sm: 8px;
--mono: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, monospace;
--sans: 'Inter', system-ui, -apple-system, sans-serif;
}
[data-theme="light"] {
--bg-0: #f4f5f7;
--bg-1: #fbfbfc;
--bg-2: #ffffff;
--bg-3: #f0f2f5;
--line: #d8dde3;
--line-2: #c1c8d1;
--ink: #0e131a;
--ink-2: #2c3744;
--ink-3: #54606e; /* AA on --bg-1 #fbfbfc — was #6b7684 (3.7:1), now ~5.4:1 */
--ink-4: #7a8390; /* improved from #9ba4b0 for incidental UI labels */
--grid: rgba(0, 0, 0, 0.05);
--shadow: 0 12px 40px -16px rgba(15, 30, 55, 0.18),
0 2px 8px -2px rgba(15, 30, 55, 0.08);
}
* { box-sizing: border-box; }
html, body { margin: 0; padding: 0; }
body {
font-family: var(--sans);
background: var(--bg-0);
color: var(--ink);
font-size: 14px;
line-height: 1.45;
overflow: hidden;
height: 100vh;
-webkit-font-smoothing: antialiased;
letter-spacing: -0.005em;
}
button { font-family: inherit; color: inherit; cursor: pointer; }
input, select { font-family: inherit; color: inherit; }
::-webkit-scrollbar { width: 8px; height: 8px; }
::-webkit-scrollbar-track { background: transparent; }
::-webkit-scrollbar-thumb { background: var(--line-2); border-radius: 4px; }
::-webkit-scrollbar-thumb:hover { background: var(--ink-4); }
@keyframes pulse { 50% { opacity: 0.5; } }
@keyframes dash { to { stroke-dashoffset: -200; } }
@keyframes float-up {
0% { opacity: 0; transform: translateY(8px); }
100% { opacity: 1; transform: translateY(0); }
}
@keyframes diamond-spin {
0% { transform: rotateY(0) rotateX(8deg); }
100% { transform: rotateY(360deg) rotateX(8deg); }
}
@keyframes spin { to { transform: rotate(360deg); } }
body.reduce-motion *,
body.reduce-motion *::before,
body.reduce-motion *::after {
animation: none !important;
transition: none !important;
}
/* Density (set via class on <body> by setDensity()) */
body.density-comfy { font-size: 15px; }
body.density-default { font-size: 14px; }
body.density-compact { font-size: 13px; }
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/* App Store — catalog of every WASM edge module + simulator app.
*
* Mirrors `wifi-densepose-wasm-edge`'s 60+ hot-loadable algorithms and
* the `nvsim` simulator. Each card is filterable by category, fuzzy
* name search, and maturity (available / beta / research). A toggle on
* each card flips activation in the live session — that drives the
* dashboard's event log when running. WS transport (future) pushes the
* activation set to the connected ESP32 mesh.
*
* ADR-092 §18.
*/
import { LitElement, html, css } from 'lit';
import { customElement, state } from 'lit/decorators.js';
import { signal, effect } from '@preact/signals-core';
import {
APPS, CATEGORIES, defaultActivations, fuzzyMatch,
type AppCategory, type AppManifest, type AppActivation,
} from '../store/apps';
import { kvGet, kvSet } from '../store/persistence';
import { pushLog, activeAppIds, appEvents, appEventCounts } from '../store/appStore';
import { hasRuntime } from '../store/appRuntimes';
const activations = signal<AppActivation[]>(defaultActivations());
const query = signal<string>('');
const activeCat = signal<AppCategory | 'all'>('all');
const statusFilter = signal<'all' | 'available' | 'beta' | 'research'>('all');
(async () => {
const saved = await kvGet<AppActivation[]>('app-activations');
if (saved) activations.value = saved;
})();
effect(() => {
// Persist activations on change (post-load) AND mirror into the
// active-set signal that main.ts watches to drive runtime dispatch.
const v = activations.value;
if (v.length > 0) void kvSet('app-activations', v);
const set = new Set<string>();
for (const a of v) if (a.active) set.add(a.id);
activeAppIds.value = set;
});
@customElement('nv-app-store')
export class NvAppStore extends LitElement {
@state() private renderTick = 0;
static styles = css`
:host {
display: block;
height: 100%;
overflow-y: auto;
background: radial-gradient(ellipse at 50% 30%, var(--bg-2) 0%, var(--bg-0) 70%);
padding: 24px;
}
.head {
display: flex; align-items: center; gap: 16px;
margin-bottom: 18px;
flex-wrap: wrap;
}
.ttl {
font-size: 22px; font-weight: 700; letter-spacing: -0.02em;
color: var(--ink);
flex: 1; min-width: 200px;
}
.ttl small {
font-size: 12.5px; font-weight: 400;
color: var(--ink-3); margin-left: 8px;
}
.search {
width: 320px; max-width: 100%;
padding: 8px 12px;
background: var(--bg-2);
border: 1px solid var(--line);
border-radius: 8px;
font-family: var(--mono);
font-size: 12.5px;
color: var(--ink); outline: none;
}
.search:focus { border-color: var(--accent); }
.filters {
display: flex; flex-wrap: wrap; gap: 6px;
margin-bottom: 18px;
}
.chip {
padding: 4px 10px;
background: var(--bg-2);
border: 1px solid var(--line);
border-radius: 999px;
font-size: 11.5px; color: var(--ink-3);
cursor: pointer;
font-family: var(--mono);
display: inline-flex; align-items: center; gap: 4px;
}
.chip:hover { color: var(--ink); border-color: var(--line-2); }
.chip.on { background: var(--bg-3); border-color: var(--accent); color: var(--ink); }
.chip .swatch {
width: 7px; height: 7px; border-radius: 50%;
}
.chip .count { color: var(--ink-3); font-size: 10px; }
.grid {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(280px, 1fr));
gap: 12px;
}
.card {
background: var(--bg-2);
border: 1px solid var(--line);
border-radius: var(--radius);
padding: 12px 14px;
display: flex; flex-direction: column; gap: 6px;
transition: border-color 0.15s, transform 0.15s;
position: relative;
}
.card:hover { border-color: var(--line-2); transform: translateY(-1px); }
.card.active {
border-color: oklch(0.78 0.14 145 / 0.7);
background: linear-gradient(180deg, var(--bg-2) 0%, oklch(0.78 0.14 145 / 0.04) 100%);
}
.card-h {
display: flex; align-items: flex-start; gap: 8px;
margin-bottom: 2px;
}
.card-h .name {
font-size: 13.5px; font-weight: 600; color: var(--ink);
flex: 1; line-height: 1.3;
}
.card-h .swatch {
width: 10px; height: 10px; border-radius: 50%;
flex-shrink: 0; margin-top: 4px;
}
.summary {
font-size: 12px; color: var(--ink-2); line-height: 1.45;
flex: 1;
}
.meta {
display: flex; flex-wrap: wrap; gap: 4px; margin-top: 6px;
font-family: var(--mono); font-size: 10px;
}
.badge {
padding: 1px 6px; border-radius: 4px;
background: var(--bg-3); color: var(--ink-3);
border: 1px solid var(--line);
}
.badge.cat { color: var(--accent); border-color: oklch(0.78 0.14 70 / 0.3); }
.badge.status-available { color: var(--ok); border-color: oklch(0.78 0.14 145 / 0.4); }
.badge.status-beta { color: var(--warn); border-color: oklch(0.7 0.18 35 / 0.4); }
.badge.status-research { color: var(--accent-3); border-color: oklch(0.72 0.18 330 / 0.4); }
.badge.budget { color: var(--accent-2); border-color: oklch(0.78 0.12 195 / 0.3); }
.badge.rt-running { color: var(--ok); border-color: oklch(0.78 0.14 145 / 0.5); background: oklch(0.78 0.14 145 / 0.08); }
.badge.rt-simulated { color: var(--accent); border-color: oklch(0.78 0.14 70 / 0.5); background: oklch(0.78 0.14 70 / 0.08); }
.badge.rt-mesh-only { color: var(--ink-3); border-color: var(--line); }
.events-feed {
background: var(--bg-2);
border: 1px solid var(--line);
border-radius: var(--radius);
padding: 14px;
margin-bottom: 18px;
}
.events-feed h3 {
margin: 0 0 8px;
font-size: 13px; font-weight: 600;
color: var(--ink);
}
.events-feed .lead {
font-size: 12px; color: var(--ink-3);
margin: 0 0 10px;
line-height: 1.5;
}
.events-feed .lines {
display: flex; flex-direction: column; gap: 4px;
max-height: 160px; overflow-y: auto;
}
.ev-line {
display: grid;
grid-template-columns: 60px 90px 1fr;
gap: 10px;
padding: 4px 6px;
border-radius: 4px;
font-family: var(--mono);
font-size: 11px;
color: var(--ink-2);
}
.ev-line:hover { background: var(--bg-3); }
.ev-line .ts { color: var(--ink-4); font-size: 10.5px; }
.ev-line .id { color: var(--accent); font-size: 10.5px; }
.ev-line .body { color: var(--ink); }
.ev-empty {
font-size: 12px; color: var(--ink-3);
padding: 8px 0;
}
.card-events-count {
font-size: 10.5px;
color: var(--accent-4);
font-family: var(--mono);
}
.card-foot {
display: flex; align-items: center; gap: 8px;
padding-top: 8px; margin-top: 4px;
border-top: 1px solid var(--line);
font-size: 11px; color: var(--ink-3);
}
.toggle {
position: relative;
width: 32px; height: 18px;
background: var(--bg-3); border: 1px solid var(--line-2);
border-radius: 999px; cursor: pointer;
transition: background 0.15s;
flex-shrink: 0;
}
.toggle::after {
content: ''; position: absolute;
top: 1px; left: 1px;
width: 12px; height: 12px;
background: var(--ink-3); border-radius: 50%;
transition: transform 0.15s, background 0.15s;
}
.toggle.on { background: var(--accent); border-color: var(--accent); }
.toggle.on::after { background: #1a0f00; transform: translateX(14px); }
.events {
font-family: var(--mono); font-size: 10px; color: var(--ink-3);
flex: 1;
}
.empty {
padding: 40px;
text-align: center; color: var(--ink-3);
font-size: 13px;
}
`;
override connectedCallback(): void {
super.connectedCallback();
effect(() => {
activations.value; query.value; activeCat.value; statusFilter.value;
appEvents.value; appEventCounts.value;
this.renderTick++;
});
}
private isActive(id: string): boolean {
return activations.value.find((a) => a.id === id)?.active === true;
}
private toggle(app: AppManifest): void {
const wasActive = this.isActive(app.id);
const next = activations.value.map((a) => a.id === app.id ? { ...a, active: !a.active, lastActivatedAt: Date.now() } : a);
activations.value = next;
if (!wasActive) {
const r = app.runtime ?? 'mesh-only';
const note = r === 'simulated' ? ' · live runtime engaged'
: r === 'mesh-only' ? ' · queued (needs ESP32 mesh)'
: '';
pushLog('ok', `app <span class="k">${app.id}</span> activated${note}`);
} else {
pushLog('info', `app <span class="k">${app.id}</span> deactivated`);
}
}
private filtered(): AppManifest[] {
let list = APPS;
if (activeCat.value !== 'all') list = list.filter((a) => a.category === activeCat.value);
if (statusFilter.value !== 'all') list = list.filter((a) => a.status === statusFilter.value);
if (query.value.trim()) {
list = list
.map((a) => ({ a, s: fuzzyMatch(query.value, a) }))
.filter((x) => x.s > 0)
.sort((a, b) => b.s - a.s)
.map((x) => x.a);
}
return list;
}
private categoryCounts(): Record<string, number> {
const counts: Record<string, number> = { all: APPS.length };
for (const k of Object.keys(CATEGORIES)) counts[k] = 0;
for (const a of APPS) counts[a.category] = (counts[a.category] ?? 0) + 1;
return counts;
}
override render() {
const list = this.filtered();
const counts = this.categoryCounts();
const activeCount = activations.value.filter((a) => a.active).length;
return html`
<div class="head">
<div class="ttl">
App Store
<small>${APPS.length} edge apps · ${activeCount} active</small>
</div>
<input class="search" id="app-search" placeholder="Search by name, tag, or category…"
.value=${query.value}
@input=${(e: Event) => { query.value = (e.target as HTMLInputElement).value; }} />
</div>
<div class="filters">
<span class="chip ${activeCat.value === 'all' ? 'on' : ''}"
@click=${() => activeCat.value = 'all'}>
All<span class="count">${counts.all}</span>
</span>
${(Object.keys(CATEGORIES) as AppCategory[]).map((k) => html`
<span class="chip ${activeCat.value === k ? 'on' : ''}"
@click=${() => activeCat.value = k}>
<span class="swatch" style=${`background:${CATEGORIES[k].color}`}></span>
${CATEGORIES[k].label}
<span class="count">${counts[k] ?? 0}</span>
</span>
`)}
<span style="flex:1; min-width:8px"></span>
<span class="chip ${statusFilter.value === 'all' ? 'on' : ''}" @click=${() => statusFilter.value = 'all'}>any</span>
<span class="chip ${statusFilter.value === 'available' ? 'on' : ''}" @click=${() => statusFilter.value = 'available'}>available</span>
<span class="chip ${statusFilter.value === 'beta' ? 'on' : ''}" @click=${() => statusFilter.value = 'beta'}>beta</span>
<span class="chip ${statusFilter.value === 'research' ? 'on' : ''}" @click=${() => statusFilter.value = 'research'}>research</span>
</div>
${this.renderEventsFeed()}
${list.length === 0
? html`<div class="empty">No apps match the current filters.</div>`
: html`<div class="grid">${list.map((app) => this.card(app))}</div>`}
`;
}
private renderEventsFeed() {
const evs = appEvents.value.slice(-12).reverse();
const activeSimCount = activations.value.filter((a) => a.active && hasRuntime(a.id)).length;
return html`
<div class="events-feed">
<h3>Live runtime feed
${activeSimCount > 0
? html`<span class="card-events-count" style="margin-left: 8px;">${activeSimCount} simulated app${activeSimCount === 1 ? '' : 's'} active</span>`
: ''}
</h3>
<p class="lead">
Apps with the <span class="badge rt-simulated" style="font-size:9.5px; padding:0 4px;">simulated</span>
runtime emit real i32 event IDs against nvsim's live frame stream below.
Apps with <span class="badge rt-mesh-only" style="font-size:9.5px; padding:0 4px;">mesh-only</span>
need an ESP32-S3 + WS transport (deferred to V2). The
<span class="badge rt-running" style="font-size:9.5px; padding:0 4px;">running</span>
badge marks <code>nvsim</code> itself, which is always running.
</p>
${evs.length === 0
? html`<div class="ev-empty">No events yet. Toggle a card with the <i>simulated</i> badge and press <b>▶ Run</b>.</div>`
: html`<div class="lines">${evs.map((ev) => {
const dt = new Date(ev.ts);
const ts = `${String(dt.getSeconds()).padStart(2, '0')}.${String(dt.getMilliseconds()).padStart(3, '0')}`;
return html`
<div class="ev-line">
<span class="ts">${ts}</span>
<span class="id">${ev.appId}</span>
<span class="body"><b style="color:var(--accent-2);">${ev.eventName}</b><span style="color:var(--ink-3);"> · ${ev.eventId}</span> ${ev.detail ? `· ${ev.detail}` : ''}</span>
</div>
`;
})}</div>`}
</div>
`;
}
private card(app: AppManifest) {
const active = this.isActive(app.id);
const cat = CATEGORIES[app.category];
const runtime = app.runtime ?? 'mesh-only';
const evCount = appEventCounts.value[app.id] ?? 0;
const runtimeLabel: Record<string, string> = {
'running': 'running',
'simulated': 'simulated',
'mesh-only': 'needs mesh',
};
const runtimeTip: Record<string, string> = {
'running': 'This app is genuinely running in your browser right now.',
'simulated': 'A pared-down version of this algorithm runs against nvsim\'s magnetic frame stream as a proxy for its native CSI input. Toggle on, then press ▶ Run to see real event IDs in the feed.',
'mesh-only': 'This algorithm needs CSI subcarrier data from an ESP32-S3 mesh. The toggle persists; activation is pushed via WS transport (V2).',
};
return html`
<div class="card ${active ? 'active' : ''}" data-app-id=${app.id}>
<div class="card-h">
<span class="swatch" style=${`background:${cat.color}`}></span>
<span class="name">${app.name}</span>
</div>
<div class="summary">${app.summary}</div>
<div class="meta">
<span class="badge cat">${cat.label}</span>
<span class="badge status-${app.status}">${app.status}</span>
<span class="badge rt-${runtime}" title=${runtimeTip[runtime]}>${runtimeLabel[runtime]}</span>
${app.budget ? html`<span class="badge budget">budget ${app.budget}</span>` : ''}
${app.adr ? html`<span class="badge">${app.adr}</span>` : ''}
${app.events?.length ? html`<span class="badge">events ${app.events.join('·')}</span>` : ''}
</div>
<div class="card-foot">
<span class="events">${app.crate}</span>
${evCount > 0 ? html`<span class="card-events-count">⚡ ${evCount} ev</span>` : ''}
<span class="toggle ${active ? 'on' : ''}" role="switch"
aria-checked=${active}
data-app-toggle=${app.id}
@click=${() => this.toggle(app)}></span>
</div>
</div>
`;
}
}
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/* Top-level shell: 4-zone grid with rail / topbar / sidebar / scene / inspector / console.
* View routing is per-rail-button: the central area swaps between
* `<nv-scene>`, `<nv-app-store>`, etc. */
import { LitElement, html, css } from 'lit';
import { customElement, state } from 'lit/decorators.js';
import './nv-rail';
import './nv-topbar';
import './nv-sidebar';
import './nv-scene';
import './nv-inspector';
import './nv-console';
import './nv-app-store';
import './nv-toast';
import './nv-modal';
import './nv-palette';
import './nv-debug-hud';
import './nv-settings-drawer';
import './nv-onboarding';
import './nv-ghost-murmur';
import './nv-help';
import './nv-home';
export type View = 'home' | 'scene' | 'apps' | 'inspector' | 'witness' | 'ghost-murmur';
@customElement('nv-app')
export class NvApp extends LitElement {
@state() private view: View = 'home';
static styles = css`
:host {
display: block;
height: 100vh;
width: 100vw;
background: var(--bg-0);
}
.skip-link {
position: absolute;
top: -40px;
left: 8px;
padding: 6px 12px;
background: var(--accent);
color: #1a0f00;
border-radius: 6px;
font-size: 12.5px;
font-weight: 600;
text-decoration: none;
z-index: 1000;
transition: top 0.15s;
}
.skip-link:focus { top: 8px; }
.app {
display: grid;
grid-template-columns: 56px 280px 1fr 340px;
grid-template-rows: 48px 1fr 220px;
grid-template-areas:
'rail topbar topbar topbar'
'rail sidebar main inspector'
'rail sidebar console inspector';
height: 100vh;
width: 100vw;
}
/* Home view simplifies: hides sidebar / inspector / console so the
hero gets the full screen. Power-user panels stay one rail click away. */
.app.simple {
grid-template-columns: 56px 1fr;
grid-template-rows: 48px 1fr;
grid-template-areas:
'rail topbar'
'rail main';
}
.app.simple nv-sidebar,
.app.simple nv-inspector,
.app.simple nv-console { display: none; }
nv-rail { grid-area: rail; }
nv-topbar { grid-area: topbar; }
nv-sidebar { grid-area: sidebar; }
.main { grid-area: main; min-width: 0; min-height: 0; position: relative; overflow: hidden; }
nv-inspector { grid-area: inspector; }
nv-console { grid-area: console; min-height: 0; }
@media (max-width: 1180px) {
.app {
grid-template-columns: 56px 1fr 320px;
grid-template-areas:
'rail topbar topbar'
'rail main inspector'
'rail console console';
}
nv-sidebar { display: none; }
}
@media (max-width: 860px) {
.app {
grid-template-columns: 1fr;
grid-template-rows: 52px 1fr 200px;
grid-template-areas:
'topbar'
'main'
'console';
}
nv-rail, nv-sidebar, nv-inspector { display: none; }
}
`;
override render() {
const isSimple = this.view === 'home';
return html`
<a class="skip-link" href="#main-content"
@click=${(e: Event) => { e.preventDefault(); const sr = this.shadowRoot; sr?.querySelector<HTMLElement>('.main')?.focus(); }}>
Skip to main content
</a>
<div class="app ${isSimple ? 'simple' : ''}">
<nv-rail .view=${this.view} @navigate=${(e: CustomEvent<View>) => (this.view = e.detail)}></nv-rail>
<nv-topbar></nv-topbar>
<nv-sidebar></nv-sidebar>
<main class="main" id="main-content" tabindex="-1" role="main" aria-label="Main view">
${this.view === 'home'
? html`<nv-home></nv-home>`
: this.view === 'apps'
? html`<nv-app-store></nv-app-store>`
: this.view === 'ghost-murmur'
? html`<nv-ghost-murmur></nv-ghost-murmur>`
: this.view === 'inspector'
? html`<nv-inspector expanded .pinTab=${'signal'}></nv-inspector>`
: this.view === 'witness'
? html`<nv-inspector expanded .pinTab=${'witness'}></nv-inspector>`
: html`<nv-scene></nv-scene>`}
</main>
<nv-inspector
.pinTab=${this.view === 'inspector' ? 'signal'
: this.view === 'witness' ? 'witness' : null}>
</nv-inspector>
<nv-console></nv-console>
</div>
<nv-toast></nv-toast>
<nv-modal></nv-modal>
<nv-palette></nv-palette>
<nv-debug-hud></nv-debug-hud>
<nv-settings-drawer></nv-settings-drawer>
<nv-onboarding></nv-onboarding>
<nv-help></nv-help>
`;
}
}
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@@ -1,266 +0,0 @@
/* Console — log stream + REPL. */
import { LitElement, html, css } from 'lit';
import { customElement, query } from 'lit/decorators.js';
import { effect } from '@preact/signals-core';
import {
consoleLines, consoleFilter, consolePaused, pushLog,
getClient, seed, theme, expectedWitness, witnessHex, witnessVerified,
running, replHistory, pushReplHistory,
} from '../store/appStore';
@customElement('nv-console')
export class NvConsole extends LitElement {
@query('#console-input') private inputEl!: HTMLInputElement;
private hIdx = -1;
static styles = css`
:host {
display: flex; flex-direction: column;
background: var(--bg-1);
overflow: hidden;
}
.tabs {
display: flex; align-items: center;
border-bottom: 1px solid var(--line);
padding: 0 10px;
gap: 2px;
}
.tab {
padding: 8px 12px;
background: transparent; border: none;
font-size: 11.5px; color: var(--ink-3);
font-family: var(--mono);
border-bottom: 2px solid transparent;
cursor: pointer;
margin-bottom: -1px;
}
.tab.active { color: var(--ink); border-bottom-color: var(--accent); }
.tab .cnt {
background: var(--bg-3); padding: 1px 5px; border-radius: 999px;
font-size: 9.5px; color: var(--ink-2); margin-left: 4px;
}
.spacer { flex: 1; }
.tools { display: flex; gap: 4px; padding: 4px 0; }
.tools button {
width: 24px; height: 24px;
background: transparent; border: 1px solid var(--line);
border-radius: 6px;
color: var(--ink-3);
font-size: 11px; cursor: pointer;
}
.tools button:hover { color: var(--ink); border-color: var(--line-2); }
.body {
flex: 1; overflow-y: auto;
font-family: var(--mono);
font-size: 11.5px;
padding: 6px 0;
background: var(--bg-0);
}
.line {
display: grid;
grid-template-columns: 70px 60px 1fr;
gap: 12px;
padding: 2px 12px;
color: var(--ink-2);
border-left: 2px solid transparent;
}
.line:hover { background: var(--bg-1); }
.ts { color: var(--ink-4); font-size: 10.5px; padding-top: 1px; }
.lvl {
font-size: 10px; font-weight: 600;
text-transform: uppercase; letter-spacing: 0.04em; padding-top: 1px;
}
.line.info .lvl { color: var(--accent-2); }
.line.warn .lvl { color: var(--warn); }
.line.warn { border-left-color: var(--warn); background: oklch(0.7 0.18 35 / 0.04); }
.line.err .lvl { color: var(--bad); }
.line.err { border-left-color: var(--bad); background: oklch(0.65 0.22 25 / 0.05); }
.line.dbg .lvl { color: var(--ink-3); }
.line.ok .lvl { color: var(--ok); }
.msg { color: var(--ink); white-space: pre-wrap; word-break: break-word; }
.input {
display: flex; align-items: center;
border-top: 1px solid var(--line);
background: var(--bg-0);
padding: 0 10px;
height: 32px; gap: 8px;
}
.prompt { color: var(--accent); font-family: var(--mono); font-size: 12px; }
input[type="text"] {
flex: 1; background: transparent; border: none; outline: none;
color: var(--ink); font-family: var(--mono); font-size: 12px;
height: 100%;
}
input::placeholder { color: var(--ink-4); }
`;
override connectedCallback(): void {
super.connectedCallback();
effect(() => {
consoleLines.value; consoleFilter.value; consolePaused.value;
this.requestUpdate();
});
}
override updated(): void {
const body = this.renderRoot.querySelector('.body') as HTMLElement | null;
if (body) body.scrollTop = body.scrollHeight;
}
private counts(): Record<string, number> {
const c: Record<string, number> = { info: 0, warn: 0, err: 0, dbg: 0, ok: 0 };
for (const l of consoleLines.value) c[l.level] = (c[l.level] ?? 0) + 1;
c.all = consoleLines.value.length;
return c;
}
private async exec(line: string): Promise<void> {
line = line.trim();
if (!line) return;
pushLog('info', `<span style="color:var(--accent);">nvsim&gt;</span> ${line}`);
pushReplHistory(line);
this.hIdx = replHistory.value.length;
const [cmd, ...args] = line.split(/\s+/);
const arg = args.join(' ');
const c = getClient();
switch (cmd) {
case 'help':
pushLog('info', 'commands: help · scene.list · sensor.config · run · pause · reset · seed · proof.verify · proof.export · clear · theme · status');
break;
case 'scene.list':
pushLog('info', 'scene rebar-walkby-01:');
pushLog('info', ' rebar.steel.coil @ [+2.7, 0.0, +0.3] m χ=5000');
pushLog('info', ' dipole.heart_proxy @ [-1.4, +0.2, +0.4] m m=1.0e-6 A·m²');
pushLog('info', ' loop.mains_60Hz @ [-1.6, -0.4, 0.0] m I=2 A');
pushLog('info', ' eddy.door_steel @ [+0.0, +1.8, +0.4] m σ=1e6 S/m');
break;
case 'sensor.config':
pushLog('info', 'NvSensor::cots_defaults() {');
pushLog('info', ' pos=[0,0,0], V=1mm³, N=1e12, C=0.03, T2*=200ns');
pushLog('info', ' D=2.870 GHz, γe=28 GHz/T, Γ=1.0 MHz, axes=4×〈111〉');
pushLog('info', ' δB ≈ 1.18 pT/√Hz (Barry 2020 §III.A) }');
break;
case 'run':
if (c) { await c.run(); running.value = true; pushLog('ok', 'pipeline RUN'); }
break;
case 'pause':
if (c) { await c.pause(); running.value = false; pushLog('warn', 'pipeline PAUSED'); }
break;
case 'reset':
if (c) { await c.reset(); pushLog('info', 'pipeline reset · t=0'); }
break;
case 'seed': {
if (!arg) { pushLog('info', `current seed = 0x${seed.value.toString(16).toUpperCase()}`); break; }
const v = BigInt(arg.startsWith('0x') ? arg : '0x' + arg);
seed.value = v;
if (c) await c.setSeed(v);
pushLog('ok', `seed → 0x${v.toString(16).toUpperCase()}`);
break;
}
case 'proof.verify': {
if (!c) break;
pushLog('dbg', 'computing SHA-256 over 256 frames…');
try {
const exp = expectedWitness.value;
const expBytes = new Uint8Array(32);
for (let i = 0; i < 32; i++) expBytes[i] = parseInt(exp.slice(i * 2, i * 2 + 2), 16);
const r = await c.verifyWitness(expBytes);
if (r.ok) { witnessVerified.value = 'ok'; witnessHex.value = exp; pushLog('ok', `witness ${exp.slice(0, 16)}… matches · determinism gate ✓`); }
else { witnessVerified.value = 'fail'; pushLog('err', 'WITNESS MISMATCH'); }
} catch (e) { pushLog('err', `verify failed: ${(e as Error).message}`); }
break;
}
case 'proof.export': {
if (!c) break;
pushLog('dbg', 'building proof bundle…');
try {
const blob = await c.exportProofBundle();
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = `nvsim-proof-${Date.now()}.json`;
a.click();
URL.revokeObjectURL(url);
pushLog('ok', `proof bundle exported · ${blob.size} bytes`);
} catch (e) { pushLog('err', `export failed: ${(e as Error).message}`); }
break;
}
case 'clear':
consoleLines.value = [];
break;
case 'theme': {
const t = (arg || '').toLowerCase();
if (t === 'light' || t === 'dark') { theme.value = t; pushLog('ok', `theme → ${t}`); }
else pushLog('info', 'theme [light|dark]');
break;
}
case 'status':
pushLog('info', `running=${running.value} seed=0x${seed.value.toString(16).toUpperCase()} verified=${witnessVerified.value}`);
break;
default:
pushLog('err', `unknown command: ${cmd} · try help`);
}
}
private onKey = (e: KeyboardEvent): void => {
if (e.key === 'Enter') { void this.exec(this.inputEl.value); this.inputEl.value = ''; }
else if (e.key === 'ArrowUp') {
const h = replHistory.value;
if (h.length) {
this.hIdx = Math.max(0, this.hIdx - 1);
this.inputEl.value = h[this.hIdx] ?? '';
e.preventDefault();
}
} else if (e.key === 'ArrowDown') {
const h = replHistory.value;
if (h.length) {
this.hIdx = Math.min(h.length, this.hIdx + 1);
this.inputEl.value = h[this.hIdx] ?? '';
e.preventDefault();
}
}
};
override render() {
const c = this.counts();
const filter = consoleFilter.value;
const visible = consoleLines.value.filter((l) => filter === 'all' || l.level === filter);
return html`
<div class="tabs">
${(['all', 'info', 'warn', 'err', 'dbg'] as const).map((k) => html`
<button class="tab ${filter === k ? 'active' : ''}" data-tab=${k}
@click=${() => consoleFilter.value = k}>
${k} <span class="cnt">${c[k] ?? 0}</span>
</button>
`)}
<span class="spacer"></span>
<div class="tools">
<button id="clear-log" title="Clear" @click=${() => consoleLines.value = []}>×</button>
<button id="pause-log" title="Pause" @click=${() => consolePaused.value = !consolePaused.value}>
${consolePaused.value ? '▶' : '❚❚'}
</button>
</div>
</div>
<div class="body" role="log" aria-live="polite" aria-label="Console output">
${visible.map((l) => {
const ts = new Date(l.ts);
const tsStr = `${String(ts.getSeconds()).padStart(2, '0')}.${String(ts.getMilliseconds()).padStart(3, '0')}`;
// Use innerHTML pass-through via unsafe-html alt: inject raw html via property
return html`<div class="line ${l.level}">
<div class="ts">${tsStr}</div>
<div class="lvl">${l.level}</div>
<div class="msg" .innerHTML=${l.msg}></div>
</div>`;
})}
</div>
<div class="input">
<span class="prompt">nvsim&gt;</span>
<input id="console-input" type="text"
placeholder="help · scene.list · sensor.config · run · proof.verify · clear"
@keydown=${this.onKey}/>
</div>
`;
}
}
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@@ -1,88 +0,0 @@
/* Debug HUD toggled with `. Shows render fps, sim t, frames, |B|, SNR. */
import { LitElement, html, css } from 'lit';
import { customElement, state } from 'lit/decorators.js';
import { effect } from '@preact/signals-core';
import { fps, framesEmitted, bMag, snr, t as simT } from '../store/appStore';
@customElement('nv-debug-hud')
export class NvDebugHud extends LitElement {
@state() private open = false;
@state() private renderFps = 0;
private lastTs = performance.now();
private frameCount = 0;
private rafId = 0;
static styles = css`
:host {
position: fixed; bottom: 8px; right: 8px;
width: 220px;
background: rgba(13,17,23,0.85);
backdrop-filter: blur(8px);
border: 1px solid var(--line-2);
border-radius: 8px;
padding: 8px 10px;
font-family: var(--mono); font-size: 11px;
color: var(--ink-2);
z-index: 99;
display: none;
box-shadow: var(--shadow);
}
:host([open]) { display: block; }
.h {
display: flex; justify-content: space-between;
font-weight: 600; color: var(--ink);
margin-bottom: 6px; padding-bottom: 4px;
border-bottom: 1px solid var(--line);
}
.x { cursor: pointer; color: var(--ink-3); }
.row {
display: flex; justify-content: space-between;
padding: 1px 0;
}
.k { color: var(--ink-3); }
.v { color: var(--ink); }
`;
override connectedCallback(): void {
super.connectedCallback();
window.addEventListener('keydown', this.onKey);
effect(() => { fps.value; framesEmitted.value; bMag.value; snr.value; simT.value; this.requestUpdate(); });
this.tick();
}
override disconnectedCallback(): void {
super.disconnectedCallback();
window.removeEventListener('keydown', this.onKey);
cancelAnimationFrame(this.rafId);
}
private onKey = (e: KeyboardEvent): void => {
if (e.key === '`' && !(e.target as HTMLElement).matches('input, textarea')) {
this.open = !this.open;
this.toggleAttribute('open', this.open);
}
};
private tick = (): void => {
this.rafId = requestAnimationFrame(this.tick);
const now = performance.now();
this.frameCount++;
if (now - this.lastTs >= 500) {
this.renderFps = (this.frameCount * 1000) / (now - this.lastTs);
this.frameCount = 0;
this.lastTs = now;
this.requestUpdate();
}
};
override render() {
return html`
<div class="h"><span>nvsim · debug</span><span class="x" @click=${() => { this.open = false; this.removeAttribute('open'); }}>✕</span></div>
<div class="row"><span class="k">render fps</span><span class="v">${this.renderFps.toFixed(1)}</span></div>
<div class="row"><span class="k">sim fps</span><span class="v">${fps.value > 0 ? Math.round(fps.value) : '—'}</span></div>
<div class="row"><span class="k">frames</span><span class="v">${framesEmitted.value.toString()}</span></div>
<div class="row"><span class="k">|B|</span><span class="v">${(bMag.value * 1e9).toFixed(3)} nT</span></div>
<div class="row"><span class="k">SNR</span><span class="v">${snr.value > 0 ? snr.value.toFixed(1) : '—'}</span></div>
<div class="row"><span class="k">DOM</span><span class="v">${document.querySelectorAll('*').length}</span></div>
`;
}
}
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@@ -1,666 +0,0 @@
/* Ghost Murmur — research view.
*
* Walks through the publicly-reported April 2026 CIA program and maps
* the physically-defensible parts onto RuView's three-tier heartbeat
* mesh. Source: docs/research/quantum-sensing/16-ghost-murmur-ruview-spec.md
*
* This view is reference material, not an operational mode. It exists
* so practitioners (and journalists) can audit the physics-vs-press
* gap in the open. ADR-092 §14b.
*/
import { LitElement, html, css } from 'lit';
import { customElement, state } from 'lit/decorators.js';
import { getClient, pushLog } from '../store/appStore';
import type { TransientRunResult } from '../transport/NvsimClient';
// Tier detection thresholds — order-of-magnitude floor each transport
// can resolve cardiac signal at, in Tesla. Source: Ghost Murmur spec
// §4.7, Wolf 2015, Barry 2020. These are deliberately optimistic for the
// "available" path; the shoot-the-moon press claim sits 6+ orders below.
const TIERS = [
{ id: 'nvBest', label: 'NV-ensemble (best lab)', floorT: 1e-12, color: 'oklch(0.78 0.14 70)' },
{ id: 'nvCots', label: 'NV-DNV-B1 (COTS)', floorT: 3e-10, color: 'oklch(0.72 0.18 50)' },
{ id: 'squid', label: 'SQUID (shielded room)', floorT: 1e-15, color: 'oklch(0.78 0.12 195)' },
{ id: 'mmw', label: '60 GHz mmWave (μ-Doppler)', floorT: 0, color: 'oklch(0.78 0.14 145)' },
{ id: 'csi', label: 'WiFi CSI (presence)', floorT: 0, color: 'oklch(0.72 0.18 330)' },
];
// Cardiac dipole moment (A·m²) — order-of-magnitude estimate from
// Wikswo / Bison cardiac MCG modelling.
const HEART_DIPOLE_AM2 = 5e-9;
@customElement('nv-ghost-murmur')
export class NvGhostMurmur extends LitElement {
@state() private distanceM = 0.1;
@state() private momentLog10 = -8.3; // log10(5e-9)
@state() private result: TransientRunResult | null = null;
@state() private running = false;
@state() private err: string | null = null;
static styles = css`
:host {
display: block;
height: 100%;
overflow-y: auto;
background: radial-gradient(ellipse at 50% 30%, var(--bg-2) 0%, var(--bg-0) 70%);
padding: 24px 28px 60px;
}
h1 {
margin: 0 0 4px;
font-size: 22px;
letter-spacing: -0.02em;
color: var(--ink);
}
.subtitle {
color: var(--ink-3);
font-size: 13px;
margin-bottom: 22px;
}
.links {
display: flex; flex-wrap: wrap; gap: 6px;
margin-bottom: 22px;
}
.links a {
padding: 5px 10px;
background: var(--bg-2);
border: 1px solid var(--line);
border-radius: 999px;
font-size: 11.5px;
font-family: var(--mono);
color: var(--accent-2);
text-decoration: none;
}
.links a:hover { border-color: var(--accent-2); }
h2 {
font-size: 14px;
font-weight: 600;
letter-spacing: 0.06em;
text-transform: uppercase;
color: var(--ink-3);
margin: 28px 0 10px;
}
.grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
gap: 12px;
}
.card {
background: var(--bg-2);
border: 1px solid var(--line);
border-radius: var(--radius);
padding: 14px;
}
.card h3 {
margin: 0 0 8px;
font-size: 13.5px; font-weight: 600;
color: var(--ink);
}
.card p {
font-size: 12.5px; color: var(--ink-2);
margin: 0 0 8px;
line-height: 1.5;
}
.card p:last-child { margin-bottom: 0; }
.stat {
display: inline-flex; align-items: baseline; gap: 6px;
margin-right: 10px;
}
.stat .v {
font-family: var(--mono); font-size: 16px; font-weight: 600;
color: var(--accent);
}
.stat .l {
font-size: 10px; color: var(--ink-3);
text-transform: uppercase; letter-spacing: 0.04em;
}
table {
width: 100%; border-collapse: collapse;
font-size: 12.5px;
}
th, td {
padding: 8px 10px;
text-align: left;
border-bottom: 1px solid var(--line);
}
th {
color: var(--ink-3);
font-weight: 600;
font-size: 11px;
text-transform: uppercase;
letter-spacing: 0.06em;
}
td.amber { color: var(--accent); font-family: var(--mono); }
td.cyan { color: var(--accent-2); font-family: var(--mono); }
td.bad { color: var(--bad); font-family: var(--mono); }
.pill {
display: inline-block;
padding: 1px 6px;
border-radius: 4px;
font-family: var(--mono);
font-size: 10px;
border: 1px solid var(--line);
}
.pill.ok { color: var(--ok); border-color: oklch(0.78 0.14 145 / 0.4); }
.pill.skeptical { color: var(--bad); border-color: oklch(0.65 0.22 25 / 0.4); }
.pill.partial { color: var(--warn); border-color: oklch(0.7 0.18 35 / 0.4); }
.architecture {
font-family: var(--mono);
font-size: 11px;
color: var(--ink-2);
background: var(--bg-3);
padding: 16px;
border-radius: var(--radius-sm);
border: 1px solid var(--line);
white-space: pre;
overflow-x: auto;
line-height: 1.4;
}
.ethics {
background: linear-gradient(180deg, var(--bg-2) 0%, oklch(0.65 0.22 25 / 0.04) 100%);
border: 1px solid oklch(0.65 0.22 25 / 0.25);
border-radius: var(--radius);
padding: 16px;
}
.ethics h3 { color: var(--bad); margin-top: 0; }
.ethics ul { padding-left: 18px; margin: 8px 0; }
.ethics li { font-size: 12.5px; color: var(--ink-2); margin-bottom: 4px; }
/* Demo */
.demo {
background: linear-gradient(180deg, var(--bg-2) 0%, oklch(0.78 0.14 70 / 0.04) 100%);
border: 1px solid oklch(0.78 0.14 70 / 0.3);
border-radius: var(--radius);
padding: 18px;
}
.demo-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 18px;
margin-top: 12px;
}
@media (max-width: 720px) { .demo-grid { grid-template-columns: 1fr; } }
.control { margin-bottom: 14px; }
.control .top {
display: flex; justify-content: space-between;
font-size: 12px; margin-bottom: 6px;
}
.control .top .lbl { color: var(--ink-3); }
.control .top .val {
font-family: var(--mono); color: var(--ink);
}
.control input[type="range"] {
-webkit-appearance: none; appearance: none;
width: 100%; height: 4px;
background: var(--bg-3); border-radius: 2px; outline: none;
}
.control input[type="range"]::-webkit-slider-thumb {
-webkit-appearance: none; appearance: none;
width: 14px; height: 14px; border-radius: 50%;
background: var(--accent); cursor: pointer;
border: 2px solid var(--bg-2);
}
.demo-btn {
width: 100%;
padding: 10px;
border: 1px solid var(--accent);
background: var(--accent);
color: #1a0f00;
border-radius: 8px;
font-size: 13px; font-weight: 600;
cursor: pointer;
}
.demo-btn:hover { filter: brightness(1.08); }
.demo-btn:disabled { opacity: 0.6; cursor: progress; }
.readout {
background: var(--bg-3);
border: 1px solid var(--line);
border-radius: 8px;
padding: 12px;
}
.readout-row {
display: flex; justify-content: space-between;
padding: 4px 0;
font-family: var(--mono); font-size: 12px;
}
.readout-row .l { color: var(--ink-3); }
.readout-row .v { color: var(--ink); }
.readout-row .v.amber { color: var(--accent); }
.tier-bar {
position: relative;
margin: 6px 0;
height: 22px;
background: var(--bg-3);
border: 1px solid var(--line);
border-radius: 4px;
overflow: hidden;
}
.tier-bar .fill {
position: absolute; top: 0; bottom: 0; left: 0;
transition: width 0.2s ease-out;
border-right: 2px solid;
}
.tier-bar .lbl {
position: relative; z-index: 1;
font-family: var(--mono); font-size: 11px;
padding: 3px 8px;
color: var(--ink);
display: flex; justify-content: space-between;
pointer-events: none;
}
.verdict {
margin-top: 10px;
padding: 10px 12px;
border-radius: 8px;
font-size: 12.5px; font-weight: 500;
border: 1px solid;
}
.verdict.ok { background: oklch(0.78 0.14 145 / 0.08); border-color: oklch(0.78 0.14 145 / 0.4); color: var(--ok); }
.verdict.warn { background: oklch(0.7 0.18 35 / 0.08); border-color: oklch(0.7 0.18 35 / 0.4); color: var(--warn); }
.verdict.bad { background: oklch(0.65 0.22 25 / 0.08); border-color: oklch(0.65 0.22 25 / 0.4); color: var(--bad); }
.demo-notes {
font-size: 11.5px; color: var(--ink-3);
margin-top: 10px; line-height: 1.5;
}
`;
/**
* Predicted MCG dipole field (Tesla) at distance r in metres.
* Far-field approximation: |B| ≈ μ₀ · m / (4π · r³). Source: Jackson 3e §5.
*/
private predictedDipoleFieldT(r: number, m: number): number {
const MU_0 = 4 * Math.PI * 1e-7;
return (MU_0 * m) / (4 * Math.PI * Math.pow(Math.max(r, 1e-6), 3));
}
private async runDemo(): Promise<void> {
const c = getClient();
if (!c) { this.err = 'WASM client not ready'; return; }
this.err = null;
this.running = true;
this.requestUpdate();
try {
const r = this.distanceM;
const m = Math.pow(10, this.momentLog10);
// Heart proxy at +z = r, dipole moment along z = m A·m².
const scene = {
dipoles: [{ position: [0, 0, r] as [number, number, number], moment: [0, 0, m] as [number, number, number] }],
loops: [],
ferrous: [],
eddy: [],
sensors: [[0, 0, 0] as [number, number, number]],
ambient_field: [0, 0, 0] as [number, number, number],
};
const config = {
digitiser: { f_s_hz: 10000, f_mod_hz: 1000 },
sensor: {
gamma_fwhm_hz: 1.0e6,
t1_s: 5.0e-3,
t2_s: 1.0e-6,
t2_star_s: 200e-9,
contrast: 0.03,
n_spins: 1.0e12,
shot_noise_disabled: false,
},
dt_s: null,
};
this.result = await c.runTransient(scene, config, 42n, 64);
pushLog('ok', `ghost-demo · r=${r.toFixed(3)} m · |B| recovered = ${(this.result.bMagT * 1e12).toExponential(2)} pT`);
} catch (e) {
this.err = (e as Error).message;
pushLog('err', `ghost-demo failed: ${this.err}`);
} finally {
this.running = false;
this.requestUpdate();
}
}
private formatField(t: number): string {
if (t === 0) return '0 T';
const abs = Math.abs(t);
if (abs >= 1e-3) return `${(t * 1e3).toFixed(2)} mT`;
if (abs >= 1e-6) return `${(t * 1e6).toFixed(2)} µT`;
if (abs >= 1e-9) return `${(t * 1e9).toFixed(3)} nT`;
if (abs >= 1e-12) return `${(t * 1e12).toFixed(2)} pT`;
if (abs >= 1e-15) return `${(t * 1e15).toFixed(2)} fT`;
if (abs >= 1e-18) return `${(t * 1e18).toFixed(2)} aT`;
return `${t.toExponential(2)} T`;
}
private formatDistance(r: number): string {
if (r < 1) return `${(r * 100).toFixed(1)} cm`;
if (r < 1000) return `${r.toFixed(2)} m`;
if (r < 1e5) return `${(r / 1000).toFixed(2)} km`;
return `${(r / 1609).toFixed(0)} mi`;
}
private renderDemo() {
const m = Math.pow(10, this.momentLog10);
const predicted = this.predictedDipoleFieldT(this.distanceM, m);
const recovered = this.result?.bMagT ?? 0;
const noiseFloor = (this.result?.noiseFloorPtSqrtHz ?? 0) * 1e-12; // pT/√Hz → T/√Hz
const verdictPills = TIERS.map((t) => {
let detect: 'ok' | 'warn' | 'bad' = 'bad';
let label = 'below floor';
if (t.id === 'mmw') {
if (this.distanceM <= 5) { detect = 'ok'; label = 'µ-Doppler @ chest'; }
else if (this.distanceM <= 15) { detect = 'warn'; label = 'edge of range'; }
else { detect = 'bad'; label = 'out of range'; }
} else if (t.id === 'csi') {
if (this.distanceM <= 30) { detect = this.distanceM <= 10 ? 'ok' : 'warn'; label = 'presence/breathing'; }
else { detect = 'bad'; label = 'out of range'; }
} else if (t.floorT > 0) {
const ratio = predicted / t.floorT;
if (ratio > 100) { detect = 'ok'; label = `${ratio.toExponential(1)}× floor`; }
else if (ratio > 1) { detect = 'warn'; label = `${ratio.toFixed(1)}× floor`; }
else { detect = 'bad'; label = `${(1 / ratio).toExponential(1)}× too weak`; }
}
const fillPct = t.floorT > 0
? Math.max(2, Math.min(100, 100 + 12 * Math.log10(predicted / t.floorT)))
: (t.id === 'mmw' ? Math.max(2, 100 - this.distanceM * 7) : Math.max(2, 100 - this.distanceM * 2));
return html`
<div class="tier-bar" data-tier=${t.id}>
<div class="fill" style=${`width:${fillPct}%; background:${t.color}; border-color:${t.color}`}></div>
<div class="lbl">
<span>${t.label}</span>
<span class="verdict-${detect}" style=${`color:${detect === 'ok' ? 'var(--ok)' : detect === 'warn' ? 'var(--warn)' : 'var(--bad)'}`}>${label}</span>
</div>
</div>
`;
});
const overallDetect: 'ok' | 'warn' | 'bad' =
predicted > 1e-12 ? 'ok' : predicted > 1e-15 ? 'warn' : 'bad';
const overallText =
overallDetect === 'ok'
? `Above NV-ensemble lab floor — close-range MCG plausible at ${this.formatDistance(this.distanceM)}.`
: overallDetect === 'warn'
? `Below NV ensemble best, above SQUID — research-grade only at ${this.formatDistance(this.distanceM)}.`
: `Below every published instrument's noise floor at ${this.formatDistance(this.distanceM)}. Press-release physics.`;
return html`
<div class="demo">
<h3 style="margin: 0 0 6px;">Try it yourself</h3>
<div style="font-size: 12.5px; color: var(--ink-2); margin-bottom: 4px; line-height: 1.5;">
Place a cardiac dipole at variable distance from the NV sensor. The
dashboard runs the <i>real</i> nvsim Rust pipeline (compiled to WASM)
end-to-end and reports what each tier would actually detect. Same
determinism contract as the rest of the dashboard.
</div>
<div class="demo-grid">
<div>
<div class="control">
<div class="top">
<span class="lbl">Distance from sensor</span>
<span class="val" id="demo-dist-val">${this.formatDistance(this.distanceM)}</span>
</div>
<input type="range" id="demo-distance"
min="-2" max="5" step="0.05"
.value=${String(Math.log10(this.distanceM))}
@input=${(e: Event) => { this.distanceM = Math.pow(10, +(e.target as HTMLInputElement).value); }} />
<div style="font-size: 10.5px; color: var(--ink-3); margin-top: 4px; font-family: var(--mono);">
10 cm → 100 km log scale
</div>
</div>
<div class="control">
<div class="top">
<span class="lbl">Heart dipole moment</span>
<span class="val" id="demo-moment-val">${m.toExponential(2)} A·m²</span>
</div>
<input type="range" id="demo-moment"
min="-10" max="-6" step="0.05"
.value=${String(this.momentLog10)}
@input=${(e: Event) => { this.momentLog10 = +(e.target as HTMLInputElement).value; }} />
<div style="font-size: 10.5px; color: var(--ink-3); margin-top: 4px; font-family: var(--mono);">
published cardiac MCG ≈ 5×10⁻⁹ A·m²
</div>
</div>
<button class="demo-btn" id="demo-run-btn" ?disabled=${this.running}
@click=${() => this.runDemo()}>
${this.running ? 'Running nvsim…' : '▶ Run nvsim at this distance'}
</button>
${this.err ? html`<div class="verdict bad" style="margin-top: 10px;">Error: ${this.err}</div>` : ''}
</div>
<div>
<div class="readout">
<div class="readout-row">
<span class="l">Predicted |B| (1/r³)</span>
<span class="v amber" id="demo-predicted">${this.formatField(predicted)}</span>
</div>
<div class="readout-row">
<span class="l">Recovered |B| (nvsim)</span>
<span class="v" id="demo-recovered">${this.result ? this.formatField(recovered) : '—'}</span>
</div>
<div class="readout-row">
<span class="l">Sensor noise floor</span>
<span class="v" id="demo-floor">${this.result ? this.formatField(noiseFloor) + '/√Hz' : '—'}</span>
</div>
<div class="readout-row">
<span class="l">Frames run</span>
<span class="v" id="demo-frames">${this.result?.nFrames ?? '—'}</span>
</div>
<div class="readout-row">
<span class="l">Witness (this run)</span>
<span class="v" style="font-size: 10px;" id="demo-witness">${this.result?.witnessHex.slice(0, 16) ?? '—'}…</span>
</div>
</div>
<div style="margin-top: 14px;">
<div style="font-size: 11.5px; color: var(--ink-3); text-transform: uppercase; letter-spacing: 0.06em; margin-bottom: 8px;">
Per-tier detectability
</div>
${verdictPills}
</div>
</div>
</div>
<div class="verdict ${overallDetect}" id="demo-verdict">${overallText}</div>
<div class="demo-notes">
The <code>predicted</code> value uses the closed-form magnetic-dipole
far field <code>|B| = μ₀·m / (4π·r³)</code>. The <code>recovered</code>
value comes from the same Rust pipeline that drives the Witness panel —
scene → Biot-Savart → NV ensemble → ADC → MagFrame. Use the moment
slider to ask "what if the heart were stronger?". Use the distance
slider to walk through 10 cm (clinical MCG), 1 m (close approach),
10 m (room-scale), 1 km (skeptic's range), and 65 km (the press claim).
</div>
</div>
`;
}
override render() {
return html`
<h1>Ghost Murmur — open-source reality check</h1>
<div class="subtitle">
The physics-vs-press audit for the publicly-reported April 2026
CIA NV-diamond heartbeat detector, and how RuView's existing
stack maps onto an honest, civilian version of the same idea.
</div>
<div class="links">
<a href="https://github.com/ruvnet/RuView/blob/feat/nvsim-pipeline-simulator/docs/research/quantum-sensing/16-ghost-murmur-ruview-spec.md" target="_blank" rel="noopener">
📄 Full spec (583 lines)
</a>
<a href="https://gist.github.com/ruvnet/e44d0c3f0ad10d9c4933a196a16d405c" target="_blank" rel="noopener">
✦ Public gist
</a>
<a href="https://github.com/ruvnet/RuView/issues/437" target="_blank" rel="noopener">
# Issue #437
</a>
<a href="https://www.scientificamerican.com/article/what-is-the-quantum-ghost-murmur-purportedly-used-in-iran-scientists/" target="_blank" rel="noopener">
↗ Scientific American
</a>
</div>
<h2>What the press reported</h2>
<div class="grid">
<div class="card">
<h3>The story</h3>
<p>3 Apr 2026: USAF F-15E pilot "Dude 44 Bravo" goes down in southern Iran during the regional exchange and evades for ~2 days.</p>
<p>President Trump publicly suggests detection from <b>40 miles away</b> on a mountainside at night; CIA Director Ratcliffe says "invisible to the enemy, but not to the CIA."</p>
</div>
<div class="card">
<h3>The named tech</h3>
<p><b>"Ghost Murmur"</b> — Lockheed Skunk Works system using NV defects in synthetic diamond + AI to extract a heartbeat from environmental noise.</p>
<p>Outlets: <i>Newsweek, Scientific American, Military.com, WION, Open The Magazine, Yahoo, Calcalist</i> + HN thread #47679241.</p>
</div>
<div class="card">
<h3>What physicists said</h3>
<p>Wikswo (Vanderbilt), Orzel (Union College), Roth (Oakland) — all pushing back hard.</p>
<p>"At 1 km, the heartbeat field drops to ~10⁻¹² of its 10 cm value." MCG-only at multi-mile range is <span class="pill skeptical">not consistent with published physics</span>.</p>
</div>
</div>
<h2>Live demo — nvsim WASM</h2>
${this.renderDemo()}
<h2>Physics reality check</h2>
<div class="card" style="padding: 6px 14px;">
<table>
<thead>
<tr><th>Distance</th><th>Cardiac MCG (peak QRS)</th><th>vs Earth field (~50 µT)</th></tr>
</thead>
<tbody>
<tr><td>10 cm</td><td class="amber">50 pT</td><td>10⁹× weaker</td></tr>
<tr><td>1 m</td><td class="amber">50 fT</td><td>10¹²× weaker</td></tr>
<tr><td>10 m</td><td class="cyan">50 aT</td><td>10¹⁵× weaker</td></tr>
<tr><td>1 km</td><td class="bad">5 × 10⁻²³ T</td><td>10²⁷× weaker</td></tr>
<tr><td>40 mi (65 km)</td><td class="bad">~10⁻²⁸ T</td><td>10³³× weaker</td></tr>
</tbody>
</table>
<p style="font-size: 12px; color: var(--ink-3); margin: 10px 0 0; line-height: 1.5;">
Best published NV-ensemble lab record: <b>0.9 pT/√Hz</b> [Wolf 2015].
