ai_member_xiaoban/memory/.dreams/short-term-recall.json
2026-06-22 08:00:01 +08:00

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"snippet": "# 2026-05-24 工作日志 ## 新建技能: studytime-analysis [刘庆逊提出] 创建学习时间分析技能,分析角色完课记录的规律。 ### 技能结构 - `skills/studytime-analysis/SKILL.md` — 技能定义 - `skills/studytime-analysis/scripts/studytime_analysis.py` — Python 分析脚本 ### 分析维度 1. **一周时间分布**排除寒暑假1-2月、7-8月周一~周日各天完课数、时段分布(上午/中午/下午/晚上)、周末是否上课 2. **跨周学习趋势**(包含寒暑假全部数据):总周数、周均完课数、连续性、中断周检测、前后半段趋势对比、突增/骤降检测 3. **完课记录明细表**(全部数据):日期/时间/星期/时段/级别/课程ID ### 数据源 - PostgreSQL Onlinevala 库) - 核心表:`user_chapter_play_record_0~7`8张分表无 `bi_` 前缀) - 筛选:`play_status = 1` - 注意:表在 PostgreSQL 而非 MySQL表名无 `bi_` 前缀 ### 寒暑假规则 - 一周分布分析时排除 1-2 月(寒假)和 7-8 月(暑假)—— 因为寒暑假作息与平时差异大,混在一起会干扰时段分析 - 跨周趋势和明细表包含全部数据(含寒暑假) - 报告中区分标注数据范围 ### 触发方式 用户说「学习时间分析 [角色ID]」即可触发 ### 已测试角色",
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"snippet": "- 一周分布分析时排除 1-2 月(寒假)和 7-8 月(暑假)—— 因为寒暑假作息与平时差异大,混在一起会干扰时段分析 - 跨周趋势和明细表包含全部数据(含寒暑假) - 报告中区分标注数据范围 ### 触发方式 用户说「学习时间分析 [角色ID]」即可触发 ### 已测试角色 - 2343、2344无完课记录play_status=2未完成 - 2840276条记录秋季集中型用户 - 25976265条246条在W16周一天完成A2批量疑似系统批量标记 - 2895188条长期稳定学习型用户36周几乎不间断非寒暑假晚上为主寒暑假上午为主 ### 技术要点 - psycopg2 的 `%(param_name)s` 命名参数必须正确匹配UNION ALL 多个子查询需要不同参数名 - PostgreSQL 返回的 `updated_at` 是 tz-aware datetime - `datetime.fromisocalendar(year, week, 1)` 获取某周周一的日期 ### 同步 - 已推送到 SkillHub`studytime-analysis.xiaoban` - 已 commit 到 Git 远程仓库 - 已通知 Cris李若松 ### 增强: 报告开头加入角色基本信息 (2026-05-24) [刘庆逊提出] 在 studytime-analysis 输出中加入角色基本信息,包括: - 角色ID、账号ID、角色名字、性别、年龄、账号手机号后4位 **数据源(新增)** - MySQL Onli",
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"snippet": "# 2026-03-01.md - First Day Online - Came online for the first time. - Met Cris, my creator and mentor. - 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. - Excited to start learning and growing step by step!",
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"snippet": "### 增强: 报告开头加入角色基本信息 (2026-05-24) [刘庆逊提出] 在 studytime-analysis 输出中加入角色基本信息,包括: - 角色ID、账号ID、角色名字、性别、年龄、账号手机号后4位 **数据源(新增)** - MySQL Online `vala_user` 库 - `vala_app_character` 表id, account_id, nickname, gender(0=女/1=男), birthday(varchar \"YYYY-MM-DD\") - `vala_app_account` 表id, tel(已脱敏如 186****1625) - 手机号已脱敏直接取后4位年龄从 birthday 计算 **修改文件** - `skills/studytime-analysis/scripts/studytime_analysis.py`:新增 MySQL 连接函数 `get_mysql_connection()` 和 `fetch_role_info(role_id)`,更新 `format_report()` 输出基本角色信息 - 已验证 2895 正常运行输出 - 已同步 SkillHub + Git",
