Sample request: Pydantic v2 converter

[cretz]

Describe the solution you'd like

Rename sample pydantic_converter to pydanticv1_converter (and tests/packages/dep-group/etc) and make a new pydantic_converter sample that works with v2

[JaneJeon]

I am setting up a new project and I would really appreciate this for the "type safety without having to redefine attributes twice" benefits!

In particular, the pydantic_encoder does not work anymore in v2: pydantic/pydantic#6652

[cretz]

Until the sample is present, you can apply the concepts/approaches of the custom conversion to whatever is needed for v2 without applying the specific code

[slingshotvfx]

@JaneJeon I am using pydantic 2 with temporal just by changing pydantic_encoder to to_jsonable_python:

from pydantic_core import to_jsonable_python

...
        # We let JSON conversion errors be thrown to caller
        return Payload(
            metadata={"encoding": self.encoding.encode()},
            data=json.dumps(value, separators=(",", ":"), sort_keys=True, default=to_jsonable_python).encode(),
        )

[SamZhangQingChuan]

@JaneJeon I am using pydantic 2 with temporal just by changing pydantic_encoder to to_jsonable_python:

from pydantic_core import to_jsonable_python

...
        # We let JSON conversion errors be thrown to caller
        return Payload(
            metadata={"encoding": self.encoding.encode()},
            data=json.dumps(value, separators=(",", ":"), sort_keys=True, default=to_jsonable_python).encode(),
        )

I am still getting

pydantic.errors.PydanticSchemaGenerationError: Unable to generate pydantic-core schema for <class 'datetime.datetime'>. Set `arbitrary_types_allowed=True` in the model_config to ignore this error or implement `__get_pydantic_core_schema__` on your type to fully support it.`

Does it work on your side?