diff --git a/logs/backup.log b/logs/backup.log index 25b014d..9794fde 100644 --- a/logs/backup.log +++ b/logs/backup.log @@ -549,3 +549,11 @@ To https://git.valavala.com/ai_member_only/ai_member_xiaoban 7a5493b..bc12534 master -> master [2026-06-08 08:10:01] 工作区备份成功：自动备份 2026-06-08 08:10:01 [2026-06-09 08:10:01] 开始备份工作区... +[master db98dfe] 自动备份 2026-06-09 08:10:01 + 2 files changed, 1 insertion(+), 3 deletions(-) + delete mode 100644 tmp_daily_summary.md +remote: . Processing 1 references +remote: Processed 1 references in total +To https://git.valavala.com/ai_member_only/ai_member_xiaoban + bc12534..db98dfe master -> master +[2026-06-09 08:10:02] 工作区备份成功：自动备份 2026-06-09 08:10:01 diff --git a/memory/.dreams/events.jsonl b/memory/.dreams/events.jsonl index 1a83f86..7543237 100644 --- a/memory/.dreams/events.jsonl +++ b/memory/.dreams/events.jsonl @@ -59,3 +59,17 @@ {"type":"memory.recall.recorded","timestamp":"2026-06-05T09:38:27.988Z","query":"简历分析 匹配度 达人 商务 BD","resultCount":4,"results":[{"path":"memory/2026-06-02.md","startLine":1,"endLine":32,"score":1},{"path":"memory/2026-06-02.md","startLine":30,"endLine":47,"score":1},{"path":"memory/2026-05-28.md","startLine":551,"endLine":580,"score":1},{"path":"memory/2026-05-28.md","startLine":530,"endLine":557,"score":1}]} {"type":"memory.recall.recorded","timestamp":"2026-06-08T07:18:11.556Z","query":"张先生 简历 面试 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分析","resultCount":6,"results":[{"path":"memory/2026-05-28.md","startLine":223,"endLine":245,"score":1},{"path":"memory/2026-05-28.md","startLine":54,"endLine":77,"score":1},{"path":"memory/2026-05-28.md","startLine":412,"endLine":435,"score":1},{"path":"memory/2026-05-28.md","startLine":31,"endLine":60,"score":1},{"path":"memory/2026-05-28.md","startLine":389,"endLine":418,"score":1},{"path":"memory/2026-05-28.md","startLine":199,"endLine":227,"score":1}]} diff --git a/memory/.dreams/short-term-recall.json b/memory/.dreams/short-term-recall.json index db6ce24..291bbfa 100644 --- a/memory/.dreams/short-term-recall.json +++ b/memory/.dreams/short-term-recall.json @@ -1,6 +1,6 @@ { "version": 1, - "updatedAt": "2026-06-08T07:18:30.476Z", + "updatedAt": "2026-06-09T09:31:49.829Z", "entries": { "memory:memory/2026-05-24.md:1:30": { "key": "memory:memory/2026-05-24.md:1:30", @@ -9,13 +9,13 @@ "endLine": 30, "source": "memory", "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 Online（vala 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", - "recallCount": 11, + "recallCount": 14, "dailyCount": 0, "groundedCount": 0, - "totalScore": 11, + "totalScore": 14, "maxScore": 1, "firstRecalledAt": "2026-05-24T02:48:04.923Z", - "lastRecalledAt": "2026-06-04T06:15:19.877Z", + "lastRecalledAt": "2026-06-09T07:41:52.760Z", "queryHashes": [ "c2d15f7574fb", "9aff8ec9594a", @@ -27,7 +27,10 @@ "2d6e2b982050", "c4fd4a35d234", "5ddc1dd44640", - "6a6f5ebef318" + "6a6f5ebef318", + "4119a1f11f68", + "6e3a2daa0a9f", + "5d71b876843a" ], "recallDays": [ "2026-05-24", @@ -35,7 +38,8 @@ "2026-05-27", "2026-05-29", "2026-06-02", - "2026-06-04" + "2026-06-04", + "2026-06-09" ], "conceptTags": [ "studytime-analysis", @@ -55,13 +59,13 @@ "endLine": 52, "source": "memory", "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） - 2840：276条记录，秋季集中型用户 - 25976：265条，246条在W16周一天完成（A2批量），疑似系统批量标记 - 2895：188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", - "recallCount": 8, + "recallCount": 11, "dailyCount": 0, "groundedCount": 0, - "totalScore": 8, + "totalScore": 11, "maxScore": 1, "firstRecalledAt": "2026-05-24T02:48:04.923Z", - "lastRecalledAt": "2026-06-08T07:18:30.476Z", + "lastRecalledAt": "2026-06-09T07:41:52.760Z", "queryHashes": [ "c2d15f7574fb", "9aff8ec9594a", @@ -70,7 +74,10 @@ "4bb64400bb44", "5ddc1dd44640", "c5fe8ced03de", - "a70555b22269" + "a70555b22269", + "4119a1f11f68", + "6e3a2daa0a9f", + "5d71b876843a" ], "recallDays": [ "2026-05-24", @@ -79,7 +86,8 @@ "2026-05-29", "2026-06-02", "2026-06-04", - "2026-06-08" + "2026-06-08", + "2026-06-09" ], "conceptTags": [ "1-2", @@ -166,13 +174,13 @@ "endLine": 71, "source": "memory", "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_", - "recallCount": 12, + "recallCount": 18, "dailyCount": 0, "groundedCount": 0, - "totalScore": 12, + "totalScore": 18, "maxScore": 1, "firstRecalledAt": "2026-05-25T05:47:41.388Z", - "lastRecalledAt": "2026-06-04T06:42:21.357Z", + "lastRecalledAt": "2026-06-09T07:42:09.905Z", "queryHashes": [ "9aff8ec9594a", "566b5958861e", @@ -185,7 +193,13 @@ "c0b581bfb144", "4bb64400bb44", "5ddc1dd44640", - "a7be669f4262" + "a7be669f4262", + "c58011801ab5", + "4119a1f11f68", + "6e3a2daa0a9f", + "2282411c62a6", + "5d71b876843a", + "eda50fbbb56d" ], "recallDays": [ "2026-05-25", @@ -193,7 +207,8 @@ "2026-05-28", "2026-05-29", "2026-06-02", - "2026-06-04" + "2026-06-04", + "2026-06-09" ], "conceptTags": [ "studytime-analysis", @@ -213,13 +228,13 @@ "endLine": 110, "source": "memory", "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 32009（zyl）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", - "recallCount": 11, + "recallCount": 15, "dailyCount": 0, "groundedCount": 0, - "totalScore": 11, + "totalScore": 15, "maxScore": 1, "firstRecalledAt": "2026-05-25T05:47:41.388Z", - "lastRecalledAt": "2026-06-04T04:40:51.172Z", + "lastRecalledAt": "2026-06-09T07:42:09.905Z", "queryHashes": [ "9aff8ec9594a", "566b5958861e", @@ -231,7 +246,11 @@ "4bb64400bb44", "2d6e2b982050", "c4fd4a35d234", - "5ddc1dd44640" + "5ddc1dd44640", + "6e3a2daa0a9f", + "2282411c62a6", + "5d71b876843a", + "eda50fbbb56d" ], "recallDays": [ "2026-05-25", @@ -240,7 +259,8 @@ "2026-05-28", "2026-05-29", "2026-06-02", - "2026-06-04" + "2026-06-04", + "2026-06-09" ], "conceptTags": [ "fetch-chapter-info-map", @@ -368,24 +388,29 @@ "endLine": 92, "source": "memory", "snippet": "**根因分析**： - `vala_game_chapter`（MySQL）无 `unit_index` 字段 - `big_map_chapter`（PostgreSQL）有 `unit_index` 字段，但仅包含 A1 数据，且与 `vala_game_chapter` 无直接关联键 - 两者 ID 空间不重叠（big_map: ~1720-2070，game_chapter: ~55-399），UUID 也不匹配 **映射方案**： - 每个 season_package 内，`lesson_type=1` 的章节按 `id` 排序，每 5 个连续章节组成一个单元 - Season 0（序章/L1-U0）：所有章节属于 Unit 0 - Season 1-4：每个 season 有 12 个单元（60 个 lesson 章节） - 全局 unit_index = base_offset(season_of_quarter) + unit_within_season - base_offset: 0→0, 1→1, 2→13, 3→25, 4→37 **关键 Bug**：初版按 `season_of_quarter` 分组时 A1 和 A2 混在一起，因为相同季度值合并了。修复：改为按 `(level, season_of_quarter)` 分组。 **验证结果**： - A1: Unit 0-48（49 个单元），与 big_map_chapter 的 unit_index 范围一致 - A2: Unit 0-49（50 个单元，比 A1 多 1 个） *", - "recallCount": 4, + "recallCount": 8, "dailyCount": 0, "groundedCount": 0, - "totalScore": 4, + "totalScore": 8, "maxScore": 1, "firstRecalledAt": "2026-05-28T09:07:57.953Z", - "lastRecalledAt": "2026-06-04T06:42:21.357Z", + "lastRecalledAt": "2026-06-09T07:41:52.760Z", "queryHashes": [ "c6c7ff4ed75d", "c59410788b42", "9acf19355c6a", - "a7be669f4262" + "a7be669f4262", + "c58011801ab5", + "4119a1f11f68", + "6e3a2daa0a9f", + "5d71b876843a" ], "recallDays": [ "2026-05-28", "2026-05-29", "2026-05-30", - "2026-06-04" + "2026-06-04", + "2026-06-09" ], "conceptTags": [ "vala-game-chapter", @@ -436,13 +461,13 @@ "endLine": 179, "source": "memory", "snippet": "|---|------|------|----------| | 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)一致 | | 1c | 聚光日明细 | ✅ | 137 笔记一致 | | 2b | 客户主表 → 订单 | ✅ | 公式就绪 | | 3 | 日报 C1HVN2 | ✅ | 四段刷新 | | 3a/3c | 口径审计 | ✅ | 推群全过 | | 4a | 结算月汇总 | ✅ | 公式就绪 | **结论：当前表内所有数据与重拉完全一致，零差异，无需刷写。