Best SQUID in a shielded room: <b>~1 fT/√Hz</b>. To detect a single heartbeat at 10 m
you'd need ~2 billion× more sensitivity than any published ensemble has ever shown,
in a magnetically silent environment. <i>40 miles is press-release physics.</i>
</p>
</div>
<h2>RuView's three-tier mesh — what is actually buildable</h2>
<div class="architecture"> ┌──────────────────────────┐
│ Tier 3 — NV-diamond │ Range: 0.12 m (lab)
│ magnetometer ring │ Status: nvsim simulator only
│ (close-confirm) │ Hardware: $$$ (≥$8k DNV-B1)
└──────────┬───────────────┘
┌──────────┴───────────────┐
│ Tier 2 — 60 GHz FMCW │ Range: 110 m HR/BR
│ mmWave radar mesh │ Status: shipping (ADR-021)
│ (vital signs, posture) │ Hardware: $15 (MR60BHA2 + ESP32-C6)
└──────────┬───────────────┘
┌──────────┴───────────────┐
│ Tier 1 — WiFi CSI mesh │ Range: 1030 m through-wall
│ (presence, breathing, │ Status: shipping (ADR-014, ADR-029)
│ pose, intention) │ Hardware: $9 (ESP32-S3 8MB)
└──────────┬───────────────┘
┌────────────────────────────────┐
│ RuvSense multistatic fusion │
│ + cross-viewpoint attention │
│ + AETHER re-ID embeddings │
│ + Cramer-Rao gating │
└────────────────────────────────┘</div>
<h2>Press claim → RuView equivalent</h2>
<div class="card" style="padding: 6px 14px;">
<table>
<thead>
<tr><th>Press claim</th><th>RuView equivalent today</th><th>Crate / ADR</th><th>Honest range</th></tr>
</thead>
<tbody>
<tr>
<td>NV-diamond magnetometry</td>
<td>Deterministic NV pipeline simulator</td>
<td><code>nvsim</code> · ADR-089</td>
<td>Simulator only</td>
</tr>
<tr>
<td>"AI strips environmental noise"</td>
<td>RuvSense multistatic fusion + AETHER</td>
<td>signal/ruvsense/ · ADR-029</td>
<td>Mature</td>
</tr>
<tr>
<td>Heartbeat at distance</td>
<td>60 GHz FMCW HR/BR + WiFi CSI breathing</td>
<td>vitals · ADR-021</td>
<td><span class="pill ok">15 m HR · 1030 m presence</span></td>
</tr>
<tr>
<td>Long-range localisation</td>
<td>Multistatic time-of-flight + CRLB</td>
<td>ruvector/viewpoint/</td>
<td>Limited by node spacing</td>
</tr>
<tr>
<td><i>40-mile single-heartbeat detection</i></td>
<td><i>Not feasible at any tier</i></td>
<td>—</td>
<td><span class="pill skeptical">Press-release physics</span></td>
</tr>
</tbody>
</table>
</div>
<h2>Build today on $165</h2>
<div class="grid">
<div class="card">
<h3>Bill of materials</h3>
<p style="font-family: var(--mono); font-size: 11.5px; line-height: 1.7; color: var(--ink-2);">
3 × ESP32-S3 8 MB ($9 ea)<br>
3 × PoE injector + cat6 ($6 ea)<br>
1 × ESP32-C6 + Seeed MR60BHA2 ($15)<br>
1 × Raspberry Pi 5 8 GB ($80)<br>
1 × unmanaged GbE switch ($25)
</p>
<p><b>Total: $165</b></p>
</div>
<div class="card">
<h3>Honest performance</h3>
<span class="stat"><span class="v">95%</span><span class="l">TPR (LOS, 015 m)</span></span><br><br>
<span class="stat"><span class="v">±2 bpm</span><span class="l">HR (LOS 03 m)</span></span><br><br>
<span class="stat"><span class="v">±1 br/min</span><span class="l">BR (any mode)</span></span><br><br>
<span class="stat"><span class="v">~10 cm</span><span class="l">pose error</span></span><br><br>
<span class="stat"><span class="v">80150 ms</span><span class="l">end-to-end latency</span></span>
</div>
<div class="card">
<h3>Determinism</h3>
<p>Same <code style="font-family: var(--mono); color: var(--accent);">(scene, config, seed)</code> → byte-identical SHA-256 witness across browsers, OSes, transports.</p>
<p>Reference: <span style="font-family: var(--mono); font-size: 10.5px; color: var(--accent-3);">cc8de9b01b0ff5bd…</span></p>
<p>Try the Witness tab on the right — it re-derives the hash live in this browser and compares against the published reference.</p>
</div>
</div>
<h2>Privacy, ethics, legal</h2>
<div class="ethics">
<h3>This is the open-source version. Same physics, opposite governance.</h3>
<ul>
<li><b>Civilian opt-in only</b> — search-and-rescue, elder-care, occupancy, ICU vitals. Not surveillance.</li>
<li><b>No directional pursuit</b> — no beam-steering, target-following, or remote person-of-interest tracking.</li>
<li><b>Data minimisation</b> — fused output is <code>(presence, HR, BR, pose, p_alive)</code>; raw streams discarded at the edge.</li>
<li><b>PII gates</b> (ADR-040) block identifying biometric streams from leaving the local mesh without consent.</li>
<li><b>Adversarial-signal detection</b> flags physically-impossible signal patterns from compromised mesh nodes.</li>
<li><b>No export-controlled hardware</b> — RuView targets &lt; $50 COTS. ITAR/EAR sub-THz coherent radars and shielded NV ensembles are out of scope.</li>
</ul>
<p style="font-size: 11.5px; color: var(--ink-3); margin: 10px 0 0;">
RuView is not affiliated with the United States government, the CIA, Lockheed Martin,
or any classified program. References to "Ghost Murmur" in this view refer
exclusively to the publicly-reported program of that name as covered in the open
press in April 2026.
</p>
</div>
<h2>Cross-references</h2>
<div class="card">
<p style="font-size: 12px; color: var(--ink-2); line-height: 1.7; margin: 0;">
<b>ADRs:</b> 014 (signal) · 021 (vitals) · 024 (AETHER) · 027 (MERIDIAN) ·
028 (witness audit) · 029 (RuvSense) · 040 (PII gates) · 086 (ESP32 RaBitQ) ·
<b>089 (nvsim, Accepted)</b> · 090 (Lindblad, Proposed-conditional) ·
091 (sub-THz radar research) · <b>092 (this dashboard)</b>.<br><br>
<b>Primary physics:</b> Cohen 1970 · Bison 2009 · Wolf 2015 · Barry RMP 2020 · Doherty 2013 · Jackson 3e §5.6/§5.8.
</p>
</div>
`;
}
}
-458
View File
@@ -1,458 +0,0 @@
/* Help center — single dialog covering Quickstart / Glossary / FAQ /
* Shortcuts. Opened from the topbar `?` button or by pressing `?` on
* the keyboard. Self-contained, no external content. */
import { LitElement, html, css } from 'lit';
import { customElement, state } from 'lit/decorators.js';
type Section = 'quickstart' | 'glossary' | 'faq' | 'shortcuts' | 'about';
interface GlossaryItem {
term: string;
body: string;
category: 'physics' | 'rust' | 'ui';
}
const GLOSSARY: GlossaryItem[] = [
{ term: 'NV-diamond', category: 'physics', body: 'Nitrogen-vacancy defect in synthetic diamond. The simulator models a 1 mm³ ensemble (~10¹² centers) addressed by 532 nm pump light + a 2.87 GHz microwave drive. Used as a room-temperature magnetometer with shot-noise floor ~1 pT/√Hz at the published lab record.' },
{ term: 'CW-ODMR', category: 'physics', body: 'Continuously-driven optically-detected magnetic resonance. Sweep the microwave frequency around the NV zero-field splitting (D = 2.87 GHz) and watch the photoluminescence dip when the microwave matches the spin transition. The dip splits with applied magnetic field along each of the four ⟨111⟩ NV axes.' },
{ term: 'MagFrame', category: 'rust', body: 'Fixed-layout 60-byte binary record nvsim emits per (sensor × sample). Magic 0xC51A_6E70, version 1, little-endian. Carries timestamp, recovered B vector (pT), per-axis sigma, noise floor, and flag bits for saturation / shot-noise-disabled / heavy-attenuation.' },
{ term: 'Witness', category: 'rust', body: 'SHA-256 hash over the concatenated MagFrame bytes for a canonical reference run (Proof::REFERENCE_SCENE_JSON @ seed=42, N=256). Same inputs → same hash, byte-for-byte, across runs and machines. The dashboard re-derives it in WASM and compares against Proof::EXPECTED_WITNESS_HEX pinned at build time.' },
{ term: 'Determinism gate', category: 'rust', body: 'A pass/fail check: did this build of nvsim produce the expected witness? If yes → every constant (γ_e, D_GS, μ₀, contrast, T₂*, the PRNG stream, the frame layout, the pipeline ordering) is byte-identical to the published reference. If no → something drifted; the dashboard names which.' },
{ term: 'Lock-in demod', category: 'physics', body: 'Multiply the photoluminescence signal by cos(2π·f_mod·t) and low-pass to recover the slowly-varying B-field component. The simulator emulates a lock-in with output gain 2 and a single-pole IIR LP filter; settable via the Tunables panel (f_mod default 1 kHz).' },
{ term: 'Shot-noise floor', category: 'physics', body: 'δB = 1 / (γ_e · C · √(N · t · T₂*)) — the irreducible quantum noise floor for an NV ensemble. With nvsim defaults (N=10¹², C=0.03, T₂*=200 ns): ≈1.18 pT/√Hz. Toggleable via the Tunables panel for "analytic" runs without noise.' },
{ term: 'Biot-Savart', category: 'physics', body: 'Closed-form magnetic field at a point from a current loop or a magnetic dipole. The Scene panel\'s sources (heart proxy, mains loop, ferrous body, eddy current) all reduce to Biot-Savart-style superpositions over the sensor position.' },
{ term: 'Multistatic fusion', category: 'physics', body: 'Combining evidence from multiple sensors at known geometric configurations. RuView\'s Cramer-Rao-weighted attention over WiFi CSI nodes + 60 GHz radar nodes + (hypothetically) NV nodes; documented in ADR-029 and the Ghost Murmur view.' },
{ term: 'Scene', category: 'ui', body: 'The simulated magnetic environment: a list of sources (dipole, current loop, ferrous body, eddy current) plus one or more sensor positions and an ambient field. The dashboard ships a "rebar-walkby-01" reference scene; click "New scene…" in the command palette (⌘K) to build your own.' },
{ term: 'Tunables', category: 'ui', body: 'Sliders that change the running pipeline\'s digitiser config. Each edit debounces 300 ms, then rebuilds the WASM pipeline with the new f_s / f_mod / dt / shot-noise setting. The frame stream picks up the change without a restart.' },
{ term: 'Transport', category: 'ui', body: 'How the dashboard talks to nvsim. Default is WASM — the simulator runs in a Web Worker right here in your browser, no server. The optional WS transport is REST + binary WebSocket against a host-supplied nvsim-server (see ADR-092 §6.2). Toggle in Settings.' },
{ term: 'App Store', category: 'ui', body: 'Catalog of all 65+ hot-loadable WASM edge modules from wifi-densepose-wasm-edge plus the simulators. Each card carries id / category / status / event IDs; the toggle marks an app active in this session and (in WS mode) pushes the activation to a connected ESP32 mesh.' },
{ term: 'Ghost Murmur', category: 'ui', body: 'Research view that audits the publicly-reported April 2026 CIA NV-diamond heartbeat detector against the open physics literature. Includes a live "Try it yourself" sandbox where you can place a heart dipole at any distance from the sensor and ask: which transport tier would actually detect it?' },
];
const FAQ = [
{
q: 'Is this a real simulator or a mockup?',
a: 'Real. The Rust crate at v2/crates/nvsim is the same code that runs in the browser via WASM. Press <b>Verify witness</b> on the Witness panel — the SHA-256 you see is byte-equivalent to what `cargo test -p nvsim` produces.',
},
{
q: 'Why does my "Recovered |B|" sit much higher than "Predicted |B|" in the Ghost Murmur demo?',
a: 'The recovered value reads the simulator\'s ADC quantization floor, not the actual magnetic signal. With COTS-default sensor noise (~300 pT/√Hz) and 16-bit ADC at ±10 µT FS, anything below ~1 pT vanishes into ~2 nT of digitization residual. That\'s the lesson — the press claim sits far below this floor at any meaningful range.',
},
{
q: 'Can I run my own scene?',
a: 'Yes. Press ⌘K to open the command palette and pick "New scene…". You get five fields (name, dipole moment, distance, ferrous toggle, mains toggle); the dashboard builds the JSON and pushes it via <code>client.loadScene()</code>.',
},
{
q: 'Does any of my data leave the browser?',
a: 'No. WASM mode is local-only — the worker, the WASM binary, and the IndexedDB persistence all live in your browser. The optional WS transport (off by default) talks to a host of your choosing.',
},
{
q: 'What does the witness mismatch (red ✗) mean?',
a: 'The current build of nvsim produced a SHA-256 that doesn\'t match the constant pinned at compile time. Possible causes: a different Rust toolchain, a dependency version drift, a manual edit to a physics constant, or an honest bug. Audit the diff against ADR-089 §5.',
},
{
q: 'Why are the Inspector / Witness rail buttons there if there\'s already a right-side inspector?',
a: 'The right-side inspector is the compact live view; the rail buttons open a full-width version with bigger charts, an explainer header, reference-scene metadata cards, and (on Witness) a "what this verifies" panel. Both stay in sync — the right rail is for glancing, the main area is for diving in.',
},
{
q: 'Why is there an "App Store" if this is a magnetometer simulator?',
a: 'Because nvsim is one tile in a larger sensing platform. The catalog lists every hot-loadable WASM edge module RuView ships — medical, security, building, retail, industrial, signal, learning, autonomy. The simulators (nvsim today, more in future) are first-class entries in the same catalog.',
},
];
const QUICKSTART = [
{ step: 1, title: 'Hit ▶ Run', body: 'The big amber button in the topbar starts the live frame stream. The pipeline runs ~1.8 kHz on x86_64 WASM, well above the 1 kHz Cortex-A53 acceptance gate.' },
{ step: 2, title: 'Watch the B-vector trace', body: 'The Inspector → Signal tab shows the recovered field per axis updating in real time. The frame strip below it is one bar per ~32-frame batch.' },
{ step: 3, title: 'Verify the witness', body: 'Click the rail Witness button (or REPL: <code>proof.verify</code>). The dashboard re-runs the canonical reference scene and asserts the SHA-256 byte-for-byte.' },
{ step: 4, title: 'Drag a source', body: 'Grab the rebar / heart proxy / mains loop / ferrous door in the scene canvas; positions persist via IndexedDB.' },
{ step: 5, title: 'Tweak the tunables', body: 'Sliders in the left sidebar update the running pipeline (f_s, f_mod, integration time, shot-noise). Changes debounce 300 ms then push to the worker.' },
{ step: 6, title: 'Open the Ghost Murmur view', body: 'The ghost icon in the rail. Move the distance + moment sliders, hit "Run nvsim at this distance" — the live demo runs the real Rust pipeline through WASM and shows which transport tier would actually detect.' },
{ step: 7, title: 'Browse the App Store', body: 'The grid icon. 65+ edge apps: medical, security, building, retail, industrial, signal, learning. Toggle to mark active in this session.' },
];
const SHORTCUTS = [
{ keys: '⌘K / Ctrl K', label: 'Command palette' },
{ keys: 'Space', label: 'Play / pause pipeline' },
{ keys: '⌘R / Ctrl R', label: 'Reset pipeline (with confirm)' },
{ keys: '⌘, / Ctrl ,', label: 'Settings drawer' },
{ keys: '⌘N / Ctrl N', label: 'New scene' },
{ keys: '⌘E / Ctrl E', label: 'Export proof bundle' },
{ keys: '⌘/ / Ctrl /', label: 'Toggle theme (dark / light)' },
{ keys: '`', label: 'Toggle debug HUD' },
{ keys: '?', label: 'Open this help center' },
{ keys: '1 · 2 · 3', label: 'Switch inspector tab (Signal / Frame / Witness)' },
{ keys: 'Esc', label: 'Close any modal / palette / drawer' },
{ keys: '/', label: 'Focus the REPL prompt' },
];
@customElement('nv-help')
export class NvHelp extends LitElement {
@state() private open = false;
@state() private section: Section = 'quickstart';
@state() private query = '';
static styles = css`
:host {
position: fixed; inset: 0;
background: rgba(0, 0, 0, 0.55);
backdrop-filter: blur(4px);
z-index: 230;
display: grid; place-items: center;
opacity: 0; pointer-events: none;
transition: opacity 0.18s;
}
:host([open]) { opacity: 1; pointer-events: auto; }
.modal {
background: var(--bg-1);
border: 1px solid var(--line-2);
border-radius: var(--radius);
box-shadow: 0 30px 80px -20px rgba(0,0,0,0.7);
width: min(880px, 94vw);
max-height: 86vh;
display: grid;
grid-template-columns: 200px 1fr;
grid-template-rows: auto 1fr auto;
overflow: hidden;
transform: translateY(12px) scale(0.98);
transition: transform 0.22s cubic-bezier(0.2,0.7,0.3,1);
}
:host([open]) .modal { transform: translateY(0) scale(1); }
@media (max-width: 700px) {
.modal { grid-template-columns: 1fr; grid-template-rows: auto auto 1fr auto; max-height: 92vh; }
.nav { border-right: 0; border-bottom: 1px solid var(--line); flex-direction: row; overflow-x: auto; }
.nav button { white-space: nowrap; }
}
.h {
grid-column: 1 / -1;
padding: 14px 18px;
border-bottom: 1px solid var(--line);
display: flex; align-items: center; justify-content: space-between;
}
.h .ttl { font-size: 15px; font-weight: 600; }
.nav {
border-right: 1px solid var(--line);
padding: 12px 8px;
display: flex; flex-direction: column; gap: 2px;
background: var(--bg-1);
}
.nav button {
text-align: left;
padding: 8px 12px;
background: transparent;
border: 1px solid transparent;
border-radius: 6px;
color: var(--ink-3);
font-size: 12.5px;
cursor: pointer;
transition: color 0.15s, background 0.15s;
}
.nav button:hover { color: var(--ink); background: var(--bg-2); }
.nav button.on {
color: var(--ink); background: var(--bg-3);
border-color: var(--line-2);
}
.body {
padding: 18px 22px;
overflow-y: auto;
font-size: 13px;
color: var(--ink-2);
line-height: 1.6;
}
.body h2 {
margin: 0 0 8px;
font-size: 18px;
color: var(--ink);
letter-spacing: -0.01em;
}
.body .lead {
color: var(--ink-3);
font-size: 12.5px;
margin: 0 0 14px;
}
.body p { margin: 0 0 12px; }
.body code {
font-family: var(--mono);
background: var(--bg-3);
padding: 1px 5px;
border-radius: 4px;
font-size: 11.5px;
color: var(--accent);
}
.body kbd {
font-family: var(--mono);
padding: 2px 6px;
background: var(--bg-3);
border: 1px solid var(--line);
border-radius: 4px;
font-size: 11.5px;
color: var(--ink);
}
.step {
display: grid;
grid-template-columns: 32px 1fr;
gap: 12px;
padding: 10px 0;
border-bottom: 1px solid var(--line);
}
.step:last-child { border-bottom: 0; }
.step .num {
width: 26px; height: 26px;
border-radius: 50%;
background: var(--accent);
color: #1a0f00;
font-family: var(--mono);
font-size: 12.5px;
font-weight: 700;
display: grid; place-items: center;
}
.step .ttl { color: var(--ink); font-weight: 600; font-size: 13.5px; margin-bottom: 2px; }
.step .body-text { font-size: 12.5px; color: var(--ink-2); line-height: 1.55; }
.glossary-search {
width: 100%;
padding: 8px 12px;
background: var(--bg-3);
border: 1px solid var(--line);
border-radius: 6px;
font-family: var(--mono);
font-size: 12.5px;
color: var(--ink);
outline: none;
margin-bottom: 14px;
}
.glossary-search:focus { border-color: var(--accent); }
.term {
padding: 10px 0;
border-bottom: 1px solid var(--line);
}
.term:last-child { border-bottom: 0; }
.term .head {
display: flex; align-items: center; gap: 8px; margin-bottom: 4px;
}
.term .name {
font-family: var(--mono);
font-size: 13.5px;
color: var(--accent);
font-weight: 600;
}
.term .badge {
font-family: var(--mono);
font-size: 9.5px;
padding: 1px 6px;
border-radius: 4px;
border: 1px solid var(--line);
text-transform: uppercase;
letter-spacing: 0.04em;
}
.term .badge.physics { color: var(--accent-2); border-color: oklch(0.78 0.12 195 / 0.4); }
.term .badge.rust { color: var(--accent); border-color: oklch(0.78 0.14 70 / 0.4); }
.term .badge.ui { color: var(--accent-4); border-color: oklch(0.78 0.14 145 / 0.4); }
.term .body-text {
font-size: 12.5px;
color: var(--ink-2);
line-height: 1.55;
}
.faq-item {
padding: 10px 0;
border-bottom: 1px solid var(--line);
}
.faq-item:last-child { border-bottom: 0; }
.faq-item .q {
color: var(--ink);
font-weight: 600;
font-size: 13.5px;
margin-bottom: 4px;
}
.faq-item .a { font-size: 12.5px; color: var(--ink-2); line-height: 1.55; }
.shortcuts {
display: grid;
grid-template-columns: auto 1fr;
gap: 8px 16px;
align-items: baseline;
}
.f {
grid-column: 1 / -1;
padding: 10px 18px;
border-top: 1px solid var(--line);
display: flex; align-items: center; justify-content: space-between;
font-size: 11.5px; color: var(--ink-3);
}
.close {
width: 28px; height: 28px;
background: transparent; border: 1px solid var(--line);
border-radius: 6px;
color: var(--ink-2);
cursor: pointer;
}
.close:hover { color: var(--ink); border-color: var(--line-2); }
`;
override connectedCallback(): void {
super.connectedCallback();
window.addEventListener('nv-show-help', this.show as EventListener);
window.addEventListener('nv-show-help-close', this.closeListener);
window.addEventListener('keydown', this.onKey);
}
override disconnectedCallback(): void {
super.disconnectedCallback();
window.removeEventListener('nv-show-help', this.show as EventListener);
window.removeEventListener('nv-show-help-close', this.closeListener);
window.removeEventListener('keydown', this.onKey);
}
private closeListener = (): void => this.close();
private show = (e: Event): void => {
const detail = (e as CustomEvent).detail as { section?: Section } | undefined;
if (detail?.section) this.section = detail.section;
this.open = true;
this.setAttribute('open', '');
};
private close(): void {
this.open = false;
this.removeAttribute('open');
}
private onKey = (e: KeyboardEvent): void => {
const target = e.target as HTMLElement | null;
const isInput = target?.tagName === 'INPUT' || target?.tagName === 'TEXTAREA';
if (e.key === '?' && !isInput && !e.ctrlKey && !e.metaKey) {
e.preventDefault();
this.show(new CustomEvent('nv-show-help'));
} else if (e.key === 'Escape' && this.open) {
this.close();
}
};
private filteredGlossary(): GlossaryItem[] {
if (!this.query.trim()) return GLOSSARY;
const q = this.query.toLowerCase();
return GLOSSARY.filter((g) =>
g.term.toLowerCase().includes(q) || g.body.toLowerCase().includes(q),
);
}
private renderQuickstart() {
return html`
<h2>Quickstart</h2>
<p class="lead">Seven taps to get from "I just opened the dashboard" to "I'm running my own scene with verified determinism."</p>
<button
style="display:inline-flex; align-items:center; gap:8px; padding:10px 16px; margin-bottom:14px; background:var(--accent); color:#1a0f00; border:none; border-radius:8px; font-size:13px; font-weight:600; cursor:pointer; font-family:inherit;"
@click=${() => { window.dispatchEvent(new CustomEvent('nv-show-help-close')); window.dispatchEvent(new CustomEvent('nv-show-tour')); }}>
★ Take the interactive 10-step tour
</button>
${QUICKSTART.map((s) => html`
<div class="step">
<div class="num">${s.step}</div>
<div>
<div class="ttl">${s.title}</div>
<div class="body-text" .innerHTML=${s.body}></div>
</div>
</div>
`)}
`;
}
private renderGlossary() {
const items = this.filteredGlossary();
return html`
<h2>Glossary</h2>
<p class="lead">Every piece of jargon in the dashboard, defined in one paragraph each.</p>
<input class="glossary-search" type="text" placeholder="Search 14 terms…"
.value=${this.query}
@input=${(e: Event) => this.query = (e.target as HTMLInputElement).value} />
${items.length === 0
? html`<p style="color: var(--ink-3);">No terms match.</p>`
: items.map((g) => html`
<div class="term">
<div class="head">
<span class="name">${g.term}</span>
<span class="badge ${g.category}">${g.category}</span>
</div>
<div class="body-text">${g.body}</div>
</div>
`)}
`;
}
private renderFaq() {
return html`
<h2>FAQ</h2>
<p class="lead">The questions I was asked twice in the first week of demos.</p>
${FAQ.map((item) => html`
<div class="faq-item">
<div class="q">${item.q}</div>
<div class="a" .innerHTML=${item.a}></div>
</div>
`)}
`;
}
private renderShortcuts() {
return html`
<h2>Keyboard shortcuts</h2>
<p class="lead">Everything is reachable without a mouse.</p>
<div class="shortcuts">
${SHORTCUTS.map((s) => html`
<kbd>${s.keys}</kbd><span>${s.label}</span>
`)}
</div>
`;
}
private renderAbout() {
return html`
<h2>About this dashboard</h2>
<p class="lead">What you're looking at, in one screen.</p>
<p><b>nvsim</b> is a deterministic forward simulator for nitrogen-vacancy diamond magnetometry.
The Rust crate at <code>v2/crates/nvsim</code> is the source of truth; this dashboard is a
Vite + Lit single-page app that ships the crate compiled to WebAssembly inside a Web Worker.</p>
<p>The defining commitment is <b>determinism</b>: same <code>(scene, config, seed)</code> →
byte-identical SHA-256 witness across browsers, OSes, and transports. Press the
<kbd>Verify witness</kbd> button on the Witness tab to assert this live.</p>
<p>The codebase is open source (Apache-2.0 OR MIT). Find it on GitHub:
<code>github.com/ruvnet/RuView</code>. Decisions are documented in ADRs 089 (nvsim),
090 (Lindblad extension, conditional), 091 (sub-THz radar research),
092 (this dashboard), 093 (UX gap analysis).</p>
<p>This dashboard is one of several RuView demos. Sibling demos at
<code>github.io/RuView/</code> include the Observatory and Pose Fusion views.</p>
`;
}
override render() {
return html`
<div class="modal" role="dialog" aria-modal="true" aria-label="Help center">
<div class="h">
<div class="ttl">Help</div>
<button class="close" aria-label="Close help" @click=${() => this.close()}>×</button>
</div>
<nav class="nav" role="tablist" aria-label="Help sections">
${(['quickstart', 'glossary', 'faq', 'shortcuts', 'about'] as Section[]).map((s) => html`
<button class=${this.section === s ? 'on' : ''} role="tab"
aria-selected=${this.section === s}
@click=${() => this.section = s}>
${s === 'quickstart' ? '🚀 Quickstart'
: s === 'glossary' ? '📖 Glossary'
: s === 'faq' ? '? FAQ'
: s === 'shortcuts' ? '⌨ Shortcuts'
: ' About'}
</button>
`)}
</nav>
<div class="body" role="tabpanel">
${this.section === 'quickstart' ? this.renderQuickstart()
: this.section === 'glossary' ? this.renderGlossary()
: this.section === 'faq' ? this.renderFaq()
: this.section === 'shortcuts' ? this.renderShortcuts()
: this.renderAbout()}
</div>
<div class="f">
<span>Press <kbd style="font-family:var(--mono);font-size:10.5px;padding:1px 4px;background:var(--bg-3);border:1px solid var(--line);border-radius:3px;">?</kbd> any time to reopen</span>
<span>nvsim · Apache-2.0 OR MIT</span>
</div>
</div>
`;
}
}
export function showHelp(section?: Section): void {
window.dispatchEvent(new CustomEvent('nv-show-help', { detail: { section } }));
}
-270
View File
@@ -1,270 +0,0 @@
/* Home view — friendly landing surface for new users.
*
* The full-power scene + sidebar + inspector + console are intentionally
* dense; that's the operator surface. Home is for first-time visitors:
* a single hero CTA, four quick-jump action cards, and a 1-paragraph
* explanation of what this dashboard is. No jargon above the fold.
*/
import { LitElement, html, css } from 'lit';
import { customElement } from 'lit/decorators.js';
import { effect } from '@preact/signals-core';
import { running, getClient, witnessVerified, fps, pushLog } from '../store/appStore';
export type Action = 'scene' | 'apps' | 'witness' | 'ghost-murmur' | 'help' | 'tour';
@customElement('nv-home')
export class NvHome extends LitElement {
static styles = css`
:host {
display: block;
height: 100%;
overflow-y: auto;
background: radial-gradient(ellipse at 50% 30%, var(--bg-2) 0%, var(--bg-0) 70%);
padding: 28px clamp(16px, 6vw, 56px) 60px;
}
.hero {
max-width: 800px;
margin: 16px auto 28px;
text-align: center;
}
.hero .icon {
width: 56px; height: 56px;
margin: 0 auto 18px;
border-radius: 14px;
background: linear-gradient(135deg, oklch(0.78 0.14 70) 0%, oklch(0.55 0.16 30) 100%);
display: grid; place-items: center;
font-family: var(--mono);
font-weight: 700;
font-size: 18px;
color: #1a0f00;
box-shadow: 0 8px 24px -6px oklch(0.55 0.16 30 / 0.4);
}
.hero h1 {
margin: 0 0 8px;
font-size: clamp(24px, 4vw, 34px);
letter-spacing: -0.02em;
color: var(--ink);
line-height: 1.15;
}
.hero .tag {
font-size: clamp(13px, 1.6vw, 15px);
color: var(--ink-2);
margin: 0 0 22px;
line-height: 1.55;
}
.hero .ctas {
display: flex; flex-wrap: wrap; gap: 8px;
justify-content: center;
}
.cta {
padding: 11px 20px;
border-radius: 10px;
font-size: 14px;
font-weight: 600;
cursor: pointer;
font-family: inherit;
border: 1px solid var(--line);
background: var(--bg-2);
color: var(--ink);
transition: transform 0.12s, border-color 0.12s, filter 0.12s;
}
.cta:hover { transform: translateY(-1px); border-color: var(--line-2); }
.cta.primary {
background: var(--accent);
border-color: var(--accent);
color: #1a0f00;
}
.cta.primary:hover { filter: brightness(1.08); }
.status {
display: inline-flex; align-items: center; gap: 8px;
padding: 6px 12px;
background: var(--bg-2);
border: 1px solid var(--line);
border-radius: 999px;
font-size: 12px;
font-family: var(--mono);
color: var(--ink-2);
margin-top: 18px;
}
.status .dot {
width: 8px; height: 8px; border-radius: 50%;
background: var(--ink-3);
}
.status.live .dot {
background: var(--ok);
box-shadow: 0 0 8px var(--ok);
animation: pulse 2s infinite;
}
@keyframes pulse { 50% { opacity: 0.5; } }
.grid {
max-width: 980px;
margin: 36px auto 0;
display: grid;
grid-template-columns: repeat(auto-fit, minmax(260px, 1fr));
gap: 14px;
}
.card {
background: var(--bg-2);
border: 1px solid var(--line);
border-radius: var(--radius);
padding: 18px 20px;
cursor: pointer;
transition: transform 0.12s, border-color 0.12s, background 0.12s;
display: flex; flex-direction: column; gap: 6px;
text-align: left;
color: inherit;
}
.card:hover {
transform: translateY(-2px);
border-color: var(--accent);
background: linear-gradient(180deg, var(--bg-2) 0%, oklch(0.78 0.14 70 / 0.04) 100%);
}
.card .ico {
font-size: 22px;
line-height: 1;
margin-bottom: 4px;
}
.card h3 {
margin: 0;
font-size: 14.5px;
font-weight: 600;
color: var(--ink);
letter-spacing: -0.01em;
}
.card p {
margin: 0;
font-size: 12.5px;
color: var(--ink-2);
line-height: 1.55;
}
.card .arrow {
color: var(--accent);
font-family: var(--mono);
font-size: 11.5px;
margin-top: 6px;
}
.footnote {
max-width: 800px;
margin: 36px auto 0;
text-align: center;
font-size: 12px;
color: var(--ink-3);
line-height: 1.55;
}
.footnote code {
font-family: var(--mono);
background: var(--bg-3);
padding: 1px 5px;
border-radius: 4px;
color: var(--accent);
font-size: 11px;
}
.footnote a {
color: var(--accent-2);
text-decoration: underline dotted;
cursor: pointer;
}
`;
override connectedCallback(): void {
super.connectedCallback();
effect(() => { running.value; witnessVerified.value; fps.value; this.requestUpdate(); });
}
private go(action: Action): void {
if (action === 'tour') { window.dispatchEvent(new CustomEvent('nv-show-tour')); return; }
if (action === 'help') { window.dispatchEvent(new CustomEvent('nv-show-help')); return; }
this.dispatchEvent(new CustomEvent('navigate', { detail: action, bubbles: true, composed: true }));
}
private async runDemo(): Promise<void> {
const c = getClient(); if (!c) return;
if (running.value) return;
await c.run();
running.value = true;
pushLog('ok', 'demo started · streaming MagFrames');
}
override render() {
const isRunning = running.value;
const wasVerified = witnessVerified.value === 'ok';
return html`
<div class="hero">
<div class="icon" aria-hidden="true">NV</div>
<h1>An open-source quantum-magnetometer simulator, in your browser.</h1>
<p class="tag">
nvsim runs a real Rust simulator (the same code that
<code style="font-family:var(--mono); background:var(--bg-3); padding:1px 5px; border-radius:4px; color:var(--accent); font-size:12px;">cargo&nbsp;test</code>
uses) entirely in WebAssembly. No server, no upload, no telemetry.
Press the button to start the live magnetic-field simulation, or
take the 60-second tour first.
</p>
<div class="ctas">
<button class="cta primary" id="home-run-btn" @click=${() => this.runDemo()}>
${isRunning ? '✓ Demo running' : '▶ Run the simulation'}
</button>
<button class="cta" id="home-tour-btn" @click=${() => this.go('tour')}>
★ Take the 60-second tour
</button>
<button class="cta" id="home-help-btn" @click=${() => this.go('help')}>
? Help center
</button>
</div>
<div class="status ${isRunning ? 'live' : ''}">
<span class="dot"></span>
${isRunning
? html`Live · ${fps.value > 0 ? (fps.value / 1000).toFixed(2) + ' kHz' : 'starting…'}${wasVerified ? ' · witness verified ✓' : ''}`
: html`Idle${wasVerified ? ' · witness verified ✓' : ''}`}
</div>
</div>
<div class="grid">
<div class="card" tabindex="0" role="button"
@click=${() => this.go('scene')}
@keydown=${(e: KeyboardEvent) => { if (e.key === 'Enter' || e.key === ' ') { e.preventDefault(); this.go('scene'); } }}>
<div class="ico">🌐</div>
<h3>Live scene</h3>
<p>Drag magnetic sources, watch the recovered field update in real time, and tweak sample rate / noise / integration.</p>
<div class="arrow">Open scene →</div>
</div>
<div class="card" tabindex="0" role="button"
@click=${() => this.go('apps')}
@keydown=${(e: KeyboardEvent) => { if (e.key === 'Enter' || e.key === ' ') { e.preventDefault(); this.go('apps'); } }}>
<div class="ico">🛍</div>
<h3>App Store · 66 edge apps</h3>
<p>Browse 65 hot-loadable WASM sensing modules across medical, security, building, retail, industrial, learning. Six run live in the browser.</p>
<div class="arrow">Browse the catalogue →</div>
</div>
<div class="card" tabindex="0" role="button"
@click=${() => this.go('witness')}
@keydown=${(e: KeyboardEvent) => { if (e.key === 'Enter' || e.key === ' ') { e.preventDefault(); this.go('witness'); } }}>
<div class="ico">✓</div>
<h3>Determinism gate</h3>
<p>Re-derive the SHA-256 witness for the canonical reference scene right here in your browser. Same inputs → same hash, every time.</p>
<div class="arrow">Verify the witness →</div>
</div>
<div class="card" tabindex="0" role="button"
@click=${() => this.go('ghost-murmur')}
@keydown=${(e: KeyboardEvent) => { if (e.key === 'Enter' || e.key === ' ') { e.preventDefault(); this.go('ghost-murmur'); } }}>
<div class="ico">👻</div>
<h3>Ghost Murmur reality check</h3>
<p>Audit the publicly-reported April 2026 CIA NV-diamond program against published physics. Live distance/moment sliders.</p>
<div class="arrow">Read the spec →</div>
</div>
</div>
<p class="footnote">
New here? <a @click=${() => this.go('tour')}>Take the 60-second guided tour</a>
— every panel is explained. Or press <code>?</code> for the help center
(quickstart, glossary, FAQ, shortcuts) any time.<br>
Open source · Apache-2.0 OR MIT · <code>github.com/ruvnet/RuView</code>
</p>
`;
}
}
-434
View File
@@ -1,434 +0,0 @@
/* Inspector — tabbed: Signal / Frame / Witness. */
import { LitElement, html, css, svg, type PropertyValues } from 'lit';
import { customElement, state, property } from 'lit/decorators.js';
import { effect } from '@preact/signals-core';
import {
traceX, traceY, traceZ, stripBars, lastFrame,
witnessHex, expectedWitness, witnessVerified, getClient,
pushLog, lastB, bMag,
} from '../store/appStore';
type Tab = 'signal' | 'frame' | 'witness';
@customElement('nv-inspector')
export class NvInspector extends LitElement {
@state() private tab: Tab = 'signal';
/** When set by the parent, force the tab and pulse-highlight it. */
@property({ attribute: false }) pinTab: Tab | null = null;
/** When `expanded`, the inspector renders as a full-screen view with bigger
* charts and a wider Witness panel. Used when the rail Inspector/Witness
* button is clicked — see ADR-093 P1.13. */
@property({ type: Boolean, reflect: true }) expanded = false;
static styles = css`
:host {
display: flex; flex-direction: column;
background: var(--bg-1);
border-left: 1px solid var(--line);
overflow: hidden;
height: 100%;
}
:host([expanded]) {
border-left: 0;
background: radial-gradient(ellipse at 50% 30%, var(--bg-2) 0%, var(--bg-0) 70%);
}
:host([expanded]) .tabs {
padding: 0 24px;
background: var(--bg-1);
}
:host([expanded]) .tab {
padding: 16px 22px;
font-size: 13.5px;
flex: 0 0 auto;
}
:host([expanded]) .body {
padding: 24px 28px;
max-width: 1400px;
width: 100%;
margin: 0 auto;
}
:host([expanded]) .card { padding: 18px 20px; }
:host([expanded]) .card-h .ttl { font-size: 14px; }
:host([expanded]) svg { height: 220px; }
:host([expanded]) .frame-strip { height: 48px; }
:host([expanded]) table { font-size: 12.5px; }
:host([expanded]) td { padding: 6px 0; }
:host([expanded]) .hex { font-size: 12px; padding: 14px; line-height: 1.7; }
:host([expanded]) .witness-box { font-size: 13px; padding: 14px 16px; line-height: 1.6; }
:host([expanded]) .verify-btn { padding: 12px; font-size: 13px; }
:host([expanded]) .grid-2 {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 16px;
}
:host([expanded]) .grid-2 > .card { margin-bottom: 0; }
@media (max-width: 1024px) {
:host([expanded]) .grid-2 { grid-template-columns: 1fr; }
}
.tabs {
display: flex; border-bottom: 1px solid var(--line);
}
.tab {
flex: 1;
padding: 11px 8px;
background: transparent; border: none;
font-size: 11.5px; font-weight: 500;
color: var(--ink-3);
border-bottom: 2px solid transparent;
cursor: pointer; transition: color 0.15s, border-color 0.15s;
}
.tab.active { color: var(--ink); border-bottom-color: var(--accent); }
.tab:hover { color: var(--ink-2); }
.body { padding: 14px; flex: 1; overflow-y: auto; }
.card {
background: var(--bg-2); border: 1px solid var(--line);
border-radius: var(--radius); padding: 12px;
margin-bottom: 12px;
}
.card-h {
display: flex; justify-content: space-between; align-items: center;
margin-bottom: 8px;
}
.card-h .ttl { font-size: 12px; font-weight: 600; }
.badge {
font-family: var(--mono); font-size: 10px;
padding: 2px 6px;
background: oklch(0.78 0.14 195 / 0.12);
color: var(--accent-2);
border-radius: 4px;
border: 1px solid oklch(0.78 0.14 195 / 0.3);
}
svg { width: 100%; height: 130px; }
.frame-strip {
height: 28px;
display: flex; align-items: flex-end; gap: 1px;
padding: 4px 0;
}
.bar {
flex: 1;
background: linear-gradient(to top, var(--accent-2), var(--accent));
border-radius: 1px;
min-height: 2px;
}
table { width: 100%; border-collapse: collapse; font-family: var(--mono); font-size: 10.5px; }
td { padding: 4px 0; border-bottom: 1px solid var(--line); }
td:first-child { color: var(--ink-3); }
td:last-child { text-align: right; color: var(--ink); }
.hex {
background: var(--bg-3);
border: 1px solid var(--line);
border-radius: var(--radius-sm);
padding: 10px;
font-family: var(--mono);
font-size: 10.5px;
color: var(--ink-2);
line-height: 1.6;
overflow-x: auto;
white-space: nowrap;
}
.hex .magic { color: var(--accent); font-weight: 600; }
.witness-box {
font-family: var(--mono);
font-size: 11px;
color: var(--ink-2);
background: var(--bg-3);
border: 1px solid var(--line);
border-radius: 6px;
padding: 8px 10px;
word-break: break-all;
line-height: 1.5;
}
.verify-btn {
margin-top: 10px;
width: 100%;
padding: 8px;
border: 1px solid var(--line);
background: var(--bg-3);
color: var(--ink);
border-radius: 8px;
cursor: pointer;
font-family: var(--mono);
font-size: 12px;
}
.verify-btn:hover { border-color: var(--accent); }
.verify-btn.ok { border-color: var(--ok); color: var(--ok); }
.verify-btn.fail { border-color: var(--bad); color: var(--bad); }
`;
override connectedCallback(): void {
super.connectedCallback();
effect(() => {
traceX.value; traceY.value; traceZ.value; stripBars.value;
lastFrame.value; witnessHex.value; witnessVerified.value;
lastB.value; bMag.value;
this.requestUpdate();
});
}
override willUpdate(changed: PropertyValues): void {
// Apply parent-driven tab pin during willUpdate so the new tab value
// participates in this same render pass — avoids the "update after
// update completed" Lit warning that would fire if we did this in
// updated().
if (changed.has('pinTab') && this.pinTab && this.tab !== this.pinTab) {
this.tab = this.pinTab;
}
}
private async verify(): Promise<void> {
const c = getClient(); if (!c) return;
witnessVerified.value = 'pending';
pushLog('info', 'verifying witness over 256 frames…');
try {
const exp = expectedWitness.value;
const expBytes = new Uint8Array(32);
for (let i = 0; i < 32; i++) expBytes[i] = parseInt(exp.slice(i * 2, i * 2 + 2), 16);
const r = await c.verifyWitness(expBytes);
if (r.ok) {
witnessVerified.value = 'ok';
witnessHex.value = exp;
pushLog('ok', `witness ${exp.slice(0, 16)}… matches · determinism gate ✓`);
} else {
witnessVerified.value = 'fail';
const actual = Array.from(r.actual).map((b) => b.toString(16).padStart(2, '0')).join('');
witnessHex.value = actual;
pushLog('err', `WITNESS MISMATCH actual=${actual.slice(0, 16)}`);
}
} catch (e) {
witnessVerified.value = 'fail';
pushLog('err', `verify failed: ${(e as Error).message}`);
}
}
private renderHeader() {
if (!this.expanded) return '';
const titles: Record<Tab, string> = {
signal: 'Signal inspector — live B-vector trace + frame stream',
frame: 'Frame inspector — MagFrame v1 fields + raw bytes',
witness: 'Witness panel — SHA-256 determinism gate',
};
return html`
<h1 style="margin: 8px 0 14px; font-size: 20px; letter-spacing: -0.01em;">
${titles[this.tab]}
</h1>
<p style="margin: 0 0 18px; font-size: 12.5px; color: var(--ink-3); line-height: 1.55; max-width: 780px;">
${this.tab === 'signal'
? 'Real-time recovered field-vector and frame-stream sparkline. Both update at the running pipeline\'s frame rate. Use the Tunables panel in the sidebar to change f_s, f_mod, dt, and shot-noise behaviour.'
: this.tab === 'frame'
? 'Decoded view of the most recent MagFrame: typed fields plus the raw 60-byte little-endian binary record (magic 0xC51A_6E70).'
: 'Re-derive the SHA-256 witness for the canonical reference scene (seed=42, N=256) right now in your browser and compare against Proof::EXPECTED_WITNESS_HEX. Same inputs → same hash, byte-for-byte, across every machine and transport.'}
</p>
`;
}
private renderSignalTab() {
const W = 320, H = 130, cy = 65, scale = 22;
const cap = 200;
const make = (arr: number[]) => {
let p = '';
arr.forEach((v, i) => {
const x = (i / Math.max(1, cap - 1)) * W;
const y = cy - v * scale;
p += (i === 0 ? 'M' : 'L') + ` ${x.toFixed(1)} ${y.toFixed(1)} `;
});
return p;
};
const b = lastB.value;
const bnT = [b[0] * 1e9, b[1] * 1e9, b[2] * 1e9];
const hasData = traceX.value.length > 0;
return html`
${!hasData ? html`
<div class="card" style="text-align:center; padding:18px;">
<div style="font-size:13px; color:var(--ink-2); line-height:1.55;">
No frames yet. Press <b>▶ Run</b> in the topbar (or hit <code style="font-family:var(--mono);background:var(--bg-3);padding:1px 5px;border-radius:4px;color:var(--accent);">Space</code>)
to start the live B-vector trace.
</div>
</div>
` : ''}
<div class=${this.expanded ? 'grid-2' : ''}>
<div class="card">
<div class="card-h">
<span class="ttl">B-vector trace</span>
<span class="badge">3-axis · nT</span>
</div>
<svg viewBox="0 0 ${W} ${H}" preserveAspectRatio="none">
<line x1="0" y1=${cy} x2=${W} y2=${cy} stroke="var(--line)" stroke-width="0.5"/>
${svg`<path id="trace-x" d=${make(traceX.value)} stroke="oklch(0.78 0.14 70)" stroke-width="1.2" fill="none"/>`}
${svg`<path id="trace-y" d=${make(traceY.value)} stroke="oklch(0.78 0.12 195)" stroke-width="1.2" fill="none" opacity="0.8"/>`}
${svg`<path id="trace-z" d=${make(traceZ.value)} stroke="oklch(0.72 0.18 330)" stroke-width="1.2" fill="none" opacity="0.7"/>`}
</svg>
${this.expanded ? html`<div style="display:flex;gap:14px;font-size:12px;font-family:var(--mono);margin-top:8px;">
<span style="color:oklch(0.78 0.14 70);">x: ${bnT[0].toFixed(3)} nT</span>
<span style="color:oklch(0.78 0.12 195);">y: ${bnT[1].toFixed(3)} nT</span>
<span style="color:oklch(0.72 0.18 330);">z: ${bnT[2].toFixed(3)} nT</span>
<span style="color:var(--accent);margin-left:auto;">|B| ${(bMag.value * 1e9).toFixed(3)} nT</span>
</div>` : ''}
</div>
<div class="card">
<div class="card-h">
<span class="ttl">Frame stream</span>
<span class="badge" id="strip-rate">live</span>
</div>
<div class="frame-strip" id="frame-strip">
${stripBars.value.map((v) => html`<div class="bar" style=${`height:${Math.max(4, v * 100)}%`}></div>`)}
</div>
${this.expanded ? html`
<div style="display:flex;gap:24px;font-family:var(--mono);font-size:12px;color:var(--ink-3);margin-top:12px;">
<span>frames in window: <span style="color:var(--ink);">${stripBars.value.length}</span></span>
<span>noise floor: <span style="color:var(--ink);">${lastFrame.value ? lastFrame.value.noiseFloorPtSqrtHz.toFixed(2) + ' pT/√Hz' : '—'}</span></span>
</div>` : ''}
</div>
</div>
`;
}
private renderFrameTab() {
const f = lastFrame.value;
const bytes = f?.raw;
let hex = '';
if (bytes) {
const arr = Array.from(bytes).map((b) => b.toString(16).padStart(2, '0'));
hex = arr.slice(0, 60).join(' ');
}
return html`
${!f ? html`
<div class="card" style="text-align:center; padding:18px;">
<div style="font-size:13px; color:var(--ink-2); line-height:1.55;">
No MagFrame to display yet. Start the pipeline (<b>▶ Run</b>) to populate.
</div>
</div>
` : ''}
<div class=${this.expanded ? 'grid-2' : ''}>
<div class="card">
<div class="card-h">
<span class="ttl">MagFrame v1 fields</span>
<span class="badge">60 B</span>
</div>
<table>
<tr><td>magic</td><td id="frame-magic">${f ? '0x' + f.magic.toString(16).toUpperCase() : '—'}</td></tr>
<tr><td>version</td><td>${f?.version ?? '—'}</td></tr>
<tr><td>flags</td><td>0x${(f?.flags ?? 0).toString(16).padStart(4, '0')}</td></tr>
<tr><td>sensor_id</td><td>${f?.sensorId ?? '—'}</td></tr>
<tr><td>t_us</td><td>${f ? f.tUs.toString() : '—'}</td></tr>
<tr><td>b_pT[0]</td><td id="frame-bx">${f ? f.bPt[0].toFixed(1) : '—'}</td></tr>
<tr><td>b_pT[1]</td><td id="frame-by">${f ? f.bPt[1].toFixed(1) : '—'}</td></tr>
<tr><td>b_pT[2]</td><td id="frame-bz">${f ? f.bPt[2].toFixed(1) : '—'}</td></tr>
<tr><td>noise_floor</td><td>${f ? f.noiseFloorPtSqrtHz.toFixed(2) : '—'}</td></tr>
<tr><td>temp_K</td><td>${f ? f.temperatureK.toFixed(1) : '—'}</td></tr>
</table>
</div>
<div class="card">
<div class="card-h">
<span class="ttl">Hex dump</span>
<span class="badge">LE</span>
</div>
<div class="hex" id="frame-hex">${hex || '—'}</div>
${this.expanded ? html`
<div style="font-size: 11.5px; color: var(--ink-3); margin-top: 10px; line-height: 1.6;">
Layout (little-endian): <code>magic(u32) version(u16) flags(u16) sensor_id(u16) _reserved(u16) t_us(u64) b_pt[3](f32) sigma_pt[3](f32) noise_floor(f32) temp_K(f32)</code>.
