Commit Graph

4 Commits

Author SHA1 Message Date
User
b1efb4ae3c docs: enhance CLAUDE.md with maintenance table
- Add table of key docs with "When to Update" guidance
- Include TASKS.md, TODO.md, ROADMAP.md, CHANGELOG.md
- Add deployment section with node update commands
- Add Multi-scanner sync and Termux support to key files

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-01 17:39:15 +01:00
User
91536860ad docs: update CLI commands to use python -m rf_mapper
- Replace rf-mapper with python -m rf_mapper throughout docs
- Add note about activating venv first
- Updated: CLAUDE.md, PROJECT.md, USAGE.md, CHEATSHEET.md, HOME_ASSISTANT.md

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-01 17:38:44 +01:00
User
7cc7c47805 feat: add Home Assistant integration and improve CLI/UI
Home Assistant Integration:
- New homeassistant.py module with webhook support
- Webhooks for scan results, new devices, and device departures
- Absence detection with configurable timeout
- Documentation in docs/HOME_ASSISTANT.md

CLI Improvements:
- Replace 'web' command with start/stop/restart/status
- Background daemon mode with PID file management
- Foreground mode for debugging (--foreground)

Web UI Enhancements:
- Improved device list styling and layout
- Better floor assignment UI
- Enhanced map visualization

Documentation:
- Add CHANGELOG.md
- Add docs/API.md with full endpoint reference
- Add docs/CHEATSHEET.md for quick reference
- Update project documentation

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-01 03:31:02 +01:00
User
52df6421be Initial commit: RF Mapper v0.3.0-dev
WiFi & Bluetooth signal mapping tool for Raspberry Pi with:
- WiFi scanning via iw command
- Bluetooth Classic/BLE device discovery
- RSSI-based distance estimation
- OUI manufacturer lookup
- Web dashboard with multiple views:
  - Radar view (polar plot)
  - 2D Map (Leaflet/OpenStreetMap)
  - 3D Map (MapLibre GL JS with building extrusion)
- Floor-based device positioning
- Live BT tracking mode (auto-starts on page load)
- SQLite database for historical device tracking:
  - RSSI time-series history
  - Device statistics (avg/min/max)
  - Movement detection and velocity estimation
  - Activity patterns (hourly/daily)
  - New device alerts
  - Automatic data retention/cleanup
- REST API for all functionality

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-02-01 00:08:21 +01:00