API Input CSS rework:
- Remove led_count field from ApiInputColorStripSource (always auto-sizes)
- Add segment-based payload: solid, per_pixel, gradient modes
- Segments applied in order (last wins on overlap), auto-grow buffer
- Backward compatible: legacy {"colors": [...]} still works
- Pydantic validation: mode-specific field requirements
Test preview:
- Enable test preview button on api_input cards
- Hide LED/FPS controls for api_input (sender controls those)
- Show input source selector for all CSS tests (preselected)
- FPS sparkline chart using shared createFpsSparkline (same as target cards)
- Server only sends frames when push_generation changes (no idle frames)
HAOS integration:
- New light.py: ApiInputLight entity per api_input source (RGB + brightness)
- turn_on pushes solid segment, turn_off pushes fallback color
- Register wled_screen_controller.set_leds service for arbitrary segments
- New services.yaml with field definitions
- Coordinator: push_colors() and push_segments() methods
- Platform.LIGHT added to platforms list
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
WLED Screen Controller - Server
High-performance FastAPI server that captures screen content and controls WLED devices for ambient lighting.
Overview
The server component provides:
- 🎯 Real-time Screen Capture - Multi-monitor support with configurable FPS
- 🎨 Advanced Processing - Border pixel extraction with color correction
- 🔧 Flexible Calibration - Map screen edges to any LED layout
- 🌐 REST API - Complete control via 17 REST endpoints
- 💾 Persistent Storage - JSON-based device and configuration management
- 📊 Metrics & Monitoring - Real-time FPS, status, and performance data
Quick Start
Option 1: Docker (Recommended)
# Start server
docker-compose up -d
# View logs
docker-compose logs -f
# Stop server
docker-compose down
Server runs on: http://localhost:8080
Option 2: Python
# Create virtual environment
python -m venv venv
# Activate
source venv/bin/activate # Linux/Mac
venv\Scripts\activate # Windows
# Install dependencies
pip install .
# Set PYTHONPATH
export PYTHONPATH=$(pwd)/src # Linux/Mac
set PYTHONPATH=%CD%\src # Windows
# Run server
uvicorn wled_controller.main:app --host 0.0.0.0 --port 8080
Installation
Requirements
- Python 3.11+ (for Python installation)
- Docker & Docker Compose (for Docker installation)
- WLED device on your network
See ../INSTALLATION.md for comprehensive installation guide.
Configuration
Configuration File
Edit config/default_config.yaml:
server:
host: "0.0.0.0"
port: 8080
log_level: "INFO"
processing:
default_fps: 30 # Target frames per second
max_fps: 60 # Maximum allowed FPS
border_width: 10 # Pixels to sample from edge
wled:
timeout: 5 # Connection timeout (seconds)
retry_attempts: 3 # Number of retries
storage:
devices_file: "data/devices.json"
logging:
format: "json"
file: "logs/wled_controller.log"
Environment Variables
# Server configuration
export WLED_SERVER__HOST="0.0.0.0"
export WLED_SERVER__PORT=8080
export WLED_SERVER__LOG_LEVEL="INFO"
# Processing configuration
export WLED_PROCESSING__DEFAULT_FPS=30
export WLED_PROCESSING__BORDER_WIDTH=10
# WLED configuration
export WLED_WLED__TIMEOUT=5
Usage
WLED Device Setup
Important: Configure your WLED device using the official WLED web interface before connecting it to this controller:
- Access WLED Interface: Open
http://[wled-ip]in your browser - Configure Device Settings:
- Set LED count and type
- Configure brightness, color order, and power limits
- Set up segments if needed
- Configure effects and presets
This controller only sends pixel color data - it does not manage WLED settings like brightness, effects, or segments. All WLED device configuration should be done through the official WLED interface.
API Documentation
- Web UI: http://localhost:8080 (recommended for device management)
- Swagger UI: http://localhost:8080/docs
- ReDoc: http://localhost:8080/redoc
Quick Example
# 1. Add device
curl -X POST http://localhost:8080/api/v1/devices \
-H "Content-Type: application/json" \
-d '{"name":"Living Room","url":"http://192.168.1.100","led_count":150}'
# 2. Start processing
curl -X POST http://localhost:8080/api/v1/devices/{device_id}/start
# 3. Check status
curl http://localhost:8080/api/v1/devices/{device_id}/state
Testing
# Run all tests
pytest
# Run with coverage
pytest --cov=wled_controller --cov-report=html
# Run specific test
pytest tests/test_screen_capture.py -v
Development
Project Structure
src/wled_controller/
├── main.py # FastAPI application
├── config.py # Configuration
├── api/ # API routes
├── core/ # Core functionality
│ ├── screen_capture.py
│ ├── wled_client.py
│ ├── calibration.py
│ └── processor_manager.py
├── storage/ # Data persistence
└── utils/ # Utilities
Code Quality
# Format code
black src/ tests/
# Lint code
ruff check src/ tests/
License
MIT - see ../LICENSE