Hi all! Can anyone help me with the following problem? My setup: Prefect server running in docker-compose on machine-1; Process work-pool running in Docker container on machine-2. Code is organized as a mono-repository on local GitLab. Deployments are defined in yaml files and executed in CI pipeline. It works well running flows that require the same requirements. But now I need to run specific flow with different requirements. In particular, I want to run flow code using specific Docker image on machine-2. And this image I can build only on machine-2. The flow will run only once a week, so I don't want to run dedicated work pool with it's image permanently, because the size of the image is 10 GB and I don't want to consume this amout if RAM in vain. How can I achieve this?

To specify volumes in

job_variables

for a Docker work pool deployment in Prefect 3.x, you'll need to pass the volumes as part of the job variables dictionary when deploying your flow. Here's a concise guide on how to do this: 1. Define Job Variables: You can define job variables in your deployment script or configuration file. These variables can include Docker-specific configurations like volumes. 2. Pass Job Variables: When deploying your flow, pass the job variables dictionary to the

job_variables

argument of the

.deploy()

method. This dictionary can include a

volumes

key, where you specify the Docker volumes you want to mount. 3. Example Configuration: Here's a simplified example of how you might configure this:

python
   from prefect import flow

   @flow
   def my_flow():
       # Your flow logic
       pass

   deployment = my_flow.deploy(
       name="my-docker-deployment",
       work_pool_name="my-docker-pool",
       job_variables={
           "volumes": ["/host/path:/container/path"]
       }
   )

4. UI and CLI: You can also override job variables via the Prefect UI or CLI using the

-jv

or

--job-variable

flag. For further details, you can refer to the Prefect Docker Infrastructure Examples and Customize Deployments documentation. If you have any specific configurations or need further assistance, feel free to ask!