Hi all, I am doing the migration from Prefect 1 to Prefect 2. Context: - Using Prefect Cloud - Using GCP (Prefect Agent running on VM, Cloud Run for execution of flows) - Github as storage I have gotten everything running in a production like environment. However I am now running into problems with downloading the src code before execution. I get the error:

prefect.exceptions.ScriptError: Script at 'src/flows/flow.py' encountered an exception: FileNotFoundError(2, 'No such file or directory')

We are using a monorepo where the prefect code sits in a subdirectory called “pipeline”. For deployment I am using the python SDK as such:

deployment = Deployment.build_from_flow(
        flow=flow,
        name=target_env,
        version=3,
        path="pipeline",
        work_queue_name=target_env,
        tags=[target_env],
        infrastructure=infrastructure_block,
        storage=storage_block,
    )

As mentioned it was working in my other environment when I did not use a subdirectory and did not provide a path. I have searched thoroughly in discourse, Slack, documentation and in the source code it self, but am running out of options. Does anyone see an error with the deployment or have suggestions on resources I can follow to get it working?

What’s the actual path in your environment? Why do you have

path="pipeline"

here ? Path should be a qualified path to the entrypoint, but I believe if you are using a storage block shouldn’t be necessary - just the entrypoint itself

Hi Christopher, Thank you for the reply! The reason why I did the path=“pipeline” is because I did some digging in the prefect src-code and it seems that Github.get-directory uses the path from the deployment to clone a specific repository.

The entrypoint is always explicitly needed, the path is not and is relative - for example, the best immediately example I have uses docker / kubernetes, but the default workdir in a prefect image is

/opt/prefect

. If I do something like this for the docker image:

COPY flow.py /opt/prefect/flows/

Then my deployment is like:

deployment = Deployment.build_from_flow(
    flow=flow,
    name="Test HealthCheck Deployment",
    version=1,
    flow_name="healthcheck",
    work_queue_name="kubernetes",
    infrastructure=k8s_job,
    #Add Docker path to flow
    path="/opt/prefect/flows",
    #Add Docker entrypoint relative to path
    entrypoint="healthcheck.py:healthcheck"
)

Thanks a lot for that explanation, that clarifies things a lot! If you don’t mind could you explain where the

'home/runner/work'

path comes from as well ? And are there any resources where I can read about caching? Because I got it working when I upgraded the name of the deployment. Again - thanks a lot!!