#!/usr/bin/env python3
"""查询激活L2课程的用户中，有多少也激活了L1，以及他们的L1/L2学习进度对比"""
import psycopg2
import statistics
import sys

conn = psycopg2.connect(
    host="bj-postgres-16pob4sg.sql.tencentcdb.com",
    port=28591,
    user="ai_member",
    password="LdfjdjL83h3h3^$&**YGG*",
    dbname="vala_bi"
)

cur = conn.cursor()

# ========================================
# Part 1: 激活L2的用户中有多少也激活了L1
# ========================================
print("=" * 60)
print("Part 1: L2用户中同时激活L1的比例")
print("=" * 60)

sql1 = """
WITH orders AS (
    SELECT o.out_trade_no, o.account_id, o.pay_success_date
    FROM bi_vala_order o
    JOIN bi_vala_app_account a ON o.account_id = a.id
    WHERE o.pay_success_date >= '2026-03-01'
      AND o.order_status != 4
      AND o.pay_success_date IS NOT NULL
      AND a.status = 1
),
l2_tickets AS (
    SELECT DISTINCT o.account_id
    FROM orders o
    JOIN bi_vala_seasonal_ticket t ON o.out_trade_no = t.out_trade_no
    WHERE t.status = 1 
      AND t.deleted_at IS NULL
      AND t.season_package_level = 'A2'
),
l1_tickets AS (
    SELECT DISTINCT o.account_id
    FROM orders o
    JOIN bi_vala_seasonal_ticket t ON o.out_trade_no = t.out_trade_no
    WHERE t.status = 1 
      AND t.deleted_at IS NULL
      AND t.season_package_level = 'A1'
),
all_l1_anytime AS (
    -- L1激活（不限时间）
    SELECT DISTINCT account_id 
    FROM l2_tickets l2
    WHERE EXISTS (
        SELECT 1 FROM bi_vala_seasonal_ticket t
        JOIN bi_vala_order o ON t.out_trade_no = o.out_trade_no
        WHERE t.status = 1 AND t.deleted_at IS NULL 
          AND t.season_package_level = 'A1'
          AND o.account_id = l2.account_id
    )
)
SELECT 
    (SELECT COUNT(*) FROM l2_tickets) AS total_l2_accounts,
    (SELECT COUNT(*) FROM all_l1_anytime) AS l1_l2_both,
    (SELECT COUNT(*) FROM l1_tickets WHERE account_id IN (SELECT account_id FROM l2_tickets)) AS l1_l2_both_same_period;
"""
cur.execute(sql1)
r1 = cur.fetchone()
total_l2 = r1[0]
both_any = r1[1]
both_period = r1[2]
print(f"激活L2的账户数（2026-03后订单）: {total_l2}")
print(f"其中也激活了L1的账户数（不限时间）: {both_any} ({both_any/total_l2*100:.1f}%)")
print(f"其中也通过2026-03后订单激活了L1: {both_period} ({both_period/total_l2*100:.1f}%)")

# ========================================
# Part 2: 双激活用户的学习进度对比
# ========================================
print(f"\n{'='*60}")
print("Part 2: 双激活用户 L1 vs L2 学习进度对比（下单30天内）")
print("=" * 60)

