Build: | |
---|---|
Documentation: | http://flywheel.readthedocs.org/ |
Downloads: | http://pypi.python.org/pypi/flywheel |
Source: | https://github.com/stevearc/flywheel |
Object mapper for Amazon's DynamoDB
END OF LIFE WARNING: I haven't personally used this project, or even written much python, since early 2014. I will continue to respond to bugs and pull requests, but I am no longer doing active development. My apologies to those of you who have come to rely on Flywheel; I wish I had the time to continue it. If there is anyone in the community interested in becoming the new maintainer and continuing to move development forward, send me an email and we can discuss.
If you are looking for an alternative, I can recommend PynamoDB.
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(type=int)
top_score_time = Field(type=datetime)
wins = Field(type=int)
losses = Field(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()