ConfigObj/ConfigParser 与为 Python 设置文件使用 YAML

2022-01-14 00:00:00 python configparser settings yaml configuration-files

问题描述

为 Python 程序创建设置文件，内置模块(ConfigParser)或独立项目(ConfigObj)，或使用 YAML 数据序列化格式，哪个更好?我听说 ConfigObj 比 ConfigParser 更容易使用，尽管它不是内置库.我还读到 PyYAML 很容易使用，尽管 YAML 需要一些时间来使用.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?

解决方案

使用 ConfigObj 至少非常简单，general 中的 ini 文件比 YAML 简单得多(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 验证来执行此操作的方法.

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，您可以将其写回，同时保留顺序和注释.

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，包括类型验证的示例，请参阅这些文章:

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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