281 lines
12 KiB
Python
281 lines
12 KiB
Python
#!/usr/bin/env python3
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"""
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分析会员卡结算情况，找出所有相关字段和正确的消费金额计算方式
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"""
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import os
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import psycopg2
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from datetime import datetime
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from dotenv import load_dotenv
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def main():
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# 加载环境变量
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load_dotenv()
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test_db_dsn = os.environ.get('TEST_DB_DSN')
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if not test_db_dsn:
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raise RuntimeError("TEST_DB_DSN 环境变量未设置")
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print("💳 会员卡结算分析")
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print("=" * 50)
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with psycopg2.connect(test_db_dsn) as conn:
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with conn.cursor() as cur:
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# 1. 查看所有金额相关字段
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print("\n💰 1. 所有金额相关字段分析")
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cur.execute("""
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SELECT column_name, data_type
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FROM information_schema.columns
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WHERE table_schema = 'ods' AND table_name = 'settlement_records'
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AND (column_name LIKE '%amount%' OR column_name LIKE '%money%' OR column_name LIKE '%card%')
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ORDER BY column_name
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""")
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amount_fields = cur.fetchall()
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print("金额相关字段:")
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for field_name, data_type in amount_fields:
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print(f" {field_name}: {data_type}")
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# 2. 分析零消费订单的各字段值
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print("\n🔍 2. 零消费订单字段值分析")
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cur.execute("""
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SELECT
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payamount,
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balanceamount,
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cardamount,
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cashamount,
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couponamount,
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onlineamount,
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pointamount,
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refundamount,
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roundingamount,
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adjustamount,
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couponsaleamount,
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memberdiscountamount,
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tablechargemoney,
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goodsmoney,
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realgoodsmoney,
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servicemoney,
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prepaymoney,
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rechargecardamount,
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giftcardamount,
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COUNT(*) as record_count
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FROM ods.settlement_records
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WHERE payamount = 0
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AND paytime >= '2026-02-01'
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GROUP BY
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payamount, balanceamount, cardamount, cashamount, couponamount,
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onlineamount, pointamount, refundamount, roundingamount, adjustamount,
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couponsaleamount, memberdiscountamount, tablechargemoney, goodsmoney,
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realgoodsmoney, servicemoney, prepaymoney, rechargecardamount, giftcardamount
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ORDER BY record_count DESC
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LIMIT 10
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""")
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zero_patterns = cur.fetchall()
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print("零消费订单的字段组合 (前10种模式):")
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for i, pattern in enumerate(zero_patterns):
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print(f"\n 模式 {i+1} ({pattern[-1]} 条记录):")
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field_names = [
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'payamount', 'balanceamount', 'cardamount', 'cashamount', 'couponamount',
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'onlineamount', 'pointamount', 'refundamount', 'roundingamount', 'adjustamount',
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'couponsaleamount', 'memberdiscountamount', 'tablechargemoney', 'goodsmoney',
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'realgoodsmoney', 'servicemoney', 'prepaymoney', 'rechargecardamount', 'giftcardamount'
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]
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for j, field_name in enumerate(field_names):
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value = pattern[j]
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if value != 0:
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print(f" {field_name}: {value}")
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# 3. 分析正常消费订单的字段值
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print("\n💵 3. 正常消费订单字段值分析")
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cur.execute("""
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SELECT
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payamount,
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balanceamount,
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cardamount,
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cashamount,
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couponamount,
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goodsmoney,
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realgoodsmoney,
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servicemoney,
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tablechargemoney,
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COUNT(*) as record_count
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FROM ods.settlement_records
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WHERE payamount > 0
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AND paytime >= '2026-02-01'
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GROUP BY
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payamount, balanceamount, cardamount, cashamount, couponamount,
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goodsmoney, realgoodsmoney, servicemoney, tablechargemoney
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ORDER BY record_count DESC
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LIMIT 5
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""")
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normal_patterns = cur.fetchall()
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print("正常消费订单的字段组合 (前5种模式):")
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for i, pattern in enumerate(normal_patterns):
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print(f"\n 模式 {i+1} ({pattern[-1]} 条记录):")
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field_names = [
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'payamount', 'balanceamount', 'cardamount', 'cashamount', 'couponamount',
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'goodsmoney', 'realgoodsmoney', 'servicemoney', 'tablechargemoney'
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]
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for j, field_name in enumerate(field_names):
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value = pattern[j]
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print(f" {field_name}: {value}")
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# 4. 分析可能的消费金额计算公式
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print("\n🧮 4. 消费金额计算公式分析")
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# 测试不同的计算公式
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formulas = [
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("payamount", "payamount"),
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("现金+卡", "cashamount + cardamount"),
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("现金+卡+余额", "cashamount + cardamount + balanceamount"),
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("现金+卡+优惠券", "cashamount + cardamount + couponamount"),
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("商品金额", "goodsmoney"),
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("实际商品金额", "realgoodsmoney"),
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("商品+服务", "goodsmoney + servicemoney"),
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("商品+台费", "goodsmoney + tablechargemoney"),
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("全部金额", "cashamount + cardamount + balanceamount + couponamount + onlineamount"),
