@Marvin How do I create Prefect workers using docker/docker compose? How do I also add flows into scripts that are across different containers?

To create Prefect workers using Docker or Docker Compose and run flows across different containers, here's a concise guide based on the available resources: ### Creating Prefect Workers with Docker 1. Set up Docker Work Pool: - Navigate to the Work Pools tab in the Prefect UI. - Create a Docker work pool if it doesn't exist. This can be done using the Prefect CLI, which will automatically set default configurations for Docker. 2. Start a Worker: - Open a terminal where Prefect is installed and run the command to start a worker. This worker will poll the Prefect API for any scheduled flow runs to execute. - Keep this terminal active to allow the worker to continue picking up jobs. In production, consider running the worker as a daemonized process. 3. Docker Compose Setup: - You can use a

docker-compose.yaml

file to manage your Prefect infrastructure. An example can be found here. ### Running Flows Across Different Containers To add flows into scripts that are across different containers, you can: 1. Use Prefect's Flow API: - Define your flows using the

@flow

decorator from Prefect. This will allow you to manage and execute flows across different environments. 2. Deploy and Run Flows: - Use the Prefect CLI or API to deploy your flows. You can create deployments that specify which containers or environments the flows should run in. - A script example for running flows in Docker is available here. 3. View and Manage Flows: - After deploying, you can view the run details in the Prefect UI. This will help you monitor and manage the execution of your flows across different containers. For detailed instructions, you can refer to the Prefect documentation on Docker infrastructure examples and the tutorials on platform deployment. If you have specific questions about integrating with PyO3 or further details on your setup, feel free to ask.

Do I still have to install and start a worker manually on the local machine, even if I have a dockerized worker?

When using a dockerized worker in Prefect, you typically do not need to manually start a worker on your local machine. The worker runs within the Docker container, handling the polling and execution of flow runs. Here's how it generally works: 1. Dockerized Worker: - The worker is set up and started within a Docker container as specified in your

docker-compose.yaml

or Docker setup. - This containerized worker will handle all interactions with the Prefect API, polling for scheduled flow runs and executing them. 2. Local Machine: - If your worker is fully containerized, you do not need to start an additional worker on your local machine. The Docker container acts as an isolated environment, managing everything internally. 3. Considerations: - Ensure that your Docker container is configured correctly to communicate with the Prefect API. - In production, you might want to manage your Docker containers using orchestration tools like Kubernetes for better scalability and reliability. Thus, with a properly configured dockerized worker, manual intervention on the local machine is unnecessary. You can find more details on setting this up in the Prefect Docker infrastructure documentation.