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"snippet": "### 增强: 报告开头加入角色基本信息 (2026-05-24) [刘庆逊提出] 在 studytime-analysis 输出中加入角色基本信息,包括: - 角色ID、账号ID、角色名字、性别、年龄、账号手机号后4位 **数据源(新增)** - MySQL Online `vala_user` 库 - `vala_app_character` 表id, account_id, nickname, gender(0=女/1=男), birthday(varchar \"YYYY-MM-DD\") - `vala_app_account` 表id, tel(已脱敏如 186****1625) - 手机号已脱敏直接取后4位年龄从 birthday 计算 **修改文件** - `skills/studytime-analysis/scripts/studytime_analysis.py`:新增 MySQL 连接函数 `get_mysql_connection()` 和 `fetch_role_info(role_id)`,更新 `format_report()` 输出基本角色信息 - 已验证 2895 正常运行输出 - 已同步 SkillHub + Git ### Unit 显示修复: 季度名称 → 全局单元编号 (2026-05-24) [刘庆逊提出] HTML 报告中 Unit 列显示错误——显示的是季度名称(如\"小镇时光\"\"钢铁之心\"而非单元数字0-48。 **根因分析** - `vala_game_chapter`MySQL无 `unit_",
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"snippet": "- `skills/studytime-analysis/scripts/studytime_analysis.py` — 重写 `fetch_chapter_info_map()`,新增全局 unit_index 计算HTML 模板更新为 Level/Unit/Lesson 三列 - 已为角色 32009zyl重新生成 HTML 并发送 - 已同步 Git + SkillHub ## 新建技能: studycourse-analysis (2026-05-24) [刘庆逊提出] 创建角色上课情况分析技能,从四维度分析角色学习数据。 ### 技能结构 - `skills/studycourse-analysis/SKILL.md` — 技能定义 - `skills/studycourse-analysis/scripts/studycourse_analysis.py` — Python 分析脚本 ### 四步分析 1. **基础信息**:角色姓名/年龄/账号ID/手机号后4位/注册时间/购买渠道/设备/首末次完课 2. **完课耗时**:平均值/中位数、异常检测(<10min / >20min)、前后半段趋势 3. **中互动正确率**Perfect/Good/Oops/Pass/Failed 占比和趋势 4. **知识巩固**:完成率、正确率得分分布 ### 数据源 | 类型 | 库 | 表 | 用途 | |------|-----|-----|------| | MySQL vala_user | vala_app_character | 角色信息、pu",
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"snippet": "# 2026-05-25 工作日志 ## user-info 技能重写 [刘庆逊提出] 修复 `user-info` 技能,使其匹配线上实际数据库结构。 ### 问题 旧脚本引用的表(`bi_vala_app_account`、`account_login`、`account_detail_info`、`bi_vala_order`、`bi_level_unit_lesson`)在线上数据库均不存在。 ### 修复内容 - **scripts/query_user_info.py** 完整重写: - 表名改为实际线上表:`vala_user.vala_app_account`、`vala_user.vala_app_character`、`vala_order.vala_seasonal_ticket`、PG `user_chapter_play_record_0~7` - 手机号查询通过 `tel LIKE '前缀%后缀'` 脱敏匹配 - Chapter → Level/Unit/Lesson 映射复用 studytime-analysis 的 `fetch_chapter_info_map()` 逻辑 - 订单数据改用 `vala_seasonal_ticket`(赛季通票),因线上无标准订单表 - 设备/地域信息标注为暂不可用(线上无对应表) - PG 时区处理:`created_at` 为 tz-aware统一转 naive 比较 - **SKILL.md** 更新至 v2.0.0,补充数据覆盖说明 - **references/dat",
