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etl_billiards/docs/table_2025-12-19/客户_Top100_2025年10-12月_分表.md

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+# 2025年10-12月 客户消费能力Top100（分表）
+## 思考过程
+以台费订单为基准汇总三类明细，满足应付金额口径，并输出Top100客户的消费/充值/助教偏好。按你的要求，先生成评价为空的版本，再在脚本末尾回填评价。
+
+## 查询说明
+与总表同口径；分表仅计算12月喜爱助教Top5，并展示10-12月各月消费/充值。
+
+## SQL
+
+### Top100（按消费总额）
+```sql
+with base_orders as (
+  select
+    tfl.order_settle_id,
+    max(tfl.member_id) as member_id,
+    min(tfl.start_use_time) as order_start_time,
+    max(tfl.ledger_end_time) as order_end_time,
+    sum(tfl.ledger_amount) as table_amount,
+    sum(tfl.real_table_use_seconds) as table_use_seconds
+  from billiards_dwd.dwd_table_fee_log tfl
+  where tfl.site_id = %(site_id)s
+    and coalesce(tfl.is_delete,0) = 0
+    and tfl.start_use_time >= '2025-10-01 00:00:00+08'::timestamptz
+    and tfl.start_use_time <  '2026-01-01 00:00:00+08'::timestamptz
+  group by tfl.order_settle_id
+),
+assistant_info as (
+  select
+    asl.order_settle_id,
+    sum(asl.ledger_amount) as assistant_amount,
+    min(asl.start_use_time) as assistant_start_time,
+    max(asl.last_use_time) as assistant_end_time
+  from billiards_dwd.dwd_assistant_service_log asl
+  join base_orders bo on bo.order_settle_id = asl.order_settle_id
+  where asl.site_id = %(site_id)s
+    and coalesce(asl.is_delete,0) = 0
+  group by asl.order_settle_id
+),
+goods_amount as (
+  select
+    g.order_settle_id,
+    sum(g.ledger_amount) as goods_amount
+  from billiards_dwd.dwd_store_goods_sale g
+  join base_orders bo on bo.order_settle_id = g.order_settle_id
+  where g.site_id = %(site_id)s
+    and coalesce(g.is_delete,0) = 0
+  group by g.order_settle_id
+),
+orders as (
+  select
+    bo.order_settle_id,
+    bo.member_id,
+    least(bo.order_start_time, coalesce(a.assistant_start_time, bo.order_start_time)) as order_start_time,
+    greatest(bo.order_end_time, coalesce(a.assistant_end_time, bo.order_end_time)) as order_end_time,
+    bo.table_use_seconds,
+    coalesce(bo.table_amount,0) + coalesce(a.assistant_amount,0) + coalesce(g.goods_amount,0) as order_amount
+  from base_orders bo
+  left join assistant_info a on a.order_settle_id = bo.order_settle_id
+  left join goods_amount g on g.order_settle_id = bo.order_settle_id
+)
+
+select
+  o.member_id,
+  sum(o.order_amount) as consume_total,
+  count(*) as order_cnt
+from orders o
+where o.member_id is not null and o.member_id <> 0
+group by o.member_id
+order by consume_total desc
+limit 100;
+```
+
+### 按月消费汇总
+```sql
+with base_orders as (
+  select
+    tfl.order_settle_id,
+    max(tfl.member_id) as member_id,
+    min(tfl.start_use_time) as order_start_time,
+    max(tfl.ledger_end_time) as order_end_time,
+    sum(tfl.ledger_amount) as table_amount,
+    sum(tfl.real_table_use_seconds) as table_use_seconds
+  from billiards_dwd.dwd_table_fee_log tfl
+  where tfl.site_id = %(site_id)s
+    and coalesce(tfl.is_delete,0) = 0
+    and tfl.start_use_time >= '2025-10-01 00:00:00+08'::timestamptz
+    and tfl.start_use_time <  '2026-01-01 00:00:00+08'::timestamptz
+  group by tfl.order_settle_id
+),
+assistant_info as (
+  select
+    asl.order_settle_id,
+    sum(asl.ledger_amount) as assistant_amount,
+    min(asl.start_use_time) as assistant_start_time,
+    max(asl.last_use_time) as assistant_end_time
+  from billiards_dwd.dwd_assistant_service_log asl
