# from IPython.display import FileLinks
# from influxdb import DataFrameClient
# from pandas import DataFrame

# def report_publish(exec):
# 	client = DataFrameClient('influxsrv', 8086, 'root', 'root', 'rspengines')
# 	where = "WHERE time > " + str(exec.experiment_execution['start_time']) + 
# 						      " and time < "+str(exec.experiment_execution['start_time']) +
# 						      " and run.engine="+str(exec.experiment_execution['E'].lowers()=+
# 						      " and run.uuid="+str(exec.experiment_execution['engine_uuid'])+";"
# 	cpu_steady = client.query("SELECT value, time FROM cpu_usage_total "+ where, database='rspengines')
	
# 	cpu_steady['cpu_usage_total'].to_csv('./data/cpu_usage_total.csv',columns = ["", "value"], sep=",")

# 	memory_steady = client.query("SELECT value, time FROM memory_usage "+ where, database='rspengines')
	
# 	memory_steady['memory_usage'].to_csv('./data/cpu_usage_total.csv',columns = ["", "value"], sep=",")

# 	FileLinks('./data')