mylar/lib/apscheduler/executors/base_py3.py

42 lines
1.7 KiB
Python

import logging
import sys
from datetime import datetime, timedelta
from traceback import format_tb
from pytz import utc
from apscheduler.events import (
JobExecutionEvent, EVENT_JOB_MISSED, EVENT_JOB_ERROR, EVENT_JOB_EXECUTED)
async def run_coroutine_job(job, jobstore_alias, run_times, logger_name):
"""Coroutine version of run_job()."""
events = []
logger = logging.getLogger(logger_name)
for run_time in run_times:
# See if the job missed its run time window, and handle possible misfires accordingly
if job.misfire_grace_time is not None:
difference = datetime.now(utc) - run_time
grace_time = timedelta(seconds=job.misfire_grace_time)
if difference > grace_time:
events.append(JobExecutionEvent(EVENT_JOB_MISSED, job.id, jobstore_alias,
run_time))
logger.warning('Run time of job "%s" was missed by %s', job, difference)
continue
logger.info('Running job "%s" (scheduled at %s)', job, run_time)
try:
retval = await job.func(*job.args, **job.kwargs)
except:
exc, tb = sys.exc_info()[1:]
formatted_tb = ''.join(format_tb(tb))
events.append(JobExecutionEvent(EVENT_JOB_ERROR, job.id, jobstore_alias, run_time,
exception=exc, traceback=formatted_tb))
logger.exception('Job "%s" raised an exception', job)
else:
events.append(JobExecutionEvent(EVENT_JOB_EXECUTED, job.id, jobstore_alias, run_time,
retval=retval))
logger.info('Job "%s" executed successfully', job)
return events