Source code for graphene.types.inputobjecttype

from .base import BaseOptions, BaseType
from .inputfield import InputField
from .unmountedtype import UnmountedType
from .utils import yank_fields_from_attrs

# For static type checking with Mypy
MYPY = False
if MYPY:
    from typing import Dict, Callable  # NOQA

class InputObjectTypeOptions(BaseOptions):
    fields = None  # type: Dict[str, InputField]
    container = None  # type: InputObjectTypeContainer

class InputObjectTypeContainer(dict, BaseType):  # type: ignore
    class Meta:
        abstract = True

    def __init__(self, *args, **kwargs):
        dict.__init__(self, *args, **kwargs)
        for key in self._meta.fields:
            setattr(self, key, self.get(key, None))

    def __init_subclass__(cls, *args, **kwargs):

[docs]class InputObjectType(UnmountedType, BaseType): """ Input Object Type Definition An input object defines a structured collection of fields which may be supplied to a field argument. Using ``graphene.NonNull`` will ensure that a input value must be provided by the query. All class attributes of ``graphene.InputObjectType`` are implicitly mounted as InputField using the below Meta class options. .. code:: python from graphene import InputObjectType, String, InputField class Person(InputObjectType): # implicitly mounted as Input Field first_name = String(required=True) # explicitly mounted as Input Field last_name = InputField(String, description="Surname") The fields on an input object type can themselves refer to input object types, but you can't mix input and output types in your schema. Meta class options (optional): name (str): the name of the GraphQL type (must be unique in schema). Defaults to class name. description (str): the description of the GraphQL type in the schema. Defaults to class docstring. container (class): A class reference for a value object that allows for attribute initialization and access. Default InputObjectTypeContainer. fields (Dict[str, graphene.InputField]): Dictionary of field name to InputField. Not recommended to use (prefer class attributes). """ @classmethod 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) @classmethod def get_type(cls): """ This function is called when the unmounted type (InputObjectType instance) is mounted (as a Field, InputField or Argument) """ return cls