data-maker/pipeline.py

#!/usr/bin/env python3
	@staticmethod
		df = pd.read_gbq(SQL,credentials=credentials,dialect='standard')
		else :


				df = reader.read(sql=args['sql'],limit=args['row_limit'])

	index = SYS_ARGS['index']
		# 		job.name = 'generator # '+str(index)
		# 		job.start()
		# 		jobs.append(job)
		# 		# if len(jobs) == 1 :
		# 		# 	job.join()
		# Components.train(**args)