Develop Reference

How to execute test case in telenium in the order I have defined

I am using telenium to automate the test of kivy application.
https://github.com/tito/telenium/blob/master/README.md
def enable_server():
def start_server():
os.system('python server.py')
t1 = threading.Thread(target=start_server, daemon=True)
t1.start()
My Skeleton of the telenium testcases looks like this.
class UITestCase(TeleniumTestCase):
cmd_entrypoint = [" main.py"]
def first_test(self):
"""code to test"""
def second_test(self):
enable_server()
"""code to test"""
def third_test(self):
enable_server()
"""code to test"""
Since two of tests need the enable_server() the application does not execute the third_test completely and fails. I am not sure why this is happening.
Error:
Traceback (most recent call last):
File "node_sim.py", line 63, in <module>
loop.run_until_complete(start_server)
File "/home/user/.pyenv/versions/3.7.3/lib/python3.7/asyncio/base_events.py", line 584, in run_until_complete
return future.result()
File "/home/user/.pyenv/versions/3.7.3/lib/python3.7/asyncio/tasks.py", line 603, in _wrap_awaitable
return (yield from awaitable.__await__())
File "/home/user/.pyenv/versions/3.7.3/lib/python3.7/site-packages/websockets/legacy/server.py", line 1071, in __await_impl__
server = await self._create_server()
File "/home/user/.pyenv/versions/3.7.3/lib/python3.7/asyncio/base_events.py", line 1378, in create_server
% (sa, err.strerror.lower())) from None
OSError: [Errno 98] error while attempting to bind on address ('0.0.0.0', 5000): address already in use

You should put enable_server in init method. It will run before every UITestCase.
Each new TeleniumTestCase will close and start the application, so you always run from a clean app. If you always need to do something before starting the test, you can overload the init. This will be executed once before any tests in the class starts:
doc

Celery + Azure Service Bus (Broker) = claim is empty or token is invalid

I am trying to use Azure Service Bus as the broker for my celery app.
I have patched the solution by referring to various sources.
The goal is to use Azure Service Bus as the broker and PostgresSQL as the backend.
I created an Azure Service Bus and copied the credentials for the RootManageSharedAccessKey to the celery app.
Following is the task.py
from time import sleep
from celery import Celery
from kombu.utils.url import safequote
SAS_policy = safequote("RootManageSharedAccessKey") #SAS Policy
SAS_key = safequote("1234222zUY28tRUtp+A2YoHmDYcABCD") #Primary key from the previous SS
namespace = safequote("bluenode-dev")
app = Celery('tasks', backend='db+postgresql://afsan.gujarati:admin#localhost/local_dev',
broker=f'azureservicebus://{SAS_policy}:{SAS_key}=#{namespace}')
#app.task
def divide(x, y):
sleep(30)
return x/y
When I try to run the Celery app using the following command:
celery -A tasks worker --loglevel=INFO
I get the following error
[2020-10-09 14:00:32,035: CRITICAL/MainProcess] Unrecoverable error: AzureHttpError('Unauthorized\n<Error><Code>401</Code><Detail>claim is empty or token is invalid. TrackingId:295f7c76-770e-40cc-8489-e0eb56248b09_G5S1, SystemTracker:bluenode-dev.servicebus.windows.net:$Resources/Queues, Timestamp:2020-10-09T20:00:31</Detail></Error>')
Traceback (most recent call last):
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/kombu/transport/virtual/base.py", line 918, in create_channel
return self._avail_channels.pop()
IndexError: pop from empty list
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/azure/servicebus/control_client/servicebusservice.py", line 1225, in _perform_request
resp = self._filter(request)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/azure/servicebus/control_client/_http/httpclient.py", line 211, in perform_request
raise HTTPError(status, message, respheaders, respbody)
azure.servicebus.control_client._http.HTTPError: Unauthorized
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/celery/worker/worker.py", line 203, in start
self.blueprint.start(self)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/celery/bootsteps.py", line 116, in start
step.start(parent)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/celery/bootsteps.py", line 365, in start
return self.obj.start()
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/celery/worker/consumer/consumer.py", line 311, in start
blueprint.start(self)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/celery/bootsteps.py", line 116, in start
step.start(parent)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/celery/worker/consumer/connection.py", line 21, in start
c.connection = c.connect()
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/celery/worker/consumer/consumer.py", line 398, in connect
conn = self.connection_for_read(heartbeat=self.amqheartbeat)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/celery/worker/consumer/consumer.py", line 404, in connection_for_read
return self.ensure_connected(
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/celery/worker/consumer/consumer.py", line 430, in ensure_connected
conn = conn.ensure_connection(
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/kombu/connection.py", line 383, in ensure_connection
self._ensure_connection(*args, **kwargs)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/kombu/connection.py", line 435, in _ensure_connection
return retry_over_time(
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/kombu/utils/functional.py", line 325, in retry_over_time
return fun(*args, **kwargs)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/kombu/connection.py", line 866, in _connection_factory
self._connection = self._establish_connection()
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/kombu/connection.py", line 801, in _establish_connection
conn = self.transport.establish_connection()
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/kombu/transport/virtual/base.py", line 938, in establish_connection
self._avail_channels.append(self.create_channel(self))
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/kombu/transport/virtual/base.py", line 920, in create_channel
channel = self.Channel(connection)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/kombu/transport/azureservicebus.py", line 64, in __init__
for queue in self.queue_service.list_queues():
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/azure/servicebus/control_client/servicebusservice.py", line 313, in list_queues
response = self._perform_request(request)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/azure/servicebus/control_client/servicebusservice.py", line 1227, in _perform_request
return _service_bus_error_handler(ex)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/azure/servicebus/control_client/_serialization.py", line 569, in _service_bus_error_handler
return _general_error_handler(http_error)
File "/Users/afsan.gujarati/.pyenv/versions/3.8.1/envs/celery-servicebus/lib/python3.8/site-packages/azure/servicebus/control_client/_common_error.py", line 41, in _general_error_handler
raise AzureHttpError(message, http_error.status)
azure.common.AzureHttpError: Unauthorized
<Error><Code>401</Code><Detail>claim is empty or token is invalid. TrackingId:295f7c76-770e-40cc-8489-e0eb56248b09_G5S1, SystemTracker:bluenode-dev.servicebus.windows.net:$Resources/Queues, Timestamp:2020-10-09T20:00:31</Detail></Error>
I don't see a straight solution for this anywhere. What am I missing?
P.S. I did not create the Queue in Azure Service Bus. I am assuming that celery would create the Queue by itself when the celery app is executed.
P.S.S. I also tried to use the exact same credentials in Python's Service Bus Client and it seemed to work. It feels like a Celery issue, but I am not able to figure out exactly what.

