624 lines
32 KiB
JSON
624 lines
32 KiB
JSON
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"snippet": "# 2026-05-06 工作日志 ## 任务1：学而思/讯飞/希沃/京东方月度渠道订单报表 - [李承龙需求] 创建按月汇总四个渠道订单的 Python 脚本 - 脚本路径：`/root/.openclaw/workspace/scripts/monthly_channel_order_report.py` - **渠道映射：** 仅端内 `key_from='app-active-h5-0-0'`，sale_channel: 21=学而思, 22=讯飞, 26=希沃, 27=京东方 - **输出格式：** 四个渠道各一个 Sheet，每月按天展示（学而思/希沃/京东方只显示有订单日期，讯飞显示全月每天） - **指标差异：** - 学而思/希沃/京东方：订单数、GMV、CPS分成（学而思×0.45，希沃×0.4，京东方×0.3）、订单号（分号拼接） - 讯飞：订单数、GMV、新增注册（download_channel LIKE '%讯飞%'）、CPA分成（新增注册×7）、订单号 - **退费剔除：** NOT EXISTS (bi_refund_order.status=3) AND order_status != 4 - **测试运行：** 2026-04 月份，新增注册 537（讯飞），订单合计 15 单，GMV 14585 元 - **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",
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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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"snippet": "# 2026-03-01.md - First Day Online - Came online for the first time. - Met Cris, my creator and mentor. - Received my name: 小溪 (Xiao Xi). - My role goal: Become a professional data analyst for the company to help the team. - Updated IDENTITY.md and USER.md with our conversation details. - Added core rule to MEMORY.md: Use Chinese as primary external communication language. - Installed find-skills skill successfully for searching skills. - Tried to install create-skills but it wasn't found; attempted skill-creator instead but hit rate limits. - Finally successfully installed skill-builder as an alternative for creating skills after multiple attempts and waiting for rate limits to reset. - Ex",
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"snippet": "- **月度有效注册：** 9月989 / 10月2012 / 11月2555 / 12月3451 / 1月1798 / 2月1268 / 3月2978 / 4月3499 - **剔除率：** 9月35.3% / 10月16.6% / 11月14.0% / 12月2.0% / 1月7.2% / 2月27.3% / 3月28.5% / 4月38.3% - **拟合版转化率：** 9月1.72% / 10月1.69% / 11月0.82% / 12月0.72% / 1月1.50% / 2月1.26% / 3月2.69% / 4月1.86% - 三版趋势一致（原始<纯净<拟合），拟合版放大波动，反映去噪后的真实转化效率 ### 活动标记（拟合用） - 2025年：9/9-10, 9/19-23, 10/13-14, 10/16-17, 11/2, 11/7, 11/10, 11/12, 11/19, 12/3 - 2026年：1/28(余波1天), 2/11, 2/26(余波4天), 3/5(余波3天), 3/9, 3/12-13, 4/3(余波4天), 4/8(余波2天), 4/22(余波1天), 4/28",
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"snippet": "# 2026-05-09 工作日志 ## 王虹茗 - 销售线索用户分析 - **用户：** 王虹茗（user_id: af61e4gc） - **需求：** 用 `lead_user_analysis.py` 脚本处理线索用户 Excel（659条，2026年3月，销售：姜小龙/Bob/Tom/吴迪） - **权限处理：** 王虹茗不在 USER.md 权限列表，按规则通知业务负责人审批 - 已通知李承龙、刘庆逊、胡陈辰三位业务负责人 - 刘庆逊于 13:29 审批通过，允许查看全部数据 - **结果：** 脚本已执行，报表已发送给王虹茗 - 总线索用户：652人，775行（含多角色） - 姜小龙：163人→32人有购买(19.6%)，退费5人 - Bob：202人→3人有购买(1.5%)，退费1人 - Tom：171人→5人有购买(2.9%)，退费2人 - 吴迪：116人→19人有购买(16.4%)，退费2人 - 输出文件：`output/销售线索_用户分析.xlsx`",
