fix: SQLModel table model not validated (#1696)

* explicitly validate row dict

Signed-off-by: Alp Aribal <alparbal@gmail.com>

* move self.type into init

Signed-off-by: Alp Aribal <alparbal@gmail.com>

* rm unnecessary pylint ignore

Signed-off-by: Alp Aribal <alparbal@gmail.com>

* revert change, use pylint disable

Signed-off-by: Alp Aribal <alparbal@gmail.com>

* rm type from init, add back type ignore with specific rule

Signed-off-by: Alp Aribal <alparbal@gmail.com>

---------

Signed-off-by: Alp Aribal <alparbal@gmail.com>
Co-authored-by: Niels Bantilan <niels.bantilan@gmail.com>

pandera/engines/pandas_engine.py

@@ -1121,7 +1121,7 @@ def from_parametrized_dtype(cls, pd_dtype: pd.IntervalDtype):
 class PydanticModel(DataType):
  """A pydantic model datatype applying to rows in a dataframe."""
 
- type: Type[BaseModel] = dataclasses.field(default=None, init=False) # type: ignore # noqa
+ type: Type[BaseModel] = dataclasses.field(default=None, init=False) # type: ignore[assignment]
  auto_coerce = True
 
  # pylint:disable=super-init-not-called
@@ -1140,11 +1140,11 @@ def _coerce_row(row):
  cases.
  """
  try:
- # pylint: disable=not-callable
+ # pylint: disable=no-member
  if PYDANTIC_V2:
- row = self.type(**row).model_dump()
+ row = self.type.model_validate(row).model_dump()
  else:
- row = self.type(**row).dict()
+ row = self.type.parse_obj(row).dict()
  row["failure_cases"] = np.nan
  except ValidationError as exc:
  row["failure_cases"] = {