177 lines
4.3 KiB
Python
177 lines
4.3 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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T = TypeVar("T", bound="WorkflowSummary")
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@_attrs_define
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class WorkflowSummary:
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""" Simplified workflow response (for list endpoints)
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Attributes:
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created (datetime.datetime): Creation timestamp Example: 2024-01-13T10:30:00Z.
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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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pack_ref (str): Pack reference Example: slack.
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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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enabled: bool
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id: int
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label: str
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pack_ref: str
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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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created = self.created.isoformat()
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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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pack_ref = self.pack_ref
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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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"enabled": enabled,
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"id": id,
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"label": label,
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"pack_ref": pack_ref,
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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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d = dict(src_dict)
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created = isoparse(d.pop("created"))
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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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pack_ref = d.pop("pack_ref")
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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_summary = cls(
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created=created,
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enabled=enabled,
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id=id,
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label=label,
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pack_ref=pack_ref,
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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_summary.additional_properties = d
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return workflow_summary
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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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