Question

我配置了我的项目，参考这个答案： How to use Flask-SQLAlchemy in a Celery task

我的extension.py文件：

import flask
from flask.ext.sqlalchemy import SQLAlchemy
from config import BaseConfig
from celery import Celery
from flask_mail import Mail
from celery.schedules import crontab


class FlaskCelery(Celery):

    def __init__(self, *args, **kwargs):

        super(FlaskCelery, self).__init__(*args, **kwargs)
        self.patch_task()

        if 'app' in kwargs:
            self.init_app(kwargs['app'])

    def patch_task(self):
        TaskBase = self.Task
        _celery = self

        class ContextTask(TaskBase):
            abstract = True

            def __call__(self, *args, **kwargs):
                if flask.has_app_context():
                    return TaskBase.__call__(self, *args, **kwargs)
                else:
                    with _celery.app.app_context():
                        return TaskBase.__call__(self, *args, **kwargs)

        self.Task = ContextTask

    def init_app(self, app):
        self.app = app
        self.config_from_object(app.config)


mail = Mail()
db = SQLAlchemy()
settings = BaseConfig()
celery = FlaskCelery()

然后在我的app_settings.py中，我创建了这个应用：

app = Flask('app', instance_relative_config=True)

配置芹菜：

celery.init_app(app)

我用python manage.py run：

运行了烧瓶项目

app.run(
        debug=settings.get('DEBUG', False),
        host=settings.get('HOST', '127.0.0.1'),
        port=settings.get('PORT', 5000)
    )

跑芹菜：

celery -A manage.celery worker --beat -l debug

芹菜日志看起来不错：

[tasks]
  . app.api.tasks.spin_file
  . app.main.tasks.send_async_email
  . celery.backend_cleanup
  . celery.chain
  ...

然后在views.py中，我称这个任务为：

send_async_email.delay(*args, **kwargs)

但是Celery正在忽略所有任务。没有任何事情发生，没有错误，没有警告。没有。我做错了什么？

编辑：当我使用此命令启动芹菜：celery -A manage.celery worker --beat -l debug

我收到以下警告：

[2015-09-21 10:04:32,220: WARNING/MainProcess] /home/.virtualenvs/myproject/local/lib/python2.7/site-packages/celery/app/control.py:36: DuplicateNodenameWarning: Received multiple replies from node name: 'name'.
Please make sure you give each node a unique nodename using the `-n` option.
  pluralize(len(dupes), 'name'), ', '.join(sorted(dupes)),

Answer 1

我不确定这会对你有所帮助，但是当我需要芹菜的时候，我在很多项目中使用这个代码：

from flask import Flask, request, jsonify as jsn
from celery import Celery
app = Flask(__name__)
app.config.update(dict(
    SECRET_KEY='blabla'
    )
)
# Celery configuration
app.config['CELERY_BROKER_URL'] = 'redis://localhost:6379/0'
app.config['CELERY_RESULT_BACKEND'] = 'database'
app.config['CELERY_RESULT_DBURI'] = 'sqlite:///temp.db'
app.config['CELERY_TRACK_STARTED'] = True
app.config['CELERY_SEND_EVENTS'] = True

# Initialize Celery
celery = Celery(app.name, broker=app.config['CELERY_BROKER_URL'])
celery.conf.update(app.config)

@celery.task
def do_something(data):

    from celery import current_task
    import os
    import subprocess
    with app.app_context():
        #run some bash script with some params in my case

然后我通过以下方式与主管一起经营芹菜：

#!/bin/bash
cd /project/location && . venv/bin/activate && celery worker -A appname.celery --loglevel=info --purge #appname is my main flask file

当然，在我的路线中，我有类似

的东西

@app.route('/someroute', methods=["POST"])
def someroute():
    result = do_something.delay(data)
    print result.id

烧瓶芹菜任务不起作用

1 个答案: