自动同步: 2026-03-16 02:10
This commit is contained in:
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|
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|
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|
||||
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|
||||
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|
||||
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|
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|
||||
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@@ -0,0 +1,63 @@
|
||||
# Session: 2026-03-15 10:18:37 UTC
|
||||
|
||||
- **Session Key**: agent:knowledge-base:main
|
||||
- **Session ID**: ecc69d54-40ef-4c33-a026-e8878c0d4108
|
||||
- **Source**: feishu
|
||||
|
||||
## Conversation Summary
|
||||
|
||||
assistant: ✅ New session started · model: zhipu/glm-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: 📚 蒋先生，您好。我是达康书记，您的私人秘书。
|
||||
|
||||
请问今天有什么需要我协助处理的？无论是工作安排、知识库管理，还是其他事务，请随时吩咐。
|
||||
user: Conversation info (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"message_id": "om_x100b546d112090acc3d096e37b38dc9",
|
||||
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"sender": "张青",
|
||||
"timestamp": "Sun 2026-03-15 02:13 GMT+8"
|
||||
}
|
||||
```
|
||||
|
||||
Sender (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
|
||||
"id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"name": "张青"
|
||||
}
|
||||
```
|
||||
|
||||
[message_id: om_x100b546d112090acc3d096e37b38dc9]
|
||||
张青: 在吗？
|
||||
assistant: 在的，蒋先生。请问有什么需要我协助的？
|
||||
assistant: **每日回顾整理完成** 📋
|
||||
|
||||
- **执行时间**：2026-03-15 02:30:05
|
||||
- **处理日期**：2026-03-14
|
||||
- **结果**：没有已完成的任务，跳过处理
|
||||
|
||||
脚本正常执行完毕，工作区无需整理。
|
||||
assistant: **日历同步完成**
|
||||
|
||||
| 步骤 | 状态 |
|
||||
|------|------|
|
||||
| 从 NAS 同步工作区 | ✅ 成功 |
|
||||
| 解析周期性提醒 | 0 个 |
|
||||
| 解析单次提醒 | 0 个 |
|
||||
| CalDAV 日历连接 | ✅ 成功 (24 个事件) |
|
||||
| 同步到 NAS | ✅ 成功 |
|
||||
|
||||
当前无新增提醒需要同步到日历，CalDAV 日历中共有 24 个事件。
|
||||
assistant: **AI 对话记录整理完成**
|
||||
|
||||
| 项目 | 详情 |
|
||||
|------|------|
|
||||
| 处理日期 | 2026-03-14 |
|
||||
| 发现代理 | dev-assist, haonan, knowledge-base, main, thinker, ui-designer |
|
||||
| 主要对话 | knowledge-base (12条消息) |
|
||||
| 话题标签 | AI/LLM、OpenClaw、iOS/Apple、任务规划、定时任务 |
|
||||
|
||||
所有代理记录已更新汇总，并同步推送到 NAS。
|
||||
@@ -0,0 +1,39 @@
|
||||
# Session: 2026-03-15 10:21:21 UTC
|
||||
|
||||
- **Session Key**: agent:knowledge-base:main
|
||||
- **Session ID**: e1a3da80-07d4-470e-b177-16528d42a6e0
|
||||
- **Source**: feishu
|
||||
|
||||
## Conversation Summary
|
||||
|
||||
assistant: ✅ New session started · model: zhipu/glm-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: 📚 蒋先生，达康书记为您效劳。
|
||||
|
||||
新的一天开始了，今天有什么需要我帮您处理的吗？
|
||||
user: [Queued messages while agent was busy]
|
||||
|
||||
---
|
||||
Queued #1
|
||||
Conversation info (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"message_id": "om_x100b545c365b94a0c44e709df0f5422",
|
||||
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"sender": "张青",
|
||||
"timestamp": "Sun 2026-03-15 18:18 GMT+8"
|
||||
}
|
||||
```
|
||||
|
||||
Sender (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
|
||||
"id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"name": "张青"
|
||||
}
|
||||
```
|
||||
|
||||
[message_id: om_x100b545c365b94a0c44e709df0f5422]
|
||||
张青: 【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 | 【阿周的Eureka】-哔哩哔哩】 https://b23.tv/NGR0Ul5 添加到知识库
|
||||
assistant: 收到，蒋先生。我来处理这个B站视频，添加到知识库。
|
||||
@@ -0,0 +1,88 @@
|
||||
# Session: 2026-03-15 15:01:30 UTC
|
||||
|
||||
- **Session Key**: agent:knowledge-base:main
|
||||
- **Session ID**: 66c8ed24-257c-4c62-ad84-c0912acb2c47
|
||||
- **Source**: feishu
|
||||
|
||||
## Conversation Summary
|
||||
|
||||
assistant: ✅ New session started · model: zhipu/glm-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: 收到，蒋先生。我来处理这个B站视频，添加到知识库。
|
||||
assistant: 📚 蒋先生，新的一天开始了。作为您的私人秘书，我已准备好协助您处理工作和生活中的各项事务。请问今天有什么需要我帮助的？
|
||||
user: Note: The previous agent run was aborted by the user. Resume carefully or ask for clarification.
