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@mplewis
Last active April 23, 2024 01:12
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An implementation of Scheduler that catches jobs that fail. For use with https://github.com/dbader/schedule
import logging
from traceback import format_exc
import datetime
from schedule import Scheduler
logger = logging.getLogger('schedule')
class SafeScheduler(Scheduler):
"""
An implementation of Scheduler that catches jobs that fail, logs their
exception tracebacks as errors, optionally reschedules the jobs for their
next run time, and keeps going.
Use this to run jobs that may or may not crash without worrying about
whether other jobs will run or if they'll crash the entire script.
"""
def __init__(self, reschedule_on_failure=True):
"""
If reschedule_on_failure is True, jobs will be rescheduled for their
next run as if they had completed successfully. If False, they'll run
on the next run_pending() tick.
"""
self.reschedule_on_failure = reschedule_on_failure
super().__init__()
def _run_job(self, job):
try:
super()._run_job(job)
except Exception:
logger.error(format_exc())
job.last_run = datetime.datetime.now()
job._schedule_next_run()
#!/usr/bin/env python3
import time
from safe_schedule import SafeScheduler
def good_task_1():
print('Good Task 1')
def good_task_2():
print('Good Task 2')
def good_task_3():
print('Good Task 3')
def bad_task_1():
print('Bad Task 1')
print(1/0)
def bad_task_2():
print('Bad Task 2')
raise Exception('Something went wrong!')
scheduler = SafeScheduler()
scheduler.every(3).seconds.do(good_task_1)
scheduler.every(5).seconds.do(bad_task_1)
scheduler.every(7).seconds.do(good_task_2)
scheduler.every(8).seconds.do(bad_task_2)
scheduler.every(12).seconds.do(good_task_3)
while True:
scheduler.run_pending()
time.sleep(1)
@dumaaan
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dumaaan commented Sep 27, 2021

Hello! I have noticed that if my job keeps failing too many times, the entire process gets killed because I get queue.Full error. Any way to clear that up?

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