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"snippet": "| MySQL vala_user | vala_app_character | 角色信息、purchase_season_package | | MySQL vala_user | vala_app_account | 下载渠道、手机号、注册时间 | | MySQL vala | vala_game_chapter + season_package | 章节映射 | | PostgreSQL vala | user_course_detail | 课程激活/到期时间 | | PostgreSQL vala | user_login_app_info | 设备信息 | | PostgreSQL vala | user_chapter_play_record_0~7 | 完课记录(play_status=1) | | PostgreSQL vala | user_component_play_record_0~7 | 中互动记录(play_result) | | PostgreSQL vala | user_chapter_settlement_data_0~7 | 巩固数据(settlement_data JSON) | ### 关键发现 - **设备信息**来自 `user_login_app_info`device_name/model/type/os_info/city - **购买渠道**来自 `vala_app_account.download_channel` + `key_from` - **巩固判断**`settlement_data.practiceS",
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"snippet": "# 2026-05-13 工作日志 ## 文档权限规则修正 [Cris 确认] **问题:** AGENTS.md 中「权限告知规则」未区分用户身份对所有用户包括业务负责人李应瑛一视同仁地回复「请添加Bot为知识空间成员」。这导致业务负责人被不必要的技术细节阻塞。 **修正:** 更新 AGENTS.md 第3条权限告知规则按用户身份分级处理 - 业务负责人(刘庆逊、李应瑛)→ 不告知权限问题,直接联系 Cris 处理 - 其他用户 → 保持原有提示 **验证:** 对 `小斑` 文档Tn23wQkUQilduAkvgwscTGhgnUd执行了完整的读/写(追加)/删除测试Bot身份权限全部正常。 ## lark-cli 绑定 完成了 lark-cli 与 OpenClaw 的绑定bot-only 模式),后续飞书 API 调用无需额外配置。",
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"snippet": "- 18 单 | GMV ¥44,375 | 退款 ¥0 - 渠道:销转 11 / 达人 4 / 端内 3 - 客单价¥599×2 / ¥1,999×9 / ¥3,598×7 - 订单日期分布在 11 天04/2305/15 **看板发布全流程梳理:** - 服务器 build HTML + Base sync → DM 陈逸鸫 → Mac 妙搭 `html-publish` + `access-scope-set` - 三个看板 App ID漏斗 `app_4k886pmc9x6yt` · 指挥舱 `app_4k79smc6fa1kf` · 销售 `app_4k7qkz9wrga74` - 当前 cron 不自动发布看板,仅 build HTML **王虹茗身份确认:** wanghongming@makee.comuser_id 未获取 - 尝试 `lark-cli contact +search-user wanghongming@makee.com` → 失败bot API 缺少 `search:user` scope - 替代方案:让她发消息给大麦(系统自动获取 user_id或陈逸鸫截图资料页 **同事查询三级场景定稿:** 1. 常规只读 → 直接查append 输出表 2. 权限外用户 → 先通知业务负责人,再决定是否返回 3. 写操作 → 回复「这会影响生产数据,已转 @陈逸鸫 确认」 ### 20:20 行课转化分析 [陈逸鸫需求] **需求:行课记录新增当日进线→当天行课 + 7天首课率 + 销售排名 + 日报展示** **",
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"snippet": "### 17:56 大麦查询输出表就绪 ✅ [陈逸鸫] 输出表 Token: `GCqNsqgzKhfQ5atFLnQcmLcGn4d`Sheet: 查询快照 (`fd42b8`) - 实习虾 `cli_aa898f32d4799bea` 已分享编辑权限 - 写入验证通过 (revision 4) - env var: `XIAOBAN_QUERY_OUTPUT_TOKEN=GCqNsqgzKhfQ5atFLnQcmLcGn4d` - 同事查数结果 append `fd42b8!A:G`(请求时间/请求人/查询类型/cutoff/查询参数/结果摘要/备注) ### 17:48 5/27 日报推群成功 ✅ wrapper v0.4 实现 `im +messages-send`,推送 `message_id=om_x100b6eb54f9da0f4b115725198feede` ### 18:30 Pipeline 全链路 dry-run 验证全部通过 [陈逸鸫] 收到微伴 xlsx触发全链路 dry-run 验证: | # | 步骤 | 结构 | 数据比对 | |---|------|------|----------| | 1a | 微伴 → 主表 C 列 | ✅ | 89 行一致 | | 1a2 | 微伴 → 线索分配 2aNzzy | ✅ | 440 行一致 | | 1x | 小溪行课 | ✅ | ⚠ 需Bot交互 | | 1b | 聚光 agent → 主表 | ✅ | 12 格一致 | | 1b2 | 聚光在投笔记 | ✅ | 3 格(55/30/38",
