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Client_Task_Manager.py
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Client_Task_Manager.py
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"""
CSC 239 Assignment - 1
Author: Sudarshan Deo
Spring 2017
This file runs on client side and is used to display server data on GUI
"""
import pickle
import sys
import socket
import time
from tkinter import *
from tkinter.ttk import *
from tkinter import ttk
from threading import Timer
import sys
from tkinter import font
import os
import pwd
import os.path
import matplotlib
matplotlib.use("TkAgg")
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2TkAgg
from matplotlib.figure import Figure
import tkinter as tk
from tkinter import ttk
import matplotlib.animation as animation
from matplotlib import style
from operator import itemgetter
from mpl_toolkits.mplot3d import axes3d
import subprocess
import math
import heapq
import copy
##Declarations for CPU
list1={}
list2={}
list3=[]
prev_list={}
curr_list={}
prevIntr=prevContext=0
##Declarations for Memory
list4={}
list4_2={}
list5=[]
mem_util=[0]*8
##Declarations for I/O
list6={}
list7=[]
prev_disk_util={}
curr_disk_util={}
##Declarations for Network
list8={}
list9 = {}
list10 = {}
list11 = {}
list12 = []
list13 = []
list14 = []
list15 = []
list16 = []
prev_tcp_util = {}
curr_tcp_util = {}
prev_udp_util = {}
curr_udp_util = {}
prev_ip_util = {}
curr_ip_util = {}
prev_nw_speed = {}
curr_nw_speed = {}
tcp=0
udp=0
ip=0
count=0
##Declarations for Process
prev_process_list = {}
curr_temp_list=[]
curr_process_list = []
temp_list = []
#Fonts
Font = ("Times New Roman", 20, "bold","italic")
Font1 = ("Times New Roman", 16,"bold")
Font2 = ("Times New Roman", 14,"bold")
Font3= ("Times New Roman", 14)
Font4= ("Times New Roman", 11)
Font5 = ("Times New Roman", 18, "bold","italic")
#TCP Information
TCP_IP = '127.0.0.1'
TCP_PORT = 6013
BUFFER_SIZE = 4096
##################################Section for CPU Graph Begins##################################
f1=Figure(figsize=(6,4), dpi=80)
#a=f.add_subplot(111,projection='3d',facecolor='lightyellow')
a=f1.add_subplot(111,facecolor='lightyellow')
#a.set_axis_bgcolor('lightyellow')
f1.suptitle('CPU Utilization', fontsize=14, fontweight='bold',color='black')
f1.subplots_adjust(top=0.85)
n=0
xlist=[]
ylist=[]
y1list=[]
def CPU_Graph_Layout(i):
global n,xlist,ylist,y1list
xlist.append(n)
ylist.append(curr_list["cpu"][1])
n=n+1
if(len(xlist)==30): #Reset the graph after 30 seconds
xlist=xlist[20:]
ylist=ylist[20:]
a.clear()
a.set_xlabel('Time(Sec)',fontweight='bold',fontsize = 12)
a.set_ylabel('%CPU',fontweight='bold',fontsize = 12)
a.set_ylim([0,100])
a.plot(xlist,ylist,'r',label='CPU-Utilization')
a.legend(loc='upper left',facecolor='lightgreen',fontsize = 12)
##################################Section for CPU Graph Ends##################################
##################################Section for Memory Graph Begins##################################
fig_memory=Figure(figsize=(8,4), dpi=80)
a1=fig_memory.add_subplot(111,facecolor='lightyellow')
