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<rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>Guhe Blog</title><link>https://blog.aevi.top</link><atom:link href="https://blog.aevi.top/rss.xml" rel="self" type="application/rss+xml"/><description>分享技术与生活趣事</description><generator>Halo v2.24.0</generator><language>zh-cn</language><image><url>https://cdn.jsdelivr.net/gh/tongzanyang/PicGo@main/tx.jpg</url><title>Guhe Blog</title><link>https://blog.aevi.top</link></image><lastBuildDate>Sat, 11 Jul 2026 20:03:26 GMT</lastBuildDate><item><title><![CDATA[制作随机图片 API：PHP 与 Python 双方案实战]]></title><link>https://blog.aevi.top/archives/php-python-random_api</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=%E5%88%B6%E4%BD%9C%E9%9A%8F%E6%9C%BA%E5%9B%BE%E7%89%87%20API%EF%BC%9APHP%20%E4%B8%8E%20Python%20%E5%8F%8C%E6%96%B9%E6%A1%88%E5%AE%9E%E6%88%98&amp;url=/archives/php-python-random_api" width="1" height="1" alt="" style="opacity:0;"> 本文介绍两种实现随机图片API的方法，适用于网站、博客或App的“每日一图”功能。方案一基于宝塔面板+PHP，步骤包括安装宝塔、配置PHP8.4环境、创建站点并上传`img.txt`图片链接文件，通过PHP脚本读取文件内容随机返回图片URL或JSON格式数据。方案二使用Python Flask框架，需安装conda环境及Flask依赖，编写处理跨域请求的代码，支持通过`?type=json`参数获取JSON格式结果，并可通过nohup后台运行及反向代理提升可用性。两种方案均需准备图片链接列表，且需注意防火墙端口开放与安全配置。]]></description><guid isPermaLink="false">/archives/php-python-random_api</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.imgos.cn%2Fvip%2F2026%2F03%2F06%2F69aa95ccaa06d.png&amp;size=m" type="image/jpeg" length="3893913"/><category>服务器</category><category>后端</category><pubDate>Fri, 6 Mar 2026 07:58:00 GMT</pubDate></item><item><title><![CDATA[Python工具：Conda 包管理器]]></title><link>https://blog.aevi.top/archives/python-conda</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=Python%E5%B7%A5%E5%85%B7%EF%BC%9AConda%20%E5%8C%85%E7%AE%A1%E7%90%86%E5%99%A8&amp;url=/archives/python-conda" width="1" height="1" alt="" style="opacity:0;">Conda 是一个跨平台、语言无关的包管理器和环境管理器，也是 Anaconda/Miniconda 的核心工具。它解决了 Python 开发中最头疼的两个问题：包依赖冲突和多版本环境隔离，不仅支持 Python，还能管理 R、C/C++ 等语言的包。]]></description><guid isPermaLink="false">/archives/python-conda</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.jsdelivr.net%2Fgh%2Ftongzanyang%2FPicGo%40main%2Farticle_bg%2Fwx_ty19.png&amp;size=m" type="image/jpeg" length="0"/><category>后端</category><pubDate>Thu, 5 Mar 2026 07:37:00 GMT</pubDate></item><item><title><![CDATA[Python自动化实战：wxauto + AI大模型，打造你的私人微信助理]]></title><link>https://blog.aevi.top/archives/python-wxauto-ai</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=Python%E8%87%AA%E5%8A%A8%E5%8C%96%E5%AE%9E%E6%88%98%EF%BC%9Awxauto%20%2B%20AI%E5%A4%A7%E6%A8%A1%E5%9E%8B%EF%BC%8C%E6%89%93%E9%80%A0%E4%BD%A0%E7%9A%84%E7%A7%81%E4%BA%BA%E5%BE%AE%E4%BF%A1%E5%8A%A9%E7%90%86&amp;url=/archives/python-wxauto-ai" width="1" height="1" alt="" style="opacity:0;">想给微信装个AI机器人，却被复杂的API配置和封号风险劝退？