from collections.abc import Mapping
from typing import TYPE_CHECKING, Any, TypeVar

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

if TYPE_CHECKING:
    from .ad_visit_statistic import AdVisitStatistic


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


@_attrs_define
class Statistic:
    """
    Attributes:
        total_reward_input (int):
        total_visit_count (int):
        total_ads_count (int):
        monthly_data (list['AdVisitStatistic']):
        daily_data (list['AdVisitStatistic']):
        hourly_data (list['AdVisitStatistic']):
    """

    total_reward_input: int
    total_visit_count: int
    total_ads_count: int
    monthly_data: list["AdVisitStatistic"]
    daily_data: list["AdVisitStatistic"]
    hourly_data: list["AdVisitStatistic"]
    additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)

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

        total_visit_count = self.total_visit_count

        total_ads_count = self.total_ads_count

        monthly_data = []
        for monthly_data_item_data in self.monthly_data:
            monthly_data_item = monthly_data_item_data.to_dict()
            monthly_data.append(monthly_data_item)

        daily_data = []
        for daily_data_item_data in self.daily_data:
            daily_data_item = daily_data_item_data.to_dict()
            daily_data.append(daily_data_item)

        hourly_data = []
        for hourly_data_item_data in self.hourly_data:
            hourly_data_item = hourly_data_item_data.to_dict()
            hourly_data.append(hourly_data_item)

        field_dict: dict[str, Any] = {}
        field_dict.update(self.additional_properties)
        field_dict.update(
            {
                "total_reward_input": total_reward_input,
                "total_visit_count": total_visit_count,
                "total_ads_count": total_ads_count,
                "monthly_data": monthly_data,
                "daily_data": daily_data,
                "hourly_data": hourly_data,
            }
        )

        return field_dict

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

        d = dict(src_dict)
        total_reward_input = d.pop("total_reward_input")

        total_visit_count = d.pop("total_visit_count")

        total_ads_count = d.pop("total_ads_count")

        monthly_data = []
        _monthly_data = d.pop("monthly_data")
        for monthly_data_item_data in _monthly_data:
            monthly_data_item = AdVisitStatistic.from_dict(monthly_data_item_data)

            monthly_data.append(monthly_data_item)

        daily_data = []
        _daily_data = d.pop("daily_data")
        for daily_data_item_data in _daily_data:
            daily_data_item = AdVisitStatistic.from_dict(daily_data_item_data)

            daily_data.append(daily_data_item)

        hourly_data = []
        _hourly_data = d.pop("hourly_data")
        for hourly_data_item_data in _hourly_data:
            hourly_data_item = AdVisitStatistic.from_dict(hourly_data_item_data)

            hourly_data.append(hourly_data_item)

        statistic = cls(
            total_reward_input=total_reward_input,
            total_visit_count=total_visit_count,
            total_ads_count=total_ads_count,
            monthly_data=monthly_data,
            daily_data=daily_data,
            hourly_data=hourly_data,
        )

        statistic.additional_properties = d
        return statistic

    @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