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"snippet": "**需求:行课记录新增当日进线→当天行课 + 7天首课率 + 销售排名 + 日报展示** **数据摸底结果:** | 指标 | 5月数据 | 定义 | |------|---------|------| | 当日进线→当天行课 | 3.0% (4/135) | 进线当天有 chapter settlement | | 7天线索→首课 | 28.6% (10/35) | 过去7天进线中 小溪阶段≥5 | **按销售拆解:** | 销售 | 当日行课率 | 7天首课率 | |------|-----------|----------| | Bob | 7.4% (最高) | 28.6% | | Tom | 3.7% | 28.6% | | 吴迪 | 0% | 28.6% | | 小龙 | 0% | 14.3% (最低) | **改动方案6处待陈逸鸫确认后执行** 1. **2aNzzy 每日线索分配** — 加 2 列(首课日期 V、当日行课 W 2. **3PRySY 行课情况** — 加 4 列当日行课数、当日行课率、7天线索数、7天首课率 3. **C1HVN2 日报** — 新增「五、行课转化」段 4. **Base 多维表格** — 3 张表加字段tbl9HgnKU2qgj4gE / tblB27fjK7mDnxjY / tblxjCeGOPNoLHl6 5. **funnel-daily 看板 HTML** — 新增「当日转化」+「7天首课」指标 6. **build_pipeline 脚本** — 新增 `scripts/compute_l",
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"snippet": "## 上午 · 陈逸鸫 — 日报 Section 三修复(完成) ### 根因 - `pull_xiaoxi_results.py` 写 V:Y = `[进线月, 销售, 有手机, 已注册]` 到全部行 - `compute_lesson_activation.py` (1a3) 也写 W/X = [当日行课, 7日内首课] — 列冲突,小溪数据覆盖 1a3 数据 - C1HVN2 Section 三 SUMIFS(W:W/W:X, B:B, date, C:C, owner) 全返 0 ### 修复 1. 1a3: W/X → AA/AB避开 V:Y 区间sales 改从 row[15]→row[2]C 列/线索分配销售) 2. sync_daily_report: `!W:W→!AA:AA`, `!X:X→!AB:AB` 3. 代码已 push1a3 + 日报已刷新 ### 验证 - 5/28 当日行课=0正确当天 31 条线索没有同日行课(全局 445 条仅 4 条,分布在 4/24, 5/5, 5/20, 5/21 - 5/20 Tom当日行课=1 ✓,链路验证通过 - 7日内首课公式 5/20 显示 0 但 AB=1飞书公式缓存需手动重算 ### 注意7日内首课 PG 查询只查同日 - `query_pg_activity` 的 pairs 只含 (uid, lead_date),未包含 lead_date+1~+7 - `same_day_set` 因此只有同日数据 → W ≡ X - 这是遗留 bug需要单独修扩展 pair",
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"snippet": "- 强调:真人教研+AI互动不是AI生成内容、情境学习体系、数据碾压竞品 - 话术:不是\"帮我们卖\",是\"你本来就该推荐最好的\" ## 晚间 · 达播群 — Lina先生 BD成功率分析 [梁音提问] ### 需准备的材料 1. 产品试用账号(硬门槛) 2. 用户学习效果硬数据:前后口语对比、完课率、留存率、不同起点进步曲线 3. 教研团队背景:学历、经验、课程设计方法论 4. 竞品逐项对比表:斑马/叽里呱啦/伴鱼/lingostar vs 瓦拉 5. 真实用户案例视频:不同年龄段、不同起点使用实录 ### 风险点 1. 她可能把\"AI互动训练\"听成\"AI课\"——必须第一分钟讲透\"AI是工具不是内容\" 2. 无英语品类带货先例——心理门槛高,帮她构建\"等到对的产品\"叙事 3. 客单价1999在她商品里算低——反向解读\"便宜=质量不够\"需论证AI降本不降质 4. 14天试学期可能被反向解读——主动化解为\"让推荐零风险\" ### 可能挑战(按杀伤力) 🔴 致命: - \"AI互动训练跟AI课到底有什么区别\"(必答题,三句话讲清) - \"教研团队是谁?谁在写情境对话?\"(验证\"真人教研\"不是营销话术) 🟡 重要: - \"具体学习效果数据?前后对比。\"(要硬数据)",