If you want to use Azure Service Bus Transport to connect Azure service bus, the URL should be azureservicebus://{SAS policy name}:{SAS key}#{Service Bus Namespace}.
For example
Get Shared access policies RootManageSharedAccessKey
Code
from celery import Celery
from kombu.utils.url import safequote
SAS_policy = "RootManageSharedAccessKey" # SAS Policy
# Primary key from the previous SS
SAS_key = safequote("X/*****qyY=")
namespace = "bowman1012"
app = Celery('tasks', backend='db+postgresql://<>#localhost/<>',
broker=f'azureservicebus://{SAS_policy}:{SAS_key}#{namespace}')
#app.task
def add(x, y):
return x + y

Unable to use distribute LocalCluster in subprocess in python 3

I get an error when using distribute's LocalCluster in a subprocess with python 3 (python 2 works fine). I have the following minimal example (I am using python 3.6, distributed 1.23.3, tornado 5.1.1):
import multiprocessing
from distributed import LocalCluster
from distributed import Client
def call_client(cluster_address):
with Client(cluster_address):
pass
def main():
cluster = LocalCluster(n_workers=2)
print(cluster.workers)
process = multiprocessing.Process(
target=call_client, args=(cluster.scheduler.address, )
)
process.start()
process.join()
if __name__ == "__main__":
main()
when executing the file I get the following error message:
user#9b97e84a3c58:/workspace$ python test.py
[<Nanny: tcp://127.0.0.1:35779, threads: 2>, <Nanny: tcp://127.0.0.1:40211, threads: 2>]
Process Process-3:
Traceback (most recent call last):
File "/usr/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
self.run()
File "/usr/lib/python3.6/multiprocessing/process.py", line 93, in run
self._target(*self._args, **self._kwargs)
File "test.py", line 10, in call_client
with Client(cluster_address):
File "/home/user/venv/lib/python3.6/site-packages/distributed/client.py", line 610, in __init__
self.start(timeout=timeout)
File "/home/user/venv/lib/python3.6/site-packages/distributed/client.py", line 733, in start
sync(self.loop, self._start, **kwargs)
File "/home/user/venv/lib/python3.6/site-packages/distributed/utils.py", line 277, in sync
six.reraise(*error[0])
File "/home/user/venv/lib/python3.6/site-packages/six.py", line 693, in reraise
raise value
File "/home/user/venv/lib/python3.6/site-packages/distributed/utils.py", line 262, in f
result[0] = yield future
File "/home/user/venv/lib/python3.6/site-packages/tornado/gen.py", line 1133, in run
value = future.result()
File "/home/user/venv/lib/python3.6/site-packages/tornado/gen.py", line 1141, in run
yielded = self.gen.throw(*exc_info)
File "/home/user/venv/lib/python3.6/site-packages/distributed/client.py", line 821, in _start
yield self._ensure_connected(timeout=timeout)
File "/home/user/venv/lib/python3.6/site-packages/tornado/gen.py", line 1133, in run
value = future.result()
File "/home/user/venv/lib/python3.6/site-packages/tornado/gen.py", line 1141, in run
yielded = self.gen.throw(*exc_info)
File "/home/user/venv/lib/python3.6/site-packages/distributed/client.py", line 862, in _ensure_connected
self._update_scheduler_info())
File "/home/user/venv/lib/python3.6/site-packages/tornado/gen.py", line 1133, in run
value = future.result()
tornado.util.TimeoutError: Timeout

