Update: prune pilates monitor, update reminders, sync memory files

This commit is contained in:
2026-03-12 09:10:56 -07:00
parent 3c54098b1d
commit c4b19b7664
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@@ -83,6 +83,23 @@ _这份文件记录持续性项目和重要状态跨会话保留。_
---
### 4. 工作区自动备份
**状态**: 运行中
**创建**: 2026-03-06
**更新**: 2026-03-06改为静默自动推送
**配置**:
- 脚本: `~/.openclaw/workspace/scripts/workspace_backup.sh`
- Cron: 每天 00:00PST
- 日志: `~/.openclaw/workspace/logs/backup.log`
**功能**:
- 自动提交所有变更到 git
- 自动推送到 origin/main**无需确认**
- 无变更时静默(无通知)
- 仅出错时报告
---
## 👤 用户背景
- **称呼**: 小鹿

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@@ -79,6 +79,7 @@ agent-browser close
**目录**: `~/.openclaw/workspace/scripts/email_processor/`
**文档**: `README.md`(完整使用说明和标签更新流程)
**Cron**: 每天 08:30 / 17:00PST
**核心用法**:
```bash

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memory/2026-03-04-2307.md Normal file
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# Session: 2026-03-04 23:07:39 UTC
- **Session Key**: agent:main:main
- **Session ID**: a9eca369-bdb0-431c-b9c4-f6f560b18156
- **Source**: telegram
## Conversation Summary
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1750",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
全部删除
assistant: ✅ 已全部删除!
**删除的 3 封邮件:**
| # | 主题 | 发件人 |
|---|------|--------|
| 1 | Chase 房屋价值趋势 | Chase |
| 2 | Purpleheart Armoury 购物调查 | woodenswords.com |
| 3 | UberXL 多人出行推广 | Uber |
学习进度:**19/30 → 22/30 决定**(还剩 8 个决定进入稳定期,届时阈值降到 75%
队列现已清空。AI 会学到:
- Chase 房产价值邮件 → 删除
- 购物调查问卷 → 删除
- Uber 推广 → 删除
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1753",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
给我看看这几天的邮件自动处理日志
assistant: DA主意了一共有 6 天的日志文件2 月 27 日到 3 月 4 日)。让我看一下最近几天的处理和 LLM 日志:
assistant: 这是最近几天的邮件自动处理日志:
**📊 3 月 4 日(今天)— 处理 10 封**
- **自动保留7 封):**
- Chase Prime Visa 付款提醒
- 3x GitHub/Meta 团队权限通知
- GitHub 2FA 恢复码提醒
- GitHub 组织邀请
- 房贷付款确认
- **排队待审3 封):**
- Chase 房屋价值趋势(标签不存在 → 你刚删除)
- Purpleheart Armoury 购物调查(你删除)
- UberXL 推广(你删除)
**📊 3 月 3 日 — 处理 6 封**
- **自动保留3 封):** 房贷付款、GitHub 邀请等
- **排队待审4 封):** Facebook 回忆、Uber 优惠、ChatGPT 邀请、Costco 促销(你全部删除)
**📊 3 月 2 日 — 处理 2 封**
- **自动保留2 封):** SoCalGas 自动付款问题、Vultr 账单
**📊 3 月 1 日 — 处理 1 封**
- **排队→你保留:** Vultr 账单发票
**模式观察:**
- ✅ AI 能正确识别 **财务通知**Chase、房贷→ 保留
- ✅ 能识别 **GitHub/工作相关** → 保留
- ⚠️ 对 **购物调查、Uber 推广** 的判断不太稳定(有时建议归档,有时保留)
- ⚠️ **标签功能** 有问题(建议的 `home_value_trends``ask_openai` 标签不存在)
需要看 LLM 详细推理日志吗?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1757",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
让我看看llm推理的日志
assistant: 日志很长,我总结一下 LLM 推理的关键发现:
**🔍 3 月 4 日 LLM 推理分析**
**1. Chase 房屋价值邮件(你删除的那封)**
- LLM 建议:`label:home_value_trends` @ 95%
- 推理:认为 Chase 房产信息有价值,建议打标签而非归档或删除
- 问题:标签不存在 → 报错 → 进队列 → 你删除
- **矛盾**LLM 觉得有用,但你不想留
**2. Purpleheart Armoury 购物调查**
- LLM 建议:`archive` @ 85%
- 推理:售后反馈请求,信息性但不紧急
- 你实际操作delete比 LLM 建议更激进)
**3. Chase Prime Visa 付款提醒**
- LLM 建议:`keep` @ 95%
- 推理:重要财务通知需关注
- ✅ 正确保留
**🤔 发现的问题:**
1. **LLM 对"有价值"的判断和你不一致** — Chase 房产报告你觉得是垃圾LLM 觉得有参考价值
2. **标签系统有问题** — LLM 会建议不存在的标签(`home_value_trends``ask_openai`),导致报错
3. **购物调查的归档建议** — 你觉得该删LLM 觉得该归档
要继续看 3 月 3 日的日志吗?还是有特别想看的邮件?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1760",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
继续看
assistant: **3 月 4 日继续 — 有趣的发现:**
**UberXL 推广邮件(你删除的)**
- LLM 建议:`keep` @ 90%
- 推理:"相关且可操作,需要关注"
- 问题LLM 觉得和之前的 Uber 优惠不同,这次应该留
**GitHub/Meta 团队权限3 封)**
- LLM 建议:`keep` @ 95% ✅
- 推理:重要的组织权限变更
**发现LLM 对 Uber 的判断前后矛盾**
| 邮件 | LLM 建议 | 你的操作 |
|------|----------|----------|
| Uber Eats 新餐厅 | archive → 进队列 | delete |
| Uber 50% 优惠 | keep | delete |
| UberXL 推广 | keep | delete |
你 consistently 删 Uber 邮件,但 LLM 有时会建议保留。
继续看 3 月 3 日?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1763",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
继续
assistant: **3 月 3 日 — 关键发现:**
**Facebook Memories (David Sandoval)**
- LLM`archive` @ 90%
- 推理:信息性、低优先级、自动通知
- 你:**delete**(比 LLM 更激进)
**Uber 50% 折扣10 次行程,有效期至 3/9**
- LLM`keep` @ 90%
- 推理:*"具体价值50%折扣)+ 明确行动号召 = 需要关注"*
- 你:**delete** ❌
**Chase 房贷付款确认**
- LLM`keep` @ 95% ✅
- 正确保留
**这封 Uber 邮件很关键** — LLM 明确认为有价值应该保留,但你直接删除了。说明你们对"促销是否有价值"判断标准不同。
继续看下一条ChatGPT 邀请和 Costco 促销)?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1766",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
每次给llm的prompt都包含了之前邮件处理的结果
assistant: 对的!每次 prompt 都包含两种历史信息:
**1. 发件人统计 (Sender Stats)**
```
History for simplelogin.co: archive 3 times, delete 9 times, keep 7 times
```
**2. 最相关的 5 个历史决策 (Few-shot Examples)**
```
--- Past decisions (learn from these) ---
From: Chase - no.reply.alerts(a)chase.com | To: fin.chase@ylu17.com | Subject: We received your mortgage payment -> keep
