from collections.abc import Mapping
from typing import TYPE_CHECKING, Any, TypeVar, Union, cast
from uuid import UUID

from attrs import define as _attrs_define
from attrs import field as _attrs_field

from .zone_state_enum import ZoneStateEnum
from .zone_type_enum import ZoneTypeEnum

if TYPE_CHECKING:
    from .zone_area_type_0 import ZoneAreaType0


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


@_attrs_define
class Zone:
    """
    Attributes:
        uuid (UUID):
        name (str):
        type_ (ZoneTypeEnum): * `1` - manual
            * `2` - neighborhood partition
        area (Union['ZoneAreaType0', None]):
        state (ZoneStateEnum): * `1` - not_active
            * `10` - active
        total_score (int):
        activation_score (str):
        location (Any):
    """

    uuid: UUID
    name: str
    type_: ZoneTypeEnum
    area: Union["ZoneAreaType0", None]
    state: ZoneStateEnum
    total_score: int
    activation_score: str
    location: Any
    additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)

    def to_dict(self) -> dict[str, Any]:
        from .zone_area_type_0 import ZoneAreaType0

        uuid = str(self.uuid)

        name = self.name

        type_ = self.type_.value

        area: Union[None, dict[str, Any]]
        if isinstance(self.area, ZoneAreaType0):
            area = self.area.to_dict()
        else:
            area = self.area

        state = self.state.value

        total_score = self.total_score

        activation_score = self.activation_score

        location = self.location

        field_dict: dict[str, Any] = {}
        field_dict.update(self.additional_properties)
        field_dict.update(
            {
                "uuid": uuid,
                "name": name,
                "type": type_,
                "area": area,
                "state": state,
                "total_score": total_score,
                "activation_score": activation_score,
                "location": location,
            }
        )

        return field_dict

    @classmethod
    def from_dict(cls: type[T], src_dict: Mapping[str, Any]) -> T:
        from .zone_area_type_0 import ZoneAreaType0

        d = dict(src_dict)
        uuid = UUID(d.pop("uuid"))

        name = d.pop("name")

        type_ = ZoneTypeEnum(d.pop("type"))

        def _parse_area(data: object) -> Union["ZoneAreaType0", None]:
            if data is None:
                return data
            try:
                if not isinstance(data, dict):
                    raise TypeError()
                area_type_0 = ZoneAreaType0.from_dict(data)

                return area_type_0
            except:  # noqa: E722
                pass
            return cast(Union["ZoneAreaType0", None], data)

        area = _parse_area(d.pop("area"))

        state = ZoneStateEnum(d.pop("state"))

        total_score = d.pop("total_score")

        activation_score = d.pop("activation_score")

        location = d.pop("location")

        zone = cls(
            uuid=uuid,
            name=name,
            type_=type_,
            area=area,
            state=state,
            total_score=total_score,
            activation_score=activation_score,
            location=location,
        )

        zone.additional_properties = d
        return zone

    @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