我在django项目中使用带有redis的Celery。我试图从我的celery_app延迟10秒调用expire函数。每当函数执行时,页面只是说localhost没有响应。我认为是因为我的后端无法正常工作?有人可以帮忙吗? 附:如果我用结果
删除2行,则get方法有效celery_app.py
from __future__ import absolute_import
import os
from celery import Celery
from django.conf import settings
from celery.schedules import crontab
# set the default Django settings module for the 'celery' program.
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'IrisOnline.settings')
app = Celery('IrisOnline', broker='redis://localhost:6379/0',backend="redis://localhost:6379/0",include=[
"IrisOnline.tasks",
"order_management.tasks"
])
app.conf.update(
task_serializer='json',
accept_content=['json'],
result_serializer='json',
timezone='Asia/Manila',
)
app.conf.beat_schedule = {
'add-every-30-seconds': {
'task': 'IrisOnline.tasks.printthis',
'schedule':(crontab(hour=13,minute=33)),
},
}
app.config_from_object('django.conf:settings')
app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)
@app.task(name="expire")
def expire():
print("object expired")
views.py
def get(request):
if "approved_cart" not in request.session or not request.session["approved_cart"]:
return redirect("/checkout/cart/")
cart = request.session["cart"]
customer = Customer.objects.get(user=request.user)
order = Order.objects.create(customer=customer)
result = expire.apply_async(countdown=40) #these causes the errors
result.get()
for product_id, quantity in cart.items():
# Deduct from inventory
product = Product.objects.get(id=product_id)
product.quantity -= quantity
product.save()
# Add quantity to order
OrderLineItems.objects.create(
product=Product.objects.get(id=product_id),
quantity=quantity,
parent_order=order
)
request.session["cart"] = {} # Empty cart
request.session["approved_cart"] = False
request.session.modified = True
context = make_context(request)
context["total_price"] = order.total_price
return render(request, 'purchase.html', context)
答案 0 :(得分:0)
当您致电result.get()
时,实际上等待任务完成 - 请参阅Celery documentation。
因此,在您的情况下,这将最多等待40秒,因为您设置了countdown=40
。我认为大多数浏览器等待时间超过40秒,因此这可能不是您的问题。
但是你应该问自己:如果你要在启动该任务的代码中等待它的结果,你为什么要运行一个单独的任务呢?
回到您的问题 - 错误表明您的单独任务未运行。调试此方法的一种方法是在您的设置中设置CELERY_ALWAYS_EAGER = True
。这使得任务在调用过程中立即运行。如果代码在这些条件下工作,则问题可能是您的芹菜工人没有运行。