fig_memory.suptitle('Memory Utilization', fontsize=14, fontweight='bold',color='black')
fig_memory.subplots_adjust(top=0.85)
n_1=0
mem_xlist=[]
mem_availlist=[]
mem_freelist=[]
mem_cachedlist=[]
def Memory_Graph_Layout(i):
global n_1,mem_xlist,mem_availlist,mem_freelist,mem_cachedlist
mem_xlist.append(n_1)
mem_freelist.append((int(mem_util[5])/int(mem_util[4]))*100)
mem_availlist.append((int(mem_util[6])/int(mem_util[4]))*100)
mem_cachedlist.append((int(mem_util[7])/int(mem_util[4]))*100)
n_1=n_1+1
if(len(mem_xlist)==30): #Reset the graph after 30 seconds
mem_xlist=mem_xlist[10:]
mem_freelist=mem_availlist[10:]
mem_availlist=mem_availlist[10:]
mem_cachedlist=mem_availlist[10:]
a1.clear()
a1.set_xlabel('Time(Sec)',fontweight='bold',fontsize = 12)
a1.set_ylabel('%Mem',fontweight='bold',fontsize = 12)
a1.set_ylim([0,100])
a1.plot(mem_xlist,mem_freelist,'r',label='% Free Memory')
a1.plot(mem_xlist,mem_availlist,'g',label='% Avail Memory')
a1.plot(mem_xlist,mem_cachedlist,'b',label='% Cached Memory')
a1.legend(loc='upper left',facecolor='lightgreen',fontsize = 12)
##################################Section for Memory Graph Ends##################################
##################################Section for Disk I/O Graph Begins##################################
fig_diskio=Figure(figsize=(7,4), dpi=90)
a2=fig_diskio.add_subplot(111,facecolor='lightyellow')
fig_diskio.suptitle('Disk I/O Utilization', fontsize=14, fontweight='bold',color='black')
fig_diskio.subplots_adjust(top=0.85)
n_2=0
diskio_xlist=[]
diskio_diskread=[]
diskio_diskwrite=[]
diskio_blockread=[]
diskio_blockwrite=[]
def DiskIO_Graph_Layout(i):
global n_2,diskio_xlist,diskio_diskread,diskio_diskwrite,diskio_blockread,diskio_blockwrite
diskio_xlist.append(n_2)
diskio_diskread.append(curr_disk_util["sda"][0])
diskio_diskwrite.append(curr_disk_util["sda"][2])
diskio_blockread.append(curr_disk_util["sda"][1])
diskio_blockwrite.append(curr_disk_util["sda"][3])
n_2=n_2+1
if(len(diskio_xlist)==30): #Reset the graph after 30 seconds
diskio_xlist=diskio_xlist[10:]
diskio_diskread=diskio_diskread[10:]
diskio_diskwrite=diskio_diskwrite[10:]
diskio_blockread=diskio_blockread[10:]
diskio_blockwrite=diskio_blockwrite[10:]
a2.clear()
a2.set_xlabel('Time(Sec)',fontweight='bold')
a2.set_ylabel('%Disk',fontweight='bold')
a2.set_ylim([0,1000])
a2.plot(diskio_xlist,diskio_diskread,'r',label='Disk Read')
a2.plot(diskio_xlist,diskio_diskwrite,'g',label='Disk Write')
a2.plot(diskio_xlist,diskio_blockread,'b',label='Block Read')
a2.plot(diskio_xlist,diskio_blockwrite,'m',label='Block Write')
a2.legend(loc='upper left',facecolor='lightgreen',fontsize = 12)
##################################Section for Disk I/O Graph Ends##################################
##################################Section for Network TCP Graph Begins##################################
fig_network_tcp=Figure(figsize=(5,4), dpi=50)
a3=fig_network_tcp.add_subplot(111,facecolor='lightyellow')
fig_network_tcp.suptitle('TCP Packets', fontsize=14, fontweight='bold',color='black')
fig_network_tcp.subplots_adjust(top=0.85)
n_3=0
