Phase 1 (Foundation): project skeleton, TOML config + Pydantic validation, MQTT bus wrapper, SQLite schema (9 tables), Click CLI, process supervisor. Phase 2 (Camera): RTSP capture via OpenCV, MOG2 motion detection with configurable sensitivity/zones, adaptive FPS recording (2fps idle/30fps motion) via FFmpeg subprocess, HLS live streaming, pre-motion ring buffer. Phase 3 (Web UI): Flask + Bootstrap 5 dark theme, 6 blueprints, Jinja2 templates (dashboard, kiosk 2x2 grid, events, sensors, recordings, settings), PWA with service worker + Web Push, full admin settings UI with config persistence. Remote Access: WireGuard tunnel configs, nginx reverse proxy with HLS caching + rate limiting, bandwidth-optimized remote HLS stream (426x240 @ 500kbps), DO droplet setup script, certbot TLS. 29 tests passing. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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1.8 KiB
Vigilar — Project Conventions
What is this?
DIY offline-first home security system. Python 3.11+, Flask + Bootstrap 5 dark theme, SQLite, MQTT internal bus, FFmpeg recording, HLS streaming.
Stack
- Web: Flask, Jinja2 templates, Bootstrap 5 (dark), hls.js for camera streams
- Backend: Python 3.11+, multiprocessing for subsystem isolation, paho-mqtt for internal bus
- Database: SQLite WAL mode via SQLAlchemy Core (not ORM)
- Camera: OpenCV (RTSP capture, MOG2 motion detection), FFmpeg subprocess (recording, HLS)
- Config: TOML (
config/vigilar.toml) validated by Pydantic v2 - CLI: Click
Code Style
- Ruff for linting, line length 100
- Type hints on all public functions
- No docstrings unless logic is non-obvious
- StrEnum for all string constants (see
vigilar/constants.py) - SQLAlchemy Core expressions, not ORM — no mapped classes
Architecture
- Each subsystem (camera, sensors, ups, events, alerts) runs in its own
multiprocessing.Process - All inter-process communication via local Mosquitto MQTT on 127.0.0.1:1883
- Web UI is Flask with Blueprints in
vigilar/web/blueprints/ - Templates in
vigilar/web/templates/, static assets invigilar/web/static/
Key Design Decisions
- Adaptive FPS: 2 FPS idle, 30 FPS on motion, 5-second ring buffer for pre-motion context
- HLS for multi-camera grid (bandwidth efficient), MJPEG fallback for single-camera low-latency view
- PWA with Web Push (VAPID) for mobile notifications
- AES-256 encrypted recordings (.vge files), key in /etc/vigilar/secrets/
- No cloud dependency, no external service calls in critical path
Commands
pip install -e ".[dev]"— install with dev depsvigilar start— launch all servicesvigilar config validate— check configpytest— run testsruff check vigilar/— lint