Using spawn seems to work. I suspect that there is some state that does not fork nicely.
process = multiprocessing.get_context('spawn').Process(...)

Since my original problem is starting the subprocess within a flask app I can't use 'spawn' as suggested by MRocklin in the other answer. My working solution right now is that I don't call cluster = LocalCluster(n_workers=2) in the main process but also start it in a subprocess:
import sys
import multiprocessing
import signal
from functools import partial
from distributed import LocalCluster
from distributed import Client
def _stop_cluster(cluster, *args):
cluster.close()
sys.exit(0)
def _start_local_cluster(q, n_workers):
cluster = LocalCluster(n_workers=n_workers)
q.put(cluster.scheduler.address)
# shut down cluster when process is terminated
signal.signal(signal.SIGTERM, partial(_stop_cluster, cluster))
# run forever
signal.pause()
def call_client(cluster_address):
with Client(cluster_address):
print("I am working")
def main():
q = multiprocessing.Queue()
p_dask = multiprocessing.Process(target=_start_local_cluster, args=(q, 2))
p_dask.start()
cluster_address = q.get()
process = multiprocessing.Process(
target=call_client, args=(cluster_address, )
)
process.start()
process.join()
p_dask.terminate()
if __name__ == "__main__":
main()

Python Flask: RQ Worker raising KeyError because of environment variable

I'm trying to setup a redis queue and a worker to process the queue with my flask app. I'm implementing this to handle a task that sends emails. I'm a little confused because it appears that the stack trace is saying that my 'APP_SETTINGS' environment variable is not set when it is in fact set.
Prior to starting up the app, redis or the worker, I set APP_SETTINGS:
export APP_SETTINGS="project.config.DevelopmentConfig"
However, when an item gets added to the queue, here's the stack trace:
17:00:00 *** Listening on default...
17:00:59 default: project.email.sendMailInBG(<flask_mail.Message object at 0x7fc930e1c3d0>) (aacf9546-5558-4db8-9232-5f36c25d521b)
17:01:00 KeyError: 'APP_SETTINGS'
Traceback (most recent call last):
File "/home/tony/pyp-launch/venv/local/lib/python2.7/site-packages/rq/worker.py", line 588, in perform_job
rv = job.perform()
File "/home/tony/pyp-launch/venv/local/lib/python2.7/site-packages/rq/job.py", line 498, in perform
self._result = self.func(*self.args, **self.kwargs)
File "/home/tony/pyp-launch/venv/local/lib/python2.7/site-packages/rq/job.py", line 206, in func
return import_attribute(self.func_name)
File "/home/tony/pyp-launch/venv/local/lib/python2.7/site-packages/rq/utils.py", line 150, in import_attribute
module = importlib.import_module(module_name)
File "/usr/lib/python2.7/importlib/__init__.py", line 37, in import_module
__import__(name)
File "/home/tony/pyp-launch/project/__init__.py", line 24, in <module>
app.config.from_object(os.environ['APP_SETTINGS'])
File "/home/tony/pyp-launch/venv/lib/python2.7/UserDict.py", line 40, in __getitem__
raise KeyError(key)
KeyError: 'APP_SETTINGS'
Traceback (most recent call last):
File "/home/tony/pyp-launch/venv/local/lib/python2.7/site-packages/rq/worker.py", line 588, in perform_job
rv = job.perform()
File "/home/tony/pyp-launch/venv/local/lib/python2.7/site-packages/rq/job.py", line 498, in perform
self._result = self.func(*self.args, **self.kwargs)
File "/home/tony/pyp-launch/venv/local/lib/python2.7/site-packages/rq/job.py", line 206, in func
return import_attribute(self.func_name)
File "/home/tony/pyp-launch/venv/local/lib/python2.7/site-packages/rq/utils.py", line 150, in import_attribute
module = importlib.import_module(module_name)
File "/usr/lib/python2.7/importlib/__init__.py", line 37, in import_module
__import__(name)
File "/home/tony/pyp-launch/project/__init__.py", line 24, in <module>
app.config.from_object(os.environ['APP_SETTINGS'])
File "/home/tony/pyp-launch/venv/lib/python2.7/UserDict.py", line 40, in __getitem__
raise KeyError(key)
KeyError: 'APP_SETTINGS'
17:01:00 Moving job to u'failed' queue
17:01:00
17:01:00 *** Listening on default...
email.py
from flask.ext.mail import Message
from project import app, mail
from redis import Redis
from rq import use_connection, Queue
q = Queue(connection=Redis())
def send_email(to, subject, template, emailable):
if emailable==True:
msg = Message(
subject,
recipients=[to],
html=template,
sender=app.config['MAIL_DEFAULT_SENDER']
)
q.enqueue(sendMailInBG, msg)
else:
print("no email sent, emailable set to: " + str(emailable))
def sendMailInBG(msgContent):
with app.test_request_context():
mail.send(msgContent)
worker.py
import os
import redis
from rq import Worker, Queue, Connection
listen = ['default']
redis_url = os.getenv('REDISTOGO_URL', 'redis://localhost:6379')
conn = redis.from_url(redis_url)
if __name__ == '__main__':
with Connection(conn):
worker = Worker(list(map(Queue, listen)))
worker.work()
I'd really appreciate another set of eyes on this. I can't for the life of me figure out what's going on here.