其实，自动化并没有那么难！本文介绍的 wxauto 库，通过模拟人工操作的方式，无需深厚的编程功底，也能轻松实现微信自动回复。无论你是Python新手还是自动化爱好者，跟着本文的步骤，5分钟就能让你的微信变身智能小秘书。]]></description><guid isPermaLink="false">/archives/python-wxauto-ai</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.imgos.cn%2Fvip%2F2025%2F07%2F24%2F6881a00254538.png&amp;size=m" type="image/jpeg" length="505017"/><category>人工智能</category><category>后端</category><pubDate>Mon, 9 Feb 2026 08:07:00 GMT</pubDate></item><item><title><![CDATA[WGCLOUD - 国产开源主机监控系统]]></title><link>https://blog.aevi.top/archives/wgcloud</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=WGCLOUD%20-%20%E5%9B%BD%E4%BA%A7%E5%BC%80%E6%BA%90%E4%B8%BB%E6%9C%BA%E7%9B%91%E6%8E%A7%E7%B3%BB%E7%BB%9F&amp;url=/archives/wgcloud" width="1" height="1" alt="" style="opacity:0;">本文推荐了国产新一代开源主机监控系统WGCLOUD，其功能涵盖服务器和主机的全面监控（CPU、内存、磁盘、网络、GPU等）、进程管理、数据库监控、日志分析、网络拓扑图生成等，支持多种数据库如MySQL、PostgreSQL等，并提供多渠道告警功能。文章详细介绍了部署WGCLOUD的步骤，包括JDK安装、数据库配置、server端与agent端的部署方法（Linux与Windows平台），以及如何通过Web界面访问系统进行监控管理。适合运维和DevOps团队使用，操作简便，功能强大。]]></description><guid isPermaLink="false">/archives/wgcloud</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.picui.cn%2Fvip%2F2025%2F07%2F04%2F68677f24a3f4f.jpg&amp;size=m" type="image/jpeg" length="0"/><category>服务器</category><pubDate>Sun, 30 Nov 2025 05:40:00 GMT</pubDate></item><item><title><![CDATA[Linux系统搭建MySQL & 连接工具]]></title><link>https://blog.aevi.top/archives/linuxxi-tong-da-jian-mysql-lian-jie-gong-ju</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=Linux%E7%B3%BB%E7%BB%9F%E6%90%AD%E5%BB%BAMySQL%20%26%20%E8%BF%9E%E6%8E%A5%E5%B7%A5%E5%85%B7&amp;url=/archives/linuxxi-tong-da-jian-mysql-lian-jie-gong-ju" width="1" height="1" alt="" style="opacity:0;">]]></description><guid isPermaLink="false">/archives/linuxxi-tong-da-jian-mysql-lian-jie-gong-ju</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.picui.cn%2Fvip%2F2025%2F07%2F04%2F68677f24a88b0.jpg&amp;size=m" type="image/jpeg" length="0"/><category>服务器</category><pubDate>Wed, 26 Nov 2025 02:01:00 GMT</pubDate></item><item><title><![CDATA[Hexo 静态博客框架,小白快速搭建个人博客]]></title><link>https://blog.aevi.top/archives/hexo</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=Hexo%20%E9%9D%99%E6%80%81%E5%8D%9A%E5%AE%A2%E6%A1%86%E6%9E%B6%2C%E5%B0%8F%E7%99%BD%E5%BF%AB%E9%80%9F%E6%90%AD%E5%BB%BA%E4%B8%AA%E4%BA%BA%E5%8D%9A%E5%AE%A2&amp;url=/archives/hexo" width="1" height="1" alt="" style="opacity:0;">本文介绍了如何安装和配置Hexo静态博客框架。