Hi, I am trying to solve a problem with different repos using prefect 2. I have a repo for prefect itself and then repos for the DS projects. Each have virtual environments setup. I have simple flows setup that: 1. Creates a yaml file for each deployment and applying a schedule for each deployment visible in prefect cloud. 2. Run the scheduled tasks as k8s jobs. However when I'm pushing deployments from the DS repo it is registered but never actually run/triggered. I have also created another storage block for DS project, but this has not solved the problem.

Did you start the agent with the same work queue as the deployment when running the deployment?

Yes I did.

Have you tried to use the process infrastructure to see if the deployment runs?

No I will do that now!

Can you paste the command you use to create the deployment?

prefect deployment build run_model.py:run_xgboost

-n run_model_xgboost

-q kubernetes

-i kubernetes-job

-t model-run

-sb azure/azure-block

-o yaml-files/run_xgboost.yaml

--cron "15 8,9 * * *"

--override image=_.azurecr.io/__ ` --override namespace=prefect2

And what is your agent run command like?

command: - prefect - agent - start - '-q' - kubernetes

It should work independent of the name of the path. Is there a difference in dependencies between prefect_repo and data_science?

YES Khuyen!