284 lines
9.4 KiB
Python
284 lines
9.4 KiB
Python
from __future__ import annotations
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from collections.abc import Mapping
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from typing import Any, TypeVar, BinaryIO, TextIO, TYPE_CHECKING, Generator
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from attrs import define as _attrs_define
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from attrs import field as _attrs_field
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from ..types import UNSET, Unset
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from ..types import UNSET, Unset
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from typing import cast
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if TYPE_CHECKING:
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from ..models.update_workflow_request_definition_type_0 import UpdateWorkflowRequestDefinitionType0
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from ..models.update_workflow_request_out_schema_type_0 import UpdateWorkflowRequestOutSchemaType0
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from ..models.update_workflow_request_param_schema_type_0 import UpdateWorkflowRequestParamSchemaType0
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T = TypeVar("T", bound="UpdateWorkflowRequest")
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@_attrs_define
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class UpdateWorkflowRequest:
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""" Request DTO for updating a workflow
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Attributes:
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definition (None | UpdateWorkflowRequestDefinitionType0): Workflow definition
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out_schema (None | UpdateWorkflowRequestOutSchemaType0): Output schema
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param_schema (None | UpdateWorkflowRequestParamSchemaType0): Parameter schema
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description (None | str | Unset): Workflow description Example: Enhanced incident response workflow with
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additional automation.
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enabled (bool | None | Unset): Whether the workflow is enabled Example: True.
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label (None | str | Unset): Human-readable label Example: Incident Response Workflow (Updated).
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tags (list[str] | None | Unset): Tags Example: ['incident', 'slack', 'approval', 'automation'].
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version (None | str | Unset): Workflow version Example: 1.1.0.
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"""
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definition: None | UpdateWorkflowRequestDefinitionType0
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out_schema: None | UpdateWorkflowRequestOutSchemaType0
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param_schema: None | UpdateWorkflowRequestParamSchemaType0
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description: None | str | Unset = UNSET
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enabled: bool | None | Unset = UNSET
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label: None | str | Unset = UNSET
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tags: list[str] | None | Unset = UNSET
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version: None | str | Unset = UNSET
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additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)
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def to_dict(self) -> dict[str, Any]:
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from ..models.update_workflow_request_param_schema_type_0 import UpdateWorkflowRequestParamSchemaType0
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from ..models.update_workflow_request_definition_type_0 import UpdateWorkflowRequestDefinitionType0
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from ..models.update_workflow_request_out_schema_type_0 import UpdateWorkflowRequestOutSchemaType0
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definition: dict[str, Any] | None
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if isinstance(self.definition, UpdateWorkflowRequestDefinitionType0):
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definition = self.definition.to_dict()
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else:
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definition = self.definition
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out_schema: dict[str, Any] | None
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if isinstance(self.out_schema, UpdateWorkflowRequestOutSchemaType0):
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out_schema = self.out_schema.to_dict()
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else:
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out_schema = self.out_schema
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param_schema: dict[str, Any] | None
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if isinstance(self.param_schema, UpdateWorkflowRequestParamSchemaType0):
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param_schema = self.param_schema.to_dict()
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else:
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param_schema = self.param_schema
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description: None | str | Unset
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if isinstance(self.description, Unset):
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description = UNSET
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else:
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description = self.description
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enabled: bool | None | Unset
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if isinstance(self.enabled, Unset):
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enabled = UNSET
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else:
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enabled = self.enabled
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label: None | str | Unset
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if isinstance(self.label, Unset):
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label = UNSET
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else:
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label = self.label
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tags: list[str] | None | Unset
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if isinstance(self.tags, Unset):
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tags = UNSET
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elif isinstance(self.tags, list):
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tags = self.tags
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else:
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tags = self.tags
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version: None | str | Unset
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if isinstance(self.version, Unset):
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version = UNSET
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else:
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version = self.version
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field_dict: dict[str, Any] = {}
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field_dict.update(self.additional_properties)
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field_dict.update({
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"definition": definition,
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"out_schema": out_schema,
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"param_schema": param_schema,
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})
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if description is not UNSET:
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field_dict["description"] = description
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if enabled is not UNSET:
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field_dict["enabled"] = enabled
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if label is not UNSET:
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field_dict["label"] = label
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if tags is not UNSET:
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field_dict["tags"] = tags
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if version is not UNSET:
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field_dict["version"] = version
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return field_dict
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@classmethod
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def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
