A dot-accessible dictionary (a la JavaScript objects)
Project description
munch
Installation
pip install munch
Usage
munch is a fork of David Schoonover's Bunch package, providing similar functionality. 99% of the work was done by him, and the fork was made mainly for lack of responsiveness for fixes and maintenance on the original code.
Munch is a dictionary that supports attribute-style access, a la JavaScript:
>>> from munch import Munch
>>> b = Munch()
>>> b.hello = 'world'
>>> b.hello
'world'
>>> b['hello'] += "!"
>>> b.hello
'world!'
>>> b.foo = Munch(lol=True)
>>> b.foo.lol
True
>>> b.foo is b['foo']
True
Dictionary Methods
A Munch is a subclass of dict
; it supports all the methods a dict
does:
>>> list(b.keys())
['hello', 'foo']
Including update()
:
>>> b.update({ 'ponies': 'are pretty!' }, hello=42)
>>> print(repr(b))
Munch({'hello': 42, 'foo': Munch({'lol': True}), 'ponies': 'are pretty!'})
As well as iteration:
>>> [ (k,b[k]) for k in b ]
[('hello', 42), ('foo', Munch({'lol': True})), ('ponies', 'are pretty!')]
And "splats":
>>> "The {knights} who say {ni}!".format(**Munch(knights='lolcats', ni='can haz'))
'The lolcats who say can haz!'
Serialization
Munches happily and transparently serialize to JSON and YAML.
>>> b = Munch(foo=Munch(lol=True), hello=42, ponies='are pretty!')
>>> import json
>>> json.dumps(b)
'{"foo": {"lol": true}, "hello": 42, "ponies": "are pretty!"}'
If JSON support is present (json
or simplejson
), Munch
will have a toJSON()
method which returns the object as a JSON string.
If you have PyYAML installed, Munch attempts to register itself with the various YAML Representers so that Munches can be transparently dumped and loaded.
>>> b = Munch(foo=Munch(lol=True), hello=42, ponies='are pretty!')
>>> import yaml
>>> yaml.dump(b)
'!munch.Munch\nfoo: !munch.Munch\n lol: true\nhello: 42\nponies: are pretty!\n'
>>> yaml.safe_dump(b)
'foo:\n lol: true\nhello: 42\nponies: are pretty!\n'
In addition, Munch instances will have a toYAML()
method that returns the YAML string using yaml.safe_dump()
. This method also replaces __str__
if present, as I find it far more readable. You can revert back to Python's default use of __repr__
with a simple assignment: Munch.__str__ = Munch.__repr__
. The Munch class will also have a static method Munch.fromYAML()
, which loads a Munch out of a YAML string.
Finally, Munch converts easily and recursively to (unmunchify()
, Munch.toDict()
) and from (munchify()
, Munch.fromDict()
) a normal dict
, making it easy to cleanly serialize them in other formats.
Default Values
DefaultMunch
instances return a specific default value when an attribute is missing from the collection. Like collections.defaultdict
, the first argument is the value to use for missing keys:
>>> from munch import DefaultMunch
>>> undefined = object()
>>> b = DefaultMunch(undefined, {'hello': 'world!'})
>>> b.hello
'world!'
>>> b.foo is undefined
True
DefaultMunch.fromDict()
also takes the default
argument:
>>> undefined = object()
>>> b = DefaultMunch.fromDict({'recursively': {'nested': 'value'}}, undefined)
>>> b.recursively.nested == 'value'
True
>>> b.recursively.foo is undefined
True
Or you can use DefaultFactoryMunch
to specify a factory for generating missing attributes. The first argument is the factory:
>>> from munch import DefaultFactoryMunch
>>> b = DefaultFactoryMunch(list, {'hello': 'world!'})
>>> b.hello
'world!'
>>> b.foo
[]
>>> b.bar.append('hello')
>>> b.bar
['hello']
Miscellaneous
- It is safe to
import *
from this module. You'll get:Munch
,DefaultMunch
,DefaultFactoryMunch
,munchify
andunmunchify
. - Ample Tests. Just run
pip install tox && tox
from the project root.
Feedback
Open a ticket / fork the project on GitHub.
Project details
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