liquidraverandClaude Opus 5 ecf0b371ba fix(ingestor): walk the prune batch off idx_transmissions_first_seen
Review follow-up for #2000, found in review by @efiten.

Ordering the batch subquery by id made SQLite abandon
idx_transmissions_first_seen for a rowid SCAN. While rows are being
deleted that costs nothing - the oldest rows have the lowest rowids and
match at once - but the batch that finds nothing walks the whole table
under writerMu, once per statement. That empty batch is the steady
state on any instance where nothing has aged out yet.

Reproduced on 1M transmissions:

    ORDER BY id              SCAN transmissions               empty 73.22ms
    ORDER BY first_seen, id  COVERING INDEX (first_seen<?)    empty 10us

Order by (first_seen, id) instead. The index carries the rowid as its
tiebreaker, so the plan is identical to plain first_seen while the LIMIT
stays deterministic on tied timestamps. Both DELETE statements now build
from one shared subquery constant, so they cannot drift apart.

End the loop on a short batch rather than an empty one: a batch that
returns fewer rows than its limit already proves nothing is left below
the cutoff. That saves the terminating round-trip in every run except
when the aged rows are an exact multiple of the batch size.

Document that hold time scales with observations per transmission, not
with the transmission bound.

Tests:
- TestPruneAgedTransmissionIDsUsesFirstSeenIndex asserts the plan of the
  subquery and of both statements: uses idx_transmissions_first_seen, no
  SCAN transmissions, no temp b-tree sort. It fails against ORDER BY id
  on all three statements; the transaction-count tests cannot see it.
- TestPruneOldPacketsExactMultipleTerminates covers the one case the
  short-batch exit cannot catch.
- TestPruneOldPacketsDeletesInBoundedBatches now expects 3 transactions
  (2 full + 1 partial) instead of 4.

go test -race ./... passes on origin/master plus this change
(492.7s, 0 data races).

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-09-11 07:03:48 +02:00
2026-04-05 06:36:03 +00:00
2026-03-20 05:38:23 +00:00

CoreScope

Go Server Coverage Go Ingestor Coverage E2E Tests Frontend Coverage Deploy

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
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 4× speed.

Live VCR playback — watch packets flow across the Bay Area mesh

📦 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.

Packets view

🗺️ Network Overview

At-a-glance mesh stats — node counts, packet volume, observer coverage.

Network overview

📊 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.

Node analytics

💬 Channel Chat

Decoded group messages with sender names, @mentions, timestamps — like reading a Discord channel for your mesh.

Channels

📱 Mobile Ready

Full experience on your phone — proper touch controls, iOS safe area support, and a compact VCR bar.

Live view on iOS

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

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

  1. Flash an observer node with MESH_PACKET_LOGGING=1 build flag
  2. Connect via USB to a host running meshcoretomqtt
  3. Configure meshcoretomqtt with your IATA region code and MQTT broker address
  4. 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

GPL-3.0-or-later

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