🤖 每日自动备份 - 2026-05-18 08:00:01
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小溪
parent
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{
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"version": 1,
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"updatedAt": "2026-05-15T09:14:59.142Z",
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"updatedAt": "2026-05-17T05:10:46.252Z",
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"entries": {
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"memory:memory/2026-05-06.md:1:20": {
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"key": "memory:memory/2026-05-06.md:1:20",
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@ -42,20 +42,22 @@
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"endLine": 30,
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"source": "memory",
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"snippet": "- **订单号格式问题：** Excel 科学计数法 → 设置单元格为文本格式解决 - **psycopg2 转义：** LIKE 中 `%` 需写成 `%%`（psycopg2 的 `%s` 占位符冲突） ## 任务2：销售线索用户分析报表 - [李承龙需求] 输入包含462个用户ID的Excel，输出每个用户+角色的完整画像报表 - 脚本路径：`/root/.openclaw/workspace/scripts/lead_user_analysis.py` - **重要口径修正（李承龙确认）：** - **体验课定义：** 固定为 L1 U00(L01-L05) + L2 U00(L01-L05) 共10节课，**不通过 expire_time 区分** - L1 chapter_id: 343, 344, 345, 346, 348 - L2 chapter_id: 55, 56, 57, 58, 59 - **完成时间：** 取 `bi_user_chapter_play_record` 中 `play_status=1` 记录的**最早 `updated_at`**（非 `created_at`） - **报表列：** 用户ID、角色ID、用户注册时间、角色创建时间、L1序章5节完成时间、L2序章5节完成时间、购买时间、购买课包名称、支付金额、购买渠道key_from、是否退款、退款金额 - **分表规则：** `bi_user_chapter_play_record_{0..7}`，分表号 = user_id % 8 - **重要关联：** `b",
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"recallCount": 2,
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"recallCount": 3,
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"dailyCount": 0,
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"groundedCount": 0,
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"totalScore": 1.983596316357381,
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"totalScore": 2.983596316357381,
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"maxScore": 1,
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"firstRecalledAt": "2026-05-07T04:41:47.636Z",
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"lastRecalledAt": "2026-05-13T08:20:55.037Z",
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"lastRecalledAt": "2026-05-17T05:10:46.252Z",
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"queryHashes": [
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"dd105d141c56",
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"4cacd0d43440"
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"4cacd0d43440",
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"1dc41fdf5e74"
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],
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"recallDays": [
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"2026-05-07",
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"2026-05-13"
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"2026-05-13",
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"2026-05-17"
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],
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"conceptTags": [
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"l01-l05",
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110
scripts/l1l2_users_study_breakdown.sql
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110
scripts/l1l2_users_study_breakdown.sql
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-- L1+L2用户(821人)上周学习情况：仅学L1 / 仅学L2 / 都学了
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WITH last_week_active_chars AS (
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_0 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_1 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_2 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_3 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_4 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_5 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_6 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_7 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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),
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last_week_active_accounts AS (
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SELECT DISTINCT c.account_id
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FROM last_week_active_chars lw
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JOIN bi_vala_app_character c ON lw.user_id = c.id
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),
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paying_active AS (
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SELECT DISTINCT lw.account_id
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FROM last_week_active_accounts lw
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WHERE EXISTS (
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SELECT 1 FROM bi_vala_order o
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JOIN bi_vala_app_account a ON o.account_id = a.id AND a.status = 1
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WHERE o.account_id = lw.account_id
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AND o.order_status IN (3, 4)
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AND o.pay_success_date IS NOT NULL
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)
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),
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user_goods AS (
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SELECT o.account_id, o.goods_id
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FROM bi_vala_order o
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JOIN paying_active pa ON o.account_id = pa.account_id
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WHERE o.order_status IN (3, 4) AND o.pay_success_date IS NOT NULL
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),
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l1l2_accounts AS (
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SELECT account_id
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FROM user_goods
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GROUP BY account_id
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HAVING bool_or(goods_id = 61) OR (bool_or(goods_id IN (57, 60, 63)) AND bool_or(goods_id IN (31, 32, 33, 54)))
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),
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l1l2_chars AS (
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SELECT c.id AS user_id, c.account_id
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FROM bi_vala_app_character c
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JOIN l1l2_accounts a ON c.account_id = a.account_id
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),
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last_week_chapters AS (
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SELECT p.user_id, p.chapter_id
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FROM bi_user_chapter_play_record_0 p
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WHERE p.play_status = 1 AND p.created_at >= '2026-05-11' AND p.created_at < '2026-05-18'
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UNION ALL
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SELECT p.user_id, p.chapter_id
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FROM bi_user_chapter_play_record_1 p
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WHERE p.play_status = 1 AND p.created_at >= '2026-05-11' AND p.created_at < '2026-05-18'
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UNION ALL
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SELECT p.user_id, p.chapter_id
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FROM bi_user_chapter_play_record_2 p
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WHERE p.play_status = 1 AND p.created_at >= '2026-05-11' AND p.created_at < '2026-05-18'
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UNION ALL
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SELECT p.user_id, p.chapter_id
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FROM bi_user_chapter_play_record_3 p
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WHERE p.play_status = 1 AND p.created_at >= '2026-05-11' AND p.created_at < '2026-05-18'
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UNION ALL
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SELECT p.user_id, p.chapter_id
