Solo_bot/database/tracking_sources.py

from sqlalchemy import func, insert, not_, select, and_
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.ext.asyncio import AsyncSession

from database.models import Payment, TrackingSource, User
from logger import logger


EXCLUDED_PAYMENT_MARKERS = ["coupon", "referral", "cashback"]

async def create_tracking_source(session: AsyncSession, name: str, code: str, type_: str, created_by: int):
    try:
        stmt = insert(TrackingSource).values(
            name=name,
            code=code,
            type=type_,
            created_by=created_by,
        )
        await session.execute(stmt)
        await session.commit()
        logger.info(f"🆕 Источник трафика {code} создан")
    except SQLAlchemyError as e:
        logger.error(f"❌ Ошибка при создании источника {code}: {e}")
        await session.rollback()


async def get_all_tracking_sources(session: AsyncSession) -> list[dict]:
    registrations_subq = (
        select(func.count(func.distinct(User.tg_id)))
        .where(User.source_code == TrackingSource.code)
        .correlate(TrackingSource)
        .scalar_subquery()
    )

    trials_subq = (
        select(func.count(func.distinct(User.tg_id)))
        .where((User.source_code == TrackingSource.code) & (User.trial == 1))
        .correlate(TrackingSource)
        .scalar_subquery()
    )

    payments_subq = (
        select(func.count(func.distinct(Payment.tg_id)))
        .join(User, Payment.tg_id == User.tg_id)
        .where((User.source_code == TrackingSource.code) & (Payment.status == "success"))
        .correlate(TrackingSource)
        .scalar_subquery()
    )

    query = select(
        TrackingSource.code,
        TrackingSource.name,
        TrackingSource.created_at,
        registrations_subq.label("registrations"),
        trials_subq.label("trials"),
        payments_subq.label("payments"),
    ).order_by(TrackingSource.created_at.desc())

    result = await session.execute(query)
    rows = result.all()
    return [
        {
            "code": r.code,
            "name": r.name,
            "created_at": r.created_at,
            "registrations": r.registrations or 0,
            "trials": r.trials or 0,
            "payments": r.payments or 0,
        }
        for r in rows
    ]


async def get_tracking_source_stats(session: AsyncSession, code: str) -> dict | None:
    def _month_key(dt) -> str:
        return dt.strftime("%Y-%m")

    src_row = await session.execute(
        select(TrackingSource.name, TrackingSource.code, TrackingSource.created_at)
        .where(TrackingSource.code == code)
    )
    src = src_row.first()
    if not src:
        return None

    src_name, src_code, created_at = src

    reg_subq = (
        select(func.count(func.distinct(User.tg_id)))
        .where((User.source_code == code) & (User.created_at >= created_at))
        .scalar_subquery()
    )

    trial_subq = (
        select(func.count(func.distinct(User.tg_id)))
        .where((User.source_code == code) & (User.trial == 1) & (User.created_at >= created_at))
        .scalar_subquery()
    )

    payments_subq = (
        select(func.count(func.distinct(Payment.tg_id)))
        .join(User, Payment.tg_id == User.tg_id)
        .where(
            (User.source_code == code)
            & (Payment.status == "success")
            & not_(Payment.payment_system.in_(EXCLUDED_PAYMENT_MARKERS))
            & (Payment.created_at >= created_at)
        )
        .scalar_subquery()
    )

    amount_subq = (
        select(func.coalesce(func.sum(Payment.amount), 0.0))
        .join(User, Payment.tg_id == User.tg_id)
        .where(
            (User.source_code == code)
            & (Payment.status == "success")
            & not_(Payment.payment_system.in_(EXCLUDED_PAYMENT_MARKERS))
            & (Payment.created_at >= created_at)
        )
        .scalar_subquery()
    )

    header_q = select(
        TrackingSource.name,
        TrackingSource.code,
        TrackingSource.created_at,
        reg_subq.label("registrations"),
        trial_subq.label("trials"),
        payments_subq.label("payments"),
        amount_subq.label("total_amount"),
    ).where(TrackingSource.code == code)

