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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 copy
from math import ceil
from statistics import mean
from past.utils import old_div
from rapid_log import RapidLog
from rapid_log import bcolors
from rapid_test import RapidTest
inf = float("inf")
class FlowSizeTest(RapidTest):
"""
Class to manage the flowsizetesting
"""
def __init__(self, test_param, lat_percentile, runtime, testname,
environment_file, gen_machine, sut_machine, background_machines):
super().__init__(test_param, runtime, testname, environment_file)
self.gen_machine = gen_machine
self.sut_machine = sut_machine
self.background_machines = background_machines
self.test['lat_percentile'] = lat_percentile
if self.test['test'] == 'TST009test':
# This test implements some of the testing as defined in
# https://docbox.etsi.org/ISG/NFV/open/Publications_pdf/Specs-Reports/NFV-TST%20009v3.2.1%20-%20GS%20-%20NFVI_Benchmarks.pdf
self.test['TST009_n'] = int(ceil(old_div(
self.test['maxframespersecondallingress'],
self.test['stepsize'])))
self.test['TST009'] = True
self.test['TST009_L'] = 0
self.test['TST009_R'] = self.test['TST009_n'] - 1
self.test['TST009_S']= []
for m in range(0, self.test['TST009_n']):
self.test['TST009_S'].append((m+1) * self.test['stepsize'])
elif self.test['test'] == 'fixed_rate':
for key in['drop_rate_threshold','lat_avg_threshold',
'lat_perc_threshold','lat_max_threshold','mis_ordered_threshold']:
self.test[key] = inf
def new_speed(self, speed,size,success):
if self.test['test'] == 'fixed_rate':
return (self.test['startspeed'])
elif self.test['test'] == 'increment_till_fail':
return (speed + self.test['step'])
elif 'TST009' in self.test.keys():
if success:
self.test['TST009_L'] = self.test['TST009_m'] + 1
else:
self.test['TST009_R'] = max(self.test['TST009_m'] - 1,
self.test['TST009_L'])
self.test['TST009_m'] = int (old_div((self.test['TST009_L'] +
self.test['TST009_R']),2))
return (self.get_percentageof10Gbps(self.test['TST009_S'][self.test['TST009_m']],size))
else:
if success:
self.test['minspeed'] = speed
else:
self.test['maxspeed'] = speed
return (old_div((self.test['minspeed'] + self.test['maxspeed']),2.0))
def get_start_speed_and_init(self, size):
if self.test['test'] == 'fixed_rate':
return (self.test['startspeed'])
elif self.test['test'] == 'increment_till_fail':
return (self.test['startspeed'])
elif 'TST009' in self.test.keys():
self.test['TST009_L'] = 0
self.test['TST009_R'] = self.test['TST009_n'] - 1
self.test['TST009_m'] = int(old_div((self.test['TST009_L'] +
self.test['TST009_R']), 2))
return (self.get_percentageof10Gbps(self.test['TST009_S'][self.test['TST009_m']],size))
else:
self.test['minspeed'] = 0
self.test['maxspeed'] = self.test['startspeed']
return (self.test['startspeed'])
def resolution_achieved(self):
if self.test['test'] == 'fixed_rate':
return (True)
elif 'TST009' in self.test.keys():
return (self.test['TST009_L'] == self.test['TST009_R'])
else:
return ((self.test['maxspeed'] - self.test['minspeed']) <= self.test['accuracy'])
def warm_up(self):
# Running at low speed to make sure the ARP messages can get through.
# If not doing this, the ARP message could be dropped by a switch in overload and then the test will not give proper results
# Note however that if we would run the test steps during a very long time, the ARP would expire in the switch.
# PROX will send a new ARP request every seconds so chances are very low that they will all fail to get through
imix = self.test['warmupimix']
FLOWSIZE = self.test['warmupflowsize']
WARMUPSPEED = self.test['warmupspeed']
WARMUPTIME = self.test['warmuptime']
if WARMUPTIME == 0:
RapidLog.info(("Not Warming up"))
return
RapidLog.info(("Warming up during {} seconds..., packet size = {},"
" flows = {}, speed = {}").format(WARMUPTIME, imix, FLOWSIZE,
WARMUPSPEED))
self.gen_machine.set_generator_speed(WARMUPSPEED)
self.set_background_speed(self.background_machines, WARMUPSPEED)
self.gen_machine.set_udp_packet_size(imix)
self.set_background_size(self.background_machines, imix)
if FLOWSIZE:
_ = self.gen_machine.set_flows(FLOWSIZE)
self.set_background_flows(self.background_machines, FLOWSIZE)
self.gen_machine.start()
self.start_background_traffic(self.background_machines)
time.sleep(WARMUPTIME)
self.stop_background_traffic(self.background_machines)
self.gen_machine.stop()
def run(self):
result_details = {'Details': 'Nothing'}
TestResult = 0
end_data = {}
iteration_prefix = {}
self.warm_up()
for imix in self.test['imixs']:
size = mean(imix)
self.gen_machine.set_udp_packet_size(imix)
if self.background_machines:
backgroundinfo = ('{}Running {} x background traffic not '
'represented in the table{}').format(bcolors.FLASH,
len(self.background_machines),bcolors.ENDC)
else:
backgroundinfo = '{}{}'.format(bcolors.FLASH,bcolors.ENDC)
self.set_background_size(self.background_machines, imix)
RapidLog.info('+' + '-' * 200 + '+')
RapidLog.info(("| UDP, {:>5} bytes, different number of flows by "
"randomizing SRC & DST UDP port. {:128.128}|").
