Dynamic pydantinc model creation

create_model.py

from pydantic import create_model


def create_pydantic_model(name: str, **kwargs):
    """
        Create a pydantic model.

        :param name: name of the BaseModel class to create.
        :param kwargs: BaseModel' fields.
    """
    
    pydantic_model = create_model(name, **kwargs)
    
    def func_decorator(function):
        def wrapper(*args, **kwargs):
            func_fields_values = [*args, *kwargs.values()]
            keys_to_values = zip(pydantic_model.__fields__.keys(), func_fields_values,)
            set_func_fields_values = {x: y for x, y in keys_to_values}
            func_model = pydantic_model(**set_func_fields_values)
            return function(*args, **kwargs, model_=func_model)
        return wrapper
    return func_decorator


@create_pydantic_model('FunctionNumber100', a=(int, ...), b=(int, 1))
def function_number_100(x: int, *, y: int, **kwargs,):
    model_ = kwargs.pop('model_')
    sum_ = model_.a + model_.b
    assert sum_ == 3 and model_.a == 1 and model_.b == 2


function_number_100(1, y=2)