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Karpathy发布了关于LLM（大型语言模型）的使用指南，详细介绍了LLM生态系统的各个方面。AI界大牛吴恩达的创业版图也得到了关注，他在多个领域进行了投资和创业。此外，文章还介绍了Probly这款AI驱动的电子表格应用，以及DeepSeek-R1技术报告的中文版发布。同时，机器人技术在开放环境中的挑战、AI搜索流量的变化、GitHub上的新工具和项目等内容也被涉及。整体来看，文章展现了AI技术的快速发展和广泛应用。","2025-03-02 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23:05:11","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/blg_\"2025年01月21日最新动态\"概括为6个字可以是：“2025年01月动态”。这里去掉了“最新”，因为“动态”一词本身就包含了时效性的含义，而且保留了日期信息。201.jpg",[11373],{"type":21,"children":15285,"toc":15947},[15286,15291,15296,15301,15306,15321,15326,15335,15340,15345,15350,15355,15364,15369,15374,15379,15396,15405,15410,15415,15424,15429,15434,15443,15448,15453,15458,15467,15472,15477,15486,15491,15496,15505,15510,15515,15528,15537,15542,15547,15552,15557,15566,15571,15576,15581,15586,15595,15600,15605,15614,15619,15624,15633,15638,15643,15648,15653,15658,15663,15672,15677,15682,15687,15692,15697,15702,15711,15716,15721,15730,15735,15740,15745,15750,15755,15764,15769,15774,15779,15788,15793,15798,15803,15808,15813,15822,15827,15832,15837,15842,15847,15856,15861,15872,15881,15886,15891,15909,15914,15919,15928,15933,15938],{"type":24,"tag":29,"props":15287,"children":15288},{},[15289],{"type":33,"value":15290},"标题：Kimi k1.5震撼登场，全球首个追平OpenAI 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小时的时间内完成，说明效率之高。",{"type":24,"tag":2542,"props":17056,"children":17057},{},[17058,17068,17078,17088,17098,17108],{"type":24,"tag":69,"props":17059,"children":17060},{},[17061,17066],{"type":24,"tag":73,"props":17062,"children":17063},{},[17064],{"type":33,"value":17065},"Langchain与Streamlit的结合",{"type":33,"value":17067},"：首先，我使用了Langchain来处理自然语言处理任务，并结合Streamlit来构建用户界面。Langchain强大的语言处理能力和Streamlit的简洁界面设计，使得整个流程的前端部分变得非常高效。",{"type":24,"tag":69,"props":17069,"children":17070},{},[17071,17076],{"type":24,"tag":73,"props":17072,"children":17073},{},[17074],{"type":33,"value":17075},"数据库操作",{"type":33,"value":17077},"：接下来，我调用了MySQL数据库来存储和管理数据。Cursor的智能代码生成功能，使得数据库的连接和操作变得非常简单，只需几行代码就能完成复杂的数据库查询和数据处理。",{"type":24,"tag":69,"props":17079,"children":17080},{},[17081,17086],{"type":24,"tag":73,"props":17082,"children":17083},{},[17084],{"type":33,"value":17085},"爬虫抓取微博内容",{"type":33,"value":17087},"：为了获取最新的微博动态，我编写了爬虫程序来抓取微博内容。Cursor的@功能在这里发挥了巨大的作用，通过@Web功能，我能够快速查阅相关的爬虫代码和解决方案，大大提高了开发效率。",{"type":24,"tag":69,"props":17089,"children":17090},{},[17091,17096],{"type":24,"tag":73,"props":17092,"children":17093},{},[17094],{"type":33,"value":17095},"图片上传到OSS",{"type":33,"value":17097},"：微博中的图片需要上传到OSS进行存储。Cursor的智能代码生成功能，使得图片上传的代码编写变得非常简单，只需描述需求，它就能生成相应的代码。",{"type":24,"tag":69,"props":17099,"children":17100},{},[17101,17106],{"type":24,"tag":73,"props":17102,"children":17103},{},[17104],{"type":33,"value":17105},"调用大模型进行内容组装",{"type":33,"value":17107},"：最后，我调用了大模型来进行内容的组装。Cursor的Composer模式在这里表现得尤为出色，只需描述我的需求，它就能生成高质量的代码来调用大模型进行内容组装。",{"type":24,"tag":69,"props":17109,"children":17110},{},[17111,17116,17118],{"type":24,"tag":73,"props":17112,"children":17113},{},[17114],{"type":33,"value":17115},"自动发布博客",{"type":33,"value":17117},"：最后一步，我实现了自动发布博客的功能。通过Cursor的智能代码生成和@功能，我编写了一个 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流程可以将生成的文章自动发布到我的博客平台上。这个脚本不仅能够定时发布，还能根据预设的条件进行内容更新和优化。这样一来，我就不需要手动发布文章，大大节省了时间和精力。\n",{"type":24,"tag":1393,"props":17119,"children":17121},{"alt":1395,"src":17120},"https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/20240901233230.png",[],{"type":24,"tag":29,"props":17123,"children":17124},{},[17125],{"type":33,"value":17126},"整个流程是不是很复杂？但在Cursor的帮助下，我仅用了2小时就完成了所有任务。这不仅展示了Cursor的强大功能，也让我深刻体会到了智能编程工具带来的高效和便捷。",{"type":24,"tag":53,"props":17128,"children":17130},{"id":17129},"下一步计划发挥cursor潜能打造超级个人助理",[17131],{"type":33,"value":17132},"下一步计划：发挥Cursor潜能，打造超级个人助理",{"type":24,"tag":29,"props":17134,"children":17135},{},[17136],{"type":33,"value":17137},"有了这玩意儿，我能干的事情又多了起来。所以，这只是一个开始，我下一步的计划，那就是要把Cursor的潜能发挥到极致，打造一个超级个人助理，让我的生活和工作更加智能、高效。",{"type":24,"tag":2542,"props":17139,"children":17140},{},[17141],{"type":24,"tag":69,"props":17142,"children":17143},{},[17144],{"type":33,"value":17145},"自动多平台发布文章，一稿多投不是梦",{"type":24,"tag":29,"props":17147,"children":17148},{},[17149],{"type":33,"value":17150},"首先，我要升级我的文章生成器，让它能够自动在各大平台发布内容。这样一来，我的一篇文章就能同时在微博、公众号、知乎等多个地方亮相，实现一稿多投，省时又省力。",{"type":24,"tag":2542,"props":17152,"children":17153},{},[17154],{"type":24,"tag":69,"props":17155,"children":17156},{},[17157],{"type":33,"value":17158},"Obsidian插件开发，知识库自动更新",{"type":24,"tag":29,"props":17160,"children":17161},{},[17162],{"type":33,"value":17163},"接着，我准备动手写一个Obsidian插件，让我的笔记能够方便更新到我的大模型知识库中。这样一来，我的知识库就会紧跟我的思想步伐，让大模型代替我处理一些事情的时候引用我的知识库也会更懂我。",{"type":24,"tag":2542,"props":17165,"children":17166},{},[17167],{"type":24,"tag":69,"props":17168,"children":17169},{},[17170],{"type":33,"value":17171},"智能体串联，打造超级个人助理",{"type":24,"tag":29,"props":17173,"children":17174},{},[17175],{"type":33,"value":17176},"最后的压轴的来了！我打算把我之前做的各种智能体通过Cursor串联起来，形成一个超级个人助理。这个助理不仅能帮我管理日程，还能自动处理邮件、分析数据、甚至帮我制定工作计划。想想都激动。以前是没时间搞，现在在 cursor 的帮助下，我效率翻倍，这也变得可行性更强了。",{"type":24,"tag":29,"props":17178,"children":17179},{},[17180],{"type":33,"value":17181},"总之，Cursor就是编程界的“外挂”，让你分分钟从编程小白变身大佬。用了它，编程不再是难题，效率提升不是梦。接下来，我还得用Cursor干点更牛的事儿，敬请期待！",{"title":8,"searchDepth":394,"depth":394,"links":17183},[17184,17185,17186],{"id":16968,"depth":394,"text":16971},{"id":17046,"depth":394,"text":17049},{"id":17129,"depth":394,"text":17132},"content:blogs:20240901220205.md","blogs/20240901220205.md","blogs/20240901220205",{"loc":16944},{"_path":17192,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":17193,"description":17194,"date":17195,"image":17196,"alt":17197,"ogImage":17196,"tags":17198,"published":19,"body":17201,"_type":1535,"_id":17267,"_source":1537,"_file":17268,"_stem":17269,"_extension":1540,"sitemap":17270},"/blogs/20240819101111","利用扣子（coze） 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ai 的力量。既然要借助 AI，那么就要选择合适的 AI 辅助工具来完成我们交代的任务了。",{"type":24,"tag":138,"props":17222,"children":17224},{"id":17223},"ai辅助写作的崭新路径",[17225],{"type":24,"tag":73,"props":17226,"children":17227},{},[17228],{"type":33,"value":17229},"AI辅助写作的崭新路径",{"type":24,"tag":29,"props":17231,"children":17232},{},[17233],{"type":33,"value":17234},"首先想到的就是在各种 AI 聊天工具中，通过 AI 提示词来完成知乎爆文的输出了，我们以“# 程序员如何构建自己的护城河？”这个知乎问题为例，为大家演示一下直接使用AI 提示词的效果。我们直接使用史上最强GPT-4。我们使用李继刚老师的提示词《知识探索专家》，稍微修改一下，使其更符合知乎的风格，并改为符合知乎问答专家的 skills。\n![[Pasted image 20240301223632.png]]\n![[Pasted image 20240301232156.png]]\n果然是 GPT-4 效果就是不一样，很稳定，质量也还可以。为了跟下面的“扣子”（coze）里面引入流水线做对比，我在“扣子”的AI聊天里用同样的提示词，生成结果，的确不如 GPT-4 啊。\n![[Pasted image 20240301233201.png]]",{"type":24,"tag":138,"props":17236,"children":17238},{"id":17237},"超越简单提示词的深度内容创作",[17239],{"type":24,"tag":73,"props":17240,"children":17241},{},[17242],{"type":33,"value":17237},{"type":24,"tag":29,"props":17244,"children":17245},{},[17246],{"type":33,"value":17247},"下面，重点来了，如果想要把文章写的足够有深度，那么，这种直接的提示词真的可以满足需求吗？以上的提示词，即便是在有李继刚老师提示词的基础上修改，我也是经过了反复的测试，才能达到这样的效果的。很不稳定。包括 GPTs 里面的很多应用，大家应该都有发现，他们的不稳定之处。那是因为单纯的提示词，受限太大，很难发挥出大模型足够的能力。\n那么我就想到了“扣子”的工作流，它内部有插件和工作流的概念，把插件和工作流排列组合在封装成 bot，我们使用这样构建出来的 bot 就可以实现比较负责的任务了。\n比如：还是刚才的案例。我构建了如下的工作流：\n![[Pasted image 20240301234411.png]]\n其中，我使用了一个查询头条文章的插件，和一个阅读网页的插件，作为辅助，查询到了一条与问题相关的头条文章（“扣子”只能查询一条，不知道什么原因），作为参考资料，这样，我的回答就会更加生动且有内容。最后的结果如下：\n![[Pasted image 20240301234243.png]]\n是不是非常的不可思议？感觉比 GPT-4 生成的还要丰满生动，而且，更像是人回答的，没有那么强的机器感。",{"type":24,"tag":138,"props":17249,"children":17251},{"id":17250},"未来的探索与期待",[17252],{"type":24,"tag":73,"props":17253,"children":17254},{},[17255],{"type":33,"value":17250},{"type":24,"tag":29,"props":17257,"children":17258},{},[17259],{"type":33,"value":17260},"这只是我探索的第一步，后面，我会进一步使用多 agent 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Dify？",{"type":24,"tag":29,"props":17320,"children":17321},{},[17322],{"type":33,"value":17323},"如果你对LLM技术的快速发展，比如GPT-4，感到惊讶和兴奋，迫不及待地想要充分利用它，但又发现自己被一些问题所困扰，比如：",{"type":24,"tag":65,"props":17325,"children":17326},{},[17327,17332,17337,17342],{"type":24,"tag":69,"props":17328,"children":17329},{},[17330],{"type":33,"value":17331},"我如何根据我们自己的数据或内容“训练”一个模型？",{"type":24,"tag":69,"props":17333,"children":17334},{},[17335],{"type":33,"value":17336},"AI怎么知道最近发生的事件？",{"type":24,"tag":69,"props":17338,"children":17339},{},[17340],{"type":33,"value":17341},"我如何防止AI向用户传递错误信息？",{"type":24,"tag":69,"props":17343,"children":17344},{},[17345],{"type":33,"value":17346},"微调和嵌入是什么意思？",{"type":24,"tag":29,"props":17348,"children":17349},{},[17350],{"type":33,"value":17351},"那么，Dify正是你需要的。",{"type":24,"tag":29,"props":17353,"children":17354},{},[17355],{"type":33,"value":17356},"Dify的目标是让开发者（甚至非开发者）能够快速构建基于大型语言模型的AI应用程序，确保它们是可视化的、可操作的和改进的。