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from ..models.update_workflow_request_definition_type_0 import UpdateWorkflowRequestDefinitionType0
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from ..models.update_workflow_request_out_schema_type_0 import UpdateWorkflowRequestOutSchemaType0
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from ..models.update_workflow_request_param_schema_type_0 import UpdateWorkflowRequestParamSchemaType0
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d = dict(src_dict)
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def _parse_definition(data: object) -> None | UpdateWorkflowRequestDefinitionType0:
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if data is None:
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return data
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try:
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if not isinstance(data, dict):
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raise TypeError()
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definition_type_0 = UpdateWorkflowRequestDefinitionType0.from_dict(data)
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return definition_type_0
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except (TypeError, ValueError, AttributeError, KeyError):
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pass
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return cast(None | UpdateWorkflowRequestDefinitionType0, data)
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definition = _parse_definition(d.pop("definition"))
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def _parse_out_schema(data: object) -> None | UpdateWorkflowRequestOutSchemaType0:
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if data is None:
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return data
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try:
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if not isinstance(data, dict):
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raise TypeError()
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out_schema_type_0 = UpdateWorkflowRequestOutSchemaType0.from_dict(data)
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return out_schema_type_0
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except (TypeError, ValueError, AttributeError, KeyError):
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pass
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return cast(None | UpdateWorkflowRequestOutSchemaType0, data)
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out_schema = _parse_out_schema(d.pop("out_schema"))
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def _parse_param_schema(data: object) -> None | UpdateWorkflowRequestParamSchemaType0:
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if data is None:
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return data
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try:
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if not isinstance(data, dict):
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raise TypeError()
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param_schema_type_0 = UpdateWorkflowRequestParamSchemaType0.from_dict(data)
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return param_schema_type_0
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except (TypeError, ValueError, AttributeError, KeyError):
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pass
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return cast(None | UpdateWorkflowRequestParamSchemaType0, data)
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param_schema = _parse_param_schema(d.pop("param_schema"))
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def _parse_description(data: object) -> None | str | Unset:
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if data is None:
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return data
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if isinstance(data, Unset):
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return data
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return cast(None | str | Unset, data)
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description = _parse_description(d.pop("description", UNSET))
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def _parse_enabled(data: object) -> bool | None | Unset:
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if data is None:
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return data
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if isinstance(data, Unset):
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return data
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return cast(bool | None | Unset, data)
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enabled = _parse_enabled(d.pop("enabled", UNSET))
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def _parse_label(data: object) -> None | str | Unset:
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if data is None:
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return data
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if isinstance(data, Unset):
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return data
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return cast(None | str | Unset, data)
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label = _parse_label(d.pop("label", UNSET))
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def _parse_tags(data: object) -> list[str] | None | Unset:
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if data is None:
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return data
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if isinstance(data, Unset):
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return data
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try:
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if not isinstance(data, list):
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raise TypeError()
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tags_type_0 = cast(list[str], data)
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return tags_type_0
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except (TypeError, ValueError, AttributeError, KeyError):
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pass
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return cast(list[str] | None | Unset, data)
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tags = _parse_tags(d.pop("tags", UNSET))
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def _parse_version(data: object) -> None | str | Unset:
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if data is None:
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return data
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if isinstance(data, Unset):
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return data
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return cast(None | str | Unset, data)
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version = _parse_version(d.pop("version", UNSET))
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update_workflow_request = cls(
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definition=definition,
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out_schema=out_schema,
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param_schema=param_schema,
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description=description,
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enabled=enabled,
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label=label,
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tags=tags,
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version=version,
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)
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update_workflow_request.additional_properties = d
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return update_workflow_request
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@property
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def additional_keys(self) -> list[str]:
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return list(self.additional_properties.keys())
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def __getitem__(self, key: str) -> Any:
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return self.additional_properties[key]
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def __setitem__(self, key: str, value: Any) -> None:
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self.additional_properties[key] = value
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def __delitem__(self, key: str) -> None:
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del self.additional_properties[key]
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def __contains__(self, key: str) -> bool:
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return key in self.additional_properties
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