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Use Case Scenario
I've two pydantic models. Each in his own module (file). One Model, the TUser depends on the TAddress.
address_model.py
class TAddress(BaseModel):
id: Optional[int]
address: Optional[constr(max_length=100, strip_whitespace=True)]
city: Optional[constr(max_length=80, strip_whitespace=True)]
postal_code: Optional[constr(max_length=15, strip_whitespace=True)]
country: Optional[constr(max_length=3)]
user_model.py
class TUser(BaseModel):
id: UUID = None
email: Optional[EmailStr]
address: Optional[TAddress]
is_active: Optional[bool]
is_email_verified: Optional[bool]
created_at: Optional[datetime.datetime]
If I use the TUser model know for my PydanticObjectType
class UserType(PydanticObjectType):
class Meta:
model = TUser
I get the following error message:
graphene_pydantic.converters.ConversionError: Don't know how to convert the Pydantic field ModelField(name='address', type=Optional[TAddress], required=False, default=None) (<class 'app.address.serializers.TAddress'>)
It seems like that there is a problem when using pydantic models from different modules that depends on each other.
What is the solution for this use case?
Any idea?
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