mirror of
https://github.com/comfyanonymous/ComfyUI.git
synced 2026-01-11 23:00:51 +08:00
1b2ea61345
- Run comfyui workflows directly inside other python applications using EmbeddedComfyClient. - Optional telemetry in prompts and models using anonymity preserving Plausible self-hosted or hosted. - Better OpenAPI schema - Basic support for distributed ComfyUI backends. Limitations: no progress reporting, no easy way to start your own distributed backend, requires RabbitMQ as a message broker.
960 lines
27 KiB
Python
960 lines
27 KiB
Python
# coding: utf-8
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"""
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comfyui
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No description provided (generated by Openapi JSON Schema Generator https://github.com/openapi-json-schema-tools/openapi-json-schema-generator) # noqa: E501
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The version of the OpenAPI document: 0.0.1
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Generated by: https://github.com/openapi-json-schema-tools/openapi-json-schema-generator
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"""
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from __future__ import annotations
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from comfy.api.shared_imports.schema_imports import * # pyright: ignore [reportWildcardImportFromLibrary]
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_0: typing_extensions.TypeAlias = schemas.StrSchema
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_1: typing_extensions.TypeAlias = schemas.NumberSchema
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Default: typing_extensions.TypeAlias = schemas.StrSchema
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Min: typing_extensions.TypeAlias = schemas.NumberSchema
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Max: typing_extensions.TypeAlias = schemas.NumberSchema
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Step: typing_extensions.TypeAlias = schemas.NumberSchema
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Multiline: typing_extensions.TypeAlias = schemas.BoolSchema
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Properties = typing.TypedDict(
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'Properties',
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{
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"default": typing.Type[Default],
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"min": typing.Type[Min],
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"max": typing.Type[Max],
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"step": typing.Type[Step],
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"multiline": typing.Type[Multiline],
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}
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)
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class _2Dict(schemas.immutabledict[str, schemas.OUTPUT_BASE_TYPES]):
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__required_keys__: typing.FrozenSet[str] = frozenset({
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})
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__optional_keys__: typing.FrozenSet[str] = frozenset({
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"default",
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"min",
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"max",
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"step",
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"multiline",
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})
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def __new__(
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cls,
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*,
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default: typing.Union[
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str,
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schemas.Unset
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] = schemas.unset,
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min: typing.Union[
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int,
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float,
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schemas.Unset
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] = schemas.unset,
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max: typing.Union[
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int,
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float,
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schemas.Unset
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] = schemas.unset,
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step: typing.Union[
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int,
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float,
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schemas.Unset
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] = schemas.unset,
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multiline: typing.Union[
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bool,
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schemas.Unset
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] = schemas.unset,
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configuration_: typing.Optional[schema_configuration.SchemaConfiguration] = None,
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**kwargs: schemas.INPUT_TYPES_ALL,
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):
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arg_: typing.Dict[str, typing.Any] = {}
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for key_, val in (
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("default", default),
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("min", min),
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("max", max),
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("step", step),
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("multiline", multiline),
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):
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if isinstance(val, schemas.Unset):
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continue
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arg_[key_] = val
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arg_.update(kwargs)
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used_arg_ = typing.cast(_2DictInput, arg_)
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return _2.validate(used_arg_, configuration=configuration_)
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@staticmethod
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def from_dict_(
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arg: typing.Union[
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_2DictInput,
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_2Dict
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],
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configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
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) -> _2Dict:
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return _2.validate(arg, configuration=configuration)
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@property
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def default(self) -> typing.Union[str, schemas.Unset]:
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val = self.get("default", schemas.unset)
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if isinstance(val, schemas.Unset):
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return val
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return typing.cast(
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str,
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val
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)
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@property
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def min(self) -> typing.Union[int, float, schemas.Unset]:
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val = self.get("min", schemas.unset)
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if isinstance(val, schemas.Unset):
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return val
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return typing.cast(
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typing.Union[int, float],
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val
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)
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@property
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def max(self) -> typing.Union[int, float, schemas.Unset]:
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val = self.get("max", schemas.unset)
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if isinstance(val, schemas.Unset):
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return val
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return typing.cast(
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typing.Union[int, float],
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val
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)
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@property
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def step(self) -> typing.Union[int, float, schemas.Unset]:
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val = self.get("step", schemas.unset)
