Comments (5)
It is not clear at what time you are adding the other jobs, if you could send me a small example to reproduce this issue it would be better.
But even so, this issue seems to be related to APScheduler library, you should open an issue in their bitbucket page.
https://bitbucket.org/agronholm/apscheduler
Cheers!
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Has to be because the use of https://pypi.python.org/pypi/pySmartDL/ in my downloader_job job.
Although I'm creating a pySmartDL downloader object with blocking=true, it's still creating future.concurrent pools (ThreadPoolExecutor) to download concurrently with multiple connections, which is a must for my application. I have to find some way to cope with that (gevent monkey patching doesn't do the trick).
from flask-apscheduler.
Did you find some way to solve this issue?
from flask-apscheduler.
No unfortunately not. You can have a peek in my code if you want. https://github.com/piejanssens/premiumizer
from flask-apscheduler.
I will close it for now, this issue doesn't seem to be related to flask-apscheduler.
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