I'm losing my mind trying to find a reliable and testable way to get the number of tasks contained in a given Celery queue.
I've already read these two related discussions:
-
Note: I'm not using Django nor any other Python web framework.
But I have not been able to solve my issue using the methods described in those threads.
I'm using Redis as backend, but I would like to have a backend independent and flexible solution, especially for tests.
This is my current situation: I've defined an EnhancedCelery
class which inherits from Celery
and adds a couple of methods, specifically get_queue_size()
is the one I'm trying to properly implement/test.
The following is the code in my test case:
celery_test_app = EnhancedCelery(__name__)
# this is needed to avoid exception for ping command
# which is automatically triggered by the worker once started
celery_test_app.loader.import_module('celery.contrib.testing.tasks')
# in memory backend
celery_test_app.conf.broker_url = 'memory://'
celery_test_app.conf.result_backend = 'cache+memory://'
# We have to setup queues manually,
# since it seems that auto queue creation doesn't work in tests :(
celery_test_app.conf.task_create_missing_queues = False
celery_test_app.conf.task_default_queue = 'default'
celery_test_app.conf.task_queues = (
Queue('default', routing_key='task.#'),
Queue('queue_1', routing_key='q1'),
Queue('queue_2', routing_key='q2'),
Queue('queue_3', routing_key='q3'),
)
celery_test_app.conf.task_default_exchange = 'tasks'
celery_test_app.conf.task_default_exchange_type = 'topic'
celery_test_app.conf.task_default_routing_key = 'task.default'
celery_test_app.conf.task_routes = {
'sample_task': {
'queue': 'default',
'routing_key': 'task.default',
},
'sample_task_in_queue_1': {
'queue': 'queue_1',
'routing_key': 'q1',
},
'sample_task_in_queue_2': {
'queue': 'queue_2',
'routing_key': 'q2',
},
'sample_task_in_queue_3': {
'queue': 'queue_3',
'routing_key': 'q3',
},
}
@celery_test_app.task()
def sample_task():
return 'sample_task_result'
@celery_test_app.task(queue='queue_1')
def sample_task_in_queue_1():
return 'sample_task_in_queue_1_result'
@celery_test_app.task(queue='queue_2')
def sample_task_in_queue_2():
return 'sample_task_in_queue_2_result'
@celery_test_app.task(queue='queue_3')
def sample_task_in_queue_3():
return 'sample_task_in_queue_3_result'
class EnhancedCeleryTest(TestCase):
def test_get_queue_size_returns_expected_value(self):
def add_task(task):
task.apply_async()
with start_worker(celery_test_app):
for _ in range(7):
add_task(sample_task_in_queue_1)
for _ in range(4):
add_task(sample_task_in_queue_2)
for _ in range(2):
add_task(sample_task_in_queue_3)
self.assertEqual(celery_test_app.get_queue_size('queue_1'), 7)
self.assertEqual(celery_test_app.get_queue_size('queue_2'), 4)
self.assertEqual(celery_test_app.get_queue_size('queue_3'), 2)
Here are my attempts to implement get_queue_size()
:
-
This always returns zero (
jobs == 0
):def get_queue_size(self, queue_name: str) -> Optional[int]: with self.connection_or_acquire() as connection: channel = connection.default_channel try: name, jobs, consumers = channel.queue_declare(queue=queue_name, passive=True) return jobs except (ChannelError, NotFound): pass
-
This also always returns zero:
def get_queue_size(self, queue_name: str) -> Optional[int]: inspection = self.control.inspect() return inspection.active() # zero! # or: return inspection.scheduled() # zero! # or: return inspection.reserved() # zero!
-
This works by returning the expected number for each queue, but only in the test environment, because the
channel.queues
property does not exist when using the redis backend:def get_queue_size(self, queue_name: str) -> Optional[int]: with self.connection_or_acquire() as connection: channel = connection.default_channel if hasattr(channel, 'queues'): queue = channel.queues.get(queue_name) if queue is not None: return queue.unfinished_tasks
from Celery: how to get queue size in a reliable and testable way
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