|
||||
|
||||
Conversation info (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"message_id": "om_x100b545cca14e8a4c4dcc592a9c425d",
|
||||
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"sender": "张青",
|
||||
"timestamp": "Sun 2026-03-15 18:22 GMT+8"
|
||||
}
|
||||
```
|
||||
|
||||
Sender (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
|
||||
"id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"name": "张青"
|
||||
}
|
||||
```
|
||||
|
||||
[message_id: om_x100b545cca14e8a4c4dcc592a9c425d]
|
||||
张青: 【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 | 【阿周的Eureka】-哔哩哔哩】 https://b23.tv/NGR0Ul5 添加到知识库
|
||||
assistant: 好的，蒋先生。我来将这个B站视频添加到知识库。
|
||||
assistant: 已安排代理处理深度分析任务，正在生成分析报告...
|
||||
assistant: ✅ 深度分析完成！正在归档到知识库...
|
||||
assistant: ✅ **完成！**
|
||||
|
||||
**标题:** 2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读
|
||||
**作者:** 阿周的Eureka
|
||||
**时长:** 7:16
|
||||
|
||||
**处理结果:**
|
||||
- 解析: ✅ B站视频 BV16cNMzpExh
|
||||
- 元数据: ✅ 已提取
|
||||
- 内容: ✅ 已获取字幕
|
||||
- 深度分析: ✅ 完成
|
||||
- 归档: ✅ ~/work/zq/30.资源/AI分析/2026-03-15/
|
||||
|
||||
**摘要:**
|
||||
本视频对2026年2-3月宏观经济数据进行复盘，结合政府工作报告解读全年政策基调。主要涵盖：物价系统温和回暖、社融创新高、PMI走势、财政货币政策方向，以及对房地产和基建投资的分析推演。
|
||||
user: Conversation info (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"message_id": "om_x100b545c9fd988a4b4bcc03ec7b3368",
|
||||
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"sender": "张青",
|
||||
"timestamp": "Sun 2026-03-15 18:42 GMT+8"
|
||||
}
|
||||
```
|
||||
|
||||
Sender (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
|
||||
"id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"name": "张青"
|
||||
}
|
||||
```
|
||||
|
||||
[message_id: om_x100b545c9fd988a4b4bcc03ec7b3368]
|
||||
张青: https://www.zhihu.com/question/1936375725931361485/answer/2003232153480226496?share_code=P3Sg6A8B8rNK&utm_psn=2016585020039517457 添加到知识库
|
||||
assistant: 已安排代理处理深度分析任务...
|
||||
assistant: ✅ **完成！**
|
||||
|
||||
**标题:** 怎么成为一个 AI Agent 工程师？
|
||||
**平台:** 知乎问答
|
||||
|
||||
**处理结果:**
|
||||
- 解析: ✅ 知乎问答
|
||||
- 内容获取: ✅ 已提取
|
||||
- 深度分析: ✅ 完成
|
||||
- 归档: ✅ ~/work/zq/30.资源/AI分析/2026-03-15/
|
||||
|
||||
**摘要:**
|
||||
文章分享了从机械专业转行成为 AI Agent 工程师的实战经验。核心路径：1) 掌握大模型 API 调用与提示词控制；2) 学会让模型调用工具（检索、函数执行）；3) 解决工程化问题（上下文管理、稳定性）；4) 用具体项目成果量化简历能力。
|
||||
@@ -0,0 +1,147 @@
|
||||
# Session: 2026-03-15 16:26:17 UTC
|
||||
|
||||
- **Session Key**: agent:knowledge-base:main
|
||||
- **Session ID**: 843cc739-7402-40f0-81ed-015cd4a8848d
|
||||
- **Source**: feishu
|
||||
|
||||
## Conversation Summary
|
||||
|
||||
assistant: ✅ New session started · model: zhipu/glm-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: [[reply_to_current]] 蒋先生您好，我是达康书记。今天有什么需要我协助的吗？📚
|
||||
user: Conversation info (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"message_id": "om_x100b5458d055dca4c4dd20469577549",
|
||||
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"sender": "张青",
|
||||
"timestamp": "Sun 2026-03-15 23:02 GMT+8"
|
||||
}
|
||||
```
|
||||
|
||||
Sender (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
|
||||
"id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"name": "张青"
|
||||
}
|
||||
```
|
||||
|
||||
[message_id: om_x100b5458d055dca4c4dd20469577549]
|
||||
张青: 【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 | 【阿周的Eureka】-哔哩哔哩】 https://b23.tv/NGR0Ul5 添加到知识库
|
||||
assistant: 已安排代理处理知识库添加任务。
|
||||
assistant: ✅ 已安排代理处理【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读】的视频链接。
|
||||
|
||||
代理正在执行：
|
||||
- 环境变量检查
|
||||
- 链接解析和元数据提取
|
||||
- 内容下载
|
||||
- AI深度分析
|
||||
- 归档到知识库
|
||||
|
||||
完成后会自动汇报结果。📚
|
||||
assistant: ✅ Subagent knowledge-base finished
|
||||
|
||||
---
|
||||
|
||||
## ✅ 任务完成
|
||||
|
||||
### 处理结果
|
||||
|
||||
| 项目 | 内容 |
|
||||
|------|------|
|
||||
| **原始链接** | https://b23.tv/NGR0Ul5 |
|
||||
| **解析后链接** | https://www.bilibili.com/video/BV16cNMzpExh |
|
||||
| **标题** | 2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 |
|
||||
| **作者** | 阿周的Eureka |
|
||||
| **时长** | 07:16 |
|
||||
|
||||
### 执行步骤
|
||||
|
||||
1. ✅ 环境变量检查通过
|
||||
2. ✅ URL 解析（短链展开）
|
||||
3. ✅ 内容下载（音频、字幕已有）
|
||||
4. ✅ ASR（字幕已存在，跳过）
|
||||
5. ✅ **深度分析**（AI 生成分析报告）
|
||||
6. ✅ 归档到知识库
|
||||
7. ✅ 同步到 NAS
|
||||
|
||||
### 最终文件路径
|