sql2 = """
WITH orders AS (
    SELECT o.id, o.out_trade_no, o.account_id, o.pay_success_date
    FROM bi_vala_order o
    JOIN bi_vala_app_account a ON o.account_id = a.id
    WHERE o.pay_success_date >= '2026-03-01'
      AND o.order_status != 4
      AND o.pay_success_date IS NOT NULL
      AND a.status = 1
),
l2_accounts AS (
    SELECT DISTINCT o.account_id
    FROM orders o
    JOIN bi_vala_seasonal_ticket t ON o.out_trade_no = t.out_trade_no
    WHERE t.status = 1 AND t.deleted_at IS NULL AND t.season_package_level = 'A2'
),
dual_tickets AS (
    -- 只取同时激活了L1和L2的账户的tickets
    SELECT o.out_trade_no, o.account_id, o.pay_success_date,
           t.character_id, t.season_package_level
    FROM orders o
    JOIN bi_vala_seasonal_ticket t ON o.out_trade_no = t.out_trade_no
    WHERE t.status = 1 
      AND t.deleted_at IS NULL
      AND t.season_package_level IN ('A1', 'A2')
      AND o.account_id IN (
          SELECT account_id FROM l2_accounts
          INTERSECT
          SELECT DISTINCT o2.account_id FROM orders o2
          JOIN bi_vala_seasonal_ticket t2 ON o2.out_trade_no = t2.out_trade_no
          WHERE t2.status = 1 AND t2.deleted_at IS NULL AND t2.season_package_level = 'A1'
      )
),
all_chapter_records AS (
    SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_0 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_1 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_2 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_3 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_4 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_5 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_6 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_7 WHERE play_status = 1
),
level_records AS (
    SELECT pr.user_id, pr.chapter_id, pr.created_at, l.course_level
    FROM all_chapter_records pr
    JOIN bi_level_unit_lesson l ON pr.chapter_id = l.id
    WHERE l.course_level IN ('L1', 'L2')
),
ticket_progress AS (
    SELECT 
        t.out_trade_no,
        t.account_id,
        t.character_id,
        t.season_package_level,
        COUNT(DISTINCT lr.chapter_id) AS completed_lessons
    FROM dual_tickets t
    LEFT JOIN level_records lr 
        ON t.character_id = lr.user_id
        AND lr.course_level = CASE 
            WHEN t.season_package_level = 'A1' THEN 'L1' 
            WHEN t.season_package_level = 'A2' THEN 'L2' 
        END
        AND lr.created_at >= t.pay_success_date
        AND lr.created_at <= t.pay_success_date + INTERVAL '30 days'
    GROUP BY t.out_trade_no, t.account_id, t.character_id, t.season_package_level
)
SELECT 
    CASE WHEN season_package_level = 'A1' THEN 'L1' ELSE 'L2' END AS course_level,
    completed_lessons,
    COUNT(*) AS ticket_count
FROM ticket_progress
GROUP BY season_package_level, completed_lessons
ORDER BY season_package_level, completed_lessons;
"""
cur.execute(sql2)
rows = cur.fetchall()

l1_rows = [(r[1], r[2]) for r in rows if r[0] == 'L1']
l2_rows = [(r[1], r[2]) for r in rows if r[0] == 'L2']

for label, data in [('L1', l1_rows), ('L2', l2_rows)]:
    total = sum(r[1] for r in data)
    print(f"\n--- {label}（双激活用户，仅2026-03后订单ticket）---")
    print(f"总 ticket 数: {total}")
    
    # 分桶展示
    buckets = [(0,0), (1,5), (6,10), (11,15), (16,20), (21,25), (26,30), (31,999)]
    print(f"{'区间':>12} | {'ticket数':>10} | {'占比':>8}")
    print("-" * 35)
    for lo, hi in buckets:
        if lo == hi == 0:
            cnt = sum(r[1] for r in data if r[0] == 0)
            label_b = "0节"
        elif hi == 999:
            cnt = sum(r[1] for r in data if r[0] >= lo)
            label_b = f"{lo}+"
        else:
            cnt = sum(r[1] for r in data if lo <= r[0] <= hi)
            label_b = f"{lo}-{hi}"
        pct = cnt / total * 100 if total > 0 else 0
        print(f"{label_b:>12} | {cnt:>10} | {pct:>7.1f}%")
    
    # 统计
    values = []
    for v, c in data:
        values.extend([v] * c)
    if values:
        avg = sum(values) / len(values)
        med = statistics.median(values)
        zero_pct = sum(1 for v in values if v == 0) / len(values) * 100
        p25 = sorted(values)[len(values)//4]
        p75 = sorted(values)[len(values)*3//4]
        print(f"\n平均={avg:.1f} | 中位数={med:.0f} | P25={p25} | P75={p75} | 0节占比={zero_pct:.1f}%")

# ========================================
# Part 3: 同一用户 L1 vs L2 进度对比
# ========================================
print(f"\n{'='*60}")
print("Part 3: 同一用户 L1 vs L2 进度逐用户对比")
print("=" * 60)