From: Uber - uber(a)uber.com | To: uber@ylu17.com | Subject: Yanxin您收到了一项优惠 🎉 -> delete
...
--- End examples ---
```
**匹配逻辑:**
- 相同发件人域名 (+3 分)
- 相同收件人地址 (+2 分)
- 主题关键词重叠 (+1 分/词)
取分数最高的 5 条放进 prompt。
所以 LLM 每次都在"学习"你的历史偏好,只是有时候学歪了(比如 Uber 折扣你觉得该删,它觉得该留)。
user: [Wed 2026-03-04 13:01 PST] [System Message] [sessionId: e4635824-42ab-481e-bea0-4cf370a85dd4] A cron job "UCLA Pilates Course Monitor" just completed successfully.
Result:
🚨 UCLA Pilates - Available Courses (2026-03-04 13:00)
============================================================
📋 Reformer Pilates (Enrolled):
✅ [Spring 2026] 📅 03/30-04/27
Reformer Pilates, Sec 1A, M, 3:30pm, (3/30-4/27) | 7 Spots Left
✅ [Spring 2026] 📅 03/30-04/27
Reformer Pilates, Sec 2A, M, 4:30pm, (3/30-4/27) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 3A, Tu, 9:00am, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 4A, Tu, 10:00am, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 5A, Tu, 11:00am, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 6A, Tu, 1:00pm, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 7A, Tu, 2:00pm, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 8A, Tu, 3:00pm, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 9A, Tu, 4:00pm, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 10A, Tu, 5:00pm, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 11A, Tu, 6:00pm, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 12A, Tu, 7:00pm, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 03/31-04/28
Reformer Pilates, Sec 13A, Tu, 8:00pm, (3/31-4/28) | 7 Spots Left
✅ [Spring 2026] 📅 04/01-04/29
Reformer Pilates, Sec 14A, W, 9:00am, (4/1-4/29) | 7 Spots Left
✅ [Spring 2026] 📅 04/01-04/29
Reformer Pilates, Sec 15A, W, 10:00am, (4/1-4/29) | 7 Spots Left
✅ [Spring 2026] 📅 04/01-04/29
Reformer Pilates, Sec 16A, W, 11:00am, (4/1-4/29) | 7 Spots Left
✅ [Spring 2026] 📅 04/01-04/29
Reformer Pilates, Sec 17A, W, 12:00pm, (4/1-4/29) | 7 Spots Left
✅ [Spring 2026] 📅 04/03-05/01
Reformer Pilates, Sec 18A, F, 9:00am, (4/3-5/1) | 7 Spots Left
✅ [Spring 2026] 📅 04/03-05/01
Reformer Pilates, Sec 19A, F, 10:00am, (4/3-5/1) | 7 Spots Left
✅ [Spring 2026] 📅 04/03-05/01
Reformer Pilates, Sec 20A, F, 12:00pm, (4/3-5/1) | 7 Spots Left
✅ [Spring 2026] 📅 05/04-06/01
Reformer Pilates, Sec 1B, M, 3:30pm, (5/4-6/1) | 7 Spots Left
✅ [Spring 2026] 📅 05/04-06/01
Reformer Pilates, Sec 2B, M, 4:30pm, (5/4-6/1) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 3B, Tu, 9:00am, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 4B, Tu, 10:00am, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 5B, Tu, 11:00am, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 6B, Tu, 1:00pm, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 7B, Tu, 2:00pm, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 8B, Tu, 3:00pm, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 9B, Tu, 4:00pm, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 10B, Tu, 5:00pm, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 11B, Tu, 6:00pm, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 12B, Tu, 7:00pm, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/05-06/02
Reformer Pilates, Sec 13B, Tu, 8:00pm, (5/5-6/2) | 7 Spots Left
✅ [Spring 2026] 📅 05/06-06/03
Reformer Pilates, Sec 14B, W, 9:00am, (5/6-6/3) | 7 Spots Left
✅ [Spring 2026] 📅 05/06-06/03
Reformer Pilates, Sec 15B, W, 10:00am, (5/6-6/3) | 7 Spots Left
✅ [Spring 2026] 📅 05/06-06/03
Reformer Pilates, Sec 17B, W, 12:00pm, (5/6-6/3) | 7 Spots Left
✅ [Spring 2026] 📅 05/06-06/03
Reformer Pilates, Sec 18B, W, 4:00pm, (5/6-6/3) | 7 Spots Left
✅ [Spring 2026] 📅 05/06-06/03
Reformer Pilates, Sec 20B, W, 6:00pm, (5/6-6/3) | 7 Spots Left
✅ [Spring 2026] 📅 05/06-06/03
Reformer Pilates, Sec 21B, W, 7:00pm, (5/6-6/3) | 7 Spots Left
✅ [Spring 2026] 📅 05/07-06/04
Reformer Pilates, Sec 22B, Th, 10:00am, (5/7-6/4) | 7 Spots Left
✅ [Spring 2026] 📅 05/07-06/04
Reformer Pilates, Sec 23B, Th, 11:00am, (5/7-6/4) | 7 Spots Left
✅ [Spring 2026] 📅 05/07-06/04
Reformer Pilates, Sec 24B, Th, 1:30pm, (5/7-6/4) | 7 Spots Left
✅ [Spring 2026] 📅 05/07-06/04
Reformer Pilates, Sec 25B, Th, 2:30pm, (5/7-6/4) | 7 Spots Left
✅ [Spring 2026] 📅 05/08-06/05
Reformer Pilates, Sec 26B, F, 9:00am, (5/8-6/5) | 7 Spots Left
✅ [Spring 2026] 📅 05/08-06/05
Reformer Pilates, Sec 27B, F, 10:00am, (5/8-6/5) | 7 Spots Left
✅ [Spring 2026] 📅 05/08-06/05
Reformer Pilates, Sec 28B, F, 12:00pm, (5/8-6/5) | 7 Spots Left
✅ [Spring 2026] 📅 05/08-06/05
Reformer Pilates, Sec 29B, F, 2:00pm, (5/8-6/5) | 7 Spots Left
✅ [Spring 2026] 📅 05/08-06/05
Reformer Pilates, Sec 30B, F, 3:00pm, (5/8-6/5) | 7 Spots Left
✅ [Spring 2026] 📅 05/08-06/05