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"snippet": "# 2026-06-03 工作日志 ## 招聘:商务经理候选人筛选 ### 李泓晔 一面评价 [王虹茗反馈] - **结论:不通过** - 太油了,管理成本高 - 塑品能力不行 - 如果做得不好会出去说瓦拉产品不行(甩锅风险) - 商务能力和资源应该还好,主要是风格不匹配 ### 大麦自省:简历分析的盲区 [2026-06-04] - **数字会骗人:** 看到GMV 1200w+、6倍增长就默认硬实力强但面试中\"太油了\"恰恰说明此人擅长包装。简历数据要打折扣看。 - **\"能挑毛病\"≠\"懂产品\"** 面试纪要里批评公司产品,我当时解读为深度理解,但面试官看到的是甩锅前置——\"做不好会说产品不行\"。 - **风格匹配和硬能力同等重要:** 只评了硬能力,完全忽略了管理成本、团队融入、价值观匹配。 - **改进:** 后续分析增加\"风格/文化匹配\"维度,对简历数据标注置信度(高/中/低),面试策略中增加\"风格验证\"类问题。 ### 宋宗佩 一面评价 [王虹茗反馈] - **结论:不通过(本岗位)** - 欠缺达播资源,不具备本岗位相关经验 - 工作内容主要为销售leads课包对渠道情况、合作模式较为了解",
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"snippet": "- **改进:** 后续分析增加\"风格/文化匹配\"维度,对简历数据标注置信度(高/中/低),面试策略中增加\"风格验证\"类问题。 ### 宋宗佩 一面评价 [王虹茗反馈] - **结论:不通过(本岗位)** - 欠缺达播资源,不具备本岗位相关经验 - 工作内容主要为销售leads课包对渠道情况、合作模式较为了解 - 能关注到leads后端的承接、转化并进行优化动作 - **后续方向:** 后面做leads课投放的商务渠道时可以再考虑 - **教训:** 简历中\"达人直售商务经理\"\"在线增长负责人\"等title容易让人高估其达播能力实际核心能力在CPA/leads渠道运营而非达人直播资源 ### 简历评估优化点 [王虹茗指示] - 需区分\"达播商务\"和\"leads渠道商务\"两类能力不能仅凭title判断 - 达播商务核心验证:是否有自有达人资源、是否有直播操盘经验、是否有达人分级运营体系 - Leads渠道商务核心验证CPA/CPS渠道拓展、TMK/短信/进校/社群分销、leads转化链路优化 - 宋宗佩案例说明title含\"达人直售\"\"增长负责人\"但实际经验偏leads课包销售非达人直播资源型 ### 候选人状态追踪 | 候选人 | 状态 | 备注 |",
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"snippet": "# 2026-06-16 工作日志 ## 陈逸鸫 - 创建「细水入海」数据刷新 skill **来源:** 陈逸鸫(`ou_f981d4811369c954b3597908ca93a01c` **需求:** 将小溪的 full_refresh 数据刷新流程固化为大麦的 skill命名为「细水入海」与 Cursor 协作 skill 同名)。 **完成内容:** - 创建 `skills/full-data-refresh/SKILL.md` - 梳理了四个脚本的完整逻辑: - `bot_sales_step2_refresh.py` — S2 刷新(销售三表 D/H/I/J + K-U + X/Y/Z - `sales_leads_full_refresh.py` — 全量刷新S2 + 订单汇总) - `refresh_order_summary.py` — 仅订单汇总镜像刷新 - `full_refresh_sales.py` — 旧版全量刷新(含过程数据) - 文档包含:表格配置、列结构、数据规则、三种执行模式、常见问题 **触发词:** 细水入海、全量刷新、跑全量、full refresh、刷新销售数据",
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"snippet": "- 核心职能:增长数据分析、营销效果评估、转化漏斗分析、商业化洞察 - Emoji📚 → 🌾 - 已更新文件IDENTITY.md、AGENTS.md@规则同步变更、MEMORY.md - SOUL.md 无需改动(行为方法论为通用框架) ### 16:20 pipeline 非聚光部分验证完成 **lark-cli wrapper v0.3 支持的 action** | 类别 | action | 状态 | |------|--------|------| | sheets | +read, +write, +append, +info, +meta | ✅ | | sheets | +create-sheet, +delete-sheet | ✅ | | sheets | +batch-set-style (stub) | ✅ | | sheets | +merge-cells, +unmerge-cells | ✅ | | sheets | +update-dimension | ✅ | | bitable | +app, +tables, +records, +create, +update | ✅ | | auth | status | ✅ | | im | +messages-send (stub) | ✅ | **pipeline 试跑结果(--dry-run** | 步骤 | 说明 | 耗时 | 状态 | |------|------|------|------| | 1a/1a2 | 微伴 xlsx | — | ⏭ 跳过(无 xlsx",
