Hi folks -- we are evaluating Metaflow and having issues with the dependency management. After much fiddling, we have it working with our private GCP Artifact Repository with Metaflow + Netflix extensions. Would like to know how to get Metaflow to just read from either the user's

pip.conf

or

.pypirc

or explicitly point to a

pip.conf

file. Right now, I have token directly in the decorator (I couldn't seem to get keyring authorization to work). The more blocking issue is that the flow doesn't run when submitted to the Kubernetes cluster: we are getting a

ModuleNotFoundError: No module named 'metaflow'

error when issuing the following:

python example-flow.py --environment conda --with kubernetes run

This works locally:

python example-flow.py --environment conda   run

Running with Metaflow and Netflix extensions:

Metaflow 2.10.7+netflix-ext(1.0.7)