aggregate-mod.py 7.79 KB
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#!/usr/bin/env python3
# vim: expandtab shiftwidth=4 softtabstop=4


#iperf -V -Z cubic -t 30 -c fdb2:f689:4248:2bc8::3 -p 12345

import argparse
import copy
import math
import os
import re
import signal
import subprocess
import tempfile
#import threading
import time

def signal_handler(signum, frame):
    clean_up()
    raise SystemExit

def testy(a,b):
    print(a)
    print(b)
    print(sender)
    return 0

def clean_up():
# Clean up
    if args.legacy:
        tcpprobe.terminate()
    if args.tcpdump == "1":
        tcpdump.terminate()
    if args.cpunetlog != "":
        cpunetlog.terminate()
    for i in sender:
#        if i['utility'].returncode == None:
            try:
                i['utility'].kill()
            except ProcessLookupError:
                pass
#        i['utility_file'].close()
    time.sleep(1)

#def parse_dir(directory):

def qsort1(list):
    """Quicksort using list comprehensions"""
    if list == []: 
        return []
    else:
        pivot = list[0]
        lesser = qsort1([x for x in list[1:] if x < pivot])
        greater = qsort1([x for x in list[1:] if x >= pivot])
        return lesser + [pivot] + greater 

def quantil(list,p):
    length = len(list)
    len_p = (length * p)-1
    if math.ceil(len_p) == len_p:
        return ((list[int(len_p)] + list[int(len_p + 1)]) / 2)
    else:
        return list[math.ceil(len_p)]
    

signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)

parser = argparse.ArgumentParser(description='Configure test environment.')

parser.add_argument('folders', nargs="*", default="./", help="Folder to search for files")
parser.add_argument('-m', '--mask', default="")

args = parser.parse_args()

mypid = os.getpid()

#print(args.folders)

#for key, folder in enumerate(args.folders):
#    args.folders[key] = os.path.abspath(folder)

args.folders = [os.path.abspath(folder) for folder in args.folders]

print(args.folders)
rtt_values_file = tempfile.TemporaryFile(mode='r+')
bw_values_file = tempfile.TemporaryFile(mode='r+')
netperf_throughput_file = tempfile.TemporaryFile(mode='r+')
netperf_retrans_file = tempfile.TemporaryFile(mode='r+')
rtt_file_lines = 0
bw_file_lines = 0

for folder in args.folders:
    for path, dirs, files in os.walk(folder):
        for file in files:
            if file[:9+len(args.mask)] == "tcpprobe_"+args.mask:
                tcpprobe_file = open(path + "/" + file)
                for line in tcpprobe_file:
                    line = line.split(" ")
                    #print(line[9])
                    rtt_values_file.write(line[9]+'\n')
                    rtt_file_lines += 1
                tcpprobe_file.close()
            elif file[:3+len(args.mask)] == "bw_"+args.mask:
                bw_file = open(path + "/" + file)
                sum_b = 0
                last_bw = (0, 0)
                for line in bw_file:
                    line = line.split(" ")
                    this_bw = (float(line[0]), float(line[3]))
                    if this_bw[0] < math.ceil(last_bw[0]):
                        sum_b+= (this_bw[0] - last_bw[0])*this_bw[1]
                    elif math.floor(this_bw[0]) - math.ceil(last_bw[0]) >= 1:
                        for i in range(math.floor(this_bw[0]) - math.ceil(last_bw[0])):
                            bw_values_file.write("0"+"\n")
                            #print(math.floor(last_bw[0])+i,0)
                            sum_b = (this_bw[0] - math.floor(this_bw[0]))*this_bw[1]
                    else:
                        sum_b += (math.ceil(last_bw[0]) - last_bw[0]) * float(line[3])
                        bw_values_file.write(str(sum_b)+"\n")
                        #print(math.floor(last_bw[0]), sum_b)
                        sum_b = (this_bw[0] - math.floor(this_bw[0]))*this_bw[1]
                    