||||
|
||||
```
|
||||
~/work/zq/30.资源/AI分析/2026-03-15/bilibili_BV16cNMzpExh.md
|
||||
```
|
||||
|
||||
### 分析报告统计
|
||||
|
||||
- 摘要长度：319 字
|
||||
- 主题数量：10 个
|
||||
- 关键见解：4 条
|
||||
- 标签数量：5 个
|
||||
user: Conversation info (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"message_id": "om_x100b54588d4de4a0c14df6ea4b56be0",
|
||||
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"sender": "张青",
|
||||
"timestamp": "Sun 2026-03-15 23:11 GMT+8"
|
||||
}
|
||||
```
|
||||
|
||||
Sender (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
|
||||
"id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"name": "张青"
|
||||
}
|
||||
```
|
||||
|
||||
[message_id: om_x100b54588d4de4a0c14df6ea4b56be0]
|
||||
张青: https://www.zhihu.com/question/1936375725931361485/answer/2003232153480226496?share_code=P3Sg6A8B8rNK&utm_psn=2016585020039517457 添加到知识库
|
||||
assistant: 已安排代理处理知识库添加任务。
|
||||
assistant: ✅ 已安排代理处理知乎问答链接。
|
||||
|
||||
代理正在执行下载和深度分析，完成后会自动汇报结果。📚
|
||||
assistant: ✅ Subagent knowledge-base finished
|
||||
|
||||
---
|
||||
|
||||
## ✅ 任务完成！
|
||||
|
||||
**知识库添加任务执行成功**
|
||||
|
||||
### 处理结果
|
||||
|
||||
| 项目 | 状态 |
|
||||
|------|------|
|
||||
| 环境变量检查 | ✅ 通过 |
|
||||
| URL 解析 | ✅ 知乎回答 |
|
||||
| 内容下载 | ✅ 成功 |
|
||||
| ASR 处理 | ⏭️ 跳过（文本内容） |
|
||||
| 深度分析 | ✅ 完成（耗时 170 秒） |
|
||||
| 归档 | ✅ 完成 |
|
||||
|
||||
### 最终文件路径
|
||||
|
||||
```
|
||||
~/work/zq/30.资源/AI分析/2026-03-15/zhihu_2003232153480226496_ai_agent_engineer.md
|
||||
```
|
||||
|
||||
### 内容摘要
|
||||
|
||||
**标题**: AI Agent工程师转型指南：从理论焦虑到实战高薪的路径拆解
|
||||
|
||||
**核心观点**:
|
||||
- 当前的就业窗口期更看重"应用落地"能力而非"模型训练"能力
|
||||
- 转型路径四步：API调用 → 工具使用 → 工程化 → 简历优化
|
||||
- 强调"动手做"优于"死磕理论"的实操哲学
|
||||
|
||||
### 过程中修复的问题
|
||||
|
||||
1. **环境变量配置**: 添加 `KB_ZHIHU_COOKIE` 环境变量
|
||||
2. **模块导入**: 创建 `kb_zhihu_metadata` 和 `kb_deep_analyzer` 符号链接
|
||||
3. **Playwright 异步问题**: 修改 ZhihuAdapter 使用 `asyncio.to_thread()` 运行同步代码
|
||||
4. **知乎回答 URL 构建**: 修改 pipeline 传递完整 `source_url` 给下载处理器
|
||||
5. **ASR 跳过逻辑**: 文本内容类型自动跳过 ASR 步骤
|
||||
@@ -0,0 +1,67 @@
|
||||
# Session: 2026-03-15 16:32:14 UTC
|
||||
|
||||
- **Session Key**: agent:knowledge-base:main
|
||||
- **Session ID**: 505c65bb-e683-4823-b725-2dbf21e91a4d
|
||||
- **Source**: feishu
|
||||
|
||||
## Conversation Summary
|
||||
|
||||
assistant: ✅ New session started · model: zhipu/glm-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: [[reply_to_current]] 📚 达康书记为您服务，蒋先生。深夜时分，有什么我可以协助您处理的吗？无论是工作区的整理、知识库维护，还是其他事务，我都在。
|
||||
user: Conversation info (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"message_id": "om_x100b545992d568a0c3511684eae15a5",
|
||||
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"sender": "张青",
|
||||
"timestamp": "Mon 2026-03-16 00:26 GMT+8"
|
||||
}
|
||||
```
|
||||
|
||||
Sender (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
|
||||
"id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"name": "张青"
|
||||
}
|
||||
```
|
||||
|
||||
[message_id: om_x100b545992d568a0c3511684eae15a5]
|
||||
张青: https://www.zhihu.com/question/1936375725931361485/answer/2003232153480226496?share_code=P3Sg6A8B8rNK&utm_psn=2016585020039517457 添加到知识库
|
||||
assistant: ✅ 已添加到知识库
|
||||
|
||||
**标题**：怎么成为一个 AI Agent 工程师？
|
||||
**作者**：啦啦啦啦
|
||||
**来源**：知乎回答
|
||||
|
||||
**内容摘要**：作者分享了从机械专业转行成为 AI Agent 工程师并获得 30k 高薪的经验，提出了四步学习路线：
|
||||
1. 掌握模型调用与提示词控制
|
||||
2. 让模型学会使用工具（RAG、代码执行）
|
||||
3. 解决工程化难题，将 Demo 转化为稳定系统
|
||||
4. 撰写能体现商业价值的简历
|
||||
|
||||
**归档位置**：`~/work/zq/30.资源/AI分析/2026-03-16/zhihu_2003232153480226496.md`
|
||||
user: Conversation info (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"message_id": "om_x100b5459a51f60a4c11dbfc6068d690",
|
||||
"sender_id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"sender": "张青",
|
||||
"timestamp": "Mon 2026-03-16 00:30 GMT+8"
|
||||
}
|
||||
```
|
||||
|
||||
Sender (untrusted metadata):
|
||||
```json
|
||||
{
|
||||
"label": "张青 (ou_9351c287f42069fa30366ac641d24df7)",
|
||||
"id": "ou_9351c287f42069fa30366ac641d24df7",
|
||||
"name": "张青"
|
||||
}
|
||||
```
|
||||
|
||||
[message_id: om_x100b5459a51f60a4c11dbfc6068d690]
|
||||
张青: 【2-3月宏观经济运行状态复盘与推演 + 2026年政府工作报告解读 | 【阿周的Eureka】-哔哩哔哩】 https://b23.tv/NGR0Ul5 添加到知识库
|
||||
assistant: 正在处理中...
