Python client for Baidu Yun 百度云/百度网盘的Python客户端
Copyright 2013 Hou Tianze (GitHub: houtianze, Twitter: @ibic, G+: +TianzeHou)
Add in wiki, for easier sharing / communicating.
加入了wiki，方便分享/交流。
If you encounter UnicodeDecodeError while syncing up/down a directory, it's probably due the encoding of the directory / file names not being UTF-8 (especially if these files are copied from Windows to Unix / Linux). You can fix this using the convmv utility (to be issued in the directory to sync):
convmv -f GBK -t UTF-8 -r * (to see what renamings are going to happen)
convmv -f GBK -t UTF-8 --notest -r * (performing the actual renaming)
Thanks to @zm1990s for providing this fix. (The orginal post from him is at #62, his blog post detailing the convmv usage is here: http://blog.sina.com.cn/s/blog_4b3646350100kugp.html All are in Chinese though)
如果同步/比较是出现UnicodeDecodeError错误，很可能是因为目录/文件名编码不是UTF-8（特别是在文件是从Windows拷贝到Unix / Linux的情况下），解决方案是用convmv工具来修正编码，在要同步/比较的目录下输入如下命令:
convmv -f GBK -t UTF-8 -r * （查看将会将文件改名）
convmv -f GBK -t UTF-8 --notest -r * （实际的改名操作）
感谢 @zm1990s 提供解决方案. 他原帖在这里：#62，博客具体讲述convmv用法的文章在这里： http://blog.sina.com.cn/s/blog_4b3646350100kugp.html
About a bug of Baidu that's affecting syncup。
Basically: After a big file uploaded using slices and then combined, Baidu will return the wrong MD5. This will affect comparision (as MD5 is used to assert if the files local and remote are equal), thus will force syncup / syncdown transfer a second time.
Workaround: syncup twice (For the second time, the big files are "rapidly uploaded", which is very fast. Small files that are the same will be skipped. After this, Baidu will return the correct MD5)
关于百度的一个bug造成的syncup的一点问题。
简单说就是：大文件分片上传合并后，百度会返回错误的MD5值。这会导致文件比较失败（本地和远程同样的大文件被认为是不同的文件，因为拿到MD5不一样），进而导致syncup / syncdown重复上传下载。
曲线解决方法：syncup两次。（第二次大文件算是秒传，很快的；小文件不会再传。然后百度云端返回的MD5值都是正确的了）
Add in a simple GUI
加入了简陋的图形界面
Now should be able to authorize behind the GFW.
墙内使用应该没有问题了。卡在授权的童鞋可以下载最新版试试
中文说明在下半段
Unicode / Chinese file names are properly supported. 终于全面支持Unicode / 中文了。
Important: You need to set you system locale encoding to UTF-8 for this to work (You can refere here: http://perlgeek.de/en/article/set-up-a-clean-utf8-environment)
Important: You need to install the Python Requests library. In Debian / Ubuntu / Raspbian, you just run the following command:
sudo pip install requests
重要：想要支持中文，你要把系统的区域编码设置为UTF-8。（参见：http://perlgeek.de/en/article/set-up-a-clean-utf8-environment)
重要：你需要安装Python Requests 库. 在 Debian / Ubuntu / Raspbian 环境下，只需执行如下命令一次：
sudo pip install requests
[English]
This is a Python client for Baidu Yun (a.k.a PCS - Personal Cloud Storage), an online storage website offering 2 TB (fast) free personal storage. This main purpose is to be able to utilize this stoarge service under Linux environment (console), e.g. Raspberry Pi.
Features: Full Unicode support; Retry on failures; Recursive down/up-load; Directory comparison; Hash caching.
This program uses the REST APIs to access the files at Baidu PCS. You can list, download, upload, compare, sync-up/down, etc.
Quick start:
To get help and a list of available commands:
bypy.py
To get more details about certain command:
bypy.py help <command>
List files at (App's) root directory at Baidu PCS:
bypy.py list
To sync up to the cloud (from the current directory):
bypy.py syncup
or
bypy.py upload
To sync down from the cloud (to the current directory):
bypy.py syncdown
or
bypy.py downdir /
To compare the current directory to (App's) root directory at Baidu PCS (which I think is very useful):
bypy.py compare
And there are more commands ...
Hash caching is also implemented.
Add in "-v" parameter, the program will print more details about the progress. Add in "-d" parameter, the program will print some debug messages.
[中文]
这是一个百度云/百度网盘的Python客户端。主要的目的就是在Linux环境下（命令行）使用百度云盘的2TB的巨大空间。比如，你可以用在Raspberry Pi树莓派上。它提供文件列表、下载、上传、比较、向上同步、向下同步，等等。
功能: 全面支持Unicode / 中文；失败重试；递归上/下载；目录比较; 哈希缓存.
界面是英文的，主要是因为这个是为了Raspberry Pi树莓派开发的。 第一次运行的时候要通过百度的网页进行授权（一次就好）
重要：想要支持中文，你要把系统的区域编码设置为UTF-8。
重要：你需要安装Python Requests 库. 在 Debian / Ubuntu / Raspbian 环境下，只需执行如下命令一次：
sudo pip install requests
上手：
显示使用帮助和所有命令（英文）:
bypy.py
更详细的了解某一个命令：
bypy.py help <command>
显示在云盘（程序的）根目录下文件列表：
bypy.py list
把当前目录同步到云盘：
bypy.py syncup
or
bypy.py upload
把云盘内容同步到本地来：
bypy.py syncdown
or
bypy.py downdir /
比较本地当前目录和云盘（程序的）根目录（个人认为非常有用）：
bypy.py compare
还有一些其他命令 ...
哈希值的计算加入了缓存处理，使得第一次以后的计算速度有所提高。
运行时添加 -v 参数，程序会显示进度详情；添加 -d ，程序会显示一些调试信息。
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