def setUpClass(cls):
super().setUpClass()
mb_factories.MeetboutFactory(
id=123456,
bouwbloknummer='AB10'
)
mb_factories.MeetboutFactory(
id=123451,
bouwbloknummer='AB10'
)
mb_factories.MeetboutFactory(
id=12346,
bouwbloknummer='AB11'
)
batch.execute(
datasets.meetbouten.batch.IndexMeetboutenJob())
def handle(self, *args, **options):
dataset = options['dataset']
for ds in dataset:
if ds not in self.indexes.keys():
self.stderr.write("Unkown dataset: {}".format(ds))
return
sets = [ds for ds in self.ordered if ds in dataset] # enforce order
self.stdout.write("Working on {}".format(", ".join(sets)))
if options['batch_size'] > 0:
settings.BATCH_SETTINGS['batch_size'] = options['batch_size']
for ds in sets:
if options['backup_indexes_es']:
for job_class in self.backup_indexes[ds]:
batch.execute(job_class())
# we do not run the other tasks
continue # to next dataset please..
if options['restore_indexes_es']:
for job_class in self.restore_indexes[ds]:
batch.execute(job_class())
# we do not run the other tasks
continue # to next dataset please..
if options['build_index']:
for job_class in self.indexes[ds]:
batch.execute(job_class())