Thanks to the prompting of #danidee, I discovered that the environment variables need to be defined in each terminal. Hence, APP_SETTINGS was defined for the actual app, but not for the worker.
The solution was to set APP_SETTINGS in the worker terminal.

AttributeError: 'DisabledBackend' object has no attribute '_get_task_meta_for'

I am trying to read meta info from celery task in case of timeout (if task is not finished in given time). I have 3 celery workers. When I execute tasks on 3 workers serially my timeout logic (getting meta info from redis backend) works fine. But, when I execute tasks in parallel using threads, I get error 'AttributeError: 'DisabledBackend' object has no attribute '_get_task_meta_for''.
main script.
from threading import Thread
from util.tasks import app
from celery.exceptions import TimeoutError
# from celery.task.control import revoke
from celery.result import AsyncResult
def run(cmd, workerName, async=False, timeout=9999999):
print "Executing Celery cmd: ", cmd
ret = app.send_task(workerName+'.run_cmd', args=[cmd], kwargs={}, queue=workerName)
if async:
return ret
else:
try:
return ret.get(timeout=timeout)
except TimeoutError:
task = AsyncResult(ret.task_id)
# print task.info
out = task.info['PROGRESS']
# stop_task(ret.task_id)
print 'TIMEOUT', out
return 'TIMEOUT', out
cmd = r'ping 10.10.10.10'
threads = []
# this block works
print "This block works"
run(cmd, 'MH_VTF203', timeout=10)
run(cmd, 'MH_VTF1661', timeout=10)
run(cmd, 'MH_VTF106', timeout=10)
# this block errors
print "This block erros"
for vtf in ['MH_VTF203', 'MH_VTF1661', 'MH_VTF106']:
t = Thread(target=run, args=[cmd, vtf], kwargs={'timeout': 10})
t.start()
threads.append(t)
for t in threads:
t.join()
util.tasks.py
from celery import Celery
import subprocess
app = Celery('tasks', backend='redis://', broker='redis://localhost:6379/0')
app.conf.CELERY_IGNORE_RESULT = False
app.conf.CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
#app.task()
def run_cmd(*args, **kwargs):
cmd = " ".join(args)
print "executing command :",cmd
try:
p = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
out = ""
while p.poll() is None:
l = p.stdout.readline()
print l
out += l
run_cmd.update_state(
state='PROGRESS',
meta={'PROGRESS': out}
)
l = p.stdout.read()
print l
out += l
return out
except subprocess.CalledProcessError, e:
print 'Error executing command: ', cmd
return str(e)
Output.
C:\Python27\python.exe C:/Users/mkr/Documents/work/New_RoD/testing/run.py
This block works
Executing Celery cmd: ping 10.10.10.10
TIMEOUT
Pinging 10.10.10.10 with 32 bytes of data:
Request timed out.
Request timed out.
Executing Celery cmd: ping 10.10.10.10
TIMEOUT
Pinging 10.10.10.10 with 32 bytes of data:
Request timed out.
Request timed out.
Executing Celery cmd: ping 10.10.10.10
TIMEOUT
Pinging 10.10.10.10 with 32 bytes of data:
Request timed out.
Request timed out.
This block erros
Executing Celery cmd: ping 10.10.10.10
Executing Celery cmd: ping 10.10.10.10
Executing Celery cmd: ping 10.10.10.10
Exception in thread Thread-1:
Traceback (most recent call last):
File "C:\Python27\lib\threading.py", line 810, in __bootstrap_inner
self.run()
File "C:\Python27\lib\threading.py", line 763, in run
self.__target(*self.__args, **self.__kwargs)
