在 Python 中控制 Yaml 序列化顺序 [英] Controlling Yaml Serialization Order in Python
问题描述
在序列化 Python 字典时,如何控制 PyYaml 输出键/值对的顺序?
我在 Python 脚本中使用 Yaml 作为简单的序列化格式.我的 Yaml 序列化对象代表一种文档",因此为了最大程度地方便用户,我希望我的对象的名称"字段首先出现在文件中.当然,由于我的对象的 __getstate__
返回的值是一个字典,而 Python 字典是无序的,name"字段将被序列化到输出中的随机位置.
例如
<预><代码>>>>导入 yaml>>>类文档(对象):... def __init__(self, name):... self.name = 姓名... self.otherstuff = '等等'... def __getstate__(self):...返回 self.__dict__.copy()...>>>doc = Document('obj-20111227')>>>打印 yaml.dump(doc, indent=4)!!python/对象:__main__.Document其他:等等名称:obj-20111227我花了几个小时挖掘 PyYAML 文档和票证,但我最终发现了 此评论 列出了一些用于将 OrderedDict 序列化为普通 YAML 映射(但保持顺序)的概念验证代码.
例如应用于我的原始代码,解决方案如下所示:
<预><代码>>>>导入 yaml>>>从集合导入 OrderedDict>>>def dump_anydict_as_map(anydict):... yaml.add_representer(anydict, _represent_dictorder)...>>>def _represent_dictorder( self, data):...如果 isinstance(data, Document):... return self.represent_mapping('tag:yaml.org,2002:map', data.__getstate__().items())... 别的:... return self.represent_mapping('tag:yaml.org,2002:map', data.items())...>>>类文档(对象):... def __init__(self, name):... self.name = 姓名... self.otherstuff = '等等'... def __getstate__(self):... d = OrderedDict()... d['name'] = self.name... d['otherstuff'] = self.otherstuff...返回d...>>>dump_anydict_as_map(文档)>>>doc = Document('obj-20111227')>>>打印 yaml.dump(doc, indent=4)!!python/对象:__main__.Document名称:obj-20111227其他:等等How do you control how the order in which PyYaml outputs key/value pairs when serializing a Python dictionary?
I'm using Yaml as a simple serialization format in a Python script. My Yaml serialized objects represent a sort of "document", so for maximum user-friendliness, I'd like my object's "name" field to appear first in the file. Of course, since the value returned by my object's __getstate__
is a dictionary, and Python dictionaries are unordered, the "name" field will be serialized to a random location in the output.
e.g.
>>> import yaml
>>> class Document(object):
... def __init__(self, name):
... self.name = name
... self.otherstuff = 'blah'
... def __getstate__(self):
... return self.__dict__.copy()
...
>>> doc = Document('obj-20111227')
>>> print yaml.dump(doc, indent=4)
!!python/object:__main__.Document
otherstuff: blah
name: obj-20111227
Took me a few hours of digging through PyYAML docs and tickets, but I eventually discovered this comment that lays out some proof-of-concept code for serializing an OrderedDict as a normal YAML map (but maintaining the order).
e.g. applied to my original code, the solution looks something like:
>>> import yaml
>>> from collections import OrderedDict
>>> def dump_anydict_as_map(anydict):
... yaml.add_representer(anydict, _represent_dictorder)
...
>>> def _represent_dictorder( self, data):
... if isinstance(data, Document):
... return self.represent_mapping('tag:yaml.org,2002:map', data.__getstate__().items())
... else:
... return self.represent_mapping('tag:yaml.org,2002:map', data.items())
...
>>> class Document(object):
... def __init__(self, name):
... self.name = name
... self.otherstuff = 'blah'
... def __getstate__(self):
... d = OrderedDict()
... d['name'] = self.name
... d['otherstuff'] = self.otherstuff
... return d
...
>>> dump_anydict_as_map(Document)
>>> doc = Document('obj-20111227')
>>> print yaml.dump(doc, indent=4)
!!python/object:__main__.Document
name: obj-20111227
otherstuff: blah
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