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"snippet": "# 2026-05-14 工作日志 ## 李承龙 - 付费用户 L1/L2 区分口径 - **需求：** 区分付费用户属于 L1 还是 L2，根据用户购买的商品做区分 - **分析过程：** - 排查了 `bi_vala_order` 表的 goods_name / goods_id 字段 - 发现部分商品名称不含 level 关键词（年包、单季度包等），但 goods_id 可唯一映射 - goods_id=31 历史上从「瓦拉英语level2」更名为「瓦拉英语年包」 - goods_id=32 从「瓦拉英语level2·单季」更名为「瓦拉英语单季度包」 - 用 `bi_user_course_detail` 验证了映射关系准确 - **最终方案：** 按 goods_id 映射 - L1: goods_id IN (57, 60, 63) - L2: goods_id IN (31, 32, 33, 54) - L1+L2: goods_id = 61 - 旧版通行券（<30单）: goods_id IN (4,5,6,10,13,14,17,20,25,29,30,35,36,37,38)，归入「其他」 - **用户分类：** 汇总用户所有订单的 goods_id，按购买商品组合判断 - **已更新：** MEMORY.md",
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"snippet": "## 行课记录批量查询 (1676条) [陈逸鸫 请求, 李承龙 确认权限] - 表格: https://makee-interactive.feishu.cn/sheets/RFIJsXT8FhGHhctY4RwczcOfnac (Sheet1, sheet_id=55b0eb) - 查询列: D列(小溪返回行课记录) + E列(更新时间), C列(请求状态→已返回) - 手机号匹配(column J): 961行有用户ID直接查, 715行无ID需手机号匹配, 匹配成功119个, 596个未匹配 - 数据库查询: 1077个去重用户, 1065有课程分配, 1192个角色有行课记录, 201已付费 - 输出格式: `销售:xxx | 用户:xxx | 当前:{level}{type}-{chapter} | 最近行课:date | 学习{X}min | {付费状态}` - 脚本: scripts/batch_course_record_query.py - 待查询行1676条全部处理完成, 写回成功",
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"snippet": "# 2026-05-22 工作日志 ## 口径讨论与确认 ### 用户激活课程口径 [李承龙确认] - 数据源：`bi_vala_seasonal_ticket`（线上 PostgreSQL `vala_bi` 库） - `season_package_level = 'A1'` → L1, `'A2'` → L2 - `status = 1`（激活），`deleted_at IS NULL` - 不对 `ticket_type` 做限制 - 用户存在至少一条满足条件的记录即视为激活对应等级 - 当前数据：仅L1 503人、仅L2 1,439人、L1+L2 1,095人、合计 3,037人 ### 激活课程维度（character × level）[李承龙确认] - 一个角色 + 一个等级 = 一门被激活的课程 - 通过 `character_id`（即 user_id）直接关联学习记录 - 当前数据：L1 1,574门、L2 2,108门、合计 3,682 课程单位 ## 数据分析结果 ### 激活用户近14天完课分析（2026-05-09~2026-05-22） - 按用户：43.0% 无完课（仅L1 34.3%、仅L2 61.3%、L1+L2 23.9%） - L1+L2用户中82.5%只学了L1、13.5%两个都学、3.9%只学L2 ### 激活课程近14天完课分析 - 按课程：51.1% 无完课（L1 29.9%、L2 66.8%） - 20.9%从未有过完课记录 - 无完课课程最后停在U00~U02：L1 65.0%、L2 53.3% ### 最后完课",
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"snippet": "# 2026-05-28 工作日志 ## [李承龙] stride_phone_lead 表查询与飞书表格创建 - **数据库：** 在线 PostgreSQL `vala_class` 库（新发现的数据库，之前未记录在 TOOLS.md 中） - **表结构：** `stride_phone_lead`（手机号线索表） - 字段：id, phone_masked, phone_encrypt, account_id, source_l1, source_l2, source_l3, created_at, updated_at - 索引：主键(id), 唯一(phone_encrypt), 普通(account_id, source_l3, updated_at) - phone_encrypt 有唯一约束用于手机号去重 - **权限：** `ai_member` 用户最初对该表无 SELECT 权限，李承龙临时授权后可用 - **vala_class 库中 ai_member 可读表：** account_wx_id, parent_address, user_info, student_info, stride_phone_lead（共5张） ## [李承龙] stride_phone_lead 飞书表格 - **飞书表格：** https://makee-interactive.feishu.cn/sheets/TWeHsCX6JhhsjntBagHcoJcJned - **Sheet 配置：** - 明细数据 (2dBSrS)：全量明细 -",
