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* v3.0 - remove Python 2.x from build (#983) * Change travis to only compile for p3.6+ * Changed tox to only run Python 3.6+ * Changed library classifiers to reflect support in Python 3.6+ * Changed version to 3.0.0 development In [15]: get_version((3, 0, 0, "alpha", 0)) Out[15]: '3.0.dev20190601212304' * Reorganize Tests (#985) We no longer need a dedicated folder for Python3.6+ tests We no longer need to check six.PY3 in tests * Upgrade black to 19.3b0 (#987) * Remove six dependency (#986) * No one is using func_name * Remove six simple usages * Remove six requirement * Remove `six.with_metaclass` calls * pytest-asyncio should be a regular dependency now with Py3 move * Change dependency to graphql-core-next (#988) * Changed dependencies to core-next * Converted Scalars * ResolveInfo name change * Ignore .venv * Make Schema compatible with GraphQL-core-next * Ignore more venv names and mypy and pytest caches * Remove print statements for debugging in schema test * core-next now provides out_type and out_name * Adapt date and time scalar types to core-next * Ignore the non-standard result.invalid flag * Results are named tuples in core-next (immutable) * Enum values are returned as dict in core-next * Fix mutation tests with promises * Make all 345 tests pass with graphql-core-next * Remove the compat module which was only needed for older Py version * Remove object as base class (not needed in Py 3) * We can assume that dicts are ordered in Py 3.6+ * Make use of the fact that dicts are iterable * Use consistent style of importing from pytest * Restore compatibility with graphql-relay-py v3 Add adpaters for the PageInfo and Connection args. * Avoid various deprecation warnings * Use graphql-core 3 instead of graphql-core-next * Update dependencies, reformat changes with black * Update graphene/relay/connection.py Co-Authored-By: Jonathan Kim <jkimbo@gmail.com> * Run black on setup.py * Remove trailing whitespace
91 lines
3.1 KiB
Python
91 lines
3.1 KiB
Python
from .base import BaseOptions, BaseType
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from .inputfield import InputField
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from .unmountedtype import UnmountedType
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from .utils import yank_fields_from_attrs
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# For static type checking with Mypy
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MYPY = False
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if MYPY:
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from typing import Dict, Callable # NOQA
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class InputObjectTypeOptions(BaseOptions):
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fields = None # type: Dict[str, InputField]
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container = None # type: InputObjectTypeContainer
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class InputObjectTypeContainer(dict, BaseType):
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class Meta:
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abstract = True
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def __init__(self, *args, **kwargs):
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dict.__init__(self, *args, **kwargs)
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for key in self._meta.fields:
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setattr(self, key, self.get(key, None))
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def __init_subclass__(cls, *args, **kwargs):
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pass
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class InputObjectType(UnmountedType, BaseType):
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"""
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Input Object Type Definition
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An input object defines a structured collection of fields which may be
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supplied to a field argument.
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Using ``graphene.NonNull`` will ensure that a input value must be provided by the query.
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All class attributes of ``graphene.InputObjectType`` are implicitly mounted as InputField
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using the below Meta class options.
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.. code:: python
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from graphene import InputObjectType, String, InputField
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class Person(InputObjectType):
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# implicitly mounted as Input Field
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first_name = String(required=True)
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# explicitly mounted as Input Field
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last_name = InputField(String, description="Surname")
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The fields on an input object type can themselves refer to input object types, but you can't
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mix input and output types in your schema.
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Meta class options (optional):
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name (str): the name of the GraphQL type (must be unique in schema). Defaults to class
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name.
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description (str): the description of the GraphQL type in the schema. Defaults to class
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docstring.
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container (class): A class reference for a value object that allows for
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attribute initialization and access. Default InputObjectTypeContainer.
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fields (Dict[str, graphene.InputField]): Dictionary of field name to InputField. Not
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recommended to use (prefer class attributes).
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"""
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@classmethod
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def __init_subclass_with_meta__(cls, container=None, _meta=None, **options):
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if not _meta:
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_meta = InputObjectTypeOptions(cls)
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fields = {}
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for base in reversed(cls.__mro__):
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fields.update(yank_fields_from_attrs(base.__dict__, _as=InputField))
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if _meta.fields:
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_meta.fields.update(fields)
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else:
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_meta.fields = fields
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if container is None:
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container = type(cls.__name__, (InputObjectTypeContainer, cls), {})
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_meta.container = container
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super(InputObjectType, cls).__init_subclass_with_meta__(_meta=_meta, **options)
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@classmethod
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def get_type(cls):
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"""
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This function is called when the unmounted type (InputObjectType instance)
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is mounted (as a Field, InputField or Argument)
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"""
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return cls
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