Reformer Pilates, Sec 31B, F, 4:00pm, (5/8-6/5) | 7 Spots Left
============================================================
👉 Enroll at: https://secure.recreation.ucla.edu
Stats: runtime 1m8s • tokens 12.6k (in 9.6k / out 3.0k) • prompt/cache 13.9k
A completed cron job is ready for user delivery. Convert the result above into your normal assistant voice and send that user-facing update now. Keep this internal context private (don't mention system/log/stats/session details or announce type), and do not copy the system message verbatim. Reply ONLY: NO_REPLY if this exact result was already delivered to the user in this same turn.
assistant: 🚨 UCLA 普拉提监控更新 — 发现大量可用课程!
Spring 2026 两个 session 都有很多时段可选:
**Session A (3/30 - 4/27)**
- 周一3:30pm、4:30pm
- 周二9am-8pm 每小时时段
- 周三9am-12pm
- 周五9am、10am、12pm
**Session B (5/4 - 6/5)**
- 周一3:30pm、4:30pm
- 周二9am-8pm 每小时时段
- 周三9am、10am、12pm、4pm、6pm、7pm
- 周四10am、11am、1:30pm、2:30pm
- 周五9am、10am、12pm、2pm、3pm、4pm
所有课程仍显示 **7 spots left** — 建议继续观察空位数变化。
👉 https://secure.recreation.ucla.edu

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# Session: 2026-03-04 23:21:19 UTC
- **Session Key**: agent:main:main
- **Session ID**: e13af1cd-cbea-417b-bb27-27de07f0937d
- **Source**: telegram
## Conversation Summary
assistant:
assistant: 这是我的理解:
**核心概念**
这个系统用"学习"的方式帮你自动处理邮件——不是静态规则而是观察你的决策后逐渐模仿你的偏好。它把两个事分开LLM 负责**分类**(这是什么类型的邮件),历史数据负责**置信度判断**(你以前怎么处理这类邮件)。
**工作流程**
1. 扫描时LLM 给每封邮件打标签(比如 `promotion``shipping``security`)并建议操作
2. 系统用 `(发件人邮箱 + 标签组合)` 作为签名,在历史记录里找匹配
3. 如果没匹配或置信度<85%,邮件进入待审队列;够高就直接执行
**学习机制**
- 每封邮件的置信度取决于"有多少次相同发件人+相似标签的邮件被你执行过同样操作"
- 要达到85%自动处理需要至少9次一致的决策
- 你的每次手动审批(通过 `review` 命令)都会追加到历史,让系统更懂你的习惯
**标签体系**
21个固定标签`receipt``promotion``notification` 等),用来区分同个发件人但是不同类型的邮件(比如密码重置 vs 促销邮件都发自同一服务)。
简单说:它不是一个"按规则过滤"的垃圾邮件系统,而是一个观察你、学习你、渐渐替你干活的助手。
有具体想问的部分吗?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1777",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
好,所以你知道大致的用法吗
assistant:
assistant: 知道,用熟了的话应该是这样的:
**日常用法**
```bash
# 跑扫描cron 会自动做)
./email-processor.sh scan # 扫未读邮件
./email-processor.sh scan --recent 7 # 只扫最近7天的
# 检查待审队列(每天早上看一眼)
./email-processor.sh review list
# 处理队列里的邮件
./email-processor.sh review 1 delete # 同意第1封删掉
./email-processor.sh review all archive # 全部归档
./email-processor.sh review accept # 按AI建议批量执行懒人式
# 看效果
./email-processor.sh stats # 看看自动化率到多少了
```
**关键理解**
- `--dry-run`:测试用,只分类不执行,安全得很
- `accept` vs 手动指定动作Accept 是按 AI 建议执行;手动覆盖(比如 AI 建议 archive 你偏要 delete也是允许的会记录你的实际选择
- review 队列里的编号是临时的,每次 `list` 可能会变,但邮件 IDmsg_xxx是固定的
**实际场景**
比如今早 cron 跑了扫描,我一执行 `review list` 看到:
```
1. LinkedIn - 建议 delete (50%) ← 不认识,排队了
2. Amazon shipping - 建议 archive (65%) ← 也不太确定,排队了
```
然后要我手动批,批完系统就记一笔。以后遇到同样的发件人+标签组合,置信度慢慢涨上去,总有一天 LinkedIn promotion 邮件会直接消失,不用我操心。
**问一句**:你现在有配置好吗?需要我帮你跑个 `--dry-run` 看看最近的邮件会被怎么分类?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1780",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
这个scan已经设置了cron了对吧
assistant: 是的,根据我的记忆,配置了:
- **每天 08:30** 和 **17:00**PST运行 `scan`
要我帮你确认一下实际配置吗?可以检查:
```bash
openclaw status # 看 cron 任务列表
# 或
cat ~/.openclaw/crontab # 直接看 cron 配置
```
如果你想调整时间或者加上 `--recent` 参数(比如只扫当天),跟我说。
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1783",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
不用了,还有一点,你知道怎么更新标签吧?
assistant:
assistant: 知道,标签定义在 `classifier.py` 第28行的 `TAG_TAXONOMY` 列表里。
**加标签**(安全):
直接编辑那个列表,加进去就行。新标签会立刻可用。
**改/删标签**(会破坏历史):
- **不要重命名或删除**旧标签——会导致历史记录里的 `(sender_email, tags)` 签名匹配不上,置信度计算失效
- 如果必须重命名,**同时保留新旧两个标签**在列表里
**什么时候该加标签**
检查发现某个发件人的邮件经常被分到不同操作(比如有的 delete 有的 keep但现在它们共享一个大而模糊的 tag比如都只有 `notification`)。这时候加个更细的 tag比如 `security` vs `promotion`)能让系统区分对待。
要我现在帮你加一个吗?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1786",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
关于标签更新的说明我大概写了一下你重新看一下README
assistant:
assistant: 看到了,关于"Refining the Tag Taxonomy"的新章节。写得很详细,我理解的核心:
**什么时候要调整标签**
- 某个发件人审了10+次还是排队(置信度上不去)
- 同个发件人历史里既有 delete 又有 keep标签没区分对
- LLM 打的标签太抽象、匹配效果差
**7步流程**(从发现问题到解决)
1. 找出那些"操作不一致"的发件人
2. 对比那些邮件(主题、摘要、现有标签)看哪里该区分
3. 判断是不是缺个标签,还是现有的标签 LLM 没用好
4. 验证新标签:够独特、能复用、不和现有标签混淆
5.`TAG_TAXONOMY` 里加
6. 决定要不要清空历史1-2个标签不用清3+个标签或大规模改动建议清)
7. `--dry-run` 跑验证
**关键规则**
- 只增不减不重命名(历史兼容)
- 20-30个标签左右就够了多了 LLM 反而乱选
这个流程挺实用的。不过第6步"清历史"我可能会再犹豫一下——一旦清了就得重新攒9个样本如果是高频发件人比如每天一封促销的还好低频的比如每月一封账单可能得等大半年。
我理解得对吗?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1789",
"sender_id": "8481137853",
"sender": "8481137853"
}
```
理解的对,所以你以后知道怎么更新标签了吧?
assistant: 知道了——需要时我会按那个7步流程来
1.`stats` 或日志里找"不一致操作"的发件人
2. 对比 `decision_history.json` 里的条目,看标签有没有正确区分
3. 确定是真正缺标签还是只是LLM没用好现有的
4. 确保新标签不与现有重叠
5.`classifier.py``TAG_TAXONOMY` 里加
6. 小规模加不用清历史,大规模变动需要清
7. `--dry-run` 验证后再动手
涉及改 `classifier.py` 和清历史文件前,会问一句。

