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scripts/ops/member_consumption_report.py
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222
scripts/ops/member_consumption_report.py
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"""
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会员消费报表：2025-11-01 至今，按手机号归总，消费金额从高到低
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口径：items_sum = table_charge_money + goods_money + assistant_pd_money + assistant_cx_money + electricity_money
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台费拆分：通过 dws.cfg_area_category 配置，category_code='KTV' 为 K包，其余为一般包厢台费
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会员信息：通过 member_id LEFT JOIN dim_member 获取 mobile/nickname
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（12月起 settlement_head.member_phone 为空，必须走 dim_member）
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输出：CSV → export/SYSTEM/REPORTS/member_reports/
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"""
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import os
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import csv
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from dotenv import load_dotenv
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load_dotenv()
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PG_DSN = os.environ.get("TEST_DB_DSN") or os.environ.get("PG_DSN")
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if not PG_DSN:
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raise RuntimeError("TEST_DB_DSN / PG_DSN 未配置")
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SYSTEM_ANALYZE_ROOT = os.environ.get("SYSTEM_ANALYZE_ROOT")
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if not SYSTEM_ANALYZE_ROOT:
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raise RuntimeError("SYSTEM_ANALYZE_ROOT 未配置")
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import psycopg2
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SQL = r"""
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WITH date_range AS (
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SELECT '2025-11-01'::date AS start_date, CURRENT_DATE AS end_date
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),
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area_mapping AS (
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SELECT source_area_name, source_table_name, category_code
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FROM dws.cfg_area_category
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WHERE is_active = true AND match_type = 'EXACT'
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),
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-- 先筛出有会员的结算单（member_id 有值，或 member_phone 有值）
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settle_ids AS (
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SELECT sh.order_settle_id
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FROM dwd.dwd_settlement_head sh
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CROSS JOIN date_range dr
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WHERE sh.settle_type IN (1, 3)
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AND sh.pay_time >= dr.start_date
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AND sh.pay_time < dr.end_date + 1
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AND (
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(sh.member_id IS NOT NULL AND sh.member_id != 0)
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OR (sh.member_phone IS NOT NULL AND sh.member_phone != '')
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)
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),
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table_fee_split AS (
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SELECT
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tfl.order_settle_id,
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SUM(CASE WHEN COALESCE(am.category_code, 'OTHER') = 'KTV'
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THEN tfl.ledger_amount ELSE 0 END) AS k_room_fee,
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SUM(CASE WHEN COALESCE(am.category_code, 'OTHER') != 'KTV'
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THEN tfl.ledger_amount ELSE 0 END) AS normal_table_fee
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FROM dwd.dwd_table_fee_log tfl
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INNER JOIN settle_ids si ON tfl.order_settle_id = si.order_settle_id
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LEFT JOIN dwd.dim_table dt
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ON dt.table_id = tfl.site_table_id AND dt.scd2_is_current = 1
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LEFT JOIN area_mapping am
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ON tfl.site_table_area_name = am.source_area_name
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AND dt.table_name = am.source_table_name
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WHERE tfl.is_delete = 0
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GROUP BY tfl.order_settle_id
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),
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-- 关联 dim_member 获取手机号，优先 dim_member.mobile，回退 settlement_head.member_phone
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consumption AS (
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SELECT
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sh.order_settle_id,
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COALESCE(NULLIF(dm.mobile, ''), NULLIF(sh.member_phone, '')) AS phone,
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sh.pay_time,
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COALESCE(sh.table_charge_money, 0)
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+ COALESCE(sh.goods_money, 0)
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+ COALESCE(sh.assistant_pd_money, 0)
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+ COALESCE(sh.assistant_cx_money, 0)
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+ COALESCE(sh.electricity_money, 0) AS items_sum,
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COALESCE(sh.goods_money, 0) AS goods_money,
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COALESCE(sh.assistant_pd_money, 0) + COALESCE(sh.assistant_cx_money, 0) AS assistant_money
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FROM dwd.dwd_settlement_head sh
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CROSS JOIN date_range dr
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LEFT JOIN dwd.dim_member dm
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ON dm.member_id = sh.member_id AND dm.scd2_is_current = 1
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WHERE sh.settle_type IN (1, 3)
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AND sh.pay_time >= dr.start_date
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AND sh.pay_time < dr.end_date + 1
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AND (
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(sh.member_id IS NOT NULL AND sh.member_id != 0)
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OR (sh.member_phone IS NOT NULL AND sh.member_phone != '')
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)
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),
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-- 过滤掉最终仍无手机号的记录
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consumption_with_phone AS (
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SELECT * FROM consumption WHERE phone IS NOT NULL
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),
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monthly AS (
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SELECT
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c.phone,
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EXTRACT(YEAR FROM c.pay_time)::int AS yr,
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EXTRACT(MONTH FROM c.pay_time)::int AS mo,
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SUM(c.items_sum) AS month_total,
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SUM(c.goods_money) AS month_goods,
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SUM(c.assistant_money) AS month_assistant,
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SUM(COALESCE(tf.k_room_fee, 0)) AS month_k_room,
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SUM(COALESCE(tf.normal_table_fee, 0)) AS month_normal_table
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FROM consumption_with_phone c
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LEFT JOIN table_fee_split tf ON c.order_settle_id = tf.order_settle_id
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GROUP BY c.phone, yr, mo