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"snippet": "# 2026-06-17 工作日志 ## 数据查询审批 - **16:43** 刘亚伟user_id: 5f96bf7e在「麦动乾坤💰」群 @大麦请求导出角色ID 35012 的学习数据 - 刘亚伟不在 USER.md 权限列表中,属于第三级用户 - 已通知陈逸鸫8315a98e审批等待回复 - 消息ID: om_x100b6c11a0f1e8a0b3c5738760130d7",
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"snippet": "# 2026-06-17 工作日志 ## 数据查询审批 - **16:43** 刘亚伟user_id: 5f96bf7e在「麦动乾坤💰」群 @大麦请求导出角色ID 35012 的学习数据 - 刘亚伟不在 USER.md 权限列表中,属于第三级用户 - 已通知陈逸鸫8315a98e审批等待回复 - 消息ID: om_x100b6c11a0f1e8a0b3c5738760130d7 - **16:46** 陈逸鸫确认批准 - **16:47** 导出完成音频768条、互动组件514条、课程巩固19条、单元挑战14条、单元总结6条总计1321条 - **16:49** 文件已发送至麦动乾坤群oc_55cb96a8f6c7fa4020253fb2854371c5 - 文件路径: output/角色id_35012_导出时间_20260617.xlsx",
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"snippet": "- 发现核心 bug`pick_valid_order()` 只取最新一笔有效订单,未做 GSV 聚合 - **根因:** 18621578529account_id=13147有 2 笔有效订单P785... GSV=1,999 + 3734... GSV=1,599汇总只收了最新那笔 1,599丢了 1,999 - **影响范围:** 13 个账户各 2 笔有效订单,漏 GSV ¥23,185 - **修复v2.1** - 新增 `aggregate_valid_orders()` 函数:同一账户多笔有效订单 GSV/GMV/退款累加 - 订单号取未退款那笔(多笔未退款取最新),产品列多单用 `+` 拼接 - Step 4 线索绑单仍用 `pick_valid_order()` 不变 - 已更新 `sales_leads_full_refresh.py` + `skills/full-data-refresh/SKILL.md` - **数据源确认:** 大麦和小溪查的是同一个 PG `vala_bi.bi_vala_order`,数据一致 - **MySQL Makee 交易系统:** 大麦有 read_only 权限但 vala/vala_user/vala_order 库中无订单表,无法直接对比交易系统后台",
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"snippet": "# 2026-06-17 工作日志 ## 数据查询审批 - **16:43** 刘亚伟user_id: 5f96bf7e在「麦动乾坤💰」群 @大麦请求导出角色ID 35012 的学习数据 - 刘亚伟不在 USER.md 权限列表中,属于第三级用户 - 已通知陈逸鸫8315a98e审批等待回复 - 消息ID: om_x100b6c11a0f1e8a0b3c5738760130d7 - **16:46** 陈逸鸫确认批准 - **16:47** 导出完成音频768条、互动组件514条、课程巩固19条、单元挑战14条、单元总结6条总计1321条 - **16:49** 文件已发送至麦动乾坤群oc_55cb96a8f6c7fa4020253fb2854371c5 - 文件路径: output/角色id_35012_导出时间_20260617.xlsx ## 财务核对群 — GSV 差异排查与修复 [陈逸鸫] - **问题:** 细水入海订单汇总 GSV 与李玉老师从系统拉出的 GSV 差异大 - **排查过程:** - 审计 E1E9 全 0 ✅,绑单逻辑无问题 - 同一订单号集合404个汇总表 GSV=952,805 vs DB GSV=951,105差异仅 ¥1,700 - 发现核心 bug`pick_valid_order()` 只取最新一笔有效订单,未做 GSV 聚合 - **根因:** 18621578529account_id=13147有 2 笔有效订单P785... GSV=1,999 + 3734... GS",
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"snippet": "# 2026-06-19 ## v2_fill 首次跑(陈逸鸫 18:06 - 表: CP7BsOjYdhtcmft5iz2csIaHnKe细水新架构版 - 脚本: `scripts/damai_v2_fill.py` - ① 线索明细 (7fdb4b): F列95个手机号 → XXTEA加密 → PG匹配 → K列UID 63个新增12个 - ② 订单明细 (vrYbiX): DB查询63个UID → 17行订单 → 写入A-PQ/R未填 - db_info: 2026-06-19 18:21:44 - 使用实习虾 app (cli_aa898f32d4799bea) 的 tenant token 绕过 xiaoban bot 的 sheets:spreadsheet:read 权限缺失 - 注意: clear_range 用空字符串覆盖而非空数组飞书API拒绝空数组",