network_tcp_xlist=[]
tcp_packets_sent=[]
tcp_packets_rec=[]
def Network_TCP_Graph_Layout(i):
global n_3,network_tcp_xlist,tcp_packets_sent,tcp_packets_rec
network_tcp_xlist.append(n_3)
tcp_packets_sent.append(curr_tcp_util[tcp][1])
tcp_packets_rec.append(curr_tcp_util[tcp][0])
n_3=n_3+1
if(len(network_tcp_xlist)==30): #Reset the graph after 30 seconds
network_tcp_xlist=network_tcp_xlist[10:]
tcp_packets_sent=tcp_packets_sent[10:]
tcp_packets_rec=tcp_packets_rec[10:]
a3.clear()
a3.set_xlabel('Time(Sec)',fontweight='bold')
a3.set_ylabel('Rate',fontweight='bold')
a3.set_ylim([0,10])
a3.plot(network_tcp_xlist,tcp_packets_sent,'r',label='TCP Packets Sent')
a3.plot(network_tcp_xlist,tcp_packets_rec,'g',label='TCP Packets Received')
a3.legend(loc='upper left',facecolor='lightgreen',fontsize = 12)
##################################Section for Network TCP Graph Ends##################################
##################################Section for Network UDP Graph Begins##################################
fig_network_udp=Figure(figsize=(5,4), dpi=50)
a4=fig_network_udp.add_subplot(111,facecolor='lightyellow')
fig_network_udp.suptitle('UDP Packets', fontsize=14, fontweight='bold',color='black')
fig_network_udp.subplots_adjust(top=0.85)
n_4=0
network_udp_xlist=[]
udp_packets_sent=[]
udp_packets_rec=[]
def Network_UDP_Graph_Layout(i):
global n_4,network_udp_xlist,udp_packets_sent,udp_packets_rec
network_udp_xlist.append(n_4)
udp_packets_sent.append(curr_udp_util[udp][1])
udp_packets_rec.append(curr_udp_util[udp][0])
n_4=n_4+1
if(len(network_udp_xlist)==30): #Reset the graph after 30 seconds
network_udp_xlist=network_udp_xlist[10:]
udp_packets_sent=udp_packets_sent[10:]
udp_packets_rec=udp_packets_rec[10:]
a4.clear()
a4.set_xlabel('Time(Sec)',fontweight='bold')
a4.set_ylabel('Rate',fontweight='bold')
a4.set_ylim([0,10])
a4.plot(network_udp_xlist,udp_packets_sent,'r',label='UDP Packets Sent')
a4.plot(network_udp_xlist,udp_packets_rec,'g',label='UDP Packets Received')
a4.legend(loc='upper left',facecolor='lightgreen',fontsize = 12)
##################################Section for Network UDP Graph Ends##################################
##################################GUI for CPU Begins##################################
def CPU_Graph_Design():
global graphlabel
graphlabel=Label(tab_for_CPU,text="CPU Data",relief=RAISED,anchor=CENTER, font=Font2)
graphlabel.grid(row=9,column=2,rowspan=5,columnspan=int(1),sticky=(N,S,W,E))
canvas=FigureCanvasTkAgg(f1,graphlabel)
canvas.show()
canvas.get_tk_widget().pack(side=RIGHT,fill=BOTH,expand=True)
def CPU_Design():
with open('data.pickle', 'rb') as pickle_in:
f = pickle.load(pickle_in)
for line in f:
if 'vendor_id' in line.split():
lcpuinfo1=line.split()
vendor=lcpuinfo1[2]
if 'model_name' in line.split():
lcpuinfo2=line.split()
model=lcpuinfo2[2]
if 'No_of_cores' in line.split():
lcpuinfo3=line.split()
cores=lcpuinfo3[2]
break
#print(vendor)
#print(model)
#print(cores)
Label(tab_for_CPU,text="CPU Statistics",relief=RAISED,anchor=CENTER, font=Font).grid(row=0,column=0,rowspan=1,columnspan=15,sticky=(N,S,W,E))