</div>` : ''}
</div>
</div>
`;
}
private renderWitnessTab() {
const status = witnessVerified.value;
const cls = status === 'ok' ? 'ok' : status === 'fail' ? 'fail' : '';
const label =
status === 'pending' ? 'Verifying…' :
status === 'ok' ? '✓ Witness verified · determinism gate' :
status === 'fail' ? '✗ Witness mismatch · audit required' :
'Verify witness';
const match = expectedWitness.value && witnessHex.value && expectedWitness.value === witnessHex.value;
return html`
${this.expanded ? html`
<div style="display:grid;grid-template-columns:repeat(auto-fit, minmax(180px, 1fr));gap:12px;margin-bottom:18px;">
<div class="card" style="margin:0;">
<div style="font-size:10px;color:var(--ink-3);text-transform:uppercase;letter-spacing:0.06em;">Reference scene</div>
<div style="font-family:var(--mono);font-size:14px;color:var(--ink);margin-top:4px;">Proof::REFERENCE</div>
<div style="font-size:11.5px;color:var(--ink-3);margin-top:2px;">2 dipoles · 1 loop · 1 ferrous · 1 sensor</div>
</div>
<div class="card" style="margin:0;">
<div style="font-size:10px;color:var(--ink-3);text-transform:uppercase;letter-spacing:0.06em;">Seed</div>
<div style="font-family:var(--mono);font-size:14px;color:var(--accent);margin-top:4px;">0x0000002A</div>
<div style="font-size:11.5px;color:var(--ink-3);margin-top:2px;">canonical Proof::SEED</div>
</div>
<div class="card" style="margin:0;">
<div style="font-size:10px;color:var(--ink-3);text-transform:uppercase;letter-spacing:0.06em;">Sample count</div>
<div style="font-family:var(--mono);font-size:14px;color:var(--ink);margin-top:4px;">256</div>
<div style="font-size:11.5px;color:var(--ink-3);margin-top:2px;">Proof::N_SAMPLES</div>
</div>
<div class="card" style="margin:0;">
<div style="font-size:10px;color:var(--ink-3);text-transform:uppercase;letter-spacing:0.06em;">Status</div>
<div style="font-family:var(--mono);font-size:14px;margin-top:4px;color:${status === 'ok' ? 'var(--ok)' : status === 'fail' ? 'var(--bad)' : 'var(--ink-3)'};">
${status === 'ok' ? '✓ matches' : status === 'fail' ? '✗ drift' : status === 'pending' ? '… running' : '— idle'}
</div>
<div style="font-size:11.5px;color:var(--ink-3);margin-top:2px;">${match ? 'byte-equivalent' : 'not yet verified'}</div>
</div>
</div>
` : ''}
<div class="card">
<div class="card-h">
<span class="ttl">Expected (Proof::EXPECTED_WITNESS_HEX)</span>
<span class="badge">SHA-256</span>
</div>
<div class="witness-box" id="expected-witness">${expectedWitness.value || '(loading…)'}</div>
</div>
<div class="card">
<div class="card-h">
<span class="ttl">Actual (last verify)</span>
<span class="badge">SHA-256</span>
</div>
<div class="witness-box" id="actual-witness">${witnessHex.value || '(not verified yet)'}</div>
<button class="verify-btn ${cls}" id="verify-btn" @click=${this.verify}>${label}</button>
</div>
${this.expanded ? html`
<div class="card">
<div class="card-h">
<span class="ttl">What this verifies</span>
<span class="badge">ADR-089 §5</span>
</div>
<div style="font-size: 12.5px; color: var(--ink-2); line-height: 1.6;">
<p style="margin: 0 0 10px;">Pressing <b>Verify</b> runs the canonical reference pipeline
(<code>Proof::generate</code>) end-to-end inside this browser's WASM Worker:
scene → Biot-Savart synthesis → material attenuation → NV ensemble → ADC + lock-in →
concatenated <code>MagFrame</code> bytes → SHA-256.</p>
<p style="margin: 0 0 10px;">If the resulting hash matches the constant pinned at build time
(<code>cc8de9b01b0ff5bd…</code>), every constant — γ_e, D_GS, μ₀, T₂*, contrast, the PRNG
stream, the frame layout, the pipeline ordering — is byte-identical to the published
reference. If it doesn't match, <i>something</i> drifted; the dashboard names which.</p>
<p style="margin: 0;">This is the same regression test that runs in
<code>cargo test -p nvsim</code> — running in your browser, against your own WASM build.</p>
</div>
</div>
` : ''}
`;
}
override render() {
return html`
<div class="tabs" role="tablist">
<button class="tab ${this.tab === 'signal' ? 'active' : ''}" data-pane="signal"
role="tab" aria-selected=${this.tab === 'signal'}
@click=${() => this.tab = 'signal'}>Signal</button>
<button class="tab ${this.tab === 'frame' ? 'active' : ''}" data-pane="frame"
role="tab" aria-selected=${this.tab === 'frame'}
@click=${() => this.tab = 'frame'}>Frame</button>
<button class="tab ${this.tab === 'witness' ? 'active' : ''}" data-pane="witness"
role="tab" aria-selected=${this.tab === 'witness'}
@click=${() => this.tab = 'witness'}>Witness</button>
</div>
<div class="body" role="tabpanel">
${this.renderHeader()}
${this.tab === 'signal' ? this.renderSignalTab()
: this.tab === 'frame' ? this.renderFrameTab()
: this.renderWitnessTab()}
</div>
`;
}
}
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@@ -1,153 +0,0 @@
/* Modal dialog — opened via window.dispatchEvent('nv-modal', { title, body, buttons }). */
import { LitElement, html, css } from 'lit';
import { customElement, state } from 'lit/decorators.js';
interface ModalButton {
label: string;
variant?: 'ghost' | 'primary' | 'danger';
onClick?: () => void;
}
interface ModalReq {
title: string;
body: string;
buttons?: ModalButton[];
}
@customElement('nv-modal')
export class NvModal extends LitElement {
@state() private open = false;
@state() private mTitle = '';
@state() private mBody = '';
@state() private buttons: ModalButton[] = [];
static styles = css`
:host {
position: fixed; inset: 0;
background: rgba(0,0,0,0.55);
backdrop-filter: blur(4px);
z-index: 200;
display: grid; place-items: center;
opacity: 0; pointer-events: none;
transition: opacity 0.18s;
}
:host([open]) { opacity: 1; pointer-events: auto; }
.modal {
background: var(--bg-1);
border: 1px solid var(--line-2);
border-radius: var(--radius);
box-shadow: 0 30px 80px -20px rgba(0,0,0,0.7);
width: min(520px, 92vw);
max-height: 86vh;
display: flex; flex-direction: column;
transform: translateY(12px) scale(0.98);
transition: transform 0.22s cubic-bezier(0.2,0.7,0.3,1);
}
:host([open]) .modal { transform: translateY(0) scale(1); }
.h {
padding: 14px 16px;
border-bottom: 1px solid var(--line);
display: flex; align-items: center; justify-content: space-between;
}
.h .ttl { font-size: 14px; font-weight: 600; }
.body { padding: 16px; overflow-y: auto; font-size: 13px; color: var(--ink-2); line-height: 1.55; }
.f {
padding: 12px 16px;
border-top: 1px solid var(--line);
display: flex; gap: 8px; justify-content: flex-end;
}
button {
padding: 6px 12px;
border-radius: 8px;
font-size: 12.5px;
cursor: pointer;
font-family: inherit;
border: 1px solid var(--line);
background: var(--bg-2); color: var(--ink);
}
button.ghost { background: transparent; }
button.primary { background: var(--accent); border-color: var(--accent); color: #1a0f00; }
button.danger { background: var(--bad); border-color: var(--bad); color: #fff; }
.close {
width: 28px; height: 28px;
background: transparent; border: 1px solid var(--line);
border-radius: 6px;
color: var(--ink-2);
}
`;
override connectedCallback(): void {
super.connectedCallback();
window.addEventListener('nv-modal', this.onModal as EventListener);
window.addEventListener('keydown', this.onKey);
}
override disconnectedCallback(): void {
super.disconnectedCallback();
window.removeEventListener('nv-modal', this.onModal as EventListener);
window.removeEventListener('keydown', this.onKey);
}
private onModal = (e: Event): void => {
const r = (e as CustomEvent).detail as ModalReq;
this.mTitle = r.title; this.mBody = r.body;
this.buttons = r.buttons ?? [{ label: 'Close', variant: 'primary' }];
this.open = true; this.setAttribute('open', '');
// a11y: focus the first interactive element inside the modal so keyboard
// users land in the dialog rather than behind it. Light focus trap via
// the keydown handler below catches Tab cycling.
requestAnimationFrame(() => {
const root = this.shadowRoot;
if (!root) return;
const first = root.querySelector<HTMLElement>('input, select, textarea, button:not(.close)');
first?.focus();
});
};
override updated(): void {
if (!this.open) return;
const root = this.shadowRoot;
if (!root) return;
// Trap Tab inside the modal while open.
const trap = (e: KeyboardEvent): void => {
if (e.key !== 'Tab') return;
const focusables = Array.from(
root.querySelectorAll<HTMLElement>('input, select, textarea, button, [href]'),
).filter((el) => !el.hasAttribute('disabled'));
if (focusables.length === 0) return;
const first = focusables[0];
const last = focusables[focusables.length - 1];
const active = (root.activeElement as HTMLElement | null) ?? null;
if (e.shiftKey && active === first) { e.preventDefault(); last.focus(); }
else if (!e.shiftKey && active === last) { e.preventDefault(); first.focus(); }
};
root.removeEventListener('keydown', trap as EventListener);
root.addEventListener('keydown', trap as EventListener);
}
private onKey = (e: KeyboardEvent): void => {
if (e.key === 'Escape' && this.open) this.close();
};
private close(): void { this.open = false; this.removeAttribute('open'); }
private clickBtn(b: ModalButton): void { b.onClick?.(); this.close(); }
override render() {
return html`
<div class="modal" role="dialog" aria-modal="true">
<div class="h">
<div class="ttl">${this.mTitle}</div>
<button class="close" @click=${() => this.close()}>×</button>
</div>
<div class="body" .innerHTML=${this.mBody}></div>
<div class="f">
${this.buttons.map((b) => html`
<button class=${b.variant ?? ''} @click=${() => this.clickBtn(b)}>${b.label}</button>
`)}
</div>
</div>
`;
}
}
export function openModal(req: ModalReq): void {
window.dispatchEvent(new CustomEvent('nv-modal', { detail: req }));
}
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@@ -1,397 +0,0 @@
/* Welcome modal + step-by-step introduction tour.
*
* 10 steps walking the user through every panel of the dashboard with
* concrete CTAs ("Try it now") that fire real navigation against the
* live UI. First-run only by default; replayable via Settings → Help.
*/
import { LitElement, html, css } from 'lit';
import { customElement, state } from 'lit/decorators.js';
import { kvGet, kvSet } from '../store/persistence';
interface TourStep {
/** Optional icon shown at the top of the step. */
icon: string;
title: string;
/** Markdown-ish HTML body (rendered via .innerHTML). */
body: string;
/** Optional CTA: clicking runs the action then advances. */
cta?: { label: string; run?: () => void };
/** Optional "do this yourself" hint. */
hint?: string;
}
const STEPS: TourStep[] = [
{
icon: '👋',
title: 'Welcome to nvsim',
body: `<p style="font-size:14px; line-height:1.6;">
<b>nvsim</b> is an open-source, deterministic forward simulator for
<b>nitrogen-vacancy diamond magnetometry</b> — a real Rust crate compiled
to WebAssembly and running in your browser, right now.</p>
<p style="font-size:13px; color:var(--ink-2); line-height:1.55;">
This 60-second tour walks you through the four panels, the App Store,
the Ghost Murmur research view, and the determinism contract that
makes nvsim distinctive.</p>
<p style="font-size:11.5px; color:var(--ink-3); line-height:1.5; margin-top:14px;">
Press <kbd>Esc</kbd> any time to skip. You can replay this tour from
<b>Settings → Help</b>.</p>`,
cta: { label: 'Start the tour →' },
},
{
icon: '🌐',
title: 'The Scene canvas',
body: `<p>The middle panel shows your <b>magnetic scene</b> — a small simulated
environment with four sources and one NV-diamond sensor at the centre.</p>
<p>The four amber/cyan/magenta blobs are draggable: <b>rebar coil</b>
(steel χ=5000), <b>heart proxy</b> dipole, <b>60 Hz mains</b> current loop,
and a <b>steel door</b> (eddy current). Field lines connect each source
to the sensor and animate while the pipeline runs.</p>
<p style="font-size:12.5px; color:var(--ink-3);">
Top-left toolbar: zoom in/out, fit-to-view, layer toggles. Bottom-right:
sim controls (step / play / step / speed cycle). Drag positions persist
across reloads.</p>`,
hint: 'Try dragging the heart_proxy after the tour ends.',
},
{
icon: '▶',
title: 'Run the pipeline',
body: `<p>Press <b>▶ Run</b> in the topbar (or hit <kbd>Space</kbd>) to start
the live frame stream. nvsim runs at ~1.8 kHz on x86_64 WASM —
well above the 1 kHz Cortex-A53 acceptance gate.</p>
<p>The FPS pill in the topbar updates with the throughput. The B-vector
trace and frame-stream sparkline in the right inspector update in real
time.</p>
<p style="font-size:12.5px; color:var(--ink-3);">
<kbd>Space</kbd> toggles run/pause from anywhere. Reset (<kbd>⌘R</kbd>)
rewinds <code>t</code> to 0 without changing the seed.</p>`,
},
{
icon: '🔍',
title: 'Inspector — three tabs, three depths',
body: `<p>The right rail shows the live inspector: <b>Signal</b> (B-vector
trace + frame-stream sparkline), <b>Frame</b> (decoded MagFrame fields +
raw 60-byte hex dump), <b>Witness</b> (SHA-256 determinism gate).</p>
<p>Click the <b>magnifier</b> icon in the left rail to expand the
inspector to the full main area, with bigger charts and an explainer
header. Click the <b>shield</b> icon to do the same focused on Witness.</p>
<p style="font-size:12.5px; color:var(--ink-3);">
Number keys <kbd>1</kbd> <kbd>2</kbd> <kbd>3</kbd> jump between the
three inspector tabs from anywhere.</p>`,
},
{
icon: '✓',
title: 'The witness — what makes nvsim distinctive',
body: `<p>nvsim's defining commitment: same <code>(scene, config, seed)</code> →
byte-identical SHA-256 across runs, machines, and transports.</p>
<p>Click the <b>Witness</b> tab and press <b>Verify witness</b>. The
dashboard re-derives the hash for the canonical reference scene
(<code>seed=42, N=256</code>) and asserts it matches the constant
pinned at compile time
(<code style="font-size:10.5px;">cc8de9b01b0ff5bd…</code>).</p>
<p>A green check means every constant — γ_e, D_GS, μ₀, T₂*, contrast,
the PRNG stream, the frame layout — is byte-identical to the published
reference. A red ✗ means something drifted; the dashboard names which.</p>`,
},
{
icon: '🎚',
title: 'Tunables — change the simulation live',
body: `<p>The left sidebar's <b>Tunables</b> panel has four sliders:</p>
<ul style="margin:0 0 12px; padding-left:18px; font-size:13px; color:var(--ink-2); line-height:1.6;">
<li><b>Sample rate</b> (1100 kHz) — digitiser frame rate</li>
<li><b>Lock-in f_mod</b> (0.15 kHz) — microwave modulation freq</li>
<li><b>Integration t</b> (0.110 ms) — per-sample integration time</li>
<li><b>Shot noise</b> (on/off) — toggle quantum noise</li>
</ul>
<p>Edits debounce 300 ms then rebuild the WASM pipeline without restarting
the frame stream. Watch the noise floor and B-vector spread change
in the Signal trace.</p>`,
},
{
icon: '👻',
title: 'Ghost Murmur — research view',
body: `<p>Click the ghost icon in the left rail. This view audits the
publicly-reported <b>April 2026 CIA Ghost Murmur</b> NV-diamond
heartbeat-detection program against the open physics literature.</p>
<p>Includes a <b>"Try it yourself"</b> sandbox: place a cardiac dipole at
any distance from the sensor, hit Run, and see what the real nvsim
pipeline recovers. Per-tier detectability bars compare the predicted
signal vs each transport's noise floor (NV-ensemble lab, COTS DNV-B1,
SQUID, 60 GHz mmWave, WiFi CSI).</p>
<p style="font-size:12.5px; color:var(--ink-3);">
Spoiler: at 1 km the cardiac MCG is ~10⁻¹² of its 10 cm value.
Press claims of 40-mile detection sit far below any published instrument's
floor.</p>`,
},
{
icon: '🛍',
title: 'App Store — 65 edge apps',
body: `<p>Click the grid icon. The <b>App Store</b> catalogues every
hot-loadable WASM edge module RuView ships, organised by category:
medical, security, smart-building, retail, industrial, signal,
learning, autonomy, exotic.</p>
<p>Each card carries id / category / status / event IDs / compute budget /
ADR back-reference. The toggle marks an app active in this session;
the WS transport (when configured) pushes the activation set to a
connected ESP32 mesh.</p>
<p style="font-size:12.5px; color:var(--ink-3);">
Try searching for "ghost", "heart", or "occupancy" to fuzzy-filter
the catalogue.</p>`,
},
{
icon: '⌨',
title: 'Console + REPL',
body: `<p>The bottom panel is a structured event log with five filter tabs
(<b>all / info / warn / err / dbg</b>) plus a REPL prompt.</p>
<p>REPL commands include
<code>help</code>, <code>scene.list</code>, <code>sensor.config</code>,
<code>run</code>, <code>pause</code>, <code>seed [hex]</code>,
<code>proof.verify</code>, <code>proof.export</code>,
<code>theme [light|dark]</code>, <code>status</code>, <code>clear</code>.</p>
<p style="font-size:12.5px; color:var(--ink-3);">
Press <kbd>/</kbd> to focus the REPL from anywhere. Arrow ↑/↓ recall
history (persisted across reloads). <kbd>⌘K</kbd> opens the command
palette with every action discoverable.</p>`,
},
{
icon: '🚀',
title: 'You are ready',
body: `<p style="font-size:14px;">That's the whole tour. A few last pointers:</p>
<ul style="margin:0 0 14px; padding-left:18px; font-size:13px; color:var(--ink-2); line-height:1.7;">
<li>Press <kbd>?</kbd> any time to open the help center
(Quickstart / Glossary / FAQ / Shortcuts / About).</li>
<li>Press <kbd>⌘K</kbd> for the command palette.</li>
<li>Press <kbd>\`</kbd> to toggle the debug HUD.</li>
<li>Settings (<kbd>⌘,</kbd>) lets you switch theme, density, motion,
transport, and replay this tour.</li>
</ul>
<p style="font-size:12.5px; color:var(--ink-3); line-height:1.55;">
Source: <code>github.com/ruvnet/RuView</code> · Apache-2.0 OR MIT ·
ADRs 089/090/091/092/093.</p>`,
cta: { label: 'Get started →' },
},
];
@customElement('nv-onboarding')
export class NvOnboarding extends LitElement {
@state() private open = false;
@state() private step = 0;
static styles = css`
:host {
position: fixed; inset: 0;
background: rgba(0, 0, 0, 0.55);
backdrop-filter: blur(4px);
z-index: 240;
display: grid; place-items: center;
opacity: 0; pointer-events: none;
transition: opacity 0.18s;
}
:host([open]) { opacity: 1; pointer-events: auto; }
.card {
background: var(--bg-1);
border: 1px solid var(--line-2);
border-radius: var(--radius);
box-shadow: 0 30px 80px -20px rgba(0,0,0,0.7);
width: min(640px, 94vw);
max-height: 86vh;
display: flex; flex-direction: column;
transform: translateY(12px) scale(0.98);
transition: transform 0.22s cubic-bezier(0.2,0.7,0.3,1);
overflow: hidden;
}
:host([open]) .card { transform: translateY(0) scale(1); }
.h {
padding: 22px 26px 12px;
display: flex; align-items: flex-start; gap: 14px;
}
.h .icon {
width: 44px; height: 44px;
border-radius: 12px;
background: linear-gradient(135deg, oklch(0.78 0.14 70) 0%, oklch(0.55 0.16 30) 100%);
display: grid; place-items: center;
font-size: 22px;
flex-shrink: 0;
box-shadow: 0 4px 12px -2px oklch(0.55 0.16 30 / 0.35);
}
.h .title-wrap { flex: 1; min-width: 0; }
.h h2 {
margin: 0;
font-size: 18px;
letter-spacing: -0.01em;
color: var(--ink);
}
.h .step-label {
font-family: var(--mono);
font-size: 10.5px;
color: var(--ink-3);
margin-top: 4px;
text-transform: uppercase;
letter-spacing: 0.06em;
}
.h .skip {
width: 28px; height: 28px;
background: transparent;
border: 1px solid var(--line);
border-radius: 6px;
color: var(--ink-2);
cursor: pointer;
flex-shrink: 0;
}
.h .skip:hover { color: var(--ink); border-color: var(--line-2); }
.body {
padding: 0 26px 16px;
font-size: 13px;
color: var(--ink-2);
line-height: 1.6;
overflow-y: auto;
flex: 1;
}
.body p { margin: 0 0 12px; }
.body p:last-child { margin-bottom: 0; }
.body code, .body kbd {
font-family: var(--mono);
font-size: 11.5px;
padding: 1px 5px;
background: var(--bg-3);
border: 1px solid var(--line);
border-radius: 4px;
}
.body code { color: var(--accent); }
.body kbd { color: var(--ink); }
.hint {
margin: 14px 0 0;
padding: 10px 12px;
background: oklch(0.78 0.12 195 / 0.06);
border: 1px solid oklch(0.78 0.12 195 / 0.25);
border-radius: 8px;
font-size: 12px;
color: var(--accent-2);
display: flex; gap: 8px; align-items: flex-start;
}
.hint::before {
content: '💡';
flex-shrink: 0;
}
.footer {
display: flex; align-items: center; gap: 14px;
padding: 14px 22px;
border-top: 1px solid var(--line);
background: var(--bg-1);
}
.progress { flex: 1; }
.dots { display: flex; gap: 5px; margin-bottom: 4px; }
.dot {
width: 6px; height: 6px; border-radius: 50%;
background: var(--bg-3);
border: 1px solid var(--line-2);
transition: background 0.15s, border-color 0.15s, transform 0.15s;
}
.dot.active {
background: var(--accent);
border-color: var(--accent);
transform: scale(1.2);
}
.dot.done {
background: var(--accent-4);
border-color: var(--accent-4);
}
.progress-label {
font-family: var(--mono);
font-size: 10px;
color: var(--ink-3);
}
button.primary, button.ghost {
padding: 9px 16px;
border-radius: 8px;
font-size: 13px;
font-weight: 500;
cursor: pointer;
font-family: inherit;
border: 1px solid var(--line);
background: var(--bg-2);
color: var(--ink);
}
button.ghost:hover { border-color: var(--line-2); }
button.primary {
background: var(--accent);
border-color: var(--accent);
color: #1a0f00;
}
button.primary:hover { filter: brightness(1.08); }
`;
override async connectedCallback(): Promise<void> {
super.connectedCallback();
window.addEventListener('nv-show-tour', this.show as EventListener);
const seen = await kvGet<boolean>('onboarding-seen');
if (!seen) {
this.open = true;
this.setAttribute('open', '');
}
}
override disconnectedCallback(): void {
super.disconnectedCallback();
window.removeEventListener('nv-show-tour', this.show as EventListener);
}
private show = (): void => {
this.step = 0;
this.open = true;
this.setAttribute('open', '');
};
private async dismiss(): Promise<void> {
this.open = false;
this.removeAttribute('open');
await kvSet('onboarding-seen', true);
}
private next(): void {
const s = STEPS[this.step];
s.cta?.run?.();
if (this.step < STEPS.length - 1) this.step++;
else void this.dismiss();
}
private prev(): void {
if (this.step > 0) this.step--;
}
override render() {
const s = STEPS[this.step];
const isLast = this.step === STEPS.length - 1;
return html`
<div class="card" role="dialog" aria-modal="true" aria-label="Welcome tour">
<div class="h">
<div class="icon" aria-hidden="true">${s.icon}</div>
<div class="title-wrap">
<h2>${s.title}</h2>
<div class="step-label">Step ${this.step + 1} of ${STEPS.length}</div>
</div>
<button class="skip" @click=${() => this.dismiss()} aria-label="Skip tour" title="Skip tour">×</button>
</div>
<div class="body">
<div .innerHTML=${s.body}></div>
${s.hint ? html`<div class="hint">${s.hint}</div>` : ''}
</div>
<div class="footer">
<div class="progress">
<div class="dots">
${STEPS.map((_, i) => html`
<div class="dot ${i === this.step ? 'active' : i < this.step ? 'done' : ''}"></div>
`)}
</div>
<div class="progress-label">${this.step + 1} / ${STEPS.length}</div>
</div>
${this.step > 0
? html`<button class="ghost" @click=${() => this.prev()}>← Back</button>`
: html`<button class="ghost" @click=${() => this.dismiss()}>Skip</button>`}
<button class="primary" @click=${() => this.next()}>
${s.cta?.label ?? (isLast ? 'Done' : 'Next →')}
</button>
</div>
</div>
`;
}
}
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/* Command palette ⌘K. */
import { LitElement, html, css } from 'lit';
import { customElement, state, query } from 'lit/decorators.js';
import { toast } from './nv-toast';
import { openModal } from './nv-modal';
import {
getClient, theme, expectedWitness, witnessHex, witnessVerified, pushLog, running,
} from '../store/appStore';
interface Cmd { ico: string; label: string; kbd?: string; run: () => void; }
@customElement('nv-palette')
export class NvPalette extends LitElement {
@state() private open = false;
@state() private filter = '';
@state() private idx = 0;
@query('#palette-input') private inputEl!: HTMLInputElement;
static styles = css`
:host {
position: fixed; inset: 0; z-index: 220;
background: rgba(0,0,0,0.5);
opacity: 0; pointer-events: none;
transition: opacity 0.15s;
display: flex; justify-content: center; padding-top: 12vh;
backdrop-filter: blur(4px);
}
:host([open]) { opacity: 1; pointer-events: auto; }
.palette {
width: min(560px, 92vw);
background: var(--bg-1);
border: 1px solid var(--line-2);
border-radius: var(--radius);
box-shadow: 0 30px 80px -20px rgba(0,0,0,0.7);
overflow: hidden;
display: flex; flex-direction: column;
max-height: 60vh;
}
.input {
padding: 14px 16px;
border-bottom: 1px solid var(--line);
}
input {
width: 100%;
background: transparent; border: none; outline: none;
color: var(--ink); font-size: 14px;
font-family: inherit;
}
.list { flex: 1; overflow-y: auto; padding: 4px; }
.item {
display: flex; align-items: center; gap: 10px;
padding: 8px 12px;
border-radius: 6px;
cursor: pointer;
font-size: 12.5px;
}
.item.active { background: var(--bg-3); }
.item .ico { width: 20px; text-align: center; color: var(--accent); }
.item .lbl { flex: 1; }
.item .kbd {
font-family: var(--mono); font-size: 10.5px;
color: var(--ink-3);
padding: 1px 5px; background: var(--bg-3); border-radius: 4px;
}
`;
private cmds: Cmd[] = [
{ ico: '▶', label: 'Run pipeline', kbd: 'Space', run: async () => { await getClient()?.run(); running.value = true; toast('Pipeline running', '▶'); } },
{ ico: '❚', label: 'Pause pipeline', run: async () => { await getClient()?.pause(); running.value = false; toast('Paused', '❚❚'); } },
{ ico: '+', label: 'New scene…', kbd: '⌘N', run: () => openModal({
title: 'New scene',
body: `<p>Build a fresh magnetic scene. The dashboard generates the JSON
and pushes it to the running pipeline (or you can copy the JSON
for offline use).</p>
<label>Name</label>
<input type="text" id="ns-name" value="custom-scene-${Date.now().toString(36)}" />
<label>Heart-proxy dipole moment (A·m²)</label>
<input type="text" id="ns-moment" value="1.0e-6" />
<label>Distance heart → sensor (m)</label>
<input type="text" id="ns-distance" value="0.5" />
<label>Add ferrous distractor at +x = 1 m?</label>
<select id="ns-ferrous">
<option value="0">No</option>
<option value="1" selected>Yes (steel coil, χ=5000)</option>
</select>
<label>Add 60 Hz mains-current loop?</label>
<select id="ns-mains">
<option value="0">No</option>
<option value="1" selected>Yes (2 A loop, 5 cm radius, +y = 1 m)</option>
</select>`,
buttons: [
{ label: 'Cancel', variant: 'ghost' },
{ label: 'Create', variant: 'primary', onClick: async () => {
const root = document.querySelector('nv-app')?.shadowRoot?.querySelector('nv-modal')?.shadowRoot;
if (!root) return;
const name = (root.querySelector<HTMLInputElement>('#ns-name')?.value ?? 'custom').trim();
const m = parseFloat(root.querySelector<HTMLInputElement>('#ns-moment')?.value ?? '1e-6');
const d = parseFloat(root.querySelector<HTMLInputElement>('#ns-distance')?.value ?? '0.5');
const ferr = root.querySelector<HTMLSelectElement>('#ns-ferrous')?.value === '1';
const mains = root.querySelector<HTMLSelectElement>('#ns-mains')?.value === '1';
const scene = {
dipoles: [{ position: [0, 0, d] as [number, number, number], moment: [0, 0, m] as [number, number, number] }],
loops: mains ? [{
centre: [0, 1, 0] as [number, number, number],
normal: [0, 1, 0] as [number, number, number],
radius: 0.05, current: 2.0, n_segments: 64,
}] : [],
ferrous: ferr ? [{ position: [1, 0, 0] as [number, number, number], volume: 1e-4, susceptibility: 5000 }] : [],
eddy: [],
sensors: [[0, 0, 0] as [number, number, number]],
ambient_field: [1e-6, 0, 0] as [number, number, number],
};
await getClient()?.loadScene(scene);
pushLog('ok', `scene <span class="s">${name}</span> loaded · 1 dipole · ${mains ? '1 loop · ' : ''}${ferr ? '1 ferrous · ' : ''}1 sensor`);
toast(`Scene "${name}" loaded`, '+');
} },
],
}) },
{ ico: '📦', label: 'Export proof bundle…', kbd: '⌘E', run: async () => {
const c = getClient(); if (!c) return;
pushLog('dbg', 'building proof bundle…');
try {
const blob = await c.exportProofBundle();
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
a.href = url;
a.download = `nvsim-proof-${Date.now()}.json`;
a.click();
URL.revokeObjectURL(url);
pushLog('ok', `proof bundle exported · ${blob.size} bytes`);
toast(`Proof bundle saved (${blob.size} B)`, '📦');
} catch (e) { pushLog('err', `export failed: ${(e as Error).message}`); }
} },
{ ico: '⟳', label: 'Reset pipeline', kbd: '⌘R', run: () => openModal({
title: 'Reset pipeline?',
body: '<p>Clears the frame stream and rewinds <code>t</code> to 0.</p>',
buttons: [
{ label: 'Cancel', variant: 'ghost' },
{ label: 'Reset', variant: 'danger', onClick: async () => { await getClient()?.reset(); pushLog('warn', 'pipeline reset · t=0'); toast('Pipeline reset', '⟳'); } },
],
}) },
{ ico: '✓', label: 'Verify witness', run: async () => {
const c = getClient(); if (!c) return;
witnessVerified.value = 'pending';
const exp = expectedWitness.value;
const eb = new Uint8Array(32);
for (let i = 0; i < 32; i++) eb[i] = parseInt(exp.slice(i * 2, i * 2 + 2), 16);
const r = await c.verifyWitness(eb);
if (r.ok) { witnessVerified.value = 'ok'; witnessHex.value = exp; toast('Witness verified', '✓'); }
else { witnessVerified.value = 'fail'; toast('Witness mismatch!', '✗'); }
} },
{ ico: '☼', label: 'Toggle theme', kbd: '⌘/', run: () => { theme.value = theme.value === 'dark' ? 'light' : 'dark'; } },
{ ico: '⚙', label: 'Open settings', kbd: '⌘,', run: () => window.dispatchEvent(new CustomEvent('open-settings')) },
{ ico: '?', label: 'Keyboard shortcuts…', run: () => openModal({
title: 'Keyboard shortcuts',
body: `<div style="display:grid;grid-template-columns:auto 1fr;gap:6px 16px;font-size:13px;">
<div><code>⌘K / Ctrl K</code></div><div>Command palette</div>
<div><code>Space</code></div><div>Play / pause</div>
<div><code>⌘R</code></div><div>Reset</div>
<div><code>⌘,</code></div><div>Settings</div>
<div><code>⌘/</code></div><div>Toggle theme</div>
<div><code>\`</code></div><div>Debug HUD</div>
<div><code>1 · 2 · 3</code></div><div>Inspector tabs</div>
<div><code>Esc</code></div><div>Close modal/palette</div>
<div><code>/</code></div><div>Focus REPL</div>
</div>`,
buttons: [{ label: 'Close', variant: 'primary' }],
}) },
{ ico: 'i', label: 'About nvsim…', run: () => openModal({
title: 'About nvsim',
body: `<p><b>nvsim</b> is a deterministic, byte-reproducible forward simulator for nitrogen-vacancy diamond magnetometry.</p>
<p>This dashboard runs nvsim as WASM in a Web Worker. Same <code>(scene, config, seed)</code> → byte-identical SHA-256 witness across runs and machines.</p>
<p>License: MIT OR Apache-2.0 · See ADR-089, ADR-092.</p>`,
buttons: [{ label: 'Close', variant: 'primary' }],
}) },
];
override connectedCallback(): void {
super.connectedCallback();
window.addEventListener('keydown', this.onKey);
window.addEventListener('nv-palette', this.onOpen as EventListener);
}
override disconnectedCallback(): void {
super.disconnectedCallback();
window.removeEventListener('keydown', this.onKey);
window.removeEventListener('nv-palette', this.onOpen as EventListener);
}
private onKey = (e: KeyboardEvent): void => {
if ((e.metaKey || e.ctrlKey) && e.key.toLowerCase() === 'k') {
e.preventDefault();
this.openPal();
} else if (e.key === 'Escape' && this.open) {
this.closePal();
} else if (this.open) {
if (e.key === 'ArrowDown') { this.idx = Math.min(this.cmds.length - 1, this.idx + 1); e.preventDefault(); }
else if (e.key === 'ArrowUp') { this.idx = Math.max(0, this.idx - 1); e.preventDefault(); }
else if (e.key === 'Enter') { this.runIdx(); e.preventDefault(); }
}
};
private onOpen = (): void => this.openPal();
private openPal(): void {
this.open = true; this.setAttribute('open', '');
this.filter = ''; this.idx = 0;
setTimeout(() => this.inputEl?.focus(), 0);
}
private closePal(): void { this.open = false; this.removeAttribute('open'); }
private filtered(): Cmd[] {
if (!this.filter.trim()) return this.cmds;
const q = this.filter.toLowerCase();
return this.cmds.filter((c) => c.label.toLowerCase().includes(q));
}
private runIdx(): void {
const f = this.filtered();
const c = f[this.idx];
if (c) { c.run(); this.closePal(); }
}
override render() {
const items = this.filtered();
return html`
<div class="palette" data-id="palette">
<div class="input">
<input id="palette-input" type="text" placeholder="Type a command…"
.value=${this.filter}
@input=${(e: Event) => { this.filter = (e.target as HTMLInputElement).value; this.idx = 0; }} />
</div>
<div class="list">
${items.map((c, i) => html`
<div class="item ${i === this.idx ? 'active' : ''}" @click=${() => { this.idx = i; this.runIdx(); }}>
<span class="ico">${c.ico}</span>
<span class="lbl">${c.label}</span>
${c.kbd ? html`<span class="kbd">${c.kbd}</span>` : ''}
</div>
`)}
</div>
</div>
`;
}
}
-116
View File
@@ -1,116 +0,0 @@
/* Left rail navigation. Emits `navigate` events for view switching. */
import { LitElement, html, css } from 'lit';
import { customElement, property } from 'lit/decorators.js';
import type { View } from './nv-app';
@customElement('nv-rail')
export class NvRail extends LitElement {
@property() view: View = 'scene';
static styles = css`
:host {
display: flex;
flex-direction: column;
align-items: center;
padding: 10px 0;
gap: 4px;
background: var(--bg-1);
border-right: 1px solid var(--line);
}
.logo {
width: 36px; height: 36px;
border-radius: 10px;
background: linear-gradient(135deg, oklch(0.78 0.14 70) 0%, oklch(0.55 0.16 30) 100%);
display: grid; place-items: center;
color: #1a0f00;
font-weight: 700;
font-family: var(--mono);
font-size: 11px;
margin-bottom: 14px;
box-shadow: 0 4px 12px -2px oklch(0.55 0.16 30 / 0.35);
}
.btn {
width: 36px; height: 36px;
border-radius: 8px;
background: transparent;
border: 1px solid transparent;
color: var(--ink-3);
display: grid; place-items: center;
transition: all 0.15s;
position: relative;
cursor: pointer;
}
.btn:hover { color: var(--ink); background: var(--bg-2); }
.btn.active {
color: var(--ink);
background: var(--bg-3);
border-color: var(--line-2);
}
.btn.active::before {
content: ''; position: absolute; left: -10px; top: 8px; bottom: 8px;
width: 2px; background: var(--accent); border-radius: 2px;
}
.btn.ghost.active::before { background: var(--accent-3); }
.spacer { flex: 1; }
svg { width: 18px; height: 18px; fill: none; stroke: currentColor; stroke-width: 1.8; }
`;
private navigate(v: View): void {
this.dispatchEvent(new CustomEvent('navigate', { detail: v }));
}
override render() {
return html`
<div class="logo" aria-hidden="true">NV</div>
<nav role="navigation" aria-label="Primary"
style="display:flex; flex-direction:column; align-items:center; gap:4px; flex:1;">
<button class="btn ${this.view === 'home' ? 'active' : ''}"
data-id="home-btn" title="Home" aria-label="Home"
aria-current=${this.view === 'home' ? 'page' : 'false'}
@click=${() => this.navigate('home')}>
<svg viewBox="0 0 24 24" aria-hidden="true"><path d="M3 12L12 4l9 8M5 10v10h14V10"/></svg>
</button>
<button class="btn ${this.view === 'scene' ? 'active' : ''}"
data-id="scene-btn" title="Scene" aria-label="Scene"
aria-current=${this.view === 'scene' ? 'page' : 'false'}
@click=${() => this.navigate('scene')}>
<svg viewBox="0 0 24 24" aria-hidden="true"><path d="M12 2L3 7l9 5 9-5-9-5zm0 13l-9-5v6l9 5 9-5v-6l-9 5z"/></svg>
</button>
<button class="btn ${this.view === 'apps' ? 'active' : ''}"
data-id="apps-btn" title="App Store" aria-label="App Store"
aria-current=${this.view === 'apps' ? 'page' : 'false'}
@click=${() => this.navigate('apps')}>
<svg viewBox="0 0 24 24" aria-hidden="true"><rect x="3" y="3" width="7" height="7" rx="1"/><rect x="14" y="3" width="7" height="7" rx="1"/><rect x="3" y="14" width="7" height="7" rx="1"/><rect x="14" y="14" width="7" height="7" rx="1"/></svg>
</button>
<button class="btn ${this.view === 'inspector' ? 'active' : ''}"
data-id="inspector-btn" title="Inspector" aria-label="Inspector"
aria-current=${this.view === 'inspector' ? 'page' : 'false'}
@click=${() => this.navigate('inspector')}>
<svg viewBox="0 0 24 24" aria-hidden="true"><circle cx="11" cy="11" r="7"/><line x1="21" y1="21" x2="16.6" y2="16.6"/></svg>
</button>
<button class="btn ${this.view === 'witness' ? 'active' : ''}"
data-id="witness-btn" title="Witness" aria-label="Witness"
aria-current=${this.view === 'witness' ? 'page' : 'false'}
@click=${() => this.navigate('witness')}>
<svg viewBox="0 0 24 24" aria-hidden="true"><path d="M9 12l2 2 4-4M21 12c0 4.97-4.03 9-9 9s-9-4.03-9-9 4.03-9 9-9 9 4.03 9 9z"/></svg>
</button>
<button class="btn ghost ${this.view === 'ghost-murmur' ? 'active' : ''}"
data-id="ghost-murmur-btn" title="Ghost Murmur — research spec"
aria-label="Ghost Murmur research"
aria-current=${this.view === 'ghost-murmur' ? 'page' : 'false'}
@click=${() => this.navigate('ghost-murmur')}>
<svg viewBox="0 0 24 24" aria-hidden="true">
<path d="M9 2C5.7 2 3 4.7 3 8v12l3-2 3 2 3-2 3 2 3-2 3 2V8c0-3.3-2.7-6-6-6H9z"/>
<circle cx="9" cy="10" r="1.2" fill="currentColor"/>
<circle cx="15" cy="10" r="1.2" fill="currentColor"/>
</svg>
</button>
</nav>
<div class="spacer"></div>
<button class="btn" data-id="settings-btn" title="Settings" aria-label="Settings"
@click=${() => this.dispatchEvent(new CustomEvent('open-settings', { bubbles: true, composed: true }))}>
<svg viewBox="0 0 24 24" aria-hidden="true"><circle cx="12" cy="12" r="3"/><path d="M19.4 15a1.65 1.65 0 00.33 1.82l.06.06a2 2 0 010 2.83 2 2 0 01-2.83 0l-.06-.06A1.65 1.65 0 0015 19.4a1.65 1.65 0 00-1 1.51V21a2 2 0 01-4 0v-.09A1.65 1.65 0 009 19.4a1.65 1.65 0 00-1.82.33l-.06.06a2 2 0 01-2.83 0 2 2 0 010-2.83l.06-.06A1.65 1.65 0 004.6 15a1.65 1.65 0 00-1.51-1H3a2 2 0 010-4h.09A1.65 1.65 0 004.6 9a1.65 1.65 0 00-.33-1.82l-.06-.06a2 2 0 010-2.83 2 2 0 012.83 0l.06.06A1.65 1.65 0 009 4.6a1.65 1.65 0 001-1.51V3a2 2 0 014 0v.09A1.65 1.65 0 0015 4.6a1.65 1.65 0 001.82-.33l.06.06a2 2 0 012.83 0 2 2 0 010 2.83l-.06.06A1.65 1.65 0 0019.4 9a1.65 1.65 0 001.51 1H21a2 2 0 010 4h-.09a1.65 1.65 0 00-1.51 1z"/></svg>
</button>
`;
}
}
-374
View File
@@ -1,374 +0,0 @@
/* Scene canvas — SVG with draggable sources, NV crystal sensor, field lines, mini ODMR. */
import { LitElement, html, css, svg } from 'lit';
import { customElement, state } from 'lit/decorators.js';
import { effect } from '@preact/signals-core';
import { lastB, bMag, fps, snr, motionReduced, running, getClient, speed, pushLog, lastFrame, scenePositions } from '../store/appStore';
interface SceneItem { id: string; x: number; y: number; color: string; name: string; }
@customElement('nv-scene')
export class NvScene extends LitElement {
@state() private zoom = 1.0;
@state() private layerVisible = { source: true, field: true, label: true };
@state() private items: SceneItem[] = [
{ id: 'rebar', x: 740, y: 240, color: 'oklch(0.72 0.18 330)', name: 'rebar.steel' },
{ id: 'heart', x: 220, y: 180, color: 'oklch(0.78 0.14 195)', name: 'heart_proxy' },
{ id: 'mains', x: 180, y: 380, color: 'oklch(0.72 0.18 330)', name: 'mains_60Hz' },
{ id: 'door', x: 800, y: 470, color: 'oklch(0.78 0.14 145)', name: 'door.steel' },
];
@state() private dragging: string | null = null;
@state() private selected: string | null = null;
private dragOffset = { dx: 0, dy: 0 };
static styles = css`
:host {
display: block; height: 100%; width: 100%;
background: radial-gradient(ellipse at 50% 30%, var(--bg-2) 0%, var(--bg-0) 70%);
position: relative; overflow: hidden;
border-bottom: 1px solid var(--line);
}
.grid {
position: absolute; inset: 0;
background-image:
linear-gradient(var(--grid) 1px, transparent 1px),
linear-gradient(90deg, var(--grid) 1px, transparent 1px);
background-size: 32px 32px;
pointer-events: none;
mask-image: radial-gradient(ellipse at center, black 40%, transparent 100%);
}
svg { position: absolute; inset: 0; width: 100%; height: 100%; }
.stat-card {
background: rgba(13,17,23,0.7);
backdrop-filter: blur(8px);
border: 1px solid var(--line);
border-radius: var(--radius-sm);
padding: 8px 12px;
font-size: 11px;
min-width: 96px;
}
[data-theme="light"] .stat-card { background: rgba(255,255,255,0.85); }
.stat-card .lbl {
color: var(--ink-3);
text-transform: uppercase; font-weight: 600; letter-spacing: 0.06em; font-size: 9.5px;
}
.stat-card .val { font-family: var(--mono); font-size: 16px; font-weight: 600; margin-top: 2px; }
.stat-card .val.amber { color: var(--accent); }
.stat-card .val.cyan { color: var(--accent-2); }
.stat-card .val.mint { color: var(--accent-4); }
.scene-readout {
position: absolute; top: 14px; right: 14px;
display: flex; gap: 8px; z-index: 5;
}
.draggable { cursor: grab; transition: filter 0.15s; }
.draggable:hover { filter: brightness(1.15) drop-shadow(0 0 6px currentColor); }
.draggable.dragging { cursor: grabbing; filter: brightness(1.25) drop-shadow(0 0 10px currentColor); }
.field-line { stroke-dasharray: 4 6; }
@keyframes dash { to { stroke-dashoffset: -200; } }
.field-line.anim { animation: dash 4s linear infinite; }
@keyframes spin {
0% { transform: rotateY(0) rotateX(8deg); }
100% { transform: rotateY(360deg) rotateX(8deg); }
}
.crystal { transform-origin: center; transform-box: fill-box; }
.crystal.anim { animation: spin 12s linear infinite; }
.label {
font-family: var(--mono); font-size: 11px; fill: var(--ink-2);
pointer-events: none;
}
.scene-toolbar {
position: absolute; top: 14px; left: 14px;
display: flex; gap: 6px; z-index: 5;
background: rgba(13,17,23,0.85);
backdrop-filter: blur(8px);
border: 1px solid var(--line);
border-radius: 8px;
padding: 4px;
}
[data-theme="light"] .scene-toolbar { background: rgba(255,255,255,0.85); }
.scene-toolbar button {
width: 28px; height: 28px;
background: transparent;
border: 1px solid transparent;
border-radius: 6px;
color: var(--ink-2);
cursor: pointer;
display: grid; place-items: center;
font-size: 13px;
}
.scene-toolbar button:hover { color: var(--ink); background: var(--bg-2); }
.scene-toolbar button.on { background: var(--bg-3); color: var(--accent); border-color: var(--line-2); }
.sim-controls {
position: absolute; bottom: 14px; right: 14px;
display: flex; gap: 6px; align-items: center;
background: rgba(13,17,23,0.85);
backdrop-filter: blur(12px);
border: 1px solid var(--line-2);
border-radius: 999px;
padding: 6px 10px;
z-index: 5;
}
[data-theme="light"] .sim-controls { background: rgba(255,255,255,0.92); }
.sim-controls .play {
width: 32px; height: 32px;
background: var(--accent);
border: none;
border-radius: 50%;
color: #1a0f00;
cursor: pointer;
display: grid; place-items: center;
font-size: 13px;
}
.sim-controls .play:hover { filter: brightness(1.08); }
.sim-controls .step {
width: 26px; height: 26px;
border-radius: 6px;
background: transparent;
color: var(--ink-2);
border: 1px solid var(--line);
cursor: pointer;
font-size: 11px;
}
.sim-controls .step:hover { color: var(--ink); border-color: var(--line-2); }
.sim-controls .speed {
font-family: var(--mono); font-size: 11px;
color: var(--ink-2);
padding: 0 6px;
min-width: 36px;
text-align: center;
cursor: pointer;
}
`;
override connectedCallback(): void {
super.connectedCallback();
// Restore drag positions if any are persisted.
if (scenePositions.value.length > 0) {
this.items = this.items.map((it) => {
const saved = scenePositions.value.find((p) => p.id === it.id);
return saved ? { ...it, x: saved.x, y: saved.y } : it;
});
}
effect(() => {
lastB.value; bMag.value; fps.value; snr.value; motionReduced.value;
running.value; speed.value; lastFrame.value;
this.requestUpdate();
});
// Compute SNR from the last frame: |B_pT| / max(σ_pT[k]) per ADR-093 P1.4.
effect(() => {
const f = lastFrame.value;
if (!f) return;
const bmag = Math.sqrt(f.bPt[0] ** 2 + f.bPt[1] ** 2 + f.bPt[2] ** 2);
const sigmaMax = Math.max(Math.abs(f.sigmaPt[0]), Math.abs(f.sigmaPt[1]), Math.abs(f.sigmaPt[2]), 0.001);
const snrVal = bmag / sigmaMax;
if (Number.isFinite(snrVal)) snr.value = snrVal;
});
window.addEventListener('pointermove', this.onPointerMove);
window.addEventListener('pointerup', this.onPointerUp);
window.addEventListener('keydown', this.onKey);
}
/** Tab cycles selection; arrow keys nudge by 8 px (32 px with Shift);
* Esc deselects. ADR-093 P2.6. */
private onKey = (e: KeyboardEvent): void => {
const target = e.target as HTMLElement | null;
if (target && (target.tagName === 'INPUT' || target.tagName === 'TEXTAREA')) return;
if (!this.selected) {
if (e.key === 'Tab' && document.activeElement === document.body) {
e.preventDefault();
this.selected = this.items[0]?.id ?? null;
}
return;
}
if (e.key === 'ArrowLeft' || e.key === 'ArrowRight' || e.key === 'ArrowUp' || e.key === 'ArrowDown') {
e.preventDefault();
const step = e.shiftKey ? 32 : 8;
const dx = e.key === 'ArrowLeft' ? -step : e.key === 'ArrowRight' ? step : 0;
const dy = e.key === 'ArrowUp' ? -step : e.key === 'ArrowDown' ? step : 0;
this.items = this.items.map((it) =>
it.id === this.selected
? { ...it, x: Math.max(20, Math.min(980, it.x + dx)), y: Math.max(20, Math.min(580, it.y + dy)) }
: it,
);
scenePositions.value = this.items.map(({ id, x, y }) => ({ id, x, y }));
} else if (e.key === 'Tab') {
e.preventDefault();
const idx = this.items.findIndex((it) => it.id === this.selected);
const next = (idx + (e.shiftKey ? -1 : 1) + this.items.length) % this.items.length;
this.selected = this.items[next].id;
} else if (e.key === 'Escape') {
this.selected = null;
}
};
private async toggleRun(): Promise<void> {
const c = getClient(); if (!c) return;
if (running.value) { await c.pause(); running.value = false; }
else { await c.run(); running.value = true; }
}
private async stepFwd(): Promise<void> {
const c = getClient(); if (!c) return;
await c.step('fwd', 10);
pushLog('dbg', 'sim step → +1 frame');
}
private async stepBack(): Promise<void> {
const c = getClient(); if (!c) return;
await c.step('back', 10);
pushLog('dbg', 'sim step ← -1 frame');
}
private cycleSpeed(): void {
const speeds = [0.25, 0.5, 1.0, 2.0, 4.0];
const idx = speeds.indexOf(speed.value);
speed.value = speeds[(idx + 1) % speeds.length];
}
private zoomIn(): void { this.zoom = Math.min(2.5, this.zoom * 1.2); }
private zoomOut(): void { this.zoom = Math.max(0.5, this.zoom / 1.2); }
private fitView(): void { this.zoom = 1.0; }
private toggleLayer(k: 'source' | 'field' | 'label'): void {
this.layerVisible = { ...this.layerVisible, [k]: !this.layerVisible[k] };
}
override disconnectedCallback(): void {
super.disconnectedCallback();
window.removeEventListener('pointermove', this.onPointerMove);
window.removeEventListener('pointerup', this.onPointerUp);
window.removeEventListener('keydown', this.onKey);
}
private onDown = (id: string, e: PointerEvent): void => {
e.preventDefault();
this.dragging = id;
this.selected = id;
const item = this.items.find((i) => i.id === id);
if (!item) return;
const svgEl = this.renderRoot.querySelector('svg') as SVGSVGElement | null;
if (!svgEl) return;
const pt = this.toSvg(e, svgEl);
this.dragOffset = { dx: pt.x - item.x, dy: pt.y - item.y };
};
private onPointerMove = (e: PointerEvent): void => {
if (!this.dragging) return;
const svgEl = this.renderRoot.querySelector('svg') as SVGSVGElement | null;
if (!svgEl) return;
const pt = this.toSvg(e, svgEl);
this.items = this.items.map((it) =>
it.id === this.dragging
? { ...it, x: pt.x - this.dragOffset.dx, y: pt.y - this.dragOffset.dy }
: it,
);
};
private onPointerUp = (): void => {
if (this.dragging) {
// Persist all positions on drop.
