[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-8950":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":9,"language":10,"languages":9,"totalLinesOfCode":9,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":14,"stars7d":15,"stars30d":15,"stars90d":14,"forks30d":14,"starsTrendScore":14,"compositeScore":16,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":17,"fork":17,"defaultBranch":18,"hasWiki":19,"hasPages":19,"topics":20,"createdAt":9,"pushedAt":9,"updatedAt":21,"readmeContent":22,"aiSummary":23,"trendingCount":14,"starSnapshotCount":14,"syncStatus":24,"lastSyncTime":25,"discoverSource":26},8950,"wechat-report","myth984\u002Fwechat-report","myth984","微信聊天记录年度报告",null,"Vue",1321,138,4,0,1,52.03,false,"main",true,[],"2026-06-12 04:00:42","# 看看样子\n\n  没有对各个屏幕做适配 && 请用手机看(可以用浏览器-开发者工具 模拟)\n\n  https:\u002F\u002Fmyth.icu\u002Fwechat-report\u002F\n\n# 教程\n\n## 导出微信聊天记录\n参考如下教程\nhttps:\u002F\u002Fgithub.com\u002FBlueMatthew\u002FWechatExporter\n\n将聊天记录生成txt\n## 入库\n\n需要自己有一个MySQL库\n\n修改txt文件位置及两个人的昵称 执行入库代码 `python 入库.py`\n\n默认具备一定vue\u002Fpython\u002Fmysql知识\n\n## 分词\n\n推荐使用其他分词工具 如阿里云腾讯云 可以白嫖的分词工具\n\n如果不行可以用 `\u002Fbin\u002Fanalysis.py` 这个分词 不过需要二次人工过滤\n\n## 生成词云\n\n将分词结果传入这个网站\n\nhttps:\u002F\u002Fwordart.com\u002Fcreate\n\n上传宋体\n\n打开控制台执行\n`canvas = document.querySelector(\"#root > div > div.app-body > div.app-body-pane.app-body-right-pane > div.app-canvas-wrapper > a > canvas\");canvas.toDataURL(\"image\u002Fpng\")`\n\n将生成的base64转为图片\nhttp:\u002F\u002Ftool.chinaz.com\u002Ftools\u002Fimgtobase\n\n放入`\u002Fsrc\u002Fasset\u002Fimages\u002Fcy.png`\n\n## 写入结果\n\n将结果手动写入`\u002Fsrc\u002Fdata.json`\n\n## 根据男\u002F女朋友的手机尺寸进行微调\n\n因为我技术不行不会适配各种移动端 如果有样式问题请根据女朋友的手机来微调css\n## 生成html\n\n`npm run build`\n\n## 如果上面说的你都不会\n\n你可以用你的法子, 总之把`\u002Fsrc\u002Fdata.json` 填入就行\n\n## 视频教程\n\n感谢热心网友[shaneee](https:\u002F\u002Fwww.v2ex.com\u002Fmember\u002Fshaneee) 的视频教程\n\nhttps:\u002F\u002Fwww.bilibili.com\u002Fvideo\u002FBV1QR4y1u7U8\u002F\n","该项目用于生成微信聊天记录的年度报告。它利用Vue框架构建前端界面，结合Python脚本处理数据，并使用MySQL存储聊天内容。用户需先通过特定工具导出微信聊天记录为文本文件，再经过分词处理和词云生成等步骤，最终将结果展示在一个自定义的HTML页面上。适合想要以可视化方式回顾与某人微信交流历程的个人或情侣使用。整个过程要求用户具备一定的编程基础，包括对Vue、Python及MySQL的基本了解。",2,"2026-06-11 03:20:32","top_language"]