data-modeling

The way it is now:

If collecting commit data fails due to a git checkout error (e.g. permissions error on the repo directory, missing git executable, etc.), the Repo nevertheless gets marked as "Update" and no attempt is made to ever check out the repo again.

The way it should be:

If a worker can't check out a git repo, or can't extract data from it, it should keep retrying until the situ

Describe the bug
In #17 we encountered an issue where the model validation tests failed non-deterministically due to an in-place mutation of the simple model we use for most of our tests resulting in the wrong exception being thrown. The short term issue was addressed in #18, but this was a quick hack patch rather than a holistic solution.

Steps To Reproduce

1. Find all of the locatio

faldbt object already has access to the manifest; we need to pass it here in the exec method. We probably want to pass the dbt manifest directly rather than the fal wrapper as we dont want the fal wrapper to be our public api.

https://github.com/fal-ai/fal/blob/8f17b4f32c96f8d3e2fbb1534ccebca3a9276bcf/src/fal/run_scripts.py#L22-L47

File "/Users/cjm/Library/Caches/pypoetry/virtualenvs/linkml-performance-test-X1kqiD32-py3.9/lib/python3.9/site-packages/linkml/generators/pydanticgen.py", line 186, in serialize
pyschema = SchemaDefinition(id=schema.id, name=schema.name, description=schema.description.replace(""", "\""))
AttributeError: 'NoneType' object has no attribute 'replace'

https://github.com/JPHaus/data-engineering-wiki/blob/main/Tools/Apache%20Spark.md

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How are you using Studio?

Legend Studio

What problems are you trying to solve?

Right now, Studio allows users to make duplication mistakes without any sort of warnings because we rely on engine to throw compilation errors, however, this does not seem to be the case (but that's a separate issue that w