I have the following challenge:

I am getting data from a database in json format / as dict.
This works great when I am directly grabbing the data in the query and "upgrading" it to the defined and in meta class registered pedantic data model.

Example:

class GrapheneModel(PydanticObjectType):
    class Meta:
        model = PydanticModel

...
class Queries(ObjectType):
    examples = List(
        GrapheneModel
    )

    @staticmethod
    def resolve_examples(root, info, **kwargs):
        result = fetch_from_db() # return a list of dicts
        return [PydanticModel.model_validate(q) for q in result]

But I also have other cases where I come through an interface.
I can overlay the is_type_of method to get to the right GrapheneModel, but the data that comes in is then a dict, which does not work... Do you guys have an idea how the data can be upgraded within the Graphene Model?
I cannot do it in the interface as I do not know the type there...
Thanks for any advise.