wip: Initial work for first class pydantic usage

strawberry/experimental/pydantic/pydantic_first_class.py

@@ -0,0 +1,181 @@
+import dataclasses
+from typing import Callable, Dict, List, Optional, Sequence, Type
+
+from pydantic import BaseModel
+
+from strawberry.annotation import StrawberryAnnotation
+from strawberry.experimental.pydantic._compat import CompatModelField, get_model_fields
+from strawberry.experimental.pydantic.conversion_types import PydanticModel
+from strawberry.experimental.pydantic.fields import replace_types_recursively
+from strawberry.experimental.pydantic.utils import get_default_factory_for_field
+from strawberry.field import StrawberryField
+from strawberry.object_type import _get_interfaces
+from strawberry.types.types import StrawberryObjectDefinition
+from strawberry.utils.deprecations import DEPRECATION_MESSAGES, DeprecatedDescriptor
+from strawberry.utils.str_converters import to_camel_case
+
+
+def _get_strawberry_fields_from_basemodel(
+    model: Type[BaseModel], is_input: bool, use_pydantic_alias: bool
+) -> List[StrawberryField]:
+    """Get all the strawberry fields off a pydantic BaseModel cls
+    This function returns a list of StrawberryFields (one for each field item), while
+    also paying attention the name and typing of the field.
+    model:
+        A pure pydantic field. Will not have a StrawberryField; one will need to
+        be created in this function. Type annotation is required.
+    """
+    fields: list[StrawberryField] = []
+
+    # BaseModel already has fields, so we need to get them from there
+    model_fields: Dict[str, CompatModelField] = get_model_fields(model)
+    for name, field in model_fields.items():
+        converted_type = replace_types_recursively(field.outer_type_, is_input=is_input)
+        if field.allow_none:
+            converted_type = Optional[converted_type]
+        graphql_before_case = (
+            field.alias or field.name if use_pydantic_alias else field.name
+        )
+        camel_case_name = to_camel_case(graphql_before_case)
+        fields.append(
+            StrawberryField(
+                python_name=name,
+                graphql_name=camel_case_name,
+                # always unset because we use default_factory instead
+                default=dataclasses.MISSING,
+                default_factory=get_default_factory_for_field(field),
+                type_annotation=StrawberryAnnotation.from_annotation(converted_type),
+                description=field.description,
+                deprecation_reason=None,
+                permission_classes=[],
+                directives=[],
+                metadata={},
+            )
+        )
+
+    return fields
+
+
+def first_class_process_basemodel(
+    model: Type[BaseModel],
+    *,
+    name: Optional[str] = None,
+    is_input: bool = False,
+    is_interface: bool = False,
+    description: Optional[str] = None,
+    directives: Optional[Sequence[object]] = (),
+    extend: bool = False,
+    use_pydantic_alias: bool = True,
+):
+    name = name or to_camel_case(model.__name__)
+
+    interfaces = _get_interfaces(model)
+    fields: List[StrawberryField] = _get_strawberry_fields_from_basemodel(
+        model, is_input=is_input, use_pydantic_alias=use_pydantic_alias
+    )
+    is_type_of = getattr(model, "is_type_of", None)
+    resolve_type = getattr(model, "resolve_type", None)
+
+    model.__strawberry_definition__ = StrawberryObjectDefinition(
+        name=name,
+        is_input=is_input,
+        is_interface=is_interface,
+        interfaces=interfaces,
+        description=description,
+        directives=directives,
+        origin=model,
+        extend=extend,
+        fields=fields,
+        is_type_of=is_type_of,
+        resolve_type=resolve_type,
+    )
+    # TODO: remove when deprecating _type_definition
+    DeprecatedDescriptor(
+        DEPRECATION_MESSAGES._TYPE_DEFINITION,
+        model.__strawberry_definition__,
+        "_type_definition",
+    ).inject(model)
+
+    return model
+
+
+def register_first_class(
+    model: Type[PydanticModel],
+    *,
+    name: Optional[str] = None,
+    is_input: bool = False,
+    is_interface: bool = False,
+    description: Optional[str] = None,
+    use_pydantic_alias: bool = True,
+) -> Type[PydanticModel]:
+    """A function for registering a pydantic model as a first class strawberry type.
