Storm stands for S imple T ornado O bject R elational M apping.
It uses Mongo DB for the backend, but it should be swappable for any storage by implementing the storm.db.Database interface.
This is the result of a few hours of work so I would not recommend using it in production at the moment.
from storm.model import Model
from storm.db import Connection
from storm.mongodb import MongoDb
from tornado.gen import coroutine
from tornado.ioloop import IOLoop
class User(Model):
pass
@coroutine
def main():
db = MongoDb(Connection(
host='localhost',
port=27017,
database='test'))
db.connect()
Model.set_db(db)
# save a new object
user = User()
user.name = 'Craig'
user.type = 'basic'
id = yield user.save()
# find an object
try:
user = yield User.find(name='Craig')
print user.name
print user.type
except Exception, e:
print e
IOLoop.instance().stop()
main()
IOLoop.instance().start()This is in no way affiliated with the storm ORM developed by Canonical: http://storm.canonical.com. I didn't know there was another ORM with the same name until I checked PyPi.