Hexo是一款基于Node.js的快速、简洁且高效的博客工具，支持Markdown语法。安装Node.js有两种方法：一种是手动下载并解压安装包，另一种是通过NodeSource的PPA进行安装。随后，通过npm安装Hexo并设置环境变量，验证安装后即可创建博客目录并启动项目。文中还提供了新建文章和本地预览的命令，并建议使用Markdown语法进行内容编写。最后，指出可通过官方文档获取更多信息。]]></description><guid isPermaLink="false">/archives/hexo</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.picui.cn%2Fvip%2F2025%2F07%2F04%2F68677f24d9d70.jpg&amp;size=m" type="image/jpeg" length="0"/><category>服务器</category><pubDate>Thu, 24 Jul 2025 02:09:00 GMT</pubDate></item><item><title><![CDATA[鼠标点击产生烟花动画]]></title><link>https://blog.aevi.top/archives/article-hua-yan</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=%E9%BC%A0%E6%A0%87%E7%82%B9%E5%87%BB%E4%BA%A7%E7%94%9F%E7%83%9F%E8%8A%B1%E5%8A%A8%E7%94%BB&amp;url=/archives/article-hua-yan" width="1" height="1" alt="" style="opacity:0;">本文介绍如何在网站上实现鼠标点击产生的烟花颗粒动画效果。首先在页面中插入 `&lt;canvas&gt;` 元素用于绘制动画，然后引用 Anime.js 动画库插件，最后添加 JavaScript 脚本实现粒子效果。通过监听点击事件，生成多个颜色各异的粒子，并使用 Anime.js 控制它们的运动和消散过程，使动画流畅自然。作者还提到利用 AI 生成了新的烟花效果，并提供了相同的配置步骤，适合用于增强网站的视觉体验。]]></description><guid isPermaLink="false">/archives/article-hua-yan</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.picui.cn%2Fvip%2F2025%2F07%2F04%2F68677e8c5b389.png&amp;size=m" type="image/jpeg" length="0"/><category>前端</category><pubDate>Wed, 9 Jul 2025 03:32:00 GMT</pubDate></item><item><title><![CDATA[使用Vercel部署Twikoo评论系统]]></title><link>https://blog.aevi.top/archives/archives-Twikoo</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=%E4%BD%BF%E7%94%A8Vercel%E9%83%A8%E7%BD%B2Twikoo%E8%AF%84%E8%AE%BA%E7%B3%BB%E7%BB%9F&amp;url=/archives/archives-Twikoo" width="1" height="1" alt="" style="opacity:0;">本文介绍了如何在Vercel上部署Twikoo评论系统，旨在改善个人博客网站的评论界面。本文详细说明了从前期准备开始的步骤，包括获取域名、配置MongoDB和Vercel，到应用网站主题和优化。同时，本文还提供了参考文档链接。]]></description><guid isPermaLink="false">/archives/archives-Twikoo</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.jsdelivr.net%2Fgh%2Ftongzanyang%2FPicGo%40main%2Farticle_bg%2Fwx_ty29.png&amp;size=m" type="image/jpeg" length="0"/><category>服务器</category><pubDate>Tue, 8 Jul 2025 14:19:28 GMT</pubDate></item><item><title><![CDATA[60秒读懂世界]]></title><link>https://blog.aevi.top/archives/60miao-kan-shi-jie</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=60%E7%A7%92%E8%AF%BB%E6%87%82%E4%B8%96%E7%95%8C&amp;url=/archives/60miao-kan-shi-jie" width="1" height="1" alt="" style="opacity:0;">60秒读懂世界！]]