using celery with SQS in flask app
(在烧瓶应用程序中将芹菜与SQS一起使用)
but celery is receiving same task twice with same task id at same time ,
(但芹菜同时收到两次具有相同任务ID的任务 ,)
running worker like this,
(这样的工人)
celery worker -A app.jobs.run -l info --pidfile=/var/run/celery/celery.pid --logfile=/var/log/celery/celery.log --time-limit=7200 --concurrency=8
here are the logs of celery
(这是芹菜的原木)
[2019-11-29 08:07:35,464: INFO/MainProcess] Received task: app.jobs.booking.bookFlightTask[657985d5-c3a3-438d-a524-dbb129529443]
[2019-11-29 08:07:35,465: INFO/MainProcess] Received task: app.jobs.booking.bookFlightTask[657985d5-c3a3-438d-a524-dbb129529443]
[2019-11-29 08:07:35,471: WARNING/ForkPoolWorker-4] in booking funtion1
[2019-11-29 08:07:35,473: WARNING/ForkPoolWorker-3] in booking funtion1
[2019-11-29 08:07:35,537: WARNING/ForkPoolWorker-3] book_request_pp
[2019-11-29 08:07:35,543: WARNING/ForkPoolWorker-4] book_request_pp
both are running simultaneously,
(两者同时运行)
using celery==4.4.0rc4 , boto3==1.9.232, kombu==4.6.6 with SQS in pyhton flask.
(使用pyhton烧瓶中的SQS使用celery == 4.4.0rc4,boto3 == 1.9.232,kombu == 4.6.6。)
In SQS, Default Visibility Timeout is 30 minutes, and my task is not having ETA and not ack
(在SQS中,默认可见性超时为30分钟,我的任务是没有ETA且没有确认)
my task.py
(我的task.py)
from app import app as flask_app
from app.jobs.run import capp
from flask_sqlalchemy import SQLAlchemy
db = SQLAlchemy(flask_app)
class BookingTasks:
def addBookingToTask(self):
request_data = request.json
print ('in addBookingToTask',request_data['request_id'])
print (request_data)
bookFlightTask.delay(request_data)
return 'addBookingToTask added'
@capp.task(max_retries=0)
def bookFlightTask(request_data):
task_id = capp.current_task.request.id
try:
print ('in booking funtion1')
----
my config file, config.py
(我的配置文件config.py)
import os
from urllib.parse import quote_plus
aws_access_key = quote_plus(os.getenv('AWS_ACCESS_KEY'))
aws_secret_key = quote_plus(os.getenv('AWS_SECRET_KEY'))
broker_url = "sqs://{aws_access_key}:{aws_secret_key}@".format(
aws_access_key=aws_access_key, aws_secret_key=aws_secret_key,
)
imports = ('app.jobs.run',)
## Using the database to store task state and results.
result_backend = 'db' + '+' + os.getenv('SQLALCHEMY_DATABASE_URI')
and lastly my celery app file, run.py
(最后是我的芹菜应用程序文件run.py)
from __future__ import absolute_import, unicode_literals
import os
from celery import Celery
from flask import Flask
from app import app as flask_app
import sqlalchemy
capp = Celery()
capp.config_from_object('app.jobs.config')
# Optional configuration, see the capplication user guide.
capp.conf.update(
result_expires=3600,
)
# SQS_QUEUE_NAME is like 'celery_test.fifo' , .fifo is required
capp.conf.task_default_queue = os.getenv('FLIGHT_BOOKINNG_SQS_QUEUE_NAME')
if __name__ == '__main__':
capp.start()
ask by ssnitish translate from so