format(round(size), backgroundinfo))
RapidLog.info('+' + '-' * 8 + '+' + '-' * 18 + '+' + '-' * 13 +
'+' + '-' * 13 + '+' + '-' * 13 + '+' + '-' * 24 + '+' +
'-' * 10 + '+' + '-' * 10 + '+' + '-' * 10 + '+' + '-' * 11
+ '+' + '-' * 11 + '+' + '-' * 11 + '+' + '-' * 11 + '+'
+ '-' * 7 + '+' + '-' * 11 + '+' + '-' * 4 + '+')
RapidLog.info(('| Flows | 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|Mis-ordered|Time').format(self.test['lat_percentile']*100))
RapidLog.info('+' + '-' * 8 + '+' + '-' * 18 + '+' + '-' * 13 +
'+' + '-' * 13 + '+' + '-' * 13 + '+' + '-' * 24 + '+' +
'-' * 10 + '+' + '-' * 10 + '+' + '-' * 10 + '+' + '-' * 11
+ '+' + '-' * 11 + '+' + '-' * 11 + '+' + '-' * 11 + '+'
+ '-' * 7 + '+' + '-' * 11 + '+' + '-' * 4 + '+')
for flow_number in self.test['flows']:
attempts = 0
self.gen_machine.reset_stats()
if self.sut_machine:
self.sut_machine.reset_stats()
if flow_number != 0:
flow_number = self.gen_machine.set_flows(flow_number)
self.set_background_flows(self.background_machines, flow_number)
end_data['speed'] = None
speed = self.get_start_speed_and_init(size)
while True:
attempts += 1
endwarning = False
print('{} flows: Measurement ongoing at speed: {}%'.format(
str(flow_number), str(round(speed, 2))), end=' \r')
sys.stdout.flush()
iteration_data = self.run_iteration(
float(self.test['runtime']),flow_number,size,speed)
if iteration_data['r'] > 1:
retry_warning = '{} {:1} retries needed{}'.format(
bcolors.WARNING, iteration_data['r'],
bcolors.ENDC)
else:
retry_warning = ''
# 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 = ('{} Latency accuracy issue?: {:>3.0f}%'
'{}').format(bcolors.WARNING,
iteration_data['lat_used'] * 100,
bcolors.ENDC)
else:
lat_warning = ''
iteration_prefix = {'speed' : bcolors.ENDC,
'lat_avg' : bcolors.ENDC,
'lat_perc' : bcolors.ENDC,
'lat_max' : bcolors.ENDC,
'abs_drop_rate' : bcolors.ENDC,
'mis_ordered' : bcolors.ENDC,
'drop_rate' : bcolors.ENDC}
if self.test['test'] == 'fixed_rate':
end_data = copy.deepcopy(iteration_data)
end_prefix = copy.deepcopy(iteration_prefix)
if lat_warning or retry_warning:
endwarning = '| | {:177.177} |'.format(
retry_warning + lat_warning)
