Pydantic "exclude_unset" dict option doesn't work on experimental strawberry type
When creating a Pydantic model you can create an instance of it without Optional arguments, and when exporting as a dictionary you can pass 'exclude_unset' to exclude optional fields from the return dict. https://pydantic-docs.helpmanual.io/usage/exporting_models/
In [1]: from pydantic import BaseModel
In [2]: from typing import Optional
class User(BaseModel):
id: int
name: str
surname: Optional[str]
In [3]: user = User(id=1, name="Test")
In [4]: user.dict(exclude_unset=True)
Out[4]: {'id': 1, 'name': 'Test'}Feature Request Type
- Core functionality
- Alteration (enhancement/optimization) of existing feature(s)
- New behavior
Description
After creating a strawberry.experimental.pydantic.type which uses a pydantic model, you should be able to convert an instance of that type to_pydantic and export a dict the same way with 'exclude_unset' and return all fields that haven't been set but it returns all fields instead.
Example:
import strawberry
from typing import Optional
from pydantic import BaseModel
class User(BaseModel):
id: int
name: str
surname: Optional[str]
@strawberry.experimental.pydantic.type(model=User, all_fields=True)
class UserType:
pass
In [2]: user = UserType(id=1, name="Test")Actual output:
In [3]: user.to_pydantic().dict(exclude_unset=True)
Out[3]: {'id': 1, 'name': 'Test', 'surname': None}Expected output:
In [3]: user.to_pydantic().dict(exclude_unset=True)
Out[3]: {'id': 1, 'name': 'Test'}
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