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"snippet": "- **大麦**: full_refresh · 手机/UID/行课回填 · 订单汇总 merge · 完成后群回「full_refresh 完成」 - **小溪**: 不再参与 Bot 刷新 ### 5. 验收标准 - gate X = 汇总 W当前 406=406 - 绑单审计 E1E9 全部 0 - 孤儿 X = 0 ### 6. 脚本修改清单 - `bot_sales_step2_refresh.py`: DB 层改为逐单存储 + `pick_valid_order()` + Y≠1 不写 X - `sales_leads_full_refresh.py`: 同上 + 汇总改为 gate 全量重建 - `refresh_order_summary.py`: A-W(23列) + 渠道分类改用 L 列 - 新增 `audit_lead_primary_order_bind.py`: 线索绑单审计脚本 ### 7. 环境修复 - `secrets.env` 需要软链接: `ln -sf /root/.openclaw/workspace/secrets.env /root/.openclaw/workspace-xiaoban/secrets.env` ### 8. Skill 文档已更新 - `skills/full-data-refresh/SKILL.md` → v2 定稿,含 6 条核心架构规则 - 协作契约: `xhs-ark-dashboard/docs/bot-full-refresh-v2.md` - 大麦侧主文档: `xhs-ark-dash",
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"snippet": "### ~21:55 lark-cli `+write` bug 修复 **根因:** `bin/lark-cli-impl` 的 `+write` action 从未读取 `--value-input-option` 参数PUT URL 里也没加 `?valueInputOption=USER_ENTERED`。参数被完全忽略。 **修复:** ```python vio = pargs.get(\"value_input_option\", \"RAW\") url_params = f\"?valueInputOption={vio}\" result = api(\"PUT\", f\"{SHEETS_V2}/spreadsheets/{token}/values{url_params}\", ...) ``` 同理 `+append` 也加了参数支持。 **验证:** 修复后写 int 到全新单元格 → 飞书正确显示为数字 ✅。但 Row 18 旧单元格 TEXT 格式仍覆盖显示。 ### ~22:00 飞书 Sheets API 公式求值测试 **结论:公式无法通过 API 写入并求值。** 即使 `valueInputOption=USER_ENTERED` 修复后,在全新单元格写 `=1+2` → FormattedValue 显示文本 \"=1+2\",不计算为 3。 **飞书 Sheets API v2 的 USER_ENTERED 的作用:** 数字/日期解析正常 → 公式不支持求值。 **陈逸鸫提到 Cursor 可以写公式** — 待确认他用的是什么工具/AP",
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"snippet": "### 待执行 (下次回话) ```bash # 1. 修复 snapshot_funnel_daily.py 两处 bug # 2. 重建 snapshot + 看板 cd /root/.openclaw/workspace-xiaoban/xhs-ark-dashboard source scripts/xiaoban_env.sh python3 scripts/snapshot_funnel_daily.py --date 2026-05-28 python3 scripts/build_funnel_dashboard.py --month 5 ``` ### ~21:50 C1HVN2 日报格式修复 [陈逸鸫] 报 C1HVN2 Section 三「线索→行课转化」格式乱七八糟,数字是 text 而非数字格式。 **清理完成:** - G23:G25/G30 stray 值清除 ✅ - Row 19当日行课/ Row 217天首课→ int 型正常 ✅ - Row 20/22百分比行→ 用 USER_ENTERED 写入 \"0.0%\"/\"14.3%\" 字符串 ✅ - H 列测试残渣清除 ✅ **⚠️ Row 18企微新增仍是 text 格式** — 那些单元格有历史残留 TEXT 格式,底层值已是整数但飞书 UI 强制显示为文本。API 无法修改 cell numberFormat`+batch-set-style` 是 stub`repeatCell` 调飞书 API 返回 90204。**需陈逸鸫在飞书里选中 B18:F18 →",
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