Custom module use and management per page?

[kevinelliott]

Describe the Bug
Unable to import yaml because pyyaml module not installed in Docker image, however, is specific to only some pages. How might we be able to more easily manage this (such as with uv or requirements.txt)?

To Reproduce
import yaml or any other custom module in a page that does not exist inside of the Docker image.

Expected Behavior

Logs & Screenshots

System Information

• OS and version
• Python version
• Program version

Additional context
Add any other context about the problem here.

[markqvist]

I'm not sure what you mean here, can you elaborate? The nomadnet program does not use the yaml module anywhere.

[kevinelliott]

I'm not sure what you mean here, can you elaborate? The nomadnet program does not use the yaml module anywhere.

Let me clarify. Yes, nomadnet itself does not use the yaml module, but I would like to use the yaml module for custom mu pages.

[RFnexus]

@kevinelliott

Not an expert at Docker by any means, but if you're using the Docker image from the Dockerfile included in this repo, consider adding it system-wide on line 3 through python-yaml or through pip on line 8 through PyYAML. Same goes for any other packages you want to use for Micron files running with the Python interpeterer.

[kevinelliott]

@kevinelliott

Not an expert at Docker by any means, but if you're using the Docker image from the Dockerfile included in this repo, consider adding it system-wide on line 3 through python-yaml or through pip on line 8 through PyYAML. Same goes for any other packages you want to use for Micron files running with the Python interpeterer.

I did exactly this a few days ago, however, not every system (running python locally outside of docker) can modify the global packages (namely, macOS). This is fine of course, because you can modify the docker image to have the library you need globally and then just manage a local dev version of it using uv/pip. Just a little brittle!

It does make me want to consider NOT using the docker image for "production", but I do prefer it for simplicity. So I was hoping we could figure out a way to more dynamically allow modifications to the python modules for the docker image approach without requiring a rebuild via a custom Dockerfile.