celery

I'm replacing some homegrown code with Celery, but having a hard time replicating the current behaviour. My desired behaviour is as follows: When creating a new user, a message should be published to the tasks exchange with the user.created routing key. Two Celery tasks should be trigged by this message, namely send_user_activate_email and check_spam . I tried implementing this by defining a user_created task with a ignore_result=True argument, plus a task for send_user_activate_email and check_spam . In my configuration, I added the following routes and queues definitions. While the message

I'm posting a data to a web-service in Celery. Sometimes, the data is not posted to web-service because of the internet is down, and the task is retried infinite times until it is posted. The retrying of the task is un-necessary because the net was down and hence its not required to re-try it again. I thought of a better solution, ie if a task fails thrice (retrying a min of 3 times), then it is shifted to another queue. This queue contains list of all failed tasks. Now when the internet is up and the data is posted over the net , ie the task has been completed from the normal queue, it then

celery 性能优化的工具。 django是单进程的，celery能够在django框架内部开辟开启一个新进程，用来处理耗时的工作。 这样的好处是，用户可以快速获得响应。 celery的4个概念 任务task：就是一个Python函数 队列queue：将需要执行的任务加入到队列中 工人worker：在一个新进程中，负责执行队列中的任务 代理人broker：负责调度，在布置环境中使用redis。类似车间的队长，安排任务分配给工人干。 celery官方文档 中文：http://docs.jinkan.org/docs/celery/ 什么时候用celery 1、耗时 2、和响应结果没关系 安装包 celery==3.1.25 celery-with-redis==3.0 django-celery==3.1.17 示例 来源： https://www.cnblogs.com/andy9468/p/11645189.html

I have some very simple periodic code using Celery's threading; it simply prints "Pre" and "Post" and sleep in between. It is adapted from this StackOverflow question and this linked website from celery.task import task from celery.task import periodic_task from django.core.cache import cache from time import sleep import main import cutout_score from threading import Lock import socket from datetime import timedelta from celery.decorators import task, periodic_task def single_instance_task(timeout): def task_exc(func): def wrapper(*args, **kwargs): lock_id = "celery-single-instance-" + func._

Below is the config im using [core] # The home folder for airflow, default is ~/airflow airflow_home = /root/airflow # The folder where your airflow pipelines live, most likely a # subfolder in a code repository dags_folder = /root/airflow/dags # The folder where airflow should store its log files. This location base_log_folder = /root/airflow/logs # An S3 location can be provided for log backups # For S3, use the full URL to the base folder (starting with "s3://...") s3_log_folder = None # The executor class that airflow should use. Choices include # SequentialExecutor, LocalExecutor,

I want to schedule a periodic task with Celery dynamically at the end of another group of task. I know how to create (static) periodic tasks with Celery: CELERYBEAT_SCHEDULE = { 'poll_actions': { 'task': 'tasks.poll_actions', 'schedule': timedelta(seconds=5) } } But I want to create periodic jobs dynamically from my tasks (and maybe have a way to stop those periodic jobs when some condition is achieved (all tasks done). Something like: @celery.task def run(ids): group(prepare.s(id) for id in ids) | execute.s(ids) | poll.s(ids, schedule=timedelta(seconds=5)) @celery.task def prepare(id): ...