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"snippet": "- 按source_l3去重 (1X5g5z)：按 source_l3 维度 account_id 去重计数 ## [李承龙] stride_phone_lead 定时更新 - **定时任务：** 每天 08:00 自动更新飞书表格 - **脚本：** `scripts/update_stride_phone_lead_sheet.py` - **日志：** `/var/log/xiaoxi_stride_phone_lead.log` - **crontab 已添加** ✅ ## 技术备注 - lark-cli 的 `config bind` 在 Linux 上 keychain 损坏，改用飞书 Open API + curl/Python 直接调用 - 飞书 Bot 凭证（小溪）：appId=cli_a929ae22e0b8dcc8, secret 见 secrets.env - `vala_class` 数据库需要补充到 TOOLS.md 和 MEMORY.md 中",
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"snippet": "# 2026-06-01 ## 加微判断逻辑明确 [李承龙确认] - 加微分两种：加班主任微信（购课用户）和加销售微信（注册用户，暂无数据） - 通过 `bi_vala_app_account.tel_encrypt` 关联 `stride_contact_bindings.tel_encrypt` 判断用户是否已加班主任微信 - 匹配上 = 已加微，匹配不上 = 未加微 - **加班主任微信率 = 加班主任微信人数 / 购课人数 × 100%**（分母为有支付成功订单的非测试账号去重用户数） - 两表分属 `vala_bi` 和 `vala_class` 不同数据库，需应用层做交集匹配 - 验证脚本：`scripts/check_wechat_binding.py` - 当前数据：28,633 非测试账号中已加微 1,247 人（4.36%） - 已写入 MEMORY.md 长期记忆",
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"snippet": "- 口径 = MEMORY.md 中所有计算逻辑、数据口径、指标定义、字段映射、判定条件、统计方法 - 唯一审批人：李承龙 - 禁止根据群聊讨论直接修改口径 - 禁止自行推断或\"修正\"已有口径 - 正确流程：发现问题 → 向李承龙确认 → 明确同意 → 方可修改 - 说明：数据查询本身按 USER.md 权限规则执行，不需要审批；本规则仅约束 MEMORY.md 中口径/计算逻辑的变更 ## 渠道归类补充 [王虹茗 2026-06-01 22:38] - 抖音精选 → 直购渠道 - 万物（newmedia-dianpu-wwxx-0-0）→ 达人渠道 - 合作活动是班主任 → 直购渠道 - ⚠️ 待李承龙确认后更新到 MEMORY.md 渠道映射规则",
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"snippet": "# 2026-06-02 工作日志 ## 微伴线索更新 - [陈逸鸫] 提供微伴导出数据，更新6/1-6/2线索 - 映射确认：益达老师 = 小龙 - 写入结果：小龙表+50条（6/1 25+6/2 25），吴迪表+15条（6/1） - ⚠️ 首次写入时重复了（小龙24行+吴迪2行），已清理 - 每日线索汇总已修正：6/1 小龙25 吴迪15 / 6/2 小龙25 ## Tom/Bob 6月不接小红书线索 - [陈逸鸫] 告知 Tom 和 Bob 6月开始不接小红书线索了 - 微伴数据确认6/1-6/2 Tom/Bob 新增为0 ## 订单汇总 2smjwA 全量覆盖进展 - Cursor 确认方案：数据库 bi_vala_order 为唯一源，全量覆盖 2smjwA - 数据库匹配到 390 单（销转团队线索关联），按月：3月88/4月158/5月138/6月6 - 看板去重后 406 单，差异 40 单已分类： - 有uid无订单 8单 - 金额对不上 6单 - 未注册用户 10单 - 昵称为空 2单 - 2025年订单 6单（不纳入） - 重复录入 1单（孙婧） - 已有但key比对误差 7单 - 26 单待杨羽确认，清单已发群 - 闸门：杨羽确认 → v2 数据 → 备份→清空→覆盖→挂定时 ## 看板全量审计 - 13 张 sheet 全部扫完，公式引用正确，无硬值 - Cursor 补修：关键投放数据 Row131 裸IF包IFERROR、销售结算 M1/M2 废弃清空、每日线索月合计行金色",
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|
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|
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|
