微信小程序页面迁移校验之前 P5任务处理之前

scripts/ops/_daily_revenue_0305.py

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+"""统计 2026-03-05 营业日经营数据"""
+import os, sys
+from pathlib import Path
+from dotenv import load_dotenv
+
+load_dotenv(Path(__file__).resolve().parents[2] / ".env")
+
+dsn = os.environ.get("TEST_DB_DSN")
+if not dsn:
+    dsn = os.environ.get("PG_DSN", "")
+    if "etl_feiqiu" in dsn:
+        dsn = dsn.replace("etl_feiqiu", "test_etl_feiqiu")
+if not dsn:
+    sys.exit("ERROR: TEST_DB_DSN / PG_DSN not set")
+
+import psycopg2
+conn = psycopg2.connect(dsn)
+cur = conn.cursor()
+
+sql = """
+WITH day_label AS (
+  SELECT '3月5日' AS day_name,
+         '2026-03-05 08:00:00+08'::timestamptz AS day_start,
+         '2026-03-06 08:00:00+08'::timestamptz AS day_end
+),
+cash_online AS (
+  SELECT dl.day_name, dl.day_start,
+         COALESCE(SUM(h.pay_amount), 0) AS v
+  FROM day_label dl
+  LEFT JOIN dwd.dwd_settlement_head h
+    ON h.create_time >= dl.day_start AND h.create_time < dl.day_end
+    AND h.settle_type = 1
+  GROUP BY dl.day_name, dl.day_start
+),
+recharge AS (
+  SELECT dl.day_name, dl.day_start,
+         COALESCE(SUM(ro.pay_amount), 0) AS v
+  FROM day_label dl
+  LEFT JOIN dwd.dwd_recharge_order ro
+    ON ro.create_time >= dl.day_start AND ro.create_time < dl.day_end
+    AND ro.settle_type = 5
+  GROUP BY dl.day_name, dl.day_start
+),
+groupbuy AS (
+  SELECT dl.day_name, dl.day_start,
+         COALESCE(SUM(pcr.sale_price * 0.75), 0) AS v
+  FROM day_label dl
+  LEFT JOIN dwd.dwd_platform_coupon_redemption pcr
+    ON pcr.create_time >= dl.day_start AND pcr.create_time < dl.day_end
+    AND pcr.is_delete = 0
+  GROUP BY dl.day_name, dl.day_start
+),
+member_guest AS (
+  SELECT dl.day_name, dl.day_start,
+         COUNT(*) FILTER (WHERE h.member_id > 0) AS member_v,
+         COUNT(*) FILTER (WHERE h.member_id = 0) AS guest_v
+  FROM day_label dl
+  LEFT JOIN dwd.dwd_settlement_head h
+    ON h.create_time >= dl.day_start AND h.create_time < dl.day_end
+    AND h.settle_type = 1
+  GROUP BY dl.day_name, dl.day_start
+),
+new_member AS (
+  SELECT dl.day_name, dl.day_start,
+         COUNT(DISTINCT m.member_id) AS v
+  FROM day_label dl
+  LEFT JOIN dwd.dim_member m
+    ON m.create_time >= dl.day_start AND m.create_time < dl.day_end
+    AND m.scd2_is_current = 1
+  GROUP BY dl.day_name, dl.day_start
+),
+old_recharge AS (
+  SELECT dl.day_name, dl.day_start,
+         COUNT(DISTINCT ro.member_id) FILTER (WHERE ro.member_id > 0) AS persons,
+         COALESCE(SUM(ro.pay_amount) FILTER (WHERE ro.member_id > 0), 0) AS amount
+  FROM day_label dl
+  LEFT JOIN dwd.dwd_recharge_order ro
+    ON ro.create_time >= dl.day_start AND ro.create_time < dl.day_end
+    AND ro.settle_type = 5
+  GROUP BY dl.day_name, dl.day_start
+)
+SELECT co.day_name,
+       ROUND(co.v + r.v + gb.v, 2) AS total,
+       co.v AS cash_online,
+       r.v AS recharge,
+       ROUND(gb.v, 2) AS groupbuy,
+       mg.member_v, mg.guest_v,
+       nm.v AS new_members,
+       omr.persons AS old_recharge_persons,
+       omr.amount AS old_recharge_amount
+FROM cash_online co
+JOIN recharge r USING (day_name, day_start)
+JOIN groupbuy gb USING (day_name, day_start)
+JOIN member_guest mg USING (day_name, day_start)
+JOIN new_member nm USING (day_name, day_start)
+JOIN old_recharge omr USING (day_name, day_start);
+"""
+
+cur.execute(sql)
+row = cur.fetchone()
+cols = [d[0] for d in cur.description]
+print(dict(zip(cols, row)))
+conn.close()