+    This is useful when your pydantic model is some code that you can't edit
+    (e.g. from a third party library).
+
+    Example:
+        class User(BaseModel):
+            id: int
+            name: str
+
+        register_first_class(User)
+
+        @strawberry.type
+        class Query:
+            @strawberry.field
+            def user(self) -> User:
+                return User(id=1, name="Patrick")
+    """
+
+    first_class_process_basemodel(
+        model,
+        name=name or to_camel_case(model.__name__),
+        is_input=is_input,
+        is_interface=is_interface,
+        description=description,
+        use_pydantic_alias=use_pydantic_alias,
+    )
+
+    if is_input:
+        # TODO: Probably should check if the name clashes with an existing type?
+        model._strawberry_input_type = model  # type: ignore
+    else:
+        model._strawberry_type = model  # type: ignore
+
+    return model
+
+
+def first_class(
+    name: Optional[str] = None,
+    is_input: bool = False,
+    is_interface: bool = False,
+    description: Optional[str] = None,
+    use_pydantic_alias: bool = True,
+) -> Callable[[Type[PydanticModel]], Type[PydanticModel]]:
+    """A decorator to make a pydantic class work on strawberry without creating
+    a separate strawberry type.
+
+    Example:
+        @strawberry.experimental.pydantic.first_class()
+        class User(BaseModel):
+            id: int
+            name: str
+
+        @strawberry.type
+        class Query:
+            @strawberry.field
+            def user(self) -> User:
+                return User(id=1, name="Patrick")
+
+    """
+
+    def wrap(model: Type[PydanticModel]) -> Type[PydanticModel]:
+        return register_first_class(
+            model,
+            name=name,
+            is_input=is_input,
+            is_interface=is_interface,
+            description=description,
+            use_pydantic_alias=use_pydantic_alias,
+        )
+
+    return wrap

tests/experimental/pydantic_first_class/schema/test_mutation.py

@@ -0,0 +1,214 @@
+from typing import Dict, List, Union
+
+import pydantic
+import pytest
+
+import strawberry
+from strawberry.experimental.pydantic._compat import IS_PYDANTIC_V2
+from strawberry.experimental.pydantic.pydantic_first_class import first_class
+
+
+def test_mutation():
+    @first_class(is_input=True)
+    class CreateUserInput(pydantic.BaseModel):
+        name: pydantic.constr(min_length=2)
+
+    @first_class()
+    class UserType(pydantic.BaseModel):
+        name: str
+
+    @strawberry.type
+    class Query:
+        h: str
+
+    @strawberry.type
+    class Mutation:
+        @strawberry.mutation
+        def create_user(self, input: CreateUserInput) -> UserType:
+            return UserType(name=input.name)
+
+    schema = strawberry.Schema(query=Query, mutation=Mutation)
+
+    query = """
+        mutation {
+            createUser(input: { name: "Patrick" }) {
+                name
+            }
+        }
+    """
+
+    result = schema.execute_sync(query)
+
+    assert not result.errors
+    assert result.data["createUser"]["name"] == "Patrick"
+
+
+def test_mutation_with_validation():
+    @first_class(is_input=True)
+    class CreateUserInput(pydantic.BaseModel):
+        name: pydantic.constr(min_length=2)
+
+    @first_class()
+    class UserType(pydantic.BaseModel):
+        name: str
+
+    @strawberry.type
+    class Query:
+        h: str
+
+    @strawberry.type
+    class Mutation:
+        @strawberry.mutation
+        def create_user(self, input: CreateUserInput) -> UserType:
+            return UserType(name=input.name)
+
+    schema = strawberry.Schema(query=Query, mutation=Mutation)
+
+    query = """
+        mutation {
+            createUser(input: { name: "P" }) {
+                name
+            }
+        }
+    """
+
+    result = schema.execute_sync(query)
+
+    if IS_PYDANTIC_V2:
+        assert result.errors[0].message == (
+            "1 validation error for CreateUserInput\n"
+            "name\n"
+            "  String should have at least 2 characters [type=string_too_short, "