list1=["CPU's","CPU Utilization", "CPU % in User Mode", "CPU% in Kernel Mode","Min CPU Utilization", "Max CPU Utilization","Avg CPU Utilization"]
c=0
r=1
for item in list1:
Label(tab_for_CPU,text=item,relief=RAISED,anchor=W, font=Font1).grid(row=r,column=c,sticky=(N,S,W,E))
r=r+1
c=1
r=1
i=0
for item in range(7*(int(cores)+1)):
list3.append(Label(tab_for_CPU,text=item,anchor=CENTER,font=Font2, relief=SUNKEN))
list3[i].grid(row=r,column=c,sticky=(S,N,E,W))
if(r==7):
r=0
c=c+1
r=r+1
i=i+1
Label(tab_for_CPU,text="CPU Information",relief=RAISED,anchor=CENTER, font=Font).grid(row=8,column=0,rowspan=1,columnspan=2,sticky=(N,S,W,E))
r=9
c=0
list2=["CPU Vendor","Model Name","CPU Cores","Interrupts/sec","Context Switches/sec"]
for item in list2:
Label(tab_for_CPU,text=item,relief=RAISED,anchor=W,font=Font1).grid(row=r,column=0,sticky=(N,S,W,E))
r=r+1
Label(tab_for_CPU,text=vendor,relief=RAISED,anchor=CENTER, font=Font2).grid(row=9,column=1,sticky=(N,S,W,E))
Label(tab_for_CPU,text=model,relief=RAISED,anchor=CENTER, font=Font2).grid(row=10,column=1,sticky=(N,S,W,E))
Label(tab_for_CPU,text=cores,relief=RAISED,anchor=CENTER, font=Font2).grid(row=11,column=1,sticky=(N,S,W,E))
global label_context,label_interrupt
label_interrupt = Label(tab_for_CPU,text="",relief=RAISED,anchor=CENTER, font=Font2)
label_interrupt.grid(row=12,column=1,sticky=(N,S,W,E))
label_context = Label(tab_for_CPU,text="",relief=RAISED,anchor=CENTER, font=Font2)
label_context.grid(row=13,column=1,sticky=(N,S,W,E))
Label(tab_for_CPU,text="CPU Graph",relief=RAISED,anchor=CENTER, font=Font).grid(row=8,column=2,rowspan=1,columnspan=int(cores),sticky=(N,S,W,E))
##################################GUI for CPU Ends##################################
##################################CPU Calculations Begins##################################
def CPU_Calculations():
with open('data.pickle', 'rb') as pickle_in:
f = pickle.load(pickle_in)
for line in f:
global prevIntr,prevContext
if "cpu" in line:
cpu=line.split()[0]
#print(cpu)
if cpu in prev_list:
curr_cpu_list = line.split()
prevUser = int(prev_list[cpu][1])
prevSys = int(prev_list[cpu][3])
prevIdle = int(prev_list[cpu][4])
currUser = int(curr_cpu_list[1])
currSys = int(curr_cpu_list[3])
currIdle = int(curr_cpu_list[4])
delta = (currUser - prevUser) + (currSys - prevSys)
TotalTime = delta + (currIdle - prevIdle)
CPUUtilization = (delta*100)/TotalTime
curr_list[cpu][0] = curr_cpu_list[0].upper()
curr_list[cpu][1] = round(CPUUtilization,3) ##Overall CPU Utilization
curr_list[cpu][2] = round((((currUser-prevUser)/TotalTime)*100),3) ##User Mode in %
curr_list[cpu][3] = round((((currSys-prevSys)/TotalTime)*100),3) ##System Mode in %
if(curr_list[cpu][1]< curr_list[cpu][4]): #Min CPU Util
curr_list[cpu][4]=curr_list[cpu][1]
if(curr_list[cpu][1]>curr_list[cpu][5]): # Max CPU Util
curr_list[cpu][5]=curr_list[cpu][1]
##Avg CPU Util Calculation
curr_list[cpu][6]=round((curr_list[cpu][6]+CPUUtilization)/2,3)
prev_list[cpu][0] = curr_list[cpu][0]
prev_list[cpu][1] = prevUser
prev_list[cpu][3] = prevSys
prev_list[cpu][4] = prevIdle
