[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-105350":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":12,"contributorsCount":14,"subscribersCount":14,"size":14,"stars1d":15,"stars7d":15,"stars30d":15,"stars90d":14,"forks30d":14,"starsTrendScore":16,"compositeScore":17,"rankGlobal":9,"rankLanguage":9,"license":9,"archived":18,"fork":18,"defaultBranch":19,"hasWiki":20,"hasPages":18,"topics":21,"createdAt":9,"pushedAt":9,"updatedAt":22,"readmeContent":23,"aiSummary":9,"trendingCount":14,"starSnapshotCount":14,"syncStatus":24,"lastSyncTime":25,"discoverSource":26},105350,"bailong-desktop-pet","jingh12312-rgb\u002Fbailong-desktop-pet","jingh12312-rgb","GPT白龙娘动态桌宠：透明动画、点击互动、自由拖动与可选Codex额度查询。Windows解压即用。",null,"Python",87,4,71,0,12,36,62.01,false,"main",true,[],"2026-11-01 00:14:50","# GPT白龙娘动态桌宠 v0.5.1\n\nWindows轻量版：自移动、吸边探头、大小调节、Codex公开任务进展提醒，35段透明WebM动画。\n\n普通使用者请到[发布页](https:\u002F\u002Fgithub.com\u002Fjingh12312-rgb\u002Fbailong-desktop-pet\u002Freleases\u002Ftag\u002Fv0.5.1)下载 `bailong-desktop-pet-v0.5.1-windows-x64-webm.zip`，全部解压后双击 `BailongPet.exe`。\n\n## 开发者运行\n\n此仓库提供v0.5.1轻量版源码；动画素材和Windows解码器随上述完整发布包提供，没有纳入Git历史。\n\n1. 安装64位Python（当前构建使用Python 3.13）。\n2. 在源码目录执行 `python -m pip install -r requirements.txt`。\n3. 从完整Windows发布包复制整个 `outputs` 和 `tools` 文件夹到源码根目录，与 `app` 并列。保留全部35段WebM及素材清单。\n4. 执行 `python app\u002Fpet.py`；自检执行 `python app\u002Fpet.py --self-test`。\n\n程序通过FFmpeg的libvpx-vp9解码透明通道，保留动作预加载；请不要用丢弃透明通道的默认VP9解码方式替换。\n\n## 构建Windows包\n\n在Windows上安装PyInstaller 6.22.3至 `.build-tools`：`python -m pip install --target .build-tools pyinstaller==6.22.3`。\n\n运行 `python work\u002Fbuild_windows.py` 生成EXE。重新整理完整ZIP使用 `python work\u002Fbuild_release.py`，需要先将FFmpeg放在 `work\u002Fvideo-deps\u002Fimageio_ffmpeg\u002Fbinaries\u002Fffmpeg-win-x86_64-v7.1.exe`（可从完整包的tools\u002Fffmpeg.exe复制），并保留outputs素材。脚本会生成带运行库、解码器及素材的发布包。\n\n## 说明\n\n没有Codex也能使用普通桌宠功能。额度、对话与任务同步需要使用者自己的Codex安装和登录。仓库不包含账号、密钥、个人聊天记录。\n\nmacOS适配源码尚未完成Mac实机验收，不提供已验证Mac安装包。当前Mac构建脚本仍需补齐FFmpeg打包，请勿将其当作可直接发布的构建流程。\n\n源码尚未指定开源许可证；公开源码不代表授予任意使用或再分发许可。美术素材说明见ASSETS.md，运行库遵循各自许可证。本项目非OpenAI官方产品。\n",2,"2026-10-31 04:26:31","CREATED_QUERY"]