diff --git a/agents/haonan/sessions/sessions.json b/agents/haonan/sessions/sessions.json index 39837d5..fdef5fb 100644 --- a/agents/haonan/sessions/sessions.json +++ b/agents/haonan/sessions/sessions.json @@ -727,8 +727,8 @@ "memoryFlushCompactionCount": 0 }, "agent:haonan:cron:41396aeb-6e3a-47b2-9bd3-9156a348c1dc": { - "sessionId": "7c1a6bfd-b5b6-4ac5-98f3-6a73aec18a8f", - "updatedAt": 1773511200009, + "sessionId": "a42c9fa0-04d2-41a8-ae29-fedfa8c1bdda", + "updatedAt": 1773597600006, "systemSent": true, "model": "glm-5", "contextTokens": 200000, @@ -769,11 +769,11 @@ "version": 0 }, "modelProvider": "zhipu", - "inputTokens": 4500, - "outputTokens": 194, - "totalTokens": 16577, + "inputTokens": 11356, + "outputTokens": 531, + "totalTokens": 17361, "totalTokensFresh": true, - "cacheRead": 28544, + "cacheRead": 90112, "cacheWrite": 0 }, "agent:haonan:cron:f03b184f-5f1d-4093-ae1b-fc9fe0b59eef": { @@ -873,8 +873,8 @@ "cacheWrite": 0 }, "agent:haonan:cron:aa4d2de9-79be-4262-83ee-af8824793bfc": { - "sessionId": "b5ab88d0-f6d3-4b73-8d96-e6a58f5e85e4", - "updatedAt": 1773511800007, + "sessionId": "69fcc73b-3185-4ad9-aacd-e44989b770d9", + "updatedAt": 1773598200007, "systemSent": true, "label": "Cron: openclaw-git-sync", "skillsSnapshot": { @@ -922,113 +922,6 @@ "cacheRead": 49408, "cacheWrite": 0 }, - "agent:haonan:cron:f03b184f-5f1d-4093-ae1b-fc9fe0b59eef:run:39ee16c0-380a-41e7-ad85-f88e2312cc38": { - "sessionId": "39ee16c0-380a-41e7-ad85-f88e2312cc38", - "updatedAt": 1773426000007, - "systemSent": true, - "model": "glm-4.7-FlashX", - "contextTokens": 200000, - "label": "Cron: capability-evolver-daily", - "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\n \n capability-evolver\n A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.\n ~/.openclaw/skills/capability-evolver/SKILL.md\n \n \n clawlist\n MUST use for any multi-step project, long-running task, or infinite monitoring workflow. Plan, execute, track, and verify tasks with checkpoint validation. For projects, automation, and ongoing operations.\n ~/.openclaw/skills/clawlist/SKILL.md\n \n", - "skills": [ - { - "name": "capability-evolver" - }, - { - "name": "clawlist" - } - ], - "skillFilter": [ - "clawlist", - "capability-evolver", - "self-improving-agent" - ], - "resolvedSkills": [ - { - "name": "capability-evolver", - "description": "A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.", - "filePath": "/home/starmen1265/.openclaw/skills/capability-evolver/SKILL.md", - "baseDir": "/home/starmen1265/.openclaw/skills/capability-evolver", - "source": "openclaw-managed", - "disableModelInvocation": false - }, - { - "name": "clawlist", - "description": "MUST use for any multi-step project, long-running task, or infinite monitoring workflow. Plan, execute, track, and verify tasks with checkpoint validation. For projects, automation, and ongoing operations.", - "filePath": "/home/starmen1265/.openclaw/skills/clawlist/SKILL.md", - "baseDir": "/home/starmen1265/.openclaw/skills/clawlist", - "source": "openclaw-managed", - "disableModelInvocation": false - } - ], - "version": 0 - }, - "modelProvider": "zhipu", - "inputTokens": 153698, - "outputTokens": 6902, - "totalTokens": 33385, - "deliveryContext": { - "channel": "webchat" - }, - "lastChannel": "webchat", - "channel": "webchat", - "sessionFile": "/home/starmen1265/.openclaw/agents/haonan/sessions/ccc40ca7-7876-4d82-ab84-7b790feddc19.jsonl", - "abortedLastRun": false, - "totalTokensFresh": true, - "cacheRead": 384894, - "cacheWrite": 0 - }, - "agent:haonan:cron:41396aeb-6e3a-47b2-9bd3-9156a348c1dc:run:7c1a6bfd-b5b6-4ac5-98f3-6a73aec18a8f": { - "sessionId": "7c1a6bfd-b5b6-4ac5-98f3-6a73aec18a8f", - "updatedAt": 1773511200009, - "systemSent": true, - "model": "glm-5", - "contextTokens": 200000, - "label": "Cron: backup-openclaw-json", - "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\n \n capability-evolver\n A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.