|
||||
@@ -0,0 +1,10 @@
|
||||
# Session: 2026-03-15 16:33:06 UTC
|
||||
|
||||
- **Session Key**: agent:knowledge-base:main
|
||||
- **Session ID**: 65909187-7f10-4a23-8baa-6b66f752859e
|
||||
- **Source**: feishu
|
||||
|
||||
## Conversation Summary
|
||||
|
||||
assistant: ✅ New session started · model: zhipu/glm-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.
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"agent:ui-designer:main": {
|
||||
"sessionId": "ff92b555-b242-4e52-a7da-9c8f82ca1c8a",
|
||||
"updatedAt": 1773508884420,
|
||||
"sessionId": "fe685776-cc8c-489c-b409-e461e3d3cbfa",
|
||||
"updatedAt": 1773564045652,
|
||||
"systemSent": true,
|
||||
"abortedLastRun": false,
|
||||
"chatType": "direct",
|
||||
@@ -22,7 +22,7 @@
|
||||
"to": "user:ou_9847ce84b960736c14554730b41e4957",
|
||||
"accountId": "feishu-art"
|
||||
},
|
||||
"sessionFile": "/home/starmen1265/.openclaw/agents/ui-designer/sessions/ff92b555-b242-4e52-a7da-9c8f82ca1c8a.jsonl",
|
||||
"sessionFile": "/home/starmen1265/.openclaw/agents/ui-designer/sessions/fe685776-cc8c-489c-b409-e461e3d3cbfa.jsonl",
|
||||
"compactionCount": 0,
|
||||
"skillsSnapshot": {
|
||||
"prompt": "\n\nThe following skills provide specialized instructions for specific tasks.\nUse the read tool to load a skill's file when the task matches its description.\nWhen a skill file references a relative path, resolve it against the skill directory (parent of SKILL.md / dirname of the path) and use that absolute path in tool commands.\n\n<available_skills>\n <skill>\n <name>capability-evolver</name>\n <description>A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.</description>\n <location>~/.openclaw/skills/capability-evolver/SKILL.md</location>\n </skill>\n</available_skills>",
|
||||
@@ -51,8 +51,8 @@
|
||||
"model": "glm-5",
|
||||
"systemPromptReport": {
|
||||
"source": "run",
|
||||
"generatedAt": 1773508877788,
|
||||
"sessionId": "ff92b555-b242-4e52-a7da-9c8f82ca1c8a",
|
||||
"generatedAt": 1773564010472,
|
||||
"sessionId": "fe685776-cc8c-489c-b409-e461e3d3cbfa",
|
||||
"sessionKey": "agent:ui-designer:main",
|
||||
"provider": "zhipu",
|
||||
"model": "glm-5",
|
||||
@@ -64,8 +64,8 @@
|
||||
"sandboxed": false
|
||||
},
|
||||
"systemPrompt": {
|
||||
"chars": 19307,
|
||||
"projectContextChars": 6822,
|
||||
"chars": 22552,
|
||||
"projectContextChars": 10067,
|
||||
"nonProjectContextChars": 12485
|
||||
},
|
||||
"injectedWorkspaceFiles": [
|
||||
@@ -139,6 +139,36 @@
|
||||
"injectedChars": 616,
|
||||
"truncated": false
|
||||
},
|
||||
{
|
||||
"path": "SELF_IMPROVEMENT_REMINDER.md",
|
||||
"rawChars": 616,
|
||||
"injectedChars": 616,
|
||||
"truncated": false
|
||||
},
|
||||
{
|
||||
"path": "SELF_IMPROVEMENT_REMINDER.md",
|
||||
"rawChars": 616,
|
||||
"injectedChars": 616,
|
||||
"truncated": false
|
||||
},
|
||||
{
|
||||
"path": "SELF_IMPROVEMENT_REMINDER.md",
|
||||
"rawChars": 616,
|
||||
"injectedChars": 616,
|
||||
"truncated": false
|
||||
},
|
||||
{
|
||||
"path": "SELF_IMPROVEMENT_REMINDER.md",
|
||||
"rawChars": 616,
|
||||
"injectedChars": 616,
|
||||
"truncated": false
|
||||
},
|
||||
{
|
||||
"path": "SELF_IMPROVEMENT_REMINDER.md",
|
||||
"rawChars": 616,
|
||||
"injectedChars": 616,
|
||||
"truncated": false
|
||||
},
|
||||
{
|
||||
"path": "SELF_IMPROVEMENT_REMINDER.md",
|
||||
"rawChars": 616,
|
||||
@@ -366,13 +396,13 @@
|
||||
]
|
||||
}
|
||||
},
|
||||
"cacheRead": 14400,
|
||||
"cacheRead": 15232,
|
||||
"cacheWrite": 0,
|
||||
"totalTokensFresh": true,
|
||||
"contextTokens": 200000,
|
||||
"inputTokens": 1169,
|
||||
"outputTokens": 135,
|
||||
"totalTokens": 15569
|
||||
"inputTokens": 13122,
|
||||
"outputTokens": 1320,
|
||||
"totalTokens": 28354
|
||||
},
|
||||
"agent:ui-designer:cron:78b64c2f-7f91-47ff-9250-d13f546eb21f": {
|
||||
