def schedule(self):
# Lock
with advisory_lock('task_manager_lock', wait=False) as acquired:
with transaction.atomic():
if acquired is False:
logger.debug("Not running scheduler, another task holds lock")
return
logger.debug("Starting Scheduler")
with task_manager_bulk_reschedule():
self._schedule()
def schedule(self):
# Lock
with advisory_lock('task_manager_lock', wait=False) as acquired:
with transaction.atomic():
if acquired is False:
logger.debug("Not running scheduler, another task holds lock")
return
logger.debug("Starting Scheduler")
with task_manager_bulk_reschedule():
# if sigterm due to timeout, still record metrics
signal.signal(signal.SIGTERM, self.record_aggregate_metrics_and_exit)
self._schedule()
self.record_aggregate_metrics()
logger.debug("Finishing Scheduler")
def schedule(self):
# Lock
with advisory_lock('task_manager_lock', wait=False) as acquired:
with transaction.atomic():
if acquired is False:
logger.debug("Not running scheduler, another task holds lock")
return
logger.debug("Starting Scheduler")
with task_manager_bulk_reschedule():
finished_wfjs = self._schedule()
# Operations whose queries rely on modifications made during the atomic scheduling session
for wfj in WorkflowJob.objects.filter(id__in=finished_wfjs):
wfj.send_notification_templates('succeeded' if wfj.status == 'successful' else 'failed')
