ae38cdefb4
## Summary Implements server-side hop prefix resolution at ingest time with a persisted neighbor graph. Hop prefixes in `path_json` are now resolved to full 64-char pubkeys at ingest and stored as `resolved_path` on each observation, eliminating the need for client-side resolution via `HopResolver`. Fixes #555 ## What changed ### New file: `cmd/server/neighbor_persist.go` SQLite persistence layer for the neighbor graph and resolved paths: - `neighbor_edges` table creation and management - Load/build/persist neighbor edges from/to SQLite - `resolved_path` column migration on observations - `resolvePathForObs()` — resolves hop prefixes using `resolveWithContext` with 4-tier priority (affinity → geo → GPS → first match) - Cold startup backfill for observations missing `resolved_path` - Async persistence of edges and resolved paths during ingest (non-blocking) ### Modified: `cmd/server/store.go` - `StoreObs` gains `ResolvedPath []*string` field - `StoreTx` gains `ResolvedPath []*string` (cached from best observation) - `Load()` dynamically includes `resolved_path` in SQL query when column exists - `IngestNewFromDB()` resolves paths at ingest time and persists asynchronously - `pickBestObservation()` propagates `ResolvedPath` to transmission - `txToMap()` and `enrichObs()` include `resolved_path` in API responses - All 7 `pm.resolve()` call sites migrated to `pm.resolveWithContext()` with the persisted graph - Broadcast maps include `resolved_path` per observation ### Modified: `cmd/server/db.go` - `DB` struct gains `hasResolvedPath bool` flag - `detectSchema()` checks for `resolved_path` column existence - Graceful degradation when column is absent (test DBs, old schemas) ### Modified: `cmd/server/main.go` - Startup sequence: ensure tables → load/build graph → backfill resolved paths → re-pick best observations ### Modified: `cmd/server/routes.go` - `mapSliceToTransmissions()` and `mapSliceToObservations()` propagate `resolved_path` - Node paths handler uses `resolveWithContext` with graph ### Modified: `cmd/server/types.go` - `TransmissionResp` and `ObservationResp` gain `ResolvedPath []*string` with `omitempty` ### New file: `cmd/server/neighbor_persist_test.go` 16 tests covering: - Path resolution (unambiguous, empty, unresolvable prefixes) - Marshal/unmarshal of resolved_path JSON - SQLite table creation and column migration (idempotent) - Edge persistence and loading - Schema detection - Full Load() with resolved_path - API response serialization (present when set, omitted when nil) ## Design decisions 1. **Async persistence** — resolved paths and neighbor edges are written to SQLite in a goroutine to avoid blocking the ingest loop. The in-memory state is authoritative. 2. **Schema compatibility** — `DB.hasResolvedPath` flag allows the server to work with databases that don't yet have the `resolved_path` column. SQL queries dynamically include/exclude the column. 3. **`pm.resolve()` retained** — Not removed as dead code because existing tests use it directly. All production call sites now use `resolveWithContext` with the persisted graph. 4. **Edge persistence is conservative** — Only unambiguous edges (single candidate) are persisted to `neighbor_edges`. Ambiguous prefixes are handled by the in-memory `NeighborGraph` via Jaccard disambiguation. 5. **`null` = unresolved** — Ambiguous prefixes store `null` in the resolved_path array. Frontend falls back to prefix display. ## Performance - `resolveWithContext` per hop: ~1-5μs (map lookups, no DB queries) - Typical packet has 0-5 hops → <25μs total resolution overhead per packet - Edge/path persistence is async → zero impact on ingest latency - Backfill is one-time on first startup with the new column ## Test results ``` cd cmd/server && go test ./... -count=1 → ok (4.4s) cd cmd/ingestor && go test ./... -count=1 → ok (25.5s) ``` --------- Co-authored-by: you <you@example.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 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
Docker (Recommended)
No Go installation needed — everything builds inside the container.
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
See docs/DEPLOYMENT.md for the full deployment guide — HTTPS options (auto cert, bring your own, Cloudflare Tunnel), MQTT security, backups, and troubleshooting.
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.
License
MIT