ConfigObj/ConfigParser与将YAML用于Python设置文件 [英] ConfigObj/ConfigParser vs. using YAML for Python settings file

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本文介绍了ConfigObj/ConfigParser与将YAML用于Python设置文件的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

哪种方法更适合为Python程序,内置模块(ConfigParser)或独立项目(ConfigObj)或使用YAML数据序列化格式创建设置文件?我听说ConfigObj比ConfigParser更易于使用,即使它不是内置库也是如此.我还读到PyYAML易于使用,尽管YAML需要花费一些时间.除了易于实施之外,哪个是创建设置/配置文件的最佳选择?

Which is better for creating a settings file for Python programs, the built-in module (ConfigParser) or the independent project (ConfigObj), or using the YAML data serialization format? I have heard that ConfigObj is easier to use than ConfigParser, even though it is not a built-in library. I have also read that PyYAML is easy to use, though YAML takes a bit of time to use. Ease of implementation aside, which is the best option for creating a settings/configuration file?

推荐答案

使用ConfigObj至少非常简单,并且 general 中的ini文件比YAML更简单(并且使用更广泛).对于更复杂的情况,包括验证,默认值和类型,ConfigObj提供了一种通过configspec验证执行此操作的方法.

Using ConfigObj is at least very straightforward and ini files in general are much simpler (and more widely used) than YAML. For more complex cases, including validation, default values and types, ConfigObj provides a way to do this through configspec validation.

使用ConfigObj读取ini文件的简单代码:

Simple code to read an ini file with ConfigObj:

from configobj import ConfigObj

conf = ConfigObj('filename.ini')
section = conf['section']
value = section['value']

它会自动为您处理列表值并允许多行值.如果您修改配置文件,则可以在保留顺序和注释的同时将其写回.

It automatically handles list values for you and allows multiline values. If you modify the config file you can write it back out whilst preserving order and comments.

有关更多信息,请参见这些文章,包括类型验证的示例:

See these articles for more info, including examples of the type validation:

  • http://www.voidspace.org.uk/python/articles/configobj.shtml
  • http://www.blog.pythonlibrary.org/2010/01/01/a-brief-configobj-tutorial/
  • http://showmedo.com/videotutorials/video?name=10620000&fromSeriesID=1062

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