YAML in Python: Difference between revisions
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{{Internal|Python Safely Navigate a Complex Data Structure#Overview|Safely Navigate a Complex Data Structure}} | {{Internal|Python Safely Navigate a Complex Data Structure#Overview|Safely Navigate a Complex Data Structure}} | ||
==Configure <tt>yaml.dump()</tt> to render blank instead of <tt>null</tt>== | ==Configure <tt>yaml.dump()</tt> to render blank instead of <tt>null</tt>== | ||
PyYAML <code>dump()</code> uses <code>Representer()</code> to represent <code>None</code>. By default, the representer <code>dump()</code> is configured with represents <code>None</code> as "null". To change that: | PyYAML <code>dump()</code> uses <code>Representer()</code> to represent <code>None</code>. By default, the representer <code>dump()</code> is configured with represents <code>None</code> as "null". To change that: |
Revision as of 23:55, 7 December 2022
Internal
PyYAML
PyYAML provides YAML serialization/deserialization in Python.
Installation
pip install pyyaml
requirements.txt
:
pyyaml == 5.3.1
To install, see the "Installation" section from https://pyyaml.org/wiki/PyYAMLDocumentation.
Overview
Concepts
PyYAML core model is centered on constructors, representers and tags.
Constructor
A constructor allows you to take a serialized YAML node and return a class instance.
Representer
A representer is user-defined function that intercepts, as part of the YAML serialization process, data object instances to be serialized, optionally processes them, and then messages the Dumper
instance received as argument to create the proper serialized representation for the given data object instance, as a Node
instance. The instance thus created is returned as result of the representer function, contributing to the serialization result. The representer gets the Dumper
instance as a first argument, and the data object as the second.
This is an implementation of a representer that uses the literal block scalar representation for multi-line strings, and the default plain flow scalar representation for everything else.
def custom_scalar_representer(dumper: Dumper, data: str):
# for multi-line strings, use the literal block scalar representation, use the default otherwise
if data and '\n' in data:
return dumper.represent_scalar('tag:yaml.org,2002:str', data, '|')
else:
return dumper.represent_scalar('tag:yaml.org,2002:str', data)
In this case, tag:yaml.org,2002:str
is the tag name for string nodes.
The representers are registered with add_representer()
. Representers can be added for specific types (such as str
or int
):
yaml.add_representer(str, custom_scalar_representer)
Tag
The tag uses the special character !
preceding the tag name to label a YAML node.
A tag helps PyYAML to know which constructor or representer to call.
Deserialize YAML
import yaml
with open('some-file.yaml', 'rt') as f:
content = f.read()
data = yaml.load(content, Loader=yaml.Loader)
Serialize YAML
Suggestions on how to safely recursively navigate a complex data structure:
Configure yaml.dump() to render blank instead of null
PyYAML dump()
uses Representer()
to represent None
. By default, the representer dump()
is configured with represents None
as "null". To change that:
1. Define a method that "represents" None
def representer_for_none(self, _):
return self.represent_scalar('tag:yaml.org,2002:null', '')
2. Add it to the module:
import yaml
[...]
yaml.add_representer(type(None), represent_none)
This will render:
d = {
'a': None,
'b': 'c'
}
as:
a:
b: c
what is the lifecycle of the method registered to the module?
Configure yaml.dump() to render | multi-lines
def literal_presenter(dumper, data):
return dumper.represent_scalar('tag:yaml.org,2002:str', data, style='|')
def default_presenter(dumper, data):
return dumper.represent_scalar('tag:yaml.org,2002:str', data, style='')
try:
yaml.add_representer(str, literal_presenter)
yaml_text = yaml.dump(config)
return yaml_text
finally:
yaml.add_representer(str, default_presenter)