通过它，我们可以部署与Assistants API和任何模型 based GPT类似的 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dify/docker\n",{"type":24,"tag":382,"props":17571,"children":17572},{"class":384,"line":394},[17573,17578,17583,17588],{"type":24,"tag":382,"props":17574,"children":17575},{"style":1268},[17576],{"type":33,"value":17577},"docker",{"type":24,"tag":382,"props":17579,"children":17580},{"style":1273},[17581],{"type":33,"value":17582}," compose",{"type":24,"tag":382,"props":17584,"children":17585},{"style":1273},[17586],{"type":33,"value":17587}," up",{"type":24,"tag":382,"props":17589,"children":17590},{"style":4915},[17591],{"type":33,"value":17592}," -d\n",{"type":24,"tag":29,"props":17594,"children":17595},{},[17596],{"type":33,"value":17597},"启动结果：",{"type":24,"tag":372,"props":17599,"children":17601},{"code":17600},"[+] 正在运行 7/7\n ✔ 容器 docker-web-1       已启动                                                                                                                                                                                       1.0秒 \n ✔ 容器 docker-redis-1      已启动                                                                                                                                                                                       1.1秒 \n ✔ 容器 docker-weaviate-1   已启动                                                                                                                                                                                       0.9秒 \n ✔ 容器 docker-db-1         已启动                                                                                                                                                                                       0.0秒 \n ✔ 容器 docker-worker-1      已启动                                                                                                                                                                                       0.7秒 \n ✔ 容器 docker-api-1         已启动                                                                                                                                                                                       0.8秒 \n ✔ 容器 docker-nginx-1       已启动\n",[17602],{"type":24,"tag":192,"props":17603,"children":17604},{"__ignoreMap":8},[17605],{"type":33,"value":17600},{"type":24,"tag":29,"props":17607,"children":17608},{},[17609],{"type":33,"value":17610},"上述命令将启动Dify的所有容器服务，包括API、Worker和Web。",{"type":24,"tag":29,"props":17612,"children":17613},{},[17614],{"type":33,"value":17615},"然后检查是否运行顺利。如果顺利，那么一切就绪。",{"type":24,"tag":372,"props":17617,"children":17621},{"code":17618,"language":17619,"meta":8,"className":17620,"style":8},"docker compose ps\n","typescript","language-typescript shiki shiki-themes 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0.0.0.0:5432->5432/tcp\ndocker-nginx-1      nginx:latest                       \"/docker-entrypoint....\"   nginx               4秒前              运行2秒              0.0.0.0:80->80/tcp\ndocker-redis-1      redis:6-alpine                     \"docker-entrypoint.s...\"   redis               4秒前              运行3秒              6379/tcp\ndocker-weaviate-1   semitechnologies/weaviate:1.18.4   \"/bin/weaviate --hos...\"   weaviate            4秒前              运行3秒",{"type":24,"tag":15986,"props":17643,"children":17644},{},[],{"type":33,"value":17646},"\ndocker-web-1        langgenius/dify-web:0.3.2          \"/entrypoint.sh\"         web                 4秒前              运行3秒              80/tcp, 3000/tcp\ndocker-worker-1     langgenius/dify-api:0.3.2          \"/entrypoint.sh\"         worker              4秒前              运行2秒              80/tcp, 5001/tcp",{"type":24,"tag":29,"props":17648,"children":17649},{},[17650,17652,17658,17660,17666,17668,17674],{"type":33,"value":17651},"如果你的系统使用的是 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",{"type":24,"tag":192,"props":17695,"children":17697},{"className":17696},[],[17698],{"type":33,"value":17699},"docker compose down",{"type":33,"value":1417},{"type":24,"tag":29,"props":17702,"children":17703},{},[17704,17706,17712],{"type":33,"value":17705},"简而言之，每次启动 Dify 的社区版时，我们只需要导航到 docker 目录并执行命令 ",{"type":24,"tag":192,"props":17707,"children":17709},{"className":17708},[],[17710],{"type":33,"value":17711},"docker compose up -d",{"type":33,"value":17713},"。这个命令将自动启动所有与 Dify 相关的容器服务。",{"type":24,"tag":29,"props":17715,"children":17716},{},[17717],{"type":33,"value":17718},"从现在开始，我们已经成功在本地计算机上部署了 Dify，并可以在 Dify 环境中开始构建我们的 AI 应用程序。",{"type":24,"tag":29,"props":17720,"children":17721},{},[17722],{"type":24,"tag":1393,"props":17723,"children":17725},{"alt":8,"src":17724},"https://miro.medium.com/1*Ax4q3kkVrlzmSJeISkhVBQ.png",[],{"type":24,"tag":29,"props":17727,"children":17728},{},[17729],{"type":24,"tag":1393,"props":17730,"children":17732},{"alt":8,"src":17731},"https://miro.medium.com/1*_6LzNVzQENREdD61c74hyQ.png",[],{"type":24,"tag":1513,"props":17734,"children":17735},{},[17736],{"type":33,"value":1517},{"title":8,"searchDepth":394,"depth":394,"links":17738},[],"content:blogs:20240604112020.md","blogs/20240604112020.md","blogs/20240604112020",{"loc":17272},{"_path":17744,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":17745,"description":17746,"date":17747,"image":17748,"alt":17749,"ogImage":17748,"tags":17750,"published":19,"body":17751,"_type":1535,"_id":17828,"_source":1537,"_file":17829,"_stem":17830,"_extension":1540,"sitemap":17831},"/blogs/20240527091111","kimi终于增加智能体功能了","最新消息显示，Kimi聊天机器人已新增智能体功能，命名为Kimi+，旨在提升用户互动体验的顺畅度和智能化水平。Kimi+的主要特点包括多语言支持、高级对话理解、个性化推荐、增强的搜索能力以及智能学习功能。这些新特性使得Kimi+能够更好地理解用户意图和情感，提供个性化内容推荐，并快速准确地检索互联网信息。此外，Kimi+还具备自我学习和适应能力，能够根据用户反馈不断优化性能。开发者现在也可以通过开放平台调用工具，创造更多样化的应用。总体而言，Kimi+的新功能旨在使与Kimi的交流更加自然有趣，提升用户生活的便捷性。","2024年05月27日","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/blg_智能体升级213.jpg","智能体升级",[11373],{"type":21,"children":17752,"toc":17826},[17753,17757,17767,17772,17777,17785,17790,17795,17800,17808,17816,17821],{"type":24,"tag":4629,"props":17754,"children":17755},{"id":17745},[17756],{"type":33,"value":17745},{"type":24,"tag":29,"props":17758,"children":17759},{},[17760,17762],{"type":33,"value":17761},"最新消息：Kimi聊天机器人增加智能体功能啦！\n",{"type":24,"tag":1393,"props":17763,"children":17766},{"alt":17764,"src":17765},"20240527104213","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/pic20240527104213.png",[],{"type":24,"tag":29,"props":17768,"children":17769},{},[17770],{"type":33,"value":17771},"从今天开始，Kimi聊天机器人将拥有全新的智能体功能，kimi起名叫Kimi+,让你与Kimi的互动体验更加顺畅和智能化。",{"type":24,"tag":29,"props":17773,"children":17774},{},[17775],{"type":33,"value":17776},"这个新功能的主要特点包括：",{"type":24,"tag":372,"props":17778,"children":17780},{"code":17779},"多语言支持：除了中文和英文，Kimi+可能支持更多的语言，提供更广泛的用户群体服务。\n\n高级对话理解：Kimi+可能拥有更深层次的对话理解和自然语言处理能力，能够更准确地理解用户的意图和情感。\n\n个性化推荐：根据用户的使用习惯和偏好，Kimi+可能提供个性化的内容推荐，包括新闻、音乐、电影等。\n\n增强的搜索能力：Kimi+可能拥有更强大的搜索功能，能够快速检索互联网上的信息，并结合搜索结果为用户提供更准确的回答。\n\n智能学习：Kimi+可能具备自我学习和适应的能力，能够根据用户的反馈不断优化其性能和回答质量。\n",[17781],{"type":24,"tag":192,"props":17782,"children":17783},{"__ignoreMap":8},[17784],{"type":33,"value":17779},{"type":24,"tag":29,"props":17786,"children":17787},{},[17788],{"type":33,"value":17789},"以上特点为kimi的自问自答，不过，我觉得，问答的能力上来看的确是有所提升的，不过，单纯的问答能力没有所见即所得的既视感，需要在使用过程中慢慢体会，重点是功能上的改变，即，这次，增加了智能体的功能。",{"type":24,"tag":29,"props":17791,"children":17792},{},[17793],{"type":33,"value":17794},"我第一时间体验了它的智能体功能，总体感觉还是不错的。目前只是开放了它内置的几种Kimi+，还不能自定义编排。另外，在普通聊天界面还支持@符号快捷打开指定的Kimi+。",{"type":24,"tag":29,"props":17796,"children":17797},{},[17798],{"type":33,"value":17799},"除此之外，我还发现，在开放平台的文档里增加了use tool的部分，这就意味着，对于开发者，可以像openai的接口那样去调用工具了，这对于开发者来说是一个不小的利好，可以用它做出更多样的应用出来了。",{"type":24,"tag":29,"props":17801,"children":17802},{},[17803],{"type":24,"tag":1393,"props":17804,"children":17807},{"alt":17805,"src":17806},"20240527104257","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/pic20240527104257.png",[],{"type":24,"tag":29,"props":17809,"children":17810},{},[17811],{"type":24,"tag":1393,"props":17812,"children":17815},{"alt":17813,"src":17814},"20240527104307","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/pic20240527104307.png",[],{"type":24,"tag":29,"props":17817,"children":17818},{},[17819],{"type":33,"value":17820},"我相信，这些新功能将让你与Kimi的交流变得更加自然和有趣，让你的生活更加轻松和便捷。",{"type":24,"tag":29,"props":17822,"children":17823},{},[17824],{"type":33,"value":17825},"赶快去体验Kimi智能体功能吧！",{"title":8,"searchDepth":394,"depth":394,"links":17827},[],"content:blogs:20240527091111.md","blogs/20240527091111.md","blogs/20240527091111",{"loc":17744},{"_path":17833,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":17834,"description":17835,"date":17836,"image":17837,"alt":17838,"ogImage":17837,"tags":17839,"published":19,"body":17840,"_type":1535,"_id":19310,"_source":1537,"_file":19311,"_stem":19312,"_extension":1540,"sitemap":19313},"/blogs/20240626031111","我是如何用扣子AI工作流筛选并分析自媒体情报信息的","我一直在寻找一种方法来搜集和分析我关注的自媒体领域的信息，包括文章、评论、点赞和转发等。为了解决这个问题，我决定自己动手，通过抓取对标公众号的数据并使用扣子的AI工作流来处理这些数据。首先，我通过公众号后台的网页端抓取对标公众号的数据，并将这些数据存入数据库。然后，我使用Python的Selenium库来自动化操作网页版的公众号后台，获取文章列表和相关信息。接着，我通过LangChain对每篇文章进行总结，并将总结存入数据库。最后，我使用FastAPI生成API，并在扣子上创建插件和工作流，以便AI可以筛选出符合要求的文章。整个过程虽然复杂，但通过扣子的可视化界面，大大简化了开发过程，使得我可以快速实现通过AI筛选自媒体文章的功能。","2024年04月26日","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/blg_使用扣子AI筛选分析情报213.jpg","使用扣子AI筛选分析情报",[17199],{"type":21,"children":17841,"toc":19296},[17842,17847,17852,17857,17863,17868,17873,17879,17884,17912,17917,17923,17928,17933,18952,18957,18962,18968,18973,18978,19017,19022,19148,19153,19158,19164,19170,19175,19183,19188,19196,19202,19207,19215,19220,19226,19231,19239,19244,19252,19257,19263,19268,19276,19281,19287,19292],{"type":24,"tag":4629,"props":17843,"children":17845},{"id":17844},"我是如何用扣子ai工作流筛选并分析自媒体情报信息的",[17846],{"type":33,"value":17834},{"type":24,"tag":29,"props":17848,"children":17849},{},[17850],{"type":33,"value":17851},"从开始做自媒体以来，一直有个困惑许久的问题没有解决，那就是搜集我关注的相关领域的对标自媒体一手信息，包括文章、评论、点赞、转发等。一方面，是为了了解我关注的内容，另一方面，也是为了逼迫自己学习更多的内容，从而提高自己的能力。",{"type":24,"tag":29,"props":17853,"children":17854},{},[17855],{"type":33,"value":17856},"但是，目前市面上还没有一款产品能够满足我的需求，于是，我尝试自己动手来解决这个问题。我的策略就是通过抓取对标公众号的数据，来获取我关注的内容并存入数据库，然后在通过扣子的AI工作流来处理这些数据，进行一定的总结和分析，从而得到我关注的内容。",{"type":24,"tag":53,"props":17858,"children":17860},{"id":17859},"_1-抓取对标公众号数据",[17861],{"type":33,"value":17862},"1. 抓取对标公众号数据",{"type":24,"tag":29,"props":17864,"children":17865},{},[17866],{"type":33,"value":17867},"首先，我需要找到我关注的相关领域的对标公众号，然后通过抓取这些公众号的文章、评论、点赞、转发等数据，来获取我关注的内容。然而，我的方法是可以获取到文章信息的，但是获取不到评论、点赞、转发等数据。如果需要获取这些数据，可能需要rpa控制pc端的微信来实现了，由于我主要使用的是Linux和mac电脑，所以暂时没有实现这个功能。",{"type":24,"tag":29,"props":17869,"children":17870},{},[17871],{"type":33,"value":17872},"我的方法是通过公众号后台的网页端来获取对标公众号的数据，然后存入数据库，最后生成API来供我调用。",{"type":24,"tag":138,"props":17874,"children":17876},{"id":17875},"_11-选取对标账号列表",[17877],{"type":33,"value":17878},"1.1 选取对标账号列表",{"type":24,"tag":29,"props":17880,"children":17881},{},[17882],{"type":33,"value":17883},"我是通过csv文件存储我关注的账号，然后通过脚本来读取这些账号，并获取这些账号的文章信息。