Python graphene.InputObjectType方法代碼示例

# 需要導入模塊: import graphene [as 別名]
# 或者: from graphene import InputObjectType [as 別名]
def __init_subclass_with_meta__(cls, container=None, _meta=None, **options):
        if not _meta:
            _meta = InputObjectTypeOptions(cls)

        fields = {}
        for base in reversed(cls.__mro__):
            fields.update(yank_fields_from_attrs(base.__dict__, _as=InputField))

        if _meta.fields:
            _meta.fields.update(fields)
        else:
            _meta.fields = fields
        if container is None:
            container = type(cls.__name__, (InputObjectTypeContainer, cls), {})
        _meta.container = container
        super(InputObjectType, cls).__init_subclass_with_meta__(_meta=_meta, **options) 

# 需要導入模塊: import graphene [as 別名]
# 或者: from graphene import InputObjectType [as 別名]
def _range_filter_type(
    type_: 'GRAPHENE_OBJECT_OR_CLASS', _: bool, doc: str
) -> graphene.InputObjectType:
    of_type = _get_class(type_)

    with contextlib.suppress(KeyError):
        return _range_filter_cache[of_type]

    element_type = graphene.NonNull(of_type)
    klass = type(
        str(of_type) + 'Range',
        (graphene.InputObjectType,),
        {RANGE_BEGIN: element_type, RANGE_END: element_type},
    )
    result = klass(description=doc)
    _range_filter_cache[of_type] = result
    return result 

# 需要導入模塊: import graphene [as 別名]
# 或者: from graphene import InputObjectType [as 別名]
def convert_serializer_to_input_type(serializer_class):
    cached_type = convert_serializer_to_input_type.cache.get(
        serializer_class.__name__, None
    )
    if cached_type:
        return cached_type
    serializer = serializer_class()

    items = {
        name: convert_serializer_field(field)
        for name, field in serializer.fields.items()
    }
    ret_type = type(
        "{}Input".format(serializer.__class__.__name__),
        (graphene.InputObjectType,),
        items,
    )
    convert_serializer_to_input_type.cache[serializer_class.__name__] = ret_type
    return ret_type 

# 需要導入模塊: import graphene [as 別名]
# 或者: from graphene import InputObjectType [as 別名]
def get_type(cls):
        """
        This function is called when the unmounted type (InputObjectType instance)
        is mounted (as a Field, InputField or Argument)
        """
        return cls 

# 需要導入模塊: import graphene [as 別名]
# 或者: from graphene import InputObjectType [as 別名]
def __init__(self):
        self._typeMap = {}
        self.Field = create_registry_field(self)
        self.Argument = create_registry_argument(self)
        self.List = create_registry_list(self)
        self.NonNull = create_registry_nonnull(self)
        registering_metaclass = create_registering_metaclass(self)
        self.Union = create_union(registering_metaclass, self)
        self.Enum = create_enum(registering_metaclass)
        self.Mutation = graphene.Mutation

        # Not looping over GRAPHENE_TYPES in order to not fool lint
        self.ObjectType = create_registering_class(graphene.ObjectType, registering_metaclass)
        self.InputObjectType = create_registering_class(
            graphene.InputObjectType, registering_metaclass
        )
        self.Interface = create_registering_class(graphene.Interface, registering_metaclass)
        self.Scalar = create_registering_class(graphene.Scalar, registering_metaclass)

        # Not looping over GRAPHENE_BUILTINS in order to not fool lint
        self.String = graphene.String
        self.addType(graphene.String)
        self.Int = graphene.Int
        self.addType(graphene.Int)
        self.Float = graphene.Float
        self.addType(graphene.Float)
        self.Boolean = graphene.Boolean
        self.addType(graphene.Boolean)
        self.ID = graphene.ID
        self.addType(graphene.ID)
        self.GenericScalar = GenericScalar
        self.addType(GenericScalar) 

# 需要導入模塊: import graphene [as 別名]
# 或者: from graphene import InputObjectType [as 別名]
def _get_value(self, info, value):
        if isinstance(value, Variable):
            var_name = value.name.value
            value = info.variable_values.get(var_name)
        if isinstance(value, InputObjectType):
            return value.__dict__
        else:
            return GenericScalar.parse_literal(value)
        return value 

# 需要導入模塊: import graphene [as 別名]
# 或者: from graphene import InputObjectType [as 別名]
def get_inputtype(name, object_type):
    """Get an input type based on the object type"""
    if object_type in _input_registry:
        return _input_registry[object_type]

    inputtype = type(
        name,
        (graphene.InputObjectType, ),
        _get_input_attrs(object_type),
    )

    _input_registry[object_type] = inputtype
    return inputtype