are pydantic BeforeValidator and AfterValidator annotations supported?

[hottwaj]

Thanks!

[chainyo]

Hi, from my testing this is not working when you load data with polars and then validate the polars.DataFrame with the pre-defined model, e.g.:

data = polars.read_csv("data.csv", has_header=True)
try:
    Model.validate(data)
except Exception as e:
    print(e)

It doesn't work either this way:

data = Model.DataFrame.read_csv("data.csv", has_header=True)

BUT it works if you create the object directly: Model(*args, **kwargs)

[lmmx]

It looks like this is resolved now?

• [Feature] Add pre/post validators #49

[chainyo]

It looks like this is resolved now?

• [Feature] Add pre/post validators #49

I did another way but they aren't included in the patito package. I coded the application of the validators myself using polars method as much as possible in the loading methods I created to load data and validating it.