from __future__ import annotations from collections.abc import Mapping from typing import Any, TypeVar, cast from attrs import define as _attrs_define from attrs import field as _attrs_field from ..types import UNSET, Unset T = TypeVar("T", bound="SearchResult") @_attrs_define class SearchResult: """Single search result item. Example: {'context': 'work info', 'event_date': '2024-01-15T10:30:00Z', 'id': '123e4567-e89b-12d3-a456-426614174000', 'text': 'Alice works at Google on the AI team', 'type': 'world'} Attributes: id (str): text (str): type_ (None | str | Unset): activation (float | None | Unset): context (None | str | Unset): event_date (None | str | Unset): """ id: str text: str type_: None | str | Unset = UNSET activation: float | None | Unset = UNSET context: None | str | Unset = UNSET event_date: None | str | Unset = UNSET additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict) def to_dict(self) -> dict[str, Any]: id = self.id text = self.text type_: None | str | Unset if isinstance(self.type_, Unset): type_ = UNSET else: type_ = self.type_ activation: float | None | Unset if isinstance(self.activation, Unset): activation = UNSET else: activation = self.activation context: None | str | Unset if isinstance(self.context, Unset): context = UNSET else: context = self.context event_date: None | str | Unset if isinstance(self.event_date, Unset): event_date = UNSET else: event_date = self.event_date field_dict: dict[str, Any] = {} field_dict.update(self.additional_properties) field_dict.update( { "id": id, "text": text, } ) if type_ is not UNSET: field_dict["type"] = type_ if activation is not UNSET: field_dict["activation"] = activation if context is not UNSET: field_dict["context"] = context if event_date is not UNSET: field_dict["event_date"] = event_date return field_dict @classmethod def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T: d = dict(src_dict) id = d.pop("id") text = d.pop("text") def _parse_type_(data: object) -> None | str | Unset: if data is None: return data if isinstance(data, Unset): return data return cast(None | str | Unset, data) type_ = _parse_type_(d.pop("type", UNSET)) def _parse_activation(data: object) -> float | None | Unset: if data is None: return data if isinstance(data, Unset): return data return cast(float | None | Unset, data) activation = _parse_activation(d.pop("activation", UNSET)) def _parse_context(data: object) -> None | str | Unset: if data is None: return data if isinstance(data, Unset): return data return cast(None | str | Unset, data) context = _parse_context(d.pop("context", UNSET)) def _parse_event_date(data: object) -> None | str | Unset: if data is None: return data if isinstance(data, Unset): return data return cast(None | str | Unset, data) event_date = _parse_event_date(d.pop("event_date", UNSET)) search_result = cls( id=id, text=text, type_=type_, activation=activation, context=context, event_date=event_date, ) search_result.additional_properties = d return search_result @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