nanomongo 0.3.1

=========
nanomongo
=========

If you like using ``pymongo`` native api but often find yourself subclassing
``dict`` to add some extra logic and while you're at it, why not add some
field validations right? And index definitions, and ``pymongo.Collection``
wrappers, and ... (you get the idea).

.. image:: https://travis-ci.org/eguven/nanomongo.png
:target: https://travis-ci.org/eguven/nanomongo

Features
--------

- single format ``Field`` definitions with type checking and a few common
options such as ``required``, ``default``, ``auto_update``

- ``pymongo``-identical index definitions

- optional ``dot_notation``

- assignment and deletion (delta) tracking for ``'$set'`` and ``'$unset'``
and atomic updates; you either insert or update

- ``'$addToSet'`` on ``Document``

- *upcoming* ``'$push'`` ``'$pull'`` funtionality


# rough example
import pymongo
from nanomongo import Field, BaseDocument, Index

client = pymongo.MongoClient()

class MyDoc(BaseDocument, dot_notation=True, client=client, db='dbname'):
foo = Field(str)
bar = Field(int, required=False)

__indexes__ = [
Index('foo'),
Index([('bar', 1), ('foo', -1)], unique=True),
]

doc = MyDoc(foo='L33t')
doc.bar = 42
doc.insert()

Doc.find_one({'foo': 'L33t'})


nanomongo is Python23 compatible and I intend to support both pymongo & motor
transparently under the hood.

Contributions and insight are welcome!

:Author: Eren Güven (GitHub_, Twitter_)
:License: Apache Software License

.. _GitHub: https://github.com/eguven
.. _Twitter: https://twitter.com/cyberfart