I want to use rq to run tasks on a separate worker to gather data from a measuring instrument. The end of the task will be signaled by a user pressing a button on a dash app. The problem is that the task itself does not know when to terminate since it doesn't have access to the dash app's context.
I already use meta
to pass information from the worker back to the caller but can I pass information from the caller to the worker?
Example task:
from rq import get_current_job
from time import time
def mock_measurement():
job = get_current_job()
t_start = time()
# Run the measurement
t = []
i = []
job.meta['should_stop'] = False # I want to use this tag to tell the job to stop
while not job.meta['should_stop']:
t.append(time() - t_start)
i.append(np.random.random())
job.meta['data'] = (t, i)
job.save_meta()
sleep(5)
print("Job Finished")
From the console, I can start a job as such
queue = rq.Queue('test-app', connection=Redis('localhost', 6379))
job = queue.enqueue('tasks.mock_measurement')
and I would like to be able to do this from the console to signify to the worker it can stop running:
job.meta['should_stop'] = True
job.save_meta()
job.refresh
However, while the commands above return without an error, they do not actually update the meta
dictionary.