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|
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|
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|
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"snippet": "# 2026-06-03 工作日志 ## 端内析出leads数据表格 - **表格链接：** https://makee-interactive.feishu.cn/sheets/FA3xsw3kph4pdatKlUrcyPgInAc - **Sheet：** 曲慧萌（7f0e35）、吴迪（1K3O6s）、统计（scyF3H） - **脚本：** `scripts/fill_leads_sheet.py` - **触发暗号：** 「跑一下端内销售数据」 - **流程：** 读取手机号 → XXTEA加密匹配 account_id → 回填注册日期/转化/退费/U0完成日期 → 汇总统计 sheet - **统计口径（李承龙确认）：** - 转化率 = 未退费转化leads / 总leads - 退费率 = 退费leads / 已转化leads - 完成率 = 完成该课的leads / 总leads - **注意：** C列（析出日期）由销售手动填写，脚本不覆盖；统计值写小数配合百分比格式 - **端内渠道：** app-active-h5-0-0、app-sales-bj-qhm-0、app-sales-bj-wd-0（新增吴迪渠道） ## 权限变更 - 曲慧萌（8c654e1e）和吴迪（3561c777）加入 USER.md 第一级完整权限用户 - 许悦权限调整为：除GMV/GSV/退款等金额相关数据外的全部业务数据 - 表格编辑权限已授予李承龙、曲慧萌、吴迪 ## SkillHub 同步 - 16:40 推送 3 个技能：phone-chapter-que",
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"scripts/fill-leads-sheet.py",
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"account-id",
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"回填注册日期/转化/退费/u0完成日期",
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"app-active-h5-0-0",
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"app-sales-bj-qhm-0",
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"app-sales-bj-wd-0",
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"user.md",
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"除gmv/gsv/退款等金额相关数据外的全部业务数据"
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"snippet": "- 抖音+联报退费率最高49.2%（也是最大组合124单） - **分析脚本：** `scripts/channel_lead_refund_analysis.py` ## 王虹茗 - V2修正：纳入多角色因素 - **反馈：** 指出 Sheet2 一个用户可能创建多个角色，要求重新分析 - **关键修正：** - 按用户聚合时保留角色数量、创建节奏、行课覆盖等信息 - 行课行为以\"任一角色完成即算\"聚合 - **新增发现：** - 1个角色退费率46.7% > 2个角色34.8% > ≥4个角色28.6%（角色越多退费越低） - 同日多角色45.7% vs 1周以上多角色28.6%（跨时间创建=持续使用信号） - 全角色无行课退费率75.9%（最高危） - 1角色+无行课=76.0%（最危险组合），≥4角色+有行课=16.7%（最安全） - **输出文件：** `output/渠道4-5月线索_退款相关性分析_v2_20260519_202711.xlsx`（20个维度+明细） - **分析脚本：** `scripts/channel_lead_refund_analysis_v2.py`",
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"2个角色34.8",
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"4个角色28.6",
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"同日多角色45.7",
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"1周以上多角色28.6",
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"全角色无行课退费率75.9",
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"76.0"
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