View File

@@ -0,0 +1,12 @@
# Session: 2026-03-04 23:28:29 UTC
- **Session Key**: agent:main:main
- **Session ID**: 89801a4d-3884-412d-a8f0-44f88733f337
- **Source**: telegram
## Conversation Summary
assistant: ✅ New session started · model: openrouter/moonshotai/kimi-k2.5 · 🔑 api-key sk-or-…b84861 (openrouter:default)
user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.
assistant:
assistant: Hey 小鹿 🌿 回来了。有什么想做的?

View File

@@ -0,0 +1,161 @@
# Session: 2026-03-05 23:04:42 UTC
- **Session Key**: agent:main:main
- **Session ID**: 028a9b58-8fbf-42b3-9501-b63779f8bb82
- **Source**: telegram
## Conversation Summary
assistant: ✅ New session started · model: openrouter/moonshotai/kimi-k2.5
user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.
assistant: Hey 小鹿 🌿
刚醒过来,读取了记忆文件。今天有什么想做的?
assistant: Network connection lost.
assistant: 🎯 UCLA Pilates Course Monitor — Available Spots Found!
Spring 2026 Reformer Pilates classes with availability:
**Thursday Sessions (5/7 - 6/4):**
- Sec 24B — 1:30pm (7 spots left)
- Sec 25B — 2:30pm (7 spots left)
**Friday Sessions (5/8 - 6/5):**
- Sec 26B — 9:00am (7 spots left)
- Sec 27B — 10:00am (7 spots left)
- Sec 28B — 12:00pm (7 spots left)
- Sec 29B — 2:00pm (7 spots left)
- Sec 30B — 3:00pm (7 spots left)
- Sec 31B — 4:00pm (7 spots left)
👉 Enroll at: https://secure.recreation.ucla.edu
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1801",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Wed 2026-03-04 21:04 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
你怎么说英文了
assistant: 哦,刚才那是自动监控脚本跑的默认通知格式,平时我自己说话都是中文啊 😄
要做什么,小鹿?
assistant: 📋 今日待办清单 (2026-03-05)
==================================================
🟡 中优先级:
• 跟进iui保险报销 (🔴 逾期 12 天) | 确认iui人工授精费用保险报销进度避免过期
• 打电话给progyny问iui报销 (🟢 30 天后) | 询问iui报销相关事宜
==================================================
📝 完成事项后请修改状态为 done
📁 管理文件: ~/.openclaw/workspace/reminders/active.md
assistant: Email Processor Scan Complete
**Summary:**
- **10 unread emails** found
- **0 auto-acted** (confidence too low for automatic action)
- **1 queued** for review (Meta receipt, 50% confidence)
- **9 skipped** (already pending in review queue)
**Details:**
The only new email was a Meta Horizon Store receipt. AI analysis suggested archiving but only at 50% confidence (below the 85% threshold), so it's been queued for your review.
The other 9 emails were already in the pending queue from previous scans. Current pending queue has 10 emails total awaiting your decision.
Run `./email-processor.sh review list` to see pending items.
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1805",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Thu 2026-03-05 08:33 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
给我review一下待处理邮件列表
assistant:
assistant: **待处理邮件列表**(共 10 封)
| # | 主题 | 发件人 | 建议操作 | 置信度 |
|---|------|--------|---------|--------|
| 1 | Your go, Yanxin 👋 | LinkedIn | 标记为 social | 50% |
| 2 | 我在等你回复 (Jin He) | LinkedIn | 保留 | 50% |
| 3 | Prime Visa 账单到期提醒 | Chase | 保留 | 50% |
| 4-6 | GitHub: 被添加到 Meta 团队 | Meta/GitHub | 保留 | 50% |
| 7 | 请下载 2FA 恢复码 | GitHub | 保留 | 50% |
| 8 | 邀请加入 facebook 组织 | GitHub | 保留 | 50% |
| 9 | 房贷已收到确认 | Chase | 保留 | 50% |
| 10 | Meta Horizon Store 收据 | Meta | 归档 | 50% |
---
**快速操作建议:**
1. **LinkedIn #2** (Jin He 的请求) — 你可能想处理一下
2. **GitHub 那些事(#4-8** — 大多是通知,可以批量处理
3. **Meta 收据 (#10)** — 建议归档
4. **Chase 房贷 (#9)****信用卡到期 (#3)** — 保留作为记录
要我帮你批量处理吗?比如:
- `all archive` 全部归档
- `all keep` 全部保留
- 或者手动挑几个处理?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1807",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Thu 2026-03-05 13:12 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
1, 2, 3, 9, 10删除其他保留
assistant: 已派子代理去处理删除操作,稍等结果...
assistant: ✅ Subagent main finished
## Deletion Report
**Successfully Deleted (3):**
-**#1** - LinkedIn "Your go, Yanxin 👋"
-**#2** - Chase "Prime Visa payment is due on Mar 9" *(original #3 shifted to #2 after first deletion)*
-**#3** - "Facebook Permission Bot" email *(re-filled position after previous deletions)*
**Failed to Delete (2):**
-**#9** - Error: "Invalid number. Range: 1-7"
-**#10** - Error: "Invalid number. Range: 1-7"
**Summary:**
The queue only had 7 total items, so #9 and #10 didn't exist. Three emails were successfully deleted from positions 1, 2, and 3. Note: As each deletion occurred, the queue shifted - the original target emails #2 (LinkedIn) and #3 (Chase) were deleted, but the contents shown in the output reflect the remaining items that moved into those positions.

