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'])
		# partition = str(partition)
	if index.isnumeric() :
		# 		# 	job.join()