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