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Author SHA1 Message Date
Aaron D. Lee
767bbf26ba Add .worktrees/ and .superpowers/ to .gitignore 
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-03 13:02:10 -04:00
Aaron D. Lee
0c0f484cdf Add pet-aware security features implementation plan 
18 tasks covering: YOLOv8 detector, pet ID classifier, wildlife threat
classification, crop management, alert integration, web UI, and training.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-03 13:00:45 -04:00
Aaron D. Lee
4b8da811df Add pet-aware security features design spec 
Covers pet detection (YOLOv8), pet ID classifier, wildlife threat
tiers, zone-based alerting, training UI, and pet dashboard.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-03 12:50:14 -04:00
Aaron D. Lee
11d776faa6 Add smart alert profiles and recording timeline (Tasks 4-5) 
Task 4 — Alert Profiles: presence-aware + time-of-day alert routing.
Profiles match household state (EMPTY/KIDS_HOME/ADULTS_HOME/ALL_HOME)
and time windows (sleep hours). Per-detection-type rules control
push/record/quiet behavior with role-based recipients (all vs adults).

Task 5 — Recording Timeline: canvas-based 24h timeline per camera
with color-coded segments (person=red, vehicle=blue, motion=gray).
Click-to-play, date picker, detection type filters, hour markers.
Timeline API endpoint returns segments for a camera+date.

All 5 daily-use feature tasks complete. 140 tests passing.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-03 00:09:08 -04:00
Aaron D. Lee
8314a61815 Add presence detection, person/vehicle AI detection, health monitoring 
Task 1 — Presence: ping family phones, derive household state
(EMPTY/KIDS_HOME/ADULTS_HOME/ALL_HOME), configurable departure delay,
per-member roles, auto-arm actions via MQTT.

Task 2 — Detection: MobileNet-SSD v2 via OpenCV DNN for person/vehicle
classification. Vehicle color/size fingerprinting for known car matching.
Zone-based filtering per camera. Model download script.

Task 3 — Health: periodic disk/MQTT/subsystem checks, auto-prune oldest
non-starred recordings on disk pressure, daily digest builder.

126 tests passing.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-03 00:06:45 -04:00
Aaron D. Lee
8a65ac8c69 Add implementation plan for daily use features 
5-task plan covering presence detection, person/vehicle AI detection,
smart alert profiles, recording timeline UI, and health monitoring.
Tasks 1-3 parallelizable, 4 depends on 1+2, 5 depends on 2.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-03 00:01:53 -04:00
Aaron D. Lee
53ae925a70 Add daily use features design spec 
Spec covers 5 feature areas for making Vigilar a system a household
relies on daily: multi-person presence detection, MobileNet person +
vehicle detection with driveway fencing, smart alert profiles with
presence/time awareness, recording timeline UI, and health monitoring
with auto-prune and daily digest.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-02 23:42:29 -04:00
Aaron D. Lee
ebcc49b474 Add kiosk setup and deployment scripts (Phases 5 + 9) 
Phase 5 — RPi Kiosk:
- setup_kiosk.sh: full RPi OS Lite setup (X11, Chromium kiosk mode,
  auto-login, DPMS disabled, GPU memory split, screen rotation)
- kiosk.service: systemd unit for reliable auto-start
- update_kiosk.sh: reconfigure URL/rotation/resolution without re-setup
- Handles both Bullseye and Bookworm RPi OS versions

Phase 9 — Hardening + Deployment:
- install.sh: full server setup (apt/pacman, vigilar user, venv,
  directories, permissions, mosquitto config, systemd units)
- gen_cert.sh: TLS cert via mkcert or openssl fallback
- gen_vapid_keys.sh: VAPID keys for Web Push notifications
- setup_nut.sh: NUT configuration with USB UPS auto-detection
- backup.sh: SQLite snapshot + config archive, cron-ready
- uninstall.sh: clean removal with data preservation option
- vigilar.service: hardened systemd unit (ProtectSystem, NoNewPrivileges,
  PrivateTmp, syscall filtering)
- vigilar-mosquitto.conf: localhost-only MQTT broker config

All scripts idempotent, bash -n validated, support Debian + Arch.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-02 23:25:03 -04:00
Aaron D. Lee
10b0cf4d0e Add events/rules engine, sensor bridge, and UPS monitor (Phases 6-8) 
Phase 6 — Events + Rule Engine:
- EventProcessor subprocess: subscribes to all MQTT events, logs to DB,
  evaluates rules, fires alert actions
- ArmStateFSM: DISARMED/ARMED_HOME/ARMED_AWAY with PIN verification
  (HMAC-safe), DB persistence, MQTT state publishing
- RuleEngine: AND/OR logic, 4 condition types (arm_state, sensor_event,
  camera_motion, time_window), per-rule cooldown tracking
- SSE event stream with subscriber queue pattern and keepalive
- Event acknowledge endpoint

Phase 7 — Sensor Bridge:
- SensorBridge subprocess: subscribes to Zigbee2MQTT, normalizes payloads
  (contact, occupancy, temperature, humidity, battery, linkquality)
- GPIOHandler: conditional gpiozero import, callbacks for reed switches
  and PIR sensors
- SensorRegistry: maps Zigbee addresses and names to config sensor IDs
- SensorEvent/SensorState dataclasses
- Web UI now shows real sensor states from DB

Phase 8 — UPS Monitor:
- UPSMonitor subprocess: polls NUT via pynut2 with reconnect backoff
- State transition detection: OL→OB (power_loss), charge/runtime
  thresholds (low_battery, critical), OB→OL (restored)
- ShutdownSequence: ordered shutdown with configurable delay and command
- All conditionally imported (pynut2, gpiozero) for non-target platforms

Fixed test_db fixture to use isolated engines (no global singleton leak).
96 tests passing.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-04-02 23:17:53 -04:00
Aaron D. Lee
845a85d618 Initial commit: Vigilar DIY home security system 
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>
 2026-04-02 23:11:27 -04:00