将 YAML 加载为嵌套对象而不是 Python 中的字典 [英] Load YAML as nested objects instead of dictionary in Python

问题描述

我在 YAML 中有一个配置文件，当前使用 yaml.safe_load 作为字典加载.为了方便编写我的代码，我更愿意将它作为一组嵌套对象加载.引用字典的更深层次很麻烦，使代码更难阅读.

示例:

导入yamlmydict = yaml.safe_load("""一:1乙:- q: "foo"回复: 99秒:98- x:酒吧"y: 97z: 96C:d:7电子:8f: [9,10,11]""")

目前，我访问诸如

之类的项目

mydict["b"][0]["r"]>>>99

我希望能够访问相同的信息，例如

mydict.b[0].r>>>99

有没有办法像这样将 YAML 加载为嵌套对象?或者我是否必须滚动自己的类并递归地将这些字典翻转为嵌套对象?我猜namedtuple可以让这更容易一些，但我更喜欢整个事情的现成解决方案.

解决方案

找到了一个方便的库来满足我的需求:https://github.com/Infinidat/munch

导入yaml从蒙克进口蒙克mydict = yaml.safe_load("""一:1乙:- q: "foo"回复: 99秒:98- x:酒吧"y: 97z: 96C:d:7电子:8f: [9,10,11]""")mymunch = 蒙克(mydict)

(我必须编写一个简单的方法来递归地将所有 subdicts 转换为 munches，但现在我可以使用例如

<预><代码>>>>mymunch.b.q富"

I have a configuration file in YAML that is currently loaded as a dictionary using yaml.safe_load. For convenience in writing my code, I'd prefer to load it as a set of nested objects. It's cumbersome to refer to deeper levels of the dictionary and makes the code harder to read.

Example:

import yaml
mydict = yaml.safe_load("""
a: 1
b:
- q: "foo"
  r: 99
  s: 98
- x: "bar"
  y: 97
  z: 96
c:
  d: 7
  e: 8
  f: [9,10,11]
""")

Currently, I access items like

mydict["b"][0]["r"]
>>> 99

What I'd like to be able to do is access the same information like

mydict.b[0].r
>>> 99

Is there a way to load YAML as nested objects like this? Or will I have to roll my own class and recursively flip these dictionaries into nested objects? I'm guessing namedtuple could make this a bit easier, but I'd prefer an off-the-shelf solution for the whole thing.

解决方案

Found a handy library to do exactly what I need: https://github.com/Infinidat/munch

import yaml
from munch import Munch
mydict = yaml.safe_load("""
a: 1
b:
- q: "foo"
  r: 99
  s: 98
- x: "bar"
  y: 97
  z: 96
c:
  d: 7
  e: 8
  f: [9,10,11]
""")
mymunch = Munch(mydict)

(I had to write a simple method to recursively convert all subdicts into munches but now I can navigate my data with e.g.

>>> mymunch.b.q
"foo"

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