问题描述
我有 YAML 文件 site.yaml
:
I have YAML file site.yaml
:
Kvm_BLOCK:
ip_address: 10.X.X.X
property: null
server_type: zone
加载然后转储:
ruamel.yaml.dump(site_yaml, new_file, Dumper=ruamel.yaml.RoundTripDumper)
变成了
Kvm_BLOCK:
ip_address: 10.X.X.X
property:
server_type: zone
如何在属性块中保留这个 null
值
how to retain this null
value in property block
推荐答案
YAML 1.2中的null
值(构造为Python的None
)可以表示为null
、Null
、NULL
和 ~
,指定为 这里.
The null
value in YAML 1.2 (constructed as Python's None
) can be represented as null
, Null
, NULL
and ~
, as specified here.
另外:
内容为空的节点被解释为它们是具有空值的普通标量.此类节点通常被解析为空"值.
Nodes with empty content are interpreted as if they were plain scalars with an empty value. Such nodes are commonly resolved to a "null" value.
因此,您的 null
值并没有消失,它只是在使用 ruamel.yaml
时由 null
的默认表示不同地表示代码>RoundTripDump代码>.如果再次加载该输出,您将再次获得 None
作为键 property
Therefore your null
value is not gone, it is just represented differently by the default representation for null
in ruamel.yaml
when using RoundTripDump
. If you load that output again, you once more get a None
as value for the key property
如果您不喜欢这样,您可以通过以下方式更改 all None
/null
值的输出:
If that is not to your liking you can change the output for all None
/null
values by doing:
import sys
import ruamel.yaml
yaml_str = """
Kvm_BLOCK:
ip_address: 10.X.X.X
property: null
server_type: zone
"""
def my_represent_none(self, data):
return self.represent_scalar(u'tag:yaml.org,2002:null', u'NULL')
yaml = ruamel.yaml.YAML()
yaml.representer.add_representer(type(None), my_represent_none)
data = yaml.load(yaml_str)
yaml.dump(data, sys.stdout)
将转储:
Kvm_BLOCK:
ip_address: 10.X.X.X
property: NULL
server_type: zone
您可以通过在 Python 中创建不同的类(NULL
、Null
、null
等)并使用不同的表示器来获得更细粒度的控制对于它们中的每一个(与 ruamel.yaml.scalarstring.py
中的 string
子类用于以不同方式表示字符串的方式非常相似(双引号,单引用,文字块样式标量).问题是你不能继承 NoneType
所以这不像字符串标量那样容易透明地完成.
You can get finer grained control by creating different classes in Python (NULL
, Null
, null
, etc. ) and have different representers for each of them (much in the same way that the string
subclasses in ruamel.yaml.scalarstring.py
are used to represent a string in different ways (double quoted, single quoted, literal block style scalar). The problem is that you cannot subclass NoneType
so this is not so easily done transparently as with the string scalars.
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