efitenandClaude Opus 5.5
2bb000f2aa
Part 2 of #2260. **Builds on #2261** (certain liveness): review/merge that first; until then this diff also shows its commit. ## Adaptive offline threshold `userManagement.notifications.adaptiveOffline` — **off by default**: ```json "notifications": { "enabled": true, "adaptiveOffline": { "enabled": true, "floorMinutes": 30, "minObservers": 3 } } ``` The fixed `infraSilentHours` (72 h) treats every repeater the same. With this on, a watched node's `node.offline` window is learned from its own **certain** traffic (the #2261 rule): 1. Certain packets per hour over the week **before its last certain packet**. Ending there, not at now, keeps an outage from dragging the rate down until the fixed window returns and the node reads "back online". 2. Empty runs are classified: ≤ 6 h and recurring on another day at the same hours = normal silence (kept; the window is never shorter than the longest + 1 h); any other run = outage, left out of the learning so it neither stretches the window nor blocks learning. 3. λ = 10th percentile of the remaining hourly counts, so quiet nights don't alert. 4. Window = 14/λ hours: silence at rate λ has a < 10⁻⁶ chance (Poisson, ln 10⁶ ≈ 13.8). 5. Clamped to [`floorMinutes`, the role's silent window]. Kept on the fixed window: λ < 1/hour, under 24 h of history in memory, or a 10th-percentile hour heard by fewer than `minObservers` observers (one observer dropping out must not read as the node going offline). Silence is measured up to the newest packet in the store, so a stalling feed stops every node's clock. A node stored offline comes back only on evidence from the moment it went offline on. The notifier caches each learned window for 10 minutes and drops unwatched nodes. For the #2260 repeater (~840 packets/day) the mail would have gone out about 30 minutes into the outage, instead of never (or 72 h with #2261 alone). ## Certain node analytics - Each `activityTimeline` bucket carries `certain`: the part that can only be this node (`certainFor`, the packet-level form of the `certainHeard` rule). `TimeBucket.Certain` is `omitempty`, so other endpoints are unchanged. - Availability and longest silence use certain buckets only; the longest silence now includes one **still running** (an outage in progress is the silence worth seeing). - The chart stacks certain (`--accent`) and uncertain (`--text-muted`) — existing theme variables, so no new customizer entry. Descriptions updated. ## Performance `CertainActivity` walks a week of packets per watched node, at most once per node per 10 minutes, with the read lock taken **per node**: ``` BenchmarkCertainActivity-16 12.1 ms/op (50 watched repeaters × 6,000 packets; ~0.25 ms per lock hold) BenchmarkNoteCertainRelays-16 121 ns/op 0 allocs ``` Node analytics adds one `certainFor` per packet of the requested node (a prefix-map lookup, or the cached decoded JSON for its own packets). ## Tests - `adaptiveOfflineAfter`: busy repeater hits the floor; 5/hour; quiet nights set the rate; > 10 % empty hours, short history, too few observers → fixed. - `CertainActivity` ends at the last certain packet and counts only certain packets — verified red by mutating the window to end at now. - Notifier end to end: learned window passed → bad; inside → good; too few observers / setting off → fixed 72 h; cache refresh and prune. - `certainFor`, `longestSilence` (incl. running silence), config defaults, `/api/nodes/{pk}/analytics` splits a shared-prefix bucket. - Frontend: `NodeAnalyticsTimeline.series` (new `tests/unit/test-node-analytics-certain-timeline.js`). - `cmd/server` `go test ./...` and `test-all.sh` pass locally, also on a trial merge into a downstream fork. ## Validation Server on the freshened e2e fixture: analytics buckets carry `certain` (e.g. 89 of 90 packets certain for one repeater). **No browser screenshot**: Playwright isn't installed on this machine. ## Later (rule 8) `floorMinutes` / `minObservers` are server config, not theme settings; an admin UI for notification settings would be the place, not the customizer. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
CoreScope
High-performance mesh network analyzer powered by Go. Sub-millisecond packet queries, ~300 MB memory for 56K+ packets, real-time WebSocket broadcast, full channel decryption.
Self-hosted, open-source MeshCore packet analyzer. Collects MeshCore packets via MQTT, decodes them in real time, and presents a full web UI with live packet feed, interactive maps, channel chat, packet tracing, and per-node analytics.
⚡ Performance
The Go backend serves its packet and analytics API from an in-memory packet store with 7 indexes (hash, txID, obsID, observer, node, path hop, payload type). SQLite is for persistence only — reads never touch disk.
| Metric | Value |
|---|---|
| Packet queries | < 1 ms (in-memory) |
| All API endpoints | < 100 ms |
| Memory (56K packets) | ~300 MB (vs 1.3 GB on Node.js) |
| WebSocket broadcast | Real-time to all connected browsers |
| Channel decryption | AES-128-ECB with rainbow table |
| GOMEMLIMIT (memory-constrained hosts) | set to ≥1.5× working set (e.g. 1536 MiB on a 2 GB Pi for a ~1 GB store). Lower values trigger a GC death-spiral. Configure via the GOMEMLIMIT env var or runtime.maxMemoryMB in config.json; env wins. Applies to both server and ingestor. See #1010. |
See PERFORMANCE.md for full benchmarks.
✨ Features
📡 Live Trace Map
Real-time animated map with packet route visualization, VCR-style playback controls, and a retro LCD clock. Replay the last 24 hours of mesh activity, scrub through the timeline, or watch packets flow live at up to 8× speed.
📦 Packet Feed
Filterable real-time packet stream with byte-level breakdown, Excel-like resizable columns, and a detail pane. Toggle "My Nodes" to focus on your mesh.
🗺️ Network Overview
At-a-glance mesh stats — node counts, packet volume, observer coverage.
📊 Node Analytics
Per-node deep dive with interactive charts: activity timeline, packet type breakdown, SNR distribution, hop count analysis, peer network graph, and hourly heatmap.
💬 Channel Chat
Decoded group messages with sender names, @mentions, timestamps — like reading a Discord channel for your mesh.
📱 Mobile Ready
Full experience on your phone — proper touch controls, iOS safe area support, and a compact VCR bar.
And More
- 17 Analytics Tabs — RF, topology, channels, hash stats, distance, route patterns, scopes, and more
- Node Directory — searchable list with role tabs, detail panel, QR codes, advert timeline
- Packet Tracing — follow individual packets across observers with SNR/RSSI timeline
- Observer Status — health monitoring, packet counts, uptime, per-observer analytics
- Hash Collision Matrix — detect address collisions across the mesh
- Scope Audit: per repeater, which declared regions show no forwarding and which scopes it forwards without declaring them
- Channel Key Auto-Derivation — hashtag channels (
#channel) keys derived via SHA256 - Multi-Broker MQTT — connect to multiple brokers with per-source IATA filtering
- Dark / Light Mode — auto-detects system preference, map tiles swap too
- Theme Customizer — design your theme in-browser, export as
theme.json - Global Search — search packets, nodes, and channels (Ctrl+K)
- Shareable URLs — deep links to packets, channels, and observer detail pages
- Protobuf API Contract — typed API definitions in
proto/ - Accessible — ARIA patterns, keyboard navigation, screen reader support
Optional Features
Off by default, enabled in config.json:
- User Accounts: registration with email activation, settings sync, an admin area, hashtag channel proposals, mail notifications for watched nodes, and a personal data export. The dashboard stays public. See docs/user-guide/accounts.md
- Mobile RX Coverage: crowdsourced coverage from phones connected to a companion radio, drawn as hex bins on the RX Coverage page and on each node's Reach page. See docs/client-rx-coverage.md
Quick Start
Pre-built Image (Recommended)
No build step required — just run:
docker run -d --name corescope \
--restart=unless-stopped \
-p 80:80 -p 1883:1883 \
-v /your/data:/app/data \
ghcr.io/kpa-clawbot/corescope:latest
Open http://localhost — done. No config file needed; CoreScope starts with sensible defaults.
For HTTPS with a custom domain, add -p 443:443 and mount your Caddyfile:
docker run -d --name corescope \
--restart=unless-stopped \
-p 80:80 -p 443:443 -p 1883:1883 \
-v /your/data:/app/data \
-v /your/Caddyfile:/etc/caddy/Caddyfile:ro \
-v /your/caddy-data:/data/caddy \
ghcr.io/kpa-clawbot/corescope:latest
Disable built-in services with -e DISABLE_MOSQUITTO=true or -e DISABLE_CADDY=true, or drop a .env file in your data volume. See docs/deployment.md for the full reference.
Build from Source
git clone https://github.com/Kpa-clawbot/CoreScope.git
cd CoreScope
./manage.sh setup
The setup wizard walks you through config, domain, HTTPS, build, and run.
./manage.sh status # Health check + packet/node counts
./manage.sh logs # Follow logs
./manage.sh backup # Backup database
./manage.sh update # Pull latest + rebuild + restart
./manage.sh mqtt-test # Check if observer data is flowing
./manage.sh help # All commands
Configure
Copy config.example.json to config.json and edit:
{
"port": 3000,
"mqtt": {
"broker": "mqtt://localhost:1883",
"topic": "meshcore/+/+/packets"
},
"mqttSources": [
{
"name": "remote-feed",
"broker": "mqtts://remote-broker:8883",
"topics": ["meshcore/+/+/packets"],
"username": "user",
"password": "pass",
"iataFilter": ["SJC", "SFO", "OAK"]
}
],
"channelKeys": {
"public": "8b3387e9c5cdea6ac9e5edbaa115cd72"
},
"defaultRegion": "SJC"
}
| Field | Description |
|---|---|
port |
HTTP server port (default: 3000) |
mqtt.broker |
Local MQTT broker URL ("" to disable) |
mqttSources |
External MQTT broker connections (optional) |
channelKeys |
Channel decryption keys (hex). Hashtag channels auto-derived via SHA256 |
defaultRegion |
Default IATA region code for the UI |
dbPath |
SQLite database path (default: data/meshcore.db) |
Environment Variables
| Variable | Description |
|---|---|
DB_PATH |
Override SQLite database path |
GOMEMLIMIT |
Go soft memory limit, wins over runtime.maxMemoryMB |
The HTTP port is set with port in config.json or the server's -port flag.
