version: '3.8' services: db: image: mysql container_name: mydb environment: MYSQL_DATABASE: mydatabase MYSQL_ROOT_PASSWORD: secret volumes: - "./data:/var/lib/mysql" app: build: . container_name: myapp ports: - "5000:5000" depends_on: - db
version: '3.8' services: worker: build: ./worker container_name: myworker command: python worker.py volumes: - "./worker:/worker" environment: REDIS_URL: redis://redis:6379/0 depends_on: - redis redis: image: redis container_name: myredis ports: - "6379:6379"In this example, we define a project that consists of two containers: a worker and a Redis database. We specify the container configurations such as the build path, container name, command, volumes, environment variables, ports, and dependencies. This YAML file can be used to create, run, and stop the containers using the docker-compose command. Overall, Python compose.project is a useful package library for managing Docker containers within a project by defining container configurations in a YAML file. It simplifies the process of creating, running, and stopping multiple containers and enables one to build complex applications easily.