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)