微信小程序页面迁移校验之前 P5任务处理之前

scripts/ops/_debug_spi2.py

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+"""快速诊断 SPI 溢出值"""
+import os, math
+from pathlib import Path
+from dotenv import load_dotenv
+import psycopg2
+
+load_dotenv(Path(__file__).resolve().parents[2] / ".env")
+dsn = os.environ["PG_DSN"]
+conn = psycopg2.connect(dsn, connect_timeout=5)
+cur = conn.cursor()
+sid = 2790685415443269
+
+# 查消费特征极值
+cur.execute("""
+    SELECT MAX(spend_30), MAX(spend_90), MAX(avg_ticket_90),
+           MAX(daily_spend_ewma_90), MAX(recharge_90)
+    FROM dws.dws_member_consumption WHERE site_id = %s
+""", (sid,))
+r = cur.fetchone()
+print(f"MAX: spend_30={r[0]}, spend_90={r[1]}, avg_ticket={r[2]}, ewma={r[3]}, recharge={r[4]}")
+
+# 模拟最大 level score
+s30 = float(r[0] or 0)
+s90 = float(r[1] or 0)
+tk = float(r[2] or 0)
+ewma = float(r[3] or 0)
+rch = float(r[4] or 0)
+
+level = (0.30 * math.log1p(s30/500) + 0.30 * math.log1p(s90/1500)
+         + 0.20 * math.log1p(tk/200) + 0.20 * math.log1p(rch/1000))
+print(f"Max possible level: {level:.6f}")
+
+# 模拟最大 speed
+v_abs = math.log1p(s30 / (1 * 100))  # visit_days_30=1
+v_ewma = math.log1p(ewma / 50)
+speed = 0.40 * v_abs + 0.30 * 0 + 0.30 * v_ewma
+print(f"Max possible speed: {speed:.6f}")
+
+raw = 0.60 * level + 0.30 * speed
+print(f"Max possible raw: {raw:.6f}")
+
+# 查充值特征
+cur.execute("""
+    SELECT member_id, recharge_90 FROM dws.dws_member_recharge
+    WHERE site_id = %s ORDER BY recharge_90 DESC LIMIT 3
+""", (sid,))
+print(f"\nTop recharge: {cur.fetchall()}")
+
+# 查 dws_member_consumption 列定义
+cur.execute("""
+    SELECT column_name, data_type, numeric_precision, numeric_scale
+    FROM information_schema.columns
+    WHERE table_schema='dws' AND table_name='dws_member_consumption'
+    AND data_type='numeric'
+""")
+print(f"\ndws_member_consumption numeric cols:")
+for r in cur.fetchall():
+    print(f"  {r[0]}: numeric({r[1]},{r[2]})")
+
+conn.close()