fleet-memory/memora-clients/python/models/search_result.py
Nicolò Boschi c82fff949b add profiles
2025-11-13 13:22:27 +01:00

156 lines
4.4 KiB
Python

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