else:
tmplist=line.split()
prev_list[cpu] = []
prev_list[cpu].append(0)
prev_list[cpu].append(tmplist[1])
prev_list[cpu].append(0)
prev_list[cpu].append(tmplist[3])
prev_list[cpu].append(tmplist[4])
prev_list[cpu].append(0)
prev_list[cpu].append(0)
curr_list[cpu]=[]
curr_list[cpu]=[0,0,0,0,100,0,0]
i=0
with open('data.pickle', 'rb') as pickle_in:
f = pickle.load(pickle_in)
for line in f:
if "cpu" in line:
cpu = line.split()[0]
if cpu in curr_list:
for item in curr_list[cpu]:
list3[i].configure(text=item)
i=i+1
if "intr" in line:
listIntr=line.split()
currIntr=int(listIntr[1])
TotalIntr=round((currIntr-prevIntr)/3)
prevIntr=currIntr
label_interrupt.configure(text=TotalIntr)
if "ctxt" in line:
listContext=line.split()
currContext=int(listContext[1])
TotalContext=round((currContext-prevContext)/3)
prevContext=currContext
label_context.configure(text=TotalContext)
t=Timer(3,CPU_Calculations)
t.start()
##################################CPU Calculations End##################################
##################################GUI for Memory Begins##################################
def Memory_Design():
Label(tab_for_Memory,text="Memory Utilization",relief=RAISED,anchor=CENTER, font=Font).grid(row=0,column=0,rowspan=1,columnspan=8,sticky=(N,S,W,E))
list4=["Memory Util","Min Mem Util", "Max Mem Util", "Avg Mem Util"]
r=1
c=0
for item in list4:
Label(tab_for_Memory,text=item,relief=RAISED,anchor=CENTER, font=Font1).grid(row=r,column=c,rowspan=1,columnspan=1,sticky=(N,S,W,E))
c=c+1
list4_2=["Total Memory","Free Memory","Available Memory","Cached Memory"]
c=0
r=3
for item in list4_2:
Label(tab_for_Memory,text=item,relief=RAISED,anchor=CENTER, font=Font1).grid(row=r,column=c,sticky=(N,S,W,E))
c=c+1
r=2
c=0
i=0
for item in range(8):
list5.append(Label(tab_for_Memory,text=item,anchor=CENTER,font=Font2, relief=SUNKEN))
list5[i].grid(row=r,column=c,sticky=(S,N,E,W))
if(c==3):
c=-1
r=r+2
c=c+1
i=i+1
Label(tab_for_Memory,text="Memory Graph",relief=RAISED,anchor=CENTER, font=Font).grid(row=5,column=0,rowspan=1,columnspan=8,sticky=(N,S,W,E))
memorylabel=Label(tab_for_Memory,text="Memory Data",relief=RAISED,anchor=CENTER, font=Font2)
memorylabel.grid(row=6,column=0,rowspan=5,columnspan=int(4),sticky=(N,S,W,E))
canvas=FigureCanvasTkAgg(fig_memory,memorylabel)
canvas.show()
canvas.get_tk_widget().pack(side=RIGHT,fill=BOTH,expand=True)
##################################GUI for Memory Ends##################################
##################################Memory Calculations Begin##################################
def Memory_Calculations():
global list5
with open('data.pickle2', 'rb') as pickle_in:
f = pickle.load(pickle_in)
for line in f:
if 'MemTotal' in line:
mem_util[4]=line.split()[1]
if 'MemFree' in line:
mem_util[5]=line.split()[1]
if 'MemAvailable' in line:
mem_util[6]=line.split()[1]
if 'Cached' in line:
mem_util[7]=line.split()[1]
break
MemUtilization=(int(mem_util[4])-int(mem_util[5]))*100/int(mem_util[4])
mem_util[0]=round(MemUtilization,2)
if (mem_util[0]< mem_util[1]):
mem_util[1]=mem_util[0]
if (mem_util[0]>mem_util[2]):
