import asyncio
import logging
from datetime import datetime, timedelta

from aiogram_dialog import DialogManager
from sqlalchemy import func, select
from sqlalchemy.exc import SQLAlchemyError

from shopbot.bot.database.db import async_session
from shopbot.bot.database.models import Account, UserModel


def _get_start_of_day():
    return datetime.today().replace(hour=0, minute=0, second=0, microsecond=0)


async def get_admin_statistics(dialog_manager: DialogManager, **kwargs):
    today_start = _get_start_of_day()
    week_start = today_start - timedelta(days=7)
    month_start = today_start - timedelta(days=30)

    try:
        async with async_session() as session:
            async with session.begin():
                total_sold_query = select(func.count(Account.id)).where(
                    Account.is_sold == True  # noqa: E712
                )
                currently_for_sale_query = select(func.count(Account.id)).where(
                    Account.is_sold == False  # noqa: E712
                )
                total_sales_query = select(func.sum(Account.price)).where(
                    Account.is_sold == True  # noqa: E712
                )
                highest_sale_query = select(func.max(Account.price)).where(
                    Account.is_sold == True  # noqa: E712
                )
                average_sale_query = select(func.avg(Account.price)).where(
                    Account.is_sold == True  # noqa: E712
                )
                total_users_query = select(func.count(UserModel.id))

                profit_today_query = select(func.sum(Account.price)).where(
                    Account.date_purchase >= today_start
                )
                profit_week_query = select(func.sum(Account.price)).where(
                    Account.date_purchase >= week_start
                )
                profit_month_query = select(func.sum(Account.price)).where(
                    Account.date_purchase >= month_start
                )

                (
                    total_sold,
                    currently_for_sale,
                    total_sales,
                    highest_sale,
                    average_sale,
                    total_users,
                    profit_today,
                    profit_week,
                    profit_month,
                ) = await asyncio.gather(
                    session.scalar(total_sold_query),
                    session.scalar(currently_for_sale_query),
                    session.scalar(total_sales_query),
                    session.scalar(highest_sale_query),
                    session.scalar(average_sale_query),
                    session.scalar(total_users_query),
                    session.scalar(profit_today_query),
                    session.scalar(profit_week_query),
                    session.scalar(profit_month_query),
                )

                return {
                    "total_sold": total_sold or 0,
                    "currently_for_sale": currently_for_sale or 0,
                    "total_sales": total_sales or 0.0,
                    "highest_sale": highest_sale or 0.0,
                    "average_sale": average_sale or 0.0,
                    "total_users": total_users or 0,
                    "profit_today": profit_today or 0.0,
                    "profit_week": profit_week or 0.0,
                    "profit_month": profit_month or 0.0,
                    "current_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
                }

    except SQLAlchemyError as e:
        logging.error(f"Database error: {e}", exc_info=True)
        return {"error": "Произошла ошибка при работе с базой данных."}
    except Exception as e:
        logging.error(f"An unexpected error occurred: {e}", exc_info=True)
        return {"error": "Произошла непредвиденная ошибка."}