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#!/usr/bin/python
##
## Copyright (c) 2010-2020 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 time
from past.utils import old_div
from rapid_log import RapidLog
from rapid_log import bcolors
class RapidTest(object):
"""
Class to manage the flowsizetesting
"""
@staticmethod
def get_percentageof10Gbps(pps_speed,size):
# speed is given in pps, returning % of 10Gb/s
return (pps_speed / 1000000.0 * 0.08 * (size+28))
@staticmethod
def get_pps(speed,size):
# speed is given in % of 10Gb/s, returning Mpps
return (speed * 100.0 / (8*(size+28)))
@staticmethod
def get_speed(packet_speed,size):
# return speed in Gb/s
return (packet_speed / 1000.0 * (8*(size+28)))
@staticmethod
def set_background_flows(background_machines, number_of_flows):
for machine in background_machines:
machine.set_flows(number_of_flows)
@staticmethod
def set_background_speed(background_machines, speed):
for machine in background_machines:
machine.set_generator_speed(speed)
@staticmethod
def set_background_size(background_machines, size):
for machine in background_machines:
machine.set_udp_packet_size(size)
@staticmethod
def start_background_traffic(background_machines):
for machine in background_machines:
machine.start()
@staticmethod
def stop_background_traffic(background_machines):
for machine in background_machines:
machine.stop()
@staticmethod
def report_result(flow_number, size, speed, pps_req_tx, pps_tx, pps_sut_tx,
pps_rx, lat_avg, lat_perc, lat_perc_max, lat_max, tx, rx, tot_drop,
elapsed_time,speed_prefix='', lat_avg_prefix='', lat_perc_prefix='',
lat_max_prefix='', abs_drop_rate_prefix='', drop_rate_prefix=''):
if flow_number < 0:
flow_number_str = '| ({:>4}) |'.format(abs(flow_number))
else:
flow_number_str = '|{:>7} |'.format(flow_number)
if pps_req_tx is None:
pps_req_tx_str = '{0: >14}'.format(' NA |')
else:
pps_req_tx_str = '{:>7.3f} Mpps |'.format(pps_req_tx)
if pps_tx is None:
pps_tx_str = '{0: >14}'.format(' NA |')
else:
pps_tx_str = '{:>7.3f} Mpps |'.format(pps_tx)
if pps_sut_tx is None:
pps_sut_tx_str = '{0: >14}'.format(' NA |')
else:
pps_sut_tx_str = '{:>7.3f} Mpps |'.format(pps_sut_tx)
if pps_rx is None:
pps_rx_str = '{0: >25}'.format('NA |')
else:
pps_rx_str = bcolors.OKBLUE + '{:>4.1f} Gb/s |{:7.3f} Mpps {}|'.format(RapidTest.get_speed(pps_rx,size),pps_rx,bcolors.ENDC)
if tot_drop is None:
tot_drop_str = ' | NA | '
else:
tot_drop_str = ' | {:>9.0f} | '.format(tot_drop)
if lat_perc is None:
lat_perc_str = ' |{:^10.10}|'.format('NA')
elif lat_perc_max == True:
lat_perc_str = '|>{}{:>5.0f} us{} |'.format(lat_perc_prefix,float(lat_perc), bcolors.ENDC)
else:
lat_perc_str = '| {}{:>5.0f} us{} |'.format(lat_perc_prefix,float(lat_perc), bcolors.ENDC)
if elapsed_time is None:
elapsed_time_str = ' NA |'
else:
elapsed_time_str = '{:>3.0f} |'.format(elapsed_time)
return(flow_number_str + '{:>5.1f}'.format(speed) + '% '+speed_prefix +'{:>6.3f}'.format(RapidTest.get_pps(speed,size)) + ' Mpps|'+ pps_req_tx_str + pps_tx_str + bcolors.ENDC + pps_sut_tx_str + pps_rx_str +lat_avg_prefix+ ' {:>6.0f}'.format(lat_avg)+' us'+lat_perc_str+lat_max_prefix+'{:>6.0f}'.format(lat_max)+' us | ' + '{:>9.0f}'.format(tx) + ' | {:>9.0f}'.format(rx) + ' | '+ abs_drop_rate_prefix+ '{:>9.0f}'.format(tx-rx) + tot_drop_str +drop_rate_prefix+ '{:>5.2f}'.format(old_div(float(tx-rx),tx)) +bcolors.ENDC+' |' + elapsed_time_str)
def run_iteration(self, requested_duration, flow_number, size, speed):
BUCKET_SIZE_EXP = self.gen_machine.bucket_size_exp
LAT_PERCENTILE = self.test['lat_percentile']
r = 0;
sleep_time = 2
while (r < self.test['maxr']):
time.sleep(sleep_time)
# Sleep_time is needed to be able to do accurate measurements to check for packet loss. We need to make this time large enough so that we do not take the first measurement while some packets from the previous tests migth still be in flight
t1_rx, t1_non_dp_rx, t1_tx, t1_non_dp_tx, t1_drop, t1_tx_fail, t1_tsc, abs_tsc_hz = self.gen_machine.core_stats()
t1_dp_rx = t1_rx - t1_non_dp_rx
t1_dp_tx = t1_tx - t1_non_dp_tx
self.gen_machine.start_gen_cores()
time.sleep(2) ## Needs to be 2 seconds since this 1 sec is the time that PROX uses to refresh the stats. Note that this can be changed in PROX!! Don't do it.