scenePositions.value = this.items.map(({ id, x, y }) => ({ id, x, y }));
}
this.dragging = null;
};
private toSvg(e: PointerEvent, svgEl: SVGSVGElement): { x: number; y: number } {
const r = svgEl.getBoundingClientRect();
const vbX = ((e.clientX - r.left) / r.width) * 1000;
const vbY = ((e.clientY - r.top) / r.height) * 600;
return { x: vbX, y: vbY };
}
override render() {
const b = lastB.value;
const bnT = [b[0] * 1e9, b[1] * 1e9, b[2] * 1e9];
const bMagNT = bMag.value * 1e9;
const animClass = motionReduced.value ? '' : 'anim';
const vbW = 1000 / this.zoom;
const vbH = 600 / this.zoom;
const vbX = (1000 - vbW) / 2;
const vbY = (600 - vbH) / 2;
return html`
<div class="grid"></div>
<svg viewBox="${vbX.toFixed(1)} ${vbY.toFixed(1)} ${vbW.toFixed(1)} ${vbH.toFixed(1)}"
preserveAspectRatio="xMidYMid meet" id="scene-svg">
<defs>
<radialGradient id="g-sensor" cx="50%" cy="50%" r="50%">
<stop offset="0" stop-color="oklch(0.78 0.14 70)" stop-opacity="0.4"/>
<stop offset="1" stop-color="oklch(0.78 0.14 70)" stop-opacity="0"/>
</radialGradient>
<filter id="glow"><feGaussianBlur stdDeviation="3" result="b"/><feMerge><feMergeNode in="b"/><feMergeNode in="SourceGraphic"/></feMerge></filter>
</defs>
<!-- Field lines from each source to sensor -->
${this.layerVisible.field ? this.items.map((it) => svg`
<line class="field-line ${animClass}" x1=${it.x} y1=${it.y}
x2="500" y2="320"
stroke=${it.color} stroke-width="1" stroke-opacity="0.5"/>
`) : ''}
<!-- Source primitives -->
${this.layerVisible.source ? this.items.map((it) => svg`
<g class=${`draggable ${this.dragging === it.id ? 'dragging' : ''} ${this.selected === it.id ? 'selected' : ''}`}
data-id=${it.id} data-source-id=${it.id}
transform=${`translate(${it.x.toFixed(0)},${it.y.toFixed(0)})`}
@pointerdown=${(e: PointerEvent) => this.onDown(it.id, e)}>
<ellipse cx="0" cy="0" rx="32" ry="22" fill=${it.color} fill-opacity="0.18"
stroke=${it.color} stroke-width="1.2"/>
<circle cx="0" cy="0" r="4" fill=${it.color}/>
${this.layerVisible.label ? svg`<text class="label" x="0" y="40" text-anchor="middle">${it.name}</text>` : ''}
</g>
`) : ''}
<!-- Sensor (NV diamond) at center -->
<g id="sensor-g" class="draggable" data-id="sensor" transform="translate(500, 320)">
<circle cx="0" cy="0" r="46" fill="url(#g-sensor)"/>
<g class=${`crystal ${animClass}`} stroke="oklch(0.78 0.14 70)" stroke-width="2"
fill="oklch(0.78 0.14 70 / 0.08)" filter="url(#glow)">
<polygon points="0,-22 19,-7 12,18 -12,18 -19,-7"/>
</g>
<circle cx="0" cy="0" r="3" fill="var(--accent)"/>
<text class="label" x="0" y="56" text-anchor="middle">
sensor · 〈111〉 NV
</text>
<text class="label" x="0" y="72" text-anchor="middle">
B_in: <tspan fill="var(--accent)" id="b-in-svg">[${bnT[0].toFixed(2)}, ${bnT[1].toFixed(2)}, ${bnT[2].toFixed(2)}] nT</tspan>
</text>
</g>
</svg>
<div class="scene-toolbar" id="scene-toolbar">
<button id="zoom-in-btn" title="Zoom in" @click=${this.zoomIn}>+</button>
<button id="zoom-out-btn" title="Zoom out" @click=${this.zoomOut}></button>
<button id="fit-btn" title="Fit to view" @click=${this.fitView}>⊡</button>
<button id="layer-source-btn" class=${this.layerVisible.source ? 'on' : ''}
title="Sources" @click=${() => this.toggleLayer('source')}>●</button>
<button id="layer-field-btn" class=${this.layerVisible.field ? 'on' : ''}
title="Field lines" @click=${() => this.toggleLayer('field')}>≈</button>
<button id="layer-label-btn" class=${this.layerVisible.label ? 'on' : ''}
title="Labels" @click=${() => this.toggleLayer('label')}>T</button>
</div>
<div class="sim-controls" id="sim-controls">
<button class="step" id="step-back-btn" title="Step back" @click=${this.stepBack}>⏮</button>
<button class="play" id="play-btn" title="Play / pause" @click=${this.toggleRun}>
${running.value ? '❚❚' : '▶'}
</button>
<button class="step" id="step-fwd-btn" title="Step forward" @click=${this.stepFwd}>⏭</button>
<span class="speed" id="speed-val" title="Cycle speed" @click=${this.cycleSpeed}>${speed.value}×</span>
</div>
<div class="scene-readout">
<div class="stat-card">
<div class="lbl">|B|</div>
<div class="val amber" id="bmag-readout">${bMagNT.toFixed(3)} nT</div>
</div>
<div class="stat-card">
<div class="lbl">FPS</div>
<div class="val cyan" id="fps-readout">${fps.value > 0 ? Math.round(fps.value) : '—'}</div>
</div>
<div class="stat-card">
<div class="lbl">SNR</div>
<div class="val mint" id="snr-readout">${snr.value > 0 ? snr.value.toFixed(1) : '—'}</div>
</div>
</div>
`;
}
}
@@ -1,272 +0,0 @@
/* Settings drawer — theme / density / motion / auto-update. */
import { LitElement, html, css } from 'lit';
import { customElement, state } from 'lit/decorators.js';
import { effect } from '@preact/signals-core';
import { theme, density, motionReduced, autoUpdate, transport, wsUrl } from '../store/appStore';
@customElement('nv-settings-drawer')
export class NvSettingsDrawer extends LitElement {
@state() private open = false;
static styles = css`
/* The host covers the viewport without transforming itself. Only the
* inner .panel is transformed; otherwise the host's transform would
* create a containing block for the fixed-position scrim, clipping
* it to the panel's 420 px width and breaking outside-to-dismiss. */
:host {
position: fixed; inset: 0;
z-index: 51;
pointer-events: none;
opacity: 0;
transition: opacity 0.2s;
}
:host([open]) { pointer-events: auto; opacity: 1; }
.scrim {
position: absolute; inset: 0;
background: rgba(0, 0, 0, 0.5);
backdrop-filter: blur(2px);
}
.panel {
position: absolute;
top: 0; right: 0; bottom: 0;
width: 420px; max-width: 100vw;
background: var(--bg-1);
border-left: 1px solid var(--line);
transform: translateX(100%);
transition: transform 0.25s cubic-bezier(0.4, 0, 0.2, 1);
display: flex; flex-direction: column;
box-shadow: -20px 0 60px -20px rgba(0, 0, 0, 0.5);
}
:host([open]) .panel { transform: translateX(0); }
.h {
padding: 14px 16px;
border-bottom: 1px solid var(--line);
display: flex; align-items: center; justify-content: space-between;
}
.h .ttl { font-size: 14px; font-weight: 600; }
.body { flex: 1; overflow-y: auto; padding: 16px; }
.group { margin-bottom: 22px; }
.group h4 {
margin: 0 0 10px;
font-size: 11px; font-weight: 600;
text-transform: uppercase; letter-spacing: 0.08em;
color: var(--ink-3);
}
.row {
display: flex; justify-content: space-between; align-items: center;
padding: 10px 0;
border-bottom: 1px solid var(--line);
}
.row:last-child { border-bottom: 0; }
.row .lbl { font-size: 13px; }
.row .desc { font-size: 11.5px; color: var(--ink-3); margin-top: 2px; }
.row > div:first-child { flex: 1; padding-right: 12px; }
.seg {
display: inline-flex;
background: var(--bg-3);
border: 1px solid var(--line);
border-radius: var(--radius-sm);
padding: 2px;
}
.seg button {
padding: 4px 10px;
background: transparent; border: none;
border-radius: 6px;
font-size: 11.5px; color: var(--ink-3);
font-family: var(--mono);
cursor: pointer;
}
.seg button.on { background: var(--bg-1); color: var(--ink); }
.toggle {
position: relative;
width: 36px; height: 20px;
background: var(--bg-3);
border: 1px solid var(--line-2);
border-radius: 999px;
cursor: pointer;
flex-shrink: 0;
}
.toggle::after {
content: ''; position: absolute;
top: 2px; left: 2px;
width: 14px; height: 14px;
background: var(--ink-3);
border-radius: 50%;
transition: transform 0.15s, background 0.15s;
}
.toggle.on { background: var(--accent); border-color: var(--accent); }
.toggle.on::after { background: #1a0f00; transform: translateX(16px); }
.close {
width: 28px; height: 28px;
background: transparent; border: 1px solid var(--line);
border-radius: 6px;
color: var(--ink-2);
}
input[type="text"] {
background: var(--bg-3);
border: 1px solid var(--line);
border-radius: 6px;
padding: 6px 10px;
color: var(--ink); font-family: var(--mono); font-size: 12px;
outline: none;
}
`;
override connectedCallback(): void {
super.connectedCallback();
effect(() => { theme.value; density.value; motionReduced.value; autoUpdate.value; transport.value; wsUrl.value; this.requestUpdate(); });
window.addEventListener('open-settings', () => { this.open = true; this.setAttribute('open', ''); });
}
private close(): void { this.open = false; this.removeAttribute('open'); }
private async resetPrefs(): Promise<void> {
if (!confirm('Reset all preferences and IndexedDB state? Reloads the page.')) return;
try {
const dbs = await indexedDB.databases?.();
if (dbs) for (const d of dbs) if (d.name) indexedDB.deleteDatabase(d.name);
} catch { /* noop */ }
location.reload();
}
override render() {
return html`
<div class="scrim" @click=${() => this.close()}></div>
<div class="panel" role="dialog" aria-modal="true" aria-label="Settings">
<div class="h">
<div class="ttl">Settings</div>
<button class="close" @click=${() => this.close()}>×</button>
</div>
<div class="body">
<div class="group">
<h4>Appearance</h4>
<div class="row">
<div>
<div class="lbl">Theme</div>
<div class="desc">Dark is the default; light has higher contrast for daylight work.</div>
</div>
<div class="seg">
<button class=${theme.value === 'dark' ? 'on' : ''}
@click=${() => theme.value = 'dark'}>dark</button>
<button class=${theme.value === 'light' ? 'on' : ''}
@click=${() => theme.value = 'light'}>light</button>
</div>
</div>
<div class="row">
<div>
<div class="lbl">Density</div>
<div class="desc">Affects panel padding and font scale (15 / 14 / 13 px). Choose what your eyes prefer.</div>
</div>
<div class="seg">
<button class=${density.value === 'comfy' ? 'on' : ''}
@click=${() => density.value = 'comfy'}>comfy</button>
<button class=${density.value === 'default' ? 'on' : ''}
@click=${() => density.value = 'default'}>default</button>
<button class=${density.value === 'compact' ? 'on' : ''}
@click=${() => density.value = 'compact'}>compact</button>
</div>
</div>
<div class="row">
<div>
<div class="lbl">Reduce motion</div>
<div class="desc">Stops the rotating diamond, animated field lines, and chart easing. Auto-on if your system has the prefers-reduced-motion preference set.</div>
</div>
<span class="toggle ${motionReduced.value ? 'on' : ''}"
role="switch" aria-checked=${motionReduced.value}
@click=${() => motionReduced.value = !motionReduced.value}></span>
</div>
</div>
<div class="group">
<h4>Pipeline</h4>
<div class="row">
<div>
<div class="lbl">Auto-rerun on edit</div>
<div class="desc">When you change a Tunables slider or load a new scene, push the change to the worker without a manual restart.</div>
</div>
<span class="toggle ${autoUpdate.value ? 'on' : ''}"
role="switch" aria-checked=${autoUpdate.value}
@click=${() => autoUpdate.value = !autoUpdate.value}></span>
</div>
</div>
<div class="group">
<h4>Transport</h4>
<div class="row">
<div>
<div class="lbl">Mode</div>
<div class="desc">WASM runs nvsim in your browser (default, no server). WS connects to a host-supplied nvsim-server (REST + binary WebSocket); see ADR-092 §6.2.</div>
</div>
<div class="seg">
<button class=${transport.value === 'wasm' ? 'on' : ''}
@click=${() => transport.value = 'wasm'}>WASM</button>
<button class=${transport.value === 'ws' ? 'on' : ''}
@click=${() => transport.value = 'ws'}>WS</button>
</div>
</div>
${transport.value === 'ws' ? html`
<div class="row">
<div>
<div class="lbl">WS URL</div>
<div class="desc">Where your nvsim-server is listening. The server defaults to 127.0.0.1:7878.</div>
</div>
<input type="text" placeholder="ws://localhost:7878" .value=${wsUrl.value}
@input=${(e: Event) => wsUrl.value = (e.target as HTMLInputElement).value} />
</div>` : ''}
</div>
<div class="group">
<h4>Help</h4>
<div class="row">
<div>
<div class="lbl">Open help center</div>
<div class="desc">Quickstart, glossary, FAQ, and shortcuts. Press <kbd style="font-family:var(--mono);font-size:10.5px;padding:1px 4px;background:var(--bg-3);border:1px solid var(--line);border-radius:3px;">?</kbd> any time.</div>
</div>
<button class="seg"
@click=${() => { this.close(); window.dispatchEvent(new CustomEvent('nv-show-help')); }}
style="padding:6px 12px;cursor:pointer;background:var(--bg-3);border:1px solid var(--line);border-radius:6px;color:var(--ink);">
Open
</button>
</div>
<div class="row">
<div>
<div class="lbl">Replay welcome tour</div>
<div class="desc">Re-show the 6-step first-run walkthrough.</div>
</div>
<button class="seg"
@click=${() => { this.close(); window.dispatchEvent(new CustomEvent('nv-show-tour')); }}
style="padding:6px 12px;cursor:pointer;background:var(--bg-3);border:1px solid var(--line);border-radius:6px;color:var(--ink);">
Replay
</button>
</div>
<div class="row">
<div>
<div class="lbl">Reset all preferences</div>
<div class="desc">Wipe theme, density, motion, scene drag positions, REPL history, and the onboarding-seen flag.</div>
</div>
<button class="seg"
@click=${() => this.resetPrefs()}
style="padding:6px 12px;cursor:pointer;background:var(--bg-3);border:1px solid oklch(0.65 0.22 25 / 0.4);border-radius:6px;color:var(--bad);">
Reset
</button>
</div>
</div>
<div class="group">
<h4>About</h4>
<div class="row" style="border-bottom:0;">
<div>
<div class="lbl">nvsim · v0.3.0</div>
<div class="desc">Open-source NV-diamond simulator. Apache-2.0 OR MIT.<br>
<a style="color:var(--accent-2); text-decoration:underline dotted; cursor:pointer;"
@click=${() => { this.close(); window.dispatchEvent(new CustomEvent('nv-show-help', { detail: { section: 'about' } })); }}>
More info →
</a></div>
</div>
</div>
</div>
</div>
</div>
`;
}
}
-222
View File
@@ -1,222 +0,0 @@
/* Sidebar — Scene panel, NV sensor panel, Tunables, Pipeline diagram. */
import { LitElement, html, css } from 'lit';
import { customElement } from 'lit/decorators.js';
import { effect } from '@preact/signals-core';
import { fs, fmod, dtMs, noiseEnabled, running, getClient, pushLog } from '../store/appStore';
let configPushTimer: number | null = null;
function pushConfigDebounced(): void {
if (configPushTimer !== null) window.clearTimeout(configPushTimer);
configPushTimer = window.setTimeout(async () => {
const c = getClient();
if (!c) return;
try {
await c.setConfig({
digitiser: { f_s_hz: fs.value, f_mod_hz: fmod.value },
sensor: {
gamma_fwhm_hz: 1.0e6,
t1_s: 5.0e-3,
t2_s: 1.0e-6,
t2_star_s: 200e-9,
contrast: 0.03,
n_spins: 1.0e12,
shot_noise_disabled: !noiseEnabled.value,
},
dt_s: dtMs.value * 1e-3,
});
pushLog('dbg', `config pushed · fs=${fs.value} f_mod=${fmod.value} dt=${dtMs.value.toFixed(1)}ms noise=${noiseEnabled.value ? 'on' : 'off'}`);
} catch (e) {
pushLog('warn', `config push failed: ${(e as Error).message}`);
}
}, 300);
}
@customElement('nv-sidebar')
export class NvSidebar extends LitElement {
static styles = css`
:host {
display: flex; flex-direction: column; gap: 14px;
padding: 14px; overflow-y: auto;
background: var(--bg-1); border-right: 1px solid var(--line);
}
.panel {
background: var(--bg-2); border: 1px solid var(--line);
border-radius: var(--radius); padding: 12px;
}
.panel-h {
display: flex; align-items: center; justify-content: space-between;
font-size: 11px; font-weight: 600; color: var(--ink-3);
text-transform: uppercase; letter-spacing: 0.08em;
margin-bottom: 6px;
}
.panel-help {
font-size: 11.5px; color: var(--ink-3);
margin: 0 0 10px;
line-height: 1.5;
}
.help-link {
color: var(--accent-2);
cursor: pointer;
text-decoration: underline dotted;
}
.help-link:hover { color: var(--accent); }
.count {
background: var(--bg-3); color: var(--ink-2);
padding: 1px 6px; border-radius: 999px;
font-family: var(--mono); font-size: 10px;
text-transform: none; letter-spacing: 0;
}
.scene-item {
display: flex; align-items: center; gap: 10px;
padding: 8px 10px;
border-radius: var(--radius-sm);
cursor: pointer;
transition: background 0.15s;
border: 1px solid transparent;
}
.scene-item:hover { background: var(--bg-3); }
.scene-item .swatch { width: 8px; height: 8px; border-radius: 50%; flex-shrink: 0; }
.scene-item .name { font-size: 13px; flex: 1; }
.scene-item .meta { font-family: var(--mono); font-size: 10.5px; color: var(--ink-3); }
.field-row {
display: flex; align-items: center; justify-content: space-between;
padding: 6px 0; font-size: 12.5px;
border-bottom: 1px solid var(--line);
}
.field-row:last-child { border-bottom: 0; }
.field-row .lbl { color: var(--ink-3); }
.field-row .val { font-family: var(--mono); color: var(--ink); font-size: 12px; }
.slider-row { padding: 8px 0; border-bottom: 1px solid var(--line); }
.slider-row:last-child { border-bottom: 0; padding-bottom: 0; }
.slider-row .top { display: flex; justify-content: space-between; margin-bottom: 6px; font-size: 12px; }
.slider-row .top .lbl { color: var(--ink-3); }
.slider-row .top .val { font-family: var(--mono); color: var(--ink); }
input[type="range"] {
-webkit-appearance: none; appearance: none;
width: 100%; height: 4px;
background: var(--bg-3); border-radius: 2px; outline: none;
}
input[type="range"]::-webkit-slider-thumb {
-webkit-appearance: none; appearance: none;
width: 14px; height: 14px; border-radius: 50%;
background: var(--accent); cursor: pointer;
border: 2px solid var(--bg-2);
box-shadow: 0 0 0 1px var(--line-2);
}
.pipeline { display: flex; gap: 4px; align-items: center; flex-wrap: wrap; margin-top: 6px; }
.stage {
flex: 1; min-width: 50px;
padding: 4px 6px;
background: var(--bg-3); border: 1px solid var(--line);
border-radius: 6px; font-size: 9.5px; text-align: center;
color: var(--ink-2); font-family: var(--mono);
}
.stage.live { border-color: var(--accent-2); color: var(--accent-2); }
.stage-arrow { color: var(--ink-4); font-size: 10px; }
`;
override connectedCallback(): void {
super.connectedCallback();
effect(() => { fs.value; fmod.value; dtMs.value; noiseEnabled.value; running.value; this.requestUpdate(); });
}
override render() {
return html`
<div class="panel">
<div class="panel-h">Scene <span class="count">4 sources</span></div>
<div class="panel-help">
Magnetic primitives in the simulated environment. Drag any in the
canvas to reposition; positions persist across reloads.
</div>
<div class="scene-item">
<span class="swatch" style="background:oklch(0.72 0.18 330)"></span>
<span class="name">rebar.steel.coil</span>
<span class="meta">χ=5000</span>
</div>
<div class="scene-item">
<span class="swatch" style="background:oklch(0.78 0.14 195)"></span>
<span class="name">heart_proxy</span>
<span class="meta">1e-6 A·m²</span>
</div>
<div class="scene-item">
<span class="swatch" style="background:oklch(0.72 0.18 330)"></span>
<span class="name">mains_60Hz</span>
<span class="meta">2 A · 60 Hz</span>
</div>
<div class="scene-item">
<span class="swatch" style="background:oklch(0.78 0.14 145)"></span>
<span class="name">door.steel</span>
<span class="meta">eddy</span>
</div>
</div>
<div class="panel">
<div class="panel-h">NV sensor <span class="count">COTS</span></div>
<div class="panel-help">
Element Six DNV-B1 reference: 1 mm³ diamond, ~10¹² NV centers.
Floor δB ≈ 1.18 pT/√Hz per Barry 2020 §III.A.
<span class="help-link" title="Open glossary"
@click=${() => window.dispatchEvent(new CustomEvent('nv-show-help', { detail: { section: 'glossary' } }))}>What's NV?</span>
</div>
<div class="field-row" title="Sensing volume (cubic millimetres)"><span class="lbl">V</span><span class="val">1 mm³</span></div>
<div class="field-row" title="Number of NV centers contributing to readout"><span class="lbl">N</span><span class="val">1e12 NV</span></div>
<div class="field-row" title="ODMR contrast — fractional dip at resonance"><span class="lbl">C</span><span class="val">0.030</span></div>
<div class="field-row" title="Inhomogeneous dephasing time T₂*"><span class="lbl">T₂*</span><span class="val">200 ns</span></div>
<div class="field-row" title="Shot-noise-limited field sensitivity"><span class="lbl">δB</span><span class="val">1.18 pT/√Hz</span></div>
</div>
<div class="panel">
<div class="panel-h">Tunables</div>
<div class="panel-help">
Live pipeline parameters. Edits debounce 300 ms then rebuild the
WASM pipeline without restarting the frame stream.
</div>
<div class="slider-row" title="Digitiser sample rate — frames per second emitted by the pipeline">
<div class="top"><span class="lbl">Sample rate</span><span class="val">${(fs.value / 1000).toFixed(1)} kHz</span></div>
<input type="range" min="1000" max="100000" .value=${String(fs.value)}
aria-label="Sample rate in Hz"
@input=${(e: Event) => { fs.value = +(e.target as HTMLInputElement).value; pushConfigDebounced(); }} />
</div>
<div class="slider-row" title="Microwave modulation frequency for lock-in demodulation">
<div class="top"><span class="lbl">Lockin f_mod</span><span class="val">${(fmod.value / 1000).toFixed(3)} kHz</span></div>
<input type="range" min="100" max="5000" .value=${String(fmod.value)}
aria-label="Lock-in modulation frequency in Hz"
@input=${(e: Event) => { fmod.value = +(e.target as HTMLInputElement).value; pushConfigDebounced(); }} />
</div>
<div class="slider-row" title="Per-sample integration time">
<div class="top"><span class="lbl">Integration t</span><span class="val">${dtMs.value.toFixed(1)} ms</span></div>
<input type="range" min="0.1" max="10" step="0.1" .value=${String(dtMs.value)}
aria-label="Integration time in milliseconds"
@input=${(e: Event) => { dtMs.value = +(e.target as HTMLInputElement).value; pushConfigDebounced(); }} />
</div>
<div class="slider-row" title="Toggle shot-noise sampling. OFF = analytic noise-free output (debug only)">
<div class="top"><span class="lbl">Shot noise</span><span class="val">${noiseEnabled.value ? 'ON' : 'OFF'}</span></div>
<input type="range" min="0" max="1" .value=${noiseEnabled.value ? '1' : '0'}
aria-label="Shot-noise sampling enabled"
@input=${(e: Event) => { noiseEnabled.value = (e.target as HTMLInputElement).value === '1'; pushConfigDebounced(); }} />
</div>
</div>
<div class="panel">
<div class="panel-h">Pipeline</div>
<div class="panel-help">
Forward simulator stages, left to right. Stages glow cyan while
the pipeline is running.
</div>
<div class="pipeline">
<span class="stage ${running.value ? 'live' : ''}">scene</span>
<span class="stage-arrow">→</span>
<span class="stage ${running.value ? 'live' : ''}">B-S</span>
<span class="stage-arrow">→</span>
<span class="stage ${running.value ? 'live' : ''}">prop</span>
<span class="stage-arrow">→</span>
<span class="stage ${running.value ? 'live' : ''}">NV</span>
<span class="stage-arrow">→</span>
<span class="stage ${running.value ? 'live' : ''}">ADC</span>
<span class="stage-arrow">→</span>
<span class="stage ${running.value ? 'live' : ''}">frame</span>
</div>
</div>
`;
}
}
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/* Toast notification — shown briefly via window.dispatchEvent('nv-toast', detail). */
import { LitElement, html, css } from 'lit';
import { customElement, state } from 'lit/decorators.js';
@customElement('nv-toast')
export class NvToast extends LitElement {
@state() private visible = false;
@state() private msg = '';
@state() private icon = '✓';
private timer: number | null = null;
static styles = css`
:host {
position: fixed; bottom: 24px; left: 50%;
transform: translateX(-50%) translateY(80px);
background: var(--bg-2);
border: 1px solid var(--line-2);
border-radius: var(--radius);
padding: 10px 14px;
font-size: 12.5px;
box-shadow: var(--shadow);
z-index: 100;
opacity: 0; pointer-events: none;
transition: opacity 0.2s, transform 0.2s;
display: flex; align-items: center; gap: 8px;
}
:host([visible]) {
opacity: 1;
transform: translateX(-50%) translateY(0);
pointer-events: auto;
}
.icon { color: var(--accent); }
`;
override connectedCallback(): void {
super.connectedCallback();
window.addEventListener('nv-toast', this.onToast as EventListener);
}
override disconnectedCallback(): void {
super.disconnectedCallback();
window.removeEventListener('nv-toast', this.onToast as EventListener);
}
private onToast = (e: Event): void => {
const detail = (e as CustomEvent).detail as { msg?: string; icon?: string };
this.msg = detail.msg ?? 'Done';
this.icon = detail.icon ?? '✓';
this.visible = true;
this.setAttribute('visible', '');
if (this.timer !== null) window.clearTimeout(this.timer);
this.timer = window.setTimeout(() => {
this.visible = false;
this.removeAttribute('visible');
}, 1800);
};
override render() {
return html`<span class="icon">${this.icon}</span><span>${this.msg}</span>`;
}
}
export function toast(msg: string, icon = '✓'): void {
window.dispatchEvent(new CustomEvent('nv-toast', { detail: { msg, icon } }));
}
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/* Topbar — breadcrumbs, transport pill, FPS pill, seed pill, controls. */
import { LitElement, html, css } from 'lit';
import { customElement } from 'lit/decorators.js';
import { effect } from '@preact/signals-core';
import {
fps, transportLabel, seed, theme, sceneName,
running, getClient, pushLog,
} from '../store/appStore';
import { openModal } from './nv-modal';
import { toast } from './nv-toast';
@customElement('nv-topbar')
export class NvTopbar extends LitElement {
static styles = css`
:host {
display: flex; align-items: center;
padding: 0 16px; gap: 12px;
background: var(--bg-1);
border-bottom: 1px solid var(--line);
z-index: 10;
}
.crumbs { display: flex; align-items: center; gap: 8px; font-size: 12.5px; color: var(--ink-3); }
.crumbs .sep { color: var(--ink-4); }
.crumbs .cur { color: var(--ink); font-weight: 500; }
.spacer { flex: 1; }
.pill {
display: inline-flex; align-items: center; gap: 6px;
padding: 5px 10px;
background: var(--bg-2); border: 1px solid var(--line);
border-radius: 999px;
font-size: 12px; color: var(--ink-2);
font-family: var(--mono); font-weight: 500;
}
.pill .dot { width: 6px; height: 6px; border-radius: 50%; background: var(--ok); box-shadow: 0 0 6px var(--ok); animation: pulse 2s infinite; }
.pill.wasm .dot { background: var(--accent-2); box-shadow: 0 0 6px var(--accent-2); }
.pill.seed { color: var(--ink-3); cursor: pointer; }
.pill.seed:hover { border-color: var(--line-2); }
.pill.seed b { color: var(--accent); font-weight: 600; }
.pill.wasm { cursor: pointer; }
.pill.wasm:hover { border-color: var(--line-2); }
button {
display: inline-flex; align-items: center; gap: 6px;
padding: 6px 12px;
background: var(--bg-2); border: 1px solid var(--line);
border-radius: 8px;
font-size: 12.5px; font-weight: 500; color: var(--ink);
cursor: pointer;
transition: all 0.15s;
}
button:hover { border-color: var(--line-2); background: var(--bg-3); }
button.primary { background: var(--accent); border-color: var(--accent); color: #1a0f00; }
button.primary:hover { filter: brightness(1.08); }
button.ghost { background: transparent; }
`;
override connectedCallback(): void {
super.connectedCallback();
effect(() => { fps.value; transportLabel.value; seed.value; theme.value; sceneName.value; running.value; this.requestUpdate(); });
}
private async toggleRun(): Promise<void> {
const c = getClient(); if (!c) return;
if (running.value) { await c.pause(); running.value = false; }
else { await c.run(); running.value = true; }
}
private async reset(): Promise<void> {
const c = getClient(); if (!c) return;
await c.reset();
}
private toggleTheme(): void {
theme.value = theme.value === 'dark' ? 'light' : 'dark';
}
private async openSeedModal(): Promise<void> {
const cur = `0x${seed.value.toString(16).toUpperCase().padStart(8, '0')}`;
openModal({
title: 'Set seed',
body: `<p>Set the 32-bit hex seed for the shot-noise PRNG. Same <code>(scene, config, seed)</code> → byte-identical witness.</p>
<label>Hex seed</label>
<input type="text" id="seed-input" value="${cur}" autofocus />`,
buttons: [
{ label: 'Cancel', variant: 'ghost' },
{ label: 'Apply', variant: 'primary', onClick: async () => {
const inp = document.querySelector('nv-modal')?.shadowRoot?.querySelector<HTMLInputElement>('#seed-input');
if (!inp) return;
const raw = inp.value.trim().replace(/^0x/i, '');
const v = BigInt('0x' + raw);
seed.value = v;
await getClient()?.setSeed(v);
pushLog('ok', `seed → 0x${v.toString(16).toUpperCase()}`);
toast(`Seed → 0x${v.toString(16).toUpperCase().slice(0, 8)}`, '⟳');
} },
],
});
}
private openTransportSettings(): void {
window.dispatchEvent(new CustomEvent('open-settings'));
}
override render() {
const seedHex = seed.value.toString(16).toUpperCase().padStart(8, '0');
return html`
<div class="crumbs">
<span class="home">RuView</span><span class="sep">/</span>
<span>nvsim</span><span class="sep">/</span>
<span class="cur" id="scene-name">${sceneName.value}</span>
</div>
<div class="spacer"></div>
<span class="pill" id="fps-pill">
<span class="dot"></span>
<span id="fps-val">${fps.value > 0 ? (fps.value / 1000).toFixed(2) + ' kHz' : 'idle'}</span>
</span>
<span class="pill wasm" id="transport-pill" title="Transport settings"
@click=${this.openTransportSettings}>
<span class="dot"></span>${transportLabel.value}
</span>
<span class="pill seed" id="seed-pill" title="Set seed"
@click=${this.openSeedModal}>
seed: <b>0x${seedHex}</b>
</span>
<button class="ghost" id="tour-btn" title="Replay the 10-step welcome tour"
aria-label="Replay welcome tour"
@click=${() => window.dispatchEvent(new CustomEvent('nv-show-tour'))}>
★ Tour
</button>
<button class="ghost" id="help-btn" title="Help (press ? any time)" aria-label="Open help"
@click=${() => window.dispatchEvent(new CustomEvent('nv-show-help'))}>
?
</button>
<button class="ghost" id="theme-btn" title="Toggle theme" aria-label="Toggle theme"
@click=${this.toggleTheme}>
${theme.value === 'dark' ? '☼' : '☾'}
</button>
<button id="reset-btn" @click=${this.reset}>↺ Reset</button>
<button class="primary" id="run-btn" @click=${this.toggleRun}>
${running.value ? '❚❚ Pause' : '▶ Run'}
</button>
`;
}
}
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/* nvsim dashboard entry — boots the WasmClient, mounts <nv-app>. */
import './app.css';
import './components/nv-app';
import { effect } from '@preact/signals-core';
import { WasmClient } from './transport/WasmClient';
import { WsClient } from './transport/WsClient';
import type { NvsimClient, MagFrameBatch } from './transport/NvsimClient';
import {
setClient, transport, wsUrl, connected, transportError,
theme, density, motionReduced,
pushLog, expectedWitness, framesEmitted, fps, lastB, bMag,
pushTrace, pushStripBar, lastFrame, sceneJson, witnessHex,
replHistory, scenePositions, type SceneItemPos,
activeAppIds, pushAppEvent,
} from './store/appStore';
import { APP_RUNTIMES, type AppRuntimeContext } from './store/appRuntimes';
import { kvGet, kvSet } from './store/persistence';
function applyTheme(t: string): void {
document.documentElement.setAttribute('data-theme', t);
}
function applyDensity(d: string): void {
document.body.classList.remove('density-comfy', 'density-default', 'density-compact');
document.body.classList.add(`density-${d}`);
}
function applyMotion(reduced: boolean): void {
document.body.classList.toggle('reduce-motion', reduced);
}
(async () => {
// Restore persisted prefs
const t = (await kvGet<'dark' | 'light'>('theme')) ?? 'dark';
const d = (await kvGet<'comfy' | 'default' | 'compact'>('density')) ?? 'default';
const sysMotion = window.matchMedia?.('(prefers-reduced-motion: reduce)').matches ?? false;
const m = (await kvGet<boolean>('motionReduced')) ?? sysMotion;
theme.value = t; applyTheme(t);
density.value = d; applyDensity(d);
motionReduced.value = m; applyMotion(m);
// React to changes → persist
effect(() => { applyTheme(theme.value); kvSet('theme', theme.value); });
effect(() => { applyDensity(density.value); kvSet('density', density.value); });
effect(() => { applyMotion(motionReduced.value); kvSet('motionReduced', motionReduced.value); });
// REPL history + scene drag positions persistence (P0.10, P1.7)
const histSaved = await kvGet<string[]>('repl-history');
if (histSaved && Array.isArray(histSaved)) replHistory.value = histSaved;
effect(() => { void kvSet('repl-history', replHistory.value); });
const positionsSaved = await kvGet<SceneItemPos[]>('scene-positions');
if (positionsSaved && Array.isArray(positionsSaved)) scenePositions.value = positionsSaved;
effect(() => { void kvSet('scene-positions', scenePositions.value); });
// Restore WS URL preference + transport mode
const savedWsUrl = (await kvGet<string>('wsUrl')) ?? '';
if (savedWsUrl) wsUrl.value = savedWsUrl;
const savedTransport = (await kvGet<'wasm' | 'ws'>('transport')) ?? 'wasm';
transport.value = savedTransport;
effect(() => { void kvSet('wsUrl', wsUrl.value); });
effect(() => { void kvSet('transport', transport.value); });
// Per-app runtime scratch state + history buffer (defined first so the
// onFrames callback can close over them).
const appState: Record<string, Record<string, number>> = {};
const bMagHistory: number[] = [];
const runtimeStartTs = performance.now();
const onFrames = (batch: MagFrameBatch): void => {
if (batch.frames.length === 0) return;
const last = batch.frames[batch.frames.length - 1];
lastFrame.value = last;
const bx = last.bPt[0] * 1e-12;
const by = last.bPt[1] * 1e-12;
const bz = last.bPt[2] * 1e-12;
lastB.value = [bx, by, bz];
const bmagT = Math.sqrt(bx * bx + by * by + bz * bz);
bMag.value = bmagT;
pushTrace([bx * 1e9, by * 1e9, bz * 1e9]);
pushStripBar(Math.min(1, Math.abs(bz * 1e9) / 5 + 0.3));
bMagHistory.push(bmagT);
while (bMagHistory.length > 256) bMagHistory.shift();
const activeIds = activeAppIds.value;
if (activeIds.size === 0) return;
const elapsedS = (performance.now() - runtimeStartTs) / 1000;
for (const id of activeIds) {
const fn = APP_RUNTIMES[id];
if (!fn) continue;
if (!appState[id]) appState[id] = {};
const ctx: AppRuntimeContext = {
frame: last,
bMagT: bmagT,
bRecoveredT: [bx, by, bz],
bHistory: bMagHistory,
elapsedS,
state: appState[id],
};
try {
const result = fn(ctx);
if (!result) continue;
const evs = Array.isArray(result) ? result : [result];
for (const ev of evs) {
pushAppEvent(ev);
pushLog('info',
`<span class="k">[${ev.appId}]</span> <span class="s">${ev.eventName}</span> <span class="n">(${ev.eventId})</span>${ev.detail ? ' · ' + ev.detail : ''}`);
}
} catch (e) {
pushLog('warn', `[${id}] runtime error: ${(e as Error).message}`);
}
}
};
// Boot transport (WASM by default, WS if user previously selected it)
let activeClient: NvsimClient | null = null;
async function bootTransport(): Promise<void> {
try {
if (activeClient) await activeClient.close();
const want = transport.value;
if (want === 'ws' && wsUrl.value.trim()) {
const c = new WsClient(wsUrl.value.trim());
const info = await c.boot();
activeClient = c;
connected.value = true;
transportError.value = null;
expectedWitness.value = info.expectedWitnessHex;
wireClient(c);
pushLog('ok', `transport WS · ${wsUrl.value} · nvsim@${info.buildVersion}`);
} else {
if (want === 'ws') {
pushLog('warn', 'WS transport selected but no URL set — falling back to WASM');
}
const c = new WasmClient();
const info = await c.boot();
activeClient = c;
connected.value = true;
transportError.value = null;
expectedWitness.value = info.expectedWitnessHex;
wireClient(c);
pushLog('ok', `transport WASM · nvsim@${info.buildVersion} · magic=0x${info.frameMagic.toString(16).toUpperCase()}`);
}
setClient(activeClient);
} catch (e) {
const msg = (e as Error).message;
transportError.value = msg;
connected.value = false;
pushLog('err', `transport boot failed: ${msg}`);
}
}
function wireClient(c: NvsimClient): void {
c.onEvent((ev) => {
if (ev.type === 'log') pushLog(ev.level, ev.msg);
if (ev.type === 'fps') fps.value = ev.value;
if (ev.type === 'state') framesEmitted.value = BigInt(ev.framesEmitted);
});
c.onFrames(onFrames);
}
// React to transport-mode flips: tear down + re-boot.
let bootInProgress = false;
effect(() => {
transport.value; wsUrl.value;
if (bootInProgress) return;
bootInProgress = true;
void bootTransport().finally(() => { bootInProgress = false; });
});
pushLog('info', 'nvsim — booting transport');
// Initial boot — handled by the effect() above.
// Auto-verify witness whenever a fresh transport boot completes.
let verifiedFor: string | null = null;
effect(() => {
const exp = expectedWitness.value;
const isConn = connected.value;
if (!exp || !isConn) return;
if (verifiedFor === exp) return;
verifiedFor = exp;
void (async () => {
const c = activeClient;
if (!c) return;
try {
const expBytes = new Uint8Array(32);
for (let i = 0; i < 32; i++) expBytes[i] = parseInt(exp.slice(i * 2, i * 2 + 2), 16);
const r = await c.verifyWitness(expBytes);
if (r.ok) {
witnessHex.value = exp;
pushLog('ok', `witness verified · determinism gate ✓ · transport=${transport.value}`);
} else {
const actual = Array.from(r.actual).map((b) => b.toString(16).padStart(2, '0')).join('');
witnessHex.value = actual;
pushLog('err', `WITNESS MISMATCH · expected ${exp.slice(0, 16)}… got ${actual.slice(0, 16)}`);
}
} catch (e) {
pushLog('warn', `witness verify skipped: ${(e as Error).message}`);
}
})();
});
sceneJson.value = '(reference scene)';
})();
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/* In-browser simulated runtimes for App Store apps.
*
* Each runtime takes the most recent nvsim MagFrame + a short rolling
* history and decides whether to emit one or more app events. Outputs are
* illustrative: nvsim produces magnetic-field samples, the wasm-edge
* algorithms expect WiFi CSI subcarriers — different physical modalities.
* The simulated runtime preserves *event-emission semantics* (the same
* i32 event IDs, the same trigger logic shape) so users can see the
* cards working without an ESP32 mesh.
*
* For engineering-grade output, deploy the real `wifi-densepose-wasm-edge`
* crate to ESP32 firmware over the WS transport — see ADR-040 / ADR-092 §6.2.
*/
import type { MagFrameRecord } from '../transport/NvsimClient';
export interface AppEvent {
/** Wall-clock timestamp (ms). */
ts: number;
/** App id that emitted. */
appId: string;
/** i32 event id from `event_types` mod in wifi-densepose-wasm-edge. */
eventId: number;
/** Human-readable event name (matches the constant name). */
eventName: string;
/** Numeric value the app reports (units app-specific). */
value: number;
/** Optional extra context for the console line. */
detail?: string;
}
export interface AppRuntimeContext {
frame: MagFrameRecord;
bMagT: number;
bRecoveredT: [number, number, number];
/** Rolling history of |B| in T. Most recent last. */
bHistory: number[];
/** Time since the runtime was activated (s). */
elapsedS: number;
/** Per-app scratch state — runtimes can persist counters here. */
state: Record<string, number>;
}
export type AppRuntimeFn = (ctx: AppRuntimeContext) => AppEvent | AppEvent[] | null;
/** Welford-style running-stat helper. */
function rollingMean(arr: number[]): number {
if (arr.length === 0) return 0;
let s = 0;
for (const v of arr) s += v;
return s / arr.length;
}
function rollingStd(arr: number[]): number {
if (arr.length < 2) return 0;
const m = rollingMean(arr);
let s = 0;
for (const v of arr) s += (v - m) * (v - m);
return Math.sqrt(s / (arr.length - 1));
}
/** vital_trend — periodic 1-Hz HR/BR estimate from the B_z oscillation. */
const vitalTrend: AppRuntimeFn = (ctx) => {
if (ctx.bHistory.length < 64) return null;
const last = ctx.state['lastEmitS'] ?? 0;
if (ctx.elapsedS - last < 1.0) return null;
ctx.state['lastEmitS'] = ctx.elapsedS;
// Crude HR estimate: count zero-crossings of detrended B_z over the last
// 64 samples; treat each crossing pair as one cardiac cycle.
const tail = ctx.bHistory.slice(-64);
const m = rollingMean(tail);
let crossings = 0;
for (let i = 1; i < tail.length; i++) {
if ((tail[i] - m) * (tail[i - 1] - m) < 0) crossings++;
}
// 64 samples ≈ 0.65 s at the worker's 32-frame batches × 16 ms tick.
const cycles = crossings / 2;
const hr = Math.max(40, Math.min(180, Math.round((cycles / 0.65) * 60)));
const br = Math.max(8, Math.min(30, Math.round(hr / 4))); // crude proxy
const evs: AppEvent[] = [
{ ts: Date.now(), appId: 'vital_trend', eventId: 100, eventName: 'VITAL_TREND', value: hr, detail: `HR≈${hr} BPM, BR≈${br} br/min` },
];
if (hr < 60) evs.push({ ts: Date.now(), appId: 'vital_trend', eventId: 103, eventName: 'BRADYCARDIA', value: hr, detail: `HR=${hr} BPM` });
else if (hr > 100) evs.push({ ts: Date.now(), appId: 'vital_trend', eventId: 104, eventName: 'TACHYCARDIA', value: hr, detail: `HR=${hr} BPM` });
if (br < 12) evs.push({ ts: Date.now(), appId: 'vital_trend', eventId: 101, eventName: 'BRADYPNEA', value: br, detail: `BR=${br} br/min` });
else if (br > 24) evs.push({ ts: Date.now(), appId: 'vital_trend', eventId: 102, eventName: 'TACHYPNEA', value: br, detail: `BR=${br} br/min` });
return evs;
};
/** occupancy — variance threshold on |B| over a 5-second window. */
const occupancy: AppRuntimeFn = (ctx) => {
if (ctx.bHistory.length < 32) return null;
const last = ctx.state['lastEmitS'] ?? 0;
if (ctx.elapsedS - last < 2.0) return null;
const std = rollingStd(ctx.bHistory.slice(-128)) * 1e9; // T → nT
const occupied = std > 0.01; // empirical threshold for the demo
const wasOccupied = (ctx.state['occ'] ?? 0) > 0.5;
if (occupied !== wasOccupied) {
ctx.state['occ'] = occupied ? 1 : 0;
ctx.state['lastEmitS'] = ctx.elapsedS;
return {
ts: Date.now(),
appId: 'occupancy',
eventId: occupied ? 300 : 302,
eventName: occupied ? 'ZONE_OCCUPIED' : 'ZONE_TRANSITION',
value: std,
detail: occupied ? `σ(|B|)=${std.toFixed(3)} nT — entered` : `σ(|B|)=${std.toFixed(3)} nT — left`,
};
}
return null;
};
/** intrusion — |B| above ambient + dwell timer. */
const intrusion: AppRuntimeFn = (ctx) => {
const ambient = ctx.state['ambient'] ?? ctx.bMagT;
ctx.state['ambient'] = 0.95 * ambient + 0.05 * ctx.bMagT;
const exceeds = ctx.bMagT > ambient * 1.5 && ctx.bMagT > 1e-12;
const dwellStart = ctx.state['dwellStart'] ?? 0;
if (exceeds && dwellStart === 0) {
ctx.state['dwellStart'] = ctx.elapsedS;
} else if (!exceeds) {
ctx.state['dwellStart'] = 0;
}
if (exceeds && dwellStart > 0 && ctx.elapsedS - dwellStart > 0.5 && (ctx.state['lastEmitS'] ?? 0) < dwellStart) {
ctx.state['lastEmitS'] = ctx.elapsedS;
return {
ts: Date.now(),
appId: 'intrusion',
eventId: 200,
eventName: 'INTRUSION_ALERT',
value: ctx.bMagT * 1e9,
detail: `|B|=${(ctx.bMagT * 1e9).toFixed(2)} nT > 1.5× ambient (${(ambient * 1e9).toFixed(2)} nT) for ${(ctx.elapsedS - dwellStart).toFixed(1)} s`,
};
}
return null;
};
/** coherence — z-score of recent |B| against a longer baseline. */
const coherence: AppRuntimeFn = (ctx) => {
if (ctx.bHistory.length < 64) return null;
const last = ctx.state['lastEmitS'] ?? 0;
if (ctx.elapsedS - last < 0.5) return null;
ctx.state['lastEmitS'] = ctx.elapsedS;
const recent = ctx.bHistory.slice(-32);
const baseline = ctx.bHistory.slice(-128, -32);
if (baseline.length < 32) return null;
const mu = rollingMean(baseline);
const sd = rollingStd(baseline);
if (sd === 0) return null;
const recentMean = rollingMean(recent);
const z = Math.abs(recentMean - mu) / sd;
return {
ts: Date.now(),
appId: 'coherence',
eventId: 2,
eventName: 'COHERENCE_SCORE',
value: z,
detail: `z=${z.toFixed(2)} σ ${z > 3 ? '· DRIFT' : z > 1.5 ? '· marginal' : '· stable'}`,
};
};
/** adversarial — detect physically-impossible 1/r³ violation. */
const adversarial: AppRuntimeFn = (ctx) => {
if (ctx.bHistory.length < 32) return null;
const last = ctx.state['lastEmitS'] ?? 0;
if (ctx.elapsedS - last < 3.0) return null;
// Fake "multi-link consistency": compare instantaneous |B| with the
// smoothed |B|. A sharp factor-of-N step violates dipole physics
// (real 1/r³ source moves continuously).
const tail = ctx.bHistory.slice(-32);
let maxJump = 0;
for (let i = 1; i < tail.length; i++) {
const j = Math.abs(Math.log(Math.max(tail[i], 1e-15)) - Math.log(Math.max(tail[i - 1], 1e-15)));
if (j > maxJump) maxJump = j;
}
if (maxJump > 5) {
ctx.state['lastEmitS'] = ctx.elapsedS;
return {
ts: Date.now(),
appId: 'adversarial',
eventId: 3,
eventName: 'ANOMALY_DETECTED',
value: maxJump,
detail: `log-jump ${maxJump.toFixed(1)} — physically implausible step in |B|`,
};
}
return null;
};
/** exo_ghost_hunter — empty-room CSI anomaly detector adapted to the
* magnetic noise floor: flag impulsive / periodic / drift / random
* patterns and a hidden-presence sub-detector at 0.15-0.5 Hz. */
const exoGhostHunter: AppRuntimeFn = (ctx) => {
if (ctx.bHistory.length < 128) return null;
const last = ctx.state['lastEmitS'] ?? 0;
if (ctx.elapsedS - last < 4.0) return null;
ctx.state['lastEmitS'] = ctx.elapsedS;
const tail = ctx.bHistory.slice(-128);
const std = rollingStd(tail) * 1e9;
// Detect impulsive: max - mean > 4σ
const m = rollingMean(tail);
let maxDev = 0;
for (const v of tail) {
const d = Math.abs(v - m);
if (d > maxDev) maxDev = d;
}
const cls: 1 | 3 | 4 = maxDev > 4 * (std * 1e-9) ? 1 // impulsive
: ctx.elapsedS > 10 ? 3 // drift bias as a default after warmup
: 4; // random
const clsName = cls === 1 ? 'impulsive' : cls === 3 ? 'drift' : 'random';
return {
ts: Date.now(),
appId: 'exo_ghost_hunter',
eventId: 651,
eventName: 'ANOMALY_CLASS',
value: cls,
detail: `class=${clsName} · σ=${std.toFixed(3)} nT`,
};
};
export const APP_RUNTIMES: Record<string, AppRuntimeFn> = {
vital_trend: vitalTrend,
occupancy,
intrusion,
coherence,
adversarial,
exo_ghost_hunter: exoGhostHunter,
};
export function hasRuntime(appId: string): boolean {
return appId in APP_RUNTIMES;
}
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/* Application-wide reactive state.
*
* One signal per logical observable; components subscribe to only the
* signals they read. Keeps re-renders surgical even at 1 kHz frame rates.
* Persistence lives in `persistence.ts`; this module is pure state.
*/
import { signal, computed } from '@preact/signals-core';
import type { NvsimClient, MagFrameRecord, NvsimEvent } from '../transport/NvsimClient';
export type Theme = 'dark' | 'light';
export type Density = 'comfy' | 'default' | 'compact';
export type TransportMode = 'wasm' | 'ws';
export const transport = signal<TransportMode>('wasm');
export const wsUrl = signal<string>('');
export const connected = signal<boolean>(false);
export const transportError = signal<string | null>(null);
export const running = signal<boolean>(false);
export const paused = signal<boolean>(true);
export const speed = signal<number>(1.0);
export const t = signal<number>(0); // sim time (s)
export const framesEmitted = signal<bigint>(0n);
export const seed = signal<bigint>(0xCAFEBABEn);
export const fs = signal<number>(10000); // sample rate Hz
export const fmod = signal<number>(1000); // lockin Hz
export const dtMs = signal<number>(1.0);
export const noiseEnabled = signal<boolean>(true);
export const theme = signal<Theme>('dark');
export const density = signal<Density>('default');
export const motionReduced = signal<boolean>(false);
export const autoUpdate = signal<boolean>(true);
export const lastB = signal<[number, number, number]>([0, 0, 0]); // T
export const bMag = signal<number>(0);
export const snr = signal<number>(0);
export const fps = signal<number>(0);
export const witnessHex = signal<string>('');
export const witnessVerified = signal<'pending' | 'ok' | 'fail' | 'idle'>('idle');
export const expectedWitness = signal<string>('');
export const lastFrame = signal<MagFrameRecord | null>(null);
export const traceX = signal<number[]>([]);
export const traceY = signal<number[]>([]);
export const traceZ = signal<number[]>([]);
export const stripBars = signal<number[]>([]);
export const sceneName = signal<string>('rebar-walkby-01');
export const sceneJson = signal<string>('');
export const consolePaused = signal<boolean>(false);
export const consoleFilter = signal<'all' | 'info' | 'warn' | 'err' | 'dbg' | 'ok'>('all');
/** REPL command history, persisted via persistence.ts (kvSet 'repl-history'). */
export const replHistory = signal<string[]>([]);
export function pushReplHistory(cmd: string): void {
const next = replHistory.value.slice();
next.push(cmd);
while (next.length > 200) next.shift();
replHistory.value = next;
}
/** Scene drag positions, persisted via persistence.ts (kvSet 'scene-positions'). */
export interface SceneItemPos { id: string; x: number; y: number }
export const scenePositions = signal<SceneItemPos[]>([]);
/** App-runtime emitted events. See appRuntimes.ts. */
import type { AppEvent } from './appRuntimes';
export const appEvents = signal<AppEvent[]>([]);
export const appEventCounts = signal<Record<string, number>>({});
export function pushAppEvent(ev: AppEvent): void {
const next = appEvents.value.slice();
next.push(ev);
while (next.length > 200) next.shift();
appEvents.value = next;
const c = { ...appEventCounts.value };
c[ev.appId] = (c[ev.appId] ?? 0) + 1;
appEventCounts.value = c;
}
/** Active app activations — driven by the App Store toggles. Mirrored
* from `apps.ts` but exposed as a signal here so `main.ts` can dispatch
* frames to active runtimes without importing the App Store component. */
export const activeAppIds = signal<Set<string>>(new Set());
export const transportLabel = computed<string>(() =>
transport.value === 'wasm' ? 'wasm' : 'ws',
);
let _client: NvsimClient | null = null;
export function setClient(c: NvsimClient): void { _client = c; }
export function getClient(): NvsimClient | null { return _client; }
export interface ConsoleLine {
ts: number;
level: 'info' | 'warn' | 'err' | 'dbg' | 'ok';
msg: string;
}
export const consoleLines = signal<ConsoleLine[]>([]);
const MAX_LINES = 200;
export function pushLog(level: ConsoleLine['level'], msg: string): void {
if (consolePaused.value) return;
const next = consoleLines.value.slice();
next.push({ ts: Date.now(), level, msg });
while (next.length > MAX_LINES) next.shift();
consoleLines.value = next;
}
export function pushTrace(b: [number, number, number]): void {
const cap = 200;
const x = traceX.value.slice(); x.push(b[0]); if (x.length > cap) x.shift();
const y = traceY.value.slice(); y.push(b[1]); if (y.length > cap) y.shift();
const z = traceZ.value.slice(); z.push(b[2]); if (z.length > cap) z.shift();
traceX.value = x;
traceY.value = y;
traceZ.value = z;
}
export function pushStripBar(amp: number): void {
const cap = 48;
const next = stripBars.value.slice();
next.push(Math.max(0, Math.min(1, amp)));
while (next.length > cap) next.shift();
stripBars.value = next;
}
export function recordEvent(_ev: NvsimEvent): void {
// future: route NvsimEvent into store updates per type. For V1 the
// worker pushes B-vector / frame data directly via the data plane.
}
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/* RuView Edge App Store registry.
*
* Catalog of every WASM edge module shipping in the workspace plus the
* `nvsim` simulator itself. Each entry maps to a hot-loadable algorithm
* the dashboard can run in-browser (WASM transport) or push to a real
* ESP32-S3 mesh (WS transport, deployed via WASM3 — ADR-040 Tier 3).
*
* Categories (ADR-041 event-ID ranges):
* med 100199 Medical & health
* sec 200299 Security & safety
* bld 300399 Smart building
* ret 400499 Retail & hospitality
* ind 500599 Industrial
* sig 600619 Signal-processing primitives
* lrn 620639 Online learning
* spt 640659 Spatial / graph
* tmp 640660 Temporal logic / planning
* ais 700719 AI safety
* qnt 720739 Quantum-flavoured signal
* aut 740759 Autonomy / mesh
* exo 650699 Exotic / research
* sim — Pipeline simulators (nvsim)
*
* The `crate` field names the Cargo crate that owns the implementation.
* `wasmEdge` apps are compiled out of `wifi-densepose-wasm-edge`;
* `nvsim` apps come from `nvsim`. Future apps may target other crates.
*/
export type AppCategory =
| 'sim'
| 'med'
| 'sec'
| 'bld'
| 'ret'
| 'ind'
| 'sig'
| 'lrn'
| 'spt'
| 'tmp'
| 'ais'
| 'qnt'
| 'aut'
| 'exo';
/** What actually happens when a card's toggle is on.
* - `running` — the algorithm is genuinely running in the browser right now
* (e.g. `nvsim` itself, which is the simulator the dashboard fronts).
* - `simulated` — a pared-down version of the algorithm runs against nvsim's
* live magnetic frame stream as a *proxy* for its native CSI input.
* Emits real i32 event IDs into the console feed; output is illustrative,
* not engineering-grade. Listed apps' Rust source is real, builds for
* wasm32-unknown-unknown, and passes its native unit tests.
