plugins Kedro

[zilto]

Added a plugin to convert Kedro Pipeline objects to Hamilton Driver. This allows Kedro users to benefit from the ergonomics of Hamilton and it's powerful Hamilton UI observability features.

Changes

• added hamilton/plugins/h_kedro.py with the Pipeline to Driver conversion
• added hamilton/examples/kedro/kedro-plugin/ with a README and a tutorial notebook

How I tested this

• the test coverage is low, but we manually made sure pipelines could run and successfully be captured by the Hamilton UI. Issues wouldn't be surprising as Kedro users try it with less common usage patterns.
• added tests/plugins/test_h_kedro.py. It focuses on the supporting Kedro nodes that return multiple values while Hamilton nodes return a single value (and may use @extract_fields).

[sweep-ai]

Sweep: PR Review

examples/kedro/README.md

Updated the description of hamilton-code/ to use "Hamilton library" and added a new entry for kedro-plugin/ to the content list.

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examples/kedro/kedro-code/src/kedro_code/pipelines/data_science/nodes.py

Added a return type annotation -> None to the evaluate_model function to explicitly indicate it does not return any value.

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hamilton/function_modifiers/base.py

Added "kedro" to the list of plugin modules to be loaded by the registry.

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requirements-test.txt

Added the kedro package to the list of dependencies in requirements-test.txt.

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[zilto]

For Python <3.11, @extract_fields had a bug. This is fixed in 387cdc2.

Essentially, the condition isinstance(Any, type) returns False in Python < 3.11. Here's a repro of the bug on Python 3.10

from typing import Any
from hamilton.function_modifiers import extract_fields

@extract_fields(dict(B=Any, C=Any))
def A() -> dict:
    return dict(B=True, C=1)
    
if __name__ == "__main__":
    import __main__
    from hamilton import driver
    
    dr = driver.Builder().with_modules(__main__).build()
    res = dr.execute(["B", "C"])

Traceback (most recent call last):
  File "/home/tjean/projects/dagworks/hamilton/bug.py", line 6, in <module>
    @extract_fields(dict(
  File "/home/tjean/projects/dagworks/hamilton/hamilton/function_modifiers/expanders.py", line 748, in __init__
    _validate_extract_fields(fields)
  File "/home/tjean/projects/dagworks/hamilton/hamilton/function_modifiers/expanders.py", line 728, in _validate_extract_fields
    raise base.InvalidDecoratorException(
hamilton.function_modifiers.base.InvalidDecoratorException: Error, found these ['B does not declare a type. Instead it passes typing.Any.', 'C does not declare a type. Instead it passes typing.Any.']. Please pass in a dict of string to types. 

I previously discussed the issue with @elijahbenizzy in the context of this plugin, but I'm now fixing it given the bug it broader than the plugin itself

[skrawcz]

I think this looks good. I haven't tested it but from the demo you showed it works. I would squash commit and write up any design decisions in the commit.