data-maker/pipeline.py

#!/usr/bin/env python3
		df = pd.read_gbq(SQL,credentials=credentials,dialect='standard')
			for b in bounds :
				part_index = bounds.index(b)
				ubound = int(b.right)
				
					
				_data =  df.iloc[lbound:ubound][args['columns']]
				lbound = ubound
				
				# _args['logs'] = os.sep.join([log_folder,str(part_index)])
				_args['partition'] = str(part_index)
				_args['logger'] = {'args':{'dbname':'aou','doc':args['context']},'type':'mongo.MongoWriter'}
		pass
		base_cols = list(set(_args['data'].columns) - set(args['columns']))	#-- rebuilt the dataset (and store it)
		
		for name in cols :
			_args['data'][name] = _dc[name]
			info = {"module":"generate","action":"io","input":{"rows":_dc[name].shape[0],"name":name}}
			if partition != '' :
				info['partition'] = partition
			logger.write(info)
			# filename = os.sep.join([log_folder,'output',name+'.csv'])
			# data_comp[[name]].to_csv(filename,index=False)

		#
		#-- Let us store all of this into bigquery
		prefix = args['notify']+'.'+_args['context']
		table = '_'.join([prefix,partition,'io']).replace('__','_')
		folder = os.sep.join([args['logs'],args['context'],partition,'output']) 
		if 'file' in args :
			
			_fname = os.sep.join([folder,table.replace('_io','_full_io.csv')])
			_pname = os.sep.join([folder,table])+'.csv'
			data_comp.to_csv( _pname,index=False)
			_args['data'].to_csv(_fname,index=False)
			
			
		else:
			credentials = service_account.Credentials.from_service_account_file('/home/steve/dev/aou/accounts/curation-prod.json')
			_pname = os.sep.join([folder,table+'.csv'])
			_fname = table.replace('_io','_full_io')
			data_comp.to_gbq(if_exists='replace',destination_table=_pname,credentials='credentials',chunk_size=50000)	
			data_comp.to_csv(_pname,index=False)
			INSERT_FLAG = 'replace' if 'partition' not in args else 'append'	
			_args['data'].to_gbq(if_exists=INSERT_FLAG,destination_table=_fname,credentials='credentials',chunk_size=50000)
		
		info = {"full":{"path":_fname,"rows":_args['data'].shape[0]},"compare":{"name":_pname,"rows":data_comp.shape[0]} }
		if partition :
			info ['partition'] = partition
		logger.write({"module":"generate","action":"write","info":info} )
	@staticmethod
	def callback(channel,method,header,stream):
		
		info = json.loads(stream)
		logger = factory.instance(type='mongo.MongoWriter',args={'dbname':'aou','doc':SYS_ARGS['context']})
		
		logger.write({'module':'process','action':'read-partition','input':info['info']})
		df = pd.DataFrame(info['data'])
		args = info['args']
		args['reader'] = reader
		# Components.train(**args)