* - `mesh-only` — algorithm needs CSI subcarrier data from a real ESP32-S3
* mesh (or a future CSI simulator). Toggling persists the selection so
* the WS transport can push activation when connected. */
export type AppRuntime = 'running' | 'simulated' | 'mesh-only';
export interface AppManifest {
/** Stable kebab-case id; matches the wasm-edge module name (e.g. `med_sleep_apnea`). */
id: string;
/** Human-readable name. */
name: string;
/** Category short-code. */
category: AppCategory;
/** Cargo crate the implementation lives in. */
crate: 'nvsim' | 'wifi-densepose-wasm-edge' | string;
/** One-liner description. */
summary: string;
/** Optional longer markdown body. */
body?: string;
/** Numeric event IDs this app emits (i32 codes from `event_types` mod). */
events?: number[];
/** Compute budget tier the module advertises. S=<5ms, M=<15ms, L=<50ms. */
budget?: 'S' | 'M' | 'L';
/** Default activation state when listed. */
active?: boolean;
/** Tags for fuzzy search and filtering. */
tags?: string[];
/** "Available", "Beta", or "Research" maturity. */
status: 'available' | 'beta' | 'research';
/** ADR back-reference. */
adr?: string;
/** What actually happens when active — see AppRuntime docs. */
runtime?: AppRuntime;
}
export const APPS: AppManifest[] = [
// ── Pipeline simulators ──────────────────────────────────────────────────
{
id: 'nvsim',
name: 'nvsim — NV-diamond magnetometer',
category: 'sim',
crate: 'nvsim',
summary:
'Deterministic forward simulator: scene → BiotSavart → NV ensemble → ADC → MagFrame stream + SHA-256 witness.',
budget: 'L',
active: true,
status: 'available',
tags: ['quantum', 'magnetometer', 'simulator', 'witness', 'wasm'],
adr: 'ADR-089',
runtime: 'running',
},
// ── Core sensing primitives (ADR-014/040 flagship modules) ───────────────
{
id: 'gesture',
name: 'Gesture (DTW)',
category: 'sig',
crate: 'wifi-densepose-wasm-edge',
summary: 'Dynamic-Time-Warping gesture classifier from CSI motion templates.',
events: [1],
budget: 'M',
status: 'available',
tags: ['hci', 'csi', 'classifier', 'dtw'],
adr: 'ADR-014',
runtime: 'mesh-only',
},
{
id: 'coherence',
name: 'Coherence gate',
category: 'sig',
crate: 'wifi-densepose-wasm-edge',
summary: 'Z-score coherence scoring + Accept/PredictOnly/Reject/Recalibrate gate.',
events: [2],
budget: 'S',
status: 'available',
tags: ['gate', 'csi', 'coherence', 'drift'],
adr: 'ADR-029',
runtime: 'simulated',
},
{
id: 'adversarial',
name: 'Adversarial-signal detector',
category: 'ais',
crate: 'wifi-densepose-wasm-edge',
summary:
'Physically-impossible-signal detector — multi-link consistency, used to flag spoofed CSI.',
events: [3],
budget: 'M',
status: 'available',
tags: ['security', 'csi', 'spoofing', 'mesh'],
adr: 'ADR-032',
runtime: 'simulated',
},
{
id: 'rvf',
name: 'RVF — Rust Verified Feature stream',
category: 'sig',
crate: 'wifi-densepose-wasm-edge',
summary: 'Verified-frame builder with SHA-256 hash + version metadata for the feature stream.',
budget: 'S',
status: 'available',
tags: ['witness', 'csi', 'hash'],
adr: 'ADR-040',
},
{
id: 'occupancy',
name: 'Occupancy estimator',
category: 'bld',
crate: 'wifi-densepose-wasm-edge',
summary: 'Through-wall presence + person-count via CSI amplitude perturbation.',
events: [300, 301, 302],
budget: 'S',
status: 'available',
tags: ['csi', 'building', 'presence'],
runtime: 'simulated',
},
{
id: 'vital_trend',
name: 'Vital-trend monitor',
category: 'med',
crate: 'wifi-densepose-wasm-edge',
summary: 'HR + BR trend tracking with bradycardia/tachycardia/apnea events.',
events: [100, 101, 102, 103, 104, 105],
budget: 'S',
status: 'available',
tags: ['medical', 'vitals', 'csi'],
adr: 'ADR-021',
runtime: 'simulated',
},
{
id: 'intrusion',
name: 'Intrusion detector',
category: 'sec',
crate: 'wifi-densepose-wasm-edge',
summary: 'Zone-based intrusion alert from CSI motion patterns.',
events: [200, 201],
budget: 'S',
status: 'available',
tags: ['security', 'zone', 'csi'],
runtime: 'simulated',
},
// ── Medical & Health (100-series) ────────────────────────────────────────
{ id: 'med_sleep_apnea', name: 'Sleep-apnea detector', category: 'med', crate: 'wifi-densepose-wasm-edge', summary: 'Episodic respiratory pause detection during sleep cycles.', events: [105], budget: 'S', status: 'available', tags: ['medical', 'sleep', 'breathing'] },
{ id: 'med_cardiac_arrhythmia', name: 'Cardiac arrhythmia', category: 'med', crate: 'wifi-densepose-wasm-edge', summary: 'Beat-to-beat irregularity classifier from cardiac micro-Doppler.', events: [103, 104], budget: 'M', status: 'available', tags: ['medical', 'cardiac', 'arrhythmia'] },
{ id: 'med_respiratory_distress', name: 'Respiratory distress', category: 'med', crate: 'wifi-densepose-wasm-edge', summary: 'Distress signature: rapid shallow breathing + accessory-muscle motion.', events: [101, 102], budget: 'S', status: 'available', tags: ['medical', 'breathing', 'icu'] },
{ id: 'med_gait_analysis', name: 'Gait analysis', category: 'med', crate: 'wifi-densepose-wasm-edge', summary: 'Stride length, cadence, asymmetry from through-wall CSI pose tracking.', budget: 'M', status: 'available', tags: ['medical', 'gait', 'pose'] },
{ id: 'med_seizure_detect', name: 'Seizure detector', category: 'med', crate: 'wifi-densepose-wasm-edge', summary: 'Tonic-clonic seizure motion signature.', budget: 'M', status: 'beta', tags: ['medical', 'neuro'] },
// ── Security (200-series) ────────────────────────────────────────────────
{ id: 'sec_perimeter_breach', name: 'Perimeter breach', category: 'sec', crate: 'wifi-densepose-wasm-edge', summary: 'Approach/departure detection at user-defined boundary segments.', events: [210, 211, 212, 213], budget: 'S', status: 'available', tags: ['security', 'perimeter'] },
{ id: 'sec_weapon_detect', name: 'Metal anomaly / weapon', category: 'sec', crate: 'wifi-densepose-wasm-edge', summary: 'Metal-perturbation flag in CSI; potential weapon presence (research).', events: [220, 221, 222], budget: 'M', status: 'research', tags: ['security', 'metal', 'csi'] },
{ id: 'sec_tailgating', name: 'Tailgating detector', category: 'sec', crate: 'wifi-densepose-wasm-edge', summary: 'Detect 2+ persons crossing a single-passage threshold.', events: [230, 231, 232], budget: 'S', status: 'available', tags: ['security', 'access-control'] },
{ id: 'sec_loitering', name: 'Loitering detector', category: 'sec', crate: 'wifi-densepose-wasm-edge', summary: 'Stationary occupancy past a configurable dwell threshold.', events: [240, 241, 242], budget: 'S', status: 'available', tags: ['security', 'dwell'] },
{ id: 'sec_panic_motion', name: 'Panic motion', category: 'sec', crate: 'wifi-densepose-wasm-edge', summary: 'High-energy distress motion: struggle / fleeing pattern.', events: [250, 251, 252], budget: 'S', status: 'beta', tags: ['security', 'distress'] },
// ── Smart Building (300-series) ──────────────────────────────────────────
{ id: 'bld_hvac_presence', name: 'HVAC presence', category: 'bld', crate: 'wifi-densepose-wasm-edge', summary: 'Occupied/activity-level/departure-countdown for HVAC zones.', events: [310, 311, 312], budget: 'S', status: 'available', tags: ['hvac', 'building', 'energy'] },
{ id: 'bld_lighting_zones', name: 'Lighting zones', category: 'bld', crate: 'wifi-densepose-wasm-edge', summary: 'Per-zone light on/dim/off cues from occupancy.', events: [320, 321, 322], budget: 'S', status: 'available', tags: ['lighting', 'building'] },
{ id: 'bld_elevator_count', name: 'Elevator count', category: 'bld', crate: 'wifi-densepose-wasm-edge', summary: 'Person count inside elevator car from CSI.', events: [330], budget: 'S', status: 'available', tags: ['elevator', 'building'] },
{ id: 'bld_meeting_room', name: 'Meeting-room utilization', category: 'bld', crate: 'wifi-densepose-wasm-edge', summary: 'Meeting size + duration analytics for booking systems.', budget: 'S', status: 'available', tags: ['meeting', 'analytics'] },
{ id: 'bld_energy_audit', name: 'Energy audit', category: 'bld', crate: 'wifi-densepose-wasm-edge', summary: 'Continuous occupancy-vs-HVAC-state audit for energy savings.', budget: 'M', status: 'available', tags: ['energy', 'audit'] },
// ── Retail (400-series) ──────────────────────────────────────────────────
{ id: 'ret_queue_length', name: 'Queue length', category: 'ret', crate: 'wifi-densepose-wasm-edge', summary: 'Live queue-length tracking for checkout / kiosks.', budget: 'S', status: 'available', tags: ['retail', 'queue'] },
{ id: 'ret_dwell_heatmap', name: 'Dwell heatmap', category: 'ret', crate: 'wifi-densepose-wasm-edge', summary: 'Per-zone dwell time accumulation; analytics-only export.', budget: 'M', status: 'available', tags: ['retail', 'heatmap'] },
{ id: 'ret_customer_flow', name: 'Customer flow', category: 'ret', crate: 'wifi-densepose-wasm-edge', summary: 'Origin-destination flow graph through a store layout.', budget: 'M', status: 'available', tags: ['retail', 'flow'] },
{ id: 'ret_table_turnover', name: 'Table turnover', category: 'ret', crate: 'wifi-densepose-wasm-edge', summary: 'Restaurant table seat / vacate transitions.', budget: 'S', status: 'available', tags: ['retail', 'restaurant'] },
{ id: 'ret_shelf_engagement', name: 'Shelf engagement', category: 'ret', crate: 'wifi-densepose-wasm-edge', summary: 'Reach-to-shelf gestures and dwell at product zones.', budget: 'M', status: 'available', tags: ['retail', 'shelf'] },
// ── Industrial (500-series) ──────────────────────────────────────────────
{ id: 'ind_forklift_proximity', name: 'Forklift proximity', category: 'ind', crate: 'wifi-densepose-wasm-edge', summary: 'Worker-near-forklift safety alert.', budget: 'S', status: 'available', tags: ['industrial', 'safety'] },
{ id: 'ind_confined_space', name: 'Confined-space monitor', category: 'ind', crate: 'wifi-densepose-wasm-edge', summary: 'Last-person-out detection + presence audit for OSHA confined-space entries.', budget: 'S', status: 'available', tags: ['industrial', 'osha'] },
{ id: 'ind_clean_room', name: 'Clean-room PPE / motion', category: 'ind', crate: 'wifi-densepose-wasm-edge', summary: 'Motion patterns consistent with proper PPE-clad movement.', budget: 'M', status: 'beta', tags: ['industrial', 'cleanroom'] },
{ id: 'ind_livestock_monitor', name: 'Livestock monitor', category: 'ind', crate: 'wifi-densepose-wasm-edge', summary: 'Vital-sign + activity tracking for stall-bound livestock.', budget: 'M', status: 'beta', tags: ['agriculture', 'livestock'] },
{ id: 'ind_structural_vibration', name: 'Structural vibration', category: 'ind', crate: 'wifi-densepose-wasm-edge', summary: 'Building/equipment micro-vibration via CSI phase derivative.', budget: 'M', status: 'research', tags: ['industrial', 'vibration'] },
// ── Signal primitives (600-series) ───────────────────────────────────────
{ id: 'sig_coherence_gate', name: 'Coherence gate (extended)', category: 'sig', crate: 'wifi-densepose-wasm-edge', summary: 'Hysteresis + multi-state coherence gate driving downstream apps.', budget: 'S', status: 'available', tags: ['gate', 'csi'] },
{ id: 'sig_flash_attention', name: 'Flash attention (CSI)', category: 'sig', crate: 'wifi-densepose-wasm-edge', summary: 'Edge-friendly attention block for CSI subcarrier weighting.', budget: 'M', status: 'beta', tags: ['attention', 'csi'] },
{ id: 'sig_temporal_compress', name: 'Temporal-tensor compress', category: 'sig', crate: 'wifi-densepose-wasm-edge', summary: 'RuVector temporal-tensor compression on the CSI buffer.', budget: 'M', status: 'available', tags: ['compress', 'tensor'] },
{ id: 'sig_sparse_recovery', name: 'Sparse recovery', category: 'sig', crate: 'wifi-densepose-wasm-edge', summary: '114→56 subcarrier sparse interpolation via L1 solver.', budget: 'M', status: 'available', tags: ['sparse', 'csi'] },
{ id: 'sig_mincut_person_match', name: 'Mincut person-match', category: 'sig', crate: 'wifi-densepose-wasm-edge', summary: 'Min-cut person assignment across multistatic frames.', budget: 'M', status: 'available', tags: ['mincut', 'matching'] },
{ id: 'sig_optimal_transport', name: 'Optimal transport', category: 'sig', crate: 'wifi-densepose-wasm-edge', summary: 'OT-based feature alignment between mesh nodes.', budget: 'M', status: 'beta', tags: ['ot', 'alignment'] },
// ── Online learning ──────────────────────────────────────────────────────
{ id: 'lrn_dtw_gesture_learn', name: 'DTW gesture learn', category: 'lrn', crate: 'wifi-densepose-wasm-edge', summary: 'On-device template learning for personalized gesture libraries.', budget: 'M', status: 'beta', tags: ['lifelong', 'gesture'] },
{ id: 'lrn_anomaly_attractor', name: 'Anomaly attractor', category: 'lrn', crate: 'wifi-densepose-wasm-edge', summary: 'Novelty detector with dynamic-attractor recall.', budget: 'M', status: 'research', tags: ['novelty', 'lifelong'] },
{ id: 'lrn_meta_adapt', name: 'Meta-adapt', category: 'lrn', crate: 'wifi-densepose-wasm-edge', summary: 'Meta-learning adapter for fast site-to-site transfer.', budget: 'L', status: 'research', tags: ['meta-learning'] },
{ id: 'lrn_ewc_lifelong', name: 'EWC++ lifelong', category: 'lrn', crate: 'wifi-densepose-wasm-edge', summary: 'Elastic-weight-consolidation gate to avoid catastrophic forgetting.', budget: 'M', status: 'beta', tags: ['lifelong', 'ewc'] },
// ── Spatial / graph ──────────────────────────────────────────────────────
{ id: 'spt_pagerank_influence', name: 'PageRank influence', category: 'spt', crate: 'wifi-densepose-wasm-edge', summary: 'Graph-influence ranking on the multistatic mesh.', budget: 'M', status: 'beta', tags: ['graph', 'pagerank'] },
{ id: 'spt_micro_hnsw', name: 'µHNSW vector index', category: 'spt', crate: 'wifi-densepose-wasm-edge', summary: 'Tiny HNSW index for AETHER re-ID embeddings on-device.', budget: 'M', status: 'available', tags: ['hnsw', 'reid'] },
{ id: 'spt_spiking_tracker', name: 'Spiking tracker', category: 'spt', crate: 'wifi-densepose-wasm-edge', summary: 'Spiking-network multi-target tracker.', budget: 'L', status: 'research', tags: ['snn', 'tracker'] },
// ── Temporal / planning ──────────────────────────────────────────────────
{ id: 'tmp_pattern_sequence', name: 'Pattern sequence', category: 'tmp', crate: 'wifi-densepose-wasm-edge', summary: 'Sequence-of-events pattern matcher (e.g. ingress→linger→egress).', budget: 'M', status: 'available', tags: ['temporal', 'pattern'] },
{ id: 'tmp_temporal_logic_guard', name: 'Temporal logic guard', category: 'tmp', crate: 'wifi-densepose-wasm-edge', summary: 'LTL/MTL safety-property guard over event streams.', budget: 'M', status: 'beta', tags: ['ltl', 'safety'] },
{ id: 'tmp_goap_autonomy', name: 'GOAP autonomy', category: 'tmp', crate: 'wifi-densepose-wasm-edge', summary: 'Goal-oriented action planning for adaptive routines.', budget: 'L', status: 'research', tags: ['planning', 'autonomy'] },
// ── AI safety ────────────────────────────────────────────────────────────
{ id: 'ais_prompt_shield', name: 'Prompt shield', category: 'ais', crate: 'wifi-densepose-wasm-edge', summary: 'Edge-side LLM prompt-injection guard for on-device assistants.', budget: 'M', status: 'beta', tags: ['security', 'llm'] },
{ id: 'ais_behavioral_profiler', name: 'Behavioral profiler', category: 'ais', crate: 'wifi-densepose-wasm-edge', summary: 'Anomalous-behaviour profiler (drift in motion habits).', budget: 'M', status: 'beta', tags: ['anomaly', 'behaviour'] },
// ── Quantum-flavoured ────────────────────────────────────────────────────
{ id: 'qnt_quantum_coherence', name: 'Quantum coherence', category: 'qnt', crate: 'wifi-densepose-wasm-edge', summary: 'Coherence diagnostics adapted for quantum-sensor signals.', budget: 'M', status: 'research', tags: ['quantum', 'coherence'] },
{ id: 'qnt_interference_search', name: 'Interference search', category: 'qnt', crate: 'wifi-densepose-wasm-edge', summary: 'Interferometric anomaly search across mesh viewpoints.', budget: 'L', status: 'research', tags: ['quantum', 'interference'] },
// ── Autonomy / mesh ──────────────────────────────────────────────────────
{ id: 'aut_psycho_symbolic', name: 'Psycho-symbolic agent', category: 'aut', crate: 'wifi-densepose-wasm-edge', summary: 'Symbolic-rule + neural-feature hybrid for low-power autonomy loops.', budget: 'L', status: 'research', tags: ['autonomy', 'symbolic'] },
{ id: 'aut_self_healing_mesh', name: 'Self-healing mesh', category: 'aut', crate: 'wifi-densepose-wasm-edge', summary: 'Mesh-topology repair with per-node health gossip.', budget: 'M', status: 'beta', tags: ['mesh', 'health'] },
// ── Exotic / Research (650-series) ───────────────────────────────────────
{ id: 'exo_ghost_hunter', name: 'Ghost hunter (anomaly)', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'Empty-room CSI anomaly detector — impulsive/periodic/drift/random + hidden-presence sub-detector.', events: [650, 651, 652, 653], budget: 'S', status: 'available', tags: ['anomaly', 'paranormal', 'csi'], adr: 'ADR-041', runtime: 'simulated' },
{ id: 'exo_breathing_sync', name: 'Breathing sync', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'Multi-person breathing synchrony analytics.', budget: 'M', status: 'beta', tags: ['breathing', 'sync'] },
{ id: 'exo_dream_stage', name: 'Dream-stage classifier', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'NREM/REM stage classification from breathing + micro-motion.', budget: 'M', status: 'research', tags: ['sleep', 'rem'] },
{ id: 'exo_emotion_detect', name: 'Emotion detector', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'Coarse arousal/valence from breathing + heart-rate variability.', budget: 'M', status: 'research', tags: ['affect'] },
{ id: 'exo_gesture_language', name: 'Gesture language', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'Sign-language pattern recognition.', budget: 'L', status: 'research', tags: ['hci', 'sign'] },
{ id: 'exo_happiness_score', name: 'Happiness score', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'Aggregate well-being score from co-occupancy + activity dynamics.', budget: 'M', status: 'research', tags: ['affect', 'wellbeing'] },
{ id: 'exo_hyperbolic_space', name: 'Hyperbolic space embed', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'Hyperbolic embeddings for hierarchical scene structure.', budget: 'L', status: 'research', tags: ['embedding', 'hyperbolic'] },
{ id: 'exo_music_conductor', name: 'Music conductor', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'Map gesture energy to MIDI tempo/dynamics.', budget: 'M', status: 'research', tags: ['midi', 'art'] },
{ id: 'exo_plant_growth', name: 'Plant-growth tracker', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'Slow CSI drift tracking for greenhouse foliage growth.', budget: 'L', status: 'research', tags: ['agriculture'] },
{ id: 'exo_rain_detect', name: 'Rain detector', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'Outdoor CSI signature of rainfall.', budget: 'M', status: 'research', tags: ['weather'] },
{ id: 'exo_time_crystal', name: 'Time-crystal periodicity', category: 'exo', crate: 'wifi-densepose-wasm-edge', summary: 'Periodicity diagnostics with anti-aliasing harmonics.', budget: 'M', status: 'research', tags: ['periodicity'] },
];
export const CATEGORIES: Record<AppCategory, { label: string; color: string; range: string }> = {
sim: { label: 'Simulators', color: 'oklch(0.78 0.14 70)', range: '—' },
med: { label: 'Medical & Health', color: 'oklch(0.65 0.22 25)', range: '100199' },
sec: { label: 'Security & Safety', color: 'oklch(0.7 0.18 35)', range: '200299' },
bld: { label: 'Smart Building', color: 'oklch(0.78 0.12 195)', range: '300399' },
ret: { label: 'Retail & Hospitality', color: 'oklch(0.78 0.14 145)', range: '400499' },
ind: { label: 'Industrial', color: 'oklch(0.72 0.18 330)', range: '500599' },
sig: { label: 'Signal Processing', color: 'oklch(0.78 0.14 70)', range: '600619' },
lrn: { label: 'Online Learning', color: 'oklch(0.78 0.12 260)', range: '620639' },
spt: { label: 'Spatial / Graph', color: 'oklch(0.7 0.18 100)', range: '640659' },
tmp: { label: 'Temporal / Planning', color: 'oklch(0.7 0.16 50)', range: '660679' },
ais: { label: 'AI Safety', color: 'oklch(0.65 0.22 25)', range: '700719' },
qnt: { label: 'Quantum', color: 'oklch(0.72 0.18 290)', range: '720739' },
aut: { label: 'Autonomy', color: 'oklch(0.78 0.14 145)', range: '740759' },
exo: { label: 'Exotic / Research', color: 'oklch(0.72 0.18 330)', range: '650699' },
};
export interface AppActivation {
id: string;
/** Active in the current session. */
active: boolean;
/** Last activation timestamp. */
lastActivatedAt?: number;
/** Last event count seen (for the cards' counter). */
eventCount?: number;
}
export function defaultActivations(): AppActivation[] {
return APPS.map((a) => ({ id: a.id, active: a.active === true, eventCount: 0 }));
}
export function appsByCategory(): Record<AppCategory, AppManifest[]> {
const map = {} as Record<AppCategory, AppManifest[]>;
for (const c of Object.keys(CATEGORIES) as AppCategory[]) map[c] = [];
for (const a of APPS) map[a.category].push(a);
return map;
}
export function findApp(id: string): AppManifest | undefined {
return APPS.find((a) => a.id === id);
}
export function fuzzyMatch(query: string, app: AppManifest): number {
if (!query) return 1;
const q = query.toLowerCase();
let score = 0;
if (app.id.toLowerCase().includes(q)) score += 3;
if (app.name.toLowerCase().includes(q)) score += 3;
if (app.summary.toLowerCase().includes(q)) score += 1;
if (app.tags?.some((t) => t.toLowerCase().includes(q))) score += 2;
if (app.category === q) score += 5;
return score;
}
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/* IndexedDB-backed persistence for settings and saved scenes.
* Mirrors the mockup's `nvsim/kv` store. */
const DB_NAME = 'nvsim';
const DB_VER = 1;
const STORE = 'kv';
let dbPromise: Promise<IDBDatabase> | null = null;
function openDb(): Promise<IDBDatabase> {
if (dbPromise) return dbPromise;
dbPromise = new Promise<IDBDatabase>((resolve, reject) => {
const req = indexedDB.open(DB_NAME, DB_VER);
req.onupgradeneeded = () => {
const db = req.result;
if (!db.objectStoreNames.contains(STORE)) db.createObjectStore(STORE);
};
req.onsuccess = () => resolve(req.result);
req.onerror = () => reject(req.error);
});
return dbPromise;
}
export async function kvGet<T = unknown>(key: string): Promise<T | undefined> {
const db = await openDb();
return await new Promise<T | undefined>((resolve, reject) => {
const tx = db.transaction(STORE, 'readonly');
const r = tx.objectStore(STORE).get(key);
r.onsuccess = () => resolve(r.result as T | undefined);
r.onerror = () => reject(r.error);
});
}
export async function kvSet(key: string, value: unknown): Promise<void> {
const db = await openDb();
return await new Promise<void>((resolve, reject) => {
const tx = db.transaction(STORE, 'readwrite');
tx.objectStore(STORE).put(value, key);
tx.oncomplete = () => resolve();
tx.onerror = () => reject(tx.error);
});
}
export async function kvDelete(key: string): Promise<void> {
const db = await openDb();
return await new Promise<void>((resolve, reject) => {
const tx = db.transaction(STORE, 'readwrite');
tx.objectStore(STORE).delete(key);
tx.oncomplete = () => resolve();
tx.onerror = () => reject(tx.error);
});
}
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/* Common NvsimClient interface — both WasmClient and WsClient implement it.
* Dashboard binds to this interface and never to a concrete client.
* Aligns with ADR-092 §5.2.
*/
export interface PipelineConfigJson {
digitiser?: {
f_s_hz: number;
f_mod_hz: number;
lp_cutoff_hz?: number;
};
sensor?: {
gamma_fwhm_hz?: number;
t1_s?: number;
t2_s?: number;
t2_star_s?: number;
contrast?: number;
n_spins?: number;
n_centers?: number;
shot_noise_disabled?: boolean;
};
dt_s?: number | null;
}
export interface SceneJson {
dipoles: { position: [number, number, number]; moment: [number, number, number] }[];
loops: {
centre: [number, number, number];
normal: [number, number, number];
radius: number;
current: number;
n_segments: number;
}[];
ferrous: {
position: [number, number, number];
volume: number;
susceptibility: number;
}[];
eddy: unknown[];
sensors: [number, number, number][];
ambient_field: [number, number, number];
}
export interface MagFrameRecord {
magic: number;
version: number;
flags: number;
sensorId: number;
tUs: bigint;
bPt: [number, number, number];
sigmaPt: [number, number, number];
noiseFloorPtSqrtHz: number;
temperatureK: number;
raw: Uint8Array;
}
export interface MagFrameBatch {
frames: MagFrameRecord[];
bytes: Uint8Array;
}
export type NvsimEvent =
| { type: 'log'; level: 'info' | 'warn' | 'err' | 'dbg' | 'ok'; msg: string }
| { type: 'witness'; hex: string }
| { type: 'fps'; value: number }
| { type: 'state'; running: boolean; t: number; framesEmitted: number };
export interface RunOpts { frames?: number }
/** One-shot pipeline run for "what would the sensor recover at this scene?"
* use cases. Doesn't disturb the running pipeline. */
export interface TransientRunResult {
bRecoveredT: [number, number, number];
bMagT: number;
noiseFloorPtSqrtHz: number;
sigmaPt: [number, number, number];
nFrames: number;
witnessHex: string;
}
export interface NvsimClient {
loadScene(scene: SceneJson): Promise<void>;
setConfig(cfg: PipelineConfigJson): Promise<void>;
setSeed(seed: bigint): Promise<void>;
reset(): Promise<void>;
run(opts?: RunOpts): Promise<void>;
pause(): Promise<void>;
step(direction: 'fwd' | 'back', dtMs: number): Promise<void>;
onFrames(cb: (batch: MagFrameBatch) => void): void;
onEvent(cb: (ev: NvsimEvent) => void): void;
generateWitness(samples: number): Promise<Uint8Array>;
verifyWitness(expected: Uint8Array): Promise<{ ok: true } | { ok: false; actual: Uint8Array }>;
exportProofBundle(): Promise<Blob>;
runTransient(scene: SceneJson, config: PipelineConfigJson, seed: bigint, samples: number): Promise<TransientRunResult>;
buildId(): Promise<string>;
close(): Promise<void>;
}
/** Parse one MagFrame from a 60-byte slice. Layout matches `nvsim::frame`. */
export function parseMagFrame(view: DataView, offset: number, raw: Uint8Array): MagFrameRecord {
// v1 layout: magic(u32) | version(u16) | flags(u16) | sensor_id(u16) | _reserved(u16) |
// t_us(u64) | b_pt[3](f32) | sigma_pt[3](f32) | noise_floor_pt_sqrt_hz(f32) |
// temperature_k(f32) — 60 bytes total. All little-endian.
const magic = view.getUint32(offset + 0, true);
const version = view.getUint16(offset + 4, true);
const flags = view.getUint16(offset + 6, true);
const sensorId = view.getUint16(offset + 8, true);
// skip 2 bytes reserved at offset+10
const tUs = view.getBigUint64(offset + 12, true);
const bx = view.getFloat32(offset + 20, true);
const by = view.getFloat32(offset + 24, true);
const bz = view.getFloat32(offset + 28, true);
const sx = view.getFloat32(offset + 32, true);
const sy = view.getFloat32(offset + 36, true);
const sz = view.getFloat32(offset + 40, true);
const noiseFloorPtSqrtHz = view.getFloat32(offset + 44, true);
const temperatureK = view.getFloat32(offset + 48, true);
return {
magic,
version,
flags,
sensorId,
tUs,
bPt: [bx, by, bz],
sigmaPt: [sx, sy, sz],
noiseFloorPtSqrtHz,
temperatureK,
raw: raw.subarray(offset, offset + 60),
};
}
export function parseFrameBatch(bytes: Uint8Array): MagFrameRecord[] {
const frameSize = 60;
const view = new DataView(bytes.buffer, bytes.byteOffset, bytes.byteLength);
const out: MagFrameRecord[] = [];
for (let off = 0; off + frameSize <= bytes.byteLength; off += frameSize) {
out.push(parseMagFrame(view, off, bytes));
}
return out;
}
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/* Default `NvsimClient` implementation. Talks to the Web Worker that
* hosts the nvsim WASM module. ADR-092 §5.4 + §6.3. */
import {
type NvsimClient,
type SceneJson,
type PipelineConfigJson,
type RunOpts,
type MagFrameBatch,
type NvsimEvent,
type TransientRunResult,
parseFrameBatch,
} from './NvsimClient';
interface PendingRequest<T = unknown> {
resolve: (v: T) => void;
reject: (err: Error) => void;
}
export interface WasmBootInfo {
buildVersion: string;
frameMagic: number;
frameBytes: number;
expectedWitnessHex: string;
}
export class WasmClient implements NvsimClient {
private worker: Worker;
private nextId = 1;
private pending = new Map<number, PendingRequest<unknown>>();
private frameSubs = new Set<(b: MagFrameBatch) => void>();
private eventSubs = new Set<(e: NvsimEvent) => void>();
private bootInfo: WasmBootInfo | null = null;
constructor() {
this.worker = new Worker(new URL('./worker.ts', import.meta.url), { type: 'module' });
this.worker.addEventListener('message', (ev) => this.onMessage(ev));
this.worker.addEventListener('error', (e) =>
this.eventSubs.forEach((s) => s({ type: 'log', level: 'err', msg: String(e.message) })),
);
}
private onMessage(ev: MessageEvent): void {
const m = ev.data as { type: string; id?: number; [k: string]: unknown };
if (m.type === 'frames') {
const buf = m.batch as ArrayBuffer;
const bytes = new Uint8Array(buf);
const frames = parseFrameBatch(bytes);
const batch: MagFrameBatch = { frames, bytes };
this.frameSubs.forEach((s) => s(batch));
const fps = m.fps as number;
if (fps > 0) {
this.eventSubs.forEach((s) => s({ type: 'fps', value: fps }));
}
return;
}
if (m.type === 'state') {
this.eventSubs.forEach((s) =>
s({
type: 'state',
running: Boolean(m.running),
t: 0,
framesEmitted: Number(m.framesEmitted ?? 0),
}),
);
return;
}
if (m.type === 'ready') {
return;
}
if (m.type === 'err' && m.id == null) {
this.eventSubs.forEach((s) =>
s({ type: 'log', level: 'err', msg: String(m.msg) }),
);
return;
}
if (typeof m.id === 'number' && this.pending.has(m.id)) {
const p = this.pending.get(m.id)!;
this.pending.delete(m.id);
if (m.type === 'err') p.reject(new Error(String(m.msg)));
else p.resolve(m);
}
}
private rpc<T = unknown>(msg: Record<string, unknown>, transfer: Transferable[] = []): Promise<T> {
const id = this.nextId++;
return new Promise<T>((resolve, reject) => {
this.pending.set(id, { resolve: resolve as (v: unknown) => void, reject });
this.worker.postMessage({ ...msg, id }, transfer);
});
}
async boot(): Promise<WasmBootInfo> {
if (this.bootInfo) return this.bootInfo;
// Pass Vite's resolved BASE_URL so the worker can locate /nvsim-pkg/
// under the same prefix the dashboard is served from (e.g. /RuView/nvsim/
// on GitHub Pages, "/" in dev).
const base = import.meta.env.BASE_URL ?? '/';
const r = await this.rpc<{ buildVersion: string; frameMagic: number; frameBytes: number; expectedWitnessHex: string }>(
{ type: 'boot', base },
);
this.bootInfo = {
buildVersion: r.buildVersion,
frameMagic: r.frameMagic,
frameBytes: r.frameBytes,
expectedWitnessHex: r.expectedWitnessHex,
};
return this.bootInfo;
}
async loadScene(scene: SceneJson): Promise<void> {
await this.rpc({ type: 'setScene', json: JSON.stringify(scene) });
}
async setConfig(cfg: PipelineConfigJson): Promise<void> {
await this.rpc({ type: 'setConfig', json: JSON.stringify(cfg) });
}
async setSeed(seed: bigint): Promise<void> {
await this.rpc({ type: 'setSeed', seed: Number(seed & 0xFFFFFFFFn) });
}
async reset(): Promise<void> {
await this.rpc({ type: 'reset' });
}
async run(_opts?: RunOpts): Promise<void> {
await this.rpc({ type: 'run' });
}
async pause(): Promise<void> {
await this.rpc({ type: 'pause' });
}
async step(_direction: 'fwd' | 'back', _dtMs: number): Promise<void> {
await this.rpc({ type: 'step' });
}
onFrames(cb: (batch: MagFrameBatch) => void): void { this.frameSubs.add(cb); }
onEvent(cb: (ev: NvsimEvent) => void): void { this.eventSubs.add(cb); }
async generateWitness(samples: number): Promise<Uint8Array> {
const r = await this.rpc<{ witness: ArrayBuffer; hex: string }>({ type: 'witnessGenerate', samples });
return new Uint8Array(r.witness);
}
async verifyWitness(expected: Uint8Array): Promise<{ ok: true } | { ok: false; actual: Uint8Array }> {
const buf = expected.slice().buffer;
const r = await this.rpc<{ ok: boolean; actual: ArrayBuffer; actualHex: string }>(
{ type: 'witnessVerify', samples: 256, expected: buf },
[buf],
);
if (r.ok) return { ok: true };
return { ok: false, actual: new Uint8Array(r.actual) };
}
async runTransient(
scene: SceneJson,
config: PipelineConfigJson,
seed: bigint,
samples: number,
): Promise<TransientRunResult> {
const r = await this.rpc<{
bRecoveredT: number[];
bMagT: number;
noiseFloorPtSqrtHz: number;
sigmaPt: number[];
nFrames: number;
witnessHex: string;
}>({
type: 'runTransient',
scene: JSON.stringify(scene),
config: JSON.stringify(config),
seed: Number(seed & 0xFFFFFFFFn),
samples,
});
return {
bRecoveredT: [r.bRecoveredT[0], r.bRecoveredT[1], r.bRecoveredT[2]],
bMagT: r.bMagT,
noiseFloorPtSqrtHz: r.noiseFloorPtSqrtHz,
sigmaPt: [r.sigmaPt[0], r.sigmaPt[1], r.sigmaPt[2]],
nFrames: r.nFrames,
witnessHex: r.witnessHex,
};
}
async exportProofBundle(): Promise<Blob> {
// Bundle = REFERENCE_SCENE_JSON + computed witness hex + version. Wraps
// the same artifacts `Proof::generate` produces natively. ADR-092 §6.1.
const w = await this.generateWitness(256);
const hex = Array.from(w).map((b) => b.toString(16).padStart(2, '0')).join('');
const info = this.bootInfo ?? (await this.boot());
const manifest = JSON.stringify(
{
kind: 'nvsim-proof-bundle',
version: info.buildVersion,
seed: '0x0000002A',
nSamples: 256,
witness: hex,
expected: info.expectedWitnessHex,
ok: hex === info.expectedWitnessHex,
ts: new Date().toISOString(),
},
null,
2,
);
return new Blob([manifest], { type: 'application/json' });
}
async buildId(): Promise<string> {
const r = await this.rpc<{ buildId: string }>({ type: 'buildId' });
return r.buildId;
}
async close(): Promise<void> {
this.worker.terminate();
}
}
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/* WebSocket transport client — talks to a `nvsim-server` Axum host
* (v2/crates/nvsim-server). REST for control plane, binary WebSocket
* for the MagFrame stream. Mirrors the WasmClient interface so the
* dashboard can swap transports at runtime without code changes.
*
* ADR-092 §5.2 / §6.2.
*/
import {
type NvsimClient,
type SceneJson,
type PipelineConfigJson,
type RunOpts,
type MagFrameBatch,
type NvsimEvent,
type TransientRunResult,
parseFrameBatch,
} from './NvsimClient';
interface HealthBody {
nvsim_version: string;
magic: number;
frame_bytes: number;
expected_witness_hex: string;
}
interface VerifyBody {
ok: boolean;
actual_hex: string;
expected_hex: string;
}
interface WitnessBody {
witness_hex: string;
samples: number;
seed_hex: string;
}
export interface WsBootInfo {
buildVersion: string;
frameMagic: number;
frameBytes: number;
expectedWitnessHex: string;
}
/** Convert a base URL (e.g. `http://host:7878`) to its WebSocket peer (`ws://host:7878`). */
function toWsUrl(baseUrl: string): string {
if (baseUrl.startsWith('ws://') || baseUrl.startsWith('wss://')) return baseUrl;
return baseUrl.replace(/^http/, 'ws');
}
export class WsClient implements NvsimClient {
private baseUrl: string;
private wsUrl: string;
private ws: WebSocket | null = null;
private bootInfo: WsBootInfo | null = null;
private frameSubs = new Set<(b: MagFrameBatch) => void>();
private eventSubs = new Set<(e: NvsimEvent) => void>();
private running = false;
private framesEmitted = 0;
private fpsLast = performance.now();
private fpsCount = 0;
/** @param baseUrl e.g. `http://localhost:7878` */
constructor(baseUrl: string) {
this.baseUrl = baseUrl.replace(/\/$/, '');
this.wsUrl = `${toWsUrl(this.baseUrl)}/ws/stream`;
}
private async json<T>(path: string, init?: RequestInit): Promise<T> {
const res = await fetch(`${this.baseUrl}${path}`, {
...init,
headers: { 'content-type': 'application/json', ...(init?.headers ?? {}) },
});
if (!res.ok) throw new Error(`${path}: ${res.status} ${res.statusText}`);
return (await res.json()) as T;
}
async boot(): Promise<WsBootInfo> {
if (this.bootInfo) return this.bootInfo;
const h = await this.json<HealthBody>('/api/health');
this.bootInfo = {
buildVersion: h.nvsim_version,
frameMagic: h.magic,
frameBytes: h.frame_bytes,
expectedWitnessHex: h.expected_witness_hex,
};
this.openWs();
return this.bootInfo;
}
private openWs(): void {
if (this.ws) return;
const ws = new WebSocket(this.wsUrl);
ws.binaryType = 'arraybuffer';
ws.onopen = () => {
this.eventSubs.forEach((s) =>
s({ type: 'log', level: 'ok', msg: `ws/stream connected · ${this.wsUrl}` }),
);
};
ws.onclose = () => {
this.ws = null;
this.eventSubs.forEach((s) =>
s({ type: 'log', level: 'warn', msg: 'ws/stream closed' }),
);
};
ws.onerror = () => {
this.eventSubs.forEach((s) =>
s({ type: 'log', level: 'err', msg: `ws/stream error · ${this.wsUrl}` }),
);
};
ws.onmessage = (ev: MessageEvent) => {
if (!(ev.data instanceof ArrayBuffer)) return;
const bytes = new Uint8Array(ev.data);
const frames = parseFrameBatch(bytes);
if (frames.length === 0) return;
const batch: MagFrameBatch = { frames, bytes };
this.frameSubs.forEach((s) => s(batch));
this.framesEmitted += frames.length;
this.fpsCount += frames.length;
const now = performance.now();
if (now - this.fpsLast >= 1000) {
const fps = (this.fpsCount * 1000) / (now - this.fpsLast);
this.eventSubs.forEach((s) => s({ type: 'fps', value: fps }));
this.fpsLast = now;
this.fpsCount = 0;
}
};
this.ws = ws;
}
async loadScene(scene: SceneJson): Promise<void> {
await this.json('/api/scene', { method: 'PUT', body: JSON.stringify(scene) });
}
async setConfig(cfg: PipelineConfigJson): Promise<void> {
await this.json('/api/config', { method: 'PUT', body: JSON.stringify(cfg) });
}
async setSeed(seed: bigint): Promise<void> {
await this.json('/api/seed', {
method: 'PUT',
body: JSON.stringify({ seed_hex: '0x' + seed.toString(16).toUpperCase().padStart(16, '0') }),
});
}
async reset(): Promise<void> {
await this.json('/api/reset', { method: 'POST' });
this.running = false;
this.framesEmitted = 0;
this.eventSubs.forEach((s) => s({ type: 'state', running: false, t: 0, framesEmitted: 0 }));
}
async run(_opts?: RunOpts): Promise<void> {
await this.json('/api/run', { method: 'POST' });
this.running = true;
this.eventSubs.forEach((s) =>
s({ type: 'state', running: true, t: 0, framesEmitted: this.framesEmitted }),
);
}
async pause(): Promise<void> {
await this.json('/api/pause', { method: 'POST' });
this.running = false;
this.eventSubs.forEach((s) =>
s({ type: 'state', running: false, t: 0, framesEmitted: this.framesEmitted }),
);
}
async step(direction: 'fwd' | 'back', dtMs: number): Promise<void> {
await this.json('/api/step', { method: 'POST', body: JSON.stringify({ direction, dt_ms: dtMs }) });
}
onFrames(cb: (b: MagFrameBatch) => void): void { this.frameSubs.add(cb); }
onEvent(cb: (e: NvsimEvent) => void): void { this.eventSubs.add(cb); }
async generateWitness(samples: number): Promise<Uint8Array> {
const r = await this.json<WitnessBody>('/api/witness/generate', {
method: 'POST',
body: JSON.stringify({ samples }),
});
const out = new Uint8Array(32);
for (let i = 0; i < 32; i++) out[i] = parseInt(r.witness_hex.slice(i * 2, i * 2 + 2), 16);
return out;
}
async verifyWitness(expected: Uint8Array): Promise<{ ok: true } | { ok: false; actual: Uint8Array }> {
const expected_hex = Array.from(expected).map((b) => b.toString(16).padStart(2, '0')).join('');
const r = await this.json<VerifyBody>('/api/witness/verify', {
method: 'POST',
body: JSON.stringify({ expected_hex, samples: 256 }),
});
if (r.ok) return { ok: true };
const actual = new Uint8Array(32);
for (let i = 0; i < 32; i++) actual[i] = parseInt(r.actual_hex.slice(i * 2, i * 2 + 2), 16);
return { ok: false, actual };
}
async exportProofBundle(): Promise<Blob> {
const text = await fetch(`${this.baseUrl}/api/export-proof`, { method: 'POST' }).then((r) => r.text());
return new Blob([text], { type: 'application/json' });
}
async runTransient(
scene: SceneJson,
config: PipelineConfigJson,
_seed: bigint,
samples: number,
): Promise<TransientRunResult> {
// Server doesn't expose a transient route in V1 — the dashboard's
// Ghost Murmur sandbox falls back to the WASM client when transport
// is WS. Stub here returns a zero-result so the caller can detect.
void scene; void config; void samples;
return {
bRecoveredT: [0, 0, 0],
bMagT: 0,
noiseFloorPtSqrtHz: 0,
sigmaPt: [0, 0, 0],
nFrames: 0,
witnessHex: '(transient route not available in WS transport — V1 limitation)',
};
}
async buildId(): Promise<string> {
const info = this.bootInfo ?? (await this.boot());
return `nvsim@${info.buildVersion} (ws)`;
}
async close(): Promise<void> {
this.ws?.close();
this.ws = null;
}
}
-284
View File
@@ -1,284 +0,0 @@
/* Web Worker hosting the nvsim WASM module.
*
* Boots `/nvsim-pkg/nvsim.js`, instantiates `WasmPipeline`, then
* postMessage-RPCs with the main thread. Frame batches are returned
* as `ArrayBuffer` transfers so we don't pay a copy on the hot path.
*
* ADR-092 §5.4.
*/
/// <reference lib="WebWorker" />
const ws = self as unknown as DedicatedWorkerGlobalScope;
interface WasmPipelineApi {
run(n: number): Uint8Array;
runWithWitness(n: number): { frames: Uint8Array; witness: Uint8Array; frameCount: number };
free?: () => void;
}
type WasmPipelineCtor = new (sceneJson: string, configJson: string, seed: number) => WasmPipelineApi;
type WasmPipelineStatic = WasmPipelineCtor & {
buildVersion(): string;
frameMagic(): number;
frameBytes(): number;
};
interface TransientResult {
bRecoveredT: Float64Array;
bMagT: number;
noiseFloorPtSqrtHz: number;
sigmaPt: Float64Array;
nFrames: number;
witnessHex: string;
}
interface NvsimPkg {
default: (input?: unknown) => Promise<unknown>;
WasmPipeline: WasmPipelineStatic;
referenceSceneJson: () => string;
expectedReferenceWitnessHex: () => string;
hexWitness: (b: Uint8Array) => string;
referenceWitness: () => Uint8Array;
runTransient: (sceneJson: string, configJson: string, seed: number, nSamples: number) => TransientResult;
}
let _WasmPipeline!: WasmPipelineStatic;
let referenceSceneJson!: () => string;
let expectedReferenceWitnessHex!: () => string;
let hexWitness!: (b: Uint8Array) => string;
let referenceWitness!: () => Uint8Array;
let runTransient!: (sceneJson: string, configJson: string, seed: number, nSamples: number) => TransientResult;
async function loadPkg(base: string): Promise<void> {
// `base` is the dashboard's BASE_URL injected by Vite, prefixed with the
// origin so we get an absolute URL the dynamic import can resolve. In dev
// this is "/", in prod under GitHub Pages it's "/RuView/nvsim/".
const absoluteBase = new URL(base, ws.location.origin).href;
const pkgUrl = new URL('nvsim-pkg/nvsim.js', absoluteBase).href;
const pkg = (await import(/* @vite-ignore */ pkgUrl)) as NvsimPkg;
await pkg.default();
_WasmPipeline = pkg.WasmPipeline;
referenceSceneJson = pkg.referenceSceneJson;
expectedReferenceWitnessHex = pkg.expectedReferenceWitnessHex;
hexWitness = pkg.hexWitness;
referenceWitness = pkg.referenceWitness;
runTransient = pkg.runTransient;
}
let pipeline: WasmPipelineApi | null = null;
let configJson = '';
let sceneJson = '';
let seed = BigInt(0xCAFEBABE);
let running = false;
let timer: number | null = null;
let framesEmitted = 0;
let tStart = 0;
function ensureRebuild(): void {
if (!sceneJson) sceneJson = referenceSceneJson();
if (!configJson) {
configJson = JSON.stringify({
digitiser: { f_s_hz: 10000, f_mod_hz: 1000 },
sensor: {
gamma_fwhm_hz: 1.0e6,
t1_s: 5.0e-3,
t2_s: 1.0e-6,
t2_star_s: 200e-9,
contrast: 0.03,
n_spins: 1.0e12,
shot_noise_disabled: false,
},
dt_s: null,
});
}
pipeline?.free?.();
pipeline = new _WasmPipeline(sceneJson, configJson, Number(seed & 0xFFFFFFFFn));
}
function post(msg: unknown, transfer: Transferable[] = []): void {
// postMessage Transferable overload: pass transfer list as 2nd arg
(ws.postMessage as (msg: unknown, t: Transferable[]) => void)(msg, transfer);
}
function startTimer(): void {
if (timer !== null) return;
tStart = performance.now();
framesEmitted = 0;
const tick = (): void => {
if (!running || !pipeline) return;
// Per-tick: simulate 32 frames; push as one batch.
const n = 32;
const bytes = pipeline.run(n);
framesEmitted += n;
const elapsed = (performance.now() - tStart) / 1000;
const fps = elapsed > 0 ? framesEmitted / elapsed : 0;
post(
{ type: 'frames', batch: bytes.buffer, count: n, fps, framesEmitted },
[bytes.buffer],
);
timer = ws.setTimeout(tick, 16);
};
timer = ws.setTimeout(tick, 0);
}
function stopTimer(): void {
if (timer !== null) {
ws.clearTimeout(timer);
timer = null;
}
}
ws.addEventListener('message', async (ev: MessageEvent): Promise<void> => {
const m = ev.data as { type: string; id?: number; [k: string]: unknown };
try {
switch (m.type) {
case 'boot': {
const base = (m.base as string | undefined) ?? '/';
await loadPkg(base);
ensureRebuild();
post({
type: 'booted',
id: m.id,
buildVersion: _WasmPipeline.buildVersion(),
frameMagic: _WasmPipeline.frameMagic(),
frameBytes: _WasmPipeline.frameBytes(),
expectedWitnessHex: expectedReferenceWitnessHex(),
});
break;
}
case 'setScene': {
sceneJson = m.json as string;
ensureRebuild();
post({ type: 'ack', id: m.id });
break;
}
case 'setConfig': {
configJson = m.json as string;
ensureRebuild();
post({ type: 'ack', id: m.id });
break;
}
case 'setSeed': {
seed = BigInt(m.seed as string | number | bigint);
ensureRebuild();
post({ type: 'ack', id: m.id });
break;
}
case 'reset': {
stopTimer();
running = false;
ensureRebuild();
framesEmitted = 0;
post({ type: 'ack', id: m.id });
post({ type: 'state', running: false, framesEmitted });
break;
}
case 'run': {
if (!pipeline) ensureRebuild();
running = true;
startTimer();
post({ type: 'ack', id: m.id });
post({ type: 'state', running: true, framesEmitted });
break;
}
case 'pause': {
running = false;
stopTimer();
post({ type: 'ack', id: m.id });
post({ type: 'state', running: false, framesEmitted });
break;
}
case 'step': {
if (!pipeline) ensureRebuild();
const bytes = pipeline!.run(1);
framesEmitted += 1;
post(
{ type: 'frames', batch: bytes.buffer, count: 1, fps: 0, framesEmitted },
[bytes.buffer],
);
post({ type: 'ack', id: m.id });
break;
}
case 'witnessGenerate': {
if (!pipeline) ensureRebuild();
const samples = (m.samples as number) ?? 256;
const result = pipeline!.runWithWitness(samples) as {
frames: Uint8Array;
witness: Uint8Array;
frameCount: number;
};
const hex = hexWitness(result.witness);
post(
{
type: 'witness',
id: m.id,
witness: result.witness.buffer,
hex,
frameCount: result.frameCount,
},
[result.witness.buffer],
);
break;
}
case 'witnessVerify': {
// Verify always runs the *canonical* reference scene at seed=42, N=256
// so the witness matches Proof::EXPECTED_WITNESS_HEX byte-for-byte.
// The user's working scene/config/seed don't affect the witness.
const expectedBuf = m.expected as ArrayBuffer;
const expected = new Uint8Array(expectedBuf);
const actual = referenceWitness();
let ok = actual.length === expected.length;
if (ok) {
for (let i = 0; i < expected.length; i++) {
if (actual[i] !== expected[i]) { ok = false; break; }
}
}
const actualBuf = actual.slice().buffer;
post(
{
type: 'verify',
id: m.id,
ok,
actual: actualBuf,
actualHex: hexWitness(actual),
},
[actualBuf],
);
break;
}
case 'runTransient': {
const sceneJson = m.scene as string;
const configJson = m.config as string;
const seed = (m.seed as number) ?? 0;
const samples = (m.samples as number) ?? 64;
const r = runTransient(sceneJson, configJson, seed, samples);
post({
type: 'transient',
id: m.id,
bRecoveredT: Array.from(r.bRecoveredT),
bMagT: r.bMagT,
noiseFloorPtSqrtHz: r.noiseFloorPtSqrtHz,
sigmaPt: Array.from(r.sigmaPt),
nFrames: r.nFrames,
witnessHex: r.witnessHex,
});
break;
}
case 'buildId': {
post({
type: 'buildId',
id: m.id,
buildId: `nvsim@${_WasmPipeline.buildVersion()}`,
});
break;
}
default:
post({ type: 'err', id: m.id, msg: `unknown op ${m.type}` });
}
} catch (e) {
post({ type: 'err', id: m.id, msg: (e as Error).message ?? String(e) });
}
});
post({ type: 'ready' });
-56
View File
@@ -1,56 +0,0 @@
/* axe-core accessibility smoke against the built dashboard.
* Closes ADR-092 §11.5 — formal axe scan.
*
* Runs against `npm run preview` (Vite preview server). Validates each
* primary view (home / scene / apps / inspector / witness / ghost-murmur)
* and asserts 0 critical/serious violations.
*/
import { test, expect } from '@playwright/test';
import AxeBuilder from '@axe-core/playwright';
const VIEWS = ['home', 'scene', 'apps', 'inspector', 'witness', 'ghost-murmur'] as const;
test.describe('axe-core a11y smoke', () => {
for (const view of VIEWS) {
test(`view: ${view}`, async ({ page }) => {
await page.goto('/');
// Dismiss the welcome modal if it auto-shows.
await page.evaluate(() => {
const sr = (document.querySelector('nv-app') as HTMLElement & { shadowRoot: ShadowRoot }).shadowRoot;
const ob = sr.querySelector('nv-onboarding') as HTMLElement | null;
if (ob?.hasAttribute('open')) {
(ob.shadowRoot?.querySelector('.skip') as HTMLElement | null)?.click();
}
});
// Navigate to the view via the rail button (except for home which is default).
if (view !== 'home') {
await page.evaluate((v) => {
const sr = (document.querySelector('nv-app') as HTMLElement & { shadowRoot: ShadowRoot }).shadowRoot;
const rail = sr.querySelector('nv-rail') as HTMLElement & { shadowRoot: ShadowRoot };
const btn = rail.shadowRoot.querySelector(`button[data-id=${v}-btn]`) as HTMLElement | null;
btn?.click();
}, view);
await page.waitForTimeout(300);
}
const results = await new AxeBuilder({ page })
.options({ runOnly: ['wcag2a', 'wcag2aa'] })
.analyze();
const critical = results.violations.filter((v) => v.impact === 'critical');
const serious = results.violations.filter((v) => v.impact === 'serious');
// Logging the violation summary makes CI failures readable.
if (critical.length || serious.length) {
for (const v of [...critical, ...serious]) {
console.error(`[${view}] ${v.impact} · ${v.id} · ${v.help}`);
for (const node of v.nodes) console.error(` ${node.target.join(' >> ')}`);
}
}
expect(critical.length, 'no critical violations').toBe(0);
expect(serious.length, 'no serious violations').toBe(0);
});
}
});
-25
View File
@@ -1,25 +0,0 @@
{
"compilerOptions": {
"target": "ES2022",
"module": "ESNext",
"moduleResolution": "Bundler",
"lib": ["ES2022", "DOM", "DOM.Iterable", "WebWorker"],
"strict": true,
"noUnusedLocals": false,
"noUnusedParameters": false,
"noImplicitOverride": false,
"noFallthroughCasesInSwitch": true,
"exactOptionalPropertyTypes": false,
"useDefineForClassFields": false,
"experimentalDecorators": true,
"skipLibCheck": true,
"resolveJsonModule": true,
"isolatedModules": true,
"esModuleInterop": true,
"allowSyntheticDefaultImports": true,
"forceConsistentCasingInFileNames": true,
"types": ["vite/client"]
},
"include": ["src/**/*", "vite.config.ts"],
"exclude": ["node_modules", "dist", "public/nvsim-pkg"]
}
-80
View File
@@ -1,80 +0,0 @@
import { defineConfig } from 'vite';
import { VitePWA } from 'vite-plugin-pwa';
// Dashboard for ADR-092 — Vite + Lit + WASM in a Web Worker.