mem_util[2]=mem_util[0]
AvgMemUtilization= (int(mem_util[3])+int(mem_util[0]))/2
mem_util[3]=round(AvgMemUtilization,2)
for i in range(8):
list5[i].configure(text=mem_util[i])
t = Timer(3,Memory_Calculations)
t.start()
##################################Memory Calculations End##################################
##################################GUI for Disk I/O Begin##################################
def IO_Design():
Label(tab_for_DiskIO,text="I/O Utilization",relief=RAISED,anchor=CENTER, font=Font).grid(row=0,column=0,rowspan=1,columnspan=10,sticky=(N,S,W,E))
list6=["Disk Reads","Blocks Read","Disk Writes","Blocks Written", "Avg Disk Reads", "Avg Blocks Read","Avg Disk Writes","Avg Blocks Written","Avg Response Time","% Utilization"]
c=0
r=1
for item in list6:
Label(tab_for_DiskIO,text=item,relief=RAISED,anchor=CENTER, font=Font1).grid(row=r,column=c,sticky=(N,S,W,E))
c=c+1
if(c==5):
c=0
r=r+2
r=2
c=0
i=0
for item in range(10):
list7.append(Label(tab_for_DiskIO,text=item,anchor=CENTER,font=Font2, relief=SUNKEN))
list7[i].grid(row=r,column=c,sticky=(S,N,E,W))
if(c==4):
c=-1
r=r+2
c=c+1
i=i+1
Label(tab_for_DiskIO,text="Disk Graph",relief=RAISED,anchor=CENTER, font=Font).grid(row=5,column=0,rowspan=1,columnspan=8,sticky=(N,S,W,E))
diskiolabel=Label(tab_for_DiskIO,text="DiskIO Data",relief=RAISED,anchor=CENTER, font=Font2)
diskiolabel.grid(row=6,column=0,rowspan=5,columnspan=int(4),sticky=(N,S,W,E))
canvas=FigureCanvasTkAgg(fig_diskio,diskiolabel)
canvas.show()
canvas.get_tk_widget().pack(side=RIGHT,fill=BOTH,expand=True)
##################################GUI for Disk I/O End##################################
##################################Disk I/O Calculations Begin##################################
def IO_Calculations():
global list7
with open('data.pickle2', 'rb') as pickle_in:
f = pickle.load(pickle_in)
for line in f:
if 'sda' in line:
sda=line.split()[2]
break;
if sda in prev_disk_util:
disk_time_interval = 3
curr_disk_read = int(line.split()[3])
curr_blocks_read = round(int(line.split()[5])*512)
curr_disk_write = int(line.split()[7])
curr_blocks_write = round(int(line.split()[9])*512)
curr_avg_response_time = int(line.split()[12])
prev_disk_read = int(prev_disk_util[sda][0])
prev_block_read = int(prev_disk_util[sda][1])
prev_disk_write = int(prev_disk_util[sda][2])
prev_block_write = int(prev_disk_util[sda][3])
prev_avg_response_time = int(prev_disk_util[sda][8])
curr_disk_util[sda][0] = round((curr_disk_read - prev_disk_read)/disk_time_interval,2)
curr_disk_util[sda][1] = round((curr_blocks_read - prev_block_read)/(1024*disk_time_interval),2)
curr_disk_util[sda][2] = round((curr_disk_write - prev_disk_write)/disk_time_interval,2)
curr_disk_util[sda][3] = round((curr_blocks_write - prev_block_write)/(1024*disk_time_interval),2)
curr_disk_util[sda][4] = round((curr_disk_util[sda][0] + curr_disk_util[sda][4])/2,2)
curr_disk_util[sda][5] = round((curr_disk_util[sda][1] + curr_disk_util[sda][5])/2,2)
curr_disk_util[sda][6] = round((curr_disk_util[sda][2] + curr_disk_util[sda][6])/2,2)
curr_disk_util[sda][7] = round((curr_disk_util[sda][3] + curr_disk_util[sda][7])/2,2)
