Django - Celery with RabbitMQ: task always remains in PENDING - django

Question

I have to use Celery 4.0.2 with RabbitMQ 3.6.10 to handle an async task. Then, I have followed this tutorial: https://www.codementor.io/uditagarwal/asynchronous-tasks-using-celery-with-django-du1087f5k
However, I have a slight problem with my task because it's impossible to have a result. My task always remains in "PENDING" state.
My question is what i have to do to get a result ?
Thank you in advance for your answer.
Here my code:
Here my __init_.py:
from __future__ import absolute_import, unicode_literals
# This will make sure the app is always imported when
# Django starts so that shared_task will use this app.
from .celery import app as celery_app
__all__ = ['celery_app']
Here a part of my setting.py:
BROKER_URL = 'amqp://guest:guest#localhost//'
CELERY_ACCEPT_CONTENT = ['json']
CELERY_TASK_SERIALIZER = 'json'
CELERY_RESULT_SERIALIZER = 'json'
Here my celery.py:
from __future__ import absolute_import, unicode_literals
import os
from celery import Celery
# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'mysite.settings')
app = Celery('mysite',
backend='amqp',
broker='amqp://guest#localhost//')
# Using a string here means the worker don't have to serialize
# the configuration object to child processes.
# - namespace='CELERY' means all celery-related configuration keys
# should have a `CELERY_` prefix.
app.config_from_object('django.conf:settings', namespace='CELERY')
# Load task modules from all registered Django app configs.
app.autodiscover_tasks()
#app.task(bind=True)
def debug_task(self):
print('Request: {0!r}'.format(self.request))
And my tasks.py
# Create your tasks here
from __future__ import absolute_import, unicode_literals
from celery import shared_task
#shared_task
def add(x, y):
test = "ok"
current_task.update_state(state='PROGRESS',
meta={'test': ok})
return x + y
And here my Django Shell:
>>> from blog.tasks import *
>>> job = add.delay(2,3)
>>> job.state
'PENDING'
>>> job.result
>>>
With a picture of my RabbitMQ interface:

Answer 1

You need to start a worker that will process the tasks you add to queue. From your virtualenv run:
celery worker -A blog -l info