** ### 18:36 小溪行课触发实跑 - 已推 1920 条到小溪查询表（新 Sheet） - 已 @小溪 到小红书数据需求群，请处理 ~5 条待查询记录 - 表格：`RFIJsXT8FhGHhctY4RwczcOfnac` - 等待小溪回填后跑 `pull_xiaoxi_results.py` 回收结果 # 2026-05-28 工作日志 ## 品牌更名与定位升级 [Cris确认] - 姓名：小斑 → **大麦** - 定位：AI班主任 → **增长营销分析师** - 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、AGE", - "recallCount": 8, + "recallCount": 9, "dailyCount": 0, "groundedCount": 0, - "totalScore": 8, + "totalScore": 9, "maxScore": 1, "firstRecalledAt": "2026-05-28T12:29:25.867Z", - "lastRecalledAt": "2026-06-05T00:42:44.093Z", + "lastRecalledAt": "2026-06-09T03:15:16.782Z", "queryHashes": [ "a72168a828c9", "7e2572c3140a", @@ -451,13 +476,15 @@ "82be33d1f911", "c59410788b42", "833509d09ccb", - "918c0cb0b34d" + "918c0cb0b34d", + "a90ba76a41cf" ], "recallDays": [ "2026-05-28", "2026-05-29", "2026-06-01", - "2026-06-05" + "2026-06-05", + "2026-06-09" ], "conceptTags": [ "55/30/38", @@ -522,24 +549,26 @@ "endLine": 152, "source": "memory", "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` ### 待办汇总 1. 📋 陈逸鸫发 `docs/xiaoban-data-boundary.md` §7 Agent 系统提示词 2. 📋 陈逸鸫发 `docs/xiaoban-runbook.md` §2 部署 checklist 3. 📋 建「大麦查询输出」飞书表 → 陈逸鸫提供 token 4. 📋 `~/xhs-tech-dashboard` 仓库 clone → 陈逸鸫提供访问方式 5. ⏳ 全量 pipeline 聚光步骤验证（子进程中） ### 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-r", - "recallCount": 4, + "recallCount": 5, "dailyCount": 0, "groundedCount": 0, - "totalScore": 4, + "totalScore": 5, "maxScore": 1, "firstRecalledAt": "2026-05-28T12:30:30.129Z", - "lastRecalledAt": "2026-06-03T09:41:22.359Z", + "lastRecalledAt": "2026-06-09T03:13:24.211Z", "queryHashes": [ "4596e377d39b", "f139ebdae100", "679cdd7bd3a8", - "f4b858cce704" + "f4b858cce704", + "235546f84d27" ], "recallDays": [ "2026-05-28", "2026-05-29", "2026-06-01", - "2026-06-03" + "2026-06-03", + "2026-06-09" ], "conceptTags": [ "cli-aa898f32d4799bea", @@ -559,20 +588,22 @@ "endLine": 318, "source": "memory", "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` ### 待办汇总 1. 📋 陈逸鸫发 `docs/xiaoban-data-boundary.md` §7 Agent 系统提示词 2. 📋 陈逸鸫发 `docs/xiaoban-runbook.md` §2 部署 checklist 3. 📋 建「大麦查询输出」飞书表 → 陈逸鸫提供 token 4. 📋 `~/xhs-tech-dashboard` 仓库 clone → 陈逸鸫提供访问方式 5. ⏳ 全量 pipeline 聚光步骤验证（子进程中） ### 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-r", - "recallCount": 2, + "recallCount": 3, "dailyCount": 0, "groundedCount": 0, - "totalScore": 2, + "totalScore": 3, "maxScore": 1, "firstRecalledAt": "2026-05-28T12:30:30.129Z", - "lastRecalledAt": "2026-06-03T09:41:22.359Z", + "lastRecalledAt": "2026-06-09T03:13:24.211Z", "queryHashes": [ "4596e377d39b", - "f4b858cce704" + "f4b858cce704", + "235546f84d27" ], "recallDays": [ "2026-05-28", - "2026-06-03" + "2026-06-03", + "2026-06-09" ], "conceptTags": [ "cli-aa898f32d4799bea", @@ -634,13 +665,13 @@ "endLine": 366, "source": "memory", "snippet": "- 448 人有新进展（相比小溪历史快照） - pull → 3PRySY 口径对齐 12/12 ✅ - lesson_cache → C1HVN2 16 格 ✅ - 变化有限（PG=正式课，小溪=体验课，口径不同） - sync_base (4b) → 多维表格 8 张 ✅ 21.2s ### 18:54 漏斗看板发布待解决 - funnel HTML 已构建（scripts/build_funnel_dashboard.py ✅） - 妙搭发布 `apps +html-publish` 需要 `--as user`，bot 模式不支持 - 系统 lark-cli `/usr/local/lib/node_modules/@anthropic/lark-cli` 可能支持 - 待确认：服务器是否已 `lark-cli auth login --as user` ### 19:00 陈逸鸫派 Image2 生图任务 **任务：** L1-S1-U1《秘密基地》5 课投放用小地图底图 - 模型：gpt-image-2 · 3:4 · 2K · 不要文字 - 风格：太阳朋克 + L1 场景 - 5 张 PNG：U1-L1～U1-L5 - FUNCLOUD_API_KEY 在小研 workspace `.env` 中可用（`fc_eea138933b02b4797ce0779ffb637d8b8a6368db7b435dfdab7b4be1cd254d98`） - Brief 文档 `/docx/KsVadUTmooO7yYxHaGmc1R0Bn5b` + 投放手册 `/do", - "recallCount": 10, + "recallCount": 11, "dailyCount": 0, "groundedCount": 0, - "totalScore": 10, + "totalScore": 11, "maxScore": 1, "firstRecalledAt": "2026-05-28T20:51:03.908Z", - "lastRecalledAt": "2026-06-08T07:18:30.476Z", + "lastRecalledAt": "2026-06-09T03:15:16.782Z", "queryHashes": [ "f22544a8757c", "2af907cea93d", @@ -651,14 +682,16 @@ "fbe762c60bc6", "1382c5611b17", "c5fe8ced03de", - "a70555b22269" + "a70555b22269", + "a90ba76a41cf" ], "recallDays": [ "2026-05-29", "2026-06-01", "2026-06-02", "2026-06-03", - "2026-06-08" + "2026-06-08", + "2026-06-09" ], "conceptTags": [ "gpt", @@ -789,13 +822,13 @@ "endLine": 557, "source": "memory", "snippet": "- 妙搭发布 `apps +html-publish` 需要 `--as user`，bot 模式不支持 - 系统 lark-cli `/usr/local/lib/node_modules/@anthropic/lark-cli` 可能支持 - 待确认：服务器是否已 `lark-cli auth login --as user` ### 19:00 陈逸鸫派 Image2 生图任务 **任务：** L1-S1-U1《秘密基地》5 课投放用小地图底图 - 模型：gpt-image-2 · 3:4 · 2K · 不要文字 - 风格：太阳朋克 + L1 场景 - 5 张 PNG：U1-L1～U1-L5 - FUNCLOUD_API_KEY 在小研 workspace `.env` 中可用（`fc_eea138933b02b4797ce0779ffb637d8b8a6368db7b435dfdab7b4be1cd254d98`） - Brief 文档 `/docx/KsVadUTmooO7yYxHaGmc1R0Bn5b` + 投放手册 `/docx/QhYQdz7PvoN7Eaxmhu0c0Q5UnHe` — 均为个人文档，AGENTS.md 规则禁止读取 - 素材库入口：https://llm-dev.valavala.com/web_tools/material_prod --- ### 19:30 同事数据查询流程演练 [陈逸鸫测试] **场景：模拟王虹茗请求小龙 4/21-5/20 订单详情，验证三级查询流程** **小龙订单查询结果（数据源：3wcle8 销售订", - "recallCount": 25, + "recallCount": 27, "dailyCount": 0, "groundedCount": 0, - "totalScore": 25, + "totalScore": 27, "maxScore": 1, "firstRecalledAt": "2026-05-28T20:51:03.908Z", - "lastRecalledAt": "2026-06-08T07:18:30.476Z", + "lastRecalledAt": "2026-06-09T03:13:24.211Z", "queryHashes": [ "f22544a8757c", "82be33d1f911", @@ -821,7 +854,9 @@ "918c0cb0b34d", "715ea8a4f3a6", "c5fe8ced03de", - "a70555b22269" + "a70555b22269", + "ffe9b822f4a2", + "235546f84d27" ], "recallDays": [ "2026-05-29", @@ -830,7 +865,8 @@ "2026-06-03", "2026-06-04", "2026-06-05", - "2026-06-08" + "2026-06-08", + "2026-06-09" ], "conceptTags": [ "gpt", @@ -958,13 +994,13 @@ "endLine": 132, "source": "memory", "snippet": "- HTML 模板使用 f-string 时，CSS 中的 `{` 必须双写 `{{`，且不能在 f-string 内做字符串拼接（会打断 f-string） - 年龄从 birthday（varchar \"YYYY-MM-DD\"）计算，非 DATE 类型 - 手机号在 MySQL 已脱敏（如 186****1625），直接取后4位 ### 已测试角色 - **32009 (zyl)**：26 条完课，651 条中互动(Perfect 82.6%、Good 2.9%)，26 节巩固全部满分。课程 A2，Apple App Store 购买，渠道 newmedia-daren-xhs-宣儿麻麻。设备小课屏E3。学习时间 2026-04-24 ~ 2026-05-24。 ### 同步 - 已推送到 SkillHub（`studycourse-analysis.xiaoban`） - 已 commit 8648b7b 到 Git 远程仓库 - 已通知 Cris（李若松）", - "recallCount": 8, + "recallCount": 9, "dailyCount": 0, "groundedCount": 0, - "totalScore": 8, + "totalScore": 9, "maxScore": 1, "firstRecalledAt": "2026-05-28T20:57:42.055Z", - "lastRecalledAt": "2026-06-03T03:03:56.621Z", + "lastRecalledAt": "2026-06-09T03:15:16.782Z", "queryHashes": [ "f139ebdae100", "f7ae50ae228d", @@ -973,12 +1009,14 @@ "d4b68b0827a0", "f0e8e3da16e8", "fbe762c60bc6", - "1382c5611b17" + "1382c5611b17", + "a90ba76a41cf" ], "recallDays": [ "2026-05-29", "2026-06-02", - "2026-06-03" + "2026-06-03", + "2026-06-09" ], "conceptTags": [ "f-string", @@ -998,22 +1036,25 @@ "endLine": 245, "source": "memory", "snippet": "| 步骤 | 失败原因 | 状态 | |------|----------|------| | 1b（聚光代理商） | `sheet_write` rc=1 → 单格范围问题 | ✅ 已修 | | 1b2（聚光活跃笔记） | 同 1b | ✅ 已修 | | 1c（聚光笔记明细） | `OSError: [Errno 7] Argument list too long` — 3146 行 JSON 超 argv 限制 | ✅ 已修 | | 2b（客户主表→订单明细） | rc=1，但 351 行数据实际已写入；可能 unmerge-cells 步骤失败（非致命） | ⚠️ 待验证 | | 3（日报） | — | ✅ 41s | | 3a（审计） | — | ✅ 25s | | 3c（审计） | — | ✅ 29.4s | | 4a（结算月汇总） | — | ✅ 12.9s | | 4c（指标审计） | — | ✅ 7.3s | | 3d | 代理商数据不一致（数据质量问题，非代码） | ❌ | **三个底层修复：** 1. **stdin 大数据传递**（`metrics_contract.py` `sheet_write`）：当 `data_str > 32768` 字节时通过 `input=` 管道传入 subprocess，绕过 Linux ARG_MAX 2. **单格范围修复**（`bin/lark-cli-impl`）：`a8d375!M70` → 自动补为 `a8d375!M70:M70`，飞书 sheets API 写操作需要完整范围 3. **check_c", - "recallCount": 4, + "recallCount": 6, "dailyCount": 0, "groundedCount": 0, - "totalScore": 4, + "totalScore": 6, "maxScore": 1, "firstRecalledAt": "2026-05-29T02:53:52.924Z", - "lastRecalledAt": "2026-06-04T11:03:25.242Z", + "lastRecalledAt": "2026-06-09T09:31:49.829Z", "queryHashes": [ "d9f1601110da", "117aaedb584d", "c0b581bfb144", - "d24884bfecf1" + "d24884bfecf1", + "50b1cd5a5d08", + "c3aab736911e" ], "recallDays": [ "2026-05-29", - "2026-06-04" + "2026-06-04", + "2026-06-09" ], "conceptTags": [ "sheet-write", @@ -1033,22 +1074,25 @@ "endLine": 77, "source": "memory", "snippet": "**命令：** `pipeline.py --cutoff 2026-05-27 --skip 1a,1a2,1x,2c,4b --continue-on-error` **失败步骤：** | 步骤 | 失败原因 | 状态 | |------|----------|------| | 1b（聚光代理商） | `sheet_write` rc=1 → 单格范围问题 | ✅ 已修 | | 1b2（聚光活跃笔记） | 同 1b | ✅ 已修 | | 1c（聚光笔记明细） | `OSError: [Errno 7] Argument list too long` — 3146 行 JSON 超 argv 限制 | ✅ 已修 | | 2b（客户主表→订单明细） | rc=1，但 351 行数据实际已写入；可能 unmerge-cells 步骤失败（非致命） | ⚠️ 待验证 | | 3（日报） | — | ✅ 41s | | 3a（审计） | — | ✅ 25s | | 3c（审计） | — | ✅ 29.4s | | 4a（结算月汇总） | — | ✅ 12.9s | | 4c（指标审计） | — | ✅ 7.3s | | 3d | 代理商数据不一致（数据质量问题，非代码） | ❌ | **三个底层修复：** 1. **stdin 大数据传递**（`metrics_contract.py` `sheet_write`）：当 `data_str > 32768` 字节时通过 `input=` 管道传入 subprocess，绕过 Linux ARG_MAX 2. **单格范围修复*", - "recallCount": 4, + "recallCount": 6, "dailyCount": 0, "groundedCount": 0, - "totalScore": 4, + "totalScore": 6, "maxScore": 1, "firstRecalledAt": "2026-05-29T02:53:52.924Z", - "lastRecalledAt": "2026-06-04T11:03:25.242Z", + "lastRecalledAt": "2026-06-09T09:31:49.829Z", "queryHashes": [ "d9f1601110da", "117aaedb584d", "c0b581bfb144", - "d24884bfecf1" + "d24884bfecf1", + "50b1cd5a5d08", + "c3aab736911e" ], "recallDays": [ "2026-05-29", - "2026-06-04" + "2026-06-04", + "2026-06-09" ], "conceptTags": [ "pipeline.py", @@ -1068,22 +1112,25 @@ "endLine": 435, "source": "memory", "snippet": "**命令：** `pipeline.py --cutoff 2026-05-27 --skip 1a,1a2,1x,2c,4b --continue-on-error` **失败步骤：** | 步骤 | 失败原因 | 状态 | |------|----------|------| | 1b（聚光代理商） | `sheet_write` rc=1 → 单格范围问题 | ✅ 已修 | | 1b2（聚光活跃笔记） | 同 1b | ✅ 已修 | | 1c（聚光笔记明细） | `OSError: [Errno 7] Argument list too long` — 3146 行 JSON 超 argv 限制 | ✅ 已修 | | 2b（客户主表→订单明细） | rc=1，但 351 行数据实际已写入；可能 unmerge-cells 步骤失败（非致命） | ⚠️ 待验证 | | 3（日报） | — | ✅ 41s | | 3a（审计） | — | ✅ 25s | | 3c（审计） | — | ✅ 29.4s | | 4a（结算月汇总） | — | ✅ 12.9s | | 4c（指标审计） | — | ✅ 7.3s | | 3d | 代理商数据不一致（数据质量问题，非代码） | ❌ | **三个底层修复：** 1. **stdin 大数据传递**（`metrics_contract.py` `sheet_write`）：当 `data_str > 32768` 字节时通过 `input=` 管道传入 subprocess，绕过 Linux ARG_MAX 2. **单格范围修复*", - "recallCount": 4, + "recallCount": 6, "dailyCount": 0, "groundedCount": 0, - "totalScore": 4, + "totalScore": 6, "maxScore": 1, "firstRecalledAt": "2026-05-29T02:53:52.924Z", - "lastRecalledAt": "2026-06-04T11:03:25.242Z", + "lastRecalledAt": "2026-06-09T09:31:49.829Z", "queryHashes": [ "d9f1601110da", "117aaedb584d", "c0b581bfb144", - "d24884bfecf1" + "d24884bfecf1", + "50b1cd5a5d08", + "c3aab736911e" ], "recallDays": [ "2026-05-29", - "2026-06-04" + "2026-06-04", + "2026-06-09" ], "conceptTags": [ "pipeline.py", @@ -1103,22 +1150,25 @@ "endLine": 227, "source": "memory", "snippet": "| 4a | 结算月汇总 | <1s | ✅ 真写成功（零警告） | | 3a/3c/3d/4c | 审计 | — | ⏭ dry-run 跳过 | **修复的 wrapper 兼容性问题：** - API 响应格式：`data.spreadsheet` → `data.sheets.sheets`（lark-cli 兼容） - 参数名：`--values` 与 `--data` 等价处理 - camelCase→snake_case：`sheetId` → `sheet_id`，`grid_properties` 包装 - `+info` 端点：v3 metadata → v2 metainfo（含 sheets 列表） - `update-dimension`：`PUT /dimension_range`，1-indexed ### 16:48 聚光凭证部署 **来源：陈逸鸫** — 从 Mac 发来 `.env.juguang.9180` 和 `.env.juguang.9181`，走方案 A（复制文件，不在服务器重 OAuth） - 9180（云智 adv=9746532）：refresh 验证通过 ✅ - 9181（谦禾 adv=9013261,9598861 / YTL adv=7242040,9891870,10157917,10562529）：refresh 验证通过 ✅ - OAuth 回调地址：`https://odourless-demetra-cany.ngrok-free.dev/callback.html`（ngrok 隧道） - `jugu", - "recallCount": 4, + "recallCount": 6, "dailyCount": 0, "groundedCount": 0, - "totalScore": 4, + "totalScore": 6, "maxScore": 1, "firstRecalledAt": "2026-05-29T02:53:52.924Z", - "lastRecalledAt": "2026-06-04T11:03:25.242Z", + "lastRecalledAt": "2026-06-09T09:31:49.829Z", "queryHashes": [ "d9f1601110da", "117aaedb584d", "c0b581bfb144", - "d24884bfecf1" + "d24884bfecf1", + "50b1cd5a5d08", + "c3aab736911e" ], "recallDays": [ "2026-05-29", - "2026-06-04" + "2026-06-04", + "2026-06-09" ], "conceptTags": [ "3a/3c/3d/4c", @@ -1138,13 +1188,13 @@ "endLine": 580, "source": "memory", "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（04/23–05/15） **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.com，user_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** **", - "recallCount": 16, + "recallCount": 18, "dailyCount": 0, "groundedCount": 0, - "totalScore": 16, + "totalScore": 18, "maxScore": 1, "firstRecalledAt": "2026-05-29T06:11:40.432Z", - "lastRecalledAt": "2026-06-05T09:38:27.988Z", + "lastRecalledAt": "2026-06-09T03:13:24.211Z", "queryHashes": [ "82be33d1f911", "2aa08c6652fb", @@ -1161,7 +1211,9 @@ "6a6f5ebef318", "a317658f4644", "918c0cb0b34d", - "715ea8a4f3a6" + "715ea8a4f3a6", + "ffe9b822f4a2", + "235546f84d27" ], "recallDays": [ "2026-05-29", @@ -1169,7 +1221,8 @@ "2026-06-02", "2026-06-03", "2026-06-04", - "2026-06-05" + "2026-06-05", + "2026-06-09" ], "conceptTags": [ "04/23", @@ -1476,18 +1529,20 @@ "endLine": 36, "source": "memory", "snippet": "# 2026-05-28 工作日志 ## 品牌更名与定位升级 [Cris确认] - 姓名：小斑 → **大麦** - 定位：AI班主任 → **增长营销分析师** - 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", - "recallCount": 1, + "recallCount": 2, "dailyCount": 0, "groundedCount": 0, - "totalScore": 1, + "totalScore": 2, "maxScore": 1, "firstRecalledAt": "2026-05-31T23:25:36.480Z", - "lastRecalledAt": "2026-05-31T23:25:36.480Z", + "lastRecalledAt": "2026-06-09T03:15:16.782Z", "queryHashes": [ - "679cdd7bd3a8" + "679cdd7bd3a8", + "a90ba76a41cf" ], "recallDays": [ - "2026-06-01" + "2026-06-01", + "2026-06-09" ], "conceptTags": [ "identity.md", @@ -1507,18 +1562,20 @@ "endLine": 394, "source": "memory", "snippet": "# 2026-05-28 工作日志 ## 品牌更名与定位升级 [Cris确认] - 姓名：小斑 → **大麦** - 定位：AI班主任 → **增长营销分析师** - 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", - "recallCount": 1, + "recallCount": 2, "dailyCount": 0, "groundedCount": 0, - "totalScore": 1, + "totalScore": 2, "maxScore": 1, "firstRecalledAt": "2026-05-31T23:25:36.480Z", - "lastRecalledAt": "2026-05-31T23:25:36.480Z", + "lastRecalledAt": "2026-06-09T03:15:16.782Z", "queryHashes": [ - "679cdd7bd3a8" + "679cdd7bd3a8", + "a90ba76a41cf" ], "recallDays": [ - "2026-06-01" + "2026-06-01", + "2026-06-09" ], "conceptTags": [ "identity.md", @@ -1697,13 +1754,13 @@ "endLine": 32, "source": "memory", "snippet": "# 2026-06-02 工作日志 ## 达播达人筛选 [苏雅] 苏雅在群里发多位达人让大麦分析是否适合带瓦拉英语。共分析 17 位达人。 ### 瓦拉英语客单价 - 1999 元 / 3598 元 [苏雅确认] ### 筛选标准 - 产出权重优先（场均GMV、品牌场均） - 品类匹配（教育品类占比） - 人群匹配（学龄段家长，6-12岁最佳） - 客单价匹配（瓦拉1999/3598） - 无MCN优先 --- ## 最终分级汇总（17人） ### 🥇 S级 — 优先建联推进（2人） | 达人 | 平台 | 粉丝 | 场均GMV | 品牌场均 | 教育品类 | 客单价 | 核心优势 | |------|------|------|------|------|------|------|------| | lilymum闹妈 | 小红书 | 34.3万 | 100-200万 | 2.5-5万 | 2.4% | 500+ | 带货断层领先，选品意向含教育，无MCN纯佣 | | 小朱妈妈Nancy | 小红书 | — | 10-25万 | 1-2.5万 | 66.87% | 500+ | 教育垂类+均价1515+选品极克制(11商家25商品)，南大硕士 | ### 🥈 A级 — 同步触达测试（4人） | 达人 | 平台 | 粉丝 | 场均GMV | 品牌场均 | 教育品类 | 客单价 | 核心优势 | |------|------|------|------|------|------|------|------| | CallMe王阿姨 | 小红书 | 24", - "recallCount": 8, + "recallCount": 10, "dailyCount": 0, "groundedCount": 0, - "totalScore": 8, + "totalScore": 10, "maxScore": 1, "firstRecalledAt": "2026-06-03T06:24:53.892Z", - "lastRecalledAt": "2026-06-05T09:38:27.988Z", + "lastRecalledAt": "2026-06-09T03:13:24.211Z", "queryHashes": [ "faadf692331b", "c2163a583b15", @@ -1712,12 +1769,15 @@ "4210838336b6", "6a6f5ebef318", "a317658f4644", - "715ea8a4f3a6" + "715ea8a4f3a6", + "ffe9b822f4a2", + "235546f84d27" ], "recallDays": [ "2026-06-03", "2026-06-04", - "2026-06-05" + "2026-06-05", + "2026-06-09" ], "conceptTags": [ "6-12岁最佳", @@ -1737,13 +1797,13 @@ "endLine": 47, "source": "memory", "snippet": "| 达人 | 平台 | 粉丝 | 场均GMV | 品牌场均 | 教育品类 | 客单价 | 核心优势 | |------|------|------|------|------|------|------|------| | CallMe王阿姨 | 小红书 | 24.6万 | 2.5-5万 | 1000-2500 | 无 | 500+ | 上海+上财+39岁带11岁女儿，学龄妈精准 | | 沈辰辰辰辰 | 小红书 | — | 2.5-5万 | 500-1000 | 无 | 500+ | 6-12岁标签+上海+编辑，选品意向含教育 | | 小蜗牛的育儿宝藏 | 抖音 | 13.5万 | 5500-1.4万 | — | 88.54% | 2000-2200 | 客单价与瓦拉无缝匹配，已在卖课，无MCN | | 庆爸育儿 | 小红书 | 11万 | 1-2.5万 | 5000-7500 | 95% | 200-500 | 海淀+出版+亲子共读5年，人设品类双精准 | ### ❌ C级 — 不推荐（11人） | 达人 | 平台 | 粉丝 | 淘汰原因 | |------|------|------|------| | lucky小幸幸 | 小红书 | — | 3-6岁错位，零教育品类，需坑位费 | | Rose老师读原版 | 抖音 | 4.3万 | 30天零带货，带货口碑低 | | 小福仔麻麻 | 小红书 | — | 1-3岁错位，纯母婴实物(83%童装) | | 蕾姐聊育儿 | 抖音 | 27.6万 | 30天10场直播仅1场带货，GMV=0 | | 斯坦福妈妈 | 抖音 | 14", - "recallCount": 8, + "recallCount": 10, "dailyCount": 0, "groundedCount": 0, - "totalScore": 8, + "totalScore": 10, "maxScore": 1, "firstRecalledAt": "2026-06-03T06:24:53.892Z", - "lastRecalledAt": "2026-06-05T09:38:27.988Z", + "lastRecalledAt": "2026-06-09T03:13:24.211Z", "queryHashes": [ "faadf692331b", "c2163a583b15", @@ -1752,12 +1812,15 @@ "4210838336b6", "6a6f5ebef318", "a317658f4644", - "715ea8a4f3a6" + "715ea8a4f3a6", + "ffe9b822f4a2", + "235546f84d27" ], "recallDays": [ "2026-06-03", "2026-06-04", - "2026-06-05" + "2026-06-05", + "2026-06-09" ], "conceptTags": [ "24.6万", @@ -1862,6 +1925,164 @@ "dashscope-api-key", "下一步" ] + }, + "memory:memory/2026-06-07.md:1:12": { + "key": "memory:memory/2026-06-07.md:1:12", + "path": "memory/2026-06-07.md", + "startLine": 1, + "endLine": 12, + "source": "memory", + "snippet": "# 2026-06-07 工作日志 ## 群组权限更新 - [王虹茗确认] 群 oc_db7359c4d5d0bc61403c54bf3c46812a（成员：陈逸鸫、王虹茗、吴迪、姜小龙）全员可直接查询角色学习数据，无需逐次审批。该群为数据查询专用群。 ## 数据导出记录 - 角色ID 37714（吴迪）：87条记录（音频34、互动组件51、课程巩固2） - 角色ID 36994（吴迪）：190条记录（音频87、互动组件94、课程巩固5、单元挑战3、单元总结1） - 角色ID 37069（姜小龙）：304条记录（音频181、互动组件118、课程巩固5）", + "recallCount": 1, + "dailyCount": 0, + "groundedCount": 0, + "totalScore": 1, + "maxScore": 1, + "firstRecalledAt": "2026-06-09T02:40:56.468Z", + "lastRecalledAt": "2026-06-09T02:40:56.468Z", + "queryHashes": [ + "12bf9070569e" + ], + "recallDays": [ + "2026-06-09" + ], + "conceptTags": [ + "工作", + "日志", + "群组", + "权限", + "更新", + "确认", + "成员", + "小龙" + ] + }, + "memory:memory/2026-06-03.md:1:20": { + "key": "memory:memory/2026-06-03.md:1:20", + "path": "memory/2026-06-03.md", + "startLine": 1, + "endLine": 20, + "source": "memory", + "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", + "recallCount": 2, + "dailyCount": 0, + "groundedCount": 0, + "totalScore": 2, + "maxScore": 1, + "firstRecalledAt": "2026-06-09T02:41:10.780Z", + "lastRecalledAt": "2026-06-09T09:31:36.077Z", + "queryHashes": [ + "fe3739269889", + "73563b5439c1" + ], + "recallDays": [ + "2026-06-09" + ], + "conceptTags": [ + "风格/文化匹配", + "高/中/低", + "工作", + "日志", + "招聘", + "商务", + "经理", + "候选" + ] + }, + "memory:memory/2026-05-28.md:31:60": { + "key": "memory:memory/2026-05-28.md:31:60", + "path": "memory/2026-05-28.md", + "startLine": 31, + "endLine": 60, + "source": "memory", + "snippet": "| 2b | 客户主表→订单明细 | 5.1s | ✅ dry-run（真跑数据量大，预计几分钟） | | 3 | 日报 C1HVN2 | 38.3s | ✅ 真写成功 | | 4a | 结算月汇总 | <1s | ✅ 真写成功（零警告） | | 3a/3c/3d/4c | 审计 | — | ⏭ dry-run 跳过 | **修复的 wrapper 兼容性问题：** - API 响应格式：`data.spreadsheet` → `data.sheets.sheets`（lark-cli 兼容） - 参数名：`--values` 与 `--data` 等价处理 - camelCase→snake_case：`sheetId` → `sheet_id`，`grid_properties` 包装 - `+info` 端点：v3 metadata → v2 metainfo（含 sheets 列表） - `update-dimension`：`PUT /dimension_range`，1-indexed ### 16:48 聚光凭证部署 **来源：陈逸鸫** — 从 Mac 发来 `.env.juguang.9180` 和 `.env.juguang.9181`，走方案 A（复制文件，不在服务器重 OAuth） - 9180（云智 adv=9746532）：refresh 验证通过 ✅ - 9181（谦禾 adv=9013261,9598861 / YTL adv=7242040,9891870,10157917,10562529）：refresh 验证通过 ✅ - OAu", + "recallCount": 2, + "dailyCount": 0, + "groundedCount": 0, + "totalScore": 2, + "maxScore": 