when I load my GCS block in python, it seems to work just fine. And deploying using the block as storage also seems fine, since the files end up in my bucket. But when I run the deployed flow, it tries to retrieve the file from the wrong path (my local working directory from which I deployed the flow)

Flow could not be retrieved from deployment.
Traceback (most recent call last):
  File "<frozen importlib._bootstrap_external>", line 846, in exec_module
  File "<frozen importlib._bootstrap_external>", line 982, in get_code
  File "<frozen importlib._bootstrap_external>", line 1039, in get_data
FileNotFoundError: [Errno 2] No such file or directory: '/Users/kevingrismore/Documents/simple-prefect/flows/flow.py'

I'm not sure why this would be happening since my deployment looks like this:

from prefect.deployments import Deployment
from prefect.infrastructure import KubernetesJob
from prefect.filesystems import GCS

from flow import my_kubernetes_flow

storage = GCS.load('prefect-bucket-access')
infrastructure = KubernetesJob.load('k8s-job')

deployment = Deployment.build_from_flow(
    storage=storage,
    infrastructure=infrastructure,
    flow=my_kubernetes_flow,
    name='test-deployment',
    work_queue_name='k8s-sources'
)

deployment.apply()

deploying from the CLI worked just fine. I think I might need some guidance on why this is happening, and whether I need to use deployment args like

path

and

entrypoint

to correct it