RuntimeError: Working outside of application context. This typically means that you attempted to use functionality that needed to interface with the current application objectinsome way. To solve this, set up an application context with app.app_context(). See the documentationformore information. ...
这个celery_worker.py文件有两个操作:创建一个 Flask 实例推入 Flask application context 第一个操作很简单,其实也是初始化了 celery 实例。 第二个操作看起来有些奇怪,实际上也很好理解。如果用过 Flask 就应该知道 Flask 的Application Context和Request Context. Flask 一个很重要的设计理念是:在一个 Python 进程...
To avoidRuntimeError: Working outside of application contexterrors when usingcelery_oncewithFlask, you need to make theQueueOncetask base class application context aware. If you've implemented Celery following the Flaskdocumentationyou can extend it like so. ...
它可以使用flask应用程序工厂模式，并且还可以创建带上下文的芹菜任务，而不需要使用app.app_context()。
Celery is a task queue for executing work outside a Python web application HTTP request-response cycle.
With these changes applied intasks.pyandforms.py, you’re all done refactoring! The main chunk of work to run asynchronous tasks with Django and Celery lies in the setup rather than the actual code you need to write. But does it work? Do the emails still go out, and does your Django...
My settings are as follow..I am not sure if I am supposed to change anything with regards to the backend to get it working as well..I am using django default sqlite..not really sure what 'django-db' means: WSGI_APPLICATION = 'trydjango.wsgi.application' ...
i am seeing the same issue in5.2.7and5.1.2and i can say from out side disabling gossip and mingle does not improve the situation. The connection can be stuck so that either the worker processes tasks but the control requests arenotanswered ...
* celeryd: Broadcast commands now logs with loglevel debug instead of warning.* AMQP Result Backend: Now resets cached channel if the connection is lost.* Polling results with the AMQP result backend was not working properly.* Rate limits: No longer sleeps if there are no tasks, but rather...
When I set retry to True, it should run the default number of max_retries and if not working, it should throw an exception. Actual behavior The function runs forever and blocks the process. Error Stack Trace I press ctrl+c to get the following error inforamtion: In [1]: from tasks ...