A service for optimizing images by converting them to WebP or AVIF formats.
- Docker
- Docker Compose
All configuration is done through environment variables. You can set these in the .env file.
Database Configuration:
POSTGRES_USER: PostgreSQL username (default: postgres)POSTGRES_PASSWORD: PostgreSQL password (default: postgres)POSTGRES_DB: PostgreSQL database name (default: image_optimizer)DB_PORT: Port to expose PostgreSQL on the host (default: 5432)
App Configuration:
APP_PORT: Port to expose the Flask app on the host (default: 5000)APP_WORKERS: Number of Gunicorn workers for the app (default: 2)
Worker Configuration:
WORKER_REPLICAS: Number of worker containers to run (default: 2)WORKER_THREADS: Number of threads per worker container (default: 2)POLL_INTERVAL: Interval in seconds for workers to poll for new tasks (default: 1)
Image Conversion Settings:
STORAGE_PATH: Path to store converted images (default: /app/images)WEBP_QUALITY: WebP compression quality (default: 80)WEBP_METHOD: WebP compression method (default: 4)AVIF_QUALITY: AVIF compression quality (default: 65)AVIF_SPEED: AVIF compression speed (default: 6)
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Clone the repository:
git clone <repository-url> cd image_optimizer -
Configure the environment variables in the
.envfile (optional):# Edit the .env file to customize settings nano .env -
Build and start the containers:
docker-compose up -d -
Check the status of the containers:
docker-compose ps -
View logs:
docker-compose logs -f
To scale the number of worker containers:
# Update the WORKER_REPLICAS in .env file
# Then restart the services
docker-compose up -d
docker-compose down
To remove all data (including the database volume):
docker-compose down -v
Convert an image to WebP format:
GET http://localhost:5000/https://example.com/image.jpg?format=webp
Convert an image to AVIF format:
GET http://localhost:5000/https://example.com/image.jpg?format=avif