></description><guid isPermaLink="false">/archives/60miao-kan-shi-jie</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.jsdelivr.net%2Fgh%2Ftongzanyang%2FPicGo%40main%2Farticle_bg%2Fwx_ty31.png&amp;size=m" type="image/jpeg" length="0"/><category>生活</category><pubDate>Mon, 7 Jul 2025 06:50:00 GMT</pubDate></item><item><title><![CDATA[Dolphin文档图像解析实战]]></title><link>https://blog.aevi.top/archives/Dolphin_model</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=Dolphin%E6%96%87%E6%A1%A3%E5%9B%BE%E5%83%8F%E8%A7%A3%E6%9E%90%E5%AE%9E%E6%88%98&amp;url=/archives/Dolphin_model" width="1" height="1" alt="" style="opacity:0;">字节跳动近期开源了文档解析模型Dolphin，该模型仅322M参数，却在性能上超越了GPT-4.1、Claude3.5等大型模型。Dolphin支持页面级和元素级文档解析，可处理图片中的表格、公式和文本段落。用户可通过GitHub下载项目源码，并安装指定版本的依赖环境，再从Hugging Face或魔搭平台获取模型权重进行部署与测试。模型提供在线解析服务，方便用户快速体验其文档解析能力。]]></description><guid isPermaLink="false">/archives/Dolphin_model</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.picui.cn%2Fvip%2F2025%2F07%2F24%2F68819d283e80f.png&amp;size=m" type="image/jpeg" length="0"/><category>人工智能</category><pubDate>Wed, 18 Jun 2025 06:55:00 GMT</pubDate></item><item><title><![CDATA[MCP服务实战—操作mysql数据库]]></title><link>https://blog.aevi.top/archives/mcpfu-wu-shi-zhan--lian-jie-mysqlshu-ju-ku</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=MCP%E6%9C%8D%E5%8A%A1%E5%AE%9E%E6%88%98%E2%80%94%E6%93%8D%E4%BD%9Cmysql%E6%95%B0%E6%8D%AE%E5%BA%93&amp;url=/archives/mcpfu-wu-shi-zhan--lian-jie-mysqlshu-ju-ku" width="1" height="1" alt="" style="opacity:0;">MCP是Anthropic于2024年11月推出的开放协议，用于标准化应用程序向大型语言模型（LLM）提供上下文的方式，使其能够连接不同数据源和工具。其架构为客户端-服务器模型，包括MCP Hosts、Clients、Servers及本地和远程数据源。主要功能包括工具调用、资源访问和上下文管理。实践上需准备Python和Conda环境、Ollama模型、MySQL数据库，并配置MCP服务端和客户端。测试中可通过Cherry Studio调用MCP提供的SQL执行工具，实现数据表的增删改查操作。]]></description><guid isPermaLink="false">/archives/mcpfu-wu-shi-zhan--lian-jie-mysqlshu-ju-ku</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.picui.cn%2Fvip%2F2025%2F07%2F24%2F68819e45e0fbe.png&amp;size=m" type="image/jpeg" length="0"/><category>人工智能</category><pubDate>Fri, 30 May 2025 15:15:01 GMT</pubDate></item><item><title><![CDATA[Alist：搭建属于你的自有网盘]]></title><link>https://blog.aevi.top/archives/archives-alist</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=Alist%EF%BC%9A%E6%90%AD%E5%BB%BA%E5%B1%9E%E4%BA%8E%E4%BD%A0%E7%9A%84%E8%87%AA%E6%9C%89%E7%BD%91%E7%9B%98&amp;url=/archives/archives-alist" width="1" height="1" alt="" style="opacity:0;">这篇文章介绍了Alist这款开源的网盘管理工具，它能将多个云存储服务整合到一起，便于用户管理和访问。Alist具有开源免费、轻量高效、易于部署和高度可定制等特点，可保护用户隐私。文章以Docker compose方式安装Alist为例，详细介绍了安装步骤，包括部署docker环境、编写docker-compose.yaml文件、构建容器等。同时，还提到了如何挂载网盘、配置存储和获取刷新令牌等操作。文章旨在帮助读者更好地了解和使用Alist网盘。]]