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if isinstance(val, schemas.Unset):
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return val
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return typing.cast(
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typing.Union[int, float],
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val
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)
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@property
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def multiline(self) -> typing.Union[bool, schemas.Unset]:
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val = self.get("multiline", schemas.unset)
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if isinstance(val, schemas.Unset):
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return val
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return typing.cast(
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bool,
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val
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)
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def get_additional_property_(self, name: str) -> typing.Union[schemas.OUTPUT_BASE_TYPES, schemas.Unset]:
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schemas.raise_if_key_known(name, self.__required_keys__, self.__optional_keys__)
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return self.get(name, schemas.unset)
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_2DictInput = typing.Mapping[str, schemas.INPUT_TYPES_ALL]
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@dataclasses.dataclass(frozen=True)
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class _2(
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schemas.Schema[_2Dict, tuple]
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):
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types: typing.FrozenSet[typing.Type] = frozenset({schemas.immutabledict})
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properties: Properties = dataclasses.field(default_factory=lambda: schemas.typed_dict_to_instance(Properties)) # type: ignore
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type_to_output_cls: typing.Mapping[
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typing.Type,
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typing.Type
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] = dataclasses.field(
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default_factory=lambda: {
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schemas.immutabledict: _2Dict
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}
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)
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@classmethod
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def validate(
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cls,
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arg: typing.Union[
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_2DictInput,
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_2Dict,
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],
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configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
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) -> _2Dict:
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return super().validate_base(
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arg,
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configuration=configuration,
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)
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Items2: typing_extensions.TypeAlias = schemas.StrSchema
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class _3Tuple(
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typing.Tuple[
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str,
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...
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]
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):
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def __new__(cls, arg: typing.Union[_3TupleInput, _3Tuple], configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None):
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return _3.validate(arg, configuration=configuration)
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_3TupleInput = typing.Union[
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typing.List[
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str,
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],
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typing.Tuple[
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str,
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...
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]
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]
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@dataclasses.dataclass(frozen=True)
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class _3(
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schemas.Schema[schemas.immutabledict, _3Tuple]
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):
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types: typing.FrozenSet[typing.Type] = frozenset({tuple})
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items: typing.Type[Items2] = dataclasses.field(default_factory=lambda: Items2) # type: ignore
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type_to_output_cls: typing.Mapping[
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typing.Type,
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typing.Type
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] = dataclasses.field(
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default_factory=lambda: {
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tuple: _3Tuple
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}
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)
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@classmethod
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def validate(
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cls,
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arg: typing.Union[
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_3TupleInput,
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_3Tuple,
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],
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configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
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) -> _3Tuple:
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return super().validate_base(
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arg,
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configuration=configuration,
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)
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OneOf = typing.Tuple[
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typing.Type[_0],
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typing.Type[_1],
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typing.Type[_2],
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typing.Type[_3],
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]
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@dataclasses.dataclass(frozen=True)
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class Items(
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schemas.AnyTypeSchema[schemas.immutabledict[str, schemas.OUTPUT_BASE_TYPES], typing.Tuple[schemas.OUTPUT_BASE_TYPES, ...]],
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):
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# any type
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max_items: int = 2
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min_items: int = 1
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one_of: OneOf = dataclasses.field(default_factory=lambda: schemas.tuple_to_instance(OneOf)) # type: ignore
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class AdditionalPropertiesTuple(
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typing.Tuple[
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schemas.OUTPUT_BASE_TYPES,
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...
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]
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):
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def __new__(cls, arg: typing.Union[AdditionalPropertiesTupleInput, AdditionalPropertiesTuple], configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None):
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return AdditionalProperties.validate(arg, configuration=configuration)
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AdditionalPropertiesTupleInput = typing.Union[
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typing.List[
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typing.Union[
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schemas.INPUT_TYPES_ALL,
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schemas.OUTPUT_BASE_TYPES
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],
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],
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typing.Tuple[
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typing.Union[
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schemas.INPUT_TYPES_ALL,
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schemas.OUTPUT_BASE_TYPES
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],
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...