if self.sut_machine!= None:
t2_sut_rx, t2_sut_non_dp_rx, t2_sut_tx, t2_sut_non_dp_tx, t2_sut_drop, t2_sut_tx_fail, t2_sut_tsc, sut_tsc_hz = self.sut_machine.core_stats()
t2_rx, t2_non_dp_rx, t2_tx, t2_non_dp_tx, t2_drop, t2_tx_fail, t2_tsc, tsc_hz = self.gen_machine.core_stats()
tx = t2_tx - t1_tx
dp_tx = tx - (t2_non_dp_tx - t1_non_dp_tx )
dp_rx = t2_rx - t1_rx - (t2_non_dp_rx - t1_non_dp_rx)
tot_dp_drop = dp_tx - dp_rx
if tx == 0:
RapidLog.critical("TX = 0. Test interrupted since no packet has been sent.")
if dp_tx == 0:
RapidLog.critical("Only non-dataplane packets (e.g. ARP) sent. Test interrupted since no packet has been sent.")
# Ask PROX to calibrate the bucket size once we have a PROX function to do this.
# Measure latency statistics per second
lat_min, lat_max, lat_avg, used_avg, t2_lat_tsc, lat_hz, buckets = self.gen_machine.lat_stats()
lat_samples = sum(buckets)
sample_count = 0
for sample_percentile, bucket in enumerate(buckets,start=1):
sample_count += bucket
if sample_count > (lat_samples * LAT_PERCENTILE):
break
percentile_max = (sample_percentile == len(buckets))
sample_percentile = sample_percentile * float(2 ** BUCKET_SIZE_EXP) / (old_div(float(lat_hz),float(10**6)))
if self.test['test'] == 'fixed_rate':
RapidLog.info(self.report_result(flow_number,size,speed,None,None,None,None,lat_avg,sample_percentile,percentile_max,lat_max, dp_tx, dp_rx , None, None))
tot_rx = tot_non_dp_rx = tot_tx = tot_non_dp_tx = tot_drop = 0
lat_avg = used_avg = 0
buckets_total = [0] * 128
tot_lat_samples = 0
tot_lat_measurement_duration = float(0)
tot_core_measurement_duration = float(0)
tot_sut_core_measurement_duration = float(0)
tot_sut_rx = tot_sut_non_dp_rx = tot_sut_tx = tot_sut_non_dp_tx = tot_sut_drop = tot_sut_tx_fail = tot_sut_tsc = 0
lat_avail = core_avail = sut_avail = False
while (tot_core_measurement_duration - float(requested_duration) <= 0.1) or (tot_lat_measurement_duration - float(requested_duration) <= 0.1):
time.sleep(0.5)
lat_min_sample, lat_max_sample, lat_avg_sample, used_sample, t3_lat_tsc, lat_hz, buckets = self.gen_machine.lat_stats()
# Get statistics after some execution time
if t3_lat_tsc != t2_lat_tsc:
single_lat_measurement_duration = (t3_lat_tsc - t2_lat_tsc) * 1.0 / lat_hz # time difference between the 2 measurements, expressed in seconds.
