How to parse/read a YAML file into a Python object?
If your YAML file looks like this:
# tree format
treeroot:
branch1:
name: Node 1
branch1-1:
name: Node 1-1
branch2:
name: Node 2
branch2-1:
name: Node 2-1
And you've installed PyYAML
like this:
pip install PyYAML
And the Python code looks like this:
import yaml
with open('tree.yaml') as f:
# use safe_load instead load
dataMap = yaml.safe_load(f)
The variable dataMap
now contains a dictionary with the tree data. If you print dataMap
using PrettyPrint, you will get something like:
{
'treeroot': {
'branch1': {
'branch1-1': {
'name': 'Node 1-1'
},
'name': 'Node 1'
},
'branch2': {
'branch2-1': {
'name': 'Node 2-1'
},
'name': 'Node 2'
}
}
}
So, now we have seen how to get data into our Python program. Saving data is just as easy:
with open('newtree.yaml', "w") as f:
yaml.dump(dataMap, f)
You have a dictionary, and now you have to convert it to a Python object:
class Struct:
def __init__(self, **entries):
self.__dict__.update(entries)
Then you can use:
>>> args = your YAML dictionary
>>> s = Struct(**args)
>>> s
<__main__.Struct instance at 0x01D6A738>
>>> s...
and follow "Convert Python dict to object".
For more information you can look at pyyaml.org and this.
From http://pyyaml.org/wiki/PyYAMLDocumentation:
add_path_resolver(tag, path, kind)
adds a path-based implicit tag resolver. A path is a list of keys that form a path to a node in the representation graph. Paths elements can be string values, integers, or None. The kind of a node can be str, list, dict, or None.
#!/usr/bin/env python
import yaml
class Person(yaml.YAMLObject):
yaml_tag = '!person'
def __init__(self, name):
self.name = name
yaml.add_path_resolver('!person', ['Person'], dict)
data = yaml.load("""
Person:
name: XYZ
""")
print data
# {'Person': <__main__.Person object at 0x7f2b251ceb10>}
print data['Person'].name
# XYZ