Object mapper for Amazon's DynamoDB
Project description
flywheel
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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()
0.1.1
Bug fix: Can call incr_() on models that have not been saved yet
Bug fix: Model comparison with None
0.1.0
First public release
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