Dynamically import entrypoint in root __init__
Describe changes
The entrypoint module in the root __init__ is now imported dynamically only when accessed, which fixes the following runtime warning RuntimeWarning: 'zenml.entrypoints.entrypoint' found in sys.modules after import of package 'zenml.entrypoints', but prior to execution of 'zenml.entrypoints.entrypoint'; this may result in unpredictable behaviour.
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@stefannica Can you explain what the supposed circular import is here? If circular imports really were an issue here, it would not actually be running because they cause an exception.
I can try to explain the issue in more detail:
- For databricks, we essentially need the following: A
package_name(=zenmlin our case), as well as a string that points databricks to a function it can execute as the main entrypoint (we're passingentrypoint.main). What they do is essentially the following:
What this means for us is the we need a way to get to the entrypoint module from our rootresult = importlib.import(package_name) for name in entrypoint.split("."): result = getattr(result, name)__init__module usinggetattr(...). - For most our other orchestrators, we run the following command in a Docker container:
python -m zenml.entrypoints.entrypoint .... When this is being executed, Python first imports the rootzenml/__init__.pymodule. It then imports thezenml/entrypoints/__init__.pymodule. It then imports thezenml/entrypoints/entrypoint.pymodule. This last point is where we get the runtime warning, which tells us that the module it is trying to import (zenml.entrypoints.entrypoint) already exists insys.modulesas it was imported by the root__init__module already.
This PR implements a solution so that the first case is still possible (using the dynamic import behaviour) while making sure that our root __init__ doesn't actually import the entrypoint module in the second case.