I have a problem that metadata and tasks result are only visible in Flower when tasks are called via Celery’s periodic_task functionality. My code from task_queue.celery import app from tasks.warehouse.warehouse_tasks import synchronize_all_warehouses @app.on_after_finalize.connect def setup_periodic_tasks(sender, **kwargs): sender.add_periodic_task(3600, synchronize_all_warehouses.s(), name="synchronize_all_warehouses") # Start task immediately after deploy so you do not have to wait 1h for results ..
I am trying to learn how to perform asynchronous tasks using Celery. My app.py file: from flask import Flask, render_template from celery import Celery from flask_mail import Mail, Message from flask_wtf import FlaskForm from wtforms import StringField import os from dotenv import load_dotenv load_dotenv() app = Flask(__name__) app.config[‘SECRET_KEY’] = os.getenv(‘SECRET_KEY’) app.config[‘MAIL_SERVER’] = ‘smtp.googlemail.com’ app.config[‘MAIL_PORT’] = ..
I want to setup docker-compose for my app, which contains Django, Celery (+Beat), RabbitMQ and PSQL. My problem is that celery beat container does not work as intended (does not schedule a task with interval 10s). Docker logs – celery beat wakes up in 5.00 minutes, celery worker works fine celery-worker_1 | [2021-03-29 21:05:58,201: INFO/MainProcess] ..
I’m creating a Flask API endpoint using Redis (broker and backend) and Celery to do some Async tasks (Python 3.7 code). Everything’s work like a charm when I’m running it locally, but I have some unexpected behavior when I try to do the same with remote Redis and Celery. Local run: I’m developing in Windows ..
I’m running a celery worker and flower in two separate containers using docker. The host machine’s timezone is set to America/Denver. The celery worker has the following timezone-related configurations: app = Celery(‘app’, broker=RABBITMQ_BROKER_URL) app.conf.enable_utc = False app.conf.timezone = ‘America/Denver’ I’ve tried setting the timezone for the container running flower a couple of different ways, but ..
I’m trying to get celery to work with Django and docker and the building works well but I celery won’t run. Any ideas? Here is are the docker-compose logs -f errors Starting django-celery_redis_1 … done Starting django-celery_db_1 … done Starting django-celery_flower_1 … done Starting django-celery_celery_beat_1 … done Starting django-celery_celery_worker_1 … done Starting django-celery_web_1 … done ..
I am using Celery for excuting various tasks from django. The celery is managed using Supervisor. Rabbitmq is used the broker for celery . Celery and django are inside a single Docker container and broker in another. The entire application is working Docker-compose running in RHEL 7.9. Problem celery is continuously restarting after every 2min ..
I am usingCelery in Docker container deployed on AWS for some asynchronous jobs scheduling withRedis as the broker. Here is my config in settings.py. All is working well. My only issue is the the job is getting triggered at every deployment even though I have set specific times for it. Otherwise after the deployment it ..
I have a docker setup wherein I have a redis instance running in one container, a rabbitmq instance in another, and now I want to set up a third container that will act as a service which can start and stop a number of celery workers. Previously, this service was a installed as a windows ..
I am using Celery to implement communication from/to a RabbitMQ message queue. The basic setup works fine but now I am hitting some walls. I am doing some processing within the task execution and then try to post the result of the processing (while still being in the first celery task) to another celery bucket. ..