def __unstick():
""" DO NOT call this method directly, use queue_unstick() instead. """
logging.info("Clearing stuck batch job")
logging.info("Wiping temporary records from student table")
Student.delete_all()
logging.info("Deleting batch job entity")
BatchJob.get_or_create().key.delete()
logging.info("Batch job cleared")
def __do_run():
"""
Resume a suspended batch job if it exists, or create a new one if not.
"""
logging.info("Loading batch job")
job = BatchJob.get_or_create()
config = DeploymentConfig.get_instance()
if not job.student_data_loaded:
logging.info("Loading students to DB")
load_students_to_db(config)
job.student_data_loaded = True
job.put()
# The report generation step might take awhile for large data sets,
# requeue here just in case to reset the task queue timer.
# (Because of the sorting, it has to be completed atomically)
queue()
return
if not job.reports_complete:
logging.info("Generating reports")
print_reports(config)
job.reports_complete = True
job.put()
logging.info("Cleaning up temporary records")
Student.delete_all()
logging.info("Anonymizer run complete, terminating batch job")
job.key.delete()
def test_job_put(self):
# Ensure empty starting DB
result = BatchJob().query().fetch(limit=None)
self.assertFalse(result)
# Ensure job was created
job1 = BatchJob.get_or_create()
result = BatchJob().query().fetch(limit=None)
self.assertTrue(result)
self.assertEqual(1, len(result))
# Ensure an existing job won't be recreated
job2 = BatchJob.get_or_create()
result = BatchJob().query().fetch(limit=None)
self.assertTrue(result)
self.assertEqual(1, len(result))
self.assertEqual(job1.key, job2.key)
def create_stuck_batch_job():
job = BatchJob.get_or_create()
get_dummy_student().put()