success = True
# TestResult = TestResult + iteration_data['pps_rx']
# fixed rate testing result is strange: we just report
# the pps received
# The following if statement is testing if we pass the
# success criteria of a certain drop rate, average latency
# and maximum latency below the threshold.
# The drop rate success can be achieved in 2 ways: either
# the drop rate is below a treshold, either we want that no
# packet has been lost during the test.
# This can be specified by putting 0 in the .test file
elif ((iteration_data['drop_rate'] < self.test['drop_rate_threshold']) or (iteration_data['abs_dropped']==self.test['drop_rate_threshold']==0)) and (iteration_data['lat_avg']< self.test['lat_avg_threshold']) and (iteration_data['lat_perc']< self.test['lat_perc_threshold']) and (iteration_data['lat_max'] < self.test['lat_max_threshold'] and iteration_data['mis_ordered'] <= self.test['mis_ordered_threshold']):
if (old_div((self.get_pps(speed,size) - iteration_data['pps_tx']),self.get_pps(speed,size)))>0.01:
iteration_prefix['speed'] = bcolors.WARNING
if iteration_data['abs_tx_fail'] > 0:
gen_warning = bcolors.WARNING + ' Network limit?: requesting {:<.3f} Mpps and getting {:<.3f} Mpps - {} failed to be transmitted'.format(self.get_pps(speed,size), iteration_data['pps_tx'], iteration_data['abs_tx_fail']) + bcolors.ENDC
else:
gen_warning = bcolors.WARNING + ' Generator limit?: requesting {:<.3f} Mpps and getting {:<.3f} Mpps'.format(self.get_pps(speed,size), iteration_data['pps_tx']) + bcolors.ENDC
else:
iteration_prefix['speed'] = bcolors.ENDC
gen_warning = ''
end_data = copy.deepcopy(iteration_data)
end_prefix = copy.deepcopy(iteration_prefix)
if lat_warning or gen_warning or retry_warning:
endwarning = '| | {:186.186} |'.format(retry_warning + lat_warning + gen_warning)
success = True
success_message=' SUCCESS'
RapidLog.debug(self.report_result(-attempts, size,
iteration_data, iteration_prefix) + success_message +
retry_warning + lat_warning + gen_warning)
else:
success_message=' FAILED'
if ((iteration_data['abs_dropped']>0) and (self.test['drop_rate_threshold'] ==0)):
iteration_prefix['abs_drop_rate'] = bcolors.FAIL
if (iteration_data['drop_rate'] <= self.test['drop_rate_threshold']):
iteration_prefix['drop_rate'] = bcolors.ENDC
else:
iteration_prefix['drop_rate'] = bcolors.FAIL
if (iteration_data['lat_avg']< self.test['lat_avg_threshold']):
iteration_prefix['lat_avg'] = bcolors.ENDC
else:
iteration_prefix['lat_avg'] = bcolors.FAIL
if (iteration_data['lat_perc']< self.test['lat_perc_threshold']):
iteration_prefix['lat_perc'] = bcolors.ENDC
else:
iteration_prefix['lat_perc'] = bcolors.FAIL
if (iteration_data['lat_max']< self.test['lat_max_threshold']):
iteration_prefix['lat_max'] = bcolors.ENDC
else:
iteration_prefix['lat_max'] = bcolors.FAIL
if ((old_div((self.get_pps(speed,size) - iteration_data['pps_tx']),self.get_pps(speed,size)))<0.001):
iteration_prefix['speed'] = bcolors.ENDC
else:
iteration_prefix['speed'] = bcolors.FAIL
if (iteration_data['mis_ordered']< self.test['mis_ordered_threshold']):
iteration_prefix['mis_ordered'] = bcolors.ENDC
else:
iteration_prefix['mis_ordered'] = bcolors.FAIL
success = False
RapidLog.debug(self.report_result(-attempts, size,
iteration_data, iteration_prefix) +
success_message + retry_warning + lat_warning)
speed = self.new_speed(speed, size, success)
if self.test['test'] == 'increment_till_fail':
if not success:
break
elif self.resolution_achieved():
break
if end_data['speed'] is None:
end_data = iteration_data
end_prefix = iteration_prefix
RapidLog.info('|{:>7} | {:<177} |'.format("FAILED","Speed 0 or close to 0, data for last failed step below:"))
RapidLog.info(self.report_result(flow_number, size,
end_data, end_prefix))
if end_data['avg_bg_rate']:
tot_avg_rx_rate = end_data['pps_rx'] + (end_data['avg_bg_rate'] * len(self.background_machines))
endtotaltrafficrate = '| | Total amount of traffic received by all generators during this test: {:>4.3f} Gb/s {:7.3f} Mpps {} |'.format(RapidTest.get_speed(tot_avg_rx_rate,size) , tot_avg_rx_rate, ' '*84)
RapidLog.info (endtotaltrafficrate)
if endwarning:
RapidLog.info (endwarning)
if self.test['test'] != 'fixed_rate':
TestResult = TestResult + end_data['pps_rx']
end_data['test'] = self.test['testname']
end_data['environment_file'] = self.test['environment_file']
end_data['Flows'] = flow_number
end_data['Size'] = size
end_data['RequestedSpeed'] = RapidTest.get_pps(end_data['speed'] ,size)
result_details = self.post_data(end_data)
RapidLog.debug(result_details)
RapidLog.info('+' + '-' * 8 + '+' + '-' * 18 + '+' + '-' * 13 +
'+' + '-' * 13 + '+' + '-' * 13 + '+' + '-' * 24 + '+' +
'-' * 10 + '+' + '-' * 10 + '+' + '-' * 10 + '+' + '-' * 11
+ '+' + '-' * 11 + '+' + '-' * 11 + '+' + '-' * 11 + '+'
+ '+' + '-' * 11 + '+'
+ '-' * 7 + '+' + '-' * 4 + '+')
return (TestResult, result_details)
|
