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清华大学新版网络学堂课程自动下载脚本\n\n## Features\n\n0. 跨平台支持：Windows/Mac/Linux 支持双击运行（[详情点击](https://github.com/Trinkle23897/learn2018-autodown/releases)）\n1. 下载所有课程公告\n2. 下载所有课件\n3. 下载所有作业文件及其批阅情况\n4. 下载所有课程讨论\n5. 下载课程信息\n6. 增量更新\n7. 可选下载课程\n8. 随时按 Ctrl+C 跳过某个文件的下载\n9. 下载助教课程\n10. 可使用 cookie 登录\n11. 多刷刷有利于后台成绩提高，比如以下第三条记录是我的：\n\n![](hint.jpg)\n\n## Dependency\n\npython\u003e=3.5, bs4, tqdm, requests\n\n```bash\npip3 install -r requirements.txt --user -U\n```\n\n## Usage\n\n### CLI 下载\n\n```bash\npython learn-stdio.py\n```\n\n### 原始脚本下载选项\n\n下载当前学期课程（默认）\n\n```bash\npython learn_async.py\n```\n\n下载所有学期课程\n\n```bash\npython learn_async.py --all\n```\n\n下载指定学期课程\n\n```bash\npython learn_async.py --semester 2018-2019-1 2018-2019-3\n```\n\n下载指定课程\n\n```bash\npython learn_async.py --course 计算机网络安全技术 计算机组成原理\n```\n\n跳过某几个课程下载\n\n```bash\npython learn_async.py --ignore 数据结构 \"实验室科研探究(1)\"\n```\n\n移除所有文件夹下完全相同的文件\n\n```bash\npython learn_async.py --clear --all\n```\n\n指定下载路径\n\n```bash\npython learn_async.py --dist your_download_path\n```\n\n启用多进程下载\n\n```bash\npython learn_async.py --multi\n```\n\n启用多进程下载，并指定进程数（如果不指定则默认使用所有 CPU 核心数）\n\n```bash\npython learn_async.py --multi --processes 4\n```\n\n以上参数均可组合使用，比如我想并发的更新大二的课程到`./download`目录，但是不想下载数据结构、实验室科研探究、中国近现代史纲要（课程文件太大了）：\n\n```bash\npython learn_async.py --semester 2017-2018-1 2017-2018-2 2017-2018-3 --ignore 数据结构 \"实验室科研探究(2)\" 中国近现代史纲要 --multi --dist ./download\n```\n\n**如果想跳过正在下载的某个文件，按 Ctrl+C 即可。**\n\n### 登录选项（learn-stdio 中禁用）\n\n懒得每次输入 info 账号密码？创建文件`.pass`，写入 info 账号和密码之后可以自动登录，或者是：\n\n```bash\npython learn_async.py --_pass your_info_file\n```\n\n其中文件格式为\n\n```bash\ninfo账号\ninfo密码\n```\n\n使用 Cookie 登录而不是输入 info 密码：\n\n```bash\npython learn_async.py --cookie your_cookie_filename\n```\n\n其中 cookie 文件格式可参考 `example_cookie.txt`。\n\n## Common Issues\n\n- 卡在 login：网络原因，看看 pulse-secure 关了没，重跑试试看\n- `500 : Internal Server Error`：请拉取最新版的脚本。网络学堂自 2020/2/22 开启强制 https。\n- `info_xxx.csv`在 Mac 下打开是乱码：别用 office，用 mac 自带的软件吧 :)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrinkle23897%2Flearn2018-autodown","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftrinkle23897%2Flearn2018-autodown","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrinkle23897%2Flearn2018-autodown/lists"}