起初，我还有使用LangChain的loader来获取，并让LLM来更智能的获取账号，然后再做成langchain的tool智能提取文章内容，但是由于抓取过程需要扫码，所以没招，通过python读取它吧。",{"type":24,"tag":29,"props":17885,"children":17886},{},[17887,17892,17897,17902,17907],{"type":24,"tag":1393,"props":17888,"children":17891},{"alt":17889,"src":17890},"20240425182014","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/pic20240425182014.png",[],{"type":24,"tag":1393,"props":17893,"children":17896},{"alt":17894,"src":17895},"20240425182116","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/pic20240425182116.png",[],{"type":24,"tag":1393,"props":17898,"children":17901},{"alt":17899,"src":17900},"20240425182148","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/pic20240425182148.png",[],{"type":24,"tag":1393,"props":17903,"children":17906},{"alt":17904,"src":17905},"20240425182233","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/pic20240425182233.png",[],{"type":24,"tag":1393,"props":17908,"children":17911},{"alt":17909,"src":17910},"20240425182248","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/pic20240425182248.png",[],{"type":24,"tag":29,"props":17913,"children":17914},{},[17915],{"type":33,"value":17916},"读取对标账号后，就到了最关键的获取账号下文章列表的过程。",{"type":24,"tag":138,"props":17918,"children":17920},{"id":17919},"_12-获取文章列表",[17921],{"type":33,"value":17922},"1.2 获取文章列表",{"type":24,"tag":29,"props":17924,"children":17925},{},[17926],{"type":33,"value":17927},"我是通过python的selenium库来实现的，通过selenium来操作网页版的公众号后台，在编辑文章页面，插入链接处，是有个搜索公众号文章的功能的，虽然比较隐蔽，一般也是用来在自己文章中插入别的公众号文章用的，很多人可能都不知道有这个功能。",{"type":24,"tag":29,"props":17929,"children":17930},{},[17931],{"type":33,"value":17932},"通过这个功能，我就可以获取到账号下所有文章的标题和链接，并存入数据库，至于文章内容，我们也可以一起通过requests访问并存入数据库，但是，这样的话，后面我们在扣子里面会再次访问一遍，从而使工作流变得特别的慢，所以，我在这里用LangChain对每篇文章做了总结，然后，把总结存入数据库，这样，后面在扣子里面访问的时候，就不用再次访问了。",{"type":24,"tag":372,"props":17934,"children":17936},{"className":374,"code":17935,"language":376,"meta":8,"style":8},"class Mp_his:\n    def __init__(self):\n        options = Options()\n        # options.add_argument('--headless')\n        # options.add_argument('--disable-gpu')\n        options.add_argument(\"--incognito\")\n        self.driver = webdriver.Chrome(options=options)\n        self.vars = {}\n\n    def wait_for_window(self, timeout=2):\n        time.sleep(round(timeout / 1000))\n        wh_now = self.driver.window_handles\n        wh_then = self.vars[\"window_handles\"]\n        if len(wh_now) > len(wh_then):\n            return set(wh_now).difference(set(wh_then)).pop()\n    \n    def check_exist(self, link):\n        # 检查数据库中是否存在该文章\n        conn = sqlite3.connect(\"mp1.db\")\n        cursor = conn.cursor()\n        cursor.execute(\"SELECT * FROM mp_articles WHERE link = ?\", (link,))\n        result = cursor.fetchone()\n        conn.close()\n        return result\n    \n    def get_his(self):\n        os.chdir(os.path.dirname(os.path.abspath(__file__)))\n        self.driver.get(\"http://mp.weixin.qq.com/\")\n        self.vars[\"window_handles\"] = self.driver.window_handles\n        if self.driver.find_elements(By.CLASS_NAME, \"login__type__container__scan__qrcode\"):\n            # 等待二维码出现\n            time.sleep(2)\n            qrcode = self.driver.find_element(\n                By.CLASS_NAME, \"login__type__container__scan__qrcode\")\n            qrcode.screenshot(\"./qrcode.png\")\n        # 等待.new-creation__menu-item:nth-child(2) svg出现\n        WebDriverWait(self.driver, 60).until(expected_conditions.presence_of_element_located(\n            (By.CSS_SELECTOR, \".new-creation__menu-item:nth-child(2) svg\")))\n        self.driver.find_element(\n            By.CSS_SELECTOR, \".new-creation__menu-item:nth-child(2) svg\").click()\n        self.vars[\"win670\"] = self.wait_for_window(2000)\n        self.driver.switch_to.window(self.vars[\"win670\"])\n        self.driver.find_element(By.ID, \"js_editor_insertlink\").click()\n        # 从mp.csv中读取公众号名称\n        with open('mp.csv', 'r', encoding='utf-8') as f:\n            reader = csv.reader(f)\n            for row in reader:\n                self.driver.find_element(\n                    By.XPATH, \"//button[contains(.,\\'选择其他公众号\\')]\").click()\n                # 输入公众号名称\n                self.driver.find_element(\n                    By.CSS_SELECTOR, \".weui-desktop-search__wrp .weui-desktop-form__input\").send_keys(row[0])\n                self.driver.find_element(\n                    By.CSS_SELECTOR, \".weui-desktop-search__wrp .weui-desktop-form__input\").send_keys(Keys.ENTER)\n                time.sleep(1)\n                # 选择第一个公众号.inner_link_account_item的第一个\n                WebDriverWait(self.driver, 60).until(expected_conditions.presence_of_element_located(\n                    (By.CSS_SELECTOR, \".inner_link_account_item:nth-child(1)\")\n                ))\n                self.driver.find_element(\n                    By.CSS_SELECTOR, \".inner_link_account_item:nth-child(1)\").click()\n                # 循环class 为 .inner_link_article_item的 label 标签\n                for i in range(1, 10):\n                    WebDriverWait(self.driver, 60).until(expected_conditions.presence_of_element_located(\n                        (By.CSS_SELECTOR, f\".inner_link_article_item:nth-child({i})\")))\n                    label = self.driver.find_element(\n                        By.CSS_SELECTOR, f\".inner_link_article_item:nth-child({i})\")\n                    author = row[0]\n                    title = label.find_element(\n                        By.CSS_SELECTOR, \"div span:nth-child(2)\").text\n                    publish_date_str = label.find_element(\n                        By.CSS_SELECTOR, \".inner_link_article_date\").text\n                    publish_date = datetime.strptime(\n                        publish_date_str, \"%Y-%m-%d\")\n                    link = label.find_element(\n                        By.CSS_SELECTOR, \"a\").get_attribute(\"href\")\n                    # 当发布时间小于昨天，结束循环\n                    if publish_date \u003C datetime.now() - timedelta(days=7):\n                        print(\"发布时间小于一周，结束循环\")\n                        break\n                    # 数据库里面有这篇文章，结束循环\n                    if self.check_exist(link):\n                        break\n                    \n                    summary = \"\"\n                    # 加载html并获取概述\n                    if os.environ['SUMMARY_FLAG'] == 'True':\n                        loader = AsyncHtmlLoader([link])\n                        doc = loader.load()\n                        h2t = Html2TextTransformer()\n                        docs_transformed = h2t.transform_documents(doc)\n                        text_splitter = RecursiveCharacterTextSplitter()\n                        texts = text_splitter.split_documents(docs_transformed)\n                        prompt_template = \"\"\"写下一段文字的摘要:\n\"{text}\"\n摘要内容:\"\"\"\n                        prompt = PromptTemplate.from_template(prompt_template)\n                        llm_chain = LLMChain(llm=QianfanChatEndpoint(temperature=0.1), prompt=prompt)\n                        stuff_chain = StuffDocumentsChain(llm_chain=llm_chain, document_variable_name=\"text\")\n                        summary = stuff_chain.invoke(texts)[\"output_text\"]\n\n                    # 写入mysql数据库\n                    import mysql.connector\n                    \n                    mydb = mysql.connector.connect(\n                        host=\"YOUR_HOST\",\n                        user=\"YOURUSER\",\n                        password=\"YOURPASS\",\n                        database=\"YOURDB\"\n                    )\n                    mycursor = mydb.cursor()\n                    mycursor.execute(\n                        \"INSERT INTO mp_articles (title, author, publish_date, link, summary) VALUES (%s, %s, %s, %s, %s)\", (title, author, publish_date, link, summary))\n                    mydb.commit()\n\n                    print(f\"{title} 写入成功\")\n",[17937],{"type":24,"tag":192,"props":17938,"children":17939},{"__ignoreMap":8},[17940,17948,17956,17964,17972,17980,17988,17996,18004,18011,18019,18027,18035,18043,18051,18059,18067,18075,18083,18091,18099,18107,18115,18123,18132,18140,18149,18158,18167,18176,18185,18194,18203,18212,18221,18230,18239,18248,18257,18266,18275,18284,18293,18302,18311,18320,18329,18338,18347,18356,18365,18373,18382,18390,18399,18408,18417,18426,18435,18444,18452,18461,18470,18479,18488,18497,18506,18515,18524,18533,18542,18551,18560,18569,18578,18587,18596,18605,18614,18623,18632,18641,18650,18658,18667,18676,18685,18694,18703,18712,18721,18730,18739,18748,18757,18766,18775,18784,18793,18802,18811,18819,18828,18837,18845,18854,18863,18872,18881,18890,18899,18908,18917,18926,18935,18943],{"type":24,"tag":382,"props":17941,"children":17942},{"class":384,"line":385},[17943],{"type":24,"tag":382,"props":17944,"children":17945},{},[17946],{"type":33,"value":17947},"class Mp_his:\n",{"type":24,"tag":382,"props":17949,"children":17950},{"class":384,"line":394},[17951],{"type":24,"tag":382,"props":17952,"children":17953},{},[17954],{"type":33,"value":17955},"    def __init__(self):\n",{"type":24,"tag":382,"props":17957,"children":17958},{"class":384,"line":403},[17959],{"type":24,"tag":382,"props":17960,"children":17961},{},[17962],{"type":33,"value":17963},"        options = Options()\n",{"type":24,"tag":382,"props":17965,"children":17966},{"class":384,"line":412},[17967],{"type":24,"tag":382,"props":17968,"children":17969},{},[17970],{"type":33,"value":17971},"        # options.add_argument('--headless')\n",{"type":24,"tag":382,"props":17973,"children":17974},{"class":384,"line":421},[17975],{"type":24,"tag":382,"props":17976,"children":17977},{},[17978],{"type":33,"value":17979},"        # 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注册后，可以免费使用，感兴趣的可以去试试，我就是用的这个。",{"type":24,"tag":29,"props":18958,"children":18959},{},[18960],{"type":33,"value":18961},"这段代码执行的时候会打开浏览器，并弹出二维码，需要手动扫码，然后，会自动化操作到底。