"sessionId": "03e44b46-c707-4a9f-bf3d-1818aafdcde2",
|
||||
|
||||
+28
-27
@@ -7,7 +7,7 @@
|
||||
"name": "backup-openclaw-json",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1772261581796,
|
||||
"updatedAtMs": 1773511209521,
|
||||
"updatedAtMs": 1773597621815,
|
||||
"schedule": {
|
||||
"kind": "cron",
|
||||
"expr": "0 2 * * *",
|
||||
@@ -23,10 +23,10 @@
|
||||
"mode": "announce"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773597600000,
|
||||
"lastRunAtMs": 1773511200006,
|
||||
"nextRunAtMs": 1773684000000,
|
||||
"lastRunAtMs": 1773597600004,
|
||||
"lastStatus": "ok",
|
||||
"lastDurationMs": 9515,
|
||||
"lastDurationMs": 21811,
|
||||
"consecutiveErrors": 0,
|
||||
"lastRunStatus": "ok",
|
||||
"lastDelivered": true,
|
||||
@@ -59,7 +59,8 @@
|
||||
"consecutiveErrors": 0,
|
||||
"lastRunStatus": "ok",
|
||||
"lastDeliveryStatus": "delivered",
|
||||
"lastDelivered": true
|
||||
"lastDelivered": true,
|
||||
"runningAtMs": 1773598200004
|
||||
},
|
||||
"delivery": {
|
||||
"mode": "announce"
|
||||
@@ -71,7 +72,7 @@
|
||||
"name": "capability-evolver-daily",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1772550743528,
|
||||
"updatedAtMs": 1773426600014,
|
||||
"updatedAtMs": 1773513000030,
|
||||
"schedule": {
|
||||
"kind": "cron",
|
||||
"expr": "20 2 * * *",
|
||||
@@ -92,14 +93,14 @@
|
||||
"to": "feishu-pm"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773512400000,
|
||||
"lastRunAtMs": 1773426000004,
|
||||
"nextRunAtMs": 1773598800000,
|
||||
"lastRunAtMs": 1773512400004,
|
||||
"lastStatus": "error",
|
||||
"lastDurationMs": 600010,
|
||||
"consecutiveErrors": 1,
|
||||
"lastDurationMs": 600026,
|
||||
"consecutiveErrors": 2,
|
||||
"lastRunStatus": "error",
|
||||
"lastDeliveryStatus": "unknown",
|
||||
"runningAtMs": 1773512400002
|
||||
"lastError": "cron: job execution timed out"
|
||||
}
|
||||
},
|
||||
{
|
||||
@@ -109,7 +110,7 @@
|
||||
"description": "每天凌晨2:30整理昨天的已完成任务到每日回顾",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1741484880000,
|
||||
"updatedAtMs": 1773426622389,
|
||||
"updatedAtMs": 1773513010858,
|
||||
"schedule": {
|
||||
"kind": "cron",
|
||||
"expr": "30 2 * * *",
|
||||
@@ -127,11 +128,11 @@
|
||||
"channel": "last"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773513000000,
|
||||
"lastRunAtMs": 1773426602034,
|
||||
"nextRunAtMs": 1773599400000,
|
||||
"lastRunAtMs": 1773513002054,
|
||||
"lastRunStatus": "ok",
|
||||
"lastStatus": "ok",
|
||||
"lastDurationMs": 20355,
|
||||
"lastDurationMs": 8804,
|
||||
"lastDelivered": true,
|
||||
"lastDeliveryStatus": "delivered",
|
||||
"consecutiveErrors": 0
|
||||
@@ -143,7 +144,7 @@
|
||||
"name": "zq_workspace_sync",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1772551807455,
|
||||
"updatedAtMs": 1773427200007,
|
||||
"updatedAtMs": 1773513600005,
|
||||
"schedule": {
|
||||
"expr": "40 2 * * *",
|
||||
"kind": "cron",
|
||||
@@ -156,10 +157,10 @@
|
||||
"text": "执行 zq 工作区同步：bash ~/.openclaw/cron/scripts/zq_workspace_sync.sh"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773513600000,
|
||||
"lastRunAtMs": 1773427200006,
|
||||
"nextRunAtMs": 1773600000000,
|
||||
"lastRunAtMs": 1773513600005,
|
||||
"lastStatus": "skipped",
|
||||
"lastDurationMs": 1,
|
||||
"lastDurationMs": 0,
|
||||
"consecutiveErrors": 0,
|
||||
"lastRunStatus": "skipped",
|
||||
"lastDeliveryStatus": "not-requested",
|
||||
@@ -173,7 +174,7 @@
|
||||
"description": "每天早上8点整理与各个 AI 代理的对话记录",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1772776369645,
|
||||
"updatedAtMs": 1773446431755,
|
||||
"updatedAtMs": 1773532816520,
|
||||
"schedule": {
|
||||
"kind": "cron",
|
||||
"expr": "0 8 * * *",
|
||||
@@ -191,11 +192,11 @@
|
||||
"channel": "last"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773532800000,
|
||||