File "C:/Users/mkr/Documents/work/New_RoD/testing/run.py", line 18, in run
out = task.info['PROGRESS']
File "C:\Python27\lib\site-packages\celery\result.py", line 356, in result
return self._get_task_meta()['result']
File "C:\Python27\lib\site-packages\celery\result.py", line 339, in _get_task_meta
return self._maybe_set_cache(self.backend.get_task_meta(self.id))
File "C:\Python27\lib\site-packages\celery\backends\base.py", line 292, in get_task_meta
meta = self._get_task_meta_for(task_id)
AttributeError: 'DisabledBackend' object has no attribute '_get_task_meta_for'
Exception in thread Thread-2:
Traceback (most recent call last):
File "C:\Python27\lib\threading.py", line 810, in __bootstrap_inner
self.run()
File "C:\Python27\lib\threading.py", line 763, in run
self.__target(*self.__args, **self.__kwargs)
File "C:/Users/mkr/Documents/work/New_RoD/testing/run.py", line 18, in run
out = task.info['PROGRESS']
File "C:\Python27\lib\site-packages\celery\result.py", line 356, in result
return self._get_task_meta()['result']
File "C:\Python27\lib\site-packages\celery\result.py", line 339, in _get_task_meta
return self._maybe_set_cache(self.backend.get_task_meta(self.id))
File "C:\Python27\lib\site-packages\celery\backends\base.py", line 292, in get_task_meta
meta = self._get_task_meta_for(task_id)
AttributeError: 'DisabledBackend' object has no attribute '_get_task_meta_for'
Exception in thread Thread-3:
Traceback (most recent call last):
File "C:\Python27\lib\threading.py", line 810, in __bootstrap_inner
self.run()
File "C:\Python27\lib\threading.py", line 763, in run
self.__target(*self.__args, **self.__kwargs)
File "C:/Users/mkr/Documents/work/New_RoD/testing/run.py", line 18, in run
out = task.info['PROGRESS']
File "C:\Python27\lib\site-packages\celery\result.py", line 356, in result
return self._get_task_meta()['result']
File "C:\Python27\lib\site-packages\celery\result.py", line 339, in _get_task_meta
return self._maybe_set_cache(self.backend.get_task_meta(self.id))
File "C:\Python27\lib\site-packages\celery\backends\base.py", line 292, in get_task_meta
meta = self._get_task_meta_for(task_id)
AttributeError: 'DisabledBackend' object has no attribute '_get_task_meta_for'
Process finished with exit code 0

using app.AsyncResult worked for me

Works for me as suggested by https://stackoverflow.com/users/2682417/mylari in one of the comments above
celery1 = Celery('mytasks', backend='redis://localhost:6379/1', broker='redis://localhost:6379/0')
def t_status(id):
c = celery1.AsyncResult(id)
return c
Calling method:
#app.route("/tasks/<task_id>", methods=["GET"])
def get_status(task_id):
task_result = t_status(task_id)
result = {
"task_id": task_id,
"task_status": task_result.status,
"task_result": task_result.result
}
return jsonify(result), 200

Celery operations are not thread safe - you probably want to wrap the call to task.info in a lock.
Also mixing celery and threads like that is a little odd.

Try this:
from celery.result import AsyncResult
from iota_celery.app_iota import app as celery_app
AsyncResult(x, app=celery_app).revoke(terminate=True, signal='SIGKILL')

celery.AsyncResult work for me:
celery = make_celery(flask_app)
task_result = celery.AsyncResult(task_id)