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]
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]
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@dataclasses.dataclass(frozen=True)
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class AdditionalProperties(
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schemas.Schema[schemas.immutabledict, AdditionalPropertiesTuple]
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):
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types: typing.FrozenSet[typing.Type] = frozenset({tuple})
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items: typing.Type[Items] = dataclasses.field(default_factory=lambda: Items) # type: ignore
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type_to_output_cls: typing.Mapping[
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typing.Type,
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typing.Type
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] = dataclasses.field(
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default_factory=lambda: {
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tuple: AdditionalPropertiesTuple
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}
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)
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@classmethod
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def validate(
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cls,
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arg: typing.Union[
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AdditionalPropertiesTupleInput,
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AdditionalPropertiesTuple,
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],
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configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
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) -> AdditionalPropertiesTuple:
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return super().validate_base(
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arg,
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configuration=configuration,
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)
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class RequiredDict(schemas.immutabledict[str, AdditionalPropertiesTuple]):
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__required_keys__: typing.FrozenSet[str] = frozenset({
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})
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__optional_keys__: typing.FrozenSet[str] = frozenset({
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})
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def __new__(
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cls,
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configuration_: typing.Optional[schema_configuration.SchemaConfiguration] = None,
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**kwargs: typing.Union[
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AdditionalPropertiesTupleInput,
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AdditionalPropertiesTuple
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],
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):
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used_kwargs = typing.cast(RequiredDictInput, kwargs)
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return Required.validate(used_kwargs, configuration=configuration_)
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@staticmethod
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def from_dict_(
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arg: typing.Union[
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RequiredDictInput,
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RequiredDict
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],
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configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
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) -> RequiredDict:
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return Required.validate(arg, configuration=configuration)
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def get_additional_property_(self, name: str) -> typing.Union[AdditionalPropertiesTuple, schemas.Unset]:
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schemas.raise_if_key_known(name, self.__required_keys__, self.__optional_keys__)
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val = self.get(name, schemas.unset)
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if isinstance(val, schemas.Unset):
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return val
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return typing.cast(
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AdditionalPropertiesTuple,
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val
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)
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RequiredDictInput = typing.Mapping[
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str,
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typing.Union[
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AdditionalPropertiesTupleInput,
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AdditionalPropertiesTuple
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],
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]
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@dataclasses.dataclass(frozen=True)
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class Required(
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schemas.Schema[RequiredDict, tuple]
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):
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types: typing.FrozenSet[typing.Type] = frozenset({schemas.immutabledict})
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additional_properties: typing.Type[AdditionalProperties] = dataclasses.field(default_factory=lambda: AdditionalProperties) # type: ignore
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type_to_output_cls: typing.Mapping[
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typing.Type,
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typing.Type
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] = dataclasses.field(
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default_factory=lambda: {
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schemas.immutabledict: RequiredDict
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}
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)
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@classmethod
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def validate(
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cls,
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arg: typing.Union[
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RequiredDictInput,
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RequiredDict,
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],
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configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
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) -> RequiredDict:
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return super().validate_base(
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arg,
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configuration=configuration,
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)
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AdditionalProperties2: typing_extensions.TypeAlias = schemas.StrSchema
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class HiddenDict(schemas.immutabledict[str, str]):
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__required_keys__: typing.FrozenSet[str] = frozenset({
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})
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__optional_keys__: typing.FrozenSet[str] = frozenset({
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})
|
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def __new__(
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cls,
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configuration_: typing.Optional[schema_configuration.SchemaConfiguration] = None,
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**kwargs: str,
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):
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used_kwargs = typing.cast(HiddenDictInput, kwargs)
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return Hidden.validate(used_kwargs, configuration=configuration_)
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@staticmethod
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def from_dict_(
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arg: typing.Union[
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HiddenDictInput,
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HiddenDict
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],
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configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
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) -> HiddenDict:
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return Hidden.validate(arg, configuration=configuration)
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def get_additional_property_(self, name: str) -> typing.Union[str, schemas.Unset]:
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schemas.raise_if_key_known(name, self.__required_keys__, self.__optional_keys__)
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val = self.get(name, schemas.unset)
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if isinstance(val, schemas.Unset):
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return val
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return typing.cast(
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str,
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val
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)
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HiddenDictInput = typing.Mapping[
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str,
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str,
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]
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@dataclasses.dataclass(frozen=True)
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class Hidden(
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schemas.Schema[HiddenDict, tuple]
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):
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types: typing.FrozenSet[typing.Type] = frozenset({schemas.immutabledict})
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additional_properties: typing.Type[AdditionalProperties2] = dataclasses.field(default_factory=lambda: AdditionalProperties2) # type: ignore
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type_to_output_cls: typing.Mapping[
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typing.Type,
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typing.Type
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] = dataclasses.field(
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default_factory=lambda: {
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schemas.immutabledict: HiddenDict
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}
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)
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|
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@classmethod
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def validate(
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cls,
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arg: typing.Union[
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HiddenDictInput,
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HiddenDict,
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],
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configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
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) -> HiddenDict:
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return super().validate_base(
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arg,
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configuration=configuration,
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)
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Properties2 = typing.TypedDict(
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'Properties2',
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{
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"required": typing.Type[Required],
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"hidden": typing.Type[Hidden],
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}
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)
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|
|
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class InputDict(schemas.immutabledict[str, schemas.OUTPUT_BASE_TYPES]):
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__required_keys__: typing.FrozenSet[str] = frozenset({
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"required",
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})
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__optional_keys__: typing.FrozenSet[str] = frozenset({
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"hidden",
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})
|
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|
|
def __new__(
|
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cls,
|
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*,
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required: typing.Union[
|
|
RequiredDictInput,
|
|
RequiredDict,
|
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],
|
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hidden: typing.Union[
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HiddenDictInput,
|
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HiddenDict,
|
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schemas.Unset
|
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] = schemas.unset,
|
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configuration_: typing.Optional[schema_configuration.SchemaConfiguration] = None,
|
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**kwargs: schemas.INPUT_TYPES_ALL,
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):
|
|
arg_: typing.Dict[str, typing.Any] = {
|
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"required": required,
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|
}
|
|
for key_, val in (
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("hidden", hidden),
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):
|
|
if isinstance(val, schemas.Unset):
|
|
continue
|
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arg_[key_] = val
|
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arg_.update(kwargs)
|
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used_arg_ = typing.cast(InputDictInput, arg_)
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return Input.validate(used_arg_, configuration=configuration_)
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|
|
@staticmethod
|
|
def from_dict_(
|
|
arg: typing.Union[
|
|
InputDictInput,
|
|
InputDict
|
|
],
|
|
configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
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|
) -> InputDict:
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return Input.validate(arg, configuration=configuration)
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|
|
@property
|
|
def required(self) -> RequiredDict:
|
|
return typing.cast(
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RequiredDict,
|
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self.__getitem__("required")
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)
|
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|
|
@property
|
|
def hidden(self) -> typing.Union[HiddenDict, schemas.Unset]:
|
|
val = self.get("hidden", schemas.unset)
|
|
if isinstance(val, schemas.Unset):
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return val
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return typing.cast(
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HiddenDict,
|
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val
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)
|
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|
|
def get_additional_property_(self, name: str) -> typing.Union[schemas.OUTPUT_BASE_TYPES, schemas.Unset]:
|
|
schemas.raise_if_key_known(name, self.__required_keys__, self.__optional_keys__)
|
|
return self.get(name, schemas.unset)
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|
InputDictInput = typing.Mapping[str, schemas.INPUT_TYPES_ALL]
|
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|
|
|
|
@dataclasses.dataclass(frozen=True)
|
|
class Input(
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schemas.Schema[InputDict, tuple]
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):
|
|
types: typing.FrozenSet[typing.Type] = frozenset({schemas.immutabledict})
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|
required: typing.FrozenSet[str] = frozenset({
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"required",
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})
|
|
properties: Properties2 = dataclasses.field(default_factory=lambda: schemas.typed_dict_to_instance(Properties2)) # type: ignore
|
|
type_to_output_cls: typing.Mapping[
|
|
typing.Type,
|
|
typing.Type
|
|
] = dataclasses.field(
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|
default_factory=lambda: {
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schemas.immutabledict: InputDict
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|
}
|
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)
|
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|
|
@classmethod
|
|
def validate(
|
|
cls,
|
|
arg: typing.Union[
|
|
InputDictInput,
|
|
InputDict,
|
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],
|
|
configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
|
|
) -> InputDict:
|
|
return super().validate_base(
|
|
arg,
|
|
configuration=configuration,
|
|
)
|
|
|
|
Items3: typing_extensions.TypeAlias = schemas.StrSchema
|
|
|
|
|
|
class OutputTuple(
|
|
typing.Tuple[
|
|
str,
|
|
...
|
|
]
|
|
):
|
|
|
|
def __new__(cls, arg: typing.Union[OutputTupleInput, OutputTuple], configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None):
|
|
return Output.validate(arg, configuration=configuration)
|
|
OutputTupleInput = typing.Union[
|
|
typing.List[
|
|
str,
|
|
],
|
|
typing.Tuple[
|
|
str,
|
|
...