\n ~/.openclaw/skills/capability-evolver/SKILL.md\n \n \n clawlist\n MUST use for any multi-step project, long-running task, or infinite monitoring workflow. Plan, execute, track, and verify tasks with checkpoint validation. For projects, automation, and ongoing operations.\n ~/.openclaw/skills/clawlist/SKILL.md\n \n", - "skills": [ - { - "name": "capability-evolver" - }, - { - "name": "clawlist" - } - ], - "skillFilter": [ - "clawlist", - "capability-evolver", - "self-improving-agent" - ], - "resolvedSkills": [ - { - "name": "capability-evolver", - "description": "A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.", - "filePath": "/home/starmen1265/.openclaw/skills/capability-evolver/SKILL.md", - "baseDir": "/home/starmen1265/.openclaw/skills/capability-evolver", - "source": "openclaw-managed", - "disableModelInvocation": false - }, - { - "name": "clawlist", - "description": "MUST use for any multi-step project, long-running task, or infinite monitoring workflow. Plan, execute, track, and verify tasks with checkpoint validation. For projects, automation, and ongoing operations.", - "filePath": "/home/starmen1265/.openclaw/skills/clawlist/SKILL.md", - "baseDir": "/home/starmen1265/.openclaw/skills/clawlist", - "source": "openclaw-managed", - "disableModelInvocation": false - } - ], - "version": 0 - }, - "modelProvider": "zhipu", - "inputTokens": 4500, - "outputTokens": 194, - "totalTokens": 16577, - "totalTokensFresh": true, - "cacheRead": 28544, - "cacheWrite": 0 - }, "agent:haonan:cron:aa4d2de9-79be-4262-83ee-af8824793bfc:run:b5ab88d0-f6d3-4b73-8d96-e6a58f5e85e4": { "sessionId": "b5ab88d0-f6d3-4b73-8d96-e6a58f5e85e4", "updatedAt": 1773511800007, @@ -1135,5 +1028,105 @@ "totalTokensFresh": true, "cacheRead": 384894, "cacheWrite": 0 + }, + "agent:haonan:cron:41396aeb-6e3a-47b2-9bd3-9156a348c1dc:run:a42c9fa0-04d2-41a8-ae29-fedfa8c1bdda": { + "sessionId": "a42c9fa0-04d2-41a8-ae29-fedfa8c1bdda", + "updatedAt": 1773597600006, + "systemSent": true, + "model": "glm-5", + "contextTokens": 200000, + "label": "Cron: backup-openclaw-json", + "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\n \n capability-evolver\n A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.\n ~/.openclaw/skills/capability-evolver/SKILL.md\n \n \n clawlist\n MUST use for any multi-step project, long-running task, or infinite monitoring workflow. Plan, execute, track, and verify tasks with checkpoint validation. For projects, automation, and ongoing operations.\n ~/.openclaw/skills/clawlist/SKILL.md\n \n", + "skills": [ + { + "name": "capability-evolver" + }, + { + "name": "clawlist" + } + ], + "skillFilter": [ + "clawlist", + "capability-evolver", + "self-improving-agent" + ], + "resolvedSkills": [ + { + "name": "capability-evolver", + "description": "A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.", + "filePath": "/home/starmen1265/.openclaw/skills/capability-evolver/SKILL.md", + "baseDir": "/home/starmen1265/.openclaw/skills/capability-evolver", + "source": "openclaw-managed", + "disableModelInvocation": false + }, + { + "name": "clawlist", + "description": "MUST use for any multi-step project, long-running task, or infinite monitoring workflow. Plan, execute, track, and verify tasks with checkpoint validation. For projects, automation, and ongoing