# A second has passed in between to lat_stats requests. Hence we need to process the results
tot_lat_measurement_duration = tot_lat_measurement_duration + single_lat_measurement_duration
if lat_min > lat_min_sample:
lat_min = lat_min_sample
if lat_max < lat_max_sample:
lat_max = lat_max_sample
lat_avg = lat_avg + lat_avg_sample * single_lat_measurement_duration # Sometimes, There is more than 1 second between 2 lat_stats. Hence we will take the latest measurement
used_avg = used_avg + used_sample * single_lat_measurement_duration # and give it more weigth.
lat_samples = sum(buckets)
tot_lat_samples += lat_samples
sample_count = 0
for sample_percentile, bucket in enumerate(buckets,start=1):
sample_count += bucket
if sample_count > lat_samples * LAT_PERCENTILE:
break
percentile_max = (sample_percentile == len(buckets))
sample_percentile = sample_percentile * float(2 ** BUCKET_SIZE_EXP) / (old_div(float(lat_hz),float(10**6)))
buckets_total = [buckets_total[i] + buckets[i] for i in range(len(buckets_total))]
t2_lat_tsc = t3_lat_tsc
lat_avail = True
t3_rx, t3_non_dp_rx, t3_tx, t3_non_dp_tx, t3_drop, t3_tx_fail, t3_tsc, tsc_hz = self.gen_machine.core_stats()
if t3_tsc != t2_tsc:
single_core_measurement_duration = (t3_tsc - t2_tsc) * 1.0 / tsc_hz # time difference between the 2 measurements, expressed in seconds.
tot_core_measurement_duration = tot_core_measurement_duration + single_core_measurement_duration
delta_rx = t3_rx - t2_rx
tot_rx += delta_rx
delta_non_dp_rx = t3_non_dp_rx - t2_non_dp_rx
tot_non_dp_rx += delta_non_dp_rx
delta_tx = t3_tx - t2_tx
tot_tx += delta_tx
delta_non_dp_tx = t3_non_dp_tx - t2_non_dp_tx
tot_non_dp_tx += delta_non_dp_tx
delta_dp_tx = delta_tx -delta_non_dp_tx
delta_dp_rx = delta_rx -delta_non_dp_rx
delta_dp_drop = delta_dp_tx - delta_dp_rx
tot_dp_drop += delta_dp_drop
delta_drop = t3_drop - t2_drop
tot_drop += delta_drop
t2_rx, t2_non_dp_rx, t2_tx, t2_non_dp_tx, t2_drop, t2_tx_fail, t2_tsc = t3_rx, t3_non_dp_rx, t3_tx, t3_non_dp_tx, t3_drop, t3_tx_fail, t3_tsc
core_avail = True
if self.sut_machine!=None:
t3_sut_rx, t3_sut_non_dp_rx, t3_sut_tx, t3_sut_non_dp_tx, t3_sut_drop, t3_sut_tx_fail, t3_sut_tsc, sut_tsc_hz = self.sut_machine.core_stats()
if t3_sut_tsc != t2_sut_tsc:
single_sut_core_measurement_duration = (t3_sut_tsc - t2_sut_tsc) * 1.0 / tsc_hz # time difference between the 2 measurements, expressed in seconds.
tot_sut_core_measurement_duration = tot_sut_core_measurement_duration + single_sut_core_measurement_duration
tot_sut_rx += t3_sut_rx - t2_sut_rx
tot_sut_non_dp_rx += t3_sut_non_dp_rx - t2_sut_non_dp_rx
delta_sut_tx = t3_sut_tx - t2_sut_tx
tot_sut_tx += delta_sut_tx
delta_sut_non_dp_tx = t3_sut_non_dp_tx - t2_sut_non_dp_tx
tot_sut_non_dp_tx += delta_sut_non_dp_tx
t2_sut_rx, t2_sut_non_dp_rx, t2_sut_tx, t2_sut_non_dp_tx, t2_sut_drop, t2_sut_tx_fail, t2_sut_tsc = t3_sut_rx, t3_sut_non_dp_rx, t3_sut_tx, t3_sut_non_dp_tx, t3_sut_drop, t3_sut_tx_fail, t3_sut_tsc
sut_avail = True
if self.test['test'] == 'fixed_rate':
if lat_avail == core_avail == True:
lat_avail = core_avail = False
pps_req_tx = (delta_tx + delta_drop - delta_rx)/single_core_measurement_duration/1000000
pps_tx = delta_tx/single_core_measurement_duration/1000000
if self.sut_machine != None and sut_avail:
pps_sut_tx = delta_sut_tx/single_sut_core_measurement_duration/1000000
sut_avail = False
else:
pps_sut_tx = None
pps_rx = delta_rx/single_core_measurement_duration/1000000
RapidLog.info(self.report_result(flow_number, size,
speed, pps_req_tx, pps_tx, pps_sut_tx, pps_rx,
lat_avg_sample, sample_percentile, percentile_max,
lat_max_sample, delta_dp_tx, delta_dp_rx,
tot_dp_drop, single_core_measurement_duration))
#Stop generating
self.gen_machine.stop_gen_cores()
r += 1
lat_avg = old_div(lat_avg, float(tot_lat_measurement_duration))
used_avg = old_div(used_avg, float(tot_lat_measurement_duration))
t4_tsc = t2_tsc
while t4_tsc == t2_tsc:
t4_rx, t4_non_dp_rx, t4_tx, t4_non_dp_tx, t4_drop, t4_tx_fail, t4_tsc, abs_tsc_hz = self.gen_machine.core_stats()
if self.test['test'] == 'fixed_rate':
t4_lat_tsc = t2_lat_tsc
while t4_lat_tsc == t2_lat_tsc:
lat_min_sample, lat_max_sample, lat_avg_sample, used_sample, t4_lat_tsc, lat_hz, buckets = self.gen_machine.lat_stats()
sample_count = 0
lat_samples = sum(buckets)
for percentile, bucket in enumerate(buckets,start=1):
sample_count += bucket
if sample_count > lat_samples * LAT_PERCENTILE:
break
percentile_max = (percentile == len(buckets))
percentile = percentile * float(2 ** BUCKET_SIZE_EXP) / (old_div(float(lat_hz),float(10**6)))
lat_max = lat_max_sample
lat_avg = lat_avg_sample
delta_rx = t4_rx - t2_rx
delta_non_dp_rx = t4_non_dp_rx - t2_non_dp_rx
delta_tx = t4_tx - t2_tx
delta_non_dp_tx = t4_non_dp_tx - t2_non_dp_tx
delta_dp_tx = delta_tx -delta_non_dp_tx
delta_dp_rx = delta_rx -delta_non_dp_rx
dp_tx = delta_dp_tx
dp_rx = delta_dp_rx
tot_dp_drop += delta_dp_tx - delta_dp_rx
pps_req_tx = None
pps_tx = None
pps_sut_tx = None
pps_rx = None
drop_rate = 100.0*(dp_tx-dp_rx)/dp_tx
tot_core_measurement_duration = None
break ## Not really needed since the while loop will stop when evaluating the value of r
else:
sample_count = 0
for percentile, bucket in enumerate(buckets_total,start=1):
sample_count += bucket
if sample_count > tot_lat_samples * LAT_PERCENTILE:
break
percentile_max = (percentile == len(buckets_total))
percentile = percentile * float(2 ** BUCKET_SIZE_EXP) / (old_div(float(lat_hz),float(10**6)))
pps_req_tx = (tot_tx + tot_drop - tot_rx)/tot_core_measurement_duration/1000000.0 # tot_drop is all packets dropped by all tasks. This includes packets dropped at the generator task + packets dropped by the nop task. In steady state, this equals to the number of packets received by this VM
pps_tx = tot_tx/tot_core_measurement_duration/1000000.0 # tot_tx is all generated packets actually accepted by the interface
pps_rx = tot_rx/tot_core_measurement_duration/1000000.0 # tot_rx is all packets received by the nop task = all packets received in the gen VM
if self.sut_machine != None and sut_avail:
pps_sut_tx = tot_sut_tx / tot_sut_core_measurement_duration / 1000000.0
else:
pps_sut_tx = None
dp_tx = (t4_tx - t1_tx) - (t4_non_dp_tx - t1_non_dp_tx)
dp_rx = (t4_rx - t1_rx) - (t4_non_dp_rx - t1_non_dp_rx)
tot_dp_drop = dp_tx - dp_rx
drop_rate = 100.0*tot_dp_drop/dp_tx
if ((drop_rate < self.test['drop_rate_threshold']) or (tot_dp_drop == self.test['drop_rate_threshold'] ==0) or (tot_dp_drop > self.test['maxz'])):
break
return(pps_req_tx,pps_tx,pps_sut_tx,pps_rx,lat_avg,percentile,percentile_max,lat_max,dp_tx,dp_rx,tot_dp_drop,(t4_tx_fail - t1_tx_fail),drop_rate,lat_min,used_avg,r,tot_core_measurement_duration)
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