Struggling with Tornado - Celery integration - celery

Question

I am in the process of building a Tornado Web server which requires to perform some blocking tasks such as zipping video files, etc which are time consuming. Ideally, I would like to hand off these tasks
to a subprocess utility like Celery and inform the Client accordingly. So, I took this code from GitHub & modified it to get better understanding. I am using Ubuntu 12.04 LTS and here's what I have done so far:
Installed Tornado and working great on its own.
Installed RabbitMQ (apt-get install rabbitmq-server).
Installed Tornado Celery (downloaded and unzipped the tar file).
Executed python -m pip install tornado-celery
Borrowed 2 example python files from above Github Repo and modified it.
My Tasks snippet code (myTornadoTasks.py) is:
import os
import time
from datetime import datetime
from celery import Celery
from celery import task
celery = Celery("myTornadoTasks", broker="amqp://")
celery.conf.CELERY_RESULT_BACKEND = os.environ.get('CELERY_RESULT_BACKEND', 'amqp')
#celery.task
def add(x, y):
return int(x) + int(y)
..... some more code
#celery.task
def error(msg):
raise Exception(msg)
if __name__ == "__main__":
celery.start()
I start the tasks using celery worker -A myTornadoTasks &. Here everything works fine and I see 24 threads running.
My Tornado Celery snippet code (myTornadoCelery.py) is:
from tornado import gen
from tornado import ioloop
from tornado.web import asynchronous, RequestHandler, Application
import myTornadoTasks
import tcelery tcelery.setup_nonblocking_producer()
class AsyncHandler(RequestHandler):
#asynchronous
def get(self):
myTornadoTasks.sleep.apply_async(args=[3], callback=self.on_result)
def on_result(self, response):
self.write(str(response.result))
self.finish()
... some more code
application = Application([
(r"/async-sleep", AsyncHandler),
(r"/gen-async-sleep", GenAsyncHandler),
(r"/gen-async-sleep-add", GenMultipleAsyncHandler),
])
if __name__ == "__main__":
application.listen(8887)
ioloop.IOLoop.instance().start()
I start Tornado using python -m tcelery --app=myTornadoCelery --address=0.0.0.0
I get an error AttributeError: 'module' object has no attribute 'celery'
Questions:
What does the above error mean? What am I missing?
Did I miss any steps here? Where is RabbitMQ invoked?
How do I increase/decrease the number of Celery workers from 24?
Thanks.
Updated with Error:
Traceback (most recent call last):
File "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main
"__main__", fname, loader, pkg_name)
File "/usr/lib/python2.7/runpy.py", line 72, in _run_code
exec code in run_globals
File "/usr/local/lib/python2.7/dist-packages/tcelery/__main__.py", line 62, in <module>
main()
File "/usr/local/lib/python2.7/dist-packages/tcelery/__main__.py", line 56, in main
cmd.execute_from_commandline()
File "/usr/local/lib/python2.7/dist-packages/celery/bin/base.py", line 309, in execute_from_commandline
argv = self.setup_app_from_commandline(argv)
File "/usr/local/lib/python2.7/dist-packages/celery/bin/base.py", line 469, in setup_app_from_commandline
self.app = self.find_app(app)
File "/usr/local/lib/python2.7/dist-packages/celery/bin/base.py", line 489, in find_app
return find_app(app, symbol_by_name=self.symbol_by_name)
File "/usr/local/lib/python2.7/dist-packages/celery/app/utils.py", line 240, in find_app
found = sym.celery
AttributeError: 'module' object has no attribute 'celery'