|
|
]
|
|
]
|
|
|
|
|
|
@dataclasses.dataclass(frozen=True)
|
|
class Output(
|
|
schemas.Schema[schemas.immutabledict, OutputTuple]
|
|
):
|
|
types: typing.FrozenSet[typing.Type] = frozenset({tuple})
|
|
items: typing.Type[Items3] = dataclasses.field(default_factory=lambda: Items3) # type: ignore
|
|
type_to_output_cls: typing.Mapping[
|
|
typing.Type,
|
|
typing.Type
|
|
] = dataclasses.field(
|
|
default_factory=lambda: {
|
|
tuple: OutputTuple
|
|
}
|
|
)
|
|
|
|
@classmethod
|
|
def validate(
|
|
cls,
|
|
arg: typing.Union[
|
|
OutputTupleInput,
|
|
OutputTuple,
|
|
],
|
|
configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
|
|
) -> OutputTuple:
|
|
return super().validate_base(
|
|
arg,
|
|
configuration=configuration,
|
|
)
|
|
Items4: typing_extensions.TypeAlias = schemas.BoolSchema
|
|
|
|
|
|
class OutputIsListTuple(
|
|
typing.Tuple[
|
|
bool,
|
|
...
|
|
]
|
|
):
|
|
|
|
def __new__(cls, arg: typing.Union[OutputIsListTupleInput, OutputIsListTuple], configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None):
|
|
return OutputIsList.validate(arg, configuration=configuration)
|
|
OutputIsListTupleInput = typing.Union[
|
|
typing.List[
|
|
bool,
|
|
],
|
|
typing.Tuple[
|
|
bool,
|
|
...
|
|
]
|
|
]
|
|
|
|
|
|
@dataclasses.dataclass(frozen=True)
|
|
class OutputIsList(
|
|
schemas.Schema[schemas.immutabledict, OutputIsListTuple]
|
|
):
|
|
types: typing.FrozenSet[typing.Type] = frozenset({tuple})
|
|
items: typing.Type[Items4] = dataclasses.field(default_factory=lambda: Items4) # type: ignore
|
|
type_to_output_cls: typing.Mapping[
|
|
typing.Type,
|
|
typing.Type
|
|
] = dataclasses.field(
|
|
default_factory=lambda: {
|
|
tuple: OutputIsListTuple
|
|
}
|
|
)
|
|
|
|
@classmethod
|
|
def validate(
|
|
cls,
|
|
arg: typing.Union[
|
|
OutputIsListTupleInput,
|
|
OutputIsListTuple,
|
|
],
|
|
configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
|
|
) -> OutputIsListTuple:
|
|
return super().validate_base(
|
|
arg,
|
|
configuration=configuration,
|
|
)
|
|
Items5: typing_extensions.TypeAlias = schemas.StrSchema
|
|
|
|
|
|
class OutputNameTuple(
|
|
typing.Tuple[
|
|
str,
|
|
...
|
|
]
|
|
):
|
|
|
|
def __new__(cls, arg: typing.Union[OutputNameTupleInput, OutputNameTuple], configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None):
|
|
return OutputName.validate(arg, configuration=configuration)
|
|
OutputNameTupleInput = typing.Union[
|
|
typing.List[
|
|
str,
|
|
],
|
|
typing.Tuple[
|
|
str,
|
|
...
