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#!/usr/bin/python
##
## Copyright (c) 2020 Intel Corporation
##
## Licensed under the Apache License, Version 2.0 (the "License");
## you may not use this file except in compliance with the License.
## You may obtain a copy of the License at
##
##
## http://www.apache.org/licenses/LICENSE-2.0
##
## Unless required by applicable law or agreed to in writing, software
## distributed under the License is distributed on an "AS IS" BASIS,
## WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
## See the License for the specific language governing permissions and
## limitations under the License.
##
import sys
import time
import requests
from rapid_log import RapidLog
from rapid_test import RapidTest
from statistics import mean
class ImpairTest(RapidTest):
"""
Class to manage the impair testing
"""
def __init__(self, test_param, lat_percentile, runtime, testname,
environment_file, gen_machine, sut_machine):
super().__init__(test_param, runtime, testname, environment_file)
self.gen_machine = gen_machine
self.sut_machine = sut_machine
self.test['lat_percentile'] = lat_percentile
def run(self):
result_details = {'Details': 'Nothing'}
imix = self.test['imix']
size = mean (imix)
flow_number = self.test['flowsize']
attempts = 0
self.gen_machine.set_udp_packet_size(imix)
flow_number = self.gen_machine.set_flows(flow_number)
self.gen_machine.start_latency_cores()
RapidLog.info("+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+")
RapidLog.info("| Generator is sending UDP ({:>5} flow) packets ({:>5} bytes) to SUT via GW dropping and delaying packets. SUT sends packets back. Use ctrl-c to stop the test |".format(flow_number,round(size)))
RapidLog.info("+--------+------------------+-------------+-------------+-------------+------------------------+----------+----------+----------+-----------+-----------+-----------+-----------+-------+----+")
RapidLog.info('| Test | Speed requested | Gen by core | Sent by NIC | Fwrd by SUT | Rec. by core | Avg. Lat.|{:.0f} Pcentil| Max. Lat.| Sent | Received | Lost | Total Lost|L.Ratio|Time|'.format(self.test['lat_percentile']*100))
RapidLog.info("+--------+------------------+-------------+-------------+-------------+------------------------+----------+----------+----------+-----------+-----------+-----------+-----------+-------+----+")
speed = self.test['startspeed']
self.gen_machine.set_generator_speed(speed)
while True:
attempts += 1
print('Measurement ongoing at speed: ' + str(round(speed,2)) + '% ',end='\r')
sys.stdout.flush()
time.sleep(1)
# Get statistics now that the generation is stable and NO ARP messages any more
iteration_data = self.run_iteration(float(self.test['runtime']),flow_number,size,speed)
iteration_data['speed'] = speed
# Drop rate is expressed in percentage. lat_used is a ratio (0 to 1). The sum of these 2 should be 100%.
# If the sum is lower than 95, it means that more than 5% of the latency measurements where dropped for accuracy reasons.
if (iteration_data['drop_rate'] + iteration_data['lat_used'] * 100) < 95:
lat_warning = bcolors.WARNING + ' Latency accuracy issue?: {:>3.0f}%'.format(iteration_data['lat_used']*100) + bcolors.ENDC
else:
lat_warning = ''
iteration_prefix = {'speed' : '',
'lat_avg' : '',
'lat_perc' : '',
'lat_max' : '',
'abs_drop_rate' : '',
'drop_rate' : ''}
RapidLog.info(self.report_result(attempts, size, iteration_data,
iteration_prefix))
result_details = {'test': self.test['test'],
'environment_file': self.test['environment_file'],
'Flows': flow_number,
'Size': size,
'RequestedSpeed': RapidTest.get_pps(speed,size),
'CoreGenerated': iteration_data['pps_req_tx'],
'SentByNIC': iteration_data['pps_tx'],
'FwdBySUT': iteration_data['pps_sut_tx'],
'RevByCore': iteration_data['pps_rx'],
'AvgLatency': iteration_data['lat_avg'],
'PCTLatency': iteration_data['lat_perc'],
'MaxLatency': iteration_data['lat_max'],
'PacketsLost': iteration_data['abs_dropped'],
'DropRate': iteration_data['drop_rate'],
'bucket_size': iteration_data['bucket_size'],
'buckets': iteration_data['buckets']}
result_details = self.post_data('rapid_impairtest', result_details)
self.gen_machine.stop_latency_cores()
return (True, result_details)
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