+  join base_orders bo on bo.order_settle_id = asl.order_settle_id
+  where asl.site_id = %(site_id)s
+    and coalesce(asl.is_delete,0) = 0
+  group by asl.order_settle_id
+),
+goods_amount as (
+  select
+    g.order_settle_id,
+    sum(g.ledger_amount) as goods_amount
+  from billiards_dwd.dwd_store_goods_sale g
+  join base_orders bo on bo.order_settle_id = g.order_settle_id
+  where g.site_id = %(site_id)s
+    and coalesce(g.is_delete,0) = 0
+  group by g.order_settle_id
+),
+orders as (
+  select
+    bo.order_settle_id,
+    bo.member_id,
+    least(bo.order_start_time, coalesce(a.assistant_start_time, bo.order_start_time)) as order_start_time,
+    greatest(bo.order_end_time, coalesce(a.assistant_end_time, bo.order_end_time)) as order_end_time,
+    bo.table_use_seconds,
+    coalesce(bo.table_amount,0) + coalesce(a.assistant_amount,0) + coalesce(g.goods_amount,0) as order_amount
+  from base_orders bo
+  left join assistant_info a on a.order_settle_id = bo.order_settle_id
+  left join goods_amount g on g.order_settle_id = bo.order_settle_id
+)
+
+, x as (
+  select
+    o.member_id,
+    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,
+    o.order_amount
+  from orders o
+  where o.member_id is not null and o.member_id <> 0
+)
+select
+  member_id,
+  month_key,
+  sum(order_amount) as consume_sum
+from x
+where month_key is not null
+group by member_id, month_key;
+```
+
+### 按月充值汇总
+```sql
+with pay as (
+  select
+    p.pay_time,
+    r.member_id,
+    p.pay_amount
+  from billiards_dwd.dwd_payment p
+  join billiards_dwd.dwd_recharge_order r on r.recharge_order_id = p.relate_id
+  where p.site_id = %(site_id)s
+    and p.relate_type = 5
+    and p.pay_status = 2
+    and p.pay_amount > 0
+    and p.pay_time >= %(window_start)s::timestamptz
+    and p.pay_time <  %(window_end)s::timestamptz
+)
+, x as (
+  select
+    member_id,
+    case when pay_time >= '2025-10-01 00:00:00+08'::timestamptz and pay_time < '2025-11-01 00:00:00+08'::timestamptz then '2025-10' when pay_time >= '2025-11-01 00:00:00+08'::timestamptz and pay_time < '2025-12-01 00:00:00+08'::timestamptz then '2025-11' when pay_time >= '2025-12-01 00:00:00+08'::timestamptz and pay_time < '2026-01-01 00:00:00+08'::timestamptz then '2025-12' else null end as month_key,
+    pay_amount
+  from pay
+)
+select
+  member_id,
+  month_key,
+  sum(pay_amount) as recharge_sum
+from x
+where month_key is not null
+group by member_id, month_key;
+```
+
+### 喜爱助教Top5（仅12月）
+```sql
+with x as (
+  select
+    asl.tenant_member_id as member_id,
+    asl.nickname as assistant_nickname,
+    sum(case when asl.order_assistant_type=1 then asl.income_seconds else asl.income_seconds*1.5 end) / 3600.0 as weighted_hours
+  from billiards_dwd.dwd_assistant_service_log asl
+  where asl.site_id = %(site_id)s
+    and coalesce(asl.is_delete,0)=0
+    and asl.tenant_member_id is not null and asl.tenant_member_id <> 0
+    and 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
+  group by asl.tenant_member_id, asl.nickname
+),
+ranked as (
+  select *, row_number() over(partition by member_id order by weighted_hours desc) as rn
+  from x
+)
+select
+  member_id,
+  string_agg(assistant_nickname || '(' || to_char(round(weighted_hours::numeric, 1), 'FM999999990.0') || 'h)', '、' order by weighted_hours desc) as fav5
+from ranked
+where rn <= 5
+group by member_id;
+```