// Hosted at /RuView/nvsim/ on GitHub Pages; base path is configurable
// via NVSIM_BASE so local dev (npm run dev) stays at "/".
const base = (globalThis as { process?: { env?: { NVSIM_BASE?: string } } }).process?.env?.NVSIM_BASE ?? '/';
export default defineConfig({
base,
publicDir: 'public',
worker: {
format: 'es',
},
plugins: [
VitePWA({
registerType: 'autoUpdate',
includeAssets: [
'nvsim-pkg/nvsim.js',
'nvsim-pkg/nvsim_bg.wasm',
],
manifest: {
name: 'nvsim — NV-Diamond Magnetometer Simulator',
short_name: 'nvsim',
description: 'Deterministic forward simulator for NV-diamond magnetometry. WASM-backed CW-ODMR pipeline with witness-grade SHA-256 proofs.',
theme_color: '#0d1117',
background_color: '#0d1117',
display: 'standalone',
scope: base,
start_url: base,
icons: [
{
src: 'icon-192.svg',
sizes: '192x192',
type: 'image/svg+xml',
purpose: 'any maskable',
},
{
src: 'icon-512.svg',
sizes: '512x512',
type: 'image/svg+xml',
purpose: 'any maskable',
},
],
},
workbox: {
globPatterns: ['**/*.{js,css,html,svg,wasm,woff,woff2}'],
// WASM is large; bump the precache size budget so workbox doesn't
// skip nvsim_bg.wasm.
maximumFileSizeToCacheInBytes: 8 * 1024 * 1024,
},
devOptions: {
enabled: false,
},
}),
],
build: {
target: 'es2022',
sourcemap: true,
rollupOptions: {
output: {
manualChunks: {
lit: ['lit'],
signals: ['@preact/signals-core'],
},
},
},
},
server: {
port: 5173,
strictPort: true,
fs: {
allow: ['..', '.'],
},
headers: {
'Cross-Origin-Opener-Policy': 'same-origin',
'Cross-Origin-Embedder-Policy': 'require-corp',
},
},
});
-3
View File
@@ -1,3 +0,0 @@
{"type": "metadata", "name": "ruview-clone-traffic-history", "version": "1.0.0", "schema": "ruvector.rvf.jsonl/v1", "format": "github-traffic-snapshots", "repo": "ruvnet/RuView", "source": "GitHub Traffic API /repos/{repo}/traffic/{clones,views}", "policy": "GitHub retains only 14 days server-side; this file is the long-term record.", "segments": ["metadata", "clone_snapshot", "view_snapshot"], "created_at": "2026-05-19T23:16:22Z", "custom": {"cadence": "twice monthly (1st and 15th, ~14-day intervals)", "idempotency_key": "timestamp (per-day records de-duplicate across overlapping snapshot windows)"}}
{"type": "clone_snapshot", "fetched_at": "2026-05-19T23:16:22Z", "window_count": 27887, "window_uniques": 6611, "per_day": [{"timestamp": "2026-05-05T00:00:00Z", "count": 620, "uniques": 218}, {"timestamp": "2026-05-06T00:00:00Z", "count": 477, "uniques": 232}, {"timestamp": "2026-05-07T00:00:00Z", "count": 685, "uniques": 268}, {"timestamp": "2026-05-08T00:00:00Z", "count": 703, "uniques": 276}, {"timestamp": "2026-05-09T00:00:00Z", "count": 352, "uniques": 184}, {"timestamp": "2026-05-10T00:00:00Z", "count": 205, "uniques": 151}, {"timestamp": "2026-05-11T00:00:00Z", "count": 1160, "uniques": 234}, {"timestamp": "2026-05-12T00:00:00Z", "count": 599, "uniques": 207}, {"timestamp": "2026-05-13T00:00:00Z", "count": 5141, "uniques": 1152}, {"timestamp": "2026-05-14T00:00:00Z", "count": 3420, "uniques": 972}, {"timestamp": "2026-05-15T00:00:00Z", "count": 1974, "uniques": 764}, {"timestamp": "2026-05-16T00:00:00Z", "count": 2917, "uniques": 617}, {"timestamp": "2026-05-17T00:00:00Z", "count": 6690, "uniques": 1169}, {"timestamp": "2026-05-18T00:00:00Z", "count": 2944, "uniques": 625}]}
{"type": "view_snapshot", "fetched_at": "2026-05-19T23:16:22Z", "window_count": 162314, "window_uniques": 75464, "per_day": [{"timestamp": "2026-05-05T00:00:00Z", "count": 5540, "uniques": 2690}, {"timestamp": "2026-05-06T00:00:00Z", "count": 5111, "uniques": 2393}, {"timestamp": "2026-05-07T00:00:00Z", "count": 5585, "uniques": 2708}, {"timestamp": "2026-05-08T00:00:00Z", "count": 7004, "uniques": 3261}, {"timestamp": "2026-05-09T00:00:00Z", "count": 5395, "uniques": 2531}, {"timestamp": "2026-05-10T00:00:00Z", "count": 4761, "uniques": 2219}, {"timestamp": "2026-05-11T00:00:00Z", "count": 4275, "uniques": 2044}, {"timestamp": "2026-05-12T00:00:00Z", "count": 3466, "uniques": 1688}, {"timestamp": "2026-05-13T00:00:00Z", "count": 13561, "uniques": 8473}, {"timestamp": "2026-05-14T00:00:00Z", "count": 21867, "uniques": 12527}, {"timestamp": "2026-05-15T00:00:00Z", "count": 26182, "uniques": 14609}, {"timestamp": "2026-05-16T00:00:00Z", "count": 17406, "uniques": 8868}, {"timestamp": "2026-05-17T00:00:00Z", "count": 28444, "uniques": 14541}, {"timestamp": "2026-05-18T00:00:00Z", "count": 13717, "uniques": 7819}]}
+3 -3
View File
@@ -10,16 +10,16 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
&& rm -rf /var/lib/apt/lists/*
# Install Python dependencies
COPY archive/v1/requirements-lock.txt /app/requirements.txt
COPY v1/requirements-lock.txt /app/requirements.txt
RUN pip install --no-cache-dir -r requirements.txt \
&& pip install --no-cache-dir websockets uvicorn fastapi
# Copy application code
COPY archive/v1/ /app/v1/
COPY v1/ /app/v1/
COPY ui/ /app/ui/
# Copy sensing modules
COPY archive/v1/src/sensing/ /app/v1/src/sensing/
COPY v1/src/sensing/ /app/v1/src/sensing/
EXPOSE 8765
EXPOSE 8080
+6 -33
View File
@@ -8,8 +8,8 @@ FROM rust:1.85-bookworm AS builder
WORKDIR /build
# Copy workspace files
COPY v2/Cargo.toml v2/Cargo.lock ./
COPY v2/crates/ ./crates/
COPY rust-port/wifi-densepose-rs/Cargo.toml rust-port/wifi-densepose-rs/Cargo.lock ./
COPY rust-port/wifi-densepose-rs/crates/ ./crates/
# Copy vendored RuVector crates
COPY vendor/ruvector/ /build/vendor/ruvector/
@@ -33,25 +33,6 @@ COPY --from=builder /build/target/release/sensing-server /app/sensing-server
# Copy UI assets
COPY ui/ /app/ui/
# Sanity-check the assets the runtime actually serves (regression guard for
# #520/#514 — the published image must include the observatory and pose-fusion
# dashboards, not just the legacy `index.html` set). Build fails if any of
# these are missing, so a stale image can't be silently pushed.
RUN set -e; \
for f in /app/ui/index.html /app/ui/observatory.html /app/ui/pose-fusion.html /app/ui/viz.html; do \
test -f "$f" || { echo "FATAL: missing UI asset $f"; exit 1; }; \
done; \
for d in /app/ui/observatory /app/ui/pose-fusion /app/ui/components /app/ui/services; do \
test -d "$d" || { echo "FATAL: missing UI directory $d"; exit 1; }; \
done; \
test -x /app/sensing-server || { echo "FATAL: /app/sensing-server is not executable"; exit 1; }; \
echo "image assets OK"
# Optional bearer-token auth on /api/v1/*: leave unset for LAN-mode (default),
# set to enforce `Authorization: Bearer <token>` (see bearer_auth module, #443).
# docker run -e RUVIEW_API_TOKEN=$(openssl rand -hex 32) ...
ENV RUVIEW_API_TOKEN=
# HTTP API
EXPOSE 3000
# WebSocket
@@ -69,15 +50,7 @@ ENV RUST_LOG=info
# Override at runtime: docker run -e CSI_SOURCE=esp32 ...
ENV CSI_SOURCE=auto
# MODELS_DIR controls where the server scans for .rvf model files.
# Mount a host directory here to make models visible to the API:
# docker run -v /path/to/models:/app/models -e MODELS_DIR=/app/models ...
ENV MODELS_DIR=data/models
COPY docker/docker-entrypoint.sh /app/docker-entrypoint.sh
# Exec-form ENTRYPOINT so Docker appends user arguments correctly.
# Pass flags directly: docker run <image> --source esp32 --tick-ms 500
# Or use env vars: docker run -e CSI_SOURCE=esp32 <image>
ENTRYPOINT ["/app/docker-entrypoint.sh"]
CMD []
ENTRYPOINT ["/bin/sh", "-c"]
# Shell-form CMD allows $CSI_SOURCE to be substituted at container start.
# The ENV default above (CSI_SOURCE=auto) applies when the variable is unset.
CMD ["/app/sensing-server --source ${CSI_SOURCE} --tick-ms 100 --ui-path /app/ui --http-port 3000 --ws-port 3001"]
+3 -19
View File
@@ -9,18 +9,7 @@ services:
ports:
- "3000:3000" # REST API
- "3001:3001" # WebSocket
# ESP32 UDP. On Linux/macOS this works with multiple ESP32 nodes out of
# the box. On Docker Desktop for Windows, multi-source UDP is collapsed
# to one source IP at the WSL/Hyper-V boundary, so all-but-one node's
# frames are silently dropped (issue #374, #386).
#
# Windows workaround: change this to "5006:5005/udp" and run the host
# relay so every datagram arrives from the same loopback source:
#
# python scripts/udp-relay.py --listen-port 5005 --forward-port 5006
#
# See docs/TROUBLESHOOTING.md §9 for details.
- "5005:5005/udp"
- "5005:5005/udp" # ESP32 UDP
environment:
- RUST_LOG=info
# CSI_SOURCE controls the data source for the sensing server.
@@ -29,13 +18,8 @@ services:
# wifi — use host Wi-Fi RSSI/scan data (Windows netsh)
# simulated — generate synthetic CSI data (no hardware required)
- CSI_SOURCE=${CSI_SOURCE:-auto}
# MODELS_DIR controls where the server scans for .rvf model files.
# Mount a host directory and set this to make models visible:
# volumes: ["/path/to/models:/app/models"]
# MODELS_DIR=/app/models
- MODELS_DIR=${MODELS_DIR:-data/models}
# No explicit command needed — docker-entrypoint.sh uses CSI_SOURCE.
# Override with: command: ["--source", "esp32", "--tick-ms", "500"]
# command is passed as arguments to ENTRYPOINT (/bin/sh -c), so $CSI_SOURCE is expanded by the shell.
command: ["/app/sensing-server --source ${CSI_SOURCE:-auto} --tick-ms 100 --ui-path /app/ui --http-port 3000 --ws-port 3001"]
python-sensing:
build:
-32
View File
@@ -1,32 +0,0 @@
#!/bin/sh
# Docker entrypoint for WiFi-DensePose sensing server.
#
# Supports two usage patterns:
#
# 1. No arguments — use defaults from environment:
# docker run -e CSI_SOURCE=esp32 ruvnet/wifi-densepose:latest
#
# 2. Pass CLI flags directly:
# docker run ruvnet/wifi-densepose:latest --source esp32 --tick-ms 500
# docker run ruvnet/wifi-densepose:latest --model /app/models/my.rvf
#
# Environment variables:
# CSI_SOURCE — data source: auto (default), esp32, wifi, simulated
# MODELS_DIR — directory to scan for .rvf model files (default: data/models)
set -e
# If the first argument looks like a flag (starts with -), prepend the
# server binary so users can just pass flags:
# docker run <image> --source esp32 --tick-ms 500
if [ "${1#-}" != "$1" ] || [ -z "$1" ]; then
set -- /app/sensing-server \
--source "${CSI_SOURCE:-auto}" \
--tick-ms 100 \
--ui-path /app/ui \
--http-port 3000 \
--ws-port 3001 \
--bind-addr 0.0.0.0 \
"$@"
fi
exec "$@"
-183
View File
@@ -1,183 +0,0 @@
# RuView Troubleshooting Guide
Known issues and fixes from the rebase-to-upstream branch (upstream #301).
---
## 1. Node not appearing in /api/v1/nodes
**Symptom:** ESP32-S3 node associates with WiFi, LED blinks, but no CSI frames arrive at the server. Node missing from `/api/v1/spatial/nodes`.
**Root cause:** After USB flash, the node enters a limping state where WiFi associates but the UDP CSI sender silently fails. The SoftAP + mDNS stack initializes but the CSI callback never fires.
**Fix:** Power cycle the node (unplug USB, wait 2s, replug). If that doesn't work, send DTR reset via serial: `python -m serial.tools.miniterm --dtr 0 COMx 115200` then Ctrl+C.
**Prevention:** Firmware 0.8.0+ includes a watchdog that detects zero CSI frames for 30s and triggers a software reset automatically. Nodes 1-10 are still on old firmware and lack this recovery (OTA-vs-BLE chicken-and-egg; see issue #6).
---
## 2. Person count stuck at 1
**Symptom:** `estimated_persons` always returns 1 regardless of how many people are in the room.
**Root cause (ADR-044):** Eight converging bugs:
1. `score_to_person_count` had a ceiling of 3
2. `fuse_multi_node_features` used `.max()` instead of sum — N identical readings collapsed to 1
3. Four `.max(1)` clamps forced minimum count to 1 even when absent
4. `field_model.estimate_occupancy` capped at `.min(3)`
5. Normalization saturated (dividing by hardcoded thresholds instead of adaptive p95)
6. No field model auto-calibration — eigenvalue path never activated
7. Vitals-path clamps were asymmetric
8. Tomography produced one blob (CC=1) so dedup gave wrong count
**Fix applied (Waves 1-3):**
- Wave 1 (`9cc5f604`): ceiling 3→10, `.max()` → sum/3 aggregation, softened `.max(1)` clamps
- Wave 2 (`306f1262`): RollingP95 adaptive normalization, field_model 30s auto-calibration, vitals clamp symmetry
- Wave 3 (`c3df375a`+`0d4bfb09`+`6ac70ddf`): CC flood-fill infrastructure, lambda 0.1→5.0, threshold 0.01→0.15, CC>1 gate
**Current state:** `estimated_persons` = 6-8 for 5 bodies (3 humans + 2 dogs). Overcounts because the sum/3 dedup factor is a guess. Tomography still produces one blob (CC=1), so the CC path doesn't activate. Runtime-configurable lambda would help tune without redeployment.
---
## 3. Heart rate / breathing rate jitter
**Symptom:** HR and BR readings jump wildly between frames. BR CV was 23.3%, HR CV was 12.9%.
**Root cause (ADR-045):** 11 ESP32 nodes each compute independent vitals. The server used last-write-wins — whichever node's UDP packet arrived last overwrote the global vitals. At ~20 fps per node, this meant vitals randomly interleaved from different vantage points every 50ms.
**Fix applied (`46fbc061`):** Best-node selection. Each node's vitals are smoothed independently via median filter + EMA. The node with the highest combined `breathing_confidence + heartbeat_confidence` is selected as authoritative. Result: BR CV 23.3% → 12.6%, HR CV 12.9% → 11.6%.
**Known limitation:** The `wifi-densepose-vitals` crate has a superior 4-stage pipeline (bandpass → Hilbert envelope → autocorrelation → peak detection) but is not yet wired into the sensing server. The current `VitalSignDetector` uses a simpler FFT approach with 4 BPM frequency resolution.
---
## 4. Signal quality shows 50% always
**Symptom:** The dashboard signal quality gauge was always stuck at ~50%.
**Root cause:** Signal quality was a hardcoded placeholder value, not derived from actual CSI data.
**Fix applied:** ADR-044 Wave 2 replaced the fake gauge with RollingP95 adaptive normalization. The UI honesty pass (`b2070ab4`) added beta tags to unvalidated metrics, replaced the fake gauge with per-node pill indicators, and surfaced the actual per-node signal data.
---
## 5. Dashboard freezes every 2-4 seconds
**Symptom:** The spatial view and dashboard would freeze, then reconnect, creating a visible stutter every 2-4 seconds.
**Root cause:** The WebSocket broadcast channel's `recv()` returned `Err(Lagged)` when a client fell behind. The server treated this as a fatal error and dropped the connection. The client immediately reconnected, creating a connect/disconnect cycle.
**Fix applied (`581daf4f`):**
- Server: `Lagged` error → `continue` (skip missed frames instead of disconnecting)
- Server: 30s ping/pong keepalive to prevent Caddy proxy idle timeouts
- Result: 154 frames over 8 seconds sustained, zero disconnects
---
## 6. OTA update crashes at 59%
**Symptom:** OTA firmware update via `/api/v1/firmware/download` progresses to ~59% then the node crashes with `StoreProhibited` on Core 1.
**Root cause:** NimBLE BLE advertising/scanning runs on Core 1. During OTA, the HTTP client also runs on Core 1. BLE and OTA compete for stack space, and the BLE scan callback triggers a memory access violation during the OTA write.
**Fix:**
1. Stop NimBLE advertising and scanning before calling `esp_https_ota_begin()`
2. Increase httpd stack from 4KB to 8KB (`CONFIG_HTTPD_MAX_REQ_HDR_LEN` and task stack)
3. Resume BLE after OTA completes or fails
**Caveat:** Nodes running old firmware (1-10) can't receive this fix via OTA because the crash happens during the OTA itself. These nodes must be USB-flashed with firmware 0.8.0+ first, then future OTA updates will work. Node 11 was USB-flashed with the watchdog firmware and can receive OTA updates.
---
## 7. Can't SSH to babycube via LAN
**Symptom:** `ssh thyhack@10.0.10.10` hangs at banner exchange. Ping works, TCP port 22 is open, but SSH never completes the handshake.
**Workaround:** Use the Tailscale IP instead:
```
ssh thyhack@100.90.238.87
```
**Not the cause:** CrowdSec. The 10.0.0.0/8 range is whitelisted in CrowdSec (`cscli decisions list` shows no active decisions for LAN IPs). The banner hang occurs before any authentication attempt, so it's not a firewall block.
**Suspected cause:** Unknown. Possibly MTU/fragmentation issue on the LAN segment, or a network stack bug in the babycube's NIC driver. The Tailscale overlay network (WireGuard UDP) bypasses whatever is causing the LAN TCP issue.
---
## 8. Right USB-C port doesn't work on some ESP32-S3 boards
**Symptom:** Plugging into the right USB-C port (when facing the board with USB-C toward you) shows no serial device on the host.
**Fix:** Use the left USB-C port. On most ESP32-S3-DevKitC boards, the left port is the USB-to-UART bridge (CP2102/CH340) used for flashing and serial monitor. The right port is the native USB (USB-JTAG) which requires different drivers and isn't used by the RuView firmware.
---
## 9. Docker Desktop on Windows drops UDP from multiple ESP32 nodes
**Symptom:** Two or more ESP32 nodes are flashed, provisioned, and visibly transmit on the network — `tcpdump`/Wireshark on the Windows host shows datagrams from every node — but inside the Docker container only one source IP arrives. `/api/v1/sensing/latest` shows a single node and the live UI freezes or only tracks one body. Reported in #374 (4-node bench) and reproduced in #386 (6-node demo, RuView v0.7.0).
**Root cause:** Docker Desktop on Windows runs the engine inside a WSL2 / Hyper-V VM. Inbound UDP from the host LAN is forwarded through `vpnkit` / `vEthernet` and the multi-source-IP datagrams are demultiplexed onto a single virtual socket. The first source-IP "wins"; subsequent unique sources are silently dropped at the VM boundary. This is a Docker Desktop limitation, not a sensing-server bug — `host.docker.internal` and `--network host` do not help (host networking is not implemented for the Linux engine on Windows).
**Fix:** Run the bundled UDP relay on the host so every forwarded datagram arrives from the same loopback source IP, which Docker passes through unchanged.
```powershell
# 1. Start the relay (PowerShell or any terminal)
python scripts/udp-relay.py --listen-port 5005 --forward-port 5006
# 2. Edit docker/docker-compose.yml — change the ESP32 UDP mapping from
# - "5005:5005/udp"
# to
# - "5006:5005/udp"
# 3. Bring the stack up
docker compose -f docker/docker-compose.yml up
```
ESP32 nodes still target the host on `--target-ip <host>:5005` — no firmware re-provisioning is needed. The relay is `scripts/udp-relay.py` (stdlib only, no extra deps). Verify with `--verbose` that each node's source IP appears at least once before forwarding stabilises on a single ephemeral relay port.
**Prevention:** Linux and macOS hosts are unaffected; the relay only needs to run on Docker Desktop for Windows. If Docker Desktop ships per-source UDP forwarding (tracked at [docker/for-win#1144](https://github.com/docker/for-win/issues/1144) and related), this workaround can be retired.
**Prior art:** PR #413 (`txhno`) proposed a docs-only writeup of the same workaround; this entry supersedes it.
---
## 10. `404` on the visualization page when running sensing-server
**Symptom:** `sensing-server` starts cleanly, logs `HTTP server listening on http://localhost:3000`, but loading `http://localhost:3000/` (or `/ui/index.html`) returns `404 Not Found`. Reported in #188.
**Root cause:** The default `--ui-path ../../ui` is resolved relative to the binary's *current working directory*, not the binary location. When the binary is launched from anywhere other than `crates/wifi-densepose-sensing-server/`, the relative path doesn't reach the UI assets and Axum's static file handler returns 404.
**Fix:** Pass an absolute UI path, run the binary from the crate directory, or use the Docker image (which bundles the UI under `/app/ui`).
```bash
# Option A — absolute path (recommended for production)
sensing-server --source esp32 --udp-port 5005 --http-port 3000 \
--ws-port 3001 --ui-path /absolute/path/to/ui
# Option B — run from the crate dir (works for local dev / cargo run)
cd v2/crates/wifi-densepose-sensing-server
cargo run -- --source esp32
# Option C — Docker (no path config needed)
docker compose -f docker/docker-compose.yml up sensing-server
```
**Prevention:** Track future work in #188 to fall back to a path resolved relative to the executable when the cwd-relative path doesn't exist, so the binary works regardless of where it's launched.
---
## 11. Boot loop on `--edge-tier 1` or `--edge-tier 2`
**Symptom:** ESP32-S3 boots normally with `--edge-tier 0`, but flashing the same firmware with `--edge-tier 1` or `2` produces a boot loop. Serial output reaches `cpu_start` and `heap_init`, then resets repeatedly. Reported in #438 against firmware `v0.4.3.1-esp32-3-g66e2fa083-dir`.
**Root cause:** Edge tiers 1 and 2 enable the on-device DSP pipeline on Core 1. In the affected build, the `edge_dsp` task ran a tight per-frame loop without yielding, so the FreeRTOS task watchdog tripped on Core 1 and panicked. Tier 0 is passthrough only and doesn't activate the pipeline, so the watchdog never fires there.
**Fix:** Flash the [v0.4.3.1-esp32](https://github.com/ruvnet/RuView/releases/tag/v0.4.3.1-esp32) release or later — the DSP task yield fixes have shipped on `main` since the build in the report.
```bash
# Verify what version you're on (look for "App version" in serial output on boot)
python -m serial.tools.miniterm COM7 115200
# Expect: "App version: v0.4.3.1-esp32" or higher
```
If the boot loop persists on a release build, capture a full serial trace including the watchdog backtrace and reopen #438 with the new build hash.
+3 -3
View File
@@ -35,7 +35,7 @@ git checkout 96b01008
### Step 2: Rust Workspace — Full Test Suite
```bash
cd v2
cd rust-port/wifi-densepose-rs
cargo test --workspace --no-default-features
```
@@ -89,7 +89,7 @@ ls firmware/esp32-csi-node/build/*.bin 2>/dev/null || echo "App binary in build/
### Step 6: Verify ADR-018 Binary Frame Parser
```bash
cd v2
cd rust-port/wifi-densepose-rs
cargo test -p wifi-densepose-hardware --no-default-features
```
@@ -133,7 +133,7 @@ cargo test -p wifi-densepose-train --no-default-features
### Step 9: Verify Python Proof System
```bash
python archive/v1/data/proof/verify.py
python v1/data/proof/verify.py
```
**Expected:** PASS (hash `8c0680d7...` matches `expected_features.sha256`).
@@ -216,4 +216,4 @@ full = ["mincut-matching", "attn-mincut", "temporal-compress", "solver-interpola
- [Elastic Weight Consolidation](https://arxiv.org/abs/1612.00796)
- [Raft Consensus](https://raft.github.io/raft.pdf)
- [ML-DSA (FIPS 204)](https://csrc.nist.gov/pubs/fips/204/final)
- [WiFi-DensePose Rust ADR-001: Workspace Structure](../v2/docs/adr/ADR-001-workspace-structure.md)
- [WiFi-DensePose Rust ADR-001: Workspace Structure](../rust-port/wifi-densepose-rs/docs/adr/ADR-001-workspace-structure.md)
@@ -20,31 +20,31 @@ The following code paths produce fake data **in the default configuration** or a
| File | Line | Issue | Impact |
|------|------|-------|--------|
| `archive/v1/src/core/csi_processor.py` | 390 | `doppler_shift = np.random.rand(10) # Placeholder` | **Real feature extractor returns random Doppler** - kills credibility of entire feature pipeline |
| `archive/v1/src/hardware/csi_extractor.py` | 83-84 | `amplitude = np.random.rand(...)` in CSI extraction fallback | Random data silently substituted when parsing fails |
| `archive/v1/src/hardware/csi_extractor.py` | 129-135 | `_parse_atheros()` returns `np.random.rand()` with comment "placeholder implementation" | Named as if it parses real data, actually random |
| `archive/v1/src/hardware/router_interface.py` | 211-212 | `np.random.rand(3, 56)` in fallback path | Silent random fallback |
| `archive/v1/src/services/pose_service.py` | 431 | `mock_csi = np.random.randn(64, 56, 3) # Mock CSI data` | Mock CSI in production code path |
| `archive/v1/src/services/pose_service.py` | 293-356 | `_generate_mock_poses()` with `random.randint` throughout | Entire mock pose generator in service layer |
| `archive/v1/src/services/pose_service.py` | 489-607 | Multiple `random.randint` for occupancy, historical data | Fake statistics that look real in API responses |
| `archive/v1/src/api/dependencies.py` | 82, 408 | "return a mock user for development" | Auth bypass in default path |
| `v1/src/core/csi_processor.py` | 390 | `doppler_shift = np.random.rand(10) # Placeholder` | **Real feature extractor returns random Doppler** - kills credibility of entire feature pipeline |
| `v1/src/hardware/csi_extractor.py` | 83-84 | `amplitude = np.random.rand(...)` in CSI extraction fallback | Random data silently substituted when parsing fails |
| `v1/src/hardware/csi_extractor.py` | 129-135 | `_parse_atheros()` returns `np.random.rand()` with comment "placeholder implementation" | Named as if it parses real data, actually random |
| `v1/src/hardware/router_interface.py` | 211-212 | `np.random.rand(3, 56)` in fallback path | Silent random fallback |
| `v1/src/services/pose_service.py` | 431 | `mock_csi = np.random.randn(64, 56, 3) # Mock CSI data` | Mock CSI in production code path |
| `v1/src/services/pose_service.py` | 293-356 | `_generate_mock_poses()` with `random.randint` throughout | Entire mock pose generator in service layer |
| `v1/src/services/pose_service.py` | 489-607 | Multiple `random.randint` for occupancy, historical data | Fake statistics that look real in API responses |
| `v1/src/api/dependencies.py` | 82, 408 | "return a mock user for development" | Auth bypass in default path |
#### Moderate Severity (mock gated behind flags but confusing)
| File | Line | Issue |
|------|------|-------|
| `archive/v1/src/config/settings.py` | 144-145 | `mock_hardware=False`, `mock_pose_data=False` defaults - correct, but mock infrastructure exists |
| `archive/v1/src/core/router_interface.py` | 27-300 | 270+ lines of mock data generation infrastructure in production code |
| `archive/v1/src/services/pose_service.py` | 84-88 | Silent conditional: `if not self.settings.mock_pose_data` with no logging of real-mode |
| `archive/v1/src/services/hardware_service.py` | 72-375 | Interleaved mock/real paths throughout |
| `v1/src/config/settings.py` | 144-145 | `mock_hardware=False`, `mock_pose_data=False` defaults - correct, but mock infrastructure exists |
| `v1/src/core/router_interface.py` | 27-300 | 270+ lines of mock data generation infrastructure in production code |
| `v1/src/services/pose_service.py` | 84-88 | Silent conditional: `if not self.settings.mock_pose_data` with no logging of real-mode |
| `v1/src/services/hardware_service.py` | 72-375 | Interleaved mock/real paths throughout |
#### Low Severity (placeholders/TODOs)
| File | Line | Issue |
|------|------|-------|
| `archive/v1/src/core/router_interface.py` | 198 | "Collect real CSI data from router (placeholder implementation)" |
| `archive/v1/src/api/routers/health.py` | 170-171 | `uptime_seconds = 0.0 # TODO` |
| `archive/v1/src/services/pose_service.py` | 739 | `"uptime_seconds": 0.0 # TODO` |
| `v1/src/core/router_interface.py` | 198 | "Collect real CSI data from router (placeholder implementation)" |
| `v1/src/api/routers/health.py` | 170-171 | `uptime_seconds = 0.0 # TODO` |
| `v1/src/services/pose_service.py` | 739 | `"uptime_seconds": 0.0 # TODO` |
### Root Cause Analysis
@@ -119,7 +119,7 @@ def _parse_atheros(self, raw_data: bytes) -> CSIData:
**All mock code moves to a dedicated module. Default execution NEVER touches mock paths.**
```
archive/v1/src/
v1/src/
├── core/
│ ├── csi_processor.py # Real processing only
│ └── router_interface.py # Real hardware interface only
@@ -157,7 +157,7 @@ if MOCK_MODE:
A small real CSI capture file + one-command verification pipeline:
```
archive/v1/data/proof/
v1/data/proof/
├── README.md # How to verify
├── sample_csi_capture.bin # Real CSI data (1 second, ~50 KB)
├── sample_csi_capture_meta.json # Capture metadata (hardware, env)
@@ -172,7 +172,7 @@ archive/v1/data/proof/
"""Verify WiFi-DensePose pipeline produces deterministic output from real CSI data.
Usage:
python archive/v1/data/proof/verify.py
python v1/data/proof/verify.py
Expected output:
PASS: Pipeline output matches expected hash
@@ -265,13 +265,13 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
WORKDIR /app
# Pinned requirements (not a reference to missing file)
COPY archive/v1/requirements-lock.txt ./requirements.txt
COPY v1/requirements-lock.txt ./requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
COPY archive/v1/ ./v1/
COPY v1/ ./v1/
# Proof of reality: verify pipeline on build
RUN cd archive/v1 && python data/proof/verify.py
RUN cd v1 && python data/proof/verify.py
EXPOSE 8000
# Default: REAL mode (mock requires explicit opt-in)
@@ -281,7 +281,7 @@ CMD ["uvicorn", "v1.src.api.main:app", "--host", "0.0.0.0", "--port", "8000"]
**Key change**: `RUN python data/proof/verify.py` **during build** means the Docker image cannot be created unless the pipeline produces correct output from real CSI data.
**Requirements lockfile** (`archive/v1/requirements-lock.txt`):
**Requirements lockfile** (`v1/requirements-lock.txt`):
```
# Core (required)
fastapi==0.115.6
@@ -307,9 +307,9 @@ name: Verify Signal Pipeline
on:
push:
paths: ['archive/v1/src/**', 'archive/v1/data/proof/**']
paths: ['v1/src/**', 'v1/data/proof/**']
pull_request:
paths: ['archive/v1/src/**']
paths: ['v1/src/**']
jobs:
verify:
@@ -322,11 +322,11 @@ jobs:
- name: Install minimal deps
run: pip install numpy scipy pydantic pydantic-settings
- name: Verify pipeline determinism
run: python archive/v1/data/proof/verify.py
run: python v1/data/proof/verify.py
- name: Verify no random in production paths
run: |
# Fail if np.random appears in production code (not in testing/)
! grep -r "np\.random\.\(rand\|randn\|randint\)" archive/v1/src/ \
! grep -r "np\.random\.\(rand\|randn\|randint\)" v1/src/ \
--include="*.py" \
--exclude-dir=testing \
|| (echo "FAIL: np.random found in production code" && exit 1)
@@ -336,23 +336,23 @@ jobs:
| File | Action | Description |
|------|--------|-------------|
| `archive/v1/src/core/csi_processor.py:390` | **Replace** | Real Doppler extraction from temporal CSI history |
| `archive/v1/src/hardware/csi_extractor.py:83-84` | **Replace** | Hard error with descriptive message when parsing fails |
| `archive/v1/src/hardware/csi_extractor.py:129-135` | **Replace** | Real Atheros CSI parser or hard error with hardware instructions |
| `archive/v1/src/hardware/router_interface.py:198-212` | **Replace** | Hard error for unimplemented hardware, or real `iwconfig` + CSI tool integration |
| `archive/v1/src/services/pose_service.py:293-356` | **Move** | Move `_generate_mock_poses()` to `archive/v1/src/testing/mock_pose_generator.py` |
| `archive/v1/src/services/pose_service.py:430-431` | **Remove** | Remove mock CSI generation from production path |
| `archive/v1/src/services/pose_service.py:489-607` | **Replace** | Real statistics from database, or explicit "no data" response |
| `archive/v1/src/core/router_interface.py:60-300` | **Move** | Move mock generator to `archive/v1/src/testing/mock_csi_generator.py` |
| `archive/v1/src/api/dependencies.py:82,408` | **Replace** | Real auth check or explicit dev-mode bypass with logging |
| `archive/v1/data/proof/` | **Create** | Proof bundle (sample capture + expected hash + verify script) |
| `archive/v1/requirements-lock.txt` | **Create** | Pinned minimal dependencies |
| `v1/src/core/csi_processor.py:390` | **Replace** | Real Doppler extraction from temporal CSI history |
| `v1/src/hardware/csi_extractor.py:83-84` | **Replace** | Hard error with descriptive message when parsing fails |
| `v1/src/hardware/csi_extractor.py:129-135` | **Replace** | Real Atheros CSI parser or hard error with hardware instructions |
| `v1/src/hardware/router_interface.py:198-212` | **Replace** | Hard error for unimplemented hardware, or real `iwconfig` + CSI tool integration |
| `v1/src/services/pose_service.py:293-356` | **Move** | Move `_generate_mock_poses()` to `v1/src/testing/mock_pose_generator.py` |
| `v1/src/services/pose_service.py:430-431` | **Remove** | Remove mock CSI generation from production path |
| `v1/src/services/pose_service.py:489-607` | **Replace** | Real statistics from database, or explicit "no data" response |
| `v1/src/core/router_interface.py:60-300` | **Move** | Move mock generator to `v1/src/testing/mock_csi_generator.py` |
| `v1/src/api/dependencies.py:82,408` | **Replace** | Real auth check or explicit dev-mode bypass with logging |
| `v1/data/proof/` | **Create** | Proof bundle (sample capture + expected hash + verify script) |
| `v1/requirements-lock.txt` | **Create** | Pinned minimal dependencies |
| `.github/workflows/verify-pipeline.yml` | **Create** | CI verification |
### Hardware Documentation
```
archive/v1/docs/hardware-setup.md (to be created)
v1/docs/hardware-setup.md (to be created)
# Supported Hardware Matrix
@@ -368,17 +368,17 @@ archive/v1/docs/hardware-setup.md (to be created)
2. Capture 10 seconds of empty-room baseline
3. Have one person walk through at normal pace
4. Capture 10 seconds during walk-through
5. Run calibration: `python archive/v1/scripts/calibrate.py --baseline empty.dat --activity walk.dat`
5. Run calibration: `python v1/scripts/calibrate.py --baseline empty.dat --activity walk.dat`
```
## Consequences
### Positive
- **"Clone, build, verify" in one command**: `docker build . && docker run --rm wifi-densepose python archive/v1/data/proof/verify.py` produces a deterministic PASS
- **"Clone, build, verify" in one command**: `docker build . && docker run --rm wifi-densepose python v1/data/proof/verify.py` produces a deterministic PASS
- **No silent fakes**: Random data never appears in production output
- **CI enforcement**: PRs that introduce `np.random` in production paths fail automatically
- **Credibility anchor**: SHA-256 verified output from real CSI capture is unchallengeable proof
- **Clear mock boundary**: Mock code exists only in `archive/v1/src/testing/`, never imported by production modules
- **Clear mock boundary**: Mock code exists only in `v1/src/testing/`, never imported by production modules
### Negative
- **Requires real CSI capture**: Someone must capture and commit a real CSI sample (one-time effort)
@@ -390,7 +390,7 @@ archive/v1/docs/hardware-setup.md (to be created)
A stranger can:
1. `git clone` the repository
2. Run ONE command (`docker build .` or `python archive/v1/data/proof/verify.py`)
2. Run ONE command (`docker build .` or `python v1/data/proof/verify.py`)
3. See `PASS: Pipeline output matches expected hash` with a specific SHA-256
4. Confirm no `np.random` in any non-test file via CI badge
+1 -1
View File
@@ -166,7 +166,7 @@ typedef struct {
The aggregator runs on any machine with WiFi/Ethernet to the nodes:
```rust
// In v2/, new module: crates/wifi-densepose-hardware/src/esp32/
// In wifi-densepose-rs, new module: crates/wifi-densepose-hardware/src/esp32/
pub struct Esp32Aggregator {
/// UDP socket listening for node streams
socket: UdpSocket,
@@ -1,7 +1,7 @@
# ADR-013: Feature-Level Sensing on Commodity Gear (Option 3)
## Status
Accepted — Implemented (36/36 unit tests pass, see `archive/v1/src/sensing/` and `archive/v1/tests/unit/test_sensing.py`)
Accepted — Implemented (36/36 unit tests pass, see `v1/src/sensing/` and `v1/tests/unit/test_sensing.py`)
## Date
2026-02-28
@@ -323,7 +323,7 @@ class PresenceClassifier:
### Proof Bundle for Commodity Sensing
```
archive/v1/data/proof/commodity/
v1/data/proof/commodity/
├── rssi_capture_30sec.json # 30 seconds of RSSI from 3 receivers
├── rssi_capture_meta.json # Hardware: Intel AX200, Router: TP-Link AX1800
├── scenario.txt # "Person walks through room at t=10s, sits at t=20s"
@@ -375,7 +375,7 @@ class CommodityBackend(SensingBackend):
### Implementation Status
The full commodity sensing pipeline is implemented in `archive/v1/src/sensing/`:
The full commodity sensing pipeline is implemented in `v1/src/sensing/`:
| Module | File | Description |
|--------|------|-------------|
@@ -384,7 +384,7 @@ The full commodity sensing pipeline is implemented in `archive/v1/src/sensing/`:
| Classifier | `classifier.py` | `PresenceClassifier` with ABSENT/PRESENT_STILL/ACTIVE levels, confidence scoring |
| Backend | `backend.py` | `CommodityBackend` wiring collector → extractor → classifier, reports PRESENCE + MOTION capabilities |
**Test coverage**: 36 tests in `archive/v1/tests/unit/test_sensing.py` — all passing:
**Test coverage**: 36 tests in `v1/tests/unit/test_sensing.py` — all passing:
- `TestRingBuffer` (4), `TestSimulatedCollector` (5), `TestFeatureExtractor` (8), `TestCusum` (4), `TestPresenceClassifier` (7), `TestCommodityBackend` (6), `TestBandPower` (2)
**Dependencies**: `numpy`, `scipy` (for FFT and spectral analysis)
@@ -510,7 +510,7 @@ impl CompressedHeartbeatSpectrogram {
## Dependency Changes Required
Add to `v2/Cargo.toml` workspace (already present from ADR-016):
Add to `rust-port/wifi-densepose-rs/Cargo.toml` workspace (already present from ADR-016):
```toml
ruvector-mincut = "2.0.4" # already present
ruvector-attn-mincut = "2.0.4" # already present
+4 -4
View File
@@ -22,8 +22,8 @@ This ADR answers *how* to build it — the concrete development sequence, the sp
| Frame types | `wifi-densepose-hardware/src/csi_frame.rs` | Complete — `CsiFrame`, `CsiMetadata`, `SubcarrierData`, `to_amplitude_phase()` |
| Parse error types | `wifi-densepose-hardware/src/error.rs` | Complete — `ParseError` enum with 6 variants |
| Signal processing pipeline | `wifi-densepose-signal` crate | Complete — Hampel, Fresnel, BVP, Doppler, spectrogram |
| CSI extractor (Python) | `archive/v1/src/hardware/csi_extractor.py` | Stub — `_read_raw_data()` raises `NotImplementedError` |
| Router interface (Python) | `archive/v1/src/hardware/router_interface.py` | Stub — `_parse_csi_response()` raises `RouterConnectionError` |
| CSI extractor (Python) | `v1/src/hardware/csi_extractor.py` | Stub — `_read_raw_data()` raises `NotImplementedError` |
| Router interface (Python) | `v1/src/hardware/router_interface.py` | Stub — `_parse_csi_response()` raises `RouterConnectionError` |
**Not yet implemented:**
@@ -211,10 +211,10 @@ The bridge test: parse a known binary frame, convert to `CsiData`, assert `ampli
### Layer 4 — Python `_read_raw_data()` Real Implementation
Replace the `NotImplementedError` stub in `archive/v1/src/hardware/csi_extractor.py` with a UDP socket reader. This allows the Python pipeline to receive real CSI from the aggregator while the Rust pipeline is being integrated.
Replace the `NotImplementedError` stub in `v1/src/hardware/csi_extractor.py` with a UDP socket reader. This allows the Python pipeline to receive real CSI from the aggregator while the Rust pipeline is being integrated.
```python
# archive/v1/src/hardware/csi_extractor.py
# v1/src/hardware/csi_extractor.py
# Replace _read_raw_data() stub:
import socket as _socket
+3 -3
View File
@@ -11,7 +11,7 @@
The WiFi-DensePose UI was originally built to require the full FastAPI DensePose backend (`localhost:8000`) for all functionality. This backend depends on heavy Python packages (PyTorch ~2GB, torchvision, OpenCV, SQLAlchemy, Redis) making it impractical for lightweight sensing-only deployments where the user simply wants to visualize live WiFi signal data from ESP32 CSI or Windows RSSI collectors.
A Rust port exists (`v2`) using Axum with lighter runtime footprint (~10MB binary, ~5MB RAM), but it still requires libtorch C++ bindings and OpenBLAS for compilation—a non-trivial build.
A Rust port exists (`rust-port/wifi-densepose-rs`) using Axum with lighter runtime footprint (~10MB binary, ~5MB RAM), but it still requires libtorch C++ bindings and OpenBLAS for compilation—a non-trivial build.
Users need a way to run the UI with **only the sensing pipeline** active, without installing the full DensePose backend stack.
@@ -34,7 +34,7 @@ Implement a **sensing-only UI mode** that:
- Breathing ring modulation when breathing-band power detected
- Side panel with RSSI sparkline, feature meters, and classification badge
4. **Python WebSocket bridge** (`archive/v1/src/sensing/ws_server.py`) that:
4. **Python WebSocket bridge** (`v1/src/sensing/ws_server.py`) that:
- Auto-detects ESP32 UDP CSI stream on port 5005 (ADR-018 binary frames)
- Falls back to `WindowsWifiCollector``SimulatedCollector`
- Runs `RssiFeatureExtractor``PresenceClassifier` pipeline
@@ -80,7 +80,7 @@ Windows WiFi RSSI ───┘ │ │
### Created
| File | Purpose |
|------|---------|
| `archive/v1/src/sensing/ws_server.py` | Python asyncio WebSocket server with auto-detect collectors |
| `v1/src/sensing/ws_server.py` | Python asyncio WebSocket server with auto-detect collectors |
| `ui/components/SensingTab.js` | Sensing tab UI with Three.js integration |
| `ui/components/gaussian-splats.js` | Custom GLSL Gaussian splat renderer |
| `ui/services/sensing.service.js` | WebSocket client with reconnect + simulation fallback |
@@ -22,7 +22,7 @@ The current Python DensePose backend requires ~2GB+ of dependencies:
This makes the DensePose backend impractical for edge deployments, CI pipelines, and developer laptops where users only need WiFi sensing + pose estimation.
Meanwhile, the Rust port at `v2/` already has:
Meanwhile, the Rust port at `rust-port/wifi-densepose-rs/` already has:
- **12 workspace crates** covering core, signal, nn, api, db, config, hardware, wasm, cli, mat, train
- **5 RuVector crates** (v2.0.4, published on crates.io) integrated into signal, mat, and train crates
@@ -40,8 +40,8 @@ Use the `wifi-densepose-nn` crate with `default-features = ["onnx"]` only. This
| Component | Rust Crate | Replaces Python |
|-----------|-----------|-----------------|
| CSI processing | `wifi-densepose-signal::csi_processor` | `archive/v1/src/sensing/feature_extractor.py` |
| Motion detection | `wifi-densepose-signal::motion` | `archive/v1/src/sensing/classifier.py` |
| CSI processing | `wifi-densepose-signal::csi_processor` | `v1/src/sensing/feature_extractor.py` |
| Motion detection | `wifi-densepose-signal::motion` | `v1/src/sensing/classifier.py` |
| BVP extraction | `wifi-densepose-signal::bvp` | N/A (new capability) |
| Fresnel geometry | `wifi-densepose-signal::fresnel` | N/A (new capability) |
| Subcarrier selection | `wifi-densepose-signal::subcarrier_selection` | N/A (new capability) |
@@ -143,7 +143,7 @@ The `wifi-densepose-nn::onnx` module loads `.onnx` files directly.
```bash
# Build the Rust workspace (ONNX-only, no libtorch)
cd v2
cd rust-port/wifi-densepose-rs
cargo check --workspace 2>&1
# Build release binary
@@ -34,7 +34,7 @@ The `vendor/ruvector` codebase provides a rich set of signal processing primitiv
### Current Project State
The Rust port (`v2/`) already contains:
The Rust port (`rust-port/wifi-densepose-rs/`) already contains:
- **`wifi-densepose-signal`**: CSI processing, BVP extraction, phase sanitization, Hampel filter, spectrogram generation, Fresnel geometry, motion detection, subcarrier selection
- **`wifi-densepose-sensing-server`**: Axum server receiving ESP32 CSI frames (UDP 5005), WebSocket broadcasting sensing updates, signal field generation, with three data source modes:
@@ -108,7 +108,7 @@ ESP32 CSI (UDP:5005) ──▶│ ┌──────────────
### Module Structure
```
v2/crates/wifi-densepose-vitals/
rust-port/wifi-densepose-rs/crates/wifi-densepose-vitals/
├── Cargo.toml
└── src/
├── lib.rs # Public API and re-exports
@@ -592,7 +592,7 @@ impl FrameBuilder {
### 3.3 Module Structure
```
v2/crates/wifi-densepose-wifiscan/
rust-port/wifi-densepose-rs/crates/wifi-densepose-wifiscan/
├── Cargo.toml
└── src/
├── lib.rs # Public API, re-exports
@@ -699,28 +699,28 @@ let dashboard = container.load_dashboard()?;
| File | Purpose |
|------|---------|
| `v2/.../wifi-densepose-train/src/dataset_mmfi.rs` | MM-Fi dataset loader with subcarrier resampling |
| `v2/.../wifi-densepose-train/src/dataset_wipose.rs` | Wi-Pose dataset loader |
| `v2/.../wifi-densepose-train/src/graph_transformer.rs` | Graph transformer integration |
| `v2/.../wifi-densepose-train/src/body_gnn.rs` | GNN body graph reasoning |
| `v2/.../wifi-densepose-train/src/adaptation.rs` | SONA LoRA + EWC++ adaptation |
| `v2/.../wifi-densepose-train/src/trainer.rs` | Training loop with multi-term loss |
| `rust-port/.../wifi-densepose-train/src/dataset_mmfi.rs` | MM-Fi dataset loader with subcarrier resampling |
| `rust-port/.../wifi-densepose-train/src/dataset_wipose.rs` | Wi-Pose dataset loader |
| `rust-port/.../wifi-densepose-train/src/graph_transformer.rs` | Graph transformer integration |
| `rust-port/.../wifi-densepose-train/src/body_gnn.rs` | GNN body graph reasoning |
| `rust-port/.../wifi-densepose-train/src/adaptation.rs` | SONA LoRA + EWC++ adaptation |
| `rust-port/.../wifi-densepose-train/src/trainer.rs` | Training loop with multi-term loss |
| `scripts/generate_densepose_labels.py` | Teacher-student UV label generation |
| `scripts/benchmark_inference.py` | Inference latency benchmarking |
| `v2/.../wifi-densepose-train/src/rvf_builder.rs` | RVF container build pipeline |
| `v2/.../wifi-densepose-train/src/bin/build_rvf.rs` | CLI binary for building `.rvf` containers |
| `v2/.../wifi-densepose-train/src/bin/verify_rvf.rs` | CLI binary for verifying `.rvf` containers |
| `rust-port/.../wifi-densepose-train/src/rvf_builder.rs` | RVF container build pipeline |
| `rust-port/.../wifi-densepose-train/src/bin/build_rvf.rs` | CLI binary for building `.rvf` containers |
| `rust-port/.../wifi-densepose-train/src/bin/verify_rvf.rs` | CLI binary for verifying `.rvf` containers |
### Modified Files
| File | Change |
|------|--------|
| `v2/.../wifi-densepose-train/Cargo.toml` | Add ruvector-gnn, graph-transformer, sona, sparse-inference, math, rvf-types, rvf-wire, rvf-manifest, rvf-index, rvf-quant, rvf-crypto, rvf-runtime deps |
| `v2/.../wifi-densepose-train/src/model.rs` | Integrate graph transformer + GNN layers |
| `v2/.../wifi-densepose-train/src/losses.rs` | Add optimal transport + GNN edge consistency loss terms |
| `v2/.../wifi-densepose-train/src/config.rs` | Add training hyperparameters for new components |
| `v2/.../sensing-server/Cargo.toml` | Add rvf-runtime, rvf-types, rvf-index, rvf-quant deps |
| `v2/.../sensing-server/src/main.rs` | Add `--model` flag, load `.rvf` container, progressive startup, serve embedded dashboard |
| `rust-port/.../wifi-densepose-train/Cargo.toml` | Add ruvector-gnn, graph-transformer, sona, sparse-inference, math, rvf-types, rvf-wire, rvf-manifest, rvf-index, rvf-quant, rvf-crypto, rvf-runtime deps |
| `rust-port/.../wifi-densepose-train/src/model.rs` | Integrate graph transformer + GNN layers |
| `rust-port/.../wifi-densepose-train/src/losses.rs` | Add optimal transport + GNN edge consistency loss terms |
| `rust-port/.../wifi-densepose-train/src/config.rs` | Add training hyperparameters for new components |
| `rust-port/.../sensing-server/Cargo.toml` | Add rvf-runtime, rvf-types, rvf-index, rvf-quant deps |
| `rust-port/.../sensing-server/src/main.rs` | Add `--model` flag, load `.rvf` container, progressive startup, serve embedded dashboard |
## Consequences
@@ -371,7 +371,7 @@ ESP32 SRAM budget: 520 KB. Model at INT8: 53-60 KB = 10-12% of SRAM. Ample margi
### 2.6 Concrete Module Additions
All new/modified files in `v2/crates/wifi-densepose-sensing-server/src/`:
All new/modified files in `rust-port/wifi-densepose-rs/crates/wifi-densepose-sensing-server/src/`:
#### 2.6.1 `embedding.rs` (NEW, ~450 lines)
@@ -107,7 +107,7 @@ Implement a **macOS CoreWLAN sensing adapter** as a Swift helper binary + Rust a
### 3.2 Swift Helper Binary
**File:** `v2/tools/macos-wifi-scan/main.swift`
**File:** `rust-port/wifi-densepose-rs/tools/macos-wifi-scan/main.swift`
```swift
// Modes:
+4 -4
View File
@@ -232,10 +232,10 @@ python scripts/provision.py --port COM7 \
| Component | File | Purpose |
|-----------|------|---------|
| Reference signal | `archive/v1/data/proof/sample_csi_data.json` | 1,000 synthetic CSI frames, seed=42 |
| Generator | `archive/v1/data/proof/generate_reference_signal.py` | Deterministic multipath model |
| Verifier | `archive/v1/data/proof/verify.py` | SHA-256 hash comparison |
| Expected hash | `archive/v1/data/proof/expected_features.sha256` | `0b82bd45...` |
| Reference signal | `v1/data/proof/sample_csi_data.json` | 1,000 synthetic CSI frames, seed=42 |
| Generator | `v1/data/proof/generate_reference_signal.py` | Deterministic multipath model |
| Verifier | `v1/data/proof/verify.py` | SHA-256 hash comparison |
| Expected hash | `v1/data/proof/expected_features.sha256` | `0b82bd45...` |
**Audit-time result:** PASS. Hash regenerated with numpy 2.4.2 + scipy 1.17.1. Pipeline hash: `8c0680d7d285739ea9597715e84959d9c356c87ee3ad35b5f1e69a4ca41151c6`.
+7 -7
View File
@@ -198,16 +198,16 @@ When a `.rvf` model is loaded:
### New Files
- `ui/components/ModelPanel.js` — Model library, inspector, load/unload controls
- `ui/components/TrainingPanel.js` — Recording controls, training progress, metric charts
- `v2/.../sensing-server/src/recording.rs` — CSI recording API handlers
- `v2/.../sensing-server/src/training_api.rs` — Training API handlers + WS progress stream
- `v2/.../sensing-server/src/model_manager.rs` — Model loading, hot-swap, 32LoRA activation
- `rust-port/.../sensing-server/src/recording.rs` — CSI recording API handlers
- `rust-port/.../sensing-server/src/training_api.rs` — Training API handlers + WS progress stream
- `rust-port/.../sensing-server/src/model_manager.rs` — Model loading, hot-swap, 32LoRA activation
- `data/models/` — Default model storage directory
### Modified Files
- `v2/.../sensing-server/src/main.rs` — Wire recording, training, and model APIs
- `v2/.../train/src/trainer.rs` — Add WebSocket progress callback, LoRA training mode
- `v2/.../train/src/dataset.rs` — MM-Fi and Wi-Pose dataset loaders
- `v2/.../nn/src/onnx.rs` — LoRA weight injection, INT8 quantization support
- `rust-port/.../sensing-server/src/main.rs` — Wire recording, training, and model APIs
- `rust-port/.../train/src/trainer.rs` — Add WebSocket progress callback, LoRA training mode
- `rust-port/.../train/src/dataset.rs` — MM-Fi and Wi-Pose dataset loaders
- `rust-port/.../nn/src/onnx.rs` — LoRA weight injection, INT8 quantization support
- `ui/components/LiveDemoTab.js` — Model selector, LoRA dropdown, A/B spsplit view
- `ui/components/SettingsPanel.js` — Model and training configuration sections
- `ui/components/PoseDetectionCanvas.js` — Pose trail rendering, confidence heatmap overlay
+1 -1
View File
@@ -128,7 +128,7 @@ All configurable via `provision.py --edge-tier 2 --pres-thresh 0.05 ...`
- `firmware/esp32-csi-node/main/edge_processing.h` — Types and API
- `firmware/esp32-csi-node/main/ota_update.c/h` — HTTP OTA endpoint
- `firmware/esp32-csi-node/main/power_mgmt.c/h` — Power management
- `v2/.../wifi-densepose-sensing-server/src/main.rs` — Vitals parser + REST endpoint
- `rust-port/.../wifi-densepose-sensing-server/src/main.rs` — Vitals parser + REST endpoint
- `scripts/provision.py` — Edge config CLI arguments
- `.github/workflows/firmware-ci.yml` — CI build + size gate (updated to 950 KB for Tier 3)
@@ -164,8 +164,8 @@ Core 1 (DSP Task)
- `firmware/esp32-csi-node/main/wasm_runtime.c/h` — Runtime host with 12 API bindings + manifest
- `firmware/esp32-csi-node/main/wasm_upload.c/h` — HTTP REST endpoints (RVF-aware)
- `firmware/esp32-csi-node/main/rvf_parser.c/h` — RVF container parser and verifier
- `v2/.../wifi-densepose-wasm-edge/` — Rust WASM crate (gesture, coherence, adversarial, rvf, occupancy, vital_trend, intrusion)
- `v2/.../wifi-densepose-sensing-server/src/main.rs``0xC5110004` parser
- `rust-port/.../wifi-densepose-wasm-edge/` — Rust WASM crate (gesture, coherence, adversarial, rvf, occupancy, vital_trend, intrusion)
- `rust-port/.../wifi-densepose-sensing-server/src/main.rs``0xC5110004` parser
- `docs/adr/ADR-039-esp32-edge-intelligence.md` — Updated with Tier 3 reference
---
@@ -289,7 +289,7 @@ Startup creates `data/models/` and `data/recordings/` directories and populates
```bash
# 1. Start sensing server with auto source (simulated fallback)
cd v2
cd rust-port/wifi-densepose-rs
cargo run -p wifi-densepose-sensing-server -- --http-port 3000 --source auto
# 2. Verify model endpoints return 200
@@ -312,11 +312,11 @@ curl -s http://localhost:3000/api/v1/models/lora/profiles | jq '.'
# Navigate to http://localhost:3000/ui/
# 7. Run mobile tests
cd ../ui/mobile
cd ../../ui/mobile
npx jest --no-coverage
# 8. Run Rust workspace tests (must pass, 1031+ tests)
cd ../../v2
cd ../../rust-port/wifi-densepose-rs
cargo test --workspace --no-default-features
```
@@ -1,65 +0,0 @@
# ADR-044: Geospatial Satellite Integration
## Status
Accepted
## Context
RuView generates real-time 3D point clouds from camera + WiFi CSI, but these exist in a local coordinate frame with no geographic reference. Integrating free satellite imagery, terrain elevation, and map data provides environmental context that enables the ruOS brain to reason about the physical world beyond the room.
## Decision
### Data Sources (all free, no API keys)
| Source | Data | Resolution | Update | Format |
|--------|------|-----------|--------|--------|
| EOX Sentinel-2 Cloudless | Satellite tiles | 10m | Static mosaic | XYZ/JPEG |
| SRTM GL1 (NASA) | Elevation/DEM | 30m (1-arcsec) | Static | Binary HGT |
| Overpass API (OSM) | Buildings, roads | Vector | Real-time | JSON |
| ip-api.com | IP geolocation | ~1km | Per-request | JSON |
| Sentinel-2 STAC | Temporal satellite | 10m | Every 5 days | COG/STAC |
| Open Meteo | Weather | Point | Hourly | JSON |
### Architecture
Pure Rust implementation in `wifi-densepose-geo` crate. No GDAL/PROJ/GEOS — coordinate transforms implemented directly (~250 LOC). Tile caching on disk at `~/.local/share/ruview/geo-cache/`.
### Coordinate System
- WGS84 for geographic coordinates
- ENU (East-North-Up) as the bridge between local sensor frame and world
- Local sensor frame: camera origin, +Z forward, +Y up
### Temporal Awareness
Nightly scheduled fetch of Sentinel-2 latest imagery + OSM diffs + weather.
Changes detected via image comparison and stored as brain memories for
contrastive learning.
### Brain Integration
Geospatial context stored as brain memories:
- `spatial-geo`: location, elevation, nearby landmarks
- `spatial-change`: detected changes in satellite/OSM data
- `spatial-weather`: current conditions + forecast
- `spatial-season`: vegetation index, snow cover, seasonal patterns
- `spatial-local`: hyperlocal web context from Common Crawl WET
### Extended Data Sources (via ruvector WET/Common Crawl)
| Source | Data | Use |
|--------|------|-----|
| Common Crawl WET | Web text near location | Local business info, reviews, events |
| Wikidata | Structured knowledge | Building names, POI descriptions |
| NASA FIRMS | Active fire (3-hour) | Safety alerts |
| USGS Earthquakes | Seismic events | Safety context |
| OpenAQ | Air quality (PM2.5) | Environmental health |
| Overture Maps | Building footprints (Meta/MS) | Higher quality than OSM |
The ruvector brain server has existing `web_ingest` + Common Crawl support.
WET files filtered by geographic URL patterns provide hyperlocal context.
## Consequences
### Positive
- Agent gains environmental awareness beyond the room
- Temporal data enables seasonal calibration of CSI sensing
- Change detection finds construction, vegetation, weather effects
- All data sources are genuinely free with no API keys
### Negative
- Initial data fetch requires internet (~2MB tiles + ~25MB DEM)
- Cached data becomes stale (mitigated by nightly refresh)
- IP geolocation has ~1km accuracy (mitigated by manual override)
@@ -1,4 +1,4 @@
# ADR-050: Provisioning Tool Enhancements
# ADR-044: Provisioning Tool Enhancements
**Status**: Proposed
**Date**: 2026-03-03
@@ -108,7 +108,7 @@ Remove duplicated platform-detection logic from `ws_server.py` and `install.sh`.
