n30nex 2288e28d4e fix: publish release artifacts after successful image retagging (#1964)
Successful release fast paths publish image tags but never dispatch the
job that creates the GitHub release and decrypt binaries. Dispatch
`deploy.yml` from both image routes. A default-off `images_published`
input skips E2E and image rebuilding only for an already-published tag;
missing or mismatched images keep the complete fallback without
requiring new inputs on older workflow definitions.

Go validation still gates the release binaries, checkout and version
flags retain the tagged source, and the existing release action uploads
both architectures before publication. Missing binary files now fail
publication.

Fixes #1956.

Validation:

- `node test-issue-1956-release-routing.js` executes the actual workflow
shell steps with registry and dispatch commands stubbed. Covers
matching, missing and mismatched images; failed retag and Go validation;
branch/PR boundaries; and both tagged binary commands.
- The original test commit fails because a matching image dispatches
zero artifact workflows; the fix passes the same assertion.
- Existing release workflow Go checks, decrypt/channel tests, YAML
parsing and actionlint pass.
- Both static Linux amd64 and arm64 binaries cross-build with verified
architecture and version metadata.

Actual registry publication and GitHub release creation were not
exercised. Existing immutable releases and old tags that contain older
workflow definitions are outside this fix.

Following #1922, this is a focused release-routing PR. A separate repair
for #1858 rewrites the shared frontend test runner; merging this first
lets that repair retain this regression in its authoritative list.
Please assess current Go and E2E job results separately from
workflow-approval or staging-runner state.
2026-09-06 21:20:16 +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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