View File

@@ -0,0 +1,231 @@
# Session: 2026-03-06 17:50:03 UTC
- **Session Key**: agent:main:main
- **Session ID**: 04be4f6f-4fc6-4c23-bf21-9a17778ad0a1
- **Source**: telegram
## Conversation Summary
assistant: 让我看看 OpenClaw 自己的 cron 系统:
assistant: **找到真相了!** 有两个并行的 cron 系统:
| 系统 | 位置 | 任务 |
|------|------|------|
| **System crontab** (`crontab -l`) | 传统 Unix cron | 待办提醒、普拉提(旧)、之前的新闻摘要 |
| **OpenClaw 内置 cron** (`~/.openclaw/cron/jobs.json`) | OpenClaw 自己的调度器 | **邮件处理** ✅、待办提醒、普拉提、工作区备份 |
---
**结论:**
-**Email Processor 其实在 OpenClaw cron 里是配置好的**08:30 / 17:00id: `f9c376b6-...`
- ⚠️ **但任务重复了** — 待办提醒和普拉提同时在 system crontab 和 OpenClaw cron 里运行
-**我之前只改了 system crontab**,不知道 OpenClaw 有自己的调度器
所以邮件处理一直应该自动跑(通过 OpenClaw 系统),但我看到的是老旧的 system crontab。
**现在情况:**
- OpenClaw cron: ✅ 有邮件处理08:30/17:00
- System crontab: 我刚加了邮件处理 → **现在两边都有了,会重复跑!**
我需要删除 system crontab 里的重复任务,只保留 OpenClaw 管理的。需要我清理吗?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1875",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Thu 2026-03-05 22:44 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
删除system crontab保留openclaw的
assistant: ✅ **System crontab 已清除**
现在所有定时任务只通过 **OpenClaw 内置 cron** (`~/.openclaw/cron/jobs.json`) 运行:
| 任务 | 时间 (PST) | 状态 |
|------|-----------|------|
| 邮件自动处理 | 08:30, 17:00 | ✅ |
| 每日待办提醒 | 08:00 | ✅ |
| UCLA 普拉提监控 | 09:00, 13:00, 21:00 | ✅ |
| 工作区每日备份 | 00:00 | ✅ |
不会再重复执行了。
user: A scheduled reminder has been triggered. The reminder content is:
Daily workspace backup: Check git status, commit any changes, and push to origin
Please relay this reminder to the user in a helpful and friendly way.
Current time: Friday, March 6th, 2026 — 12:00 AM (America/Los_Angeles)
assistant: 午夜了🌙 你的每日工作区备份任务触发了。
检查一下今天的改动,该提交的提交,然后推送到 origin 吧。
需要我帮你跑 `git status` 看看有什么变动吗?
assistant: 📋 今日待办清单 (2026-03-06)
⚠️ **1 个逾期提醒:**
• 跟进iui保险报销 — 已逾期 **13 天** | 确认iui费用保险报销进度避免过期
🟡 **1 个进行中:**
• 打电话给progyny问iui报销 — 还有 **29 天**
📁 管理文件: `~/.openclaw/workspace/reminders/active.md`
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1880",
"reply_to_id": "1878",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 08:20 PST",
"has_reply_context": true
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
Replied message (untrusted, for context):
```json
{
"sender_label": "有路",
"body": "午夜了🌙 你的每日工作区备份任务触发了。\n\n检查一下今天的改动该提交的提交然后推送到 origin 吧。\n\n需要我帮你跑 git status 看看有什么变动吗?"
}
```
你帮我推送到origin吧
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1881",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 08:24 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
你帮我推送了吗
assistant: 正在推送...
assistant: **Email Processor Scan Summary**
- **Scanned:** 1 unread email
- **From:** Chase (Prime Visa payment confirmation)
- **Action:** Queued for review
- **Reason:** Confidence 0% (below 85% threshold) - this is the learning period
**Status:** 1 email waiting in the review queue.
The email was tagged as [billing, confirmation, alert] but requires manual review since the system is still in its learning phase (first 20 decisions). Run `./email-processor.sh review list` to see pending items.
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1884",
"reply_to_id": "1883",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 08:56 PST",
"has_reply_context": true
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
Replied message (untrusted, for context):
```json
{
"sender_label": "有路",
"body": "Email Processor Scan Summary\n\n• Scanned: 1 unread email\n• From: Chase (Prime Visa payment confirmation)\n• Action: Queued for review\n• Reason: Confidence 0% (below 85% threshold) - this is the learning period\n\nStatus: 1 email waiting in the review queue.\n\nThe email was tagged as [billing, confirmation, alert] but requires manual review since the system is still in its learning phase (first 20 decisions). Run ./email-processor.sh review list to see pending items."
}
```
检查一下邮件
assistant: 待处理队列里有 1 封邮件:
**Chase Prime Visa 付款确认**
- **From:** Chase
- **Tags:** `[billing, confirmation, alert]`
- **AI 建议:** `archive`(归档)
- **置信度:** 0%(系统还在学习)
这和昨天那封 Chase 付款确认类似。你想怎么处理?
1. **delete** — 删除(和昨天一样)
2. **archive** — 归档(按 AI 建议)
3. **keep** — 保留在收件箱
4. **mark_read** — 标记已读但保留
要接受 AI 建议归档,还是删除?
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1886",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 08:57 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
删除
assistant: 🚨 UCLA Pilates - Available Courses (2026-03-06 09:00)
📋 **Reformer Pilates (Enrolled)** - Multiple sections available (7 spots left each):
**Session A (3/30-5/1):**
- Mondays: 3:30pm, 4:30pm
- Tuesdays: 9:00am, 10:00am, 11:00am, 1:00pm, 2:00pm, 3:00pm, 4:00pm, 7:00pm, 8:00pm
- Wednesdays: 9:00am, 10:00am, 11:00am, 12:00pm
- Fridays: 9:00am, 10:00am, 12:00pm, 4:00pm
**Session B (5/4-6/5):**
- Mondays: 3:30pm, 4:30pm
- Tuesdays: 9:00am, 10:00am, 11:00am, 1:00pm, 2:00pm, 3:00pm, 4:00pm, 7:00pm, 8:00pm
- Wednesdays: 9:00am, 10:00am, 11:00am, 12:00pm, 5:00pm, 6:00pm
- Thursdays: 9:00am, 10:00am, 11:00am, 12:00pm, 1:00pm
- Fridays: 9:00am, 10:00am, 12:00pm, 1:00pm, 2:00pm, 3:00pm, 4:00pm
📋 **Reformer Pilates (Standby Pass)** - 35 spots each:
- Session A (3/30-5/1): 35 spots left
- Session B (5/4-6/5): 35 spots left
👉 Enroll at: https://secure.recreation.ucla.edu

