def par1():
scheduler = Scheduler()
scheduler.schedule()
# loop forever
scheduler.loopForever()
log.info("Stopping pi contoller")
if __name__ == '__main__':
log = setupLogging()
log.info("Starting pi controller")
config = getConfig()
log.info("Using config : " + str(config))
# connect to aws iot
plantMQTTClient = setupIotClient(config)
log.info("IOT client connected sucessfully!")
# Connect to db
dbmanager = DBManager(config)
# Set driver
driver = None
if not debug:
from device.driver import Driver
driver = Driver(config)
# Global scheduler object
scheduler = Scheduler(debug, config, dbmanager, driver)
main()
def setUp(self):
self.scheduler = Scheduler()
def schedule():
from schedule.scheduler import Scheduler
s = Scheduler()
s.run()
'Job',
'ScheduleError',
'ScheduleValueError',
'CancelJob',
'Scheduler']
if sys.version_info >= (3, 5, 0):
from schedule.async_scheduler import AsyncScheduler
__all__ += ['AsyncScheduler']
# The following methods are shortcuts for not having to
# create a Scheduler instance:
#: Default :class:`Scheduler <Scheduler>` object
default_scheduler = Scheduler()
#: Default :class:`Jobs <Job>` list
jobs = default_scheduler.jobs # todo: should this be a copy, e.g. jobs()?
def every(interval=1):
"""Calls :meth:`every <Scheduler.every>` on the
:data:`default scheduler instance <default_scheduler>`.
"""
return default_scheduler.every(interval)
def run_pending():
"""Calls :meth:`run_pending <Scheduler.run_pending>` on the
:data:`default scheduler instance <default_scheduler>`.
