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Metadata-Version: 2.1
Name: munch
Version: 4.0.0
Summary: A dot-accessible dictionary (a la JavaScript objects)
Home-page: https://github.com/Infinidat/munch
Author: Rotem Yaari
Author-email: vmalloc@gmail.com
License: MIT
Keywords: munch,dict,mapping,container,collection
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Utilities
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: testing
Provides-Extra: yaml
License-File: LICENSE.txt
[](https://pypi.python.org/pypi/munch/)
[](https://pypi.python.org/pypi/munch/)
[](https://pypi.python.org/pypi/munch/)
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:
```python
>>> 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:
```python
>>> list(b.keys())
['hello', 'foo']
```
Including ``update()``:
```python
>>> b.update({ 'ponies': 'are pretty!' }, hello=42)
>>> print(repr(b))
Munch({'hello': 42, 'foo': Munch({'lol': True}), 'ponies': 'are pretty!'})
```
As well as iteration:
```python
>>> [ (k,b[k]) for k in b ]
[('hello', 42), ('foo', Munch({'lol': True})), ('ponies', 'are pretty!')]
```
And "splats":
```python
>>> "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.
```python
>>> 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](http://pyyaml.org/wiki/PyYAML) installed, Munch attempts to register itself with the various YAML Representers so that Munches can be transparently dumped and loaded.
```python
>>> 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:
```python
>>> 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:
```python
>>> 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:
```python
>>> 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`` and ``unmunchify``.
* Ample Tests. Just run ``pip install tox && tox`` from the project root.
Feedback
--------
Open a ticket / fork the project on [GitHub](http://github.com/Infinidat/munch).
|
