120 lines
3.5 KiB
Python
120 lines
3.5 KiB
Python
from __future__ import annotations
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import datetime
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from collections.abc import Mapping
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from typing import Any, TypeVar, cast
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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 dateutil.parser import isoparse
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from ..types import UNSET, Unset
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T = TypeVar("T", bound="MemoryItem")
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@_attrs_define
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class MemoryItem:
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"""Single memory item for batch put.
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Example:
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{'content': "Alice mentioned she's working on a new ML model", 'context': 'team meeting', 'event_date':
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'2024-01-15T10:30:00Z'}
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Attributes:
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content (str):
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event_date (datetime.datetime | None | Unset):
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context (None | str | Unset):
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"""
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content: str
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event_date: datetime.datetime | None | Unset = UNSET
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context: 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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content = self.content
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event_date: None | str | Unset
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if isinstance(self.event_date, Unset):
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event_date = UNSET
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elif isinstance(self.event_date, datetime.datetime):
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event_date = self.event_date.isoformat()
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else:
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event_date = self.event_date
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context: None | str | Unset
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if isinstance(self.context, Unset):
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context = UNSET
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else:
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context = self.context
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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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{
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"content": content,
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}
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)
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if event_date is not UNSET:
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field_dict["event_date"] = event_date
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if context is not UNSET:
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field_dict["context"] = context
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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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content = d.pop("content")
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def _parse_event_date(data: object) -> datetime.datetime | None | 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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try:
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if not isinstance(data, str):
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raise TypeError()
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event_date_type_0 = isoparse(data)
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return event_date_type_0
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except (TypeError, ValueError, AttributeError, KeyError):
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pass
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return cast(datetime.datetime | None | Unset, data)
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event_date = _parse_event_date(d.pop("event_date", UNSET))
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def _parse_context(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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context = _parse_context(d.pop("context", UNSET))
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memory_item = cls(
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content=content,
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event_date=event_date,
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context=context,
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)
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memory_item.additional_properties = d
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return memory_item
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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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