至此，抓取数据就已经完成。",{"type":24,"tag":53,"props":18963,"children":18965},{"id":18964},"_2-生成api",[18966],{"type":33,"value":18967},"2. 生成API",{"type":24,"tag":29,"props":18969,"children":18970},{},[18971],{"type":33,"value":18972},"我使用的是fastapi，这样可以跟LangServe保持一致，我是为将来继承进我的AI小助手做好准备。不熟悉fastapi的小伙伴需要自行学习一下基础的语法，或者使用别的web框架，比如flask/django，都可以。",{"type":24,"tag":29,"props":18974,"children":18975},{},[18976],{"type":33,"value":18977},"定义路由：",{"type":24,"tag":372,"props":18979,"children":18981},{"className":374,"code":18980,"language":376,"meta":8,"style":8},"@app.get(\"/get_articles\")\ndef get_articles():\n    articles = get_mp_articles()\n    return 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result\n",[19026],{"type":24,"tag":192,"props":19027,"children":19028},{"__ignoreMap":8},[19029,19037,19045,19053,19061,19069,19077,19085,19093,19101,19109,19117,19125,19133,19141],{"type":24,"tag":382,"props":19030,"children":19031},{"class":384,"line":385},[19032],{"type":24,"tag":382,"props":19033,"children":19034},{},[19035],{"type":33,"value":19036},"def get_mp_articles():\n",{"type":24,"tag":382,"props":19038,"children":19039},{"class":384,"line":394},[19040],{"type":24,"tag":382,"props":19041,"children":19042},{},[19043],{"type":33,"value":19044},"    # 连接到 MySQL 数据库\n",{"type":24,"tag":382,"props":19046,"children":19047},{"class":384,"line":403},[19048],{"type":24,"tag":382,"props":19049,"children":19050},{},[19051],{"type":33,"value":19052},"    connection = pymysql.connect(\n",{"type":24,"tag":382,"props":19054,"children":19055},{"class":384,"line":412},[19056],{"type":24,"tag":382,"props":19057,"children":19058},{},[19059],{"type":33,"value":19060},"        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agent=self.writer(),\n",{"type":24,"tag":382,"props":20884,"children":20885},{"class":384,"line":18401},[20886],{"type":24,"tag":382,"props":20887,"children":20888},{},[20889],{"type":33,"value":20890},"            # context=[self.manage_task()]\n",{"type":24,"tag":382,"props":20892,"children":20893},{"class":384,"line":18410},[20894],{"type":24,"tag":382,"props":20895,"children":20896},{},[20897],{"type":33,"value":20755},{"type":24,"tag":382,"props":20899,"children":20900},{"class":384,"line":18419},[20901],{"type":24,"tag":382,"props":20902,"children":20903},{},[20904],{"type":33,"value":18066},{"type":24,"tag":382,"props":20906,"children":20907},{"class":384,"line":18428},[20908],{"type":24,"tag":382,"props":20909,"children":20910},{},[20911],{"type":33,"value":20850},{"type":24,"tag":382,"props":20913,"children":20914},{"class":384,"line":18437},[20915],{"type":24,"tag":382,"props":20916,"children":20917},{},[20918],{"type":33,"value":20919},"    def send_task(self) -> Task:\n",{"type":24,"tag":382,"props":20921,"children":20922},{"class":384,"line":18446},[20923],{"type":24,"tag":382,"props":20924,"children":20925},{},[20926],{"type":33,"value":20866},{"type":24,"tag":382,"props":20928,"children":20929},{"class":384,"line":18454},[20930],{"type":24,"tag":382,"props":20931,"children":20932},{},[20933],{"type":33,"value":20934},"            config=self.tasks_config['send_task'],\n",{"type":24,"tag":382,"props":20936,"children":20937},{"class":384,"line":18463},[20938],{"type":24,"tag":382,"props":20939,"children":20940},{},[20941],{"type":33,"value":20942},"            agent=self.sender(),\n",{"type":24,"tag":382,"props":20944,"children":20945},{"class":384,"line":18472},[20946],{"type":24,"tag":382,"props":20947,"children":20948},{},[20949],{"type":33,"value":20950},"            context=[self.writing_task()]\n",{"type":24,"tag":382,"props":20952,"children":20953},{"class":384,"line":18481},[20954],{"type":24,"tag":382,"props":20955,"children":20956},{},[20957],{"type":33,"value":20755},{"type":24,"tag":382,"props":20959,"children":20960},{"class":384,"line":18490},[20961],{"type":24,"tag":382,"props":20962,"children":20963},{"emptyLinePlaceholder":19},[20964],{"type":33,"value":409},{"type":24,"tag":382,"props":20966,"children":20967},{"class":384,"line":18499},[20968],{"type":24,"tag":382,"props":20969,"children":20970},{},[20971],{"type":33,"value":20972},"    @crew\n",{"type":24,"tag":382,"props":20974,"children":20975},{"class":384,"line":18508},[20976],{"type":24,"tag":382,"props":20977,"children":20978},{},[20979],{"type":33,"value":20980},"    def crew(self) -> Crew:\n",{"type":24,"tag":382,"props":20982,"children":20983},{"class":384,"line":18517},[20984],{"type":24,"tag":382,"props":20985,"children":20986},{},[20987],{"type":33,"value":20988},"        \"\"\"Creates the WeeklyReport crew\"\"\"\n",{"type":24,"tag":382,"props":20990,"children":20991},{"class":384,"line":18526},[20992],{"type":24,"tag":382,"props":20993,"children":20994},{},[20995],{"type":33,"value":20996},"        return Crew(\n",{"type":24,"tag":382,"props":20998,"children":20999},{"class":384,"line":18535},[21000],{"type":24,"tag":382,"props":21001,"children":21002},{},[21003],{"type":33,"value":21004},"            agents=self.agents, # Automatically created by the @agent decorator\n",{"type":24,"tag":382,"props":21006,"children":21007},{"class":384,"line":18544},[21008],{"type":24,"tag":382,"props":21009,"children":21010},{},[21011],{"type":33,"value":21012},"            tasks=self.tasks, # Automatically created by the @task decorator\n",{"type":24,"tag":382,"props":21014,"children":21015},{"class":384,"line":18553},[21016],{"type":24,"tag":382,"props":21017,"children":21018},{},[21019],{"type":33,"value":21020},"            # process=Process.sequential,\n",{"type":24,"tag":382,"props":21022,"children":21023},{"class":384,"line":18562},[21024],{"type":24,"tag":382,"props":21025,"children":21026},{},[21027],{"type":33,"value":21028},"            verbose=2,\n",{"type":24,"tag":382,"props":21030,"children":21031},{"class":384,"line":18571},[21032],{"type":24,"tag":382,"props":21033,"children":21034},{},[21035],{"type":33,"value":21036},"            process=Process.hierarchical, # In case you wanna use that instead https://docs.crewai.com/how-to/Hierarchical/\n",{"type":24,"tag":382,"props":21038,"children":21039},{"class":384,"line":18580},[21040],{"type":24,"tag":382,"props":21041,"children":21042},{},[21043],{"type":33,"value":21044},"            manager_llm=function_calling_llm,\n",{"type":24,"tag":382,"props":21046,"children":21047},{"class":384,"line":18589},[21048],{"type":24,"tag":382,"props":21049,"children":21050},{},[21051],{"type":33,"value":20755},{"type":24,"tag":29,"props":21053,"children":21054},{},[21055],{"type":24,"tag":73,"props":21056,"children":21057},{},[21058],{"type":33,"value":21059},"自定义工具开发：",{"type":24,"tag":29,"props":21061,"children":21062},{},[21063,21065,21071,21073,21079,21080,21086],{"type":33,"value":21064},"在CrewAI框架中，自定义工具是通过Python类来实现的，这些类继承自",{"type":24,"tag":192,"props":21066,"children":21068},{"className":21067},[],[21069],{"type":33,"value":21070},"BaseTool",{"type":33,"value":21072},"，并根据需要完成特定的任务。例如，",{"type":24,"tag":192,"props":21074,"children":21076},{"className":21075},[],[21077],{"type":33,"value":21078},"SendEmailTool",{"type":33,"value":1577},{"type":24,"tag":192,"props":21081,"children":21083},{"className":21082},[],[21084],{"type":33,"value":21085},"SendYuqueDocTool",{"type":33,"value":21087},"是两个用于发送邮件和发布语雀文档的工具。",{"type":24,"tag":65,"props":21089,"children":21090},{},[21091],{"type":24,"tag":69,"props":21092,"children":21093},{},[21094,21098,21100,21106],{"type":24,"tag":73,"props":21095,"children":21096},{},[21097],{"type":33,"value":21078},{"type":33,"value":21099},"：这个工具负责发送包含周报内容的邮件。它使用Python的",{"type":24,"tag":192,"props":21101,"children":21103},{"className":21102},[],[21104],{"type":33,"value":21105},"smtplib",{"type":33,"value":21107},"库来通过阿里云企业邮箱发送邮件。工具的输入是一个包含邮件内容的字符串，输出是发送成功或失败的信息。",{"type":24,"tag":372,"props":21109,"children":21111},{"className":374,"code":21110,"language":376,"meta":8,"style":8},"import os\n\nfrom dotenv import load_dotenv\nfrom crewai_tools import BaseTool\nfrom pydantic.v1 import BaseModel, Field\nfrom typing import Type, List\n\nclass SendEmailInput(BaseModel):\n    content: str = Field(..., title=\"邮件正文\", description=\"周报的具体内容\")\n\nclass SendEmailTool(BaseTool):\n    name: str = \"发送邮件工具\"\n    description: str = \"用于发送部门周报邮件，标题和收件人都不需要填写，固定为AI&UI小组工作周报\"\n    args_schema: Type[BaseModel] = SendEmailInput\n\n    def send_email(self, content: str):\n        load_dotenv()\n        # 配置阿里企业邮箱\n        mail_host = \"smtp.qiye.aliyun.com\"\n        sender = os.getenv(\"ALI_SENDER\")\n        passwd = os.getenv(\"ALI_PASSWD\")\n        import smtplib\n        from email.mime.text import MIMEText\n        from email.header import Header\n        from email.utils import formataddr\n        receivers = os.getenv(\"ALI_RECEIVERS\")\n        # 用markdown格式发送邮件\n        content = f\"\"\"{content}\"\"\"\n        import markdown2\n        content = markdown2.markdown(content)\n        print(content)\n        print(sender)\n        print(receivers)\n        msg = MIMEText(content, 'html', 'utf-8')\n        msg['From'] = formataddr([\"xdfs\", sender])\n        msg['To'] = receivers\n        msg['Subject'] = Header(\"AI&UI小组工作周报\", 'utf-8').encode()\n        print(msg)\n        to_list = receivers.split(',')\n        try:\n            server = smtplib.SMTP_SSL(mail_host, 465)\n            server.login(sender, passwd)\n            server.sendmail(sender, to_list, msg.as_string())\n            server.close()\n            return '邮件发送成功'\n        except Exception as e:\n            return '邮件发送失败 %s' % e\n    \n    def _run(self, content: str) -> str:\n        load_dotenv()\n        result = self.send_email(content)\n        return result\n",[21112],{"type":24,"tag":192,"props":21113,"children":21114},{"__ignoreMap":8},[21115,21123,21130,21138,21146,21154,21162,21169,21177,21185,21192,21200,21208,21216,21224,21231,21239,21247,21255,21263,21271,21279,21287,21295,21303,21311,21319,21327,21335,21343,21351,21359,21367,21375,21383,21391,21399,21407,21415,21423,21431,21439,21447,21455,21463,21471,21479,21487,21494,21502,21509,21517],{"type":24,"tag":382,"props":21116,"children":21117},{"class":384,"line":385},[21118],{"type":24,"tag":382,"props":21119,"children":21120},{},[21121],{"type":33,"value":21122},"import os\n",{"type":24,"tag":382,"props":21124,"children":21125},{"class":384,"line":394},[21126],{"type":24,"tag":382,"props":21127,"children":21128},{"emptyLinePlaceholder":19},[21129],{"type":33,"value":409},{"type":24,"tag":382,"props":21131,"children":21132},{"class":384,"line":403},[21133],{"type":24,"tag":382,"props":21134,"children":21135},{},[21136],{"type":33,"value":21137},"from dotenv import load_dotenv\n",{"type":24,"tag":382,"props":21139,"children":21140},{"class":384,"line":412},[21141],{"type":24,"tag":382,"props":21142,"children":21143},{},[21144],{"type":33,"value":21145},"from crewai_tools import BaseTool\n",{"type":24,"tag":382,"props":21147,"children":21148},{"class":384,"line":421},[21149],{"type":24,"tag":382,"props":21150,"children":21151},{},[21152],{"type":33,"value":21153},"from pydantic.v1 import BaseModel, Field\n",{"type":24,"tag":382,"props":21155,"children":21156},{"class":384,"line":430},[21157],{"type":24,"tag":382,"props":21158,"children":21159},{},[21160],{"type":33,"value":21161},"from typing import Type, List\n",{"type":24,"tag":382,"props":21163,"children":21164},{"class":384,"line":438},[21165],{"type":24,"tag":382,"props":21166,"children":21167},{"emptyLinePlaceholder":19},[21168],{"type":33,"value":409},{"type":24,"tag":382,"props":21170,"children":21171},{"class":384,"line":447},[21172],{"type":24,"tag":382,"props":21173,"children":21174},{},[21175],{"type":33,"value":21176},"class SendEmailInput(BaseModel):\n",{"type":24,"tag":382,"props":21178,"children":21179},{"class":384,"line":456},[21180],{"type":24,"tag":382,"props":21181,"children":21182},{},[21183],{"type":33,"value":21184},"    content: str = Field(..., title=\"邮件正文\", description=\"周报的具体内容\")\n",{"type":24,"tag":382,"props":21186,"children":21187},{"class":384,"line":1182},[21188],{"type":24,"tag":382,"props":21189,"children":21190},{"emptyLinePlaceholder":19},[21191],{"type":33,"value":409},{"type":24,"tag":382,"props":21193,"children":21194},{"class":384,"line":1191},[21195],{"type":24,"tag":382,"props":21196,"children":21197},{},[21198],{"type":33,"value":21199},"class SendEmailTool(BaseTool):\n",{"type":24,"tag":382,"props":21201,"children":21202},{"class":384,"line":1200},[21203],{"type":24,"tag":382,"props":21204,"children":21205},{},[21206],{"type":33,"value":21207},"    name: str = \"发送邮件工具\"\n",{"type":24,"tag":382,"props":21209,"children":21210},{"class":384,"line":1208},[21211],{"type":24,"tag":382,"props":21212,"children":21213},{},[21214],{"type":33,"value":21215},"    description: str = \"用于发送部门周报邮件，标题和收件人都不需要填写，固定为AI&UI小组工作周报\"\n",{"type":24,"tag":382,"props":21217,"children":21218},{"class":384,"line":1217},[21219],{"type":24,"tag":382,"props":21220,"children":21221},{},[21222],{"type":33,"value":21223},"    args_schema: Type[BaseModel] = SendEmailInput\n",{"type":24,"tag":382,"props":21225,"children":21226},{"class":384,"line":1226},[21227],{"type":24,"tag":382,"props":21228,"children":21229},{"emptyLinePlaceholder":19},[21230],{"type":33,"value":409},{"type":24,"tag":382,"props":21232,"children":21233},{"class":384,"line":1234},[21234],{"type":24,"tag":382,"props":21235,"children":21236},{},[21237],{"type":33,"value":21238},"    def send_email(self, content: str):\n",{"type":24,"tag":382,"props":21240,"children":21241},{"class":384,"line":1243},[21242],{"type":24,"tag":382,"props":21243,"children":21244},{},[21245],{"type":33,"value":21246},"        load_dotenv()\n",{"type":24,"tag":382,"props":21248,"children":21249},{"class":384,"line":9559},[21250],{"type":24,"tag":382,"props":21251,"children":21252},{},[21253],{"type":33,"value":21254},"        # 配置阿里企业邮箱\n",{"type":24,"tag":382,"props":21256,"children":21257},{"class":384,"line":9568},[21258],{"type":24,"tag":382,"props":21259,"children":21260},{},[21261],{"type":33,"value":21262},"        mail_host = \"smtp.qiye.aliyun.com\"\n",{"type":24,"tag":382,"props":21264,"children":21265},{"class":384,"line":9577},[21266],{"type":24,"tag":382,"props":21267,"children":21268},{},[21269],{"type":33,"value":21270},"        sender = os.getenv(\"ALI_SENDER\")\n",{"type":24,"tag":382,"props":21272,"children":21273},{"class":384,"line":9586},[21274],{"type":24,"tag":382,"props":21275,"children":21276},{},[21277],{"type":33,"value":21278},"        passwd = os.getenv(\"ALI_PASSWD\")\n",{"type":24,"tag":382,"props":21280,"children":21281},{"class":384,"line":9594},[21282],{"type":24,"tag":382,"props":21283,"children":21284},{},[21285],{"type":33,"value":21286},"        import smtplib\n",{"type":24,"tag":382,"props":21288,"children":21289},{"class":384,"line":9603},[21290],{"type":24,"tag":382,"props":21291,"children":21292},{},[21293],{"type":33,"value":21294},"        from email.mime.text import MIMEText\n",{"type":24,"tag":382,"props":21296,"children":21297},{"class":384,"line":18125},[21298],{"type":24,"tag":382,"props":21299,"children":21300},{},[21301],{"type":33,"value":21302},"        from email.header import Header\n",{"type":24,"tag":382,"props":21304,"children":21305},{"class":384,"line":18134},[21306],{"type":24,"tag":382,"props":21307,"children":21308},{},[21309],{"type":33,"value":21310},"        from email.utils import formataddr\n",{"type":24,"tag":382,"props":21312,"children":21313},{"class":384,"line":18142},[21314],{"type":24,"tag":382,"props":21315,"children":21316},{},[21317],{"type":33,"value":21318},"        receivers = os.getenv(\"ALI_RECEIVERS\")\n",{"type":24,"tag":382,"props":21320,"children":21321},{"class":384,"line":18151},[21322],{"type":24,"tag":382,"props":21323,"children":21324},{},[21325],{"type":33,"value":21326},"        # 用markdown格式发送邮件\n",{"type":24,"tag":382,"props":21328,"children":21329},{"class":384,"line":18160},[21330],{"type":24,"tag":382,"props":21331,"children":21332},{},[21333],{"type":33,"value":21334},"        content = f\"\"\"{content}\"\"\"\n",{"type":24,"tag":382,"props":21336,"children":21337},{"class":384,"line":18169},[21338],{"type":24,"tag":382,"props":21339,"children":21340},{},[21341],{"type":33,"value":21342},"        import 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print(receivers)\n",{"type":24,"tag":382,"props":21376,"children":21377},{"class":384,"line":18214},[21378],{"type":24,"tag":382,"props":21379,"children":21380},{},[21381],{"type":33,"value":21382},"        msg = MIMEText(content, 'html', 'utf-8')\n",{"type":24,"tag":382,"props":21384,"children":21385},{"class":384,"line":18223},[21386],{"type":24,"tag":382,"props":21387,"children":21388},{},[21389],{"type":33,"value":21390},"        msg['From'] = formataddr([\"xdfs\", sender])\n",{"type":24,"tag":382,"props":21392,"children":21393},{"class":384,"line":18232},[21394],{"type":24,"tag":382,"props":21395,"children":21396},{},[21397],{"type":33,"value":21398},"        msg['To'] = receivers\n",{"type":24,"tag":382,"props":21400,"children":21401},{"class":384,"line":18241},[21402],{"type":24,"tag":382,"props":21403,"children":21404},{},[21405],{"type":33,"value":21406},"        msg['Subject'] = Header(\"AI&UI小组工作周报\", 'utf-8').encode()\n",{"type":24,"tag":382,"props":21408,"children":21409},{"class":384,"line":18250},[21410],{"type":24,"tag":382,"props":21411,"children":21412},{},[21413],{"type":33,"value":21414},"        print(msg)\n",{"type":24,"tag":382,"props":21416,"children":21417},{"class":384,"line":18259},[21418],{"type":24,"tag":382,"props":21419,"children":21420},{},[21421],{"type":33,"value":21422},"        to_list = receivers.split(',')\n",{"type":24,"tag":382,"props":21424,"children":21425},{"class":384,"line":18268},[21426],{"type":24,"tag":382,"props":21427,"children":21428},{},[21429],{"type":33,"value":21430},"        try:\n",{"type":24,"tag":382,"props":21432,"children":21433},{"class":384,"line":18277},[21434],{"type":24,"tag":382,"props":21435,"children":21436},{},[21437],{"type":33,"value":21438},"            server = smtplib.SMTP_SSL(mail_host, 465)\n",{"type":24,"tag":382,"props":21440,"children":21441},{"class":384,"line":18286},[21442],{"type":24,"tag":382,"props":21443,"children":21444},{},[21445],{"type":33,"value":21446},"            server.login(sender, passwd)\n",{"type":24,"tag":382,"props":21448,"children":21449},{"class":384,"line":18295},[21450],{"type":24,"tag":382,"props":21451,"children":21452},{},[21453],{"type":33,"value":21454},"            server.sendmail(sender, to_list, msg.as_string())\n",{"type":24,"tag":382,"props":21456,"children":21457},{"class":384,"line":18304},[21458],{"type":24,"tag":382,"props":21459,"children":21460},{},[21461],{"type":33,"value":21462},"            server.close()\n",{"type":24,"tag":382,"props":21464,"children":21465},{"class":384,"line":18313},[21466],{"type":24,"tag":382,"props":21467,"children":21468},{},[21469],{"type":33,"value":21470},"            return '邮件发送成功'\n",{"type":24,"tag":382,"props":21472,"children":21473},{"class":384,"line":18322},[21474],{"type":24,"tag":382,"props":21475,"children":21476},{},[21477],{"type":33,"value":21478},"        except Exception as e:\n",{"type":24,"tag":382,"props":21480,"children":21481},{"class":384,"line":18331},[21482],{"type":24,"tag":382,"props":21483,"children":21484},{},[21485],{"type":33,"value":21486},"            return '邮件发送失败 %s' % e\n",{"type":24,"tag":382,"props":21488,"children":21489},{"class":384,"line":18340},[21490],{"type":24,"tag":382,"props":21491,"children":21492},{},[21493],{"type":33,"value":18066},{"type":24,"tag":382,"props":21495,"children":21496},{"class":384,"line":18349},[21497],{"type":24,"tag":382,"props":21498,"children":21499},{},[21500],{"type":33,"value":21501},"    def _run(self, content: str) -> str:\n",{"type":24,"tag":382,"props":21503,"children":21504},{"class":384,"line":18358},[21505],{"type":24,"tag":382,"props":21506,"children":21507},{},[21508],{"type":33,"value":21246},{"type":24,"tag":382,"props":21510,"children":21511},{"class":384,"line":18367},[21512],{"type":24,"tag":382,"props":21513,"children":21514},{},[21515],{"type":33,"value":21516},"        result = self.send_email(content)\n",{"type":24,"tag":382,"props":21518,"children":21519},{"class":384,"line":18375},[21520],{"type":24,"tag":382,"props":21521,"children":21522},{},[21523],{"type":33,"value":18131},{"type":24,"tag":65,"props":21525,"children":21526},{},[21527],{"type":24,"tag":69,"props":21528,"children":21529},{},[21530,21534],{"type":24,"tag":73,"props":21531,"children":21532},{},[21533],{"type":33,"value":21085},{"type":33,"value":21535},"：这个工具用于将Markdown格式的周报发布到语雀知识库中。