|
|
]
|
|
]
|
|
|
|
|
|
@dataclasses.dataclass(frozen=True)
|
|
class OutputName(
|
|
schemas.Schema[schemas.immutabledict, OutputNameTuple]
|
|
):
|
|
types: typing.FrozenSet[typing.Type] = frozenset({tuple})
|
|
items: typing.Type[Items5] = dataclasses.field(default_factory=lambda: Items5) # type: ignore
|
|
type_to_output_cls: typing.Mapping[
|
|
typing.Type,
|
|
typing.Type
|
|
] = dataclasses.field(
|
|
default_factory=lambda: {
|
|
tuple: OutputNameTuple
|
|
}
|
|
)
|
|
|
|
@classmethod
|
|
def validate(
|
|
cls,
|
|
arg: typing.Union[
|
|
OutputNameTupleInput,
|
|
OutputNameTuple,
|
|
],
|
|
configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
|
|
) -> OutputNameTuple:
|
|
return super().validate_base(
|
|
arg,
|
|
configuration=configuration,
|
|
)
|
|
Name: typing_extensions.TypeAlias = schemas.StrSchema
|
|
DisplayName: typing_extensions.TypeAlias = schemas.StrSchema
|
|
Description: typing_extensions.TypeAlias = schemas.StrSchema
|
|
Category: typing_extensions.TypeAlias = schemas.StrSchema
|
|
OutputNode: typing_extensions.TypeAlias = schemas.BoolSchema
|
|
Properties3 = typing.TypedDict(
|
|
'Properties3',
|
|
{
|
|
"input": typing.Type[Input],
|
|
"output": typing.Type[Output],
|
|
"output_is_list": typing.Type[OutputIsList],
|
|
"output_name": typing.Type[OutputName],
|
|
"name": typing.Type[Name],
|
|
"display_name": typing.Type[DisplayName],
|
|
"description": typing.Type[Description],
|
|
"category": typing.Type[Category],
|
|
"output_node": typing.Type[OutputNode],
|
|
}
|
|
)
|
|
|
|
|
|
class NodeDict(schemas.immutabledict[str, schemas.OUTPUT_BASE_TYPES]):
|
|
|
|
__required_keys__: typing.FrozenSet[str] = frozenset({
|
|
})
|
|
__optional_keys__: typing.FrozenSet[str] = frozenset({
|
|
"input",
|
|
"output",
|
|
"output_is_list",
|
|
"output_name",
|
|
"name",
|
|
"display_name",
|
|
"description",
|
|
"category",
|
|
"output_node",
|
|
})
|
|
|
|
def __new__(
|
|
cls,
|
|
*,
|
|
input: typing.Union[
|
|
InputDictInput,
|
|
InputDict,
|
|
schemas.Unset
|
|
] = schemas.unset,
|
|
output: typing.Union[
|
|
OutputTupleInput,
|
|
OutputTuple,
|
|
schemas.Unset
|
|
] = schemas.unset,
|
|
output_is_list: typing.Union[
|
|
OutputIsListTupleInput,
|
|
OutputIsListTuple,
|
|
schemas.Unset
|
|
] = schemas.unset,
|
|
output_name: typing.Union[
|
|
OutputNameTupleInput,
|
|
OutputNameTuple,
|
|
schemas.Unset
|
|
] = schemas.unset,
|
|
name: typing.Union[
|
|
str,
|
|
schemas.Unset
|
|
] = schemas.unset,
|
|
display_name: typing.Union[
|
|
str,
|
|
schemas.Unset
|
|
] = schemas.unset,
|
|
description: typing.Union[
|
|
str,
|
|
schemas.Unset
|
|
] = schemas.unset,
|
|
category: typing.Union[
|
|
str,
|
|
schemas.Unset
|
|
] = schemas.unset,
|
|
output_node: typing.Union[
|
|
bool,
|
|
schemas.Unset
|
|
] = schemas.unset,
|
|
configuration_: typing.Optional[schema_configuration.SchemaConfiguration] = None,
|
|
**kwargs: schemas.INPUT_TYPES_ALL,
|
|
):
|
|
arg_: typing.Dict[str, typing.Any] = {}
|
|
for key_, val in (
|
|
("input", input),
|
|
("output", output),
|
|
("output_is_list", output_is_list),
|
|
("output_name", output_name),
|
|
("name", name),
|
|
("display_name", display_name),
|
|
("description", description),
|
|
("category", category),
|
|
("output_node", output_node),
|
|
):
|
|
if isinstance(val, schemas.Unset):
|
|
continue
|
|
arg_[key_] = val
|
|
arg_.update(kwargs)
|
|
used_arg_ = typing.cast(NodeDictInput, arg_)
|
|
return Node.validate(used_arg_, configuration=configuration_)
|
|
|
|
@staticmethod
|
|
def from_dict_(
|
|
arg: typing.Union[
|
|
NodeDictInput,
|
|
NodeDict
|
|
