from FlaskEchoApp import create_app application = create_app() application.run(debug=True)
from __future__ import absolute_import
from flask.ext.script import Manager
from flask.ext.celery import install_commands as install_celery_commands
from FlaskEchoApp import create_app
from celery_views import CeleryEchoView
app = create_app()
manager = Manager(app)
install_celery_commands(manager)
# Register the modelview version of the echoer that offloads the task
# to a celery worker and supports teting the result of a celery worker
# (by id).
app.add_url_rule(
"/json_celery_class", view_func=CeleryEchoView.as_view("json_celery_class"))
if __name__ == "__main__":
# Note, this is a script wrapped around a flask server + celery
# This does require that you already have a RabbitMQ broker running.
# To start a celeryd (celery worker) use:
# "python manage_celery.py celeryd --loglevel=INFO"
# To start a flask server on localhost:5000 use:
# "python manage_celery.py runserver"
manager.run()
from flask.ext.celery import Celery
from views import echo
from FlaskEchoApp import create_app
app = create_app()
celery = Celery(app)
@celery.task(name="celery_echo")
def celery_echo(mth, txt):
return echo(mth,txt)