它通过语雀的API来创建新的文档，并将周报内容作为文档正文。工具的输入是Markdown格式的周报内容，输出是发布成功或失败的信息。",{"type":24,"tag":372,"props":21537,"children":21539},{"className":374,"code":21538,"language":376,"meta":8,"style":8},"from crewai_tools import BaseTool\nfrom dotenv import load_dotenv\nimport os\nimport requests\n\nclass SendYuqueDocTool(BaseTool):\n    name: str = \"发送语雀文档工具\"\n    description: str = \"用于发送或者发布语雀文档到语雀知识库的工具\"\n\n    def get_this_friday(self):\n        import datetime\n        today = datetime.date.today()\n        today_weekday = today.weekday()\n        print(today_weekday)\n        if today_weekday == 4:\n            return today\n        elif today_weekday > 4:\n            return today - datetime.timedelta(days=(today_weekday-4) % 7)\n        else:\n            return today + datetime.timedelta(days=(4 - today_weekday) % 7)\n    \n\n    def _run(self, content: str) -> str:\n        load_dotenv()\n        auth_token = os.getenv(\"YUQUE_AUTH_TOKEN\")\n        login = os.getenv(\"YUQUE_LOGIN\")\n        slug = os.getenv(\"YUQUE_SLUG\")\n        # 获取周报所在目录的uuid\n        get_toc_url = f\"https://www.yuque.com/api/v2/repos/{login}/{slug}/toc\"\n        header = {\"X-Auth-Token\": auth_token}\n        res_toc = requests.get(get_toc_url, headers=header)\n        toc = res_toc.json()\n        this_friday = self.get_this_friday().strftime(\"%Y%m%d\")\n        print(this_friday)\n        target_uuid = \"\"\n        for item in toc[\"data\"]:\n            if item[\"type\"] == \"TITLE\" and item[\"title\"] == this_friday:\n                target_uuid = item[\"uuid\"]\n                break\n        print(target_uuid)\n        # 需要单独调用更新目录接口才能更新文档到目录\n        if target_uuid == \"\":\n            return \"未找到周报目录\"\n        create_doc_url = f\"https://www.yuque.com/api/v2/repos/{login}/{slug}/docs\"\n        header = {\"X-Auth-Token\": auth_token}\n        data = {\n            \"title\": \"部门工作周报\",\n            \"format\": \"markdown\",\n            \"body\": content\n        }\n        created_article = requests.post(create_doc_url, headers=header, data=data)\n        update_toc_url = f\"https://www.yuque.com/api/v2/repos/{login}/{slug}/toc\"\n        data = {\n            \"action\": \"appendNode\",\n            \"action_mode\": \"child\",\n            \"type\": \"DOC\",\n            \"doc_ids\": [created_article.json()[\"data\"][\"id\"]],\n            \"target_uuid\": target_uuid\n        }\n        response = requests.put(update_toc_url, headers=header, json=data)\n        return \"创建语雀文档成功！\"\n",[21540],{"type":24,"tag":192,"props":21541,"children":21542},{"__ignoreMap":8},[21543,21550,21557,21564,21572,21579,21587,21595,21603,21610,21618,21626,21634,21642,21650,21658,21666,21674,21682,21690,21698,21705,21712,21719,21726,21734,21742,21750,21758,21766,21774,21782,21790,21798,21806,21814,21822,21830,21838,21846,21854,21862,21870,21878,21886,21893,21901,21909,21917,21925,21932,21940,21948,21955,21963,21971,21979,21987,21995,22002,22010],{"type":24,"tag":382,"props":21544,"children":21545},{"class":384,"line":385},[21546],{"type":24,"tag":382,"props":21547,"children":21548},{},[21549],{"type":33,"value":21145},{"type":24,"tag":382,"props":21551,"children":21552},{"class":384,"line":394},[21553],{"type":24,"tag":382,"props":21554,"children":21555},{},[21556],{"type":33,"value":21137},{"type":24,"tag":382,"props":21558,"children":21559},{"class":384,"line":403},[21560],{"type":24,"tag":382,"props":21561,"children":21562},{},[21563],{"type":33,"value":21122},{"type":24,"tag":382,"props":21565,"children":21566},{"class":384,"line":412},[21567],{"type":24,"tag":382,"props":21568,"children":21569},{},[21570],{"type":33,"value":21571},"import requests\n",{"type":24,"tag":382,"props":21573,"children":21574},{"class":384,"line":421},[21575],{"type":24,"tag":382,"props":21576,"children":21577},{"emptyLinePlaceholder":19},[21578],{"type":33,"value":409},{"type":24,"tag":382,"props":21580,"children":21581},{"class":384,"line":430},[21582],{"type":24,"tag":382,"props":21583,"children":21584},{},[21585],{"type":33,"value":21586},"class SendYuqueDocTool(BaseTool):\n",{"type":24,"tag":382,"props":21588,"children":21589},{"class":384,"line":438},[21590],{"type":24,"tag":382,"props":21591,"children":21592},{},[21593],{"type":33,"value":21594},"    name: str = \"发送语雀文档工具\"\n",{"type":24,"tag":382,"props":21596,"children":21597},{"class":384,"line":447},[21598],{"type":24,"tag":382,"props":21599,"children":21600},{},[21601],{"type":33,"value":21602},"    description: str = \"用于发送或者发布语雀文档到语雀知识库的工具\"\n",{"type":24,"tag":382,"props":21604,"children":21605},{"class":384,"line":456},[21606],{"type":24,"tag":382,"props":21607,"children":21608},{"emptyLinePlaceholder":19},[21609],{"type":33,"value":409},{"type":24,"tag":382,"props":21611,"children":21612},{"class":384,"line":1182},[21613],{"type":24,"tag":382,"props":21614,"children":21615},{},[21616],{"type":33,"value":21617},"    def get_this_friday(self):\n",{"type":24,"tag":382,"props":21619,"children":21620},{"class":384,"line":1191},[21621],{"type":24,"tag":382,"props":21622,"children":21623},{},[21624],{"type":33,"value":21625},"        import datetime\n",{"type":24,"tag":382,"props":21627,"children":21628},{"class":384,"line":1200},[21629],{"type":24,"tag":382,"props":21630,"children":21631},{},[21632],{"type":33,"value":21633},"        today = datetime.date.today()\n",{"type":24,"tag":382,"props":21635,"children":21636},{"class":384,"line":1208},[21637],{"type":24,"tag":382,"props":21638,"children":21639},{},[21640],{"type":33,"value":21641},"        today_weekday = today.weekday()\n",{"type":24,"tag":382,"props":21643,"children":21644},{"class":384,"line":1217},[21645],{"type":24,"tag":382,"props":21646,"children":21647},{},[21648],{"type":33,"value":21649},"        print(today_weekday)\n",{"type":24,"tag":382,"props":21651,"children":21652},{"class":384,"line":1226},[21653],{"type":24,"tag":382,"props":21654,"children":21655},{},[21656],{"type":33,"value":21657},"        if today_weekday == 4:\n",{"type":24,"tag":382,"props":21659,"children":21660},{"class":384,"line":1234},[21661],{"type":24,"tag":382,"props":21662,"children":21663},{},[21664],{"type":33,"value":21665},"            return today\n",{"type":24,"tag":382,"props":21667,"children":21668},{"class":384,"line":1243},[21669],{"type":24,"tag":382,"props":21670,"children":21671},{},[21672],{"type":33,"value":21673},"        elif today_weekday > 4:\n",{"type":24,"tag":382,"props":21675,"children":21676},{"class":384,"line":9559},[21677],{"type":24,"tag":382,"props":21678,"children":21679},{},[21680],{"type":33,"value":21681},"            return today - datetime.timedelta(days=(today_weekday-4) % 7)\n",{"type":24,"tag":382,"props":21683,"children":21684},{"class":384,"line":9568},[21685],{"type":24,"tag":382,"props":21686,"children":21687},{},[21688],{"type":33,"value":21689},"        else:\n",{"type":24,"tag":382,"props":21691,"children":21692},{"class":384,"line":9577},[21693],{"type":24,"tag":382,"props":21694,"children":21695},{},[21696],{"type":33,"value":21697},"            return today + datetime.timedelta(days=(4 - today_weekday) % 7)\n",{"type":24,"tag":382,"props":21699,"children":21700},{"class":384,"line":9586},[21701],{"type":24,"tag":382,"props":21702,"children":21703},{},[21704],{"type":33,"value":18066},{"type":24,"tag":382,"props":21706,"children":21707},{"class":384,"line":9594},[21708],{"type":24,"tag":382,"props":21709,"children":21710},{"emptyLinePlaceholder":19},[21711],{"type":33,"value":409},{"type":24,"tag":382,"props":21713,"children":21714},{"class":384,"line":9603},[21715],{"type":24,"tag":382,"props":21716,"children":21717},{},[21718],{"type":33,"value":21501},{"type":24,"tag":382,"props":21720,"children":21721},{"class":384,"line":18125},[21722],{"type":24,"tag":382,"props":21723,"children":21724},{},[21725],{"type":33,"value":21246},{"type":24,"tag":382,"props":21727,"children":21728},{"class":384,"line":18134},[21729],{"type":24,"tag":382,"props":21730,"children":21731},{},[21732],{"type":33,"value":21733},"        auth_token = os.getenv(\"YUQUE_AUTH_TOKEN\")\n",{"type":24,"tag":382,"props":21735,"children":21736},{"class":384,"line":18142},[21737],{"type":24,"tag":382,"props":21738,"children":21739},{},[21740],{"type":33,"value":21741},"        login = os.getenv(\"YUQUE_LOGIN\")\n",{"type":24,"tag":382,"props":21743,"children":21744},{"class":384,"line":18151},[21745],{"type":24,"tag":382,"props":21746,"children":21747},{},[21748],{"type":33,"value":21749},"        