attrdict 2.0.1
A dict with attribute-style access
License: MIT License

========
AttrDict
========
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AttrDict is an MIT-licensed library that provides mapping objects that allow
their elements to be accessed both as keys and as attributes::

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

Attribute access makes it easy to create convenient, hierarchical settings
objects::

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

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

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

Installation
============
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

Basic Usage
===========
AttrDict comes with three different classes, `AttrMap`, `AttrDict`, and
`AttrDefault`. They are all fairly similar, as they all are MutableMappings (
read: dictionaries) that allow creating, accessing, and deleting key-value
pairs as attributes.

Valid Names
-----------
Any key can be used as an attribute as long as:

#. The key represents a valid attribute (i.e., it is a string comprised only of
   alphanumeric characters and underscores that doesn't start with a number)
#. The key represents a public attribute (i.e., it doesn't start with an
   underscore). This is done (in part) so that implementation changes between
   minor and micro versions don't force major version changes.
#. The key does not shadow a class attribute (e.g., get).

Attributes vs. Keys
-------------------
There is a minor difference between accessing a value as an attribute vs.
accessing it as a key, is that when a dict is accessed as an attribute, it will
automatically be converted to an Attr object. This allows you to recursively
access keys::

    > attr = AttrDict({'foo': {'bar': 'baz'}})
    > attr.foo.bar
    'baz'

Relatedly, by default, sequence types that aren't `bytes`, `str`, or `unicode`
(e.g., lists, tuples) will automatically be converted to tuples, with any
mappings converted to Attrs::

    > attr = AttrDict({'foo': [{'bar': 'baz'}, {'bar': 'qux'}]})
    > for sub_attr in attr.foo:
    >     print(sub_attr.foo)
    'baz'
    'qux'

To get this recursive functionality for keys that cannot be used as attributes,
you can replicate the behavior by calling the Attr object::

    > attr = AttrDict({1: {'two': 3}})
    > attr(1).two
    3

Classes
-------
AttrDict comes with three different objects, `AttrMap`, `AttrDict`, and
`AttrDefault`.

AttrMap
^^^^^^^
The most basic implementation. Use this if you want to limit the number of
invalid keys, or otherwise cannot use `AttrDict`

AttrDict
^^^^^^^^
An Attr object that subclasses `dict`. You should be able to use this
absolutely anywhere you can use a `dict`. While this is probably the class you
want to use, there are a few caveats that follow from this being a `dict` under
the hood.

The `copy` method (which returns a shallow copy of the mapping) returns a
`dict` instead of an `AttrDict`.

Recursive attribute access results in a shallow copy, so recursive assignment
will fail (as you will be writing to a copy of that dictionary)::

    > attr = AttrDict('foo': {})
    > attr.foo.bar = 'baz'
    > attr.foo
    {}

Assignment as keys will still work::

    > attr = AttrDict('foo': {})
    > attr['foo']['bar'] = 'baz'
    > attr.foo
    {'bar': 'baz'}

If either of these caveats are deal-breakers, or you don't need your object to
be a `dict`, consider using `AttrMap` instead.

AttrDefault
^^^^^^^^^^^
At Attr object that behaves like a `defaultdict`. This allows on-the-fly,
automatic key creation::

    > attr = AttrDefault(int, {})
    > attr.foo += 1
    > attr.foo
    1

AttrDefault also has a `pass_key` option that passes the supplied key to the
`default_factory`::

    > attr = AttrDefault(sorted, {}, pass_key=True)
    > attr.banana
    ['a', 'a', 'a', 'b', 'n', 'n']

Merging
-------
All three Attr classes can be merged with eachother or other Mappings 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 commutative, ``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': }}

Sequences
---------
By default, items in non-string Sequences (e.g. lists, tuples) 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.