Converting input parameters to Pydantic base models

[raminqaf]

Hello! I am using your library to parametrize my tests! I am using Pydantic in my project and would like to use it to (de)serialize the input objects with it. My test case looks as follows:

test_object:
  - person:
      first_name: "John"
      last_name: "Doe"
    len: 4

class Person(BaseModel):
    first_name: str
    last_name: str
   
@pff.parametrize(schema=[pff.cast(person=Person)])
def test_object(person: Person, len: int):
    assert person.first_name == "John"
    assert len(person.first_name) == len

I don't know if I am using the schema and the cast correctly in this context, but I would like to convert the complex object into a base model. Alternatively, I can do this:

class Person(BaseModel):
    first_name: str
    last_name: str
   
@pff.parametrize
def test_object(person: dict, len: int):
    person_obj = Person(**person)
    assert person_obj.first_name == "John"
    assert len(person_obj.first_name) == len

which works, but it would be nice if the library could do the conversion on its own! Is there a way of doing this?