- Lazy-import tkinter in screen_overlay.py (TYPE_CHECKING + runtime
import) so the module loads on headless Linux CI without libtk8.6
- Fix test_wled_client.py: mock all HTTP endpoints with respx (info,
cfg, state) instead of hitting real network
- Fix test_calibration.py: assert numpy array shape instead of tuple
- Fix test_processor_manager.py: update to current API (async
remove_device, dict settings, no update_calibration)
- Fix test_screen_capture.py: get_edge_segments allows more segments
than pixels
341 tests passing, 0 failures.
- Replace segment-based calibration with core parameters (leds_top/right/bottom/left);
segments are now derived at runtime via lookup tables
- Fix clockwise/counterclockwise edge traversal order for all 8 start_position/layout
combinations (e.g. bottom_left+clockwise now correctly goes up-left first)
- Add pixel layout preview overlay with color-coded edges, LED index labels,
direction arrows, and start position marker
- Move "Add New Device" form into a modal dialog triggered by "+" button
- Add display index selector to device settings modal
- Migrate from requirements.txt to pyproject.toml for dependency management
- Update Dockerfile and docs to use `pip install .`
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This is a complete WLED ambient lighting controller that captures screen border pixels
and sends them to WLED devices for immersive ambient lighting effects.
## Server Features:
- FastAPI-based REST API with 17+ endpoints
- Real-time screen capture with multi-monitor support
- Advanced LED calibration system with visual GUI
- API key authentication with labeled tokens
- Per-device brightness control (0-100%)
- Configurable FPS (1-60), border width, and color correction
- Persistent device storage (JSON-based)
- Comprehensive Web UI with dark/light themes
- Docker support with docker-compose
- Windows monitor name detection via WMI (shows "LG ULTRAWIDE" etc.)
## Web UI Features:
- Device management (add, configure, remove WLED devices)
- Real-time status monitoring with FPS metrics
- Settings modal for device configuration
- Visual calibration GUI with edge testing
- Brightness slider per device
- Display selection with friendly monitor names
- Token-based authentication with login/logout
- Responsive button layout
## Calibration System:
- Support for any LED strip layout (clockwise/counterclockwise)
- 4 starting position options (corners)
- Per-edge LED count configuration
- Visual preview with starting position indicator
- Test buttons to light up individual edges
- Smart LED ordering based on start position and direction
## Home Assistant Integration:
- Custom HACS integration
- Switch entities for processing control
- Sensor entities for status and FPS
- Select entities for display selection
- Config flow for easy setup
- Auto-discovery of devices from server
## Technical Stack:
- Python 3.11+
- FastAPI + uvicorn
- mss (screen capture)
- httpx (async WLED client)
- Pydantic (validation)
- WMI (Windows monitor detection)
- Structlog (logging)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
alexei.dolgolyov