Alex BandClaude Opus 5.5 8a3b923e81 perf(scope-stats): keep the per-region count on the first_seen index (#2166)
## Summary

`/api/scope-stats` averaged **2.6 s on one production instance (max 17.7
s)**, whatever the window. Four of its five queries take 10-100 ms on
that database. The fifth, the per-region count, took **2.5-2.9 s for
every window, 1h included**: SQLite chose `idx_tx_scope_name`
(`scope_name > ''`) and walked every scoped transmission ever stored (45
days of them), filtering by `first_seen` afterwards.

```
SEARCH transmissions USING INDEX idx_tx_scope_name (scope_name>?) | USE TEMP B-TREE FOR ORDER BY
```

A unary `+` on every `scope_name` reference in that query (`WHERE …
+scope_name …`, `GROUP BY +scope_name`) stops the planner using that
index. The query then searches the window on
`idx_transmissions_first_seen` and groups in a temp b-tree, the same
idiom the `advertsByRole` query in the same function already uses for
`payload_type`. Putting `+` in the `WHERE` alone is not enough: the
planner then walks `idx_tx_scope_name` to avoid sorting for the `GROUP
BY`, which is just as slow; the `GROUP BY +scope_name` is what fixes it.

```
SEARCH transmissions USING INDEX idx_transmissions_first_seen (first_seen>?) | USE TEMP B-TREE FOR GROUP BY | USE TEMP B-TREE FOR ORDER BY
```

Related to #2146, which lists `/api/scope-stats` (2.3 s average on one
instance) and records the 24 h summary as 7 ms warm there. On the
instance measured here the per-region query planned onto
`idx_tx_scope_name` and took 2.5-2.9 s for every window; this PR fixes
that plan. Not marked as a fix: #2146 is about pool and lock waits.

## Results are identical

On a copy of the production database, the old and new query run inside
**one read transaction** (same snapshot) return exactly the same rows
for 1h, 24h, 7d and 45d (5, 10, 12 and 18 regions; 73, 2,024, 13,822 and
76,083 transmissions). `TestScopeStatsByRegion_CountsMatchWindow` also
checks the per-region counts against a direct count of the window.

## Performance

### The query alone, on a copy of the production database

311k transmissions, 76k of them region-scoped over 45 days; best of
three:

| window | before | after |
|---|---|---|
| 1h | 2,530 ms | 0.1 ms |
| 24h | 2,570 ms | 11.6 ms |
| 7d | 2,876 ms | 124 ms |

### The endpoint, on staging

Cold `GET /api/scope-stats` (the response cache is 30 s, so each sample
is a full compute) on a staging host with a copy of a production
database and its live feed; two samples each, 32 s apart:

| window | master | this PR |
|---|---|---|
| 1h | 3.08 s, 2.83 s | **16 ms, 12 ms** |
| 24h | 2.69 s, 2.79 s | **131 ms, 101 ms** |
| 7d | 3.35 s, 4.53 s | **626 ms, 663 ms** |

### Go benchmark

`BenchmarkGetScopeStats24h`: all five scope-stats queries for 24h, on
300k transmissions spread over 45 days (a quarter region-scoped), with
production's tables and both competing indexes and `ANALYZE` run as
production does (#2072). 10 runs:

```
cpu: AMD Ryzen 5 3600XT 6-Core Processor
                    │   master    │             this PR              │
GetScopeStats24h-12   33.186m ± 3%   8.058m ± 6%  -75.72% (p=0.000 n=10)
```

The fixture is smaller and better cached than production, which is why
the absolute times are lower than above; the plan change is the same.

## Tests

- Red commit `a7dcf98f`: moves the query into `scopeStatsByRegionQuery`
(unchanged), adds the fixture, the benchmark,
`TestScopeStatsByRegion_UsesFirstSeenIndex` (`EXPLAIN QUERY PLAN` must
use `idx_transmissions_first_seen` and not `idx_tx_scope_name`; fails on
`master` with exactly the production plan shown above) and
`TestScopeStatsByRegion_CountsMatchWindow` (passes on both commits;
guards correctness).
- Green commit `f9ba986b`: the `+` hints and a comment explaining them.
- All existing scope-stats tests pass; `make test`: 16 of 16 modules
pass.

## Review notes

- Only the per-region query changes; the summary, non-transport,
time-series and adverts-by-role queries already search by `first_seen`.
- If `idx_transmissions_first_seen` were ever missing, the query would
still run correctly (full scan); `+` only removes `idx_tx_scope_name`
from consideration, unlike `INDEXED BY`, which would make the query
fail.
- `/api/scope-stats` still has no singleflight around its 30 s cache
(unlike stats, channels and the scope audit). With the query now well
under a second it matters much less; left for a separate change.

## SonarLint

SonarQube Community rules (the SonarLint engine) were run on the files
this PR touches, and only issues on lines it adds are listed.

- No issues on the added lines.

## Checked against the repo rules

- Rebased onto `master` (`673442cc`). Each red commit was re-run and
still fails on its assertions; each green commit passes (TDD.md).
- `make test`: all 16 modules pass. Frontend suites: all pass except
`test-issue-1956-release-routing.js`, which needs CI's `GITHUB_REF_NAME`
and fails the same way on `master` locally (#2160 addresses it).
- No private data: test fixtures and examples use the codes the existing
tests use (SJC/SFO/LAX, `#be`-style scopes).
- No new `map[string]interface{}`, no hard-coded colours. `git add` was
explicit, and there is one logical change per commit.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

https://claude.ai/code/session_01KaR4xu8gVykQBkH8yG8m6H

---------

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-10 21:22:02 +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
├── 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

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

# Or across all 14 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.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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