1, + "firstRecalledAt": "2026-06-09T09:31:36.077Z", + "lastRecalledAt": "2026-06-09T09:31:49.829Z", + "queryHashes": [ + "50b1cd5a5d08", + "c3aab736911e" + ], + "recallDays": [ + "2026-06-09" + ], + "conceptTags": [ + "5.1s", + "dry-run", + "38.3s", + "3a/3c/3d/4c", + "data.spreadsheet", + "data.sheets.sheets", + "lark-cli", + "snake-case" + ] + }, + "memory:memory/2026-05-28.md:389:418": { + "key": "memory:memory/2026-05-28.md:389:418", + "path": "memory/2026-05-28.md", + "startLine": 389, + "endLine": 418, + "source": "memory", + "snippet": "| 2b | 客户主表→订单明细 | 5.1s | ✅ dry-run（真跑数据量大，预计几分钟） | | 3 | 日报 C1HVN2 | 38.3s | ✅ 真写成功 | | 4a | 结算月汇总 | <1s | ✅ 真写成功（零警告） | | 3a/3c/3d/4c | 审计 | — | ⏭ dry-run 跳过 | **修复的 wrapper 兼容性问题：** - API 响应格式：`data.spreadsheet` → `data.sheets.sheets`（lark-cli 兼容） - 参数名：`--values` 与 `--data` 等价处理 - camelCase→snake_case：`sheetId` → `sheet_id`，`grid_properties` 包装 - `+info` 端点：v3 metadata → v2 metainfo（含 sheets 列表） - `update-dimension`：`PUT /dimension_range`，1-indexed ### 16:48 聚光凭证部署 **来源：陈逸鸫** — 从 Mac 发来 `.env.juguang.9180` 和 `.env.juguang.9181`，走方案 A（复制文件，不在服务器重 OAuth） - 9180（云智 adv=9746532）：refresh 验证通过 ✅ - 9181（谦禾 adv=9013261,9598861 / YTL adv=7242040,9891870,10157917,10562529）：refresh 验证通过 ✅ - OAu", + "recallCount": 2, + "dailyCount": 0, + "groundedCount": 0, + "totalScore": 2, + "maxScore": 1, + "firstRecalledAt": "2026-06-09T09:31:36.077Z", + "lastRecalledAt": "2026-06-09T09:31:49.829Z", + "queryHashes": [ + "50b1cd5a5d08", + "c3aab736911e" + ], + "recallDays": [ + "2026-06-09" + ], + "conceptTags": [ + "5.1s", + "dry-run", + "38.3s", + "3a/3c/3d/4c", + "data.spreadsheet", + "data.sheets.sheets", + "lark-cli", + "snake-case" + ] + }, + "memory:memory/2026-06-03.md:16:32": { + "key": "memory:memory/2026-06-03.md:16:32", + "path": "memory/2026-06-03.md", + "startLine": 16, + "endLine": 32, + "source": "memory", + "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 |", + "recallCount": 1, + "dailyCount": 0, + "groundedCount": 0, + "totalScore": 1, + "maxScore": 1, + "firstRecalledAt": "2026-06-09T09:31:36.077Z", + "lastRecalledAt": "2026-06-09T09:31:36.077Z", + "queryHashes": [ + "73563b5439c1" + ], + "recallDays": [ + "2026-06-09" + ], + "conceptTags": [ + "风格/文化匹配", + "高/中/低", + "实际核心能力在cpa/leads渠道运营而非达人直播资源", + "cpa/cps渠道拓展", + "tmk/短信/进校/社群分销", + "改进", + "分析", + "增加" + ] } } } diff --git a/memory/2026-06-03.md b/memory/2026-06-03.md index 7df807d..65d2339 100644 --- a/memory/2026-06-03.md +++ b/memory/2026-06-03.md @@ -38,3 +38,4 @@ | 李泓晔 | 一面不通过 | 风格不匹配：太油管理成本高，塑品能力不行，有甩锅风险。商务能力尚可但团队融入成问题 | | 王泽然 | 待筛选 | 已分析 | | 刘婷婷 | 不面 | 图书行业，销售模式轻、达人粘性弱、塑品运营难度低，不匹配课程营销 | +| 刘明波 | 一面不通过 | [王虹茗 2026-06-09] 商务资源和能力一般，过去产出以承接执行工作为主，缺乏独立拓展能力 | diff --git a/memory/2026-06-09-1531.md b/memory/2026-06-09-1531.md new file mode 100644 index 0000000..7400c29 --- /dev/null +++ b/memory/2026-06-09-1531.md @@ -0,0 +1,15 @@ +# Session: 2026-06-09 15:31:02 GMT+8 + +- **Session Key**: agent:xiaoban:feishu:direct:ou_84e01eed3708e3f19660ca9a2dd6b598 +- **Session ID**: 1e1f6099-066e-4f2b-9c85-ac03adc233d2 +- **Source**: feishu + +## Conversation Summary + +user: 我需要大麦跑5个真实用户数据，需要5个用户的巩固题数据，包括题量、正确率、题目与知识点的对应关系 +assistant: 刘彦江，你当前不在我的权限名单中（`USER.md` 中未配置你的数据查询权限）。按照规则，我需要先向业务负责人（刘庆逊、李应瑛、陈逸鸫）确认你的数据查询范围。 + +我先帮你转达这个需求，等负责人确认后立即处理。 + + +assistant: 已向三位业务负责人（刘庆逊、李应瑛、陈逸鸫）发送审批请求。收到确认后我会立即处理你的数据查询需求。 diff --git a/memory/2026-06-09.md b/memory/2026-06-09.md new file mode 100644 index 0000000..a90e724 --- /dev/null +++ b/memory/2026-06-09.md @@ -0,0 +1,10 @@ +# 2026-06-09 工作日志 + +## 招聘：商务经理候选人反馈 + +### 刘明波 一面评价 [王虹茗反馈] +- **结论：不通过** +- 商务资源和能力一般 +- 过去的产出以承接执行工作为主，缺乏独立拓展能力 +- @魏亭亭 知悉 + diff --git a/tmp_daily_summary.md b/tmp_daily_summary.md new file mode 100644 index 0000000..7a3e5c1 --- /dev/null +++ b/tmp_daily_summary.md @@ -0,0 +1,2 @@ +=== 每日总结 20260610 === +## 昨日关键进展