Python graphene.InputObjectType() Examples

The following are 7 code examples of graphene.InputObjectType(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module graphene , or try the search function .
Example #1
Source File: inputobjecttype.py    From graphene with MIT License 6 votes vote down vote up 
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)
Example #2
Source File: filters.py    From graphene-sqlalchemy-filter with MIT License 6 votes vote down vote up 
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
Example #3
Source File: serializer_converter.py    From graphene-django with MIT License 6 votes vote down vote up 
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
Example #4
Source File: inputobjecttype.py    From graphene with MIT License 5 votes vote down vote up 
def get_type(cls):
        """
        This function is called when the unmounted type (InputObjectType instance)
        is mounted (as a Field, InputField or Argument)
        """
        return cls
Example #5
Source File: query.py    From graphene-django-optimizer with MIT License 5 votes vote down vote up 
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
Example #6
Source File: utils.py    From graphene-django-plus with MIT License 5 votes vote down vote up 
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
Example #7
Source File: dauphin_registry.py    From dagster with Apache License 2.0 4 votes vote down vote up 
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)