from collections.abc import Callable

import pandas as pd
from pydantic import BaseModel, ValidationError


class ValidationInterseptor:
    def __init__(self, model: BaseModel):
        self.model = model
        self.not_valid_rows = []

    def __call__(self, func: Callable[..., pd.DataFrame]):
        def wrapped(*args, **kwrds):
            res = func(*args, **kwrds)
            df_dict = res.to_dict(orient="records")
            valid_rows = []
            for i, r in enumerate(df_dict):
                try:
                    self.model(**r)
                except ValidationError:
                    r["ValidationInterseptorFunc"] = func.__name__
                    r["ValidationInterseptorArgs"] = args
                    r["ValidationInterseptorKwrds"] = kwrds
                    r["ValidationInterseptorIndex"] = i
                    self.not_valid_rows.append(r)
                else:
                    valid_rows.append(r)
            return pd.DataFrame.from_records(valid_rows)

        return wrapped