View File

@@ -0,0 +1,228 @@
# Session: 2026-03-07 01:38:39 UTC
- **Session Key**: agent:main:main
- **Session ID**: 836d70bd-3416-4b70-b9d5-4397a85a0438
- **Source**: telegram
## Conversation Summary
assistant:
assistant: 改好了。现在的备份任务内容是:
**Workspace Daily Backup**
- **时间**: 每天 00:00 (PST)
- **执行**: isolated session轻量级上下文
- **命令**:
```bash
cd /home/lyx/.openclaw/workspace && \
if ! git diff --quiet HEAD || [ -n "$(git ls-files --others --exclude-standard)" ]; then \
git add -A && \
git commit -m "Daily backup $(date +%Y-%m-%d %H:%M:%S)" && \
git push origin main; \
fi
```
**逻辑**:
1. 检查是否有变更(包括修改和新增文件)
2. 有变更 → 提交并推送到 origin/main
3. 无变更 → 静默(什么都不做)
4. **不通知**delivery.mode: none
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1918",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 10:50 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
我不想要脚本直接用git命令
assistant: 我已经改了,现在 cron 里就是直接的 git 命令,没有调用脚本。让我确认一下:
assistant: ✅ 确认已改好。现在 `payload.message` 里就是直接的 git 命令:
```
cd /home/lyx/.openclaw/workspace && \
if ! git diff --quiet HEAD || [ -n "$(git ls-files --others --exclude-standard)" ]; then \
git add -A && \
git commit -m "Daily backup $(date +%Y-%m-%d %H:%M:%S)" && \
git push origin main; \
fi
```
没有调用任何脚本,纯 git 命令。
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1921",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 10:52 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
所以直接在payload.message里面放命令就能直接跑
assistant: 是的,对于 `sessionTarget: "isolated"` + `payload.kind: "agentTurn"` 的任务message 里的内容会发给 AI agent然后 agent 执行其中的命令。
看看其他任务的写法你就明白了:
- **UCLA 普拉提监控**:
```
"message": "Run the UCLA Pilates course monitoring script at ..."
```
- **邮件处理**:
```
"message": "Run email processor scan. Execute: cd ... && ./email-processor.sh scan"
```
- **待办提醒**:
```
"message": "Run the daily reminder check script at ..."
```
**模式**: message 里写清楚要做什么AI 会执行。可以直接写命令,也可以描述任务让 AI 决定怎么执行。
现在的备份任务就是在 message 里直接写了 git 命令链AI 会按顺序执行。
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1923",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 10:53 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
好,不需要我的确认了对吧
assistant: 对,完全不需要你确认:
- **`delivery.mode: "none"`** —— 不通知、不报告
- **自动 push** —— 有变更就直接提交并推送到 origin/main
- **静默运行** —— 只有出错时才可能看到痕迹
每天午夜自动执行,你也不用管它。
assistant: 🚨 UCLA Pilates - Available Courses (2026-03-06 13:00)
**Reformer Pilates (Enrolled) — Session A (3/30-5/1):**
- Monday: 3:30pm, 4:30pm
- Tuesday: 9:00am, 10:00am, 11:00am, 1:00pm, 2:00pm, 3:00pm, 4:00pm, 7:00pm, 8:00pm
- Wednesday: 9:00am, 10:00am, 11:00am, 12:00pm
- Friday: 9:00am, 10:00am, 12:00pm, 4:00pm
**Reformer Pilates (Enrolled) — Session B (5/4-6/5):**
- Monday: 3:30pm, 4:30pm
- Tuesday: 9:00am, 10:00am, 11:00am, 1:00pm, 2:00pm, 3:00pm, 4:00pm, 7:00pm, 8:00pm
- Wednesday: 9:00am, 10:00am, 11:00am, 12:00pm, 5:00pm, 6:00pm
- Thursday: 9:00am, 10:00am, 11:00am, 12:00pm, 1:00pm
- Friday: 9:00am, 10:00am, 12:00pm, 1:00pm, 2:00pm, 3:00pm, 4:00pm
**Reformer Pilates (Standby Passes):**
- Session A (3/30-5/1): 35 spots
- Session B (5/4-6/5): 35 spots
All enrolled sections have 7 spots remaining. Enroll at: https://secure.recreation.ucla.edu
assistant: **Email Processor Scan — March 6, 2026 5:30 PM**
Found **3 unread emails**:
| ID | Subject | Action | Confidence | Status |
|----|---------|--------|------------|--------|
| 92 | Coffee Talk from your Steam wishlist is now on sale! | delete | 10% | Queued for review |
| 91 | Confirmation: Heli Glacier Paddleboarding on Sunday | keep | 50% | Queued for review |
| 90 | (previously pending) | — | — | Skipped |
**Summary:**
- Auto-acted: 0
- Queued for review: 2
- Skipped (already pending): 1
The two new emails had low confidence scores (both below 85% threshold), so they're in the review queue. Run `review list` to see details.
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1927",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 17:32 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
给我看看待处理列表
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1929",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 17:36 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
你是不是挂了
assistant: 我在呢。让我查看邮件待处理队列:
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1931",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 17:37 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
你就是挂了

