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

from attrs import define as _attrs_define
from attrs import field as _attrs_field
from dateutil.parser import isoparse

if TYPE_CHECKING:
    from ..models.transaction import Transaction


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


@_attrs_define
class TransactionGrouped:
    """
    Attributes:
        reference (UUID):
        application (UUID):
        total_amount (float):
        total_count (int):
        state (int):
        description (str):
        created_at (datetime.datetime):
        role (int):
        transactions (list['Transaction']):
    """

    reference: UUID
    application: UUID
    total_amount: float
    total_count: int
    state: int
    description: str
    created_at: datetime.datetime
    role: int
    transactions: list["Transaction"]
    additional_properties: dict[str, Any] = _attrs_field(init=False, factory=dict)

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

        application = str(self.application)

        total_amount = self.total_amount

        total_count = self.total_count

        state = self.state

        description = self.description

        created_at = self.created_at.isoformat()

        role = self.role

        transactions = []
        for transactions_item_data in self.transactions:
            transactions_item = transactions_item_data.to_dict()
            transactions.append(transactions_item)

        field_dict: dict[str, Any] = {}
        field_dict.update(self.additional_properties)
        field_dict.update(
            {
                "reference": reference,
                "application": application,
                "total_amount": total_amount,
                "total_count": total_count,
                "state": state,
                "description": description,
                "created_at": created_at,
                "role": role,
                "transactions": transactions,
            }
        )

        return field_dict

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

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

        application = UUID(d.pop("application"))

        total_amount = d.pop("total_amount")

        total_count = d.pop("total_count")

        state = d.pop("state")

        description = d.pop("description")

        created_at = isoparse(d.pop("created_at"))

        role = d.pop("role")

        transactions = []
        _transactions = d.pop("transactions")
        for transactions_item_data in _transactions:
            transactions_item = Transaction.from_dict(transactions_item_data)

            transactions.append(transactions_item)

        transaction_grouped = cls(
            reference=reference,
            application=application,
            total_amount=total_amount,
            total_count=total_count,
            state=state,
            description=description,
            created_at=created_at,
            role=role,
            transactions=transactions,
        )

        transaction_grouped.additional_properties = d
        return transaction_grouped

    @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