],
|
|
configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
|
|
) -> NodeDict:
|
|
return Node.validate(arg, configuration=configuration)
|
|
|
|
@property
|
|
def input(self) -> typing.Union[InputDict, schemas.Unset]:
|
|
val = self.get("input", schemas.unset)
|
|
if isinstance(val, schemas.Unset):
|
|
return val
|
|
return typing.cast(
|
|
InputDict,
|
|
val
|
|
)
|
|
|
|
@property
|
|
def output(self) -> typing.Union[OutputTuple, schemas.Unset]:
|
|
val = self.get("output", schemas.unset)
|
|
if isinstance(val, schemas.Unset):
|
|
return val
|
|
return typing.cast(
|
|
OutputTuple,
|
|
val
|
|
)
|
|
|
|
@property
|
|
def output_is_list(self) -> typing.Union[OutputIsListTuple, schemas.Unset]:
|
|
val = self.get("output_is_list", schemas.unset)
|
|
if isinstance(val, schemas.Unset):
|
|
return val
|
|
return typing.cast(
|
|
OutputIsListTuple,
|
|
val
|
|
)
|
|
|
|
@property
|
|
def output_name(self) -> typing.Union[OutputNameTuple, schemas.Unset]:
|
|
val = self.get("output_name", schemas.unset)
|
|
if isinstance(val, schemas.Unset):
|
|
return val
|
|
return typing.cast(
|
|
OutputNameTuple,
|
|
val
|
|
)
|
|
|
|
@property
|
|
def name(self) -> typing.Union[str, schemas.Unset]:
|
|
val = self.get("name", schemas.unset)
|
|
if isinstance(val, schemas.Unset):
|
|
return val
|
|
return typing.cast(
|
|
str,
|
|
val
|
|
)
|
|
|
|
@property
|
|
def display_name(self) -> typing.Union[str, schemas.Unset]:
|
|
val = self.get("display_name", schemas.unset)
|
|
if isinstance(val, schemas.Unset):
|
|
return val
|
|
return typing.cast(
|
|
str,
|
|
val
|
|
)
|
|
|
|
@property
|
|
def description(self) -> typing.Union[str, schemas.Unset]:
|
|
val = self.get("description", schemas.unset)
|
|
if isinstance(val, schemas.Unset):
|
|
return val
|
|
return typing.cast(
|
|
str,
|
|
val
|
|
)
|
|
|
|
@property
|
|
def category(self) -> typing.Union[str, schemas.Unset]:
|
|
val = self.get("category", schemas.unset)
|
|
if isinstance(val, schemas.Unset):
|
|
return val
|
|
return typing.cast(
|
|
str,
|
|
val
|
|
)
|
|
|
|
@property
|
|
def output_node(self) -> typing.Union[bool, schemas.Unset]:
|
|
val = self.get("output_node", schemas.unset)
|
|
if isinstance(val, schemas.Unset):
|
|
return val
|
|
return typing.cast(
|
|
bool,
|
|
val
|
|
)
|
|
|
|
def get_additional_property_(self, name: str) -> typing.Union[schemas.OUTPUT_BASE_TYPES, schemas.Unset]:
|
|
schemas.raise_if_key_known(name, self.__required_keys__, self.__optional_keys__)
|
|
return self.get(name, schemas.unset)
|
|
NodeDictInput = typing.Mapping[str, schemas.INPUT_TYPES_ALL]
|
|
|
|
|
|
@dataclasses.dataclass(frozen=True)
|
|
class Node(
|
|
schemas.Schema[NodeDict, tuple]
|
|
):
|
|
"""NOTE: This class is auto generated by OpenAPI JSON Schema Generator.
|
|
Ref: https://github.com/openapi-json-schema-tools/openapi-json-schema-generator
|
|
|
|
Do not edit the class manually.
|
|
"""
|
|
types: typing.FrozenSet[typing.Type] = frozenset({schemas.immutabledict})
|
|
properties: Properties3 = dataclasses.field(default_factory=lambda: schemas.typed_dict_to_instance(Properties3)) # type: ignore
|
|
type_to_output_cls: typing.Mapping[
|
|
typing.Type,
|
|
typing.Type
|
|
] = dataclasses.field(
|
|
default_factory=lambda: {
|
|
schemas.immutabledict: NodeDict
|
|
}
|
|
)
|
|
|
|
@classmethod
|
|
def validate(
|
|
cls,
|
|
arg: typing.Union[
|
|
NodeDictInput,
|
|
NodeDict,
|
|
],
|
|
configuration: typing.Optional[schema_configuration.SchemaConfiguration] = None
|
|
) -> NodeDict:
|
|
return super().validate_base(
|
|
arg,
|
|
configuration=configuration,
|
|
)
|
|
|