"lastRunAtMs": 1773446400004,
|
||||
"nextRunAtMs": 1773619200000,
|
||||
"lastRunAtMs": 1773532800006,
|
||||
"lastRunStatus": "ok",
|
||||
"lastStatus": "ok",
|
||||
"lastDurationMs": 31751,
|
||||
"lastDurationMs": 16514,
|
||||
"lastDelivered": true,
|
||||
"lastDeliveryStatus": "delivered",
|
||||
"consecutiveErrors": 0
|
||||
@@ -208,7 +209,7 @@
|
||||
"description": "每天7点同步提醒到CalDAV日历",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1772791528528,
|
||||
"updatedAtMs": 1773442830136,
|
||||
"updatedAtMs": 1773529221353,
|
||||
"schedule": {
|
||||
"kind": "cron",
|
||||
"expr": "0 7 * * *",
|
||||
@@ -226,11 +227,11 @@
|
||||
"channel": "last"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773529200000,
|
||||
"lastRunAtMs": 1773442800005,
|
||||
"nextRunAtMs": 1773615600000,
|
||||
"lastRunAtMs": 1773529200004,
|
||||
"lastRunStatus": "ok",
|
||||
"lastStatus": "ok",
|
||||
"lastDurationMs": 30131,
|
||||
"lastDurationMs": 21349,
|
||||
"lastDeliveryStatus": "delivered",
|
||||
"consecutiveErrors": 0,
|
||||
"lastDelivered": true
|
||||
|
||||
+25
-25
@@ -7,7 +7,7 @@
|
||||
"name": "backup-openclaw-json",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1772261581796,
|
||||
"updatedAtMs": 1773511209521,
|
||||
"updatedAtMs": 1773597621815,
|
||||
"schedule": {
|
||||
"kind": "cron",
|
||||
"expr": "0 2 * * *",
|
||||
@@ -23,10 +23,10 @@
|
||||
"mode": "announce"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773597600000,
|
||||
"lastRunAtMs": 1773511200006,
|
||||
"nextRunAtMs": 1773684000000,
|
||||
"lastRunAtMs": 1773597600004,
|
||||
"lastStatus": "ok",
|
||||
"lastDurationMs": 9515,
|
||||
"lastDurationMs": 21811,
|
||||
"consecutiveErrors": 0,
|
||||
"lastRunStatus": "ok",
|
||||
"lastDelivered": true,
|
||||
@@ -71,7 +71,7 @@
|
||||
"name": "capability-evolver-daily",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1772550743528,
|
||||
"updatedAtMs": 1773426600014,
|
||||
"updatedAtMs": 1773513000030,
|
||||
"schedule": {
|
||||
"kind": "cron",
|
||||
"expr": "20 2 * * *",
|
||||
@@ -92,11 +92,11 @@
|
||||
"to": "feishu-pm"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773512400000,
|
||||
"lastRunAtMs": 1773426000004,
|
||||
"nextRunAtMs": 1773598800000,
|
||||
"lastRunAtMs": 1773512400004,
|
||||
"lastStatus": "error",
|
||||
"lastDurationMs": 600010,
|
||||
"consecutiveErrors": 1,
|
||||
"lastDurationMs": 600026,
|
||||
"consecutiveErrors": 2,
|
||||
"lastRunStatus": "error",
|
||||
"lastDeliveryStatus": "unknown",
|
||||
"lastError": "cron: job execution timed out"
|
||||
@@ -109,7 +109,7 @@
|
||||
"description": "每天凌晨2:30整理昨天的已完成任务到每日回顾",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1741484880000,
|
||||
"updatedAtMs": 1773426622389,
|
||||
"updatedAtMs": 1773513010858,
|
||||
"schedule": {
|
||||
"kind": "cron",
|
||||
"expr": "30 2 * * *",
|
||||
@@ -127,11 +127,11 @@
|
||||
"channel": "last"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773513000000,
|
||||
"lastRunAtMs": 1773426602034,
|
||||
"nextRunAtMs": 1773599400000,
|
||||
"lastRunAtMs": 1773513002054,
|
||||
"lastRunStatus": "ok",
|
||||
"lastStatus": "ok",
|
||||
"lastDurationMs": 20355,
|
||||
"lastDurationMs": 8804,
|
||||
"lastDelivered": true,
|
||||
"lastDeliveryStatus": "delivered",
|
||||
"consecutiveErrors": 0
|
||||
@@ -143,7 +143,7 @@
|
||||
"name": "zq_workspace_sync",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1772551807455,
|
||||
"updatedAtMs": 1773427200007,
|
||||
"updatedAtMs": 1773513600005,
|
||||
"schedule": {
|
||||
"expr": "40 2 * * *",
|
||||
"kind": "cron",
|
||||
@@ -156,10 +156,10 @@
|
||||
"text": "执行 zq 工作区同步：bash ~/.openclaw/cron/scripts/zq_workspace_sync.sh"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773513600000,
|
||||
"lastRunAtMs": 1773427200006,
|
||||
"nextRunAtMs": 1773600000000,
