Exemple #1
0
def copy_union_with(
    types: Tuple[Type, ...],
    params_to_type: Dict[Type, Union[Type, StrawberryUnion]] = None,
    description=None,
) -> StrawberryUnion:
    types = cast(
        Tuple[Type, ...],
        tuple(copy_type_with(t, params_to_type=params_to_type) for t in types),
    )

    return union(
        name=get_name_from_types(types),
        types=types,
        description=description,
    )
Exemple #2
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def test_strawberry_union():
    @strawberry.type
    class User:
        name: str

    @strawberry.type
    class Error:
        name: str

    cool_union = union(name="CoolUnion", types=(User, Error))
    annotation = StrawberryAnnotation(cool_union)
    resolved = annotation.resolve()

    assert isinstance(resolved, StrawberryUnion)
    assert resolved.types == (User, Error)

    assert resolved == StrawberryUnion(
        name="CoolUnion",
        type_annotations=(StrawberryAnnotation(User),
                          StrawberryAnnotation(Error)),
    )
    assert resolved != Union[User, Error]  # Name will be different
Exemple #3
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def resolve_type(
        field_definition: Union[FieldDefinition, ArgumentDefinition]) -> None:
    # convert a python type to include a strawberry definition, so for example
    # Union becomes a class with a UnionDefinition, Generics become an actual
    # type definition. This helps with making the code to convert the type definitions
    # to GraphQL types, as we only have to deal with Python's typings in one place.

    type = cast(Type, field_definition.type)
    origin_name = cast(str, field_definition.origin_name)

    if isinstance(type, LazyType):
        field_definition.type = type.resolve_type()

    if isinstance(type, str):
        module = sys.modules[field_definition.origin.__module__].__dict__

        type = eval(type, module)
        field_definition.type = type

    if is_forward_ref(type):
        # if the type is a forward reference we try to resolve the type by
        # finding it in the global namespace of the module where the field
        # was initially declared. This will break when the type is not declared
        # in the main scope, but we don't want to support that use case
        # see https://mail.python.org/archives/list/[email protected]/thread/SNKJB2U5S74TWGDWVD6FMXOP63WVIGDR/  # noqa: E501

        type_name = type.__forward_arg__

        module = sys.modules[field_definition.origin.__module__]

        # TODO: we should probably raise an error if we can't find the type
        type = module.__dict__[type_name]

        field_definition.type = type

        return

    if is_async_generator(type):
        # TODO: shall we raise a warning if field is not used in a subscription?

        # async generators are used in subscription, we only need the yield type
        # https://docs.python.org/3/library/typing.html#typing.AsyncGenerator
        field_definition.type = get_async_generator_annotation(type)

        return resolve_type(field_definition)

    # check for Optional[A] which is represented as Union[A, None], we
    # have an additional check for proper unions below
    if is_optional(type) and len(type.__args__) == 2:
        # this logics works around List of optionals and Optional lists of Optionals:
        # >>> Optional[List[Str]]
        # >>> Optional[List[Optional[Str]]]
        # the field is only optional if it is not a list or if it was already optional
        # since we mark the child as optional when the field is a list

        field_definition.is_optional = (True and not field_definition.is_list
                                        or field_definition.is_optional)
        field_definition.is_child_optional = field_definition.is_list
        field_definition.type = get_optional_annotation(type)

        return resolve_type(field_definition)

    elif is_list(type):
        # TODO: maybe this should be an argument definition when it is argument
        # but doesn't matter much
        child_definition = FieldDefinition(
            origin=field_definition.origin,  # type: ignore
            name=None,
            origin_name=None,
            type=get_list_annotation(type),
        )

        resolve_type(child_definition)

        field_definition.type = None
        field_definition.is_list = True
        field_definition.child = child_definition

        return

    # case for Union[A, B, C], it also handles Optional[Union[A, B, C]] as optionals
    # type hints are represented as Union[..., None].

    elif is_union(type):
        # Optional[Union[A, B]] is represented as Union[A, B, None] so we need
        # too check again if the field is optional as the check above only checks
        # for single Optionals
        field_definition.is_optional = is_optional(type)

        types = type.__args__

        # we use a simplified version of resolve_type since unions in GraphQL
        # are simpler and cannot contain lists or optionals

        types = tuple(
            _resolve_generic_type(t, origin_name) for t in types
            if t is not None.__class__)

        field_definition.is_union = True
        field_definition.type = union(get_name_from_types(types), types)

    # case for Type[A], we want to convert generics to have the concrete types
    # when we pass them, so that we don't have to deal with generics when
    # generating the GraphQL types later on.

    elif hasattr(type,
                 "_type_definition") and type._type_definition.is_generic:
        args = get_args(type)

        # raise an error when using generics without passing any type parameter, ie:
        # >>> class X(Generic[T]): ...
        # >>> a: X
        # instead of
        # >>> a: X[str]

        if len(args) == 0:
            name = cast(str, field_definition.origin_name)

            raise MissingTypesForGenericError(name, type)

        # we only make a copy when all the arguments are not type vars
        if not all(is_type_var(a) for a in args):
            field_definition.type = copy_type_with(type, *args)

    if isinstance(type, StrawberryUnion):
        field_definition.is_union = True
Exemple #4
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def copy_type_with(
    base: Type, *types: Type, params_to_type: Dict[Type, Type] = None
) -> Type:
    if params_to_type is None:
        params_to_type = {}

    if hasattr(base, "_union_definition"):
        types = cast(
            Tuple[Type],
            tuple(
                copy_type_with(t, params_to_type=params_to_type)
                for t in base._union_definition.types
            ),
        )

        return union(
            name=get_name_from_types(types),
            types=types,
            description=base._union_definition.description,
        )

    if hasattr(base, "_type_definition"):
        definition = cast(TypeDefinition, base._type_definition)

        if definition.type_params:
            fields = []

            type_params = definition.type_params.values()
            params_to_type.update(dict(zip(type_params, types)))

            name = get_name_from_types(params_to_type.values()) + definition.name

            for field in definition.fields:
                kwargs = dataclasses.asdict(field)

                if field.is_list:
                    child = cast(FieldDefinition, field.child)
                    child_type = cast(Type, child.type)

                    # TODO: nested list

                    kwargs["child"] = FieldDefinition(
                        name=child.name,
                        origin=child.origin,
                        origin_name=child.origin_name,
                        is_optional=child.is_optional,
                        type=copy_type_with(child_type, params_to_type=params_to_type),
                    )

                else:
                    field_type = cast(Type, field.type)

                    kwargs["type"] = copy_type_with(
                        field_type, params_to_type=params_to_type
                    )

                federation_args = kwargs.pop("federation")
                kwargs["federation"] = FederationFieldParams(**federation_args)

                fields.append(FieldDefinition(**kwargs))

            type_definition = TypeDefinition(
                name=name,
                is_input=definition.is_input,
                origin=definition.origin,
                is_interface=definition.is_interface,
                is_generic=False,
                federation=definition.federation,
                interfaces=definition.interfaces,
                description=definition.description,
                _fields=fields,
            )
            type_definition._type_params = {}

            copied_type = builtins.type(
                name, (), {"_type_definition": type_definition},
            )

            if not hasattr(base, "_copies"):
                base._copies = {}

            base._copies[types] = copied_type

            return copied_type

    if is_type_var(base):
        return params_to_type[base]

    return base