def handle(self, *args, **options):
thresh = 0.10
qset = IntrinsicImagesDecomposition.objects.all() \
.exclude(error_comparison_thresh=thresh) \
.values_list('id', flat=True)
delete_failed_open = False
if len(args) >= 1 and args[0] == "delete-failed-open":
delete_failed_open = True
print 'delete_failed_open: %s' % delete_failed_open
qset = list(qset)
random.shuffle(qset)
chunksize = max(len(qset) / 1024, 1)
print 'Queuing tasks in chunks of %s items...' % chunksize
job = group([
evaluate_decompositions_task.subtask(kwargs={
'decomposition_ids': ids,
'delete_failed_open': delete_failed_open,
'thresh': thresh,
})
for ids in chunk_list_generator(qset, chunksize)
])
job.apply_async()
print 'Done'
def handle(self, *args, **options):
thresh = 0.10
qset = IntrinsicImagesDecomposition.objects.all() \
.exclude(error_comparison_thresh=thresh) \
.values_list('id', flat=True)
delete_failed_open = False
if len(args) >= 1 and args[0] == "delete-failed-open":
delete_failed_open = True
print 'delete_failed_open: %s' % delete_failed_open
qset = list(qset)
random.shuffle(qset)
chunksize = max(len(qset) / 1024, 1)
print 'Queuing tasks in chunks of %s items...' % chunksize
job = group([
evaluate_decompositions_task.subtask(
kwargs={
'decomposition_ids': ids,
'delete_failed_open': delete_failed_open,
'thresh': thresh,
}) for ids in chunk_list_generator(qset, chunksize)
])
job.apply_async()
print 'Done'
def compute_threshold(self, thresh):
# split task into 1024 chunks (too many subtasks causes a backlog
# error)
chunksize = len(self.decomp_ids) / 1024
print 'Queuing %s items (chunksize %s) for threshold %s...' % (
len(self.decomp_ids), chunksize, thresh)
job = group([
evaluate_decompositions_task.subtask(kwargs={
'decomposition_ids': ids,
'delete_failed_open': False,
'thresh': thresh,
})
for ids in chunk_list_generator(self.decomp_ids, chunksize)
])
result = job.apply_async()
print 'Waiting on %s subtasks with chunksize %s...' % (
len(self.decomp_ids) / chunksize, chunksize)
result.join()
def compute_threshold(self, thresh):
# split task into 1024 chunks (too many subtasks causes a backlog
# error)
chunksize = len(self.decomp_ids) / 1024
print 'Queuing %s items (chunksize %s) for threshold %s...' % (len(
self.decomp_ids), chunksize, thresh)
job = group([
evaluate_decompositions_task.subtask(
kwargs={
'decomposition_ids': ids,
'delete_failed_open': False,
'thresh': thresh,
}) for ids in chunk_list_generator(self.decomp_ids, chunksize)
])
result = job.apply_async()
print 'Waiting on %s subtasks with chunksize %s...' % (
len(self.decomp_ids) / chunksize, chunksize)
result.join()
