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attrdict 0.2.0

A dict with attribute-style access

Latest Version: 0.2.1

AttrDict is a 2.6, 2.7, 3-compatible dictionary that allows its elements to be accessed both as keys and as attributes:

> from attrdict import AttrDict
> a = AttrDict({'foo': 'bar'})
> a.foo
'bar'
> a['foo']
'bar'

With this, you can easily create convenient, heirarchical settings objects.

with open('settings.yaml', 'r') as fileobj:
    settings = AttrDict(yaml.safe_load(fileobj))

cursor = connect(**settings.db.credentials).cursor()

cursor.execute("SELECT column FROM table");

Instalation

AttrDict is in PyPI, so it can be installed directly using:

$ pip install attrdict

Or from Github:

$ git clone https://github.com/bcj/AttrDict
$ cd AttrDict
$ python setup.py install

Documentation

Documentation is available at https://github.com/bcj/AttrDict

Usage

Creation

An empty AttrDict can be created with:

a = AttrDict()

Or, you can pass an existing dict (or other type of Mapping object):

a = AttrDict({'foo': 'bar'})

NOTE: Unlike dict, AttrDict will not clone on creation. AttrDict's internal dictionary will be the same instance as the dict passed in.

Access

AttrDict can be used exactly like a normal dict:

> a = AttrDict()
> a['foo'] = 'bar'
> a['foo']
'bar'
> '{foo}'.format(**a)
'bar'
> del a['foo']
> a.get('foo', 'default')
'default'

AttrDict can also have it's keys manipulated as attributes to the object:

> a = AttrDict()
> a.foo = 'bar'
> a.foo
'bar'
> del a.foo

Both methods operate on the same underlying object, so operations are interchangeable. The only difference between the two methods is that where dict-style access would return a dict, attribute-style access will return an AttrDict. This allows recursive attribute-style access:

> a = AttrDict({'foo': {'bar': 'baz'}})
> a.foo.bar
'baz'
> a['foo'].bar
AttributeError: 'dict' object has no attribute 'bar'

There are some valid keys that cannot be accessed as attributes. To be accessed as an attribute, a key must:

  • be a string
  • start with an alphabetic character
  • be comprised solely of alphanumeric characters and underscores
  • not map to an existing attribute name (e.g., get, items)

To access these attributes while retaining an AttrDict wrapper (or to dynamically access any key as an attribute):

> a = AttrDict({'_foo': {'bar': 'baz'}})
> a('_foo').bar
'baz'

Merging

AttrDicts can be merged with eachother or other dict objects using the + operator. For conflicting keys, the right dict's value will be preferred, but in the case of two dictionary values, they will be recursively merged:

> a = {'foo': 'bar', 'alpha': {'beta': 'a', 'a': 'a'}}
> b = {'lorem': 'ipsum', 'alpha': {'bravo': 'b', 'a': 'b'}}
> AttrDict(a) + b
{'foo': 'bar', 'lorem': 'ipsum', 'alpha': {'beta': 'a', 'bravo': 'b', 'a': 'b'}}

NOTE: AttrDict's add is not idempotent, a + b != b + a:

> a = {'foo': 'bar', 'alpha': {'beta': 'b', 'a': 0}}
> b = {'lorem': 'ipsum', 'alpha': {'bravo': 'b', 'a': 1}}
> b + AttrDict(a)
{'foo': 'bar', 'lorem': 'ipsum', 'alpha': {'beta': 'a', 'bravo': 'b', 'a': }}

Lists

By default, items in lists (and other sequences) will be converted to AttrDicts:

> adict = AttrDict({'list': [{'value': 1}, 'value': 2]})
> for element in adict.list:
>     element.value
1
2

This will not occur if you access the AttrDict as a dictionary:

> adict = AttrDict({'list': [{'value': 1}, 'value': 2]})
> for element in adict['list']:
>     isinstance(element, AttrDict)
False
False

To disable this behavior globally, pass the attribute recursive=False to the constructor:

> adict = AttrDict({'list': [{'value': 1}, 'value': 2]}, recursive=False)
> for element in adict['list']:
>     isinstance(element, AttrDict)
False
False

When merging an AttrDict with another mapping, this behavior will be disabled if at least one of the merged items is an AttrDict that has set recursive to False.

License

AttrDict is released under a MIT license.

 
File Type Py Version Uploaded on Size
attrdict-0.2.0.tar.gz (md5) Source 2014-01-03 7KB
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