Fringg
116 lines
4.8 KiB
Python
116 lines
4.8 KiB
Python
from datetime import UTC, datetime, timedelta
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import structlog
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from sqlalchemy import func, select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.database.models import SubscriptionConversion, User
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logger = structlog.get_logger(__name__)
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async def create_subscription_conversion(
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db: AsyncSession,
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user_id: int,
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trial_duration_days: int,
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payment_method: str,
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first_payment_amount_kopeks: int,
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first_paid_period_days: int,
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) -> SubscriptionConversion:
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conversion = SubscriptionConversion(
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user_id=user_id,
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converted_at=datetime.now(UTC),
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trial_duration_days=trial_duration_days,
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payment_method=payment_method,
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first_payment_amount_kopeks=first_payment_amount_kopeks,
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first_paid_period_days=first_paid_period_days,
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)
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db.add(conversion)
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await db.commit()
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await db.refresh(conversion)
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logger.info(
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'✅ Создана запись о конверсии для пользователя дн. → дн. за ₽',
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user_id=user_id,
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trial_duration_days=trial_duration_days,
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first_paid_period_days=first_paid_period_days,
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first_payment_amount_kopeks=first_payment_amount_kopeks / 100,
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)
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return conversion
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async def get_conversion_by_user_id(db: AsyncSession, user_id: int) -> SubscriptionConversion | None:
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result = await db.execute(
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select(SubscriptionConversion)
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.where(SubscriptionConversion.user_id == user_id)
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.order_by(SubscriptionConversion.converted_at.desc())
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.limit(1)
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)
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return result.scalar_one_or_none()
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async def get_conversion_statistics(db: AsyncSession) -> dict:
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from app.database.models import Subscription
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# Получаем количество записей о конверсиях в таблице
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total_conversions_result = await db.execute(select(func.count(SubscriptionConversion.id)))
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total_conversions = total_conversions_result.scalar() or 0
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# Подсчитываем пользователей с платными подписками
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users_with_paid_result = await db.execute(
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select(func.count(User.id)).where(User.has_had_paid_subscription.is_(True))
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)
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users_with_paid = users_with_paid_result.scalar() or 0
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# Подсчитываем всех пользователей с подписками (использовавших триал)
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total_users_with_subscriptions_result = await db.execute(select(func.count(func.distinct(Subscription.user_id))))
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total_users_with_subscriptions = total_users_with_subscriptions_result.scalar() or 0
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# Расчёт конверсии: (оплатившие) / (всего с подписками) * 100
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# Знаменатель = все юзеры с подписками (включая уже конвертированных)
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if total_users_with_subscriptions > 0:
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conversion_rate = round((users_with_paid / total_users_with_subscriptions) * 100, 1)
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else:
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conversion_rate = 0.0
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avg_trial_duration_result = await db.execute(select(func.avg(SubscriptionConversion.trial_duration_days)))
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avg_trial_duration = avg_trial_duration_result.scalar() or 0
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avg_first_payment_result = await db.execute(select(func.avg(SubscriptionConversion.first_payment_amount_kopeks)))
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avg_first_payment = avg_first_payment_result.scalar() or 0
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month_ago = datetime.now(UTC) - timedelta(days=30)
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month_conversions_result = await db.execute(
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select(func.count(SubscriptionConversion.id)).where(SubscriptionConversion.converted_at >= month_ago)
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)
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month_conversions = month_conversions_result.scalar() or 0
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logger.info('📊 Статистика конверсий:')
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logger.info('Всего пользователей с подписками', total_users_with_subscriptions=total_users_with_subscriptions)
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logger.info('Оплативших подписку', users_with_paid=users_with_paid)
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logger.info('Рассчитанная конверсия', conversion_rate=conversion_rate)
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return {
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'total_conversions': total_conversions,
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'conversion_rate': conversion_rate,
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'users_with_trial': total_users_with_subscriptions,
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'converted_users': users_with_paid,
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'avg_trial_duration_days': round(avg_trial_duration, 1),
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'avg_first_payment_rubles': round((avg_first_payment or 0) / 100, 2),
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'month_conversions': month_conversions,
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}
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async def get_users_had_trial_count(db: AsyncSession) -> int:
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conversions_count_result = await db.execute(select(func.count(func.distinct(SubscriptionConversion.user_id))))
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conversions_count = conversions_count_result.scalar()
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paid_users_result = await db.execute(select(func.count(User.id)).where(User.has_had_paid_subscription == True))
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paid_users_count = paid_users_result.scalar()
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return max(conversions_count, paid_users_count)
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