+            "input_value='P', input_type=str]\n"
+            "    For further information visit "
+            "https://errors.pydantic.dev/2.0.3/v/string_too_short"
+        )
+    else:
+        assert result.errors[0].message == (
+            "1 validation error for CreateUserInput\nname\n  ensure this value has at "
+            "least 2 characters (type=value_error.any_str.min_length; limit_value=2)"
+        )
+
+
+def test_mutation_with_validation_of_nested_model():
+    @first_class(is_input=True)
+    class HobbyInput(pydantic.BaseModel):
+        name: pydantic.constr(min_length=2)
+
+    @first_class(is_input=True)
+    class CreateUserInput(pydantic.BaseModel):
+        hobby: HobbyInput
+
+    class UserModel(pydantic.BaseModel):
+        name: str
+
+    @strawberry.experimental.pydantic.type(UserModel)
+    class UserType:
+        name: strawberry.auto
+
+    @strawberry.type
+    class Query:
+        h: str
+
+    @strawberry.type
+    class Mutation:
+        @strawberry.mutation
+        def create_user(self, input: CreateUserInput) -> UserType:
+            return UserType(name=input.hobby.name)
+
+    schema = strawberry.Schema(query=Query, mutation=Mutation)
+
+    query = """
+        mutation {
+            createUser(input: { hobby: { name: "P" } }) {
+                name
+            }
+        }
+    """
+
+    result = schema.execute_sync(query)
+
+    if IS_PYDANTIC_V2:
+        assert result.errors[0].message == (
+            "1 validation error for HobbyInput\n"
+            "name\n"
+            "  String should have at least 2 characters [type=string_too_short, "
+            "input_value='P', input_type=str]\n"
+            "    For further information visit "
+            "https://errors.pydantic.dev/2.0.3/v/string_too_short"
+        )
+
+    else:
+        assert result.errors[0].message == (
+            "1 validation error for HobbyInput\nname\n"
+            "  ensure this value has at least 2 characters "
+            "(type=value_error.any_str.min_length; limit_value=2)"
+        )
+
+
+@pytest.mark.xfail(
+    reason="""No way to manually handle errors
+the validation goes boom in convert_argument, not in the create_user resolver"""
+)
+def test_mutation_with_validation_and_error_type():
+    @first_class(is_input=True)
+    class CreateUserInput(pydantic.BaseModel):
+        name: pydantic.constr(min_length=2)
+
+    @first_class()
+    class UserType(pydantic.BaseModel):
+        name: str
+
+    @first_class()
+    class UserError(pydantic.BaseModel):
+        name: str
+
+    @strawberry.type
+    class Query:
+        h: str
+
+    @strawberry.type
+    class Mutation:
+        @strawberry.mutation
+        def create_user(self, input: CreateUserInput) -> Union[UserType, UserError]:
+            try:
+                data = input
+            except pydantic.ValidationError as e:
+                args: Dict[str, List[str]] = {}
+                for error in e.errors():
+                    field = error["loc"][0]  # currently doesn't support nested errors
+                    field_errors = args.get(field, [])
+                    field_errors.append(error["msg"])
+                    args[field] = field_errors
+                return UserError(**args)
+            else:
+                return UserType(name=data.name)
+
+    schema = strawberry.Schema(query=Query, mutation=Mutation)
+
+    query = """
+        mutation {
+            createUser(input: { name: "P" }) {
+                ... on UserType {
+                    name
+                }
+                ... on UserError {
+                    nameErrors: name
+                }
+            }
+        }
+    """
+
+    result = schema.execute_sync(query)
+
+    assert result.errors is None
+    assert result.data["createUser"].get("name") is None
+
+    if IS_PYDANTIC_V2:
+        assert result.data["createUser"]["nameErrors"] == [
+            ("String should have at least 2 characters")
+        ]
+    else:
+        assert result.data["createUser"]["nameErrors"] == [
+            ("ensure this value has at least 2 characters")
+        ]