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FROM bi_user_chapter_play_record_4 p
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WHERE p.play_status = 1 AND p.created_at >= '2026-05-11' AND p.created_at < '2026-05-18'
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UNION ALL
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SELECT p.user_id, p.chapter_id
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FROM bi_user_chapter_play_record_5 p
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WHERE p.play_status = 1 AND p.created_at >= '2026-05-11' AND p.created_at < '2026-05-18'
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UNION ALL
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SELECT p.user_id, p.chapter_id
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FROM bi_user_chapter_play_record_6 p
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WHERE p.play_status = 1 AND p.created_at >= '2026-05-11' AND p.created_at < '2026-05-18'
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UNION ALL
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SELECT p.user_id, p.chapter_id
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FROM bi_user_chapter_play_record_7 p
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WHERE p.play_status = 1 AND p.created_at >= '2026-05-11' AND p.created_at < '2026-05-18'
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),
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chapter_with_level AS (
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SELECT DISTINCT c.account_id, bl.course_level
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FROM last_week_chapters lw
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JOIN l1l2_chars c ON lw.user_id = c.user_id
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JOIN bi_level_unit_lesson bl ON lw.chapter_id = bl.id
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WHERE bl.course_level IN ('L1', 'L2')
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),
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user_level_study AS (
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SELECT
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account_id,
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bool_or(course_level = 'L1') AS studied_l1,
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bool_or(course_level = 'L2') AS studied_l2
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FROM chapter_with_level
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GROUP BY account_id
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)
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SELECT
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CASE
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WHEN studied_l1 AND studied_l2 THEN 'L1和L2都学了'
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WHEN studied_l1 THEN '仅学了L1'
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WHEN studied_l2 THEN '仅学了L2'
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END AS study_type,
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COUNT(*) AS user_count
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FROM user_level_study
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GROUP BY 1
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ORDER BY 1;
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71
scripts/weekly_active_paying_users.sql
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71
scripts/weekly_active_paying_users.sql
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-- 上周(2026-05-11~2026-05-17)有课消的付费用户，按 L1/L2 分类
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WITH last_week_active_chars AS (
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_0 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_1 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_2 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_3 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_4 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_5 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_6 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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UNION
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SELECT DISTINCT user_id FROM bi_user_chapter_play_record_7 WHERE play_status = 1 AND created_at >= '2026-05-11' AND created_at < '2026-05-18'
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),
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last_week_active_accounts AS (
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SELECT DISTINCT c.account_id
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FROM last_week_active_chars lw
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JOIN bi_vala_app_character c ON lw.user_id = c.id
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),
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paying_active AS (
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SELECT DISTINCT lw.account_id
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FROM last_week_active_accounts lw
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WHERE EXISTS (
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SELECT 1 FROM bi_vala_order o
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JOIN bi_vala_app_account a ON o.account_id = a.id AND a.status = 1
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WHERE o.account_id = lw.account_id
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AND o.order_status IN (3, 4)
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AND o.pay_success_date IS NOT NULL
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)
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),
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user_goods_agg AS (
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SELECT
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pa.account_id,
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array_agg(DISTINCT o.goods_id) AS goods_ids
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FROM paying_active pa
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JOIN bi_vala_order o ON pa.account_id = o.account_id
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WHERE o.order_status IN (3, 4)
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AND o.pay_success_date IS NOT NULL
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GROUP BY pa.account_id
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),
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classified AS (
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SELECT
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account_id,
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CASE
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WHEN 61 = ANY(goods_ids) THEN 'L1+L2'
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WHEN (57 = ANY(goods_ids) OR 60 = ANY(goods_ids) OR 63 = ANY(goods_ids))
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AND (31 = ANY(goods_ids) OR 32 = ANY(goods_ids) OR 33 = ANY(goods_ids) OR 54 = ANY(goods_ids))
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THEN 'L1+L2'
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WHEN 57 = ANY(goods_ids) OR 60 = ANY(goods_ids) OR 63 = ANY(goods_ids) THEN '仅L1'
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WHEN 31 = ANY(goods_ids) OR 32 = ANY(goods_ids) OR 33 = ANY(goods_ids) OR 54 = ANY(goods_ids) THEN '仅L2'
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ELSE '其他'
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END AS level_type
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FROM user_goods_agg
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)
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SELECT
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level_type,
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COUNT(*) AS user_count
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FROM classified
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GROUP BY level_type
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ORDER BY
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CASE level_type
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WHEN '仅L1' THEN 1
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WHEN '仅L2' THEN 2
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WHEN 'L1+L2' THEN 3
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WHEN '其他' THEN 4
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END;
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