121 lines
4.3 KiB
Python
121 lines
4.3 KiB
Python
#!/usr/bin/env python3
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"""查询2026年3月后未退费订单，激活课程在下单30天内的学习进度分布"""
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import psycopg2
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import os
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import sys
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# 数据库连接
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conn = psycopg2.connect(
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host="bj-postgres-16pob4sg.sql.tencentcdb.com",
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port=28591,
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user="ai_member",
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password="LdfjdjL83h3h3^$&**YGG*",
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dbname="vala_bi"
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)
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cur = conn.cursor()
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sql = """WITH orders AS (
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SELECT o.id, o.out_trade_no, o.account_id, o.pay_success_date
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FROM bi_vala_order o
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JOIN bi_vala_app_account a ON o.account_id = a.id
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WHERE o.pay_success_date >= '2026-03-01'
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AND o.order_status != 4
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AND o.pay_success_date IS NOT NULL
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AND a.status = 1
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),
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tickets AS (
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SELECT o.out_trade_no, o.account_id, o.pay_success_date,
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t.character_id, t.season_package_level
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FROM orders o
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JOIN bi_vala_seasonal_ticket t ON o.out_trade_no = t.out_trade_no
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WHERE t.status = 1
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AND t.deleted_at IS NULL
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AND t.season_package_level IN ('A1', 'A2')
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),
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all_chapter_records AS (
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SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_0 WHERE play_status = 1
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UNION ALL
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SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_1 WHERE play_status = 1
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UNION ALL
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SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_2 WHERE play_status = 1
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UNION ALL
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SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_3 WHERE play_status = 1
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UNION ALL
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SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_4 WHERE play_status = 1
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UNION ALL
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SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_5 WHERE play_status = 1
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UNION ALL
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SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_6 WHERE play_status = 1
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UNION ALL
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SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_7 WHERE play_status = 1
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),
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level_records AS (
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SELECT pr.user_id, pr.chapter_id, pr.created_at, l.course_level
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FROM all_chapter_records pr
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JOIN bi_level_unit_lesson l ON pr.chapter_id = l.id
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WHERE l.course_level IN ('L1', 'L2')
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),
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ticket_progress AS (
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SELECT
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t.out_trade_no,
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t.account_id,
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t.character_id,
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t.season_package_level,
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t.pay_success_date,
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COUNT(DISTINCT lr.chapter_id) AS completed_lessons
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FROM tickets t
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LEFT JOIN level_records lr
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ON t.character_id = lr.user_id
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AND lr.course_level = CASE
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WHEN t.season_package_level = 'A1' THEN 'L1'
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WHEN t.season_package_level = 'A2' THEN 'L2'
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END
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AND lr.created_at >= t.pay_success_date
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AND lr.created_at <= t.pay_success_date + INTERVAL '30 days'
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GROUP BY t.out_trade_no, t.account_id, t.character_id, t.season_package_level, t.pay_success_date
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)
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SELECT
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CASE WHEN season_package_level = 'A1' THEN 'L1' ELSE 'L2' END AS course_level,
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completed_lessons,
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COUNT(*) AS ticket_count,
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ROUND(COUNT(*) * 100.0 / SUM(COUNT(*)) OVER (PARTITION BY season_package_level), 1) AS pct
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FROM ticket_progress
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GROUP BY season_package_level, completed_lessons
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ORDER BY season_package_level, completed_lessons;"""
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print("正在查询...")
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cur.execute(sql)
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rows = cur.fetchall()
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print(f"\n{'='*60}")
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print("2026年3月后未退费订单 → 激活课程下单30天内学习进度分布")
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print(f"{'='*60}")
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l1_rows = [r for r in rows if r[0] == 'L1']
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l2_rows = [r for r in rows if r[0] == 'L2']
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for label, data in [('L1', l1_rows), ('L2', l2_rows)]:
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print(f"\n--- {label} ---")
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total = sum(r[2] for r in data)
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print(f"总 ticket 数: {total}")
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print(f"{'完课数':>8} | {'ticket数':>10} | {'占比':>8}")
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print("-" * 35)
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for r in data:
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print(f"{r[1]:>8} | {r[2]:>10} | {r[3]:>7}%")
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# 统计摘要
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if data:
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completed_values = []
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for r in data:
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completed_values.extend([r[1]] * r[2])
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import statistics
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avg = sum(completed_values) / len(completed_values) if completed_values else 0
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median = statistics.median(completed_values) if completed_values else 0
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zero_pct = sum(1 for v in completed_values if v == 0) / len(completed_values) * 100 if completed_values else 0
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print(f"\n摘要: 平均={avg:.1f}节, 中位数={median:.0f}节, 0节课占比={zero_pct:.1f}%")
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cur.close()
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conn.close()
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print("\n查询完成。")
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