在Django上使用celery時，用戶未收到電子郵件

Question

我正在使用Django1.8.2，celery3.1.23和RabbitMq作為代理。 我正在使用Amazon ses發送電子郵件。 現在，當我從django shell發送電子郵件時，用戶會收到它，但是當我通過芹菜安排它時，它就會被接收。

這是項目文件：

project / src / settings / base.py （已審查）

BROKER_URL = 'amqp://'
CELERY_RESULT_BACKEND = 'rpc://'
BROKER_POOL_LIMIT = 3

CELERY_TASK_SERIALIZER = 'json'
CELERY_RESULT_SERIALIZER = 'json'
CELERY_ACCEPT_CONTENT = ['application/json']
CELERY_TIMEZONE = 'Asia/Kolkata'
CELERY_ENABLE_UTC = True
CELERY_SEND_TASK_ERROR_EMAILS = True
SERVER_EMAIL = 'abc@example.com'
ADMINS = [
        ('abc', 'abc@example.com')
]
EMAIL_BACKEND = 'django_smtp_ssl.SSLEmailBackend'
DEFAULT_FROM_EMAIL = 'abc@example.com'
EMAIL_USE_TLS = True
EMAIL_PORT = 465
EMAIL_TIMEOUT = 10
EMAIL_HOST = 'email-smtp.us-east-1.amazonaws.com'
EMAIL_HOST_USER = 'abcjdjdlasskjjdklsaj'
EMAIL_HOST_PASSWORD = 'djkashdklahsjdhasljkdhjksahdjkashdjakhdak'

項目/ src目錄/設置/ celery_app.py

from __future__ import absolute_import
import os
from celery import Celery
from django.conf import settings
from kombu import serialization
serialization.registry._decoders.pop("application/x-python-serialize")

# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'project.settings.production')
app = Celery('project')

# Using a string here means the worker will not have to
# pickle the object when using Windows.
app.config_from_object('django.conf:settings')
app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)

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

@app.task(bind=True)
def debug_task(self):
    print('Request: {0!r}'.format(self.request))

project / src / app / tasks.py

@task()
def send_mail_reminder(reminder_id):
    logger.info("Send Email")

    try:
        reminder = Reminder.objects.get(pk=reminder_id)
    except Reminder.DoesNotExist:
        return
    body = "{0}".format(reminder.message)
    try:
        send_mail("Reminder App Notification",body,settings.DEFAULT_FROM_EMAIL,[reminder.email])
        logger.info("Email Successfully send")
        return "Email Successfully send"
    except Exception as e:
        logger.info("There is some problem while sending email")
        print e
        return e

project / src / app / models.py

def schedule_reminder(self):
        """
        Schedule a celery task to send the reminder
        """
        date_time = datetime.combine(self.date,self.time)
        reminder_time = arrow.get(date_time).replace(tzinfo=self.time_zone.zone)

        from .tasks import send_sms_reminder, send_mail_reminder
        # result=''
        # result = send_sms_reminder.apply_async((self.pk,),eta=reminder_time,serializer = 'json')
        # else:
        result = send_mail_reminder.apply_async((self.pk,),eta=reminder_time, serializer = 'json')
        return result.id

def save(self, *args, **kwargs):
    """
    Now we need to do is ensure Django calls our 
    schedule_reminder method every time an Reminder object is created or updated.
    """
    # Check if we have scheduled a celery task for this reminder before
    if self.task_id:
        #Revoke that remnder if its time has changed 
        celery_app.control.revoke(self.task_id)

    # save our reminder, which populates self.pk,
    # which is used in schedule_reminder

    # Schedule a reminder task for this reminder
    self.task_id = self.schedule_reminder()

    # Save our reminder again with the task_id
    print "Args:%s,Kwargs:%s"%(args,kwargs)
    print self.task_id
    super(Reminder, self).save(*args, **kwargs)

這是芹菜日志celery.log

[tasks]
  . RemindMeLater.settings.celery_app.debug_task
  . Reminder.tasks.send_email_reminder
  . Reminder.tasks.send_mail_reminder
  . Reminder.tasks.send_sms_reminder

[2016-08-04 23:21:15,507: INFO/MainProcess] Connected to amqp://guest:**@127.0.0.1:5672//
[2016-08-04 23:21:15,520: INFO/MainProcess] mingle: searching for neighbors
[2016-08-04 23:21:16,532: INFO/MainProcess] mingle: all alone
[2016-08-04 23:21:16,546: WARNING/MainProcess] celery@Rohans-MacBook-Pro.local ready.
[2016-08-04 23:22:21,260: INFO/MainProcess] Received task: Reminder.tasks.send_mail_reminder[e45b972a-d937-4ed9-bd75-bab331b6ed47] eta:[2016-08-04 23:22:00+05:30]
[2016-08-04 23:22:21,582: INFO/Worker-2] Reminder.tasks.send_mail_reminder[e45b972a-d937-4ed9-bd75-bab331b6ed47]: Send Email
[2016-08-04 23:22:21,608: INFO/MainProcess] Task Reminder.tasks.send_mail_reminder[e45b972a-d937-4ed9-bd75-bab331b6ed47] succeeded in 0.0274002929982s: None
[2016-08-04 23:22:46,629: INFO/MainProcess] Received task: Reminder.tasks.send_mail_reminder[7b14ef7b-c123-42c8-90d8-2baf4122963a] eta:[2016-08-04 23:24:00+05:30]
[2016-08-04 23:24:00,895: INFO/Worker-3] Reminder.tasks.send_mail_reminder[7b14ef7b-c123-42c8-90d8-2baf4122963a]: Send Email
[2016-08-04 23:24:00,920: INFO/MainProcess] Task Reminder.tasks.send_mail_reminder[7b14ef7b-c123-42c8-90d8-2baf4122963a] succeeded in 0.0263162209994s: None

當我從Django shell發送電子郵件而不使用celery的時候，事情就這樣了。 當我那樣做的時候

mail_test.py

from datetime import datetime,time
from Reminder.models import Reminder
import arrow

t = time(23,35)
date = datetime.today().date()
a = Reminder.objects.create(message="Hello world",date=date,time=t,email="abc@gmail.com",completed=False)
from Reminder.tasks import send_mail_reminder

# b = send_mail_reminder(a.id)
# print "b:",b

date_time = datetime.combine(a.date,a.time)
reminder_time = arrow.get(date_time).replace(tzinfo=a.time_zone.zone)
c = send_mail_reminder.apply_async((a.id,),eta=reminder_time, serializer='json')
print "c:",c

然后在終端上執行以下命令，在芹菜中添加任務並成功執行。

./manage.py shell <mail_test.py

當我使用post_save信號時，它也按預期工作。

Answer 1

解決了 我使用post_save信號來調用任務並保存為task_id。

@receiver(post_save, sender=Reminder)
def send_email_signal(sender,instance, created, **kwargs):
    if not created:
        return
    self = instance
    date_time = datetime.combine(self.date,self.time)
    reminder_time = arrow.get(date_time).replace(tzinfo=self.time_zone.zone)

    from .tasks import send_sms_reminder, send_mail_reminder
    result = send_mail_reminder.apply_async((self.id,),eta=reminder_time, serializer = 'json')

    if result.id:
        instance.task_id = result.id
        instance.save()