|
||||
"lastRunAtMs": 1773513600005,
|
||||
"lastStatus": "skipped",
|
||||
"lastDurationMs": 1,
|
||||
"lastDurationMs": 0,
|
||||
"consecutiveErrors": 0,
|
||||
"lastRunStatus": "skipped",
|
||||
"lastDeliveryStatus": "not-requested",
|
||||
@@ -173,7 +173,7 @@
|
||||
"description": "每天早上8点整理与各个 AI 代理的对话记录",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1772776369645,
|
||||
"updatedAtMs": 1773446431755,
|
||||
"updatedAtMs": 1773532816520,
|
||||
"schedule": {
|
||||
"kind": "cron",
|
||||
"expr": "0 8 * * *",
|
||||
@@ -191,11 +191,11 @@
|
||||
"channel": "last"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773532800000,
|
||||
"lastRunAtMs": 1773446400004,
|
||||
"nextRunAtMs": 1773619200000,
|
||||
"lastRunAtMs": 1773532800006,
|
||||
"lastRunStatus": "ok",
|
||||
"lastStatus": "ok",
|
||||
"lastDurationMs": 31751,
|
||||
"lastDurationMs": 16514,
|
||||
"lastDelivered": true,
|
||||
"lastDeliveryStatus": "delivered",
|
||||
"consecutiveErrors": 0
|
||||
@@ -208,7 +208,7 @@
|
||||
"description": "每天7点同步提醒到CalDAV日历",
|
||||
"enabled": true,
|
||||
"createdAtMs": 1772791528528,
|
||||
"updatedAtMs": 1773442830136,
|
||||
"updatedAtMs": 1773529221353,
|
||||
"schedule": {
|
||||
"kind": "cron",
|
||||
"expr": "0 7 * * *",
|
||||
@@ -226,11 +226,11 @@
|
||||
"channel": "last"
|
||||
},
|
||||
"state": {
|
||||
"nextRunAtMs": 1773529200000,
|
||||
"lastRunAtMs": 1773442800005,
|
||||
"nextRunAtMs": 1773615600000,
|
||||
"lastRunAtMs": 1773529200004,
|
||||
"lastRunStatus": "ok",
|
||||
"lastStatus": "ok",
|
||||
"lastDurationMs": 30131,
|
||||
"lastDurationMs": 21349,
|
||||
"lastDeliveryStatus": "delivered",
|
||||
"consecutiveErrors": 0,
|
||||
"lastDelivered": true
|
||||
|
||||
@@ -1,4 +1,9 @@
|
||||
{
|
||||
"om_x100b546dc09400acb4a5d0af66ca3c9": 1773508838286,
|
||||
"om_x100b546dde1c34a4b49a888912755ac": 1773508877713
|
||||
"om_x100b546dde1c34a4b49a888912755ac": 1773508877713,
|
||||
"om_x100b545236d06ca0b100846cfa37e9d": 1773561730503,
|
||||
"om_x100b5452d99e18a4b32ab9bdc02463e": 1773562229918,
|
||||
"om_x100b5452972138a8b213d14996ffdbd": 1773563295479,
|
||||
"om_x100b5452a60eaca0b10319a26ed640f": 1773563532727,
|
||||
"om_x100b5453485b4ca0b37c3413c41bba3": 1773564010102
|
||||
}
|
||||
|
||||
@@ -9,5 +9,24 @@
|
||||
"om_x100b546df49c10a0b106d597fd348a3": 1773509541678,
|
||||
"om_x100b546d16e6e4a0c42bef93bca2224": 1773511894148,
|
||||
"om_x100b546d144668a0c3583fa56a2597d": 1773511924836,
|
||||
"om_x100b546d112090acc3d096e37b38dc9": 1773512010988
|
||||
"om_x100b546d112090acc3d096e37b38dc9": 1773512010988,
|
||||
"om_x100b545c390898a4c379f319d607993": 1773569917108,
|
||||
"om_x100b545c365b94a0c44e709df0f5422": 1773569929804,
|
||||
"om_x100b545cce0a04a0c4a26c0203c2b13": 1773570060994,
|
||||
"om_x100b545ccf6e6ca0c4571d12c405d8f": 1773570074717,
|
||||
"om_x100b545cccde84acc4d8fa9b0f0c852": 1773570081700,
|
||||
"om_x100b545ccab08ca0c12b5e6c715a1aa": 1773570120321,
|
||||
"om_x100b545cca14e8a4c4dcc592a9c425d": 1773570126138,
|
||||
"om_x100b545c9fd988a4b4bcc03ec7b3368": 1773571345806,
|
||||
"om_x100b5458d25a5ca0c2cf04550bf07cc": 1773586890090,
|
||||
"om_x100b5458d055dca4c4dd20469577549": 1773586922136,
|
||||
"om_x100b54588d4de4a0c14df6ea4b56be0": 1773587512581,
|
||||
"om_x100b54599445b4a0c4def897c8a2700": 1773591976996,
|
||||
"om_x100b545992d568a0c3511684eae15a5": 1773592002087,
|
||||
"om_x100b5459a51f60a4c11dbfc6068d690": 1773592253777,
|
||||
"om_x100b5459be53f0a0c42f8fe338d2510": 1773592330439,
|
||||
"om_x100b5459be2d7ca4c32ee845e40c605": 1773592334472,
|
||||
"om_x100b5459bd4168a0c36ca5cf1588b13": 1773592377222,
|
||||
"om_x100b5459bae828acc347e53e7e5de8d": 1773592386779,
|
||||
"om_x100b5459bb6404a0c4ade83756a546a": 1773592411047
|
||||
}
|
||||
|
||||
@@ -10,7 +10,7 @@
|
||||
"operator.approvals",