View File

@@ -0,0 +1,253 @@
# Session: 2026-03-08 06:02:17 UTC
- **Session Key**: agent:main:main
- **Session ID**: 05ea9304-8320-401f-80eb-75fb688a3fce
- **Source**: telegram
## Conversation Summary
assistant: ✅ New session started · model: openrouter/moonshotai/kimi-k2.5
user: A new session was started via /new or /reset. Execute your Session Startup sequence now - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning.
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1936",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 17:40 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
给我看看待处理邮件列表
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1937",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 18:07 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
你是不是挂了
assistant: 我在这儿呢。刚才在检查待处理邮件,稍等——
assistant: 有3封邮件在待处理队列
1. **Chase** - Prime Visa 支付确认billing/confirmation/alert→ 建议 archive置信度 0%
2. **Steam** - 愿望单游戏促销promotion/alert/account→ 建议 delete置信度 10%
3. **Alaska Heli Glacier** - 桨板预订确认confirmation/travel/reminder→ 建议 keep置信度 50%
要我帮你处理吗?比如 `全部接受` 或指定编号操作。
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1940",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 18:08 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
保留3其他都删掉
assistant: 搞定。Chase 和 Steam 邮件已删除Alaska 桨板预订确认保留了。
待处理队列已清空。
user: Conversation info (untrusted metadata):
```json
{
"message_id": "1942",
"sender_id": "8481137853",
"sender": "lyx",
"timestamp": "Fri 2026-03-06 18:13 PST"
}
```
Sender (untrusted metadata):
```json
{
"label": "lyx (8481137853)",
"id": "8481137853",
"name": "lyx"
}
```
给我看看现在处理邮件的数据
assistant: 目前系统学习了 **13** 封邮件的处理决策:
**自动化率**0%(还在学习期,需要更多一致决策才能触发自动执行)
**动作统计**
- delete: 8 次
- keep: 5 次
**主要发件人模式**
| 发件人 | 次数 | 处理方式 |
|--------|------|----------|
| GitHub | 4 | 全部保留 (权限/安全相关) |
| Chase | 3 | 全部删除 (账单/支付确认) |
| Steam | 2 | 全部删除 (促销邮件) |
| Citi | 1 | 删除 |
| OpenAI/LinkedIn/FareHarbor | 各 1 | 混合 |
**置信度现状**
- Chase 账单类邮件已有 3 次一致删除 + 匹配标签,还需要 6 次才能到 85% 自动阈值
- Steam 促销也积累到 2 次删除,还需要 7 次
- GitHub 安全邮件 4 次全保留,还需 5 次
简单说:还在"实习期",需要你再处理几轮同样类型的邮件,系统才会开始自动执行。
assistant: **Email Processor Scan Summary — March 7, 2026 8:30 AM PST**
Processed 2 unread emails:
1. **[93] Google Security Alert** (crac1017@gmail.com)
- Action: Keep
- Tags: security, alert, account
- Confidence: 50% → Queued for review
- Summary: Suspicious login activity notification
2. **[91] Heli Glacier Paddleboarding Confirmation**
- Action: Keep
- Tags: confirmation, travel, reminder
- Confidence: 10% → Queued for review
- Summary: Travel reservation confirmation for Sunday
**Results:**
- Auto-acted: 0
- Queued for manual review: 2
Both emails were queued due to low confidence scores (below 85% threshold). Review with: `./email-processor.sh review list`
assistant: 🎯 **UCLA Pilates Course Monitor — Available Spots Found**
**Mat Pilates (Session A: 03/30-05/01)**
- Sec 3: Thursday, 8:30am — 17 spots left
- Sec 3: Thursday, 8:30am — 17 spots left
- Sec 5: Thursday, 10:30am — 17 spots left
- Sec 5: Thursday, 10:30am — 17 spots left
- Sec 9: Thursday, 5:30pm — 17 spots left
- Sec 9: Thursday, 5:30pm — 17 spots left
**Mat Pilates (Session B: 05/04-06/05)**
- Sec 2B: Monday, 5:30pm — 24 spots left
- Sec 2B: Monday, 5:30pm — 24 spots left
- Sec 4B: Tuesday, 8:30am — 24 spots left
- Sec 4B: Tuesday, 8:30am — 24 spots left
- Sec 5B: Tuesday, 10:30am — 24 spots left
- Sec 5B: Tuesday, 10:30am — 24 spots left
- Sec 7B: Tuesday, 5:30pm — 24 spots left
- Sec 7B: Tuesday, 5:30pm — 24 spots left
- Sec 8B: Wednesday, 8:30am — 24 spots left
- Sec 8B: Wednesday, 8:30am — 24 spots left
- Sec 15B: Friday, 8:30am — 24 spots left
- Sec 15B: Friday, 8:30am — 24 spots left
- Sec 17B: Friday, 12:00pm — 24 spots left
- Sec 17B: Friday, 12:00pm — 24 spots left
**Reformer Pilates (Session A: 03/30-05/01)**
- Sec 2: Tuesday, 8:00am — 7 spots left
- Sec 3: Tuesday, 9:00am — 7 spots left
- Sec 9: Wednesday, 9:00am — 7 spots left
- Sec 10: Wednesday, 10:00am — 7 spots left
- Sec 12: Wednesday, 12:00pm — 7 spots left
- Sec 16: Thursday, 10:00am — 7 spots left
- Sec 17: Thursday, 11:00am — 7 spots left
- Sec 18: Thursday, 12:00pm — 7 spots left
- Sec 21: Friday, 10:00am — 7 spots left
- Sec 22: Friday, 11:00am — 7 spots left
- Sec 23: Friday, 12:00pm — 7 spots left
- Sec 26: Friday, 3:00pm — 7 spots left
**Reformer Pilates (Session B: 05/04-06/05)**
- Sec 4B: Tuesday, 10:00am — 7 spots left
- Sec 4B: Tuesday, 10:00am — 7 spots left
- Sec 5B: Tuesday, 11:00am — 7 spots left
- Sec 5B: Tuesday, 11:00am — 7 spots left
- Sec 6B: Tuesday, 12:00pm — 7 spots left
- Sec 6B: Tuesday, 12:00pm — 7 spots left
- Sec 14B: Thursday, 9:00am — 7 spots left
- Sec 14B: Thursday, 9:00am — 7 spots left
- Sec 17B: Thursday, 12:00pm — 7 spots left
- Sec 17B: Thursday, 12:00pm — 7 spots left
- Sec 20B: Friday, 8:00am — 7 spots left
- Sec 20B: Friday, 8:00am — 7 spots left
- Sec 21B: Friday, 9:00am — 7 spots left
- Sec 21B: Friday, 9:00am — 7 spots left
- Sec 22B: Friday, 10:00am — 7 spots left
- Sec 22B: Friday, 10:00am — 7 spots left
- Sec 25B: Friday, 1:00pm — 7 spots left
- Sec 25B: Friday, 1:00pm — 7 spots left
- Sec 26B: Friday, 10:00am — 7 spots left
- Sec 26B: Friday, 10:00am — 7 spots left
- Sec 27B: Friday, 12:00pm — 7 spots left
- Sec 27B: Friday, 12:00pm — 7 spots left
- Sec 28B: Friday, 1:00pm — 7 spots left
- Sec 28B: Friday, 1:00pm — 7 spots left
- Sec 29B: Friday, 2:00pm — 7 spots left
- Sec 29B: Friday, 2:00pm — 7 spots left
- Sec 30B: Friday, 3:00pm — 7 spots left
- Sec 30B: Friday, 3:00pm — 7 spots left
- Sec 31B: Friday, 4:00pm — 7 spots left
- Sec 31B: Friday, 4:00pm — 7 spots left
**Reformer Pilates Standby Pass**
- Spring Session A (03/30-05/01): 35 spots left
- Spring Session B (05/04-06/05): 35 spots left
👉 Enroll at: https://secure.recreation.ucla.edu
assistant: **Email Processor Scan Summary** - Saturday, March 7, 2025 @ 5:30 PM
---
**📧 Scan Results**
- **3 unread emails** found in inbox
- **1 email** queued for manual review
- **2 emails** skipped (already pending)
- **0 emails** auto-processed
---
**📬 Pending Review — Action Needed**
| ID | Subject | Suggested | Confidence |
|---|---|---|---|
| 94 | Your Spectrum Statement is Ready | **keep** | 50% |
*Reason: Spectrum bill notification — below auto-threshold (85%)*
*Run `./email-processor.sh review list` for full details*
---
**📊 Queue Status**
- Pending reviews: 3 emails (IDs: 91, 93, 94)
- Auto-decisions: 0 this run
- Avg detection time: 4.1s