></description><guid isPermaLink="false">/archives/archives-alist</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.jsdelivr.net%2Fgh%2Ftongzanyang%2FPicGo%40main%2Farticle_bg%2Ftuya3.png&amp;size=m" type="image/jpeg" length="0"/><category>服务器</category><pubDate>Thu, 13 Mar 2025 06:02:00 GMT</pubDate></item><item><title><![CDATA[本地部署Deepseek R1模型，搭建个人知识库]]></title><link>https://blog.aevi.top/archives/wei-ming-ming-wen-zhang</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=%E6%9C%AC%E5%9C%B0%E9%83%A8%E7%BD%B2Deepseek%20R1%E6%A8%A1%E5%9E%8B%EF%BC%8C%E6%90%AD%E5%BB%BA%E4%B8%AA%E4%BA%BA%E7%9F%A5%E8%AF%86%E5%BA%93&amp;url=/archives/wei-ming-ming-wen-zhang" width="1" height="1" alt="" style="opacity:0;">本文介绍了如何本地部署DeepSeek R1模型及使用Cherry Studio构建个人知识库。DeepSeek R1是DeepSeek公司在2025年1月发布的一代推理模型，基于DeepSeek-V3-Base，采用MoE架构，总参数量高达671B，性能优于OpenAI的o1模型。用户可通过Ollama下载不同版本的模型，并安装Cherry Studio作为多功能AI助手平台。随后，在Cherry Studio中配置模型并添加知识库，支持多种文件类型。最后，提供了一些参考链接以便用户进一步了解模型和工具的使用。]]></description><guid isPermaLink="false">/archives/wei-ming-ming-wen-zhang</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.jsdelivr.net%2Fgh%2Ftongzanyang%2FPicGo%40main%2Farticle_bg%2Fwx_ty11.png&amp;size=m" type="image/jpeg" length="0"/><category>人工智能</category><pubDate>Thu, 13 Mar 2025 03:39:00 GMT</pubDate></item><item><title><![CDATA[构建属于自己的Lobe Chat AI聊天工具]]></title><link>https://blog.aevi.top/archives/gou-jian-shu-yu-zi-ji-de-lobe-chat-ailiao-tian-gong-ju</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=%E6%9E%84%E5%BB%BA%E5%B1%9E%E4%BA%8E%E8%87%AA%E5%B7%B1%E7%9A%84Lobe%20Chat%20AI%E8%81%8A%E5%A4%A9%E5%B7%A5%E5%85%B7&amp;url=/archives/gou-jian-shu-yu-zi-ji-de-lobe-chat-ailiao-tian-gong-ju" width="1" height="1" alt="" style="opacity:0;">这篇文章介绍了如何构建和使用Lobe Chat AI聊天工具的过程。首先，文章解释了Lobe Chat的作用和功能，它是一个基于自然语言处理的AI聊天工具，能够理解和生成自然语言文本。接着，文章指导读者如何准备工作，包括安装docker引擎和docker compose，以及获取openai API key。然后，文章详细说明了如何部署Lobe Chat，可以通过使用docker一键启动或docker compose部署。最后，文章提供了配置Lobe Chat的步骤，包括为Lobe Chat配置语言模型和获取模型API的方法。希望对读者有所帮助。]]></description><guid isPermaLink="false">/archives/gou-jian-shu-yu-zi-ji-de-lobe-chat-ailiao-tian-gong-ju</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.jsdelivr.net%2Fgh%2Ftongzanyang%2FPicGo%40main%2Farticle_bg%2Fwx_ty7.png&amp;size=m" type="image/jpeg" length="0"/><category>人工智能</category><pubDate>Thu, 13 Mar 2025 03:12:00 GMT</pubDate></item><item><title><![CDATA[Ubuntu上安装Docker和Docker compose环境]]></title><link>https://blog.aevi.top/archives/ubuntushang-an-zhuang-dockerhe-docker-composehuan-jing</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=Ubuntu%E4%B8%8A%E5%AE%89%E8%A3%85Docker%E5%92%8CDocker%20compose%E7%8E%AF%E5%A2%83&amp;url=/archives/ubuntushang-an-zhuang-dockerhe-docker-composehuan-jing" width="1" height="1" alt="" style="opacity:0;">本文介绍了在Ubuntu系统上安装Docker及其配套工具Docker Compose的方法，详细讲解了Docker的概念、安装步骤以及如何配置镜像加速地址以提高下载镜像的速度。]]