from __future__ import annotations

import datetime
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 dateutil.parser import isoparse

from ..types import UNSET, Unset

T = TypeVar("T", bound="MemoryItem")


@_attrs_define
class MemoryItem:
    """Single memory item for batch put.

    Example:
        {'content': "Alice mentioned she's working on a new ML model", 'context': 'team meeting', 'event_date':
            '2024-01-15T10:30:00Z'}

    Attributes:
        content (str):
        event_date (datetime.datetime | None | Unset):
        context (None | str | Unset):
    """

    content: str
    event_date: datetime.datetime | None | Unset = UNSET
    context: None | str | Unset = UNSET
    additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)

    def to_dict(self) -> dict[str, Any]:
        content = self.content

        event_date: None | str | Unset
        if isinstance(self.event_date, Unset):
            event_date = UNSET
        elif isinstance(self.event_date, datetime.datetime):
            event_date = self.event_date.isoformat()
        else:
            event_date = self.event_date

        context: None | str | Unset
        if isinstance(self.context, Unset):
            context = UNSET
        else:
            context = self.context

        field_dict: dict[str, Any] = {}
        field_dict.update(self.additional_properties)
        field_dict.update(
            {
                "content": content,
            }
        )
        if event_date is not UNSET:
            field_dict["event_date"] = event_date
        if context is not UNSET:
            field_dict["context"] = context

        return field_dict

    @classmethod
    def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
        d = dict(src_dict)
        content = d.pop("content")

        def _parse_event_date(data: object) -> datetime.datetime | None | Unset:
            if data is None:
                return data
            if isinstance(data, Unset):
                return data
            try:
                if not isinstance(data, str):
                    raise TypeError()
                event_date_type_0 = isoparse(data)

                return event_date_type_0
            except (TypeError, ValueError, AttributeError, KeyError):
                pass
            return cast(datetime.datetime | None | Unset, data)

        event_date = _parse_event_date(d.pop("event_date", 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))

        memory_item = cls(
            content=content,
            event_date=event_date,
            context=context,
        )

        memory_item.additional_properties = d
        return memory_item

    @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