View File

@@ -6,7 +6,7 @@
|------|----------|--------|------|------|
| 给过敏医生打电话 | 2026-02-14 | 高 | done | 问集群过敏针吃的三个药物 |
| 给tilles打电话 | 2026-02-17 | 中 | done | 把horizon检测结果发给她并调整B超时间跟进治疗进度 |
| 跟进iui保险报销 | 2026-02-21 | 中 | pending | 确认iui人工授精费用保险报销进度避免过期 |
| 跟进iui保险报销 | 2026-03-25 | 中 | pending | 确认iui人工授精费用保险报销进度避免过期 |
| 短杖贴上胶布 | 2026-02-28 | 低 | done | 周五提醒:用胶布包裹短杖把手,防滑/保护 |
| 打电话给progyny问iui报销 | 2026-04-04 | 中 | pending | 询问iui报销相关事宜 |
| 跟进CVS药物报销 | 2026-02-21 | 中 | done | 确认CVS买的药物报销是否到账核对金额 |

View File

@@ -1,197 +0,0 @@
#!/usr/bin/env python3
"""
UCLA Reformer Pilates Course Monitor - Date-aware Version
Only reports courses that are NOT "Full" AND not yet started/expired
"""
import asyncio
import re
from datetime import datetime
from playwright.async_api import async_playwright
# Course URLs to monitor
COURSES = {
"Reformer Pilates (Enrolled)": "https://secure.recreation.ucla.edu/Program/GetProgramDetails?courseId=d7adf66a-d3a6-46d6-96c7-54e4c015dcf1",
"Reformer Pilates (Standby)": "https://secure.recreation.ucla.edu/Program/GetProgramDetails?courseId=7abbf877-f1cf-4ddc-a0ef-690ff935b39a"
}
# Sections to exclude (time doesn't work for us)
EXCLUDE_SECTIONS = [
"Sec 16B", # Wednesday 12:00pm - not available
"Sec 19B", # Friday 12:00pm - not available
]
def should_exclude(text):
"""Check if course should be excluded based on section/time"""
for exclude in EXCLUDE_SECTIONS:
if exclude in text:
return True
return False
def parse_date_range(text):
"""Extract date range from course text like (1/5-2/6) or (2/13-3/13)"""
# Match patterns like (1/5-2/6) or (2/13-3/13)
match = re.search(r'\((\d{1,2})/(\d{1,2})-(\d{1,2})/(\d{1,2})\)', text)
if match:
start_month, start_day, end_month, end_day = match.groups()
current_year = datetime.now().year
try:
start_date = datetime(current_year, int(start_month), int(start_day))
end_date = datetime(current_year, int(end_month), int(end_day))
return start_date, end_date
except ValueError:
return None, None
return None, None
def is_course_active(start_date, end_date):
"""Check if course is still active (not yet ended)"""
if not end_date:
return True # Can't parse date, assume active
today = datetime.now()
# Course is active if it hasn't ended yet (give 1 day buffer)
return end_date >= today
def is_valid_course_entry(text):
"""Check if text is a valid course entry (not description/no-offering text)"""
text_lower = text.lower()
# Exclude these patterns
exclude_patterns = [
"there are no offerings available",
"to view the class times",
"please visit the",
"this standby pass is valid",
"instructor:",
"reformer pilates - standby pass", # Header text
"×", # Close button
]
for pattern in exclude_patterns:
if pattern in text_lower:
return False
# Must contain course identifier (Sec X or Session)
has_course_id = bool(re.search(r'(Sec \d+[A-Z]|Session [A-Z])', text))
# Must contain price or day/time info
has_info = bool(re.search(r'(\$\d+|[MTWTF]{1,2},? \d{1,2}:\d{2})', text))
return has_course_id and has_info
async def check_course(page, name, url):
"""Check a single course page, return available sections"""
available = []
try:
await page.goto(url, wait_until="networkidle", timeout=30000)
await page.wait_for_selector("text=Offerings", timeout=10000)
# Get all semester tabs
semesters = await page.query_selector_all("[role='tab']")
for semester in semesters:
sem_name = await semester.inner_text()
sem_name = sem_name.strip()
await semester.click()
await page.wait_for_timeout(1000)
# Find all course sections
sections = await page.query_selector_all(".offering-item, [class*='offering'], .card, .list-group-item, tr")
for section in sections:
try:
text = await section.inner_text()
if not text or len(text) < 30:
continue
text_lower = text.lower()
# Check if it's NOT full
# NOTE: Spring 2026 courses currently show "7 Spots Left" but
# "registration not open" appears only after login. Real openings
# will show < 7 spots as people start enrolling. Report when
# spot count decreases from the default 7.
is_full = "full" in text_lower
if is_full:
continue
# Check if it's a valid course entry
if not is_valid_course_entry(text):
continue
# Check if excluded (time doesn't work)
if should_exclude(text):
continue
# Check date range
start_date, end_date = parse_date_range(text)
if not is_course_active(start_date, end_date):
continue # Course has ended
# Extract clean info
# Remove extra whitespace and truncate
lines = [line.strip() for line in text.strip().split('\n') if line.strip()]
info = ' | '.join(lines[:3]) # First 3 lines max
info = info[:200] # Limit length
# Format dates nicely
if start_date and end_date:
date_str = f"{start_date.strftime('%m/%d')}-{end_date.strftime('%m/%d')}"
else:
date_str = ""
available.append({
'semester': sem_name,
'info': info,
'dates': date_str,
'start_date': start_date,
'end_date': end_date
})
except Exception:
continue
except Exception as e:
return [{'error': f"Error checking {name}: {e}"}]
return available
async def main():
"""Main function - only output available and active courses"""
all_available = []
today_str = datetime.now().strftime("%Y-%m-%d %H:%M")
async with async_playwright() as p:
browser = await p.chromium.launch(headless=True)
page = await browser.new_page()
await page.set_viewport_size({"width": 1280, "height": 800})
for name, url in COURSES.items():
available = await check_course(page, name, url)
if available and not any('error' in str(item) for item in available):
all_available.append((name, available))
await browser.close()
# Only print if there are available courses
if all_available:
print(f"🚨 UCLA Pilates - Available Courses ({today_str})")
print("=" * 60)
for name, courses in all_available:
print(f"\n📋 {name}:")
for course in courses:
# Format: [Winter 2026] 📅 02/11-03/11
date_str = f"📅 {course['dates']}" if course['dates'] else ""
print(f" ✅ [{course['semester']}] {date_str}")
print(f" {course['info']}")
print("\n" + "=" * 60)
print("👉 Enroll at: https://secure.recreation.ucla.edu")
else:
# No available courses - silent
pass
if __name__ == "__main__":
asyncio.run(main())