我真的很难为Flask,SQLAlchemy和Celery进行正确的设置。我已经广泛搜索并尝试了不同的方法,似乎没有什么工作。要么我错过了应用程序上下文,要么无法运行工作程序,或者存在其他一些问题。结构非常通用,因此我可以构建更大的应用程序。
我正在使用:Flask 0.10.1,SQLAlchemy 1.0,Celery 3.1.13,我目前的设置如下:
应用程序/ __初始化__。PY
#Empty
应用程序/ config.py
import os
basedir = os.path.abspath(os.path.dirname(__file__))
class Config:
@staticmethod
def init_app(app):
pass
class LocalConfig(Config):
DEBUG = True
SQLALCHEMY_DATABASE_URI = r"sqlite:///" + os.path.join(basedir,
"data-dev.sqlite")
CELERY_BROKER_URL = 'amqp://guest:guest@localhost:5672//'
config = {
"local": LocalConfig}
应用程序/ exstensions.py
from flask.ext.sqlalchemy import SQLAlchemy
from celery import Celery
db = SQLAlchemy()
celery = Celery()
应用程序/ factory.py
from extensions import db, celery
from flask import Flask
from flask import g
from config import config
def create_before_request(app):
def before_request():
g.db = db
return before_request
def create_app(config_name):
app = Flask(__name__)
app.config.from_object(config[config_name])
db.init_app(app)
celery.config_from_object(config)
# Register the blueprints
# Add the before request handler
app.before_request(create_before_request(app))
return app
应用程序/ manage.py
from factory import create_app
app = create_app("local")
from flask import render_template
from flask import request
@app.route('/test', methods=['POST'])
def task_simple():
import tasks
tasks.do_some_stuff.delay()
return ""
if __name__ == "__main__":
app.run()
应用程序/ models.py
from extensions import db
class User(db.Model):
__tablename__ = "user"
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(128), unique=True, nullable=False)
应用程序/ tasks.py
from extensions import celery
from celery.signals import task_prerun
from flask import g, current_app
@task_prerun.connect
def close_session(*args, **kwargs):
with current_app.app_context():
# use g.db
print g
@celery.task()
def do_some_stuff():
with current_app.app_context():
# use g.db
print g
在文件夹app中:
python.exe manage.py
celery.exe worker -A tasks
我收到一个对我没有任何意义的导入错误。 我应该以不同方式构建应用程序最后,我想我想要一个非常基本的设置,例如将Flask与工厂模式一起使用,可以使用Flask-SQLAlchmey扩展并让一些工作人员需要访问数据库。
非常感谢任何帮助。
启动芹菜工人时会执行回溯。
Traceback (most recent call last):
File "[PATH]\scripts\celery-script.py", line 9, in <module>
load_entry_point('celery==3.1.13', 'console_scripts', 'celery')()
File "[PATH]\lib\site-packages\celery\__main__.py", line 30, in main
main()
File "[PATH]\lib\site-packages\celery\bin\celery.py", line 81, in main
cmd.execute_from_commandline(argv)
File "[PATH]\lib\site-packages\celery\bin\celery.py", line 769, in execute_from_commandline
super(CeleryCommand, self).execute_from_commandline(argv)))
File "[PATH]\lib\site-packages\celery\bin\base.py", line 305, in execute_from_commandline
argv = self.setup_app_from_commandline(argv)
File "[PATH]\lib\site-packages\celery\bin\base.py", line 473, in setup_app_from_commandline
user_preload = tuple(self.app.user_options['preload'] or ())
AttributeError: 'Flask' object has no attribute 'user_options'
更新我根据评论中的建议更改了代码。工作人员现在启动,但在使用http://127.0.0.1:5000/test
的get请求进行测试时。我得到以下追溯:
Traceback (most recent call last):
File "[PATH]\lib\site-packages\celery\app\trace.py", line 230, in trace_task
args=args, kwargs=kwargs)
File "[PATH]\lib\site-packages\celery\utils\dispatch\signal.py", line 166, in send
response = receiver(signal=self, sender=sender, \**named)
File "[PATH]\app\stackoverflow\tasks.py", line 7, in close_session
with current_app.app_context():
File "[PATH]\lib\site-packages\werkzeug\local.py", line 338, in __getattr__
return getattr(self._get_current_object(), name)
File "[PATH]\lib\site-packages\werkzeug\local.py", line 297, in _get_current_object
return self.__local()
File "[PATH]\lib\site-packages\flask\globals.py", line 34, in _find_app
raise RuntimeError('working outside of application context')
RuntimeError: working outside of application context exc, exc_info.traceback)))
更新根据Marteen的评论,我更改了代码。当前的工作版本位于:https://gist.github.com/anonymous/fa47834db2f4f3b8b257。 欢迎任何进一步的改进或建议。
答案 0 :(得分:18)
我关闭了current_app的建议。
您的芹菜对象需要访问应用程序上下文。我在网上找到了一些关于使用工厂函数创建Celery对象的信息。在没有消息代理的情况下测试下面的示例。
#factory.py
from celery import Celery
from config import config
def create_celery_app(app=None):
app = app or create_app(config)
celery = Celery(__name__, broker=app.config['CELERY_BROKER_URL'])
celery.conf.update(app.config)
TaskBase = celery.Task
class ContextTask(TaskBase):
abstract = True
def __call__(self, *args, **kwargs):