Architecture
┌─────────────────────────────────────────────┐
│ Docker Container │
│ │
Observer → USB → │ Mosquitto ──→ Go Ingestor ──→ SQLite DB │
meshcoretomqtt → MQTT ──→│ │ │
│ Go HTTP Server ──→ WebSocket │
│ │ │ │
│ Caddy (HTTPS) ←───────┘ │
└────────────────────┼────────────────────────┘
│
Browser
Two-process model: The Go ingestor handles MQTT ingestion and packet decoding. The Go HTTP server loads all packets into an in-memory store on startup (5 indexes for fast lookups) and serves the REST API + WebSocket broadcast. Both are managed by supervisord inside a single container with Caddy for HTTPS and Mosquitto for local MQTT.
MQTT Setup
- Flash an observer node with
MESH_PACKET_LOGGING=1build flag - Connect via USB to a host running meshcoretomqtt
- Configure meshcoretomqtt with your IATA region code and MQTT broker address
- Packets appear on topic
meshcore/{IATA}/{PUBKEY}/packets
To decode a single raw hex packet without storing it, use POST /api/decode.
Project Structure
corescope/
├── cmd/
│ ├── server/ # Go HTTP server + WebSocket + REST API
│ │ ├── main.go # Entry point
│ │ ├── routes.go # 40+ API endpoint handlers
│ │ ├── store.go # In-memory packet store (5 indexes)
│ │ ├── db.go # SQLite persistence layer
│ │ ├── decoder.go # MeshCore packet decoder
│ │ ├── websocket.go # WebSocket broadcast
│ │ └── *_test.go # Server tests
│ └── ingestor/ # Go MQTT ingestor
│ ├── main.go # MQTT subscription + packet processing
│ ├── decoder.go # Packet decoder (shared logic)
│ ├── db.go # SQLite write path
│ └── *_test.go # Ingestor tests
├── proto/ # Protobuf API definitions
├── public/ # Vanilla JS frontend (no build step)
│ ├── index.html # SPA shell
│ ├── app.js # Router, WebSocket, utilities
│ ├── packets.js # Packet feed + hex breakdown
│ ├── map.js # Leaflet map + route visualization
│ ├── live.js # Live trace + VCR playback
│ ├── channels.js # Channel chat
│ ├── nodes.js # Node directory + detail views
│ ├── analytics.js # Analytics dashboard
│ └── style.css # CSS variable theming (light/dark)
├── docker/
│ ├── supervisord-go.conf # Process manager (server + ingestor)
│ ├── mosquitto.conf # MQTT broker config
│ ├── Caddyfile # Reverse proxy + HTTPS
│ └── entrypoint-go.sh # Container entrypoint
├── Dockerfile # Multi-stage Go build + Alpine runtime
├── config.example.json # Example configuration
├── tests/ # Node.js test suite: unit/ (test-all.sh) and e2e/ (Playwright)
├── test-all.sh # Runs every suite in tests/unit
└── tools/ # Generators, E2E tests, utilities
For Developers
Building
make build # all four binaries for your machine, into dist/
make build-server # just one
make crossbuild # static linux/amd64 + linux/arm64 binaries
The SQLite driver is mattn/go-sqlite3, which
is cgo, so a plain GOOS=linux go build from a Mac will not work: cross-compiling
needs a C compiler that can target the other platform. make crossbuild uses
zig as that compiler (install it and it just
works) and links statically against musl, so the result is one self-contained file
that runs on Alpine or scratch. The container build does the same thing — see
Dockerfile.
Test Suite
Go tests cover the backend, Node.js unit tests in tests/unit/ cover the frontend logic, and Playwright tests in tests/e2e/ validate the UI in a browser.
# Go backend tests
cd cmd/server && go test ./... -v
cd cmd/ingestor && go test ./... -v
# Or across all 16 modules at once
make test
# Node.js frontend + integration tests
npm test
# Playwright E2E (requires running server on localhost:3000)
node tests/e2e/test-e2e-playwright.js
Generate Test Data
node tools/generate-packets.js --api --count 200
Migrating from Node.js
If you're running an existing Node.js deployment, see docs/go-migration.md for a step-by-step guide. The Go engine reads the same SQLite database and config.json — no data migration needed.
Contributing
Contributions welcome. Please read AGENTS.md for coding conventions, testing requirements, and engineering principles before submitting a PR.
Live instance: analyzer.on8ar.eu: all read endpoints are public, no auth required.
API Documentation: CoreScope auto-generates an OpenAPI 3.0 spec. Browse the interactive Swagger UI at /api/docs or fetch the machine-readable spec at /api/spec.
License
GPL-3.0-or-later