data-maker/pipeline.py

#!/usr/bin/env python3
	class KEYS :
		logger.write({"module":"bigquery","action":"read","input":{"sql":SQL}})
		if 'autopilot' in ( list(args.keys())) :
		else:
		# 	pass
			
		logger.write(_info)
		# 	args['logs'] = os.sep.join([args['logs'],str(args['partition'])])
	_approx = {}
		# 	_pname = os.sep.join([folder,table])+'.csv'
		index = f[0] if f else 0
		# 		# 	job.join()
		#
		# trainer.train(**args)