operations.", + "filePath": "/home/starmen1265/.openclaw/skills/clawlist/SKILL.md", + "baseDir": "/home/starmen1265/.openclaw/skills/clawlist", + "source": "openclaw-managed", + "disableModelInvocation": false + } + ], + "version": 0 + }, + "modelProvider": "zhipu", + "inputTokens": 11356, + "outputTokens": 531, + "totalTokens": 17361, + "totalTokensFresh": true, + "cacheRead": 90112, + "cacheWrite": 0 + }, + "agent:haonan:cron:aa4d2de9-79be-4262-83ee-af8824793bfc:run:69fcc73b-3185-4ad9-aacd-e44989b770d9": { + "sessionId": "69fcc73b-3185-4ad9-aacd-e44989b770d9", + "updatedAt": 1773598200007, + "systemSent": true, + "label": "Cron: openclaw-git-sync", + "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\n \n capability-evolver\n A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.\n ~/.openclaw/skills/capability-evolver/SKILL.md\n \n \n clawlist\n MUST use for any multi-step project, long-running task, or infinite monitoring workflow. Plan, execute, track, and verify tasks with checkpoint validation. For projects, automation, and ongoing operations.\n ~/.openclaw/skills/clawlist/SKILL.md\n \n", + "skills": [ + { + "name": "capability-evolver" + }, + { + "name": "clawlist" + } + ], + "skillFilter": [ + "clawlist", + "capability-evolver", + "self-improving-agent" + ], + "resolvedSkills": [ + { + "name": "capability-evolver", + "description": "A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.", + "filePath": "/home/starmen1265/.openclaw/skills/capability-evolver/SKILL.md", + "baseDir": "/home/starmen1265/.openclaw/skills/capability-evolver", + "source": "openclaw-managed", + "disableModelInvocation": false + }, + { + "name": "clawlist", + "description": "MUST use for any multi-step project, long-running task, or infinite monitoring workflow. Plan, execute, track, and verify tasks with checkpoint validation. For projects, automation, and ongoing operations.", + "filePath": "/home/starmen1265/.openclaw/skills/clawlist/SKILL.md", + "baseDir": "/home/starmen1265/.openclaw/skills/clawlist", + "source": "openclaw-managed", + "disableModelInvocation": false + } + ], + "version": 0 + }, + "modelProvider": "zhipu", + "model": "glm-5", + "contextTokens": 200000, + "inputTokens": 642, + "outputTokens": 302, + "totalTokens": 16931, + "totalTokensFresh": true, + "cacheRead": 49408, + "cacheWrite": 0 } } \ No newline at end of file diff --git a/agents/knowledge-base/workspace/memory/2026-03-15-1018.md b/agents/knowledge-base/workspace/memory/2026-03-15-1018.md new file mode 100644 index 0000000..69900b2 --- /dev/null +++ b/agents/knowledge-base/workspace/memory/2026-03-15-1018.md @@ -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。 diff --git a/agents/knowledge-base/workspace/memory/2026-03-15-1021.md b/agents/knowledge-base/workspace/memory/2026-03-15-1021.md new file mode 100644 index 0000000..4084cf8 --- /dev/null +++ b/agents/knowledge-base/workspace/memory/2026-03-15-1021.md @@ -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。 diff --git a/agents/knowledge-base/workspace/memory/2026-03-15-1501.md b/agents/knowledge-base/workspace/memory/2026-03-15-1501.md new file mode 100644 index 0000000..ca4ba32 --- /dev/null +++ b/agents/knowledge-base/workspace/memory/2026-03-15-1501.md @@ -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。 