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),
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member_agg AS (
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SELECT
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phone,
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SUM(month_total) AS total_consumption,
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SUM(CASE WHEN yr = 2025 AND mo = 11 THEN month_total ELSE 0 END) AS m11,
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SUM(CASE WHEN yr = 2025 AND mo = 12 THEN month_total ELSE 0 END) AS m12,
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SUM(CASE WHEN yr = 2026 AND mo = 1 THEN month_total ELSE 0 END) AS m01,
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SUM(CASE WHEN yr = 2026 AND mo = 2 THEN month_total ELSE 0 END) AS m02,
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SUM(CASE WHEN yr = 2026 AND mo = 3 THEN month_total ELSE 0 END) AS m03,
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SUM(month_k_room) AS k_room_total,
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SUM(month_normal_table) AS normal_table_total,
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SUM(month_assistant) AS assistant_total,
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SUM(month_goods) AS goods_total
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FROM monthly
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GROUP BY phone
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),
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-- 昵称：合并 dim_member.nickname 和 settlement_head.member_name
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member_names AS (
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SELECT
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COALESCE(NULLIF(dm.mobile, ''), NULLIF(sh.member_phone, '')) AS phone,
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STRING_AGG(
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DISTINCT COALESCE(NULLIF(dm.nickname, ''), NULLIF(sh.member_name, '')),
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' | '
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ORDER BY COALESCE(NULLIF(dm.nickname, ''), NULLIF(sh.member_name, ''))
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) FILTER (
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WHERE COALESCE(NULLIF(dm.nickname, ''), NULLIF(sh.member_name, '')) IS NOT NULL
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) AS names
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FROM dwd.dwd_settlement_head sh
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CROSS JOIN date_range dr
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LEFT JOIN dwd.dim_member dm
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ON dm.member_id = sh.member_id AND dm.scd2_is_current = 1
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WHERE sh.settle_type IN (1, 3)
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AND sh.pay_time >= dr.start_date
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AND sh.pay_time < dr.end_date + 1
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AND (
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(sh.member_id IS NOT NULL AND sh.member_id != 0)
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OR (sh.member_phone IS NOT NULL AND sh.member_phone != '')
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)
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AND COALESCE(NULLIF(dm.mobile, ''), NULLIF(sh.member_phone, '')) IS NOT NULL
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GROUP BY phone
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)
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SELECT
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COALESCE(mn.names, '') AS "会员昵称",
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ma.phone AS "手机号",
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ROUND(ma.total_consumption, 2) AS "11月至今共消费",
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ROUND(ma.m11, 2) AS "11月消费共计",
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ROUND(ma.m12, 2) AS "12月消费共计",
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ROUND(ma.m01, 2) AS "1月消费共计",
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ROUND(ma.m02, 2) AS "2月消费共计",
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ROUND(ma.m03, 2) AS "3月消费共计",
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ROUND(ma.k_room_total, 2) AS "K包",
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CASE WHEN ma.total_consumption > 0
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THEN ROUND(ma.k_room_total / ma.total_consumption * 100, 1)
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ELSE 0 END AS "K包占比%",
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ROUND(ma.normal_table_total, 2) AS "一般包厢台费",
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CASE WHEN ma.total_consumption > 0
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THEN ROUND(ma.normal_table_total / ma.total_consumption * 100, 1)
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ELSE 0 END AS "一般包厢台费占比%",
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ROUND(ma.assistant_total, 2) AS "助教费",
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CASE WHEN ma.total_consumption > 0
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THEN ROUND(ma.assistant_total / ma.total_consumption * 100, 1)
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ELSE 0 END AS "助教费占比%",
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ROUND(ma.goods_total, 2) AS "商品费",
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CASE WHEN ma.total_consumption > 0
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THEN ROUND(ma.goods_total / ma.total_consumption * 100, 1)
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ELSE 0 END AS "商品费占比%"
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FROM member_agg ma
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LEFT JOIN member_names mn ON ma.phone = mn.phone
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ORDER BY ma.total_consumption DESC
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"""
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def run_report():
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with psycopg2.connect(PG_DSN, connect_timeout=15, options="-c statement_timeout=300000") as conn:
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with conn.cursor() as cur:
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cur.execute(SQL)
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columns = [desc[0] for desc in cur.description]
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rows = cur.fetchall()
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report_dir = os.path.join(os.path.dirname(SYSTEM_ANALYZE_ROOT), "member_reports")
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os.makedirs(report_dir, exist_ok=True)
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csv_path = os.path.join(report_dir, "member_consumption_202511_to_now.csv")
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with open(csv_path, "w", newline="", encoding="utf-8-sig") as f:
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writer = csv.writer(f)
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writer.writerow(columns)
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writer.writerows(rows)
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print(f"✅ 报表已生成: {csv_path}")
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print(f" 共 {len(rows)} 位会员")
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print(f"\n{'='*200}")
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header = " | ".join(f"{c:>14}" if i > 1 else f"{c:<20}" for i, c in enumerate(columns))
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print(header)
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print(f"{'='*200}")
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for row in rows[:20]:
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line = " | ".join(
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f"{str(v):<20}" if i <= 1 else f"{str(v):>14}"
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for i, v in enumerate(row)
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)
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print(line)
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if len(rows) > 20:
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print(f"... 还有 {len(rows) - 20} 行（见 CSV 文件）")
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if __name__ == "__main__":
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run_report()
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