></description><guid isPermaLink="false">/archives/ubuntushang-an-zhuang-dockerhe-docker-composehuan-jing</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.jsdelivr.net%2Fgh%2Ftongzanyang%2FPicGo%40main%2Farticle_bg%2Fwx_ty8.png&amp;size=m" type="image/jpeg" length="0"/><category>服务器</category><pubDate>Thu, 13 Mar 2025 02:20:00 GMT</pubDate></item><item><title><![CDATA[PicGo + GitHub部署个人图床]]></title><link>https://blog.aevi.top/archives/picgogong-ju-bu-shu-ge-ren-tu-chuang</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=PicGo%20%2B%20GitHub%E9%83%A8%E7%BD%B2%E4%B8%AA%E4%BA%BA%E5%9B%BE%E5%BA%8A&amp;url=/archives/picgogong-ju-bu-shu-ge-ren-tu-chuang" width="1" height="1" alt="" style="opacity:0;">这篇文章介绍了如何使用PicGo和GitHub部署个人图床的方法。首先，需要在GitHub创建一个新的存储库用于存储图片，并勾选添加README文件。然后，在GitHub中生成个人访问令牌。接着，下载并安装PicGo工具，配置图床信息，包括仓库、分支和个人访问令牌。最后，使用jsDelivr CDN来加速图片加载。文章还提供了PicGo官方文档的链接，供读者参考。]]></description><guid isPermaLink="false">/archives/picgogong-ju-bu-shu-ge-ren-tu-chuang</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.jsdelivr.net%2Fgh%2Ftongzanyang%2FPicGo%40main%2Farticle_bg%2Fwx_ty3.png&amp;size=m" type="image/jpeg" length="0"/><category>服务器</category><pubDate>Thu, 13 Mar 2025 02:05:08 GMT</pubDate></item><item><title><![CDATA[Halo + Docker compose快速构建个人网站]]></title><link>https://blog.aevi.top/archives/halo-docker-composekuai-su-gou-jian-ge-ren-wang-zhan</link><description><![CDATA[<img src="https://blog.aevi.top/plugins/feed/assets/telemetry.gif?title=Halo%20%2B%20Docker%20compose%E5%BF%AB%E9%80%9F%E6%9E%84%E5%BB%BA%E4%B8%AA%E4%BA%BA%E7%BD%91%E7%AB%99&amp;url=/archives/halo-docker-composekuai-su-gou-jian-ge-ren-wang-zhan" width="1" height="1" alt="" style="opacity:0;">本文介绍了如何使用Halo和Docker Compose快速搭建个人网站，包括Halo系统的功能、Docker Compose的作用、环境准备、编写docker-compose.yml文件、启动和配置Halo服务及其他步骤。]]></description><guid isPermaLink="false">/archives/halo-docker-composekuai-su-gou-jian-ge-ren-wang-zhan</guid><dc:creator>故河</dc:creator><enclosure url="https://blog.aevi.top/apis/api.storage.halo.run/v1alpha1/thumbnails/-/via-uri?uri=https%3A%2F%2Fcdn.jsdelivr.net%2Fgh%2Ftongzanyang%2FPicGo%40main%2Farticle_bg%2Fwx_ty5.jpg&amp;size=m" type="image/jpeg" length="0"/><category>服务器</category><pubDate>Thu, 20 Feb 2025 01:46:12 GMT</pubDate></item></channel></rss>