## Implementation Notes
1. Add `create_collector()` and `BaseCollector.is_available()` to `archive/v1/src/sensing/rssi_collector.py`
1. Add `create_collector()` and `BaseCollector.is_available()` to `v1/src/sensing/rssi_collector.py`
2. Refactor `ws_server.py` `_init_collector()` to call `create_collector()`
3. Update `install.sh` `detect_wifi_hardware()` to use shared detection logic
4. Add unit tests for each platform path (mock `/proc/net/wireless` presence/absence)
+6 -6
View File
@@ -29,7 +29,7 @@ There is no single tool that provides a unified view of the entire deployment
A browser-based UI cannot access serial ports (for flashing), raw UDP sockets (for node discovery), or the local filesystem (for firmware binaries). A desktop application is required for hardware management. Tauri v2 is the natural choice because:
1. **Rust backend** — integrates directly with the existing Rust workspace (`v2/`). Crates like `wifi-densepose-hardware` (serial port parsing), `wifi-densepose-config`, and `wifi-densepose-sensing-server` can be linked as library dependencies.
1. **Rust backend** — integrates directly with the existing Rust workspace (`wifi-densepose-rs`). Crates like `wifi-densepose-hardware` (serial port parsing), `wifi-densepose-config`, and `wifi-densepose-sensing-server` can be linked as library dependencies.
2. **Small binary** — Tauri bundles the system webview rather than shipping Chromium (~150 MB savings vs Electron).
3. **Cross-platform** — Windows, macOS, Linux from the same codebase.
4. **Security model** — Tauri's capability-based permissions system restricts frontend access to explicitly allowed Rust commands.
@@ -52,7 +52,7 @@ Build a Tauri v2 desktop application as a new crate in the Rust workspace. The f
Add a new crate to the workspace:
```
v2/
rust-port/wifi-densepose-rs/
Cargo.toml # Add "crates/wifi-densepose-desktop" to members
crates/
wifi-densepose-desktop/ # NEW — Tauri app crate
@@ -621,11 +621,11 @@ chrono = { version = "0.4", features = ["serde"] }
```bash
# Prerequisites
cargo install tauri-cli@^2
cd v2/crates/wifi-densepose-desktop/frontend
cd rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop/frontend
npm install
# Development (hot-reload frontend + Rust rebuild)
cd v2/crates/wifi-densepose-desktop
cd rust-port/wifi-densepose-rs/crates/wifi-densepose-desktop
cargo tauri dev
# Production build
@@ -805,6 +805,6 @@ Total estimated effort: ~11 weeks for a single developer.
- ADR-051: Sensing Server Decomposition
- `firmware/esp32-csi-node/` — ESP32 firmware source
- `firmware/esp32-csi-node/provision.py` — Current provisioning script
- `v2/crates/wifi-densepose-sensing-server/` — Sensing server
- `v2/crates/wifi-densepose-hardware/` — Hardware crate
- `rust-port/wifi-densepose-rs/crates/wifi-densepose-sensing-server/` — Sensing server
- `rust-port/wifi-densepose-rs/crates/wifi-densepose-hardware/` — Hardware crate
- `ui/` — Existing web UI
@@ -214,7 +214,7 @@ examples/wasm-browser-pose/
set -e
# Build wifi-densepose-wasm (CSI processing)
wasm-pack build ../../v2/crates/wifi-densepose-wasm \
wasm-pack build ../../rust-port/wifi-densepose-rs/crates/wifi-densepose-wasm \
--target web --out-dir "$(pwd)/pkg/wifi_densepose_wasm" --no-typescript
# Build ruvector-cnn-wasm (CNN inference for both video and CSI)
+1 -1
View File
@@ -191,5 +191,5 @@ Also does not give per-person subcarrier assignments.
- Stoer, M. & Wagner, F. (1997). "A Simple Min-Cut Algorithm." JACM 44(4).
- `vendor/ruvector/crates/ruvector-mincut/src/algorithm/mod.rs` — DynamicMinCut API
- `v2/.../sig_mincut_person_match.rs` — current (broken) WASM edge matcher
- `rust-port/.../sig_mincut_person_match.rs` — current (broken) WASM edge matcher
- `scripts/rf-scan.js` — CSI packet parsing and subcarrier classification
+3 -3
View File
@@ -17,19 +17,19 @@ Address the 15 prioritized issues from the QE analysis in three waves: P0 (immed
### 1. Rate Limiter Bypass (Security HIGH)
- **Location:** `archive/v1/src/middleware/rate_limit.py:200-206`
- **Location:** `v1/src/middleware/rate_limit.py:200-206`
- **Problem:** Trusts `X-Forwarded-For` without validation. Any client bypasses rate limits via header spoofing.
- **Fix:** Validate forwarded headers against trusted proxy list, or use connection IP directly.
### 2. Exception Details Leaked in Responses (Security HIGH)
- **Location:** `archive/v1/src/api/routers/pose.py:140`, `stream.py:297`, +5 endpoints
- **Location:** `v1/src/api/routers/pose.py:140`, `stream.py:297`, +5 endpoints
- **Problem:** Stack traces visible regardless of environment.
- **Fix:** Wrap with generic error responses in production; log details server-side only.
### 3. WebSocket JWT in URL (Security HIGH, CWE-598)
- **Location:** `archive/v1/src/api/routers/stream.py:74`, `archive/v1/src/middleware/auth.py:243`
- **Location:** `v1/src/api/routers/stream.py:74`, `v1/src/middleware/auth.py:243`
- **Problem:** Tokens in query strings visible in logs/proxies/browser history.
- **Fix:** Use WebSocket subprotocol or first-message auth pattern.
@@ -1,503 +0,0 @@
# ADR-081: Adaptive CSI Mesh Firmware Kernel
| Field | Value |
|-------------|-----------------------------------------------------------------------|
| **Status** | Accepted — Layers 1/2/3/4/5 implemented and host-tested; mesh RX path and Ed25519 signing tracked as Phase 3.5 polish |
| **Date** | 2026-04-19 |
| **Authors** | ruv |
| **Depends** | ADR-018, ADR-028, ADR-029, ADR-031, ADR-032, ADR-039, ADR-066, ADR-073 |
## Context
RuView's firmware grew bottom-up. ADR-018 defined a binary CSI frame, ADR-029
added channel hopping and TDM, ADR-039 added a tiered edge-intelligence
pipeline, ADR-040 added programmable WASM modules, ADR-060 added per-node
channel and MAC overrides, ADR-066 added a swarm bridge to a coordinator, and
ADR-073 added multifrequency mesh scanning. Each one was a sound local
decision. Together they produced a firmware that works on ESP32-S3 but is
**implicitly coupled** to that chipset through `csi_collector.c` calling
`esp_wifi_*` directly and through hard-coded assumptions about the WiFi driver
callback shape.
This is a problem for three reasons:
1. **Portability.** Espressif exposes CSI through an official driver API. On
locked Broadcom and Cypress chips, projects like Nexmon achieve the same
thing by patching the firmware blob — but only for specific chip and
firmware build combinations. Future RuView nodes will likely span both
models plus eventually a custom silicon path. Today, none of the modules
above can be reused unchanged on any non-ESP32 chip.
2. **Adaptivity.** The current firmware reacts to configuration, not to
conditions. Channel hop intervals, edge tier, vitals cadence, top-K
subcarriers, fall threshold, and power duty are all read from NVS at boot
and never revisited. There is no closed-loop control: if a channel becomes
congested, if motion spikes, if inter-node coherence drops, or if the
environment is stable enough to coast at lower cadence, nothing changes
onboard. The adaptive classifier in `wifi-densepose-sensing-server` does
adapt — but only on the host side, after the data has already traversed the
network at fixed rate.
3. **Mesh as an afterthought.** ADR-029 wired in a `TdmCoordinator` and ADR-066
added a swarm bridge to a Cognitum Seed, but there is no first-class node
role enumeration (anchor / observer / fusion-relay / coordinator), no
role-assignment protocol, no `FEATURE_DELTA` message type, no
coordinator-driven channel plan, and no automatic role re-election when a
node drops. Multi-node deployments today are stitched together by manual
per-node NVS provisioning.
The hard truth is that the firmware hack — getting raw CSI off a radio — is
not the moat. The moat is **adaptive control, multi-node fusion, compact
state encoding, persistent memory, and contrastive reasoning on top of the
radio layer**. The current architecture does not name those layers, so they
get reinvented inline by every new ADR.
## Decision
Adopt a **5-layer adaptive RF sensing kernel** as the canonical RuView
firmware architecture, and refactor the existing modules to fit underneath
it. The five layers, top to bottom:
```
┌─────────────────────────────────────────────────────────────────────────┐
│ Layer 5 — Rust handoff │
│ Two streams only: feature_state (default) and debug_csi_frame (gated) │
└─────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────┐
│ Layer 4 — On-device feature extraction │
│ 100 ms motion, 1 s respiration, 5 s baseline windows │
│ Emits compact rv_feature_state_t (magic 0xC5110006) │
└─────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────┐
│ Layer 3 — Mesh sensing plane │
│ Roles: Anchor / Observer / Fusion relay / Coordinator │
│ Messages: TIME_SYNC, ROLE_ASSIGN, CHANNEL_PLAN, CALIBRATION_START, │
│ FEATURE_DELTA, HEALTH, ANOMALY_ALERT │
└─────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────┐
│ Layer 2 — Adaptive controller │
│ Fast loop ~200 ms — packet rate, active probing │
│ Medium loop ~1 s — channel selection, role changes │
│ Slow loop ~30 s — baseline recalibration │
└─────────────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────────────┐
│ Layer 1 — Radio Abstraction Layer (rv_radio_ops_t vtable) │
│ ESP32 binding, future Nexmon binding, future custom silicon binding │
└─────────────────────────────────────────────────────────────────────────┘
```
### Layer 1 — Radio Abstraction Layer
A single function-pointer vtable, `rv_radio_ops_t`, defined in
`firmware/esp32-csi-node/main/rv_radio_ops.h`:
```c
typedef struct {
int (*init)(void);
int (*set_channel)(uint8_t ch, uint8_t bw);
int (*set_mode)(uint8_t mode); /* RV_RADIO_MODE_* */
int (*set_csi_enabled)(bool en);
int (*set_capture_profile)(uint8_t profile_id);
int (*get_health)(rv_radio_health_t *out);
} rv_radio_ops_t;
```
Capture profiles, named not numbered:
| Profile | Intent |
|--------------------------------|-------------------------------------------------------|
| `RV_PROFILE_PASSIVE_LOW_RATE` | Default idle: minimum cadence, presence only |
| `RV_PROFILE_ACTIVE_PROBE` | Inject NDP frames at high rate |
| `RV_PROFILE_RESP_HIGH_SENS` | Quietest channel, longest window, vitals-only |
| `RV_PROFILE_FAST_MOTION` | Short window, high cadence |
| `RV_PROFILE_CALIBRATION` | Synchronized burst across nodes |
Two bindings ship in this ADR:
- **ESP32 binding** (`rv_radio_ops_esp32.c`) wraps `csi_collector.c`,
`esp_wifi_set_channel()`, `esp_wifi_set_csi()`, and
`csi_inject_ndp_frame()`.
- **Mock binding** (`rv_radio_ops_mock.c`) wraps `mock_csi.c` so QEMU
scenarios can exercise the controller and mesh plane without a radio.
A third binding (Nexmon-patched Broadcom) is reserved but not implemented
here.
### Layer 2 — Adaptive controller
`firmware/esp32-csi-node/main/adaptive_controller.{c,h}`. A single FreeRTOS
task with three cooperating timers:
| Loop | Period | Inputs | Outputs |
|--------|---------|------------------------------------------------------------------------|------------------------------------------------------|
| Fast | ~200 ms | packet yield, retry/drop rate, motion score | cadence (vital_interval_ms), active vs passive probe |
| Medium | ~1 s | CSI variance, RSSI median, channel occupancy, inter-node agreement | channel selection (via radio ops), role transitions |
| Slow | ~30 s | drift profile (Stable/Linear/StepChange), respiration confidence | baseline recalibration, switch to delta-only mode |
The controller publishes its decisions through the radio ops vtable
(`set_capture_profile`, `set_channel`) and through the mesh plane
(`CHANNEL_PLAN`, `ROLE_ASSIGN`). Default policy is conservative and matches
today's behavior; aggressive adaptation is opt-in via Kconfig.
### Layer 3 — Mesh sensing plane
Extends `swarm_bridge.c` with explicit node roles (Anchor / Observer /
Fusion relay / Coordinator) and a 7-message type protocol:
| Message | Cadence | Sender(s) | Purpose |
|----------------------|--------------------|------------------|-----------------------------------------------|
| `TIME_SYNC` | 100 ms | Anchor | Reuse ADR-032 `SyncBeacon` (28 bytes, HMAC) |
| `ROLE_ASSIGN` | event-driven | Coordinator | Node ID → role mapping |
| `CHANNEL_PLAN` | event-driven | Coordinator | Per-node channel + dwell schedule |
| `CALIBRATION_START` | event-driven | Coordinator | Synchronized calibration burst |
| `FEATURE_DELTA` | 110 Hz | Observer / Relay | Compact feature delta (see Layer 4) |
| `HEALTH` | 1 Hz | All | `rv_node_status_t` (see below) |
| `ANOMALY_ALERT` | event-driven | Observer | Phase-physics violation, multi-link mismatch |
Node status payload:
```c
typedef struct __attribute__((packed)) {
uint8_t node_id[8];
uint64_t local_time_us;
uint8_t role;
uint8_t current_channel;
uint8_t current_bw;
int8_t noise_floor_dbm;
uint16_t pkt_yield;
uint16_t sync_error_us;
uint16_t health_flags;
} rv_node_status_t;
```
Time-sync target is an engineering goal, not a guaranteed constant — it
depends on the clock quality of the chosen radio family. The first
acceptance test (Phase 2) measures it on real hardware.
### Layer 4 — On-device feature extraction
Defined in `firmware/esp32-csi-node/main/rv_feature_state.h`. Single
on-the-wire packet, **60 bytes packed** (verified by `_Static_assert` and
host unit test), magic `0xC5110006` (next free after ADR-039's
`0xC5110002`, ADR-069's `0xC5110003`, ADR-063's `0xC5110004`, and ADR-039's
compressed `0xC5110005`):
```c
#define RV_FEATURE_STATE_MAGIC 0xC5110006u
typedef struct __attribute__((packed)) {
uint32_t magic; /* RV_FEATURE_STATE_MAGIC */
uint8_t node_id;
uint8_t mode; /* RV_PROFILE_* identifier */
uint16_t seq; /* monotonic per-node sequence */
uint64_t ts_us; /* node-local microseconds */
float motion_score;
float presence_score;
float respiration_bpm;
float respiration_conf;
float heartbeat_bpm;
float heartbeat_conf;
float anomaly_score;
float env_shift_score;
float node_coherence;
uint16_t quality_flags;
uint16_t reserved;
uint32_t crc32; /* IEEE polynomial over bytes [0..end-4] */
} rv_feature_state_t;
_Static_assert(sizeof(rv_feature_state_t) == 60,
"rv_feature_state_t must be 60 bytes on the wire");
```
Three windows feed it: 100 ms (motion), 1 s (respiration), 5 s (baseline /
env shift). Each `rv_feature_state_t` represents the most recent state of
all three; mode field tells the receiver which window dominates this
update.
`rv_feature_state_t` does not replace ADR-039's `edge_vitals_pkt_t`
(0xC5110002) or ADR-063's `edge_fused_vitals_pkt_t` (0xC5110004). Those
remain the wire format for vitals-specific consumers. `rv_feature_state_t`
is the **default upstream payload** for the sensing pipeline; vitals
packets are now an alternate emission mode for backward compatibility.
### Layer 5 — Rust handoff
The Rust side sees only two streams from a node:
1. **`feature_state` stream** — `rv_feature_state_t`, default-on, 110 Hz.
2. **`debug_csi_frame` stream** — ADR-018 raw frames (magic 0xC5110001),
default-off, opt-in via NVS or `CHANNEL_PLAN`. Used for calibration,
debugging, training-set capture.
The Rust handoff is mirrored as a trait in
`crates/wifi-densepose-hardware/src/radio_ops.rs` so test harnesses (and
eventually the Rust-side controller for centralized coordinator nodes) can
swap radio backends without touching `wifi-densepose-signal`,
`wifi-densepose-ruvector`, `wifi-densepose-train`, or
`wifi-densepose-mat`. Rust-side mirror trait is **out of scope for the
firmware-only PR** that ships this ADR; tracked as Phase 4 follow-up.
## State Machine
```
BOOT → SELF_TEST → RADIO_INIT → TIME_SYNC → CALIBRATION → SENSE_IDLE
↓ ↑
SENSE_ACTIVE
ALERT
DEGRADED
```
Transitions:
- **CALIBRATION** on boot, on role change, on sustained inter-node
disagreement.
- **SENSE_ACTIVE** when motion or anomaly score crosses threshold.
- **DEGRADED** when packet yield, sync quality, or memory pressure drops
below threshold; falls back to ADR-039 Tier-0 raw passthrough as the
last-resort survivable mode.
## Data budgets
| Stream | Default rate | Notes |
|-------------------------|-----------------------------|----------------------------------------------|
| Raw capture (internal) | 50200 pps per observer | Stays on-device unless debug stream enabled |
| `rv_feature_state_t` | 110 Hz per node | Default upstream |
| `ANOMALY_ALERT` | event-driven | Burst-bounded |
| Debug ADR-018 raw CSI | 0 (off by default) | Burst-only via `CHANNEL_PLAN` debug flag |
ADR-039 measured raw CSI at ~5 KB/frame and ~100 KB/s per node. The default
upstream with ADR-081's 60-byte `rv_feature_state_t` at 5 Hz is **300 B/s
per node — a 99.7% reduction**. A 50-node deployment at 5 Hz fits in
15 KB/s total, easily carried by a single-AP backhaul.
## Channel planning policy
Codified rules — these are constraints on the controller, not just defaults:
- Keep one anchor on a stable channel; observers distributed across the
least-congested channels.
- Rotate **one** observer at a time. Never change all nodes simultaneously.
- Pin `RV_PROFILE_RESP_HIGH_SENS` to the quietest stable channel for the
duration of a respiration window.
- Use a short active burst on a quiet channel for calibration, then return
to passive capture.
This generalizes the per-deployment policy in ADR-073 ("node 1: ch 1/6/11,
node 2: ch 3/5/9") into a controller-driven plan that the coordinator can
publish via `CHANNEL_PLAN`. IEEE 802.11bf is the standards direction this
points toward.
## Security & integrity
- Every `FEATURE_DELTA` carries node id, monotonic seq, ts_us, and CRC32
(IEEE polynomial), per the struct above.
- Every control message (`ROLE_ASSIGN`, `CHANNEL_PLAN`, `CALIBRATION_START`)
carries sender role, epoch, replay window index, and authorization class,
reusing the HMAC-SHA256 + 16-frame replay window from ADR-032
(`secure_tdm.rs`).
- Optional Ed25519 signature at session/batch granularity for signed
`CHANNEL_PLAN` and `CALIBRATION_START` messages, reusing the
ADR-040/RVF Ed25519 path already shipping in firmware.
## Reuse map (do not rewrite)
| Concern | Existing component |
|-----------------------------|----------------------------------------------------------------------------------------------------------|
| ADR-018 binary frame | `firmware/esp32-csi-node/main/csi_collector.c` (magic `0xC5110001`) |
| ESP32 CSI driver glue | `firmware/esp32-csi-node/main/csi_collector.c:225-303` |
| Channel hopping | `csi_collector_set_hop_table()` and `csi_collector_start_hop_timer()` |
| NDP injection | `csi_inject_ndp_frame()` (placeholder, sufficient for L1 binding) |
| TDM scheduling | `crates/wifi-densepose-hardware/src/esp32/tdm.rs` |
| Secure beacons | `crates/wifi-densepose-hardware/src/esp32/secure_tdm.rs` (HMAC + replay) |
| Edge intelligence (Tier 1/2)| `firmware/esp32-csi-node/main/edge_processing.c` (magic `0xC5110002`/`0xC5110005`) |
| Fused vitals | ADR-063 `edge_fused_vitals_pkt_t` (magic `0xC5110004`) |
| Swarm bridge | `firmware/esp32-csi-node/main/swarm_bridge.c` |
| WASM Tier 3 modules | `firmware/esp32-csi-node/main/wasm_runtime.c` (ADR-040) |
| Multistatic fusion | `crates/wifi-densepose-ruvector/src/viewpoint/fusion.rs` |
| Adaptive classifier | `crates/wifi-densepose-sensing-server/src/adaptive_classifier.rs:61-75` |
| Feature primitives (Rust) | `crates/wifi-densepose-signal/src/{motion.rs,features.rs,ruvsense/coherence.rs}` |
## Implementation status (2026-04-19)
This ADR ships **with** the initial implementation, not ahead of it.
Artifacts delivered alongside the ADR:
| Component | File | State |
|-----------------------------------------|-------------------------------------------------------------------------|-------------|
| L1 vtable + profile/mode/health enums | `firmware/esp32-csi-node/main/rv_radio_ops.h` | Implemented |
| L1 ESP32 binding | `firmware/esp32-csi-node/main/rv_radio_ops_esp32.c` | Implemented |
| L1 Mock (QEMU) binding | `firmware/esp32-csi-node/main/rv_radio_ops_mock.c` | Implemented |
| L2 Controller FreeRTOS plumbing | `firmware/esp32-csi-node/main/adaptive_controller.c` | Implemented |
| L2 Pure decision policy (testable) | `firmware/esp32-csi-node/main/adaptive_controller_decide.c` | Implemented |
| L3 Mesh-plane types + encoder/decoder | `firmware/esp32-csi-node/main/rv_mesh.{h,c}` | Implemented |
| L3 HEALTH emit (slow loop, 30 s) | `adaptive_controller.c:slow_loop_cb()` | Implemented |
| L3 ANOMALY_ALERT on state transition | `adaptive_controller.c:apply_decision()` | Implemented |
| L3 Role tracking + epoch monotonicity | `adaptive_controller.c` (`s_role`, `s_mesh_epoch`) | Implemented |
| L4 Feature state packet + helpers | `firmware/esp32-csi-node/main/rv_feature_state.{h,c}` | Implemented |
| L4 Emitter from fast loop (5 Hz) | `adaptive_controller.c:emit_feature_state()` | Implemented |
| L1 Packet yield + send-fail accessors | `csi_collector.c:csi_collector_get_pkt_yield_per_sec()` + send fail | Implemented |
| L5 Rust mirror trait + mesh decoder | `crates/wifi-densepose-hardware/src/radio_ops.rs` | Implemented |
| Host C unit tests (60 assertions) | `firmware/esp32-csi-node/tests/host/` | **60/60 ✓** |
| Rust unit tests (8 assertions) | `crates/wifi-densepose-hardware` (`radio_ops::tests`) | **8/8 ✓** |
| QEMU validator hooks (3 new checks) | `scripts/validate_qemu_output.py` (check 17/18/19) | Passing |
| L3 mesh RX path (receive + dispatch) | — | Phase 3.5 |
| Ed25519 signing for CHANNEL_PLAN etc. | — | Phase 3.5 |
| Hardware validation on COM7 | — | Pending |
## Measured performance
Host-side benchmarks (`firmware/esp32-csi-node/tests/host/`), x86-64,
gcc `-O2`, 2026-04-19. Numbers are illustrative of algorithmic cost on
a modern CPU; on-target ESP32-S3 Xtensa LX7 at 240 MHz is ~510×
slower for bit-by-bit CRC and broadly comparable for the decide
function after inlining.
| Operation | Cost per call | Notes |
|---------------------------------------------|---------------------|-------------------------------------|
| `adaptive_controller_decide()` | **3.2 ns** (host) | O(1) policy, 9 branches evaluated |
| `rv_feature_state_crc32()` (56 B hashed) | **612 ns** (host) | 87 MB/s — bit-by-bit IEEE CRC32 |
| `rv_feature_state_finalize()` (full) | **592 ns** (host) | CRC-dominated |
| `rv_mesh_encode_health()` + `_decode()` | **1010 ns** (host) | Full roundtrip, hdr+payload+CRC |
Projected on-target cost at 5 Hz cadence:
| Budget | Value |
|--------------------------------------------|---------------------|
| Controller fast-loop tick work (ESP32-S3) | < 10 μs (est.) |
| CRC32 per feature packet (ESP32-S3) | ~36 μs (est.) |
| Feature-state emit cost @ 5 Hz | ~30 μs/sec (0.003%) |
| UDP send cost (existing stream_sender) | — unchanged — |
**Bandwidth:**
| Mode | Rate |
|---------------------------------------------|-------------|
| Raw ADR-018 CSI (pre-ADR-081) | ~100 KB/s |
| ADR-039 compressed CSI (Tier 1) | ~5070 KB/s |
| ADR-039 vitals packet (32 B @ 1 Hz) | 32 B/s |
| **ADR-081 feature state (60 B @ 5 Hz)** | **300 B/s** |
**Memory:**
| Component | Static RAM |
|---------------------------------------------|---------------------|
| Controller state (s_cfg + s_last_obs + …) | ~80 bytes |
| Feature-state emit packet (stack, per tick) | 60 bytes |
| CRC lookup table | 0 (bit-by-bit) |
| Three FreeRTOS software timers | ~3 × 56 B overhead |
**Tests:**
| Suite | Assertions | Result |
|---------------------------------------------|-----------:|------------|
| `test_adaptive_controller` (host C) | 18 | **PASS** |
| `test_rv_feature_state` (host C) | 15 | **PASS** |
| `test_rv_mesh` (host C) | 27 | **PASS** |
| `radio_ops::tests` (Rust) | 8 | **PASS** |
| **Total** | **68** | **68/68** |
| QEMU validator (`ADR-061` pipeline) | +3 checks | hooked |
Cross-language parity: the Rust `crc32_ieee()` is verified against the
same known vectors used by the C test (`0xCBF43926` for `"123456789"`,
`0xD202EF8D` for a single zero byte), and the `mesh_constants_match_firmware`
test asserts `MESH_MAGIC`, `MESH_VERSION`, `MESH_HEADER_SIZE`, and
`MESH_MAX_PAYLOAD` match the C header byte-for-byte. Any drift between
the two implementations fails CI.
## New components this ADR authorizes
| New file | Purpose |
|-------------------------------------------------------------------------------------------|--------------------------------------------------------|
| `firmware/esp32-csi-node/main/rv_radio_ops.h` | `rv_radio_ops_t` vtable + profile/mode/health enums |
| `firmware/esp32-csi-node/main/rv_radio_ops_esp32.c` | ESP32 binding wrapping `csi_collector` + `esp_wifi_*` |
| `firmware/esp32-csi-node/main/rv_feature_state.h` | `rv_feature_state_t` packet + `RV_FEATURE_STATE_MAGIC` |
| `firmware/esp32-csi-node/main/adaptive_controller.h` | Controller API + observation/decision structs |
| `firmware/esp32-csi-node/main/adaptive_controller.c` | 200 ms / 1 s / 30 s loops, FreeRTOS task |
| `crates/wifi-densepose-hardware/src/radio_ops.rs` *(Phase 4 follow-up)* | Rust mirror trait for backend swapping |
## Roadmap
| Phase | Scope | Status |
|-------|--------------------------------------------|--------------------------------------------------|
| 1 | Single supported-CSI node + features → Rust | Largely done via ADR-018, ADR-039 |
| 2 | 3-node Seed v2 mesh + time-sync + plan | Partially done (ADR-029, ADR-066, ADR-073) |
| 3 | Adaptive controller, delta reporting, DEGRADED | **This ADR** authorizes the firmware skeleton |
| 4 | Cross-chipset bindings (Nexmon, custom) | Reserved; gated by Phase 3 stability |
## Acceptance criteria
1. **Portability gate.** A second `rv_radio_ops_t` binding (mock or
alternate chipset) compiles and runs the controller + mesh plane code
unchanged. The signal/ruvector/train/mat crates compile against a Rust
mirror trait without modification.
2. **Mesh resilience benchmark.** A 3-node prototype maintains stable
`presence_score` and `motion_score` when one observer changes channel
or drops out for 5 seconds.
3. **Default upstream is compact.** Raw ADR-018 CSI is off by default; the
default upstream is `rv_feature_state_t` at 110 Hz.
4. **Integrity.** Every `FEATURE_DELTA` carries node id, seq, ts_us, CRC32.
Every control message carries epoch + replay-window + authorization
class, verified against ADR-032's existing HMAC machinery.
## Consequences
### Positive
- The firmware hack is no longer the moat. The 5 layers are explicit and
separately testable.
- Default upstream bandwidth drops ~99% vs. raw ADR-018, making 50+ node
deployments practical.
- A documented vtable + Kconfig surface gates new features ("which layer
does this belong in?") instead of letting them accrete inline.
- Adaptive control of cadence, channel, and role becomes a first-class
firmware concern — the user-facing knob ("be smarter when busy, save
power when idle") finally has a home.
### Negative
- An abstraction tax on the single-chipset case: `rv_radio_ops_t` is a
vtable for a family currently of size 1.
- Adds ~58 KB SRAM for controller state and the new feature-state ring.
- Requires re-routing existing `swarm_bridge` traffic through the mesh
plane message types over time (incremental, not breaking).
### Neutral
- This ADR introduces no new dependencies, no new networking stacks, and
no new hardware requirements.
- ADR-039, ADR-063, ADR-066, ADR-069, ADR-073 are **not superseded**; they
are reframed as components of Layer 3 / Layer 4.
## Verification
```bash
# Host-side C unit tests (no ESP-IDF, no QEMU required)
cd firmware/esp32-csi-node/tests/host
make check
# → test_adaptive_controller: 18/18 pass, decide() = 3.2 ns/call
# → test_rv_feature_state: 15/15 pass, CRC32(56 B) = 612 ns/pkt
# → test_rv_mesh: 27/27 pass, HEALTH roundtrip = 1.0 µs
# Rust-side radio_ops trait + mesh decoder tests
cd v2
cargo test -p wifi-densepose-hardware --no-default-features --lib radio_ops
# → 8 passed; verifies MockRadio, CRC32 parity with firmware vectors,
# HEALTH encode/decode roundtrip, bad-magic/short/CRC rejection,
# and that MESH_MAGIC/VERSION/HEADER_SIZE match rv_mesh.h
# QEMU end-to-end (requires ESP-IDF + qemu-system-xtensa, see ADR-061)
bash scripts/qemu-esp32s3-test.sh
# → Validator now runs 19 checks; new ADR-081 checks 17/18/19 verify
# adaptive_ctrl boot line, rv_radio_mock binding registration, and
# slow-loop heartbeat.
# Full workspace
cargo test --workspace --no-default-features
```
## Related
ADR-018, ADR-028, ADR-029, ADR-030, ADR-031, ADR-032, ADR-039, ADR-040,
ADR-060, ADR-061, ADR-063, ADR-066, ADR-069, ADR-073, ADR-078.
@@ -0,0 +1,627 @@
# ADR-081: Gesture-Controlled Data Visualization
- **Status**: Proposed
- **Date**: 2026-04-07
- **Deciders**: ruv
- **Relates to**: ADR-079 (Camera Ground-Truth Training), ADR-029 (RuvSense Gesture Recognition), ADR-072 (WiFlow Architecture), ADR-076 (CNN Spectrogram Embeddings)
## Context
RuView can now track 17 COCO keypoints at 92.9% PCK@20 (ADR-079) and detect gestures
via DTW template matching (ADR-029). These capabilities exist independently — pose
estimation produces skeleton coordinates, and the UI displays static charts. There is no
system that connects hand/arm movements to interactive data exploration.
Gesture-controlled visualization would let users manipulate charts and graphs by waving
their hands in front of the ESP32 sensing zone — no mouse, no touchscreen, no wearable.
This is particularly valuable for:
- **Lab/cleanroom** — gloved hands can't use touchscreens
- **Kitchen/workshop** — dirty or wet hands
- **Presentations** — stand back and gesture at projected dashboards
- **Accessibility** — motor impairments that make mouse use difficult
- **Digital signage** — public displays without touch hardware
### Why Camera + CSI Fusion
Camera alone can do gesture control (e.g., Leap Motion, MediaPipe Hands). CSI alone can
detect coarse gestures (ADR-029). The fusion provides:
| Modality | Strengths | Weaknesses |
|----------|-----------|-----------|
| Camera (MediaPipe Hands) | 21 hand landmarks, finger-level precision, 30fps | Requires line of sight, lighting dependent, privacy concern |
| CSI (ESP32) | Through-wall, works in dark, privacy-preserving, $9 | Coarse spatial resolution, no finger tracking |
| **Fusion** | **Finger precision near camera + coarse tracking everywhere** | Requires both sensors during training |
The fusion model trains on camera + CSI pairs (like ADR-079), then deploys in two modes:
1. **Camera-assisted** — full precision when camera is available
2. **CSI-only** — reduced but functional gesture control without camera
## Decision
Build a gesture-to-visualization control system that maps hand/arm movements to chart
interactions using fused camera + CSI input.
### Gesture Vocabulary
#### Navigation Gestures (arm-level, CSI-detectable)
| Gesture | Motion | Chart Action | CSI Feasibility |
|---------|--------|-------------|-----------------|
| **Swipe left** | Open hand sweeps left | Pan chart left / previous dataset | High — clear directional motion |
| **Swipe right** | Open hand sweeps right | Pan chart right / next dataset | High |
| **Swipe up** | Open hand sweeps up | Scroll up / zoom out | High |
| **Swipe down** | Open hand sweeps down | Scroll down / zoom in | High |
| **Push forward** | Palm pushes toward screen | Select / drill into data point | Medium — depth motion harder |
| **Pull back** | Hand pulls away from screen | Back / zoom out | Medium |
| **Circular CW** | Hand circles clockwise | Increase value / rotate view | Medium — temporal pattern |
| **Circular CCW** | Hand circles counter-clockwise | Decrease value / rotate back | Medium |
| **Hold still** | Hand stationary 2+ seconds | Hover / show tooltip | High — absence of motion |
| **Both hands apart** | Arms spread outward | Expand / zoom into selection | High — bilateral motion |
| **Both hands together** | Arms move inward | Collapse / zoom out | High |
#### Precision Gestures (finger-level, camera-required)
| Gesture | Motion | Chart Action | Sensor |
|---------|--------|-------------|--------|
| **Pinch zoom** | Thumb + index spread/close | Continuous zoom | Camera only |
| **Point** | Index finger extended | Cursor position on chart | Camera only |
| **Grab** | Close fist | Grab and drag data point | Camera only |
| **Thumb up** | Thumbs up | Confirm / approve | Camera only |
| **Thumb down** | Thumbs down | Reject / undo | Camera only |
| **Two-finger rotate** | Two fingers twist | Rotate 3D visualization | Camera only |
| **Finger slider** | Index finger moves along axis | Adjust parameter value | Camera only |
### Architecture
```
┌──────────────────────────────────────────────────────────────────┐
│ Input Layer │
│ │
│ ESP32 CSI (UDP 5005) ──→ CSI Gesture Detector (DTW + WiFlow) │
│ ↓ │
│ Webcam (MediaPipe Hands) ──→ Hand Landmark Tracker (21 joints) │
│ ↓ │
│ Gesture Fusion Engine │
│ ├── CSI coarse: swipe/circle/hold │
│ ├── Camera fine: pinch/point/grab │
│ └── Confidence weighting by modality │
└──────────────────────────────────────────────────────────────────┘
┌──────────────────────────────────────────────────────────────────┐
│ Gesture Interpreter │
│ │
│ Raw gestures ──→ State Machine ──→ Chart Commands │
│ │
│ States: │
│ IDLE ──(motion detected)──→ TRACKING │
│ TRACKING ──(gesture matched)──→ ACTING │
│ ACTING ──(gesture complete)──→ COOLDOWN │
│ COOLDOWN ──(500ms)──→ IDLE │
│ │
│ Debounce: 200ms minimum gesture duration │
│ Cooldown: 500ms between consecutive gestures │
│ Confidence threshold: 0.7 for CSI, 0.9 for camera │
└──────────────────────────────────────────────────────────────────┘
┌──────────────────────────────────────────────────────────────────┐
│ Visualization Controller │
│ │
│ Chart Commands ──→ WebSocket ──→ UI │
│ │
│ Commands: │
│ { type: "pan", dx: -0.1, dy: 0 } │
│ { type: "zoom", factor: 1.2, center: [0.5, 0.5] } │
│ { type: "select", x: 0.45, y: 0.62 } │
│ { type: "rotate", angle: 15 } │
│ { type: "slider", axis: "x", value: 0.73 } │
│ { type: "hover", x: 0.45, y: 0.62 } │
│ { type: "back" } │
│ { type: "confirm" } │
│ { type: "reject" } │
└──────────────────────────────────────────────────────────────────┘
┌──────────────────────────────────────────────────────────────────┐
│ Visualization UI │
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Line Chart │ │ Bar Chart │ │ 3D Scatter │ │
│ │ (time │ │ (category │ │ (spatial │ │
│ │ series) │ │ compare) │ │ data) │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Heatmap │ │ Gauge │ │ Spectrogram │ │
│ │ (CSI grid) │ │ (vitals) │ │ (frequency) │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │
│ Visual feedback: gesture cursor overlay + action indicator │
│ Framework: D3.js / Observable Plot in existing UI │
└──────────────────────────────────────────────────────────────────┘
```
### Gesture Detection Pipeline
#### CSI Gesture Detection (arm-level)
Extends the existing DTW gesture classifier (ADR-029) with WiFlow pose input:
```
CSI [35, 20] ──→ WiFlow lite ──→ 17 keypoints ──→ Extract arm features:
- Wrist velocity (dx/dt, dy/dt)
- Elbow angle (shoulder-elbow-wrist)
- Bilateral symmetry (left vs right)
- Motion energy (frame differencing)
DTW template matching:
- 11 gesture templates
- Sliding window (1s)
- Top match + confidence
```
#### Camera Gesture Detection (finger-level)
Uses MediaPipe Hands (21 landmarks per hand, 30fps):
```
Webcam ──→ MediaPipe Hands ──→ 21 landmarks × 2 hands ──→ Extract:
- Finger states (extended/curled)
- Pinch distance (thumb-index)
- Grab state (all fingers curled)
- Point direction (index ray)
- Hand center velocity
Rule-based classifier:
- Pinch: thumb-index < 0.05
- Point: only index extended
- Grab: all fingers curled
- Thumbs up/down: thumb angle
```
#### Fusion Strategy
```
CSI confidence ──┐
├──→ Weighted fusion ──→ Final gesture + confidence
Camera conf ──┘
Rules:
- If both agree: confidence = max(csi_conf, cam_conf) + 0.1 * min(csi_conf, cam_conf)
- If only CSI: use CSI gesture, confidence *= 0.8
- If only camera: use camera gesture, confidence *= 0.95
- If conflict: prefer camera for fine gestures, CSI for coarse gestures
- Minimum confidence for action: 0.6
```
### Chart Interaction Mapping
#### Line Chart (Time Series)
| Gesture | Action | Parameters |
|---------|--------|-----------|
| Swipe left/right | Pan time axis | dx proportional to swipe speed |
| Pinch zoom | Zoom time axis | Continuous, centered on hand position |
| Both hands apart/together | Zoom (CSI-only alternative) | Binary zoom in/out |
| Point | Show tooltip at nearest data point | x from index finger position |
| Hold still | Sticky tooltip | Duration-based activation |
| Swipe up/down | Switch dataset / Y-axis scale | Discrete steps |
#### Bar Chart (Category Comparison)
| Gesture | Action | Parameters |
|---------|--------|-----------|
| Swipe left/right | Navigate categories | One category per swipe |
| Point | Highlight bar | Nearest bar to finger X position |
| Push forward | Select bar for drill-down | Depth gesture |
| Grab + drag | Reorder bars | Camera-only |
| Circular | Sort ascending/descending | Direction determines order |
#### 3D Scatter Plot
| Gesture | Action | Parameters |
|---------|--------|-----------|
| Swipe left/right | Rotate Y axis | Angle proportional to speed |
| Swipe up/down | Rotate X axis | Angle proportional to speed |
| Two-finger rotate | Rotate Z axis | Camera-only |
| Pinch zoom | Zoom | Camera-only |
| Both hands apart | Zoom in (CSI alternative) | Binary |
| Point | Highlight nearest point | Ray-cast from finger direction |
#### Heatmap (CSI Grid)
| Gesture | Action | Parameters |
|---------|--------|-----------|
| Swipe | Pan view | dx, dy |
| Pinch | Zoom region | Center + scale |
| Hold | Show cell value | Position-based |
| Circular | Adjust color scale range | CW = expand, CCW = contract |
#### Gauge (Vital Signs)
| Gesture | Action | Parameters |
|---------|--------|-----------|
| Swipe left/right | Switch vital (HR → BR → SpO2) | Discrete |
| Circular CW | Set high alert threshold | Continuous |
| Circular CCW | Set low alert threshold | Continuous |
| Thumb up | Acknowledge alert | Binary |
### Visual Feedback: AR Camera Overlay
The primary view is the **live camera feed with AR overlays** — the person is visible
with charts, skeleton, and data rendered on top. This creates a "Minority Report" style
interface where you see yourself manipulating data in real-time.
```
┌──────────────────────────────────────────────────────────────┐
│ │
│ ╔══════════════════════════════════════════════════════════╗ │
│ ║ ║ │
│ ║ [Live Camera Feed — person visible] ║ │
│ ║ ║ │
│ ║ ╭─────╮ ║ │
│ ║ │ │ ← skeleton overlay (17 keypoints) ║ │
│ ║ ╰──┬──╯ ║ │
│ ║ ╱ ╲ ║ │
│ ║ ╱ ╲ ┌──────────────────────┐ ║ │
│ ║ │ │ │ CSI Amplitude Chart │ ║ │
│ ║ │ 🖐→ │ │ ┌─╮ ╭─╮ ╭──╮ │ ║ │
│ ║ │ │ │ │ ╰─╯ ╰───╯ │ │ ║ │
│ ║ ╲ ╱ │ │ │ │ ║ │
│ ║ ╲ ╱ └──────────────────────┘ ║ │
│ ║ │ │ ↑ chart follows hand position ║ │
│ ║ ╱ ╲ ║ │
│ ║ ╱ ╲ ║ │
│ ║ ║ │
│ ╚══════════════════════════════════════════════════════════╝ │
│ │
│ ┌──────────────────────────────────────────────────────────┐ │
│ │ LOWER THIRD │ │
│ │ ┌────┐ │ │
│ │ │ pi │ RuView Sensing HR: 72 BPM BR: 16 BPM │ │
│ │ │ │ v0.7.0 Presence: 1 Motion: 0.23 │ │
│ │ └────┘ │ │
│ │ [logo] [gesture: Swipe Right] [CSI ●] [CAM ●] [28fps]│ │
│ └──────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────┘
```
#### AR Overlay Layers (bottom to top)
| Layer | Content | Opacity | Update Rate |
|-------|---------|---------|-------------|
| 0 | Live camera feed (full frame) | 100% | 30fps |
| 1 | Skeleton overlay (17 keypoints + bones) | 70% | 30fps |
| 2 | Gesture cursor (hand position + state) | 90% | 30fps |
| 3 | Floating chart (anchored to hand/body region) | 85% | 30fps |
| 4 | Data labels + tooltips | 95% | On gesture |
| 5 | Lower third (RuView branding + vitals + status) | 95% | 1fps |
#### Floating Chart Placement
Charts are **anchored to the person's body** and follow movement:
```
Placement rules:
- Default: chart floats to the right of the person's dominant hand
- If hand moves left: chart slides to left side
- Chart stays within frame bounds (never clips off-screen)
- Multiple charts: stack vertically with 10% gap
- Inactive charts: shrink to thumbnail and anchor near shoulder
Chart anchor point = wrist_position + offset(0.15, -0.1) // right and slightly above hand
Chart size: 30% of frame width × 20% of frame height
```
#### Lower Third Design
The lower third bar provides persistent status in broadcast-style framing:
```
┌──────────────────────────────────────────────────────────────┐
│ ┌──────┐ │
│ │ pi │ RuView Sensing v0.7.0 │
│ │ │ ────────────────────────────────────────────── │
│ │ logo │ HR: 72 BPM | BR: 16 BPM | Persons: 1 │
│ └──────┘ Motion: Low | Gesture: Swipe Right | 28fps │
│ [CSI ●] [CAM ●] [FUSE] PCK@20: 92.9% │
└──────────────────────────────────────────────────────────────┘
Design:
- Background: semi-transparent dark (#1a1a2e, 80% opacity)
- Logo: RuView "pi" icon (32x32px), left-aligned
- Text: white (#ffffff) primary, gray (#a0a0a0) secondary
- Accent: teal (#00d4aa) for active indicators
- Height: 15% of frame
- Font: system monospace for data, sans-serif for labels
- Divider: thin teal line separating logo from data
```
#### RuView Logo Placement
```
The "pi" logo appears in two contexts:
1. Lower third (persistent):
- Position: bottom-left corner, 12px padding
- Size: 32x32px
- Style: white outline on dark background
- Always visible during gesture mode
2. Watermark (optional):
- Position: top-right corner, 8px padding
- Size: 24x24px, 30% opacity
- Style: subtle, doesn't interfere with data
```
#### Skeleton Rendering Style
```
Keypoint rendering:
- Detected joints: teal circles (#00d4aa), radius 6px
- Low-confidence joints: gray circles (#666), radius 4px
- Active hand (gesturing): yellow highlight (#ffcc00), radius 8px, glow effect
Bone rendering:
- Normal bones: teal lines (#00d4aa), 2px stroke
- Active arm (gesturing): yellow lines (#ffcc00), 3px stroke, glow
- Torso: slightly thicker (3px) to anchor the skeleton visually
Style: dark-theme friendly, high contrast against camera feed
```
**Cursor types:**
- **Open hand** — teal ring around wrist, rays extending from fingers
- **Pointing** — teal ray from index finger toward chart
- **Grabbing** — yellow fist icon, chart border highlights
- **Pinching** — two teal dots (thumb + index) with distance line
- **Ghost cursor** — CSI-only mode: larger, more diffuse circle (no finger detail)
### Data Flow Protocol
WebSocket messages from gesture engine to UI:
```typescript
interface GestureEvent {
type: 'gesture';
gesture: 'swipe_left' | 'swipe_right' | 'swipe_up' | 'swipe_down'
| 'pinch_zoom' | 'point' | 'grab' | 'hold' | 'circle_cw'
| 'circle_ccw' | 'push' | 'pull' | 'spread' | 'contract'
| 'thumb_up' | 'thumb_down';
confidence: number; // 0-1
source: 'csi' | 'camera' | 'fusion';
position?: [number, number]; // Normalized [0,1] hand position
velocity?: [number, number]; // Hand velocity for proportional control
param?: number; // Gesture-specific parameter (pinch distance, rotation angle)
}
interface CursorEvent {
type: 'cursor';
x: number; // 0-1 normalized
y: number; // 0-1 normalized
state: 'tracking' | 'pointing' | 'grabbing' | 'pinching' | 'idle';
hands: number; // 0, 1, or 2
}
interface StatusEvent {
type: 'status';
csi_active: boolean;
camera_active: boolean;
mode: 'fusion' | 'csi_only' | 'camera_only';
fps: number;
gesture_count: number; // Total gestures detected this session
}
```
### Training the CSI Gesture Model
Extends ADR-079's camera ground-truth pipeline:
```bash
# 1. Collect gesture training data (camera + CSI, 10 min)
# Perform each gesture 20+ times with natural variation
python scripts/collect-gesture-gt.py --duration 600 --gestures all --preview
# 2. Label gesture segments (auto-detected from camera)
node scripts/label-gestures.js \
--gt data/ground-truth/gestures-*.jsonl \
--csi data/recordings/csi-*.jsonl
# 3. Train gesture classifier
node scripts/train-gesture-model.js \
--data data/gestures/labeled-*.jsonl \
--scale lite
# 4. Deploy
# CSI-only mode: gestures detected from WiFlow keypoint motion
# Fusion mode: camera adds finger-level precision
```
**Training data per gesture:** ~20 examples × 11 gestures = 220 labeled samples.
With augmentation (time warp, amplitude noise): ~1,000 effective samples.
### Optimization: ruvector-cnn Spectrogram Gesture Classification
Replace DTW template matching with a CNN operating on CSI spectrograms via the
`ruvector-cnn` WASM package (ADR-076). This treats each gesture as an image
classification problem on the CSI time-frequency representation.
#### Why CNN Over DTW
| | DTW (current, ADR-029) | CNN Spectrogram (proposed) |
|---|---|---|
| Input | 1D keypoint trajectories | 2D CSI spectrogram image |
| Features | Hand-crafted (wrist velocity, elbow angle) | Learned end-to-end |
| Robustness | Sensitive to speed variation | Warp-invariant (pooling layers) |
| Multi-scale | Single scale | Hierarchical (dilated convolutions) |
| Training | Template recording + DTW distance | Supervised from camera labels |
| New gestures | Record new template | Retrain (or few-shot with embedding) |
| Accuracy | ~85% (DTW literature) | ~95%+ (CNN on spectrograms, literature) |
#### Pipeline
```
CSI [N_subcarriers, T=30] (1-second window)
Spectrogram transform: STFT per subcarrier
→ [N_sub, F_bins, T_bins] ≈ [35, 16, 15]
Reshape to grayscale image: [35×16, 15] = [560, 15]
→ Resize to [64, 64] (bilinear)
ruvector-cnn CnnEmbedder (WASM-accelerated)
→ 128-dim gesture embedding
Classifier head: Linear(128 → 18 gestures) + softmax
→ gesture_id + confidence
```
#### ruvector-cnn Integration
The `@ruvector/cnn` WASM package provides:
```javascript
const { init, CnnEmbedder, InfoNCELoss } = require('@ruvector/cnn');
await init();
// Create embedder for 64x64 CSI spectrogram "images"
const embedder = new CnnEmbedder({
inputSize: 64,
embeddingDim: 128,
normalize: true,
});
// Extract embedding from CSI spectrogram
const spectrogram = csiToSpectrogram(csiWindow); // [64, 64] Uint8Array
const embedding = embedder.extract(spectrogram, 64, 64);
// Classify gesture via nearest-neighbor to trained templates
const gesture = classifyGesture(embedding, gestureTemplates);
```
#### Training with Contrastive + Classification
Two-phase training using ruvector-cnn's built-in losses:
**Phase 1: Contrastive embedding (unsupervised)**
```javascript
const loss = new InfoNCELoss(0.07);
// Same gesture performed at different speeds → positive pairs
// Different gestures → negative pairs
// Train CnnEmbedder to cluster same-gesture spectrograms
```
**Phase 2: Gesture classification (supervised)**
```javascript
// Linear classifier on frozen embeddings
// 18 gestures × 20 examples each = 360 labeled samples
// Camera auto-labels: MediaPipe Hands detects gesture type
```
#### Dual-Path Architecture
Run both CNN and DTW in parallel for maximum robustness:
```
CSI input ──┬──→ WiFlow → keypoints → DTW templates → gesture_A (conf_A)
└──→ Spectrogram → ruvector-cnn → embedding → classifier → gesture_B (conf_B)
Fusion: if gesture_A == gesture_B → conf = max(conf_A, conf_B) + 0.15
if conflict → pick higher confidence
if only one detects → use it at 0.8× confidence
```
This dual-path approach provides:
- **DTW** catches gestures the CNN might miss (novel variations)
- **CNN** provides higher accuracy for trained gesture types
- **Fusion** reduces false positives (both must agree for high-confidence)
### Optimization: Temporal Gesture Encoding
Alternative lightweight path for when ruvector-cnn WASM overhead matters
(e.g., ESP32 edge deployment):
```
Keypoint sequence [T=30 frames, 1 second]:
wrist_x[0..29], wrist_y[0..29],
elbow_angle[0..29],
hand_velocity[0..29]
1D CNN (k=5, d=[1,2,4]) → 64-dim gesture embedding
Nearest-neighbor to gesture templates (cosine distance)
Top gesture + confidence
```
This is lighter than DTW for real-time use and can be trained end-to-end with
the WiFlow backbone (shared TCN features).
## File Structure
```
scripts/
collect-gesture-gt.py # Camera + CSI gesture data collection
label-gestures.js # Auto-label gesture segments from camera
train-gesture-model.js # Train CSI gesture classifier
gesture-server.js # WebSocket gesture detection server
ui/
components/
GestureOverlay.js # Cursor + feedback overlay
GestureChart.js # Gesture-controlled chart wrapper
GestureStatus.js # Sensor health bar
services/
gesture.service.js # WebSocket client for gesture events
```
## Consequences
### Positive
- **Hands-free data exploration** — manipulate charts without touching anything
- **Works in dark/dirty/gloved conditions** — CSI-only mode needs no camera
- **Natural interaction** — swipe, pinch, point are intuitive
- **Builds on existing infrastructure** — WiFlow + DTW + MediaPipe all exist
- **Dual-mode deployment** — degrade gracefully from fusion to CSI-only
- **Low latency** — WiFlow inference is 0.79ms, gesture detection adds ~5ms
### Negative
- **Learning curve** — users must learn gesture vocabulary
- **False positives** — normal movement may trigger gestures (mitigated by state machine + cooldown)
- **CSI-only precision** — coarse gestures only without camera
- **Single-user** — multi-user gesture disambiguation is hard
### Risks
| Risk | Probability | Impact | Mitigation |
|------|-------------|--------|------------|
| Gesture false positives from normal movement | Medium | High | State machine with IDLE→TRACKING threshold, 200ms debounce, 0.7 confidence gate |
| CSI gestures too coarse for chart control | Medium | Medium | Camera fallback for precision; CSI handles navigation-level gestures only |
| Latency > 100ms feels unresponsive | Low | High | WiFlow 0.79ms + gesture 5ms + WebSocket <10ms = ~16ms total |
| User fatigue ("gorilla arm") | Medium | Medium | Support seated gestures; small wrist movements, not full arm sweeps |
| MediaPipe Hands not detecting in low light | Medium | Low | CSI-only fallback; works in complete darkness |
## Implementation Plan
| Phase | Task | Effort | Dependencies |
|-------|------|--------|-------------|
| P1 | `gesture-server.js` — WebSocket server with camera hand tracking | 3 hrs | MediaPipe Hands model |
| P2 | Camera gesture classifier (rule-based from hand landmarks) | 2 hrs | P1 |
| P3 | CSI gesture classifier (WiFlow keypoints → DTW templates) | 3 hrs | WiFlow model (ADR-079) |
| P4 | Fusion engine (confidence-weighted merge) | 2 hrs | P2 + P3 |
| P5 | `GestureOverlay.js` — cursor + feedback UI component | 2 hrs | P1 |
| P6 | `GestureChart.js` — gesture-controlled D3 chart wrapper | 4 hrs | P4 + P5 |
| P7 | Gesture training data collection + model training | 2 hrs | P3 |
| P8 | Integration with existing sensing UI | 2 hrs | P6 |
| **Total** | | **~20 hrs** | |
## References
- MediaPipe Hands — Google's 21-landmark hand tracking (30fps, CPU)
- ADR-029 — RuvSense DTW gesture recognition
- ADR-079 — Camera ground-truth training pipeline (92.9% PCK@20)
- Leap Motion — commercial gesture controller (comparison point)
- SolidJS/D3 gesture interaction patterns
- "GestureWiFi" (IEEE 2023) — WiFi gesture recognition survey
@@ -1,185 +0,0 @@
# ADR-082: Pose Tracker Confirmed-Track Output Filter
| Field | Value |
|-------------|-----------------------------------------------------------------------|
| **Status** | Accepted — implemented in commit landing this ADR |
| **Date** | 2026-04-25 |
| **Authors** | ruv |
| **Issue** | [#420 — "24 ghost people in the UI with 3× ESP32-S3 nodes"](https://github.com/ruvnet/RuView/issues/420) |
| **Depends** | ADR-026 (track lifecycle), ADR-024 (AETHER re-ID embeddings) |
## Context
Multiple users running the Rust sensing server with 3 ESP32-S3 nodes have
reported the same symptom: the live UI renders 2224 phantom skeletons that
flicker at high rate, while `GET /api/v1/sensing/latest` correctly reports
`estimated_persons: 1`. The problem is reproducible across both Docker and
native deployments and is independent of the firmware MGMT-only mitigation
shipped for #396.
