APScheduler is great. I like my applications to be self-contained and
system independent. So, personally I avoid cron jobs. For a simple
single-process webapp it's fine to start out with a scheduler thread. When
your application gets more complex you could run APScheduler in a
separately managed process such as, if you are using uwsgi, a uwsgi mule.
Your example code will probably spend most of its time waiting for I/O, not
holding the GIL.
On Saturday, June 16, 2012 4:52:37 AM UTC-4, Stéphane Klein wrote:
>
> The way you
>
>> Writing separate script running as a
>> daemon won't impact performance of the web app itself in case if you are
>> up to some resource intensive tasks (which I assume you do).
>
>
> In this source code, do you think daemon can impact performance of the web
> app ?
> It's is a bad idea to start scheduler in my webapp ?
>
> Is there an issue with Global Internal Lock of Python ?
>
> from apscheduler.scheduler import Scheduler
> import requests
>
> sched = Scheduler()
>
> @sched.interval_schedule(seconds=10)
> def some_job():
> print('start')
> for a in range(1, 10):
> r = requests.get('http://www.google.fr')
> print(r.status_code)
>
> print('fin')
>
> sched.configure()
> sched.start()
>
> from wsgiref.util import setup_testing_defaults
> from wsgiref.simple_server import make_server
>
> def simple_app(environ, start_response):
> setup_testing_defaults(environ)
>
> status = '200 OK'
> headers = [('Content-type', 'text/plain')]
>
> start_response(status, headers)
>
> ret = ["%s: %s\n" % (key, value)
> for key, value in environ.iteritems()]
> return ret
>
> httpd = make_server('', 8000, simple_app)
> print "Serving on port 8000..."
> httpd.serve_forever()
>
>
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