197 lines
7.5 KiB
Markdown
197 lines
7.5 KiB
Markdown
# 助教详情：阿清（2025年10-12月）
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## 思考过程
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按模板拆分5部分输出；月度排名采用dense_rank；均值/中位数在当月该指标>0助教集合上计算。
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## 查询说明
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本表包含5个部分：基础课业绩、附加课业绩、客户消费业绩、客户充值业绩、头部客户情况。均值/中位数差值对比集合为当月该指标>0的助教。充值/客户流水多助教与多订单命中均按全额复制计入，故汇总可能大于门店总额。
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评价：基础139.9h，附加0.0h；客户流水¥53805.04，充值归因¥0.00；头部客户(12月)Top3：陈腾鑫、葛先生、梅。
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## SQL
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### 服务时长（助教-客户-月份）
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```sql
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with raw as (
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select
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asl.nickname as assistant,
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asl.tenant_member_id as member_id,
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case when asl.start_use_time >= '2025-10-01 00:00:00+08'::timestamptz and asl.start_use_time < '2025-11-01 00:00:00+08'::timestamptz then '2025-10' when asl.start_use_time >= '2025-11-01 00:00:00+08'::timestamptz and asl.start_use_time < '2025-12-01 00:00:00+08'::timestamptz then '2025-11' when asl.start_use_time >= '2025-12-01 00:00:00+08'::timestamptz and asl.start_use_time < '2026-01-01 00:00:00+08'::timestamptz then '2025-12' else null end as month_key,
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asl.order_assistant_type,
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asl.income_seconds
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from billiards_dwd.dwd_assistant_service_log asl
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where asl.site_id=%(site_id)s and coalesce(asl.is_delete,0)=0
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and asl.start_use_time >= %(window_start)s::timestamptz
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and asl.start_use_time < %(window_end)s::timestamptz
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and asl.tenant_member_id is not null and asl.tenant_member_id<>0
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)
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select
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assistant,
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member_id,
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month_key,
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sum(case when order_assistant_type=1 then income_seconds else 0 end)/3600.0 as base_hours,
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sum(case when order_assistant_type=2 then income_seconds else 0 end)/3600.0 as extra_hours
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from raw
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where month_key is not null
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group by assistant, member_id, month_key;
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```
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### 客户流水（助教-客户-月份）
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```sql
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with base_orders as (
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select
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tfl.order_settle_id,
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max(tfl.member_id) as member_id,
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min(tfl.start_use_time) as order_start_time,
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max(tfl.ledger_end_time) as order_end_time,
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sum(tfl.ledger_amount) as table_amount
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from billiards_dwd.dwd_table_fee_log tfl
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where tfl.site_id = %(site_id)s
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and coalesce(tfl.is_delete,0) = 0
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and tfl.start_use_time >= '2025-10-01 00:00:00+08'::timestamptz
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and tfl.start_use_time < '2026-01-01 00:00:00+08'::timestamptz
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group by tfl.order_settle_id
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),
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assistant_amount as (
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select
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asl.order_settle_id,
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sum(asl.ledger_amount) as assistant_amount
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from billiards_dwd.dwd_assistant_service_log asl
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join base_orders bo on bo.order_settle_id = asl.order_settle_id
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where asl.site_id = %(site_id)s
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and coalesce(asl.is_delete,0) = 0
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group by asl.order_settle_id
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),
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goods_amount as (
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select
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g.order_settle_id,
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sum(g.ledger_amount) as goods_amount
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from billiards_dwd.dwd_store_goods_sale g
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join base_orders bo on bo.order_settle_id = g.order_settle_id
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where g.site_id = %(site_id)s
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and coalesce(g.is_delete,0) = 0
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group by g.order_settle_id
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),
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orders as (
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select
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bo.order_settle_id,
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bo.member_id,
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bo.order_start_time,
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bo.order_end_time,
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coalesce(bo.table_amount,0) + coalesce(a.assistant_amount,0) + coalesce(g.goods_amount,0) as order_amount
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from base_orders bo
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left join assistant_amount a on a.order_settle_id = bo.order_settle_id
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left join goods_amount g on g.order_settle_id = bo.order_settle_id
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)
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, assistant_orders as (
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select distinct order_settle_id, nickname as assistant
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from billiards_dwd.dwd_assistant_service_log
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where site_id=%(site_id)s and coalesce(is_delete,0)=0
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and start_use_time >= %(window_start)s::timestamptz
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and start_use_time < %(window_end)s::timestamptz
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),
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raw as (
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select
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ao.assistant,
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o.member_id,
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case when o.order_start_time >= '2025-10-01 00:00:00+08'::timestamptz and o.order_start_time < '2025-11-01 00:00:00+08'::timestamptz then '2025-10' when o.order_start_time >= '2025-11-01 00:00:00+08'::timestamptz and o.order_start_time < '2025-12-01 00:00:00+08'::timestamptz then '2025-11' when o.order_start_time >= '2025-12-01 00:00:00+08'::timestamptz and o.order_start_time < '2026-01-01 00:00:00+08'::timestamptz then '2025-12' else null end as month_key,