The two-number contradiction (1 in the snapshot, ~24 in the WebSocket stream)
narrows the bug to the path that produces `update.persons`. That path is
`tracker_bridge::tracker_update``tracker_bridge::tracker_to_person_detections`
→ WebSocket frame.
### Pose tracker lifecycle (per ADR-026)
`signal::ruvsense::pose_tracker::TrackLifecycleState` has four states:
```
Tentative -> Active -> Lost -> Terminated
```
The state machine and its predicates:
| State | `is_alive()` | `accepts_updates()` | Meaning |
|--------------|--------------|---------------------|---------|
| `Tentative` | true | true | New detection, < 2 confirmed hits |
| `Active` | true | true | Confirmed track, currently observed |
| `Lost` | **true** | false | Confirmed track, missed `loss_misses` updates, still inside `reid_window` |
| `Terminated` | false | false | Removed on next `prune_terminated()` |
`PoseTracker::active_tracks()` filters by `is_alive()`, which means it returns
`Tentative Active Lost` — every track that has not yet been Terminated.
### Root cause
`crates/wifi-densepose-sensing-server/src/tracker_bridge.rs` exposes the
tracker output to the WebSocket stream via:
```rust
/// Convert active PoseTracker tracks back into server-side PersonDetection values.
///
/// Only tracks whose lifecycle `is_alive()` are included.
pub fn tracker_to_person_detections(tracker: &PoseTracker) -> Vec<PersonDetection> {
tracker
.active_tracks()
.into_iter()
.map(|track| { /* ... */ })
.collect()
}
```
The doc comment is correct as a description of `is_alive()`, but `is_alive()`
is the wrong gate for *rendering*. `Lost` tracks have not received a
measurement in `loss_misses` ticks; they are kept around only so the
re-identification machinery can attempt to match them when a similar
detection reappears within `reid_window`. They are not currently observed and
must not appear as live skeletons in the UI.
With 3 ESP32-S3 nodes streaming CSI at ~10 Hz each, `derive_pose_from_sensing`
emits a per-node detection every tick. Detections that fall outside the
Mahalanobis gate (cost ≥ 9.0) cannot match an existing track, so a new
`Tentative` track is created and the previous one ages into `Lost`. With
`reid_window ≈ 30` ticks (~3 s at 10 Hz), up to 30 ticks × 3 nodes ≈ 90
phantom Lost tracks can co-exist before any of them reach `Terminated`.
The actually-observed-now person is one of them; the other ~2289 are ghosts.
The snapshot endpoint `/api/v1/sensing/latest` reads `estimated_persons` from
the multistatic eigenvalue counter (`signal::ruvsense::field_model`), which
operates on the CSI data directly and reports 1. The WebSocket stream reads
`update.persons`, which is the unfiltered `is_alive()` set — hence the
22-vs-1 mismatch.
This is a documentation/implementation discrepancy in `tracker_bridge`, not a
flaw in the lifecycle state machine itself.
## Decision
Introduce a **confirmed-track filter** at the bridge boundary that returns
only tracks the UI is meant to render:
* `Active` — confirmed and currently observed; always render.
* `Tentative` — confirmed for the *current* tick (created or matched this
cycle); render so first-frame visibility latency stays at one tick.
* `Lost`**never** render. They exist only to support re-ID over the
`reid_window` and have, by definition, not been observed for at least
`loss_misses` ticks.
* `Terminated` — never render (already excluded by `is_alive()`).
### Naming
Add `PoseTracker::confirmed_tracks()` — the name reflects "tracks the system
is currently confirming a person is present at this position." Keep
`active_tracks()` unchanged so callers that legitimately need the re-ID set
(re-identification, soft-confidence overlays, debug UIs) still have it.
The bridges public surface stays the same; only the internal accessor
swaps. WebSocket consumers see the corrected `update.persons` automatically.
### Why include `Tentative`
A walking persons first detection lands in `Tentative` until two consecutive
hits arrive (~0.1 s at 10 Hz). Excluding `Tentative` makes the UI
under-render by one tick on every entry; the gain (filtering out spurious
single-detection ghosts) is real but small relative to the much larger Lost
problem and isnt worth the visible latency. If single-tick ghosts become
the dominant complaint after this ADR ships, escalate to `Active`-only and
revisit `birth_hits` calibration.
## Consequences
### Positive
* `update.persons.length` matches `estimated_persons` within ±1 (Tentative
vs. Active hand-off frame) under steady state. #420 closed.
* No change to the lifecycle state machine, no change to `reid_window` or
`loss_misses`, no change to the WebSocket schema. Pure filter at egress.
* `PoseTracker::active_tracks()` keeps its semantics for re-ID consumers;
this avoids breaking ADR-024 (AETHER) call sites.
### Negative / risks
* Existing test `test_tracker_update_stable_ids` exercises three sequential
identical-person updates and asserts the ID is stable across all three.
Filtering Lost out doesnt affect it (the track stays in `Tentative`
`Active`, never Lost during the test). Confirmed by reading the test;
no regression expected.
* Single-tick `Tentative` exposure means very-spurious one-frame detections
*can* still flicker briefly. Acceptable trade-off as discussed above.
### Neutral
* `prune_terminated()` and the existing transition logic
(`predict_all``mark_lost``terminate`) are unchanged.
## Implementation
1. **`signal::ruvsense::pose_tracker`** — add:
```rust
/// Tracks the UI is meant to render: Tentative + Active.
/// Excludes Lost (re-ID candidates) and Terminated.
pub fn confirmed_tracks(&self) -> Vec<&PoseTrack> {
self.tracks
.iter()
.filter(|t| matches!(
t.lifecycle,
TrackLifecycleState::Tentative | TrackLifecycleState::Active
))
.collect()
}
```
2. **`sensing-server::tracker_bridge`** — change
`tracker_to_person_detections` to call `tracker.confirmed_tracks()` and
update the doc comment to describe the new contract.
3. **Regression test** in `tracker_bridge.rs::tests`:
* Drive a track to `Active` over two updates.
* Submit empty detections for `loss_misses + 1` predict cycles to push
the track to `Lost`.
* Assert `tracker_update(... empty ...)` returns an empty `Vec`.
4. **Validation**: workspace tests + ESP32-S3 on COM7 streaming round-trip.
## Validation
* `cargo test --workspace --no-default-features` — must stay green
(≥ 1,538 passed, 0 failed; new regression test adds one).
* Live verification on ESP32 setup: WebSocket `update.persons.length`
must equal `estimated_persons` ± 1 in steady state.
## Related
* ADR-026 — Track lifecycle state machine (this ADR doesnt change it)
* ADR-024 — AETHER re-ID embeddings (uses `active_tracks()`, unchanged)
* PR #425 — Workspace `--no-default-features` build fix (unrelated, just
the prior PR on this branch line)
* Issue #420 — original report
@@ -1,245 +0,0 @@
# ADR-083: Per-Cluster Pi Compute Hop
| Field | Value |
|----------------|--------------------------------------------------------------------------------------|
| **Status** | Proposed — pending field evidence on three-tier proposal scope |
| **Date** | 2026-04-26 |
| **Authors** | ruv |
| **Supersedes** | — |
| **Refines** | ADR-028 (capability audit), ADR-081 (5-layer kernel), ADR-066 (swarm bridge) |
| **Companion** | `docs/research/architecture/three-tier-rust-node.md`, `docs/research/architecture/decision-tree.md`, `docs/research/sota/2026-Q2-rf-sensing-and-edge-rust.md` |
## Context
ADR-028 established the per-node BOM at ~$9 (ESP32-S3 8MB) — ~$15 with a
mmWave sensor — and ADR-081 framed the firmware as a 5-layer adaptive
kernel running entirely on a single ESP32-S3 die. Both decisions are
correct for the **per-node** dimension; deployments that fit the
"sensor talks UDP to a server somewhere" shape work fine on this stack.
The three-tier-node research exploration
(`docs/research/architecture/three-tier-rust-node.md`) raised a separate
question: **what changes when a deployment scales past one or two rooms,
and where should the heavy compute live?** The exploration's answer
("dual ESP32-S3 + Pi Zero 2W per node") is one shape, but the
companion decision-tree (`decision-tree.md` §1, §3 L3, §5) identifies a
materially cheaper path: keep today's single-S3 sensor node unchanged
and add **one Pi per cluster of 36 sensor nodes**. The 2026-Q2 SOTA
survey (`sota/2026-Q2-rf-sensing-and-edge-rust.md`) confirms that the
load this path needs to carry — model inference, QUIC backhaul, and a
real secure-boot story — fits comfortably on a Pi-class SoC, while the
load it doesn't need to carry — CSI capture, ISR-precise wake control —
is exactly what the ESP32-S3 already does well.
The three things this ADR is about, all of which the current single-S3
deployment shape pushes onto the cloud or onto every individual node:
1. **Per-deployment ML inference.** WiFlow / DT-Pose / GraphPose-Fi
class models (410M params, 0.51.5 GFLOPs) want a Cortex-A53-class
target. The ESP32-S3 cannot host these; the cloud can but only at
the cost of round-trip latency. A per-cluster Pi inference hop is
the natural home.
2. **QUIC backhaul.** `quinn` + `rustls` is mature on Linux but does
not run on ESP32-class hardware in any production-grade form
(SOTA §5). A Pi terminating QUIC for a cluster gives every sensor
node QUIC's loss/handoff/multiplex properties without porting QUIC
to the MCU.
3. **Secure-boot anchor for OTA.** ESP-IDF Secure Boot V2 covers each
sensor node, but cluster-wide policy (which model is current, which
sensor MCU image is canary, what is the rollout ring) needs a
higher-trust local store. A Pi running buildroot + dm-verity +
signed FIT is a defensible anchor without the BOM hit of CM4 / Pi 5
(the latter is its own decision; see ADR-085 sketch below and
decision-tree.md L6).
The cluster-Pi shape does **not** require any change to ADR-028 or
ADR-081. The sensor node continues to be a single-MCU ESP32-S3 running
the 5-layer kernel. Everything new lives at the cluster boundary.
## Decision
Adopt **a per-cluster Pi hop** as the canonical RuView mid-scale
deployment shape. A "cluster" is **36 ESP32-S3 sensor nodes within
WiFi mesh range of one Pi**.
Specifically:
1. **Sensor nodes are unchanged.** They continue to run the ADR-081
5-layer kernel on a single ESP32-S3, emit `rv_feature_state_t`
packets (60 byte, ~5 Hz, ~300 B/s) over UDP, and connect via
ESP-WIFI-MESH or direct WiFi to the cluster Pi.
2. **Each cluster has exactly one Pi** acting as:
- **Sensor aggregator**: ingests UDP from all cluster sensor
nodes, runs feature-level fusion (multistatic + viewpoint
attention from the existing `wifi-densepose-ruvector` crate).
- **ML inference target**: hosts the WiFi-pose model and runs
inference at the cluster boundary, not on each sensor MCU.
- **QUIC client to the cloud / gateway**: terminates QUIC mTLS,
batches cluster-level events.
- **OTA + secure-boot anchor for its sensor nodes**: holds signed
manifests, stages canary rollouts, owns provisioning state.
3. **Cluster Pi SoC choice is deferred** to a future ADR (sketched
below as ADR-085). The acceptable candidates are Pi Zero 2W, Pi 4,
Pi 5, and CM4. The decision tree's L6 distinguishes these by
secure-boot threat model; this ADR does not pre-commit.
4. **The single-node deployment shape is not deprecated.** A
home-lab / single-room / development deployment can still run a
single ESP32-S3 talking UDP directly to the existing
`wifi-densepose-sensing-server`, no Pi required. The cluster Pi
becomes the recommended shape for fleets ≥ 3 sensor nodes.
### Boundary contract
The cluster Pi exposes two interfaces:
| Interface | Direction | Schema |
|------------------------|-------------------|-----------------------------------------------------------------------|
| **UDP `rv_feature_state_t` ingest** | sensor → Pi | Existing 60-byte packed struct from ADR-081 (magic `0xC5110006`) |
| **QUIC mTLS uplink** | Pi → gateway/cloud | New: cluster-level event envelope (CBOR), batched, ~10 KB/min upper bound |
Sensor → Pi is **the same wire as today's sensor → server**. Cluster Pi
uplink is **new** and is what the existing `wifi-densepose-sensing-server`
becomes — relocated from the user's laptop / container to the cluster
node. Concretely: the sensing server already exists in
`crates/wifi-densepose-sensing-server`; it cross-compiles to ARMv7 /
AArch64 today via `cargo build --target aarch64-unknown-linux-gnu`. The
relocation is a deployment change, not a re-implementation.
### Three-tier vs cluster hop
This ADR's cluster-Pi shape is the L3-hybrid path in
`decision-tree.md` §2 — **not** the full three-tier (dual-MCU + per-node
Pi) shape. It captures most of the value (ML, QUIC, secure-boot anchor)
at minimal BOM impact. The full three-tier shape remains the long-term
exploration target, blocked behind L4 (no_std CSI maturity) and L2
(per-node ISR-jitter evidence).
## Consequences
### Positive
- **Pose-grade ML on edge becomes deployable**, not just possible. A
Pi (any of the eligible SoCs) hosts WiFlow-class models with
≤ 100 ms latency per cluster, vs ≥ 1 s round-trip if pose runs in the
cloud (SOTA §1, §3).
- **QUIC arrives without an MCU port.** `quinn` + `rustls` runs on the
Pi as it does on a server (SOTA §5). The sensor MCU keeps UDP — the
cheapest, highest-tested wire it already speaks.
- **Cluster-level secure boot becomes coherent.** Per-sensor Secure
Boot V2 + flash encryption (ADR-028 baseline) is unchanged. The Pi
buildroot + dm-verity image is the cluster trust anchor and signs
the OTA manifests for its sensors. The cluster-level threat model is
expressible without per-sensor BOM regression.
- **No PCB respin.** Sensor nodes are bit-for-bit identical to today's
ADR-028 baseline. The cluster Pi is a separate device on the cluster
WiFi (and / or Ethernet, if available).
- **Deployment cost scales sub-linearly with sensor count.** One
$25$60 Pi per 36 sensor nodes adds ~$5$20 per sensor amortized,
vs ~$25$50 per sensor for the per-node-Pi shape.
### Negative
- **The cluster Pi is a new piece of infrastructure to provision,
monitor, and update.** It is the right place for cluster-level
responsibilities, but it is not free; it adds a Linux box to every
multi-room deployment. Mitigated by buildroot images and the
existing OTA tooling story (see Implementation §4).
- **Cluster Pi failure takes the cluster offline** (sensor nodes
cannot uplink without a working aggregator on the WiFi LAN). For
high-availability deployments, this ADR is the floor; an HA-pair
cluster Pi would be a follow-up.
- **One more network hop on the sensing path.** Sensor → Pi → cloud
adds ~520 ms over Sensor → cloud (depending on link quality).
Pose latency budgets are 100s of ms, so this is well inside spec.
### Neutral
- ADR-028 (capability audit), ADR-081 (5-layer kernel), and ADR-066
(swarm bridge) are unchanged. This ADR adds a new device class above
the sensor; it does not modify the sensor itself.
- The home-lab single-node shape continues to work; this ADR adds a
recommended path for fleets, it does not deprecate the existing one.
## Implementation
The implementation is intentionally light because most of the pieces
already exist; the ADR is largely about formalizing where they live.
1. **Cluster-Pi cross-compile target.** Add to
`rust-port/wifi-densepose-rs/.cargo/config.toml` (or the equivalent
per-crate target spec) an `aarch64-unknown-linux-gnu` target so
`wifi-densepose-sensing-server` builds for Pi 4 / 5 / CM4 by
default. Also retain `armv7-unknown-linux-gnueabihf` for Pi Zero 2W
compatibility while the Pi-SoC decision (ADR-085 sketch) is open.
2. **Cluster-Pi service unit.** Add a systemd unit file under
`firmware/cluster-pi/` (new directory) that runs
`wifi-densepose-sensing-server` with the cluster's UDP/QUIC ports
and drops privileges. Buildroot integration is a separate ADR if
the SoC choice goes to Pi Zero 2W (where there's no RPi-OS path).
3. **QUIC uplink module.** Add `wifi-densepose-sensing-server` a
feature-gated `quic-uplink` module using `quinn` + `rustls`. The
feature is **off by default** in the home-lab shape and on for the
cluster Pi.
4. **OTA + signed-manifest flow.** Out of scope for this ADR; tracked
as I4 in `decision-tree.md` §4. The cluster Pi's role is to *hold*
the manifest store, not to define the manifest format. Use the
existing ADR-066 swarm bridge channel for OTA staging.
5. **Documentation update.** README's hardware-table gains a
"Cluster compute" row. CLAUDE.md gets a one-paragraph cluster-Pi
section under Architecture. User-guide gets a cluster-deployment
section.
6. **Validation.** A 3-sensor cluster + 1 Pi fixture in the lab.
Pass criteria: end-to-end CSI → cluster fusion → cloud ingest;
measured latency under 100 ms per cluster; cluster Pi reboot
without sensor data loss > 5 s; OTA staging round-trip across all
sensors in the cluster.
## Validation
This ADR is **proposed**, not accepted. Acceptance requires:
1. The cluster-Pi `wifi-densepose-sensing-server` cross-compiles
cleanly on `aarch64-unknown-linux-gnu` and `armv7-unknown-linux-gnueabihf`
targets with the existing workspace tests passing.
2. A 3-sensor + 1-Pi field test demonstrates ≥ 4 hours stable
end-to-end CSI → fusion → cloud round-trip with latency
≤ 100 ms per cluster and zero phantom-skeleton regressions
(ADR-082 holds across the new uplink).
3. The cluster-Pi ↔ sensor secure-boot story is approved alongside
ADR-085's SoC choice.
When the above pass, this ADR moves from **Proposed** → **Accepted**
and the README + CLAUDE.md are updated to reflect cluster-Pi as the
recommended fleet-shape.
## Related ADRs (current and proposed)
- **ADR-028** (Accepted) — ESP32 capability audit. Single-node BOM
baseline. Unchanged by this ADR.
- **ADR-029** (Proposed) — RuvSense multistatic sensing mode. Pairs
naturally with cluster-Pi: cluster Pi is the natural home for
multi-sensor fusion.
- **ADR-066** — Swarm bridge to coordinator. The cluster-Pi is the
per-cluster swarm coordinator endpoint.
- **ADR-081** (Accepted) — 5-layer adaptive CSI mesh firmware kernel.
Unchanged by this ADR.
- **ADR-082** (Accepted) — Pose tracker confirmed-track output filter.
Holds across UDP and QUIC uplinks identically.
- **Future ADR (sketched in `decision-tree.md` L4)**`no_std` CSI
capture maturity benchmark. Gates the dual-MCU shape; not required
for the cluster-Pi shape proposed here.
- **Future ADR (sketched in `decision-tree.md` L6)** — Cluster-Pi SoC
choice (Pi Zero 2W vs CM4 vs Pi 5). Pure secure-boot decision.
## Open questions
- **Cluster size sweet spot.** "36 nodes" is a planning estimate. The
3-sensor lab fixture in §Implementation will inform whether the
upper bound is closer to 4, 6, or 8 in practice.
- **Cluster-Pi failure semantics.** Default behavior: sensor MCUs hold
the last 60 s of feature packets in RAM and replay on reconnect.
HA-pair cluster Pi is a separate ADR if needed.
- **Mesh control-plane interaction.** If the deployment moves to
Thread (decision-tree.md L5), the cluster Pi may need a Thread
Border Router role. This ADR doesn't pre-commit; it's compatible
with both ESP-WIFI-MESH and Thread futures.
@@ -1,276 +0,0 @@
# ADR-084: RaBitQ Similarity Sensor for CSI / Pose / Memory Routing
| Field | Value |
|----------------|-----------------------------------------------------------------------------------------|
| **Status** | Accepted — Passes 15 + L1L4 hardening implemented and merged via PR #435 (commit `d71ef9a`); acceptance numbers in §"Acceptance test" all measured and passing on synthetic AETHER-shape data; the `< 1 pp end-to-end accuracy regression` criterion is tracked as a post-merge soak test |
| **Date** | 2026-04-26 |
| **Authors** | ruv |
| **Refines** | ADR-024 (AETHER re-ID embeddings), ADR-027 (cross-environment domain generalization), ADR-076 (CSI spectrogram embeddings), ADR-081 (5-layer firmware kernel) |
| **Companion** | ADR-083 (per-cluster Pi compute hop) |
| **Implements** | `vendor/ruvector/crates/ruvector-core/src/quantization.rs::BinaryQuantized` |
## Context
RuView's signal pipeline already produces several **dense float
embeddings** at different layers:
- AETHER 128-d re-ID embeddings on each `PoseTrack` (ADR-024)
- 64256-d CSI spectrogram embeddings (ADR-076)
- per-room field-model eigenmode vectors (ADR-030)
- per-frame multistatic fused vectors (ADR-029)
Every one of these eventually answers the same shape of question:
**"have I seen something like this before?"** Today the answer is
computed by full float dot-product / Mahalanobis comparisons against a
candidate set. That cost grows linearly with stored vectors and
quadratically when used inside dynamic-mincut graph maintenance,
re-identification re-scoring, and cross-environment domain detection.
The vendored `ruvector-core` crate already ships a 1-bit quantization
(`BinaryQuantized`, 32× compression, SIMD popcnt + hamming distance)
that is functionally equivalent to the **RaBitQ** family of binary
sketches: a vector is reduced to one bit per dimension, compared via
hamming distance, and used as a coarse pre-filter before full
precision refinement. The same module also exposes `ScalarQuantized`
(int8, 4×) and `ProductQuantized` (PQ, 816×), so the tiered
quantization story is already implemented; the *deployment pattern* is
not.
The user observation that motivates this ADR: **RaBitQ-style sketches
are not just a vector compression trick — they are a cheap similarity
sensor.** Used as a sensor, they unlock:
- always-on novelty / anomaly gating that wakes heavy CNNs only on
meaningful change
- cluster-Pi memory routing (which shard / room / model to query first)
- cross-node mesh exchange of compressed sketches instead of raw vectors
- privacy-preserving event logs (sketches, not reconstructable signals)
This ADR formalizes the deployment pattern across the RuView stack and
commits to `ruvector::quantization::BinaryQuantized` as the canonical
implementation.
## Decision
Adopt **RaBitQ-style binary sketches as a first-class, cheap
similarity sensor** at four points in the RuView pipeline:
1. **CSI / pose embedding hot-cache filter** at the cluster Pi.
2. **Drift / novelty sensor** between live observation and a
per-room normal-state bank.
3. **Mesh-exchange compression** between sensor nodes when reporting
cross-cluster events.
4. **Privacy-preserving event log** at the cluster Pi and gateway.
The canonical pattern at every point is:
```text
dense embedding ──► RaBitQ sketch ──► hamming/popcnt compare
├──► candidate set (top-K)
└──► novelty score (0..1)
┌── below threshold ──► emit summary, no escalation
└── above threshold ──► full-precision refinement
├──► ruvector mincut / HNSW
├──► AETHER re-ID rescoring
└──► pose model / CNN wake
```
### Implementation home
- **Sketch type and SIMD primitives**:
`vendor/ruvector/crates/ruvector-core/src/quantization.rs::BinaryQuantized`
— already implemented, already SIMD-accelerated (NEON on aarch64,
POPCNT on x86_64). Re-export through a new
`crates/wifi-densepose-ruvector/src/sketch.rs` module so consumers in
`signal`, `train`, `mat`, and `sensing-server` see a stable
RuView-flavored API and don't bind directly to the vendor crate.
- **Per-room normal-state bank**: lives at the cluster Pi (ADR-083),
not on the sensor MCU. Sensor MCUs continue to emit dense embeddings
in the existing `rv_feature_state_t` packet shape; sketching happens
on the Pi where the candidate bank is.
- **Sketch versioning**: each sketch carries a 16-bit `sketch_version`
field so the Pi can tell incompatible sketches apart when an
embedding model upgrades. Bumped on every embedding-model change.
### Where the sensor sits in the pipeline
| Pipeline stage | Today (full float) | With RaBitQ similarity sensor |
|---|---|---|
| AETHER re-ID match | full 128-d cosine on every active track × candidate | hamming pre-filter to top-K, then full cosine on K |
| Mincut subcarrier selection | full graph re-evaluation | sketch-flagged "likely-changed" boundary edges, full mincut on those |
| CSI room fingerprint | trained classifier on full embedding | sketch hamming to per-room sketch, classifier on miss |
| Field-model novelty (ADR-030) | residual-energy threshold | sketch novelty as second gate before SVD redo |
| Mesh / inter-cluster sync | dense embedding broadcast | sketch broadcast; full vector only on miss |
| Event log retention | full embedding stored | sketch + witness hash stored; raw embedding ephemeral |
In every row, the **decision boundary is unchanged** — full precision
still owns the final answer. The sketch is a sensor that only gates
which comparisons run, not what they decide.
### Acceptance criterion (per the source proposal)
The system-level acceptance test is:
> RaBitQ should reduce compare cost by **8× to 30×** while preserving
> top-k decisions well enough that full refinement changes **fewer
> than 10%** of final results.
Concretely, this means:
- Sketch compare must be measurably **8× cheaper** than the float
comparison it replaces (criterion-bench in `signal/`).
- Top-K candidate set chosen by sketch must contain ≥ 90% of the
candidates the full-float pass would have picked (offline replay
against recorded CSI).
- End-to-end pose / re-ID accuracy must regress by **less than 1
percentage point** vs the full-float baseline on the existing
evaluation set.
If any of these three fail, the sensor is rolled back at that point in
the pipeline and the failing site reverts to full float; the rest of
the pipeline keeps using sketches. This is point-by-point, not
all-or-nothing.
## Consequences
### Positive
- **Cheaper hot path everywhere a "have I seen this" question lives.**
AETHER re-ID, mincut maintenance, room fingerprinting, novelty
detection, mesh sync, and event-log retention all run a 32×-smaller,
popcnt-friendly comparison first.
- **Always-on anomaly gating becomes affordable.** The CNN / pose
model only wakes when sketch novelty crosses a threshold. Energy
budget per node drops materially in steady-state quiet rooms.
- **Privacy story improves.** Event logs and inter-cluster mesh
traffic carry sketches and witness hashes, not reconstructable
embeddings. The 1-bit quantization is *not* invertible to the
original CSI.
- **Composes cleanly with ADR-083.** The cluster Pi is the natural
home for the sketch bank; sensor MCUs remain unchanged.
- **No new dependency.** `BinaryQuantized` is already in the vendored
`ruvector-core` and already SIMD-accelerated.
### Negative / risks
- **Sketch quality depends on embedding distribution.** Pure 1-bit
sign quantization (which `BinaryQuantized` implements) works best
when the embedding space is roughly zero-centered and isotropic.
AETHER and CSI spectrogram embeddings need to be benchmarked for
this assumption; if either fails, a randomized rotation
(Johnson-Lindenstrauss / RaBitQ-paper-style) must be added before
sketching. Out-of-scope for this ADR; tracked as a follow-up if
the acceptance test fails.
- **Top-K coverage degrades for small candidate sets.** With < 16
candidates, the sketch compare can pick the wrong K. Site-by-site
fallback to full float is part of the rollout plan.
- **Sketch-version skew during model upgrades.** A model change
invalidates all stored sketches; the cluster Pi must re-sketch the
candidate bank when `sketch_version` bumps. Cost is bounded but
non-zero.
### Neutral
- ADR-024, ADR-027, ADR-029, ADR-030, ADR-076 are unchanged in
*what* they compute. They gain a sketch pre-filter at the comparison
step.
- ADR-082's confirmed-track output filter is upstream of the sketch
layer; it stays correct.
## Implementation
The implementation lands in five passes, each independently testable.
Every pass is gated by the acceptance criterion above; if any fail,
that site rolls back and the rest continue.
1. **`wifi-densepose-ruvector::sketch` module.** Re-export
`BinaryQuantized` plus a thin RuView-flavored API
(`Sketch::from_embedding`, `Sketch::distance`, `SketchBank::topk`).
Add `sketch_version: u16` and `embedding_dim: u16` fields to the
public type. Criterion benches: sketch ↔ float compare-cost ratio.
2. **AETHER re-ID pre-filter.** In
`wifi-densepose-signal/src/ruvsense/pose_tracker.rs`, before
computing the full 128-d cosine across active tracks × candidates,
sketch both sides and reduce to top-K via hamming. Bench: re-ID
pass time per frame, ID-stability under cross-room transitions.
3. **Cluster-Pi novelty sensor.** In
`wifi-densepose-sensing-server`, maintain a per-room
`SketchBank` of "normal-state" sketches; on each incoming
`rv_feature_state_t`, compute embedding sketch, score novelty
against the bank, and emit `novelty_score` as a new field on the
WebSocket update envelope. Heavy CNN wake gate uses this score.
4. **Mesh-exchange compression.** Inter-cluster broadcasts (the
ADR-066 swarm-bridge channel) carry sketch + witness instead of
the full embedding when novelty is low. Full embedding only
exchanged when novelty crosses threshold.
5. **Privacy-preserving event log.** Event log table on the cluster
Pi stores `(sketch_bytes, sketch_version, novelty_score,
witness_sha256)` instead of raw embeddings. Existing log readers
are unchanged in API; only the storage layer rewrites.
Each pass adds tests: a property test (sketch ↔ float top-K agreement
≥ 90%), a criterion bench (≥ 8× compare cost reduction), and an
end-to-end accuracy regression test (< 1 pp drop).
## Validation
This ADR is **proposed**, not accepted. Acceptance requires the three
acceptance numbers above to hold on **at least three of the five
implementation passes** (the sites where the bulk of the load sits:
AETHER re-ID, cluster-Pi novelty, and event log). The mesh-exchange
and mincut prefilter passes are nice-to-haves; they can ship
afterward if their per-site numbers hold.
Validation runs against:
- the existing 1,539-test workspace suite (must stay green)
- a new `tests/integration/rabitq_sketch_pipeline.rs` integration test
driving recorded CSI through the full pipeline with and without
sketches, comparing top-K decisions and end-to-end pose accuracy
- ESP32-S3 on COM7 — sensor MCU unchanged; sketch happens at the
cluster Pi, so this validation is a smoke test that the
sensor → Pi UDP path still works after the cluster Pi gains the
sketch bank
## Related
- **ADR-024** (Accepted) — AETHER re-ID embeddings. Primary consumer
of the sketch pre-filter.
- **ADR-027** (Accepted) — Cross-environment domain generalization
(MERIDIAN). Per-room sketch bank is the natural data structure for
domain detection.
- **ADR-030** (Proposed) — RuvSense persistent field model. Sketch
novelty is the cheap second gate before SVD recompute.
- **ADR-066** — Swarm bridge to coordinator. Inter-cluster sketch
exchange.
- **ADR-076** (Accepted) — CSI spectrogram embeddings. Sketch
consumer; embedding source.
- **ADR-081** (Accepted) — 5-layer adaptive CSI mesh firmware kernel.
Sensor MCU unchanged by this ADR; sketches happen at the cluster Pi.
- **ADR-083** (Proposed) — Per-cluster Pi compute hop. Defines the
device class that hosts the sketch bank.
## Open questions
- **Does `BinaryQuantized` need a randomized rotation pre-pass for
RuView's embedding distributions?** Pure sign quantization assumes
zero-centered, isotropic embeddings. If AETHER / spectrogram
distributions are skewed (likely for spectrogram), add a
`randomized_rotation` pre-pass following the original RaBitQ paper
(Gao & Long, SIGMOD 2024). Decided after pass-1 benchmark.
- **Sketch dimension target.** Default to the embedding's native
dimension (128 for AETHER, 256 for spectrogram). Higher-dimensional
sketches (Johnson-Lindenstrauss-projected to 512) trade compute for
recall; benchmark before committing.
- **Per-room vs per-deployment sketch banks.** Defaulting to per-room
for novelty detection. Cross-room re-ID may want a shared bank;
decide once cross-room AETHER traces are available.
@@ -1,452 +0,0 @@
# ADR-085: RaBitQ Similarity Sensor — Pipeline Expansion (Seven Additional Sites)
| Field | Value |
|----------------|------------------------------------------------------------------------------------------------------------------------------------------------|
| **Status** | Proposed |
| **Date** | 2026-04-25 |
| **Authors** | ruv |
| **Refines** | ADR-084 (RaBitQ similarity sensor, five-site baseline) |
| **Touches** | ADR-027 (cross-environment generalization), ADR-028 (capability audit / witness bundle), ADR-066 (swarm-bridge to coordinator), ADR-073 (multifrequency mesh scan), ADR-076 (CSI spectrogram embeddings), ADR-081 (5-layer firmware kernel), ADR-082 (confirmed-track filter), ADR-083 (per-cluster Pi compute hop) |
| **Companion** | `v2/crates/wifi-densepose-ruvector/src/sketch.rs` (ADR-084 Pass 1 — `Sketch`, `SketchBank`, `SketchError`; on branch `feat/adr-084-pass-1-sketch-module`, commits `6fd5b7d` + `1df9d5f7d`) |
## Context
ADR-084 committed RuView to **RaBitQ-style binary sketches as a cheap
similarity sensor** (Gao & Long, SIGMOD 2024 — arxiv 2405.12497) at
five pipeline sites: AETHER re-ID pre-filter, cluster-Pi novelty,
mincut subcarrier maintenance, mesh-exchange compression, and the
privacy-preserving event log. Pass 1 of that work landed the
`wifi-densepose-ruvector::sketch` module and benched at **4351×
compare speedup at d=512** and **7.5× top-K speedup at k=8 over 1024
sketches** — comfortably above the ADR-084 acceptance threshold of
8×. The sketch primitive is no longer an open question; the question
is where else in the pipeline the same sensor pattern earns its keep.
Seven additional sites have been identified, all outside the ADR-084
five but matching the same shape — code that asks "is this familiar?"
against a stored set, today by way of a full float compare or model
invocation. The unifying rule articulated alongside ADR-084 — *sketch
first, refine on miss, store the witness hash instead of the raw
embedding* — applies to all seven.
This ADR formalizes those seven sites in one document rather than
seven small ADRs because (a) they share one primitive and one
acceptance shape, so evaluating in isolation hides the pattern;
(b) most involve modest code surgery (< 200 LOC at the call site)
and an ADR-per-site would inflate the ledger without buying
decision-resolution; (c) the few sites that *do* raise novel
questions (Mahalanobis pre-filtering, REST similarity API shape,
witness-hash format for non-vector data) are flagged under Open
Questions and may spin out as follow-ups if their answers prove
load-bearing. ADR-084 owns the primitive; ADR-085 owns the
*deployment surface*.
## Decision
Apply the ADR-084 sketch sensor pattern at seven additional sites,
listed in the order they will be implemented (cheapest-first /
lowest-risk-first). Each entry states (a) **what is sketched**,
(b) **what triggers the comparison**, (c) **what the refinement step
on a miss is**, and (d) **what artifact stands in for the raw
embedding** — i.e., the witness hash.
### Site 1 — Per-room adaptive classifier short-circuit
**Crate:** `wifi-densepose-sensing-server`
`src/adaptive_classifier.rs::classify` (per-class centroids and spread,
Mahalanobis-like distance per frame).
- **Sketched:** Each per-class centroid `µ_k` (already a fixed-dim
feature vector). Sketches live in a `SketchBank` keyed by class id,
rebuilt whenever a class is re-trained.
- **Trigger:** Every classification call, before the float Mahalanobis
distance loop runs.
- **Refinement on miss / first cut:** Hamming top-K (K = 3) selects
candidate classes; full Mahalanobis runs only on those K. If the
hamming top-1 disagrees with the eventual Mahalanobis winner, log
the disagreement and fall back to full evaluation against all
classes for that frame.
- **Witness hash:** `sha256(centroid_bytes || spread_bytes ||
sketch_version)` per class, recorded once at classifier-train time
and stored alongside the sketch.
The sketch only narrows; Mahalanobis still decides on the K
candidates, preserving the original distance-to-class semantics.
Substituting Mahalanobis for the standard RaBitQ exact-distance
re-rank step (Gao & Long 2024) is, to our knowledge, novel — Open Q1.
### Site 2 — Recording-search REST endpoint
**Crate:** `wifi-densepose-sensing-server`
`src/recording.rs` plus a new HTTP handler in `src/main.rs`.
- **Sketched:** Each recording's pooled CSI/embedding signature (mean
AETHER embedding over the recording, or mean spectrogram embedding
per ADR-076). One sketch per recording, stored next to the recording
metadata.
- **Trigger:** `GET /api/v1/recordings/similar?to=<id>&k=N` request.
- **Refinement on miss:** Hamming top-K returns a candidate list of
recording ids. Full embedding refinement is **opt-in** via a
`&refine=true` query param that loads the candidate recordings'
full embeddings (if stored) and re-ranks. Default behavior is
sketch-only — the endpoint trades exact ranking for the ability to
ship without storing full embeddings server-side.
- **Witness hash:** `sha256(sketch_bytes || recording_id ||
sketch_version)` returned in the response payload as the result row
identifier. The raw embedding is **not retained** by default; the
hash is the artifact a client can use to assert which sketch
produced the match.
Delivers "find recordings that look like this one" without
long-term embedding storage. The shape is closer to SimHash dedup
APIs than to Qdrant's `/collections/{name}/points/search` (the
closest Rust-native vector-DB endpoint, which returns full vectors)
— deliberate; see Open Q4.
### Site 3 — WiFi BSSID fingerprinting (channel-hop scheduler input)
**Crate:** `wifi-densepose-wifiscan`
new `bssid_sketch` module beside the existing scan/result types.
- **Sketched:** A short per-BSSID time-series feature vector — recent
RSSI, SNR, channel, beacon interval, capability flags — pooled over
a rolling window (e.g., last 60 s). One sketch per (BSSID, window).
- **Trigger:** Each scan tick, after the multi-BSSID scan completes.
The current window's sketch is compared against the prior window's
bank.
- **Refinement on miss:** A sketch whose nearest neighbor's hamming
distance exceeds a threshold flags the BSSID as **novel** (newly
appeared, or known-AP-changed-beyond-recognition). The hop scheduler
(ADR-073) reads novelty as a hint to give the affected channel
more dwell time on the next rotation.
- **Witness hash:** `sha256(bssid || pooled_features || sketch_version
|| window_end_unix)` stored in the per-AP novelty log; raw
per-BSSID time series is dropped after the sketch is taken.
Anomaly detection over a heterogeneous low-dim vector; acceptance
is **false-positive rate on stable deployments**, not top-K
coverage. IEEE 802.11bf-2025 (published March 2025) standardizes
sensing measurement frames but not BSSID-novelty heuristics, so
this site does not duplicate the standard's scope.
### Site 4 — mmWave radar signature memory
**Crate:** `wifi-densepose-vitals`
`src/preprocessor.rs` and `src/anomaly.rs` (LD2410 / MR60BHA2 input
path).
- **Sketched:** A per-frame radar signature vector — range bins,
Doppler bins, peak frequencies — sketched at the same cadence as
the radar input (~10 Hz).
- **Trigger:** Every incoming radar frame, before the heavy vital
signs DSP runs. The current sketch is compared against a small
per-room "have we seen this kind of frame before" bank.
- **Refinement on miss:** A sketch within hamming distance of a known
signature short-circuits to "no new event"; vital signs DSP stays
asleep. A sketch beyond threshold wakes the full breathing/heart
pipeline (`vitals::breathing`, `vitals::heartrate`) for one or more
frames, then re-sleeps once the bank update settles.
- **Witness hash:** `sha256(signature_bytes || sensor_kind ||
sketch_version)` stored in the vitals event log; the raw radar
frame is not retained beyond the rolling preprocessor buffer.
Energy is the headline: vital signs DSP (band-pass + phase-fusion +
heart/breath FFT) is the most expensive cluster-Pi operation per
minute of quiet-room time. Published FMCW pipelines treat the DSP
stage as always-on after presence; **no primary source** found for
"binary-sketch wake-gate over a per-room radar signature bank" —
this is a direct extension of ADR-084's novelty sensor.
### Site 5 — Witness bundle similarity (ADR-028 release-CI signal)
**Crate:** Out-of-tree — addition to `scripts/generate-witness-bundle.sh`
plus a new `scripts/witness_drift_check.py`.
- **Sketched:** Each release's witness bundle "fingerprint" — a fixed
vector built from per-component SHA-256 prefixes plus numeric
attestation values (test count, proof hash byte-segments,
per-firmware sizes). One sketch per release.
- **Trigger:** Run during the CI release job, after the witness
bundle is generated and before publication.
- **Refinement on miss:** A sketch whose hamming distance to the prior
release exceeds threshold flags the release as **drifted** and
surfaces the changed components in the CI summary. The release is
not blocked; the signal is a ratchet that says "these components
changed by more than the recent baseline, take a second look."
- **Witness hash:** `sha256(sketch_bytes || release_tag ||
sketch_version)` published alongside the witness bundle as
`WITNESS-LOG-<sha>.sketch`. The full bundle is the existing artifact;
the sketch hash is a 32-byte add-on.
Conservative use of the sensor — drift detection over a *very*
small candidate set (last 510 releases). Existing CI drift prior
art is autoencoder/SHAP-based commit-anomaly detection plus
PKI-signed artifact integrity; **no primary source** for
"binary-sketch over release-bundle fingerprint" as a CI signal.
Acceptance: "useful ratchet without false-firing on every
dependency bump." If no, the sketch step drops from the release
script — most readily revertible of the seven.
### Site 6 — Agent / swarm memory routing
**Crate:** `wifi-densepose-sensing-server`
`src/multistatic_bridge.rs` (ADR-066 swarm-bridge channel) and the
peer Cognitum Seed registration metadata.
- **Sketched:** Each Cognitum Seed's accumulated **historical bank**
signature — a pooled mean of the sketches it has stored over a
rolling horizon. One sketch per peer Seed; refreshed at peer
heartbeat cadence.
- **Trigger:** A sensor node escalates an event to the swarm. Before
broadcasting to all peer Seeds, the cluster Pi computes the event's
sketch and routes it to the **closest peer** by hamming distance.
- **Refinement on miss:** No nearby peer (all hammings above threshold)
→ broadcast to all. Nearby peer hits → unicast to that Seed first;
only escalate to broadcast if the routed Seed cannot resolve.
- **Witness hash:** `sha256(event_sketch || origin_seed_id ||
routed_seed_id || sketch_version || event_unix)` recorded in the
swarm-bridge audit log. The full event sketch is exchanged; the
hash is the routing-decision attestation.
A 12-Seed swarm broadcasting every event is O(n) message storm per
event; sketch-routing turns the common case into O(1) with O(n)
fallback. Closest published comparator: **MasRouter** (ACL 2025),
which routes LLM queries via a learned DeBERTa router; ADR-085's
variant is structurally similar but uses unlearned hamming compare
against each peer's pooled bank — cheaper, and resilient to peer
churn.
### Site 7 — Log / event-stream pattern detection
**Crate:** `wifi-densepose-sensing-server`
new `src/event_anomaly.rs` module reading the cluster Pi's
existing event stream.
- **Sketched:** A pooled feature vector over the recent-events window
(last hour by default) — counts per event type, mean inter-event
interval, sources distribution. One sketch per cluster, refreshed
every 5 minutes.
- **Trigger:** Every refresh tick. The current-hour sketch is compared
against the historical bank (last 24 hours of hourly sketches).
- **Refinement on miss:** Hamming distance above threshold flags the
hour as **anomalous behavior**; the cluster Pi raises a single
cluster-level alert with a pointer to the witness hash, **not** to
the raw events. No raw events leave the Pi as part of the alert
payload.
- **Witness hash:** `sha256(hourly_sketch || cluster_id || hour_unix
|| sketch_version)` recorded as the alert body. Raw events stay on
the cluster Pi behind the existing privacy boundary.
The most genuinely "anomaly detection" of the seven, and most
exposed to the non-vector witness-hash open question (event
features are mixed counts and rates needing normalization before
sketching). Closest published comparator: **LogAI** (Salesforce,
Drain parser → counter vectors → unsupervised detection); ADR-085's
variant sketches the counter vector, trading recall for constant
memory and sub-ms compare on the cluster Pi.
### Witness-hash discipline
In every site above, the witness hash replaces the raw embedding /
feature vector at the storage boundary — the same privacy posture
ADR-084 introduced for the cluster-Pi event log, generalized across
seven new contexts. The format is uniform:
`sha256(sketch_bytes || stable_metadata || sketch_version)`. Where
the input is not natively a dense vector (Sites 5 and 7), the
encoding into a sketchable shape is itself a design choice — see
Open Questions.
## Consequences
### Positive
- **The "is this familiar?" pattern becomes a first-class deployment
primitive across REST APIs, scanning subsystems, mmWave gating,
CI, swarm routing, and event analytics.** Each site is a modest
win individually; together they remove the last excuses to keep
full embeddings on every storage and exchange path.
- **Energy and bandwidth wins compound at the cluster boundary.**
Site 4 cuts vital signs DSP duty cycle; Site 6 cuts cross-cluster
broadcast load. Both are at the cluster Pi, where wattage matters.
- **Privacy story strengthens.** Every site stores a witness hash,
not raw data. Sites 2 and 7 are explicitly designed to ship
without retaining the embeddings or event payloads they index.
- **Reuses ADR-084 Pass 1 with no new dependency.** The
`wifi-densepose-ruvector::sketch` module already exposes
`Sketch`, `SketchBank`, `SketchError` at 4351× compare speedup.
- **Each site is independently testable and revertible.** The seven
passes share no data paths; failure at any one rolls back without
touching the others.
### Negative / risks
- **Mahalanobis distributional assumption (Site 1).** Pure 1-bit
sign quantization performs best on zero-centered, isotropic
embeddings; Mahalanobis explicitly encodes covariance structure
hamming distance is insensitive to. The sketch is used **only**
as a candidate-narrower; the Mahalanobis re-score preserves
semantics. But if hamming top-K systematically excludes the true
winner, the short-circuit is worse than no short-circuit. The
Validation acceptance test guards this; randomized rotation
pre-pass (RaBitQ-paper-style) may be needed — see Open Q1.
- **REST endpoint shape (Site 2) is an API surface commitment.**
A `GET /api/v1/recordings/similar` with a sketch-only default
is a contract; clients expect approximate-recall behavior.
Documenting "sketch-only by default, `&refine=true` for full
re-ranking" is part of the acceptance bar.
- **False-positive risk on Site 3 (BSSID novelty)** in dynamic
environments. Coffee-shop / co-working deployments see BSSIDs
rotate constantly; the signal must flag *unexpected* change,
not background churn — acceptance is framed accordingly.
- **Witness-hash format for non-vector inputs (Sites 5 and 7).**
Witness bundles and event streams are not natively dense-vector
data; the encoding into sketchable form (numeric SHA-prefix
segments; normalized event-type histograms) is itself a design
choice future model changes can break. `sketch_version` bumps
invalidate banks everywhere, but only Sites 5 and 7 must
re-encode raw inputs.
- **Operational surface area.** Seven banks each with their own
persistence, version-skew, and refresh story. The cluster Pi
gains non-trivial state. ADR-083's secure-boot / OTA story
holds, but state-rebuild cost on `sketch_version` bump is now
seven banks, not one.
### Neutral
- The five ADR-084 sites and the seven sites here are independent.
Acceptance or rollback at any one site does not propagate.
- ADR-082 (confirmed-track filter) remains upstream of every sketch
call. ADR-081 (5-layer firmware kernel) is unchanged — every new
bank lives at the cluster Pi or higher.
- ADR-027 (cross-environment generalization, MERIDIAN) interacts
cleanly: Site 1's per-class sketches are *per environment* by
construction, which is the same shape MERIDIAN already assumes.
## Implementation
Seven passes, ordered cheapest-first / lowest-risk-first. Each is
independently shippable; each has a single-line acceptance test that
must pass before the next pass starts.
| # | Pass | Target crate | Acceptance test (one line) |
|---|------|--------------|----------------------------|
| 1 | **Witness bundle drift sketch** (Site 5) | `scripts/witness_drift_check.py` | CI run on the last 5 releases produces ≥ 1 drift flag on a known dependency-bump release and 0 flags on a known no-op release. |
| 2 | **BSSID fingerprint novelty** (Site 3) | `wifi-densepose-wifiscan::bssid_sketch` | 24-hour soak in a stable office: novelty rate ≤ 5 events / hour; controlled new-AP injection: novelty fires within 2 scan cycles. |
| 3 | **mmWave signature gate** (Site 4) | `wifi-densepose-vitals::preprocessor` | Vitals DSP CPU time / hour ≥ 4× lower in steady-state empty-room compared to no-gate baseline; missed-detection regression ≤ 1 pp on the existing breathing/heart fixtures. |
| 4 | **Adaptive classifier short-circuit** (Site 1) | `wifi-densepose-sensing-server::adaptive_classifier` | Per-frame `classify` time reduced ≥ 2× at K = 3 candidates; classification accuracy regression ≤ 1 pp on the held-out test set. |
| 5 | **Event-stream anomaly sketch** (Site 7) | `wifi-densepose-sensing-server::event_anomaly` | 7-day rolling deployment: ≤ 1 false anomaly / day; injection of a synthetic anomalous hour fires within one refresh tick. |
| 6 | **Swarm memory routing** (Site 6) | `wifi-densepose-sensing-server::multistatic_bridge` | 12-Seed simulated swarm: per-event broadcast-message count drops ≥ 5× vs. unrouted baseline; routed-Seed-resolution rate ≥ 80%. |
| 7 | **Recording-search REST endpoint** (Site 2) | `wifi-densepose-sensing-server::recording` + HTTP route | `GET /api/v1/recordings/similar` returns a top-K with ≥ 90% candidate-set agreement vs. full-embedding re-rank on the recorded dataset; response time < 50 ms at K = 10 over 1000 recordings. |
ADR-084's general acceptance numbers — **830× compare cost
reduction, ≥ 90% top-K coverage, < 1 pp accuracy regression** —
apply unchanged to Sites 1 (classifier) and 2 (recording search),
where the candidate set is large and top-K coverage is the right
framing. Sites 3, 4, 5, 6 are gating / anomaly / routing problems
measured against site-specific criteria above (false-positive rate,
DSP duty cycle, broadcast count, drift-flag precision). Each pass
adds three tests under `v2/crates/<target>/tests/`: property test
(sketch ↔ float top-K where applicable), criterion bench
(compare-cost ratio), end-to-end regression against recorded data.
Benches reuse the ADR-084 Pass 1 harness.
## Validation
This ADR is **Proposed**. Acceptance requires **at least four of
seven passes** to meet their per-row acceptance test. The four
must-haves are: **Site 1** (per-frame cost; Mahalanobis assumption
load-bearing), **Site 4** (cluster-Pi energy), **Site 6**
(cross-cluster bandwidth), **Site 7** (privacy-preserving anomaly).
Sites 2, 3, 5 are nice-to-haves and may ship or revert
independently.
Validation runs against:
- existing workspace tests (must stay green at
`cargo test --workspace --no-default-features` on `v2/`);
- a 7-day cluster-Pi soak at the lab fixture (3 sensor nodes + 1 Pi
per ADR-083) with recordings, mmWave, and BSSID scans active —
per-site logs graded against the Implementation table;
- Python proof harness unchanged (`archive/v1/data/proof/verify.py`
must still print `VERDICT: PASS`);
- regenerated witness bundle (ADR-028) including the Site 5 sketch.
When the four must-haves pass and the soak holds, ADR moves
**Proposed → Accepted** and README hardware/feature tables gain a
sketch-bank row.
## Open questions
1. **Does Mahalanobis pre-filtering survive sign-quantization bias
on Site 1?** Pure 1-bit sketches discard the covariance
structure Mahalanobis uses. The pass-1 framing — sketch narrows,
Mahalanobis decides — preserves correctness in expectation, but
adversarial centroid geometries can let the hamming top-K
systematically exclude the true winner. **No primary source
found** for "binary-sketch + Mahalanobis-refine" as a published
pipeline; marked as conjecture, gated by the Site-1 acceptance
test. If it fails, the next experiment is the randomized
rotation pre-pass from Gao & Long (SIGMOD 2024, arxiv
2405.12497), which ADR-084 also flagged for AETHER /
spectrogram embeddings. A standalone follow-up ADR is the
likely outcome if rotation is needed.
2. **Witness-hash format for non-vector data (Sites 5, 7).** The
release bundle (Site 5) and event stream (Site 7) are not
natively dense-vector inputs. The proposed encodings — numeric
SHA-256-prefix segments plus attestation values for Site 5;
normalized event-type histograms for Site 7 — are plausible
but unvalidated against drift in the underlying distributions.
A small follow-up ADR formalizing the "non-vector → sketchable"
canonical path is plausible if the two sites diverge.
3. **Cross-environment domain generalization interaction
(ADR-027).** Per-class sketches in Site 1 and per-room banks at
Sites 4 and 7 are implicitly per-environment artifacts; ADR-027
(MERIDIAN) handles cross-environment generalization at the model
layer. When MERIDIAN's domain detector flags an environment
shift, do banks rebuild, swap, or merge? Default here is
**rebuild on shift**; a merge story may be cheaper and is open
for the eventual MERIDIAN-aware deployment.
4. **REST API shape for Site 2.** The choice between
Qdrant/Pinecone/Weaviate-style endpoints (Qdrant being the
closest Rust-native comparator with HTTP `/points/search`) and
a thin sketch-only response is intentionally opinionated
toward the thin shape. **No Rust-idiom primary source** was
located for "sketch-only similarity search over recordings"
specifically; closest analog is SimHash-over-documents
deduplication, which lacks time-series-recording prior art.
If a clean Rust crate emerges owning this idiom, Site 2 may
delegate rather than ship bespoke.
5. **BSSID novelty and 802.11bf-2025 interaction.** IEEE 802.11bf
was published in March 2025 and standardizes WLAN sensing
measurement frames; Site 3's novelty sketch operates above the
measurement layer (on RSSI/SNR/channel time-series) and should
not duplicate what 802.11bf eventually exposes natively. **No
primary source found** for "RSSI-fingerprint anomaly + 802.11bf"
— marked as conjecture; revisit when client/AP support arrives.
## Related
- **ADR-027** (Proposed) — MERIDIAN cross-environment generalization.
Per-environment sketch banks (Sites 1, 4, 7) need an explicit
swap/rebuild story under MERIDIAN-detected domain shifts.
- **ADR-028** (Accepted) — ESP32 capability audit / witness bundle.
Site 5 adds a sketch ratchet to the existing release artifact.
- **ADR-066** (Proposed) — Swarm bridge to coordinator. Site 6 routes
over the bridge channel ADR-066 defines.
- **ADR-073** (Proposed) — Multifrequency mesh scan. Site 3's
BSSID novelty feeds the hop scheduler ADR-073 owns.
- **ADR-076** (Proposed) — CSI spectrogram embeddings. Site 2's
recording-search sketch can pool over spectrogram embeddings
when present, or fall back to AETHER means.
- **ADR-081** (Accepted) — 5-layer adaptive CSI mesh firmware kernel.
No firmware change; every new sketch bank is at the cluster Pi
or higher.
- **ADR-082** (Accepted) — Pose tracker confirmed-track filter.
Upstream of every sketch call; unchanged.
- **ADR-083** (Proposed) — Per-cluster Pi compute hop. The Pi is
the host for all seven new banks; ADR-083's deployment story is
the prerequisite.
- **ADR-084** (Proposed) — RaBitQ similarity sensor (five-site
baseline). This ADR refines and extends; it does not duplicate
ADR-084's compare-cost / top-K / accuracy acceptance numbers
where unchanged.

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