    header_res = await session.execute(header_q)
    row = header_res.first()
    if not row:
        return None

    payments_base = (
        select(
            Payment.tg_id.label("tg_id"),
            Payment.amount.label("amount"),
            Payment.created_at.label("dt"),
        )
        .join(User, Payment.tg_id == User.tg_id)
        .where(
            (User.source_code == code)
            & (Payment.status == "success")
            & not_(Payment.payment_system.in_(EXCLUDED_PAYMENT_MARKERS))
            & (Payment.created_at >= created_at)
        )
        .subquery()
    )

    first_pay = (
        select(
            payments_base.c.tg_id.label("tg_id"),
            func.min(payments_base.c.dt).label("first_dt"),
        )
        .group_by(payments_base.c.tg_id)
        .subquery()
    )

    month_expr_new = func.date_trunc("month", payments_base.c.dt).label("month")
    new_rows = await session.execute(
        select(
            month_expr_new,
            func.count().label("cnt"),
            func.coalesce(func.sum(payments_base.c.amount), 0.0).label("amt"),
        )
        .join(
            first_pay,
            and_(
                payments_base.c.tg_id == first_pay.c.tg_id,
                payments_base.c.dt == first_pay.c.first_dt,
            ),
        )
        .group_by(month_expr_new)
        .order_by(month_expr_new)
    )
    new_by_month = {r.month: (int(r.cnt), float(r.amt)) for r in new_rows.all()}

    month_expr_rep = func.date_trunc("month", payments_base.c.dt).label("month")
    repeat_rows = await session.execute(
        select(
            month_expr_rep,
            func.count().label("cnt"),
            func.coalesce(func.sum(payments_base.c.amount), 0.0).label("amt"),
        )
        .join(first_pay, payments_base.c.tg_id == first_pay.c.tg_id)
        .where(payments_base.c.dt > first_pay.c.first_dt)
        .group_by(month_expr_rep)
        .order_by(month_expr_rep)
    )
    repeat_by_month = {r.month: (int(r.cnt), float(r.amt)) for r in repeat_rows.all()}

    month_expr_regs = func.date_trunc("month", User.created_at).label("month")
    regs_rows = await session.execute(
        select(
            month_expr_regs,
            func.count(func.distinct(User.tg_id)).label("cnt"),
        )
        .where((User.source_code == code) & (User.created_at >= created_at))
        .group_by(month_expr_regs)
        .order_by(month_expr_regs)
    )
    regs_by_month = {r.month: int(r.cnt) for r in regs_rows.all()}

    month_expr_trials = func.date_trunc("month", User.created_at).label("month")
    trials_rows = await session.execute(
        select(
            month_expr_trials,
            func.count(func.distinct(User.tg_id)).label("cnt"),
        )
        .where(
            (User.source_code == code)
            & (User.trial == 1)
            & (User.created_at >= created_at)
        )
        .group_by(month_expr_trials)
        .order_by(month_expr_trials)
    )
    trials_by_month = {r.month: int(r.cnt) for r in trials_rows.all()}

    months = set()
    months.update(regs_by_month.keys())
    months.update(trials_by_month.keys())
    months.update(new_by_month.keys())
    months.update(repeat_by_month.keys())

    monthly = []
    for m in sorted(months):
        regs = regs_by_month.get(m, 0)
        trls = trials_by_month.get(m, 0)
        new_cnt, new_amt = new_by_month.get(m, (0, 0.0))
        rep_cnt, rep_amt = repeat_by_month.get(m, (0, 0.0))
        monthly.append({
            "month": _month_key(m),
            "registrations": regs,
            "trials": trls,
            "new_purchases_count": new_cnt,
            "new_purchases_amount": new_amt,
            "repeat_purchases_count": rep_cnt,
            "repeat_purchases_amount": rep_amt,
        })

    return {
        "name": row.name,
        "code": row.code,
        "created_at": row.created_at,
        "registrations": row.registrations or 0,
        "trials": row.trials or 0,
        "payments": row.payments or 0,
        "total_amount": float(row.total_amount or 0),
        "monthly": monthly,
    }