def check_job_status():
"""
every x minutes do this check
select
from jobs
where job_status == 'in progress'
and template_type in ('sms', 'email')
and scheduled_at or created_at is older that 30 minutes.
if any results then
raise error
process the rows in the csv that are missing (in another task) just do the check here.
"""
thirty_minutes_ago = datetime.utcnow() - timedelta(minutes=30)
thirty_five_minutes_ago = datetime.utcnow() - timedelta(minutes=35)
jobs_not_complete_after_30_minutes = Job.query.filter(
Job.job_status == JOB_STATUS_IN_PROGRESS,
and_(thirty_five_minutes_ago < Job.processing_started,
Job.processing_started < thirty_minutes_ago)).order_by(
Job.processing_started).all()
# temporarily mark them as ERROR so that they don't get picked up by future check_job_status tasks
# if they haven't been re-processed in time.
job_ids = []
for job in jobs_not_complete_after_30_minutes:
job.job_status = JOB_STATUS_ERROR
dao_update_job(job)
job_ids.append(str(job.id))
if job_ids:
current_app.logger.info(
"Job(s) {} have not completed.".format(job_ids))
process_incomplete_jobs.apply_async([job_ids], queue=QueueNames.JOBS)
def check_job_status():
"""
every x minutes do this check
select
from jobs
where job_status == 'in progress'
and processing started between 30 and 35 minutes ago
OR where the job_status == 'pending'
and the job scheduled_for timestamp is between 30 and 35 minutes ago.
if any results then
update the job_status to 'error'
process the rows in the csv that are missing (in another task) just do the check here.
"""
thirty_minutes_ago = datetime.utcnow() - timedelta(minutes=30)
thirty_five_minutes_ago = datetime.utcnow() - timedelta(minutes=35)
incomplete_in_progress_jobs = Job.query.filter(
Job.job_status == JOB_STATUS_IN_PROGRESS,
between(Job.processing_started, thirty_five_minutes_ago, thirty_minutes_ago)
)
incomplete_pending_jobs = Job.query.filter(
Job.job_status == JOB_STATUS_PENDING,
Job.scheduled_for.isnot(None),
between(Job.scheduled_for, thirty_five_minutes_ago, thirty_minutes_ago)
)
jobs_not_complete_after_30_minutes = incomplete_in_progress_jobs.union(
incomplete_pending_jobs
).order_by(
Job.processing_started, Job.scheduled_for
).all()
# temporarily mark them as ERROR so that they don't get picked up by future check_job_status tasks
# if they haven't been re-processed in time.
job_ids = []
for job in jobs_not_complete_after_30_minutes:
job.job_status = JOB_STATUS_ERROR
dao_update_job(job)
job_ids.append(str(job.id))
if job_ids:
current_app.logger.info("Job(s) {} have not completed.".format(job_ids))
process_incomplete_jobs.apply_async(
[job_ids],
queue=QueueNames.JOBS
)