with app.app_context():
return TaskBase.__call__(self, *args, **kwargs)
celery.Task = ContextTask
return celery
并在tasks.py中:
#tasks.py
from factory import create_celery_app
from celery.signals import task_prerun
from flask import g
celery = create_celery_app()
@task_prerun.connect
def celery_prerun(*args, **kwargs):
#print g
with celery.app.app_context():
# # use g.db
print g
@celery.task()
def do_some_stuff():
with celery.app.app_context():
# use g.db
g.user = "test"
print g.user
一些链接:
Flask pattern for creating a Celery instance with factory function
Application using both application factory and celery
答案 1 :(得分:2)
这是一个解决方案,它适用于烧瓶应用工厂模式,并且还可以使用上下文创建芹菜任务,而无需在任务中明确使用import java.util.*;
class Test {
static ArrayList<int[][]> list = new ArrayList<int[][]>();
public static void main(String[] args) {
int[][] array1 = new int[5][5];
array1[0][4] = 1;
list.add(array1);
array1 = new int[5][5];
array1[1][2] = 1;
list.add(array1);
printArray();
}
public static void printArray() {
for (int i = 0; i < list.size(); i++) {
printDim(list.get(i));
}
}
public static void printDim(int[][] array) {
for (int x = 0; x < array.length; x++) {
for (int y = 0; y < array[0].length; y++) {
System.out.print(array[y][x]+" ");
}
System.out.println();
}
System.out.println("--------");
}
}
。在我的应用程序中,获取该app对象同时避免循环导入是非常棘手的,但这解决了它。在撰写本文时,这也适用于最新的芹菜版本4.2。
结构:
app.app_context()
因此repo_name/
manage.py
base/
base/__init__.py
base/app.py
base/runcelery.py
base/celeryconfig.py
base/utility/celery_util.py
base/tasks/workers.py
是此示例中的主要应用程序包。在base
我们创建芹菜实例如下:
base/__init__.py
from celery import Celery
celery = Celery('base', config_source='base.celeryconfig')
文件包含烧瓶应用工厂base/app.py
并记下它包含的create_app
:
init_celery(app, celery)
转到from base import celery
from base.utility.celery_util import init_celery
def create_app(config_obj):
"""An application factory, as explained here:
http://flask.pocoo.org/docs/patterns/appfactories/.
:param config_object: The configuration object to use.
"""
app = Flask('base')
app.config.from_object(config_obj)
init_celery(app, celery=celery)
register_extensions(app)
register_blueprints(app)
register_errorhandlers(app)
register_app_context_processors(app)
return app
内容:
base/runcelery.py
接下来,from flask.helpers import get_debug_flag
from base.settings import DevConfig, ProdConfig
from base import celery
from base.app import create_app
from base.utility.celery_util import init_celery
CONFIG = DevConfig if get_debug_flag() else ProdConfig
app = create_app(CONFIG)
init_celery(app, celery)
文件(作为示例):
base/celeryconfig.py
现在在# -*- coding: utf-8 -*-
"""
Configure Celery. See the configuration guide at ->
http://docs.celeryproject.org/en/master/userguide/configuration.html#configuration
"""
## Broker settings.
broker_url = 'pyamqp://guest:guest@localhost:5672//'
broker_heartbeat=0
# List of modules to import when the Celery worker starts.
imports = ('base.tasks.workers',)
## Using the database to store task state and results.
result_backend = 'rpc'
#result_persistent = False
accept_content = ['json', 'application/text']
result_serializer = 'json'
timezone = "UTC"
# define periodic tasks / cron here
# beat_schedule = {
# 'add-every-10-seconds': {
# 'task': 'workers.add_together',
# 'schedule': 10.0,
# 'args': (16, 16)
# },
# }
文件中定义init_celery:
base/utility/celery_util.py
# -*- coding: utf-8 -*-
def init_celery(app, celery):
"""Add flask app context to celery.Task"""
TaskBase = celery.Task
class ContextTask(TaskBase):
abstract = True
def __call__(self, *args, **kwargs):
with app.app_context():
return TaskBase.__call__(self, *args, **kwargs)
celery.Task = ContextTask
中的工人:
base/tasks/workers.py
然后,您需要在from base import celery as celery_app
from flask_security.utils import config_value, send_mail
from base.bp.users.models.user_models import User
@celery_app.task
def send_welcome_email(email, user_id, confirmation_link):
"""Background task to send a welcome email with flask-security's mail.
You don't need to use with app.app_context() as Task has app context.
"""
user = User.query.filter_by(id=user_id).first()
print(f'sending user {user} a welcome email')
send_mail(config_value('EMAIL_SUBJECT_REGISTER'),
email,
'welcome', user=user,
confirmation_link=confirmation_link)
@celery_app.task
def do_some_stuff():
print(g)
文件夹中的两个不同的cmd提示中启动芹菜节拍和芹菜工作者。
在一个cmd提示符下执行repo_name
和另一个celery -A base.runcelery:celery beat
。
然后,执行需要烧瓶上下文的任务。应该工作。