slug = os.getenv(\"YUQUE_SLUG\")\n",{"type":24,"tag":382,"props":21751,"children":21752},{"class":384,"line":18160},[21753],{"type":24,"tag":382,"props":21754,"children":21755},{},[21756],{"type":33,"value":21757},"        # 获取周报所在目录的uuid\n",{"type":24,"tag":382,"props":21759,"children":21760},{"class":384,"line":18169},[21761],{"type":24,"tag":382,"props":21762,"children":21763},{},[21764],{"type":33,"value":21765},"        get_toc_url = f\"https://www.yuque.com/api/v2/repos/{login}/{slug}/toc\"\n",{"type":24,"tag":382,"props":21767,"children":21768},{"class":384,"line":18178},[21769],{"type":24,"tag":382,"props":21770,"children":21771},{},[21772],{"type":33,"value":21773},"        header = {\"X-Auth-Token\": auth_token}\n",{"type":24,"tag":382,"props":21775,"children":21776},{"class":384,"line":18187},[21777],{"type":24,"tag":382,"props":21778,"children":21779},{},[21780],{"type":33,"value":21781},"        res_toc = requests.get(get_toc_url, headers=header)\n",{"type":24,"tag":382,"props":21783,"children":21784},{"class":384,"line":18196},[21785],{"type":24,"tag":382,"props":21786,"children":21787},{},[21788],{"type":33,"value":21789},"        toc = res_toc.json()\n",{"type":24,"tag":382,"props":21791,"children":21792},{"class":384,"line":18205},[21793],{"type":24,"tag":382,"props":21794,"children":21795},{},[21796],{"type":33,"value":21797},"        this_friday = self.get_this_friday().strftime(\"%Y%m%d\")\n",{"type":24,"tag":382,"props":21799,"children":21800},{"class":384,"line":18214},[21801],{"type":24,"tag":382,"props":21802,"children":21803},{},[21804],{"type":33,"value":21805},"        print(this_friday)\n",{"type":24,"tag":382,"props":21807,"children":21808},{"class":384,"line":18223},[21809],{"type":24,"tag":382,"props":21810,"children":21811},{},[21812],{"type":33,"value":21813},"        target_uuid = \"\"\n",{"type":24,"tag":382,"props":21815,"children":21816},{"class":384,"line":18232},[21817],{"type":24,"tag":382,"props":21818,"children":21819},{},[21820],{"type":33,"value":21821},"        for item in toc[\"data\"]:\n",{"type":24,"tag":382,"props":21823,"children":21824},{"class":384,"line":18241},[21825],{"type":24,"tag":382,"props":21826,"children":21827},{},[21828],{"type":33,"value":21829},"            if item[\"type\"] == \"TITLE\" and item[\"title\"] == this_friday:\n",{"type":24,"tag":382,"props":21831,"children":21832},{"class":384,"line":18250},[21833],{"type":24,"tag":382,"props":21834,"children":21835},{},[21836],{"type":33,"value":21837},"                target_uuid = item[\"uuid\"]\n",{"type":24,"tag":382,"props":21839,"children":21840},{"class":384,"line":18259},[21841],{"type":24,"tag":382,"props":21842,"children":21843},{},[21844],{"type":33,"value":21845},"                break\n",{"type":24,"tag":382,"props":21847,"children":21848},{"class":384,"line":18268},[21849],{"type":24,"tag":382,"props":21850,"children":21851},{},[21852],{"type":33,"value":21853},"        print(target_uuid)\n",{"type":24,"tag":382,"props":21855,"children":21856},{"class":384,"line":18277},[21857],{"type":24,"tag":382,"props":21858,"children":21859},{},[21860],{"type":33,"value":21861},"        # 需要单独调用更新目录接口才能更新文档到目录\n",{"type":24,"tag":382,"props":21863,"children":21864},{"class":384,"line":18286},[21865],{"type":24,"tag":382,"props":21866,"children":21867},{},[21868],{"type":33,"value":21869},"        if target_uuid == \"\":\n",{"type":24,"tag":382,"props":21871,"children":21872},{"class":384,"line":18295},[21873],{"type":24,"tag":382,"props":21874,"children":21875},{},[21876],{"type":33,"value":21877},"            return \"未找到周报目录\"\n",{"type":24,"tag":382,"props":21879,"children":21880},{"class":384,"line":18304},[21881],{"type":24,"tag":382,"props":21882,"children":21883},{},[21884],{"type":33,"value":21885},"        create_doc_url = f\"https://www.yuque.com/api/v2/repos/{login}/{slug}/docs\"\n",{"type":24,"tag":382,"props":21887,"children":21888},{"class":384,"line":18313},[21889],{"type":24,"tag":382,"props":21890,"children":21891},{},[21892],{"type":33,"value":21773},{"type":24,"tag":382,"props":21894,"children":21895},{"class":384,"line":18322},[21896],{"type":24,"tag":382,"props":21897,"children":21898},{},[21899],{"type":33,"value":21900},"        data = {\n",{"type":24,"tag":382,"props":21902,"children":21903},{"class":384,"line":18331},[21904],{"type":24,"tag":382,"props":21905,"children":21906},{},[21907],{"type":33,"value":21908},"            \"title\": \"部门工作周报\",\n",{"type":24,"tag":382,"props":21910,"children":21911},{"class":384,"line":18340},[21912],{"type":24,"tag":382,"props":21913,"children":21914},{},[21915],{"type":33,"value":21916},"            \"format\": \"markdown\",\n",{"type":24,"tag":382,"props":21918,"children":21919},{"class":384,"line":18349},[21920],{"type":24,"tag":382,"props":21921,"children":21922},{},[21923],{"type":33,"value":21924},"            \"body\": content\n",{"type":24,"tag":382,"props":21926,"children":21927},{"class":384,"line":18358},[21928],{"type":24,"tag":382,"props":21929,"children":21930},{},[21931],{"type":33,"value":1921},{"type":24,"tag":382,"props":21933,"children":21934},{"class":384,"line":18367},[21935],{"type":24,"tag":382,"props":21936,"children":21937},{},[21938],{"type":33,"value":21939},"        created_article = requests.post(create_doc_url, headers=header, data=data)\n",{"type":24,"tag":382,"props":21941,"children":21942},{"class":384,"line":18375},[21943],{"type":24,"tag":382,"props":21944,"children":21945},{},[21946],{"type":33,"value":21947},"        update_toc_url = f\"https://www.yuque.com/api/v2/repos/{login}/{slug}/toc\"\n",{"type":24,"tag":382,"props":21949,"children":21950},{"class":384,"line":18384},[21951],{"type":24,"tag":382,"props":21952,"children":21953},{},[21954],{"type":33,"value":21900},{"type":24,"tag":382,"props":21956,"children":21957},{"class":384,"line":18392},[21958],{"type":24,"tag":382,"props":21959,"children":21960},{},[21961],{"type":33,"value":21962},"            \"action\": \"appendNode\",\n",{"type":24,"tag":382,"props":21964,"children":21965},{"class":384,"line":18401},[21966],{"type":24,"tag":382,"props":21967,"children":21968},{},[21969],{"type":33,"value":21970},"            \"action_mode\": \"child\",\n",{"type":24,"tag":382,"props":21972,"children":21973},{"class":384,"line":18410},[21974],{"type":24,"tag":382,"props":21975,"children":21976},{},[21977],{"type":33,"value":21978},"            \"type\": 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MotionCLR：一款基于注意力机制的人体动作生成编辑模型，可理解文字生成动作，支持编辑和修改动作序列。\n2. 15岁程序员Minghan Zhang的ChatNIO项目被百万收购，成为公司CTO。\n3. 谷歌AI芯片研究造假事件再掀波澜，内部员工实名揭露真相。\n4. Runway新教程：Camera Control技巧提升AI视频创作。\n5. AIGCLINK：cerebellum智能助手，网页自动化利器。\n6. MiniMates数字人项目：一图驱动，电脑上实现AI虚拟人互动。\n7. 极越两段式端到端智驾方案，行业领先。\n8. Mochi 1开源视频生成模型，视频制作新神器。\n9. 谷歌AI代码门：内部员工实名打脸CEO，AI生成代码夸大其词。\n10. 15岁山东初中生CTO，开源项目被数百万元收购。\n11. UCLA和MIT数学家证伪“上下铺猜想”，AI挑战数学新发现。\n12. GTA基准横空出世，通用工具智能体评测再升级。\n13. 中科大MIR模态融合率助力多模态预训练评估。\n14. AI“幻觉”助力图像分割，通用提示技术突破新境界。\n15. 黄建同学体验AI+VR+ChatGPT纸牌游戏，科技感十足。\n16. AI自省能力惊人实验：LLM能“三省吾身”。\n17. 2024阿里数学竞赛结果揭晓，86位数学英才脱颖而出。\n18. 浙大开源项目GVHMR，45秒变3D动作，运动分析、虚拟试衣秒变现实。\n19. 北大校友打造AI智能体文明，真实版“西部世界”技术揭秘。\n20. Claude 3.5 Sonnet视觉工具大揭秘，视觉分析利器。\n21. 神十八号凯旋归来，航天员太空之旅回顾。\n22. Maxun神器上线，无代码网页数据提取。\n23. HeyGen数字人生成新升级，AI创造营开启奇幻之旅。","2024-11-05 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GitHub：",{"type":24,"tag":1040,"props":52551,"children":52554},{"href":52552,"rel":52553},"https://github.com/HeyPuter/puter",[1044],[52555],{"type":33,"value":52556},"HeyPuter/puter",{"type":33,"value":52558},"\n快来体验你的个人云电脑之旅吧！",{"type":24,"tag":29,"props":52560,"children":52561},{},[52562],{"type":24,"tag":1040,"props":52563,"children":52566},{"href":52564,"rel":52565},"https://weibo.com/5096594996989508/OEwSntki0",[1044],[52567],{"type":33,"value":11402},{"type":24,"tag":29,"props":52569,"children":52570},{},[52571],{"type":33,"value":52572},"标题：【理财达人养成记】#黄圣依大学理财智慧# 巴菲特理财原则深度解析📈",{"type":24,"tag":29,"props":52574,"children":52575},{},[52576],{"type":33,"value":52577},"🎯 黄圣依大学时期就展露理财天赋，这波操作简直“财商”爆表！👍\n🔥 巴菲特理财原则深度解析来啦！记住，人生只需富一次，小富即安，保证不返贫才是关键！\n📚 1998年巴菲特在佛罗里达的演讲，揭秘了长期资本基金管理团队如何从辉煌走向破产，这故事告诉我们，理财路上要谨慎，别让聪明反被聪明误！\n👀 想了解更多？快去微博看黄圣依同学的理财视频，绝对值得一看！#理财小技巧 #投资智慧 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Oasis实时AI世界模型，颠覆游戏开发。","2024-11-03 12:34:23","https://jjbiji-pic.oss-cn-beijing.aliyuncs.com/blg_最新动态915.jpg",[11373],{"type":21,"children":52645,"toc":53204},[52646,52651,52656,52661,52670,52676,52681,52686,52691,52700,52705,52710,52715,52720,52738,52743,52766,52771,52780,52786,52791,52796,52801,52810,52815,52820,52825,52830,52839,52844,52849,52854,52859,52868,52874,52879,52884,52893,52898,52903,52908,52913,52918,52927,52932,52937,52942,52956,52961,52970,52975,52980,52985,52990,52995,53007,53012,53021,53026,53031,53036,53045,53051,53056,53061,53066,53071,53076,53081,53090,53095,53100,53109,53114,53119,53124,53129,53134,53139,53148,53153,53158,53163,53168,53173,53185,53190,53195],{"type":24,"tag":29,"props":52647,"children":52648},{},[52649],{"type":33,"value":52650},"标题：【字幕神器升级！】MLX-Auto-Subtitled-Video-Generator，12分钟视频14秒速转字幕！",{"type":24,"tag":29,"props":52652,"children":52653},{},[52654],{"type":33,"value":52655},"🚀【速度飞起】AIGCLINK推出的基于苹果MLX框架的视频字幕生成工具，使用Large v3 Turbo在M2 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看来游戏圈又迎来了一股新潮流！黄建同学的一条微博引发热议：\"人人都是游戏策划\"。这不，Maeiee紧接着回应：\"人人都是产品经理\"，而时蝇喜箭更是预言：\"以后大家分享游戏都是分享prompt了\"。这不禁让人好奇，这prompt究竟是个啥？🤔",{"type":24,"tag":29,"props":52682,"children":52683},{},[52684],{"type":33,"value":52685},"🔍 据说，prompt是游戏分享的新方式，就像我们以前分享游戏攻略一样，但现在更注重的是分享游戏的创意和灵感。这不，连游戏圈都开始流行这种新玩法了，看来未来游戏分享的战场，将是创意和智慧的较量！",{"type":24,"tag":29,"props":52687,"children":52688},{},[52689],{"type":33,"value":52690},"📢 快来加入这场潮流吧，让我们一起用prompt来分享游戏，让创意无限放大！#人人都是游戏策划 #分享prompt新风尚",{"type":24,"tag":29,"props":52692,"children":52693},{},[52694],{"type":24,"tag":1040,"props":52695,"children":52698},{"href":52696,"rel":52697},"https://weibo.com/5096398806587545/OErLWrDIJ",[1044],[52699],{"type":33,"value":11402},{"type":24,"tag":29,"props":52701,"children":52702},{},[52703],{"type":33,"value":52704},"标题：🎬 AI视频创作幕后揭秘！从200张图片到15秒短视频，灵感值花84元！",{"type":24,"tag":29,"props":52706,"children":52707},{},[52708],{"type":33,"value":52709},"#AI创造营 #ai视频 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还帮我写了一个图像识别的算法也在我的知识范围外，它通过颜色范围识别色块，分别把红色、蓝色、金色生成了对应的掩码图，然后通过掩码图来识别方块的位置，最后生成方块数据。想法奇特，我直呼牛逼。",{"type":24,"tag":53,"props":66104,"children":66106},{"id":66105},"代码解析",[66107],{"type":33,"value":66105},{"type":24,"tag":29,"props":66109,"children":66110},{},[66111],{"type":33,"value":66112},"我本来是不想每次写文章都解析代码的，因为在这个泛娱乐化的时代，大家可能更关心的是结果，而不是过程。但是每次发文章，在没有代码的情况下，总有粉丝问我代码，所以我就解析一下吧。",{"type":24,"tag":138,"props":66114,"children":66116},{"id":66115},"方块类定义",[66117],{"type":33,"value":66115},{"type":24,"tag":372,"props":66119,"children":66121},{"className":374,"code":66120,"language":376,"meta":8,"style":8},"class Block:\n    def __init__(self, x, y, color, width=1, height=1, move_direction='both'):\n        # ... 初始化代码 ...\n\n    def draw(self):\n        # 绘制方块及其边框\n\n    def is_point_inside(self, x, y):\n        # 检查点击是否在方块内\n\n    def start_drag(self, mouse_x, mouse_y):\n        # 开始拖拽方块\n\n    def end_drag(self):\n        # 结束拖拽,对齐网格\n\n    def drag(self, mouse_x, mouse_y, other_blocks):\n        # 拖拽方块,考虑移动方向和碰撞检测\n\n    def check_collision(self, new_x, new_y, other_blocks):\n        # 碰撞检测\n",[66122],{"type":24,"tag":192,"props":66123,"children":66124},{"__ignoreMap":8},[66125,66133,66141,66149,66156,66164,66172,66179,66187,66195,66202,66210,66218,66225,66233,66241,66248,66256,66264,66271,66279],{"type":24,"tag":382,"props":66126,"children":66127},{"class":384,"line":385},[66128],{"type":24,"tag":382,"props":66129,"children":66130},{},[66131],{"type":33,"value":66132},"class Block:\n",{"type":24,"tag":382,"props":66134,"children":66135},{"class":384,"line":394},[66136],{"type":24,"tag":382,"props":66137,"children":66138},{},[66139],{"type":33,"value":66140},"    def __init__(self, x, y, color, width=1, height=1, move_direction='both'):\n",{"type":24,"tag":382,"props":66142,"children":66143},{"class":384,"line":403},[66144],{"type":24,"tag":382,"props":66145,"children":66146},{},[66147],{"type":33,"value":66148},"        # ... 初始化代码 ...\n",{"type":24,"tag":382,"props":66150,"children":66151},{"class":384,"line":412},[66152],{"type":24,"tag":382,"props":66153,"children":66154},{"emptyLinePlaceholder":19},[66155],{"type":33,"value":409},{"type":24,"tag":382,"props":66157,"children":66158},{"class":384,"line":421},[66159],{"type":24,"tag":382,"props":66160,"children":66161},{},[66162],{"type":33,"value":66163},"    def draw(self):\n",{"type":24,"tag":382,"props":66165,"children":66166},{"class":384,"line":430},[66167],{"type":24,"tag":382,"props":66168,"children":66169},{},[66170],{"type":33,"value":66171},"        # 绘制方块及其边框\n",{"type":24,"tag":382,"props":66173,"children":66174},{"class":384,"line":438},[66175],{"type":24,"tag":382,"props":66176,"children":66177},{"emptyLinePlaceholder":19},[66178],{"type":33,"value":409},{"type":24,"tag":382,"props":66180,"children":66181},{"class":384,"line":447},[66182],{"type":24,"tag":382,"props":66183,"children":66184},{},[66185],{"type":33,"value":66186},"    def is_point_inside(self, x, y):\n",{"type":24,"tag":382,"props":66188,"children":66189},{"class":384,"line":456},[66190],{"type":24,"tag":382,"props":66191,"children":66192},{},[66193],{"type":33,"value":66194},"        # 检查点击是否在方块内\n",{"type":24,"tag":382,"props":66196,"children":66197},{"class":384,"line":1182},[66198],{"type":24,"tag":382,"props":66199,"children":66200},{"emptyLinePlaceholder":19},[66201],{"type":33,"value":409},{"type":24,"tag":382,"props":66203,"children":66204},{"class":384,"line":1191},[66205],{"type":24,"tag":382,"props":66206,"children":66207},{},[66208],{"type":33,"value":66209},"    def start_drag(self, mouse_x, mouse_y):\n",{"type":24,"tag":382,"props":66211,"children":66212},{"class":384,"line":1200},[66213],{"type":24,"tag":382,"props":66214,"children":66215},{},[66216],{"type":33,"value":66217},"        # 开始拖拽方块\n",{"type":24,"tag":382,"props":66219,"children":66220},{"class":384,"line":1208},[66221],{"type":24,"tag":382,"props":66222,"children":66223},{"emptyLinePlaceholder":19},[66224],{"type":33,"value":409},{"type":24,"tag":382,"props":66226,"children":66227},{"class":384,"line":1217},[66228],{"type":24,"tag":382,"props":66229,"children":66230},{},[66231],{"type":33,"value":66232},"    def end_drag(self):\n",{"type":24,"tag":382,"props":66234,"children":66235},{"class":384,"line":1226},[66236],{"type":24,"tag":382,"props":66237,"children":66238},{},[66239],{"type":33,"value":66240},"        # 结束拖拽,对齐网格\n",{"type":24,"tag":382,"props":66242,"children":66243},{"class":384,"line":1234},[66244],{"type":24,"tag":382,"props":66245,"children":66246},{"emptyLinePlaceholder":19},[66247],{"type":33,"value":409},{"type":24,"tag":382,"props":66249,"children":66250},{"class":384,"line":1243},[66251],{"type":24,"tag":382,"props":66252,"children":66253},{},[66254],{"type":33,"value":66255},"    def drag(self, mouse_x, mouse_y, other_blocks):\n",{"type":24,"tag":382,"props":66257,"children":66258},{"class":384,"line":9559},[66259],{"type":24,"tag":382,"props":66260,"children":66261},{},[66262],{"type":33,"value":66263},"        # 拖拽方块,考虑移动方向和碰撞检测\n",{"type":24,"tag":382,"props":66265,"children":66266},{"class":384,"line":9568},[66267],{"type":24,"tag":382,"props":66268,"children":66269},{"emptyLinePlaceholder":19},[66270],{"type":33,"value":409},{"type":24,"tag":382,"props":66272,"children":66273},{"class":384,"line":9577},[66274],{"type":24,"tag":382,"props":66275,"children":66276},{},[66277],{"type":33,"value":66278},"    def check_collision(self, new_x, new_y, other_blocks):\n",{"type":24,"tag":382,"props":66280,"children":66281},{"class":384,"line":9586},[66282],{"type":24,"tag":382,"props":66283,"children":66284},{},[66285],{"type":33,"value":66286},"        # 碰撞检测\n",{"type":24,"tag":29,"props":66288,"children":66289},{},[66290],{"type":33,"value":66291},"这个Block类是游戏的核心,定义了方块的属性和行为。它包含了绘制、拖拽和碰撞检测等功能,确保了游戏的基本交互逻辑。",{"type":24,"tag":138,"props":66293,"children":66295},{"id":66294},"智能寻路算法",[66296],{"type":33,"value":66294},{"type":24,"tag":372,"props":66298,"children":66300},{"className":374,"code":66299,"language":376,"meta":8,"style":8},"def get_solution(blocks, key):\n    initial_state = tuple((b.x, b.y) for b in blocks + [key])\n    queue = deque([(initial_state, [])])\n    visited = set([initial_state])\n\n    while queue:\n        state, path = queue.popleft()\n        # ... BFS算法实现 ...\n\n    return None  # 没有找到解决方案\n",[66301],{"type":24,"tag":192,"props":66302,"children":66303},{"__ignoreMap":8},[66304,66312,66320,66328,66336,66343,66351,66359,66367,66374],{"type":24,"tag":382,"props":66305,"children":66306},{"class":384,"line":385},[66307],{"type":24,"tag":382,"props":66308,"children":66309},{},[66310],{"type":33,"value":66311},"def get_solution(blocks, key):\n",{"type":24,"tag":382,"props":66313,"children":66314},{"class":384,"line":394},[66315],{"type":24,"tag":382,"props":66316,"children":66317},{},[66318],{"type":33,"value":66319},"    initial_state = tuple((b.x, b.y) for b in blocks + [key])\n",{"type":24,"tag":382,"props":66321,"children":66322},{"class":384,"line":403},[66323],{"type":24,"tag":382,"props":66324,"children":66325},{},[66326],{"type":33,"value":66327},"    queue = deque([(initial_state, [])])\n",{"type":24,"tag":382,"props":66329,"children":66330},{"class":384,"line":412},[66331],{"type":24,"tag":382,"props":66332,"children":66333},{},[66334],{"type":33,"value":66335},"    visited = set([initial_state])\n",{"type":24,"tag":382,"props":66337,"children":66338},{"class":384,"line":421},[66339],{"type":24,"tag":382,"props":66340,"children":66341},{"emptyLinePlaceholder":19},[66342],{"type":33,"value":409},{"type":24,"tag":382,"props":66344,"children":66345},{"class":384,"line":430},[66346],{"type":24,"tag":382,"props":66347,"children":66348},{},[66349],{"type":33,"value":66350},"    while queue:\n",{"type":24,"tag":382,"props":66352,"children":66353},{"class":384,"line":438},[66354],{"type":24,"tag":382,"props":66355,"children":66356},{},[66357],{"type":33,"value":66358},"        state, path = queue.popleft()\n",{"type":24,"tag":382,"props":66360,"children":66361},{"class":384,"line":447},[66362],{"type":24,"tag":382,"props":66363,"children":66364},{},[66365],{"type":33,"value":66366},"        # ... BFS算法实现 ...\n",{"type":24,"tag":382,"props":66368,"children":66369},{"class":384,"line":456},[66370],{"type":24,"tag":382,"props":66371,"children":66372},{"emptyLinePlaceholder":19},[66373],{"type":33,"value":409},{"type":24,"tag":382,"props":66375,"children":66376},{"class":384,"line":1182},[66377],{"type":24,"tag":382,"props":66378,"children":66379},{},[66380],{"type":33,"value":66381},"    return None  # 没有找到解决方案\n",{"type":24,"tag":29,"props":66383,"children":66384},{},[66385],{"type":33,"value":66386},"这个函数实现了广度优先搜索(BFS)算法,用于寻找最优解决方案。它考虑了所有可能的移动情况,并返回最短路径。",{"type":24,"tag":138,"props":66388,"children":66390},{"id":66389},"自动解题功能",[66391],{"type":33,"value":66389},{"type":24,"tag":372,"props":66393,"children":66395},{"className":374,"code":66394,"language":376,"meta":8,"style":8},"if auto_solve and solution and current_step \u003C len(solution):\n    if current_time - last_move_time >= 1:  # 每秒执行一步\n        block_index, direction = solution[current_step]\n        block = 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