Flywheel

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Documentation:	http://flywheel.readthedocs.org/
Downloads:	http://pypi.python.org/pypi/flywheel
Source:	https://github.com/mathcamp/flywheel

Object mapper for Amazon's DynamoDB

Getting Started

This is what a basic model looks like (schema taken from this DynamoDB API documentation)

from flywheel import Model, Field, GlobalIndex

class GameScore(Model):
    __metadata__ = {
        'global_indexes': [
            GlobalIndex('GameTitleIndex', 'title', 'top_score')
        ],
    }
    userid = Field(hash_key=True)
    title = Field(range_key=True)
    top_score = Field(data_type=int)
    top_score_time = Field(data_type=datetime)
    wins = Field(data_type=int)
    losses = Field(data_type=int)

    def __init__(self, title, userid):
        self.title = title
        self.userid = userid

Create a new top score:

>>> score = GameScore('Master Blaster', 'abc')
>>> score.top_score = 9001
>>> score.top_score_time = datetime.utcnow()
>>> engine.sync(score)

Get all top scores for a user:

>>> scores = engine.query(GameScore).filter(userid='abc').all()

Get the top score for Galaxy Invaders:

>>> top_score = engine.query(GameScore).filter(title='Galaxy Invaders')\
...     .first(desc=True)

Atomically increment a user's "wins" count on Alien Adventure:

>>> score = GameScore('Alien Adventure', 'abc')
>>> score.incr_(wins=1)
>>> engine.sync(score)

Get all scores on Comet Quest that are over 9000:

>>> scores = engine.query(GameScore).filter(GameScore.top_score > 9000,
...                                         title='Comet Quest').all()