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)