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o.order_amount
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from orders o
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join assistant_orders ao on ao.order_settle_id=o.order_settle_id
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where o.member_id is not null and o.member_id<>0
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)
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select
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assistant,
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member_id,
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month_key,
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sum(order_amount) as revenue_amount
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from raw
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where month_key is not null
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group by assistant, member_id, month_key;
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```
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### 充值归因（助教-客户-月份）
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```sql
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with base_orders as (
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select
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tfl.order_settle_id,
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max(tfl.member_id) as member_id,
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min(tfl.start_use_time) as table_start_time,
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max(tfl.ledger_end_time) as table_end_time
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from billiards_dwd.dwd_table_fee_log tfl
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where tfl.site_id=%(site_id)s and coalesce(tfl.is_delete,0)=0
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and tfl.start_use_time >= %(window_start)s::timestamptz
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and tfl.start_use_time < %(window_end)s::timestamptz
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group by tfl.order_settle_id
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),
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assistant_time as (
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select
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asl.order_settle_id,
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min(asl.start_use_time) as assistant_start_time,
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max(asl.last_use_time) as assistant_end_time
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from billiards_dwd.dwd_assistant_service_log asl
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join base_orders bo on bo.order_settle_id=asl.order_settle_id
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where asl.site_id=%(site_id)s and coalesce(asl.is_delete,0)=0
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group by asl.order_settle_id
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),
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order_windows as (
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select
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bo.order_settle_id,
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bo.member_id,
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least(bo.table_start_time, coalesce(at.assistant_start_time, bo.table_start_time)) as win_start,
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greatest(bo.table_end_time, coalesce(at.assistant_end_time, bo.table_end_time)) as win_end
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from base_orders bo
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left join assistant_time at on at.order_settle_id=bo.order_settle_id
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where bo.member_id is not null and bo.member_id<>0
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),
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assistant_orders as (
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select distinct order_settle_id, nickname as assistant
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from billiards_dwd.dwd_assistant_service_log
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where site_id=%(site_id)s and coalesce(is_delete,0)=0
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and start_use_time >= %(window_start)s::timestamptz
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and start_use_time < %(window_end)s::timestamptz
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),
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recharge_pay as (
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select
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p.pay_time,
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r.member_id,
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p.pay_amount
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from billiards_dwd.dwd_payment p
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join billiards_dwd.dwd_recharge_order r on r.recharge_order_id=p.relate_id
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where p.site_id=%(site_id)s
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and p.relate_type=5
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and p.pay_status=2
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and p.pay_amount>0
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and p.pay_time >= %(window_start)s::timestamptz
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and p.pay_time < %(window_end)s::timestamptz
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),
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matched as (
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select
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rp.pay_time,
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ow.order_settle_id,
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ow.member_id,
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rp.pay_amount
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from recharge_pay rp
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join order_windows ow
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on ow.member_id=rp.member_id
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and rp.pay_time >= ow.win_start - interval '30 minutes'
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and rp.pay_time <= ow.win_end + interval '30 minutes'
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),
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raw as (
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select
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ao.assistant,
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m.member_id,
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case when m.pay_time >= '2025-10-01 00:00:00+08'::timestamptz and m.pay_time < '2025-11-01 00:00:00+08'::timestamptz then '2025-10' when m.pay_time >= '2025-11-01 00:00:00+08'::timestamptz and m.pay_time < '2025-12-01 00:00:00+08'::timestamptz then '2025-11' when m.pay_time >= '2025-12-01 00:00:00+08'::timestamptz and m.pay_time < '2026-01-01 00:00:00+08'::timestamptz then '2025-12' else null end as month_key,
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m.pay_amount
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from matched m
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join assistant_orders ao on ao.order_settle_id=m.order_settle_id
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)
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select
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assistant,
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member_id,
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month_key,
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sum(pay_amount) as recharge_amount
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from raw
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where month_key is not null
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group by assistant, member_id, month_key;
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```
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