diff --git a/agents/knowledge-base/workspace/memory/2026-03-15-1626.md b/agents/knowledge-base/workspace/memory/2026-03-15-1626.md new file mode 100644 index 0000000..2337abd --- /dev/null +++ b/agents/knowledge-base/workspace/memory/2026-03-15-1626.md @@ -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 diff --git a/agents/knowledge-base/workspace/memory/2026-03-15-1632.md b/agents/knowledge-base/workspace/memory/2026-03-15-1632.md new file mode 100644 index 0000000..cb8a850 --- /dev/null +++ b/agents/knowledge-base/workspace/memory/2026-03-15-1632.md @@ -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... diff --git a/agents/knowledge-base/workspace/memory/2026-03-15-1633.md b/agents/knowledge-base/workspace/memory/2026-03-15-1633.md new file mode 100644 index 0000000..3bad6ef --- /dev/null +++ b/agents/knowledge-base/workspace/memory/2026-03-15-1633.md @@ -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. diff --git a/agents/ui-designer/sessions/sessions.json b/agents/ui-designer/sessions/sessions.json index ce79b9e..a63ba6f 100644 --- a/agents/ui-designer/sessions/sessions.json +++ b/agents/ui-designer/sessions/sessions.json @@ -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\n \n capability-evolver\n A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.\n ~/.openclaw/skills/capability-evolver/SKILL.md\n \n", @@ -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", diff --git a/cron/jobs.json b/cron/jobs.json index b8e502f..f9b31f5 100644 --- a/cron/jobs.json +++ b/cron/jobs.json @@ -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 diff --git a/cron/jobs.json.bak b/cron/jobs.json.bak index 184495c..4d86071 100644 --- a/cron/jobs.json.bak +++ b/cron/jobs.json.bak @@ -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 diff --git a/feishu/dedup/feishu-art.json b/feishu/dedup/feishu-art.json index 69419d7..a520fc5 100644 --- a/feishu/dedup/feishu-art.json +++ b/feishu/dedup/feishu-art.json @@ -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 } diff --git a/feishu/dedup/feishu-worker.json b/feishu/dedup/feishu-worker.json index 7f2e9e1..b4ac2e5 100644 --- a/feishu/dedup/feishu-worker.json +++ b/feishu/dedup/feishu-worker.json @@ -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 } diff --git a/identity/device-auth.json b/identity/device-auth.json index cbf6aa0..91d1e91 100644 --- a/identity/device-auth.json +++ b/identity/device-auth.json @@ -10,7 +10,7 @@ "operator.approvals", "operator.pairing" ], - "updatedAtMs": 1773511814965 + "updatedAtMs": 1773597621245 } } } diff --git a/logs/commands.log b/logs/commands.log index ea606b8..7395a47 100644 --- a/logs/commands.log +++ b/logs/commands.log @@ -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"} diff --git a/memory/ui-designer.sqlite b/memory/ui-designer.sqlite new file mode 100644 index 0000000..1154c98 Binary files /dev/null and b/memory/ui-designer.sqlite differ diff --git a/skills/kb-deep-analyzer/__pycache__/deep_analyzer.cpython-312.pyc b/skills/kb-deep-analyzer/__pycache__/deep_analyzer.cpython-312.pyc index 4837a2e..08d1b7a 100644 Binary files a/skills/kb-deep-analyzer/__pycache__/deep_analyzer.cpython-312.pyc and b/skills/kb-deep-analyzer/__pycache__/deep_analyzer.cpython-312.pyc differ diff --git a/skills/kb-deep-analyzer/deep_analyzer.py b/skills/kb-deep-analyzer/deep_analyzer.py index 1c1342b..93d4298 100644 --- a/skills/kb-deep-analyzer/deep_analyzer.py +++ b/skills/kb-deep-analyzer/deep_analyzer.py @@ -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 diff --git a/skills/kb-zhihu-metadata/__init__.py b/skills/kb-zhihu-metadata/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/skills/kb-zhihu-metadata/markdown_converter.py b/skills/kb-zhihu-metadata/markdown_converter.py index c0f912d..81faa54 100644 --- a/skills/kb-zhihu-metadata/markdown_converter.py +++ b/skills/kb-zhihu-metadata/markdown_converter.py @@ -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)