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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>
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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 -r requirements.txt
# 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