Kedro is an open-sourced Python framework for creating maintainable and modular data science code.

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I have two data preprocessing pipelines that differ only by *one node function*—the signature is identical, the name and the body are slightly different.
Can I create a modular pipeline where I am able to provide the function name that the node must call as its input?

An example would be:
```preprocessing_a = pipeline(pipe=preprocess, inputs={"params:function": "func_a"})
preprocessing_b = pipeline(pipe=preprocess, inputs={"params:function": "func_b"})```


I would do this with `importlib.import_module` and essentially call the function within your function

or if you know what you’re importing you can do something like this


```def some_func(df, target:str, path):
   writer = getattr(df,f'to_{target}')
   writer(path)

some_func(df, "csv", "/path/to/csv")
some_func(df, "parquet", "/path/to/pq"```