Support pydantic date types

[edmundhighcock]

Support the special type hints that pydantic provides to give more control over validating dates.

Enable Pydantic custom datetime type hints

Pydantic has some additional classes that you can use as type hints to give more control over validating dates.

https://docs.pydantic.dev/2.0/usage/types/datetime/#pydantic-date-types

[dantheman39]

Thanks for this @edmundhighcock !

Could you please add some unit test coverage? This might be a good place to look:

graphene-pydantic/tests/test_converters.py

Lines 54 to 67 in c1e4719

	@pytest.mark.parametrize(
	"input, expected",
	[
	((bool, False), graphene.Boolean),
	((float, 0.1), graphene.Float),
	((int, 6), graphene.Int),
	((str, "hi"), graphene.String),
	((uuid.UUID, uuid.uuid4()), graphene.UUID),
	((datetime.date, datetime.date(2019, 1, 1)), graphene.Date),
	((datetime.time, datetime.time(15, 29)), graphene.Time),
	((datetime.datetime, datetime.datetime(2019, 1, 1, 1, 37)), graphene.DateTime),
	],
	)
	def test_builtin_scalars(input, expected):

[edmundhighcock]

Thanks for this @edmundhighcock !

Could you please add some unit test coverage? This might be a good place to look:

graphene-pydantic/tests/test_converters.py

Lines 54 to 67 in c1e4719

	@pytest.mark.parametrize(
	"input, expected",
	[
	((bool, False), graphene.Boolean),
	((float, 0.1), graphene.Float),
	((int, 6), graphene.Int),
	((str, "hi"), graphene.String),
	((uuid.UUID, uuid.uuid4()), graphene.UUID),
	((datetime.date, datetime.date(2019, 1, 1)), graphene.Date),
	((datetime.time, datetime.time(15, 29)), graphene.Time),
	((datetime.datetime, datetime.datetime(2019, 1, 1, 1, 37)), graphene.DateTime),
	],
	)
	def test_builtin_scalars(input, expected):

Sorry for the slow reply. Yes, will happily do this as soon as I have time.