Team, My python program saves a csv file as an output in the same directory as of program, when I am trying to run this pipeline through prefect:2.0 cloud, I am getting this error. How I can get rid of it? The storage is configured by prefect itself, and when I am trying to specify storage block, deployment.yaml file is not being created. Also, Any working prefect 2.0 example which utilizes remote storage?

could it be that you want to avoid uploading this CSV file to your storage? if so, you can add it to .prefectignore

csv file is required since thats my output but it is saved somewhere in temps. And this is working solution without deployment @Anna Geller

@Hafsa Junaid do you still have the tmp file issue?

@Open AIMP Yes file is saving in temp and that path is not supported

@Hafsa Junaid, generally speaking, flow and task runs are supposed to be stateless. I would encourage you to persist your data in a database, S3 or similar - this is data engineering best practice, too

@Anna Geller okay I understand this, but when I am referring block name in deployment command

prefect deployment build ./als_labtest.py:als_labtest --name "alslabtest" -sb GCS/gcsblock

I am getting error, and as per your suggestion, i was not referring to any storage block and deployment was successful, but now it is saving files on temp anonymous location.

Can you share Screenshot of your block from the UI? Redact private information