                    last_bw = this_bw

                    #bw_values_file.write(line[3])
                    #bw_file_lines += 1
                bw_file.close()
            elif file[:8+len(args.mask)] == "netperf_"+args.mask:
                netperf_file = open(path + "/" + file)
                count = 0
                for line in netperf_file:
                    count+=1
                    if count == 6:
                        netperf_throughput_file.write(line[11:])
                    elif count == 42:
                        netperf_retrans_file.write(line[24:])
                netperf_file.close()
                

bw_values_file.seek(0)
rtt_values_file.seek(0)
netperf_throughput_file.seek(0)
netperf_retrans_file.seek(0)

def statify_list(sorted_list, n):
    avg = sum( sorted_list ) / n
    std_deviation = math.sqrt((1/(n - 1)) * sum( [ (value-avg)**2 for value in sorted_list ] ))
    q_25 = quantil(sorted_list, 0.25)
    q_75 = quantil(sorted_list, 0.75)
    iqr = q_75 - q_25
    bot = sorted_list[0]
    top = sorted_list[len(sorted_list) - 1]
    whisker_bot = bot
    for value in sorted_list:
        if value >= (q_25 - iqr*1.5):
            whisker_bot = value
            break
    whisker_top = top
    for value in reversed(sorted_list):
        if value <= (q_75 + iqr*1.5):
            whisker_top = value
            break
    
    percent_under_whisker = 0
    count = 0
    for value in sorted_list:
        if value < whisker_bot:
            count += 1
        else:
            percent_under_whisker = (count / n) * 100
            break

    count = 0
    for value in reversed(sorted_list):
        if value > whisker_top:
            count += 1
        else:
            percent_over_whisker = (count / n) * 100
            break
            
    print("Average:\t"+str(avg))
    print("Std. deviation:\t"+str(std_deviation))
    print("0.25 Quantil:\t"+str(q_25))
    print("0.75 Quantil:\t"+str(q_75))
    print("IQR:\t\t"+str(iqr))
    print("bot. whisker:\t"+str(whisker_bot))
    print("top whisker:\t"+str(whisker_top))
    print("% < whisker:\t"+str(percent_under_whisker))
    print("% > whisker:\t"+str(percent_over_whisker))

    #return list with extreme outliers removed
    for value in sorted_list:
        if value < (q_25 - iqr*3.0):
            del sorted_list[0]
        else:
            break
    for value in reversed(sorted_list):
        if value > (q_75 + iqr*3.0):
            del sorted_list[len(sorted_list)-1]
        else:
            break
    print("min. without outliers: "+str(sorted_list[0]))
    print("max. without outliers: "+str(sorted_list[len(sorted_list)-1]))
    print("Std. deviation without outliers: "+str(math.sqrt((1/(n - 1)) * sum( [ (value-avg)**2 for value in sorted_list ] ))))

    return sorted_list

sorted_bw = sorted([ float(line) for line in bw_values_file ])
sorted_rtt = sorted([ float(line) for line in rtt_values_file ])
sorted_netperf_throughput = sorted([ float(line) for line in netperf_throughput_file ])
sorted_netperf_retrans = sorted([ float(line) for line in netperf_retrans_file ])
print("Bandwidth: ")
print("=============================")
sorted_bw = statify_list(sorted_bw, len(sorted_bw))
print("")
print("Round Trip Time: ")
print("=============================")
sorted_rtt = statify_list(sorted_rtt, len(sorted_rtt))
print("")
print("Netperf Throughput: ")
print("=============================")
if len(sorted_netperf_throughput) == 1:
    sorted_netperf_throughput += sorted_netperf_throughput
sorted_netperf_throughput = statify_list(sorted_netperf_throughput, len(sorted_netperf_throughput))
print("")
print("Netperf Retransmissions: ")
print("=============================")
if len(sorted_netperf_retrans) == 1:
    sorted_netperf_retrans += sorted_netperf_retrans
sorted_netperf_retrans = statify_list(sorted_netperf_retrans, len(sorted_netperf_retrans))

#from pylab import *

#boxplot(sorted_bw)
#show()
#boxplot(sorted_rtt)
#show()

#rtt_q_25 = quantil(sorted_rtt, 0.25)
#rtt_q_75 = quantil(sorted_rtt, 0.75)
#rtt_iqr = rtt_q_75 - rtt_q_25

#print(bw_values_file.read())
#print(bw_file_lines)