sql3 = """
WITH orders AS (
    SELECT o.id, o.out_trade_no, o.account_id, o.pay_success_date
    FROM bi_vala_order o
    JOIN bi_vala_app_account a ON o.account_id = a.id
    WHERE o.pay_success_date >= '2026-03-01'
      AND o.order_status != 4
      AND o.pay_success_date IS NOT NULL
      AND a.status = 1
),
l2_accounts AS (
    SELECT DISTINCT o.account_id
    FROM orders o
    JOIN bi_vala_seasonal_ticket t ON o.out_trade_no = t.out_trade_no
    WHERE t.status = 1 AND t.deleted_at IS NULL AND t.season_package_level = 'A2'
),
dual_accounts AS (
    SELECT account_id FROM l2_accounts
    INTERSECT
    SELECT DISTINCT o2.account_id FROM orders o2
    JOIN bi_vala_seasonal_ticket t2 ON o2.out_trade_no = t2.out_trade_no
    WHERE t2.status = 1 AND t2.deleted_at IS NULL AND t2.season_package_level = 'A1'
),
dual_tickets AS (
    SELECT o.out_trade_no, o.account_id, o.pay_success_date,
           t.character_id, t.season_package_level
    FROM orders o
    JOIN bi_vala_seasonal_ticket t ON o.out_trade_no = t.out_trade_no
    WHERE t.status = 1 AND t.deleted_at IS NULL
      AND t.season_package_level IN ('A1', 'A2')
      AND o.account_id IN (SELECT account_id FROM dual_accounts)
),
all_chapter_records AS (
    SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_0 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_1 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_2 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_3 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_4 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_5 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_6 WHERE play_status = 1
    UNION ALL SELECT user_id, chapter_id, created_at FROM bi_user_chapter_play_record_7 WHERE play_status = 1
),
level_records AS (
    SELECT pr.user_id, pr.chapter_id, pr.created_at, l.course_level
    FROM all_chapter_records pr
    JOIN bi_level_unit_lesson l ON pr.chapter_id = l.id
    WHERE l.course_level IN ('L1', 'L2')
),
ticket_progress AS (
    SELECT 
        t.out_trade_no,
        t.account_id,
        t.character_id,
        t.season_package_level,
        COUNT(DISTINCT lr.chapter_id) AS completed_lessons
    FROM dual_tickets t
    LEFT JOIN level_records lr 
        ON t.character_id = lr.user_id
        AND lr.course_level = CASE 
            WHEN t.season_package_level = 'A1' THEN 'L1' 
            WHEN t.season_package_level = 'A2' THEN 'L2' 
        END
        AND lr.created_at >= t.pay_success_date
        AND lr.created_at <= t.pay_success_date + INTERVAL '30 days'
    GROUP BY t.out_trade_no, t.account_id, t.character_id, t.season_package_level
),
account_level_progress AS (
    -- 每个用户每个level取所有ticket中完课数的最大值（取最好的那个ticket）
    SELECT 
        account_id,
        CASE WHEN season_package_level = 'A1' THEN 'L1' ELSE 'L2' END AS course_level,
        MAX(completed_lessons) AS max_completed
    FROM ticket_progress
    GROUP BY account_id, season_package_level
)
SELECT 
    COALESCE(l1.max_completed, 0) AS l1_lessons,
    COALESCE(l2.max_completed, 0) AS l2_lessons,
    COUNT(*) AS account_count
FROM (SELECT DISTINCT account_id FROM dual_accounts) da
LEFT JOIN account_level_progress l1 ON da.account_id = l1.account_id AND l1.course_level = 'L1'
LEFT JOIN account_level_progress l2 ON da.account_id = l2.account_id AND l2.course_level = 'L2'
GROUP BY COALESCE(l1.max_completed, 0), COALESCE(l2.max_completed, 0)
ORDER BY l1_lessons, l2_lessons;
"""
cur.execute(sql3)
rows3 = cur.fetchall()
print(f"\nL1进度 vs L2进度（每个用户取该level最佳ticket的完课数）")
print(f"{'L1节数':>8} | {'L2节数':>8} | {'用户数':>8}")
print("-" * 30)
for r in rows3:
    print(f"{r[0]:>8} | {r[1]:>8} | {r[2]:>8}")

# Summary: L1 > L2, L1 < L2, L1 = L2
l1_gt = sum(r[2] for r in rows3 if r[0] > r[1])
l2_gt = sum(r[2] for r in rows3 if r[0] < r[1])
equal = sum(r[2] for r in rows3 if r[0] == r[1])
total_dual = sum(r[2] for r in rows3)
print(f"\n总结（用户级）:")
print(f"  L1进度 > L2进度: {l1_gt} 人 ({l1_gt/total_dual*100:.1f}%)")
print(f"  L1进度 < L2进度: {l2_gt} 人 ({l2_gt/total_dual*100:.1f}%)")
print(f"  L1进度 = L2进度: {equal} 人 ({equal/total_dual*100:.1f}%)")

# Both zero
both_zero = sum(r[2] for r in rows3 if r[0] == 0 and r[1] == 0)
print(f"  两者均为0节: {both_zero} 人 ({both_zero/total_dual*100:.1f}%)")

cur.close()
conn.close()
print("\n查询完成。")