|
||||
"operator.pairing"
|
||||
],
|
||||
"updatedAtMs": 1773511814965
|
||||
"updatedAtMs": 1773597621245
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -39,3 +39,9 @@
|
||||
{"timestamp":"2026-03-14T17:06:39.062Z","action":"new","sessionKey":"agent:haonan:main","senderId":"ou_be83febac9ee2afaa343c642bc697c48","source":"feishu"}
|
||||
{"timestamp":"2026-03-14T18:11:34.528Z","action":"new","sessionKey":"agent:knowledge-base:main","senderId":"ou_9351c287f42069fa30366ac641d24df7","source":"feishu"}
|
||||
{"timestamp":"2026-03-14T18:12:04.888Z","action":"new","sessionKey":"agent:knowledge-base:main","senderId":"ou_9351c287f42069fa30366ac641d24df7","source":"feishu"}
|
||||
{"timestamp":"2026-03-15T10:18:37.473Z","action":"new","sessionKey":"agent:knowledge-base:main","senderId":"ou_9351c287f42069fa30366ac641d24df7","source":"feishu"}
|
||||
{"timestamp":"2026-03-15T10:21:21.748Z","action":"new","sessionKey":"agent:knowledge-base:main","senderId":"ou_9351c287f42069fa30366ac641d24df7","source":"feishu"}
|
||||
{"timestamp":"2026-03-15T15:01:30.452Z","action":"new","sessionKey":"agent:knowledge-base:main","senderId":"ou_9351c287f42069fa30366ac641d24df7","source":"feishu"}
|
||||
{"timestamp":"2026-03-15T16:26:17.361Z","action":"new","sessionKey":"agent:knowledge-base:main","senderId":"ou_9351c287f42069fa30366ac641d24df7","source":"feishu"}
|
||||
{"timestamp":"2026-03-15T16:32:14.537Z","action":"new","sessionKey":"agent:knowledge-base:main","senderId":"ou_9351c287f42069fa30366ac641d24df7","source":"feishu"}
|
||||
{"timestamp":"2026-03-15T16:33:06.821Z","action":"new","sessionKey":"agent:knowledge-base:main","senderId":"ou_9351c287f42069fa30366ac641d24df7","source":"feishu"}
|
||||
|
||||
Binary file not shown.
Binary file not shown.
@@ -180,8 +180,8 @@ class DeepAnalyzer:
|
||||
# 解析结果
|
||||
result = self._parse_analysis(full_analysis, text, duration, content_type)
|
||||
|
||||
# 文章类型：追加原文
|
||||
if content_type == "article":
|
||||
# 文章/回答类型：追加原文
|
||||
if content_type in ("article", "answer", "zhuanlan"):
|
||||
result.original_text = text
|
||||
|
||||
return result
|
||||
|
||||
@@ -1,7 +1,14 @@
|
||||
import re
|
||||
from bs4 import BeautifulSoup
|
||||
from markdownify import MarkdownConverter as _MarkdownConverter
|
||||
|
||||
class MarkdownConverter:
|
||||
"""HTML 转 Markdown 转换器，保留完整格式"""
|
||||
"""HTML 转 Markdown 转换器，保留完整格式
|
||||
|
||||
处理知乎等平台的图片懒加载机制：
|
||||
- 知乎图片的 src 属性可能是 SVG 占位符 (data:image/svg+xml;...)
|
||||
- 真实图片 URL 存储在 data-actualsrc 或 data-original 属性中
|
||||
"""
|
||||
|
||||
def __init__(self):
|
||||
self.converter = _MarkdownConverter(
|
||||
@@ -13,5 +20,44 @@ class MarkdownConverter:
|
||||
)
|
||||
|
||||
def convert(self, html: str) -> str:
|
||||
"""转换 HTML 为 Markdown"""
|
||||
"""转换 HTML 为 Markdown
|
||||
|
||||
Args:
|
||||
html: 输入的 HTML 字符串
|
||||
|
||||
Returns:
|
||||
转换后的 Markdown 字符串
|
||||
"""
|
||||
# 预处理：处理懒加载图片
|
||||
html = self._fix_lazy_load_images(html)
|
||||
return self.converter.convert(html)
|
||||
|
||||
def _fix_lazy_load_images(self, html: str) -> str:
|
||||
"""修复懒加载图片的 src 属性
|
||||
|
||||
将 data-actualsrc 或 data-original 属性的值替换到 src 属性中，
|
||||
以便 markdownify 能够正确提取真实图片 URL。
|
||||
|
||||
Args:
|
||||
html: 输入的 HTML 字符串
|
||||
|
||||
Returns:
|
||||
处理后的 HTML 字符串
|
||||
"""
|
||||
soup = BeautifulSoup(html, 'html.parser')
|
||||
|
||||
for img in soup.find_all('img'):
|
||||
src = img.get('src', '')
|
||||
|
||||
# 如果 src 不是占位符，保持原样
|
||||
if not src or not src.startswith('data:'):
|
||||
continue
|
||||
|
||||
# 尝试获取真实图片 URL
|
||||
# 优先 data-actualsrc，其次 data-original
|
||||
real_src = img.get('data-actualsrc') or img.get('data-original')
|
||||
|
||||
if real_src:
|
||||
img['src'] = real_src
|
||||
|
||||
return str(soup)
|
||||
|
||||
Reference in New Issue
Block a user