Reading YAML config file in python and using variables

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栀梦
栀梦 2020-12-11 03:14

Say I have a yaml config file such as:

test1:
    minVolt: -1
    maxVolt: 1
test2:
    curr: 5
    volt: 5

I can read the file into python

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  • 2020-12-11 03:50

    See Munch, Load YAML as nested objects instead of dictionary in Python

    import yaml
    from munch import munchify
    c = munchify(f)yaml.safe_load(…))
    print(c.test1.minVolt)
    # -1
    # Or
    f = open(…)
    c = Munch.fromYAML(f)
    
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  • 2020-12-11 04:01

    You can do this:

    class Test1Class:
        def __init__(self, raw):
            self.minVolt = raw['minVolt']
            self.maxVolt = raw['maxVolt']
    
    class Test2Class:
        def __init__(self, raw):
            self.curr = raw['curr']
            self.volt = raw['volt']
    
    class Config:
        def __init__(self, raw):
            self.test1 = Test1Class(raw['test1'])
            self.test2 = Test2Class(raw['test2'])
    
    config = Config(yaml.safe_load("""
    test1:
        minVolt: -1
        maxVolt: 1
    test2:
        curr: 5
        volt: 5
    """))
    

    And then access your values with:

    config.test1.minVolt
    

    When you rename the values in the YAML file, you only need to change the classes at one place.

    Note: PyYaml also allows you to directly deserialize YAML to custom classes. However, for that to work, you'd need to add tags to your YAML file so that PyYaml knows which classes to deserialize to. I expect that you do not want to make your YAML input more complex.

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