262 lines
7.6 KiB
Python
262 lines
7.6 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 dateutil.parser import isoparse
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from typing import cast
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import datetime
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if TYPE_CHECKING:
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from ..models.workflow_response_definition import WorkflowResponseDefinition
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from ..models.workflow_response_out_schema_type_0 import WorkflowResponseOutSchemaType0
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from ..models.workflow_response_param_schema_type_0 import WorkflowResponseParamSchemaType0
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T = TypeVar("T", bound="WorkflowResponse")
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@_attrs_define
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class WorkflowResponse:
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""" Response DTO for workflow information
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Attributes:
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created (datetime.datetime): Creation timestamp Example: 2024-01-13T10:30:00Z.
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definition (WorkflowResponseDefinition): Workflow definition
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enabled (bool): Whether the workflow is enabled Example: True.
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id (int): Workflow ID Example: 1.
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label (str): Human-readable label Example: Incident Response Workflow.
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out_schema (None | WorkflowResponseOutSchemaType0): Output schema
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pack (int): Pack ID Example: 1.
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pack_ref (str): Pack reference Example: slack.
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param_schema (None | WorkflowResponseParamSchemaType0): Parameter schema
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ref (str): Unique reference identifier Example: slack.incident_workflow.
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tags (list[str]): Tags Example: ['incident', 'slack', 'approval'].
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updated (datetime.datetime): Last update timestamp Example: 2024-01-13T10:30:00Z.
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version (str): Workflow version Example: 1.0.0.
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description (None | str | Unset): Workflow description Example: Automated incident response workflow with
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notifications and approvals.
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"""
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created: datetime.datetime
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definition: WorkflowResponseDefinition
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enabled: bool
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id: int
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label: str
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out_schema: None | WorkflowResponseOutSchemaType0
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pack: int
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pack_ref: str
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param_schema: None | WorkflowResponseParamSchemaType0
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ref: str
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tags: list[str]
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updated: datetime.datetime
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version: str
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description: 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.workflow_response_definition import WorkflowResponseDefinition
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from ..models.workflow_response_out_schema_type_0 import WorkflowResponseOutSchemaType0
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from ..models.workflow_response_param_schema_type_0 import WorkflowResponseParamSchemaType0
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created = self.created.isoformat()
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definition = self.definition.to_dict()
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enabled = self.enabled
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id = self.id
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label = self.label
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out_schema: dict[str, Any] | None
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if isinstance(self.out_schema, WorkflowResponseOutSchemaType0):
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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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pack = self.pack
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pack_ref = self.pack_ref
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param_schema: dict[str, Any] | None
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if isinstance(self.param_schema, WorkflowResponseParamSchemaType0):
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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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ref = self.ref
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tags = self.tags
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updated = self.updated.isoformat()
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version = self.version
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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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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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"created": created,
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"definition": definition,
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"enabled": enabled,
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"id": id,
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"label": label,
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"out_schema": out_schema,
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"pack": pack,
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"pack_ref": pack_ref,
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"param_schema": param_schema,
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"ref": ref,
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"tags": tags,
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"updated": updated,
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"version": version,
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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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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.workflow_response_definition import WorkflowResponseDefinition
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from ..models.workflow_response_out_schema_type_0 import WorkflowResponseOutSchemaType0
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from ..models.workflow_response_param_schema_type_0 import WorkflowResponseParamSchemaType0
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d = dict(src_dict)
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created = isoparse(d.pop("created"))
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definition = WorkflowResponseDefinition.from_dict(d.pop("definition"))
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enabled = d.pop("enabled")
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id = d.pop("id")
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label = d.pop("label")
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def _parse_out_schema(data: object) -> None | WorkflowResponseOutSchemaType0:
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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 = WorkflowResponseOutSchemaType0.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 | WorkflowResponseOutSchemaType0, data)
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out_schema = _parse_out_schema(d.pop("out_schema"))
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pack = d.pop("pack")
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pack_ref = d.pop("pack_ref")
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def _parse_param_schema(data: object) -> None | WorkflowResponseParamSchemaType0:
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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 = WorkflowResponseParamSchemaType0.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 | WorkflowResponseParamSchemaType0, data)
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param_schema = _parse_param_schema(d.pop("param_schema"))
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ref = d.pop("ref")
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tags = cast(list[str], d.pop("tags"))
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updated = isoparse(d.pop("updated"))
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version = d.pop("version")
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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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workflow_response = cls(
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created=created,
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definition=definition,
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enabled=enabled,
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id=id,
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label=label,
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out_schema=out_schema,
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pack=pack,
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pack_ref=pack_ref,
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param_schema=param_schema,
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ref=ref,
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tags=tags,
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updated=updated,
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version=version,
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description=description,
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)
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workflow_response.additional_properties = d
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return workflow_response
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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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