from __future__ import annotations from collections.abc import Mapping from typing import Any, TypeVar, BinaryIO, TextIO, TYPE_CHECKING, Generator from attrs import define as _attrs_define from attrs import field as _attrs_field from ..types import UNSET, Unset from ..types import UNSET, Unset from dateutil.parser import isoparse from typing import cast import datetime T = TypeVar("T", bound="SensorSummary") @_attrs_define class SensorSummary: """ Simplified sensor response (for list endpoints) Attributes: created (datetime.datetime): Creation timestamp Example: 2024-01-13T10:30:00Z. description (str): Sensor description Example: Monitors CPU usage and generates events. enabled (bool): Whether the sensor is enabled Example: True. id (int): Sensor ID Example: 1. label (str): Human-readable label Example: CPU Monitoring Sensor. ref (str): Unique reference identifier Example: monitoring.cpu_sensor. trigger_ref (str): Trigger reference Example: monitoring.cpu_threshold. updated (datetime.datetime): Last update timestamp Example: 2024-01-13T10:30:00Z. pack_ref (None | str | Unset): Pack reference (optional) Example: monitoring. """ created: datetime.datetime description: str enabled: bool id: int label: str ref: str trigger_ref: str updated: datetime.datetime pack_ref: None | str | Unset = UNSET additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict) def to_dict(self) -> dict[str, Any]: created = self.created.isoformat() description = self.description enabled = self.enabled id = self.id label = self.label ref = self.ref trigger_ref = self.trigger_ref updated = self.updated.isoformat() pack_ref: None | str | Unset if isinstance(self.pack_ref, Unset): pack_ref = UNSET else: pack_ref = self.pack_ref field_dict: dict[str, Any] = {} field_dict.update(self.additional_properties) field_dict.update({ "created": created, "description": description, "enabled": enabled, "id": id, "label": label, "ref": ref, "trigger_ref": trigger_ref, "updated": updated, }) if pack_ref is not UNSET: field_dict["pack_ref"] = pack_ref return field_dict @classmethod def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T: d = dict(src_dict) created = isoparse(d.pop("created")) description = d.pop("description") enabled = d.pop("enabled") id = d.pop("id") label = d.pop("label") ref = d.pop("ref") trigger_ref = d.pop("trigger_ref") updated = isoparse(d.pop("updated")) def _parse_pack_ref(data: object) -> None | str | Unset: if data is None: return data if isinstance(data, Unset): return data return cast(None | str | Unset, data) pack_ref = _parse_pack_ref(d.pop("pack_ref", UNSET)) sensor_summary = cls( created=created, description=description, enabled=enabled, id=id, label=label, ref=ref, trigger_ref=trigger_ref, updated=updated, pack_ref=pack_ref, ) sensor_summary.additional_properties = d return sensor_summary @property def additional_keys(self) -> list[str]: return list(self.additional_properties.keys()) def __getitem__(self, key: str) -> Any: return self.additional_properties[key] def __setitem__(self, key: str, value: Any) -> None: self.additional_properties[key] = value def __delitem__(self, key: str) -> None: del self.additional_properties[key] def __contains__(self, key: str) -> bool: return key in self.additional_properties