def launch_task(self, t, created_pk=None):
if created_pk:
if t.get('video_id', '') == '__pk__':
t['video_id'] = created_pk
for k, v in t.get('arguments', {}).iteritems():
if v == '__pk__':
t['arguments'][k] = created_pk
if 'video_id' in t:
v = Video.objects.get(pk=t['video_id'])
map_filters = get_map_filters(t, v)
else:
map_filters = [{}]
for f in map_filters:
args = copy.deepcopy(t.get(
'arguments', {})) # make copy so that spec isnt mutated.
if f:
if 'filters' not in args:
args['filters'] = f
else:
args['filters'].update(f)
dt = TEvent()
dt.parent_process = self.process
if 'video_id' in t:
dt.video_id = t['video_id']
dt.arguments = args
dt.queue, op = get_queue_name_and_operation(
t['operation'], t.get('arguments', {}))
dt.operation = op
dt.save()
self.task_results[dt.pk] = app.send_task(name=dt.operation,
args=[
dt.pk,
],
queue=dt.queue)
def launch_task(self, t):
for k, v in t.get('arguments', {}).iteritems():
if (type(v) is str
or type(v) is unicode) and v.startswith('__created__'):
t['arguments'][k] = self.get_created_object_pk(v)
dv = None
if t['operation'] in settings.NON_PROCESSING_TASKS:
dv = None
elif 'video_id' in t:
if t['video_id'].startswith('__created__'):
t['video_id'] = self.get_created_object_pk(t['video_id'])
dv = Video.objects.get(pk=t['video_id'])
elif 'video_selector' in t['arguments']:
dv = Video.objects.get(**t['arguments']['video_selector'])
t['video_id'] = dv.pk
if dv:
map_filters = get_map_filters(t, dv)
else:
map_filters = [{}]
# This is useful in case of perform_stream_capture where batch size is used but number of segments is unknown
if map_filters == []:
map_filters = [{}]
for f in map_filters:
args = copy.deepcopy(t.get(
'arguments', {})) # make copy so that spec isnt mutated.
if f:
if 'filters' not in args:
args['filters'] = f
else:
args['filters'].update(f)
dt = TEvent()
dt.parent_process = self.process
dt.task_group_id = t['task_group_id']
dt.parent = self.root_task
if 'video_id' in t:
dt.video_id = t['video_id']
if 'training_set_id' in t:
dt.training_set_id = t['training_set_id']
elif 'trainingset_selector' in t['arguments']:
dt.training_set_id = TrainingSet.objects.get(
**t['arguments']['trainingset_selector'])
dt.arguments = args
dt.queue, op = get_queue_name_and_operation(
t['operation'], t.get('arguments', {}))
dt.operation = op
dt.save()
self.task_results[dt.pk] = app.send_task(name=dt.operation,
args=[
dt.pk,
],
queue=dt.queue)
def launch_task(self, t, created_pk=None):
if created_pk:
if t.get('video_id', '') == '__pk__':
t['video_id'] = created_pk
for k, v in t.get('arguments', {}).iteritems():
if v == '__pk__':
t['arguments'][k] = created_pk
if 'video_id' in t:
v = Video.objects.get(pk=t['video_id'])
map_filters = get_map_filters(t, v)
else:
map_filters = [{}]
# This is useful in case of perform_stream_capture where batch size is used but number of segments is unknown
if map_filters == []:
map_filters = [{}]
for f in map_filters:
args = copy.deepcopy(t.get(
'arguments', {})) # make copy so that spec isnt mutated.
if f:
if 'filters' not in args:
args['filters'] = f
else:
args['filters'].update(f)
dt = TEvent()
dt.parent_process = self.process
dt.task_group_id = t['task_group_id']
if 'video_id' in t:
dt.video_id = t['video_id']
dt.arguments = args
dt.queue, op = get_queue_name_and_operation(
t['operation'], t.get('arguments', {}))
dt.operation = op
dt.save()
self.task_results[dt.pk] = app.send_task(name=dt.operation,
args=[
dt.pk,
],
queue=dt.queue)
