Vladless
127 lines
3.8 KiB
Python
127 lines
3.8 KiB
Python
from sqlalchemy import func, insert, select
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from sqlalchemy.exc import SQLAlchemyError
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from sqlalchemy.ext.asyncio import AsyncSession
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from database.models import Payment, TrackingSource, User
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from logger import logger
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async def create_tracking_source(
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session: AsyncSession, name: str, code: str, type_: str, created_by: int
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):
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try:
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stmt = insert(TrackingSource).values(
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name=name,
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code=code,
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type=type_,
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created_by=created_by,
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)
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await session.execute(stmt)
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await session.commit()
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logger.info(f"🆕 Источник трафика {code} создан")
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except SQLAlchemyError as e:
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logger.error(f"❌ Ошибка при создании источника {code}: {e}")
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await session.rollback()
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async def get_all_tracking_sources(session: AsyncSession) -> list[dict]:
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registrations_subq = (
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select(func.count(func.distinct(User.tg_id)))
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.where(User.source_code == TrackingSource.code)
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.correlate(TrackingSource)
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.scalar_subquery()
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)
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trials_subq = (
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select(func.count(func.distinct(User.tg_id)))
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.where((User.source_code == TrackingSource.code) & (User.trial == 1))
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.correlate(TrackingSource)
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.scalar_subquery()
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)
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payments_subq = (
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select(func.count(func.distinct(Payment.tg_id)))
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.join(User, Payment.tg_id == User.tg_id)
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.where(
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(User.source_code == TrackingSource.code) & (Payment.status == "success")
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)
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.correlate(TrackingSource)
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.scalar_subquery()
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)
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query = select(
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TrackingSource.code,
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TrackingSource.name,
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TrackingSource.created_at,
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registrations_subq.label("registrations"),
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trials_subq.label("trials"),
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payments_subq.label("payments"),
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).order_by(TrackingSource.created_at.desc())
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result = await session.execute(query)
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rows = result.all()
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return [
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{
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"code": r.code,
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"name": r.name,
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"created_at": r.created_at,
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"registrations": r.registrations or 0,
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"trials": r.trials or 0,
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"payments": r.payments or 0,
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}
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for r in rows
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]
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async def get_tracking_source_stats(session: AsyncSession, code: str) -> dict | None:
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reg_subq = (
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select(func.count(func.distinct(User.tg_id)))
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.where(User.source_code == code)
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.scalar_subquery()
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)
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trial_subq = (
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select(func.count(func.distinct(User.tg_id)))
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.where((User.source_code == code) & (User.trial == 1))
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.scalar_subquery()
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)
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payments_subq = (
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select(func.count(func.distinct(Payment.tg_id)))
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.join(User, Payment.tg_id == User.tg_id)
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.where((User.source_code == code) & (Payment.status == "success"))
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.scalar_subquery()
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)
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amount_subq = (
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select(func.coalesce(func.sum(Payment.amount), 0))
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.join(User, Payment.tg_id == User.tg_id)
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.where((User.source_code == code) & (Payment.status == "success"))
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.scalar_subquery()
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)
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query = select(
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TrackingSource.name,
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TrackingSource.code,
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TrackingSource.created_at,
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reg_subq.label("registrations"),
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trial_subq.label("trials"),
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payments_subq.label("payments"),
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amount_subq.label("total_amount"),
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).where(TrackingSource.code == code)
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result = await session.execute(query)
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row = result.first()
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if not row:
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return None
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return {
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"name": row.name,
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"code": row.code,
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"created_at": row.created_at,
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"registrations": row.registrations or 0,
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"trials": row.trials or 0,
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"payments": row.payments or 0,
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"total_amount": float(row.total_amount or 0),
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}
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