MongoLite 1.5

Features

• schema less feature

• inheritance and polymorphisme support

• skeleton generation (your object is automaticaly filled by the correct fields)

• nested and complex schema declaration

• default values features

• random query support (which returns a random document from the database)

• json helpers

• GridFS support

A quick example

A Document declaration look like that:

>>> from mongolite import *
>>> import datetime

>>> connection = Connection()

>>> @connection.register
... class BlogPost(Document):
...     __database__ = 'test'
...     __collection__ = 'example'
...     skeleton = {
...             'title':unicode,
...             'body':unicode,
...             'author':unicode,
...             'date_creation':datetime.datetime,
...             'rank':int
...     }
...     optional = {
...             'tags': [unicode],
...     }
...     default_values = {'rank':0, 'date_creation':datetime.datetime.utcnow}
...

>>> blogpost = con.BlogPost() # this use the db "test" from `__database__` and the collection "example" from `__collection__`
>>> blogpost # the skeleton is automatically generated (based on the skeleton attribute)
{'body': None, 'title': None, 'date_creation': datetime.datetime(...), 'rank': 0, 'author': None}
>>> blogpost['title'] = u'my title'
>>> blogpost['body'] = u'a body'
>>> blogpost['author'] = u'me'
>>> blogpost['tags'] = ['about me', 'first post']
>>> blogpost
{'body': u'a body', 'title': u'my title', 'date_creation': datetime.datetime(...), 'rank': 0, 'author': u'me', 'tags': [u'about me', u'first post']}
>>> blogpost.save()

Note that, while fields in skeleton should be present in the document, fields in optional attribute are not generated by default. It aims to be for documentation only…

To access those fields, use the following convention:

for fields in skeleton:

>>> title = blogpost['title']

for fields in optional:

>>> tags = blogpost.get('tags', [])

MongoLite is written on top of pymongo. All the pymongo’s API is accessible and the results are wrapped into Document objects:

>>> blogpost = con.BlogPost.find_one() # this is a blogpost object

However, if you need more performances, you can use the pymongo layer directly:

>>> blogpost = con.test.example.find_one() # this is a dict

Suggestion and patches are really welcome. If you find mistakes in the documentation (english is not my primary langage) feel free to contact me. You can find me (namlook) on twitter.

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