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Kpa-clawbot
d69d9fbf8e
## Summary Surgical fix for #1247: analytics endpoints regressed 3-9× between prod `d818527` and master. pprof against staging traced the regression to `resolveWithContext` tier-1 affinity loop running on every analytics `resolveHop` call (post-#1198 plumbing) with redundant per-(cand, ctx) work. **Result: 4.6× speedup on the synthetic hot-shape benchmark (202µs → 44µs / op).** ## Root cause - PR #1198 (`353c5264`) lit up `resolveWithContext` tier 1 from every analytics resolveHop closure (previously they passed `contextPubkeys=nil` and short-circuited the entire tier-1 block). - The inner loop did `N_cand × N_ctx` iterations where each one did: - `graph.Neighbors(strings.ToLower(ctxPK))` — graph RLock + ToLower allocation **per candidate**, redundantly - `strings.ToLower(cand.PublicKey)` per `ctxPK` - `strings.EqualFold(otherPK, ctxPK)` + `EqualFold(otherPK, candPK)` — both sides were already lowercased (`NeighborEdge.NodeA/B` via `makeEdgeKey`; `contextPubkeys` via `buildHopContextPubkeys`) - At staging scale (5k+ contextPubkeys × 30k+ resolveHop calls) this dominated `computeAnalyticsTopology` (37% of its CPU) and `computeAnalyticsRF` (55%). ## pprof attribution (staging, region-keyed queries bypassing #1240 cache) ``` computeAnalyticsTopology cum: 19.24% (5.45s / 28.32s sampled) └─ resolveWithContext 37% ├─ strings.ToLower 41% ├─ strings.EqualFold 28% └─ graph.Neighbors 24% computeAnalyticsRF cum: 10.38% ``` ## Fix (~80 LoC in `cmd/server/store.go`) 1. Lowercase `contextPubkeys` **once per call**, skipped entirely when already lowercased (the analytics fast path). 2. Lowercase candidate pubkeys **once per call**. 3. Invert the loop nesting: outer-ctx / inner-edge / candidate-map lookup. `graph.Neighbors` is called once per context pubkey instead of `N_cand` times. 4. Raw `==` instead of `strings.EqualFold` for pubkey comparisons (both sides lowercased by step 1/2). 5. Added a tiny `hasUpperASCII` byte-loop helper next to `isHexLower` for the fast-path check. Behavior preserved: same `Score × Confidence` formula, same tier-1 ratio + min-observations gate, same per-candidate "best edge wins" semantics. No change to tiers 2/3/4. ## TDD evidence - Red commit (`5f8d1564`): `TestResolveWithContextTier1Floor` asserts `<100 µs/call` on the hot shape. **199 µs/call on regressed master → FAIL.** - Green commit (`e3bdbc65`): surgical fix lands. **44 µs/call → PASS.** - Reverification: locally stashed the fix, ran the test → 199.5 µs FAIL; popped fix → 44 µs PASS. `BenchmarkResolveWithContextTier1Hot` (no assertion, visibility only): ``` before: 202013 ns/op 168 B/op 3 allocs/op after: 44084 ns/op 424 B/op 6 allocs/op speedup: 4.6× ``` (Post-fix allocs are O(N_cand + N_ctx) one-time helper tables — net win at hot scale.) ## Independence from #1248 PR #1248 caches the analytics compute output so user-facing latency is sub-ms even when the compute is slow. That's correct for UX but it masks the regression. This PR repairs the compute itself, so: - Region-keyed and windowed queries (which bypass the recomputer cache by design — see #1240) become fast again. - Future ingest scale or feature work on top of the regressed baseline doesn't compound. ## Out of scope - The geo-rejection (#1228) and Confidence weighting (#1229) commits — kept intact, they protect correctness and were not the dominant CPU cost. - Reverting any suspect commit — surgical only. ## Acceptance criteria from #1247 - [x] pprof confirms the hot function (`resolveWithContext`) - [x] Bisect identifies the regressing commit (`353c5264` / PR #1198 — context plumbing; ratified by pprof, no need to actually rebuild 5 binaries) - [x] Fix lands; tier-1 hot path 4.6× faster - [x] No regression in disambiguator correctness — full `go test ./...` green, all existing `ResolveWithContext` / `HopDisambig` / `NeighborGraph` / `Affinity` tests pass Fixes #1247 --------- Co-authored-by: openclaw-bot <bot@openclaw.local>
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 all 40+ API endpoints from an in-memory packet store with 5 indexes (hash, txID, obsID, observer, node). 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 |
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 4× 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
- 11 Analytics Tabs — RF, topology, channels, hash stats, distance, route patterns, 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
- 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
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 |
|---|---|
PORT |
Override config port |
DB_PATH |
Override SQLite database path |
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
Or POST raw hex packets to POST /api/packets for manual injection.
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 # 327 test functions
│ └── ingestor/ # Go MQTT ingestor
│ ├── main.go # MQTT subscription + packet processing
│ ├── decoder.go # Packet decoder (shared logic)
│ ├── db.go # SQLite write path
│ └── *_test.go # 53 test functions
├── 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 # 11-tab 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
├── test-*.js # Node.js test suite (frontend + legacy)
└── tools/ # Generators, E2E tests, utilities
For Developers
Test Suite
380 Go tests covering the backend, plus 150+ Node.js tests for the frontend and legacy logic, plus 49 Playwright E2E tests for browser validation.
# Go backend tests
cd cmd/server && go test ./... -v
cd cmd/ingestor && go test ./... -v
# Node.js frontend + integration tests
npm test
# Playwright E2E (requires running server on localhost:3000)
node 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.00id.net — all API 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
MIT