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("储值卡+现金+团购", "cardamount + cashamount + couponamount")
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]
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for formula_name, formula_sql in formulas:
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cur.execute(f"""
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SELECT
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COUNT(*) as total_records,
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COUNT(CASE WHEN ({formula_sql}) > 0 THEN 1 END) as positive_records,
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AVG({formula_sql}) as avg_amount,
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PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY {formula_sql}) as median_amount,
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MIN({formula_sql}) as min_amount,
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MAX({formula_sql}) as max_amount
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FROM ods.settlement_records
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WHERE paytime >= '2026-02-01'
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AND memberid > 0 -- 只看会员订单
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""")
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result = cur.fetchone()
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total, positive, avg_amt, median_amt, min_amt, max_amt = result
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positive_rate = (positive / total) * 100 if total > 0 else 0
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print(f"\n {formula_name}: {formula_sql}")
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print(f" 正数记录: {positive:,}/{total:,} ({positive_rate:.1f}%)")
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print(f" 平均值: {avg_amt:.2f}, 中位数: {median_amt:.2f}")
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print(f" 范围: [{min_amt:.2f}, {max_amt:.2f}]")
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# 5. 深入分析会员卡相关字段
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print("\n💳 5. 会员卡相关字段深度分析")
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card_fields = ['cardamount', 'balanceamount', 'rechargecardamount', 'giftcardamount']
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for field in card_fields:
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cur.execute(f"""
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SELECT
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CASE
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WHEN {field} = 0 THEN '零值'
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WHEN {field} > 0 AND {field} <= 50 THEN '小额(≤50)'
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WHEN {field} > 50 AND {field} <= 200 THEN '中额(50-200)'
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WHEN {field} > 200 THEN '大额(>200)'
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WHEN {field} < 0 THEN '负值'
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END as amount_range,
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COUNT(*) as record_count,
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AVG({field}) as avg_amount
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FROM ods.settlement_records
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WHERE paytime >= '2026-02-01'
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GROUP BY
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CASE
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WHEN {field} = 0 THEN '零值'
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WHEN {field} > 0 AND {field} <= 50 THEN '小额(≤50)'
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WHEN {field} > 50 AND {field} <= 200 THEN '中额(50-200)'
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WHEN {field} > 200 THEN '大额(>200)'
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WHEN {field} < 0 THEN '负值'
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END
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ORDER BY record_count DESC
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""")
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field_stats = cur.fetchall()
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print(f"\n {field} 分布:")
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for amount_range, count, avg_amt in field_stats:
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print(f" {amount_range}: {count:,} 条, 平均 {avg_amt:.2f}")
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# 6. 找出最可能的会员卡抵扣字段
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print("\n🎯 6. 推荐的会员卡抵扣字段")
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# 分析零消费但有其他金额的订单
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cur.execute("""
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SELECT
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'cardamount' as field_name,
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COUNT(CASE WHEN payamount = 0 AND cardamount > 0 THEN 1 END) as zero_pay_positive_field,
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COUNT(CASE WHEN payamount > 0 AND cardamount > 0 THEN 1 END) as positive_pay_positive_field,
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AVG(CASE WHEN cardamount > 0 THEN cardamount END) as avg_when_positive
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FROM ods.settlement_records
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WHERE paytime >= '2026-02-01'
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UNION ALL
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SELECT
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'balanceamount' as field_name,
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COUNT(CASE WHEN payamount = 0 AND balanceamount > 0 THEN 1 END),
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COUNT(CASE WHEN payamount > 0 AND balanceamount > 0 THEN 1 END),
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AVG(CASE WHEN balanceamount > 0 THEN balanceamount END)
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FROM ods.settlement_records
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WHERE paytime >= '2026-02-01'
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UNION ALL
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SELECT
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'couponamount' as field_name,
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COUNT(CASE WHEN payamount = 0 AND couponamount > 0 THEN 1 END),
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COUNT(CASE WHEN payamount > 0 AND couponamount > 0 THEN 1 END),
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AVG(CASE WHEN couponamount > 0 THEN couponamount END)
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FROM ods.settlement_records
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WHERE paytime >= '2026-02-01'
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""")
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field_analysis = cur.fetchall()
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print("字段与零消费关联性分析:")
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for field_name, zero_pay_positive, positive_pay_positive, avg_positive in field_analysis:
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print(f" {field_name}:")
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print(f" 零消费但该字段>0: {zero_pay_positive:,} 条")
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print(f" 正常消费且该字段>0: {positive_pay_positive:,} 条")
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if avg_positive is not None:
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print(f" 该字段>0时平均值: {avg_positive:.2f}")
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else:
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print(f" 该字段>0时平均值: 无数据")
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# 7. 提供具体的样本数据
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print("\n📋 7. 具体样本数据")
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cur.execute("""
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SELECT
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id,
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paytime,
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payamount,
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cardamount,
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balanceamount,
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cashamount,
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couponamount,
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goodsmoney,
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memberid
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FROM ods.settlement_records
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WHERE payamount = 0
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AND (cardamount > 0 OR balanceamount > 0 OR couponamount > 0)
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AND paytime >= '2026-02-01'
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ORDER BY paytime DESC
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LIMIT 10
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""")
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samples = cur.fetchall()
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print("零消费但有其他金额的样本 (前10条):")
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for sample in samples:
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oid, paytime, payamount, cardamount, balanceamount, cashamount, couponamount, goodsmoney, memberid = sample
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print(f" ID: {oid}, 时间: {paytime.strftime('%m-%d %H:%M')}")
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print(f" pay: {payamount}, card: {cardamount}, balance: {balanceamount}")
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print(f" cash: {cashamount}, coupon: {couponamount}, goods: {goodsmoney}")
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if __name__ == "__main__":
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main() |