1、修复后台首页数据概览的团队积分消耗排行情况
2、修复后台交易流水数据
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@@ -1811,20 +1811,45 @@ async def get_stats(
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)
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)).scalar() or 0
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# 预扣占用不是实际消费;历史流水 charge_action 为空时仍按真实扣费兼容。
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# 消费类(真实扣费 + 预扣占用):charge_action 为空时仍按真实扣费兼容;hold 为预扣占用。
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credit_charge_action_filter = or_(
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CreditRecord.charge_action.is_(None),
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CreditRecord.charge_action == "charge",
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CreditRecord.charge_action == "hold",
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)
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# 「仅真实扣费」filter 用于图表、模型使用次数等需要按实际产出(非预扣)统计的场景。
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real_credit_charge_filter = or_(
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CreditRecord.charge_action.is_(None),
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CreditRecord.charge_action == "charge",
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)
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credits_consumed = (await db.execute(
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select(func.coalesce(func.sum(func.abs(CreditRecord.amount)), 0)).where(
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CreditRecord.type == "consume",
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real_credit_charge_filter,
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# 核心数据「消耗积分」= 净消耗 = 真实消费 + 预扣占用 - 真实退款 - 预扣释放。
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# 说明:
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# hold(预扣占用):type=consume,charge_action='hold',amount<0
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# hold_release(预扣释放退回):type=refund,charge_action='hold_release',amount>0
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# (账本 L256 强校验:hold_release.type 必须是 'refund',不是 consume)
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# charge(真实扣费):type=consume,charge_action='charge' 或 NULL(历史),amount<0
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# refund(真实退款):type=refund,charge_action='refund' 或 NULL(历史兼容),amount>0
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# 因此 type=refund 天然包含「真实退款 + 预扣释放退回」两类子流水。
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_stats_real_and_hold = case(
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(and_(CreditRecord.type == "consume", credit_charge_action_filter), func.abs(CreditRecord.amount)),
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else_=0,
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)
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_stats_refund_and_release = case(
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(CreditRecord.type == "refund", func.abs(CreditRecord.amount)),
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else_=0,
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)
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_net_row = (await db.execute(
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select(
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func.coalesce(func.sum(_stats_real_and_hold), 0),
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func.coalesce(func.sum(_stats_refund_and_release), 0),
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).where(
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CreditRecord.type.in_(["consume", "refund"]),
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CreditRecord.created_at >= date_start,
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CreditRecord.created_at <= date_end,
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)
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)).scalar() or 0
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)).one()
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credits_consumed = round(max(float(_net_row[0] or 0) - float(_net_row[1] or 0), 0.0), 2)
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alipay_revenue = (await db.execute(
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select(func.coalesce(func.sum(PaymentOrder.amount), 0)).where(
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@@ -1888,14 +1913,19 @@ async def get_stats(
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)
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)).scalar() or 0
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last_period_credits_consumed = (await db.execute(
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select(func.coalesce(func.sum(func.abs(CreditRecord.amount)), 0)).where(
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CreditRecord.type == "consume",
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real_credit_charge_filter,
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last_period_net_row = (await db.execute(
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select(
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func.coalesce(func.sum(_stats_real_and_hold), 0),
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func.coalesce(func.sum(_stats_refund_and_release), 0),
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).where(
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CreditRecord.type.in_(["consume", "refund"]),
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CreditRecord.created_at >= last_period_start,
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CreditRecord.created_at <= last_period_end,
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)
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)).scalar() or 0
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)).one()
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last_period_credits_consumed = round(
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max(float(last_period_net_row[0] or 0) - float(last_period_net_row[1] or 0), 0.0), 2,
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)
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# ── 每日各模块积分消耗(始终返回选中日期往前7天,便于图表展示)
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# 把 timestamptz 按东八区(业务时区)偏移后再转 DATE,
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@@ -1963,22 +1993,25 @@ async def get_stats(
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]
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# ── 各团队积分消耗(有团队 vs 无团队,使用流水中的团队快照)
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# 净消耗 = 实际消费(charge_action IS NULL 或 charge) - 退款(charge_action=refund 不限制)
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# 注意:real_credit_charge_filter 仅应限制 consume 类型(预扣 hold 释放不算真实消费);
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# refund 类型的 charge_action = 'refund',不能套用同一个 filter,
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# 所以把该 filter 下移到 CASE WHEN 内而不是写在 WHERE 中,避免退款被误过滤。
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_consume_filter = and_(
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# 净消耗 = (真实消费 charge + 预扣占用 hold) - (真实退款 refund + 预扣释放 hold_release)
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# 注意:
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# hold(预扣占用):type=consume,charge_action='hold',amount<0 → 加项
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# hold_release(预扣释放):type=refund,charge_action='hold_release',amount>0 → 减项(type=refund 天然包含)
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# charge(真实扣费):type=consume,charge/NULL → 加项
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# refund(真实退款):type=refund,refund/NULL → 减项
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_charge_hold_filter = and_(
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CreditRecord.type == "consume",
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real_credit_charge_filter,
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credit_charge_action_filter, # charge / hold / NULL(历史 charge)
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)
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_consume_expr = case((_consume_filter, func.abs(CreditRecord.amount)), else_=0)
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_refund_expr = case((CreditRecord.type == "refund", func.abs(CreditRecord.amount)), else_=0)
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_charge_hold_expr = case((_charge_hold_filter, func.abs(CreditRecord.amount)), else_=0)
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# type=refund = 真实退款 + 预扣释放退回(账本强制 hold_release.type=refund)
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_refund_release_expr = case((CreditRecord.type == "refund", func.abs(CreditRecord.amount)), else_=0)
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team_credit_rows = (await db.execute(
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select(
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func.coalesce(CreditRecord.team_name_snapshot, '未分配团队').label('team_name'),
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CreditRecord.team_id_snapshot.label('team_id'),
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func.coalesce(func.sum(_consume_expr), 0).label("total_consume"),
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func.coalesce(func.sum(_refund_expr), 0).label("total_refund"),
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func.coalesce(func.sum(_charge_hold_expr), 0).label("total_charge_hold"),
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func.coalesce(func.sum(_refund_release_expr), 0).label("total_refund_release"),
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)
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.where(
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CreditRecord.type.in_(["consume", "refund"]),
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@@ -1986,14 +2019,14 @@ async def get_stats(
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CreditRecord.created_at <= date_end,
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)
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.group_by(CreditRecord.team_id_snapshot, CreditRecord.team_name_snapshot)
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# 按"净消耗 = 总消费 - 总退款"倒序排序(排行榜)
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.order_by((func.coalesce(func.sum(_consume_expr), 0) - func.coalesce(func.sum(_refund_expr), 0)).desc())
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# 按"净消耗 = 真实+预扣 - 退款+释放"倒序排序(排行榜)
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.order_by((func.coalesce(func.sum(_charge_hold_expr), 0) - func.coalesce(func.sum(_refund_release_expr), 0)).desc())
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)).all()
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credits_by_team = [
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TeamCreditOut(
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team_name=row.team_name,
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team_id=row.team_id,
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credits=round(float(row.total_consume or 0) - float(row.total_refund or 0), 2),
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credits=round(max(float(row.total_charge_hold or 0) - float(row.total_refund_release or 0), 0.0), 2),
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)
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for row in team_credit_rows
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]
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