Python 芹菜连接错误

我正在将一个带有芹菜的Django应用程序部署到Heroku，并且正在努力解决一个连接错误。我的AMQP提供商声称他能够访问他端的资源，而我有足够的连接。我想我的安装程序在我的特定工作进程中找到了芹菜应用程序，但未能在shell中获得正确的设置。有没有一种方法可以告诉调用任务的连接URL是什么？我的芹菜应用程序是否应该在下面检查并正确处理事情

问题调用：

$ heroku run bash
~$ python <app>/manage.py shell
>>> from <app>.management.tasks.tasks import <task>
>>> t = <task>()
>>> dt = '20140101'
>>> t.delay(dt=dt)

---

核心问题是django、Cellery和gunicorn的django_设置_模块的不同预期格式。我通过将

DJANGO\u SETTINGS\u MODULE=SETTINGS.production

更改为

DJANGO\u SETTINGS\u MODULE=.SETTINGS.production

，修复了shell broker连接，但断开了我的web和工作进程。这方面的工作Procfile规范是

web: cd <app> && gunicorn <app>.wsgi -w 1 --log-file -
worker: celery worker --app=<app> -E -Q <app>,celery --loglevel=INFO  -c 1  --workdir=<app>

web:cd&&gunicorn.wsgi-w1--日志文件-
工人：芹菜工人——app=-E-Q，芹菜——loglevel=INFO-c1——workdir=

---

web之前的cd很蠢，但很管用。

我在将Django项目部署到Tornado服务器时遇到了这个异常。 以下是部署代码：

import os
import tornado.httpserver
import tornado.ioloop
import tornado.wsgi
from django.core.wsgi import get_wsgi_application

# add this line when use celery.
# import app

def main():
    os.environ['DJANGO_SETTINGS_MODULE'] = 'myproject.settings' # path to your settings module
    application = get_wsgi_application()
    container = tornado.wsgi.WSGIContainer(application)
    http_server = tornado.httpserver.HTTPServer(container)
    http_server.listen(8888)
    tornado.ioloop.IOLoop.instance().start()

if __name__ == "__main__":
    main()

---

当我添加导入应用程序时（包含芹菜应用程序初始化文件的应用程序），一切正常。

你能检查

app.config.BROKER\u URL

？你读过吗？

CELERYD_CONCURRENCY=1
CELERY_IGNORE_RESULT=True
CELERYD_TASK_TIME_LIMIT=60
CLOUDAMQP_URL=<amqp url>
RESULT_EXPIRY_RATE=600
BROKER_CONNECTION_TIMEOUT=10
PWD=/app
DJANGO_SETTINGS_MODULE=settings.production
DJANGO_PROJECT_DIR=/app/<app>
BROKER_POOL_LIMIT=1
HOME=/app
PYTHONPATH=/app:/app/<app>:/app/<app>/<app>

web: gunicorn <app>.<app>.wsgi -w 1 --log-file -
worker: celery worker --app=<app>.<app> -E -Q <app>,celery --loglevel=INFO  -c 1  --workdir=<app>

from __future__ import absolute_import
from os import getenv
from kombu import Exchange, Queue
from django.conf import settings
from celery import Celery


app = Celery('<app>')

class Config(object):

    # List of modules to import when celery starts.
    CELERY_IMPORTS = ("<imports>",)


    BROKER_CONNECTION_RETRY = True
    API_RATE_LIMIT = getenv('API_RATE_LIMIT')
    BROKER_POOL_LIMIT = int(getenv('BROKER_POOL_LIMIT', 1))
    BROKER_URL = getenv('CLOUDAMQP_URL')
    BROKER_CONNECTION_TIMEOUT = int(getenv('BROKER_CONNECTION_TIMEOUT'))
    CELERYD_CONCURRENCY = int(getenv('CELERYD_CONCURRENCY'))


app.config_from_object(Config)

if __name__ == '__main__':
    app.start()

from __future__ import absolute_import

# This will make sure the app is always imported when
# Django starts so that shared_task will use this app.
from .celery_app import app as celery_app  # nolint

web: cd <app> && gunicorn <app>.wsgi -w 1 --log-file -
worker: celery worker --app=<app> -E -Q <app>,celery --loglevel=INFO  -c 1  --workdir=<app>

import os
import tornado.httpserver
import tornado.ioloop
import tornado.wsgi
from django.core.wsgi import get_wsgi_application

# add this line when use celery.
# import app

def main():
    os.environ['DJANGO_SETTINGS_MODULE'] = 'myproject.settings' # path to your settings module
    application = get_wsgi_application()
    container = tornado.wsgi.WSGIContainer(application)
    http_server = tornado.httpserver.HTTPServer(container)
    http_server.listen(8888)
    tornado.ioloop.IOLoop.instance().start()

if __name__ == "__main__":
    main()