curr_disk_util[sda][8] = round((curr_avg_response_time - prev_avg_response_time)/disk_time_interval,2)
curr_disk_util[sda][9] = round((((curr_disk_util[sda][0] + curr_disk_util[sda][2]) * curr_disk_util[sda][8])/1000)*100,2)
prev_disk_util[sda][0] = curr_disk_read
prev_disk_util[sda][1] = curr_blocks_read
prev_disk_util[sda][2] = curr_disk_write
prev_disk_util[sda][3] = curr_blocks_write
prev_disk_util[sda][8] = curr_avg_response_time
else:
tmplist=line.split()
prev_disk_util[sda] = []
prev_disk_util[sda].append(int(tmplist[3]))
prev_disk_util[sda].append(round(int(tmplist[5])*512))
prev_disk_util[sda].append(int(tmplist[7]))
prev_disk_util[sda].append(round(int(tmplist[9])*512))
prev_disk_util[sda].append(int(0))
prev_disk_util[sda].append(int(0))
prev_disk_util[sda].append(int(0))
prev_disk_util[sda].append(int(0))
prev_disk_util[sda].append(int(tmplist[12]))
prev_disk_util[sda].append(int(0))
curr_disk_util[sda]=[]
curr_disk_util[sda]=[0,0,0,0,0,0,0,0,0,0]
i=0
for item in curr_disk_util[sda]:
list7[i].configure(text=item)
i=i+1
t=Timer(3,IO_Calculations)
t.start()
##################################Disk I/O Calculations End##################################
##################################GUI for Network Begin##################################
def Network_Deign():
Label(tab_for_Network, text="NETWORK STATISTIC'S", relief=RAISED,anchor=CENTER, font=Font).grid(row=0,column=0,rowspan=1,columnspan=10,sticky=(N,S,W,E))
r=1
c=0
list8 = ["TCP","Rate","Min","Max","Avg"]
for item in list8:
Label(tab_for_Network,text=item,relief=RAISED,anchor=CENTER,font=Font5).grid(row=r,column=c,sticky=(N,S,W,E))
c=c+1
i=0
r=2
c=1
for item in range(8):
list12.append(Label(tab_for_Network,text=item,anchor=CENTER,font=Font2, relief=SUNKEN))
list12[i].grid(row=r,column=c,sticky=(S,N,E,W))
if(r==3):
r=1
c=c+1
r=r+1
i=i+1
Label(tab_for_Network, text="Packets Received", relief=RAISED,anchor=W, font=Font1).grid(row=2,column=0,rowspan=1,columnspan=1,sticky=(N,S,W,E))
Label(tab_for_Network, text="Packets Sent", relief=RAISED,anchor=W, font=Font1).grid(row=3,column=0,rowspan=1,columnspan=1,sticky=(N,S,W,E))
r=1
c=5
list9 = ["IP","Rate","Min","Max","Avg"]
for item in list9:
Label(tab_for_Network,text=item,relief=RAISED,anchor=CENTER,font=Font5).grid(row=r,column=c,sticky=(N,S,W,E))
c=c+1
i=0
r=2
c=6
for item in range(8):
list13.append(Label(tab_for_Network,text=item,anchor=CENTER,font=Font2, relief=SUNKEN))
list13[i].grid(row=r,column=c,sticky=(S,N,E,W))
if(r==3):
r=1
c=c+1
r=r+1
i=i+1
Label(tab_for_Network, text="Packets Received", relief=RAISED,anchor=W, font=Font1).grid(row=2,column=5,rowspan=1,columnspan=1,sticky=(N,S,W,E))
Label(tab_for_Network, text="Packets Sent", relief=RAISED,anchor=W, font=Font1).grid(row=3,column=5,rowspan=1,columnspan=1,sticky=(N,S,W,E))
Label(tab_for_Network, text="TCP Information", relief=RAISED,anchor=CENTER, font=Font5).grid(row=4,column=0,rowspan=1,columnspan=2,sticky=(N,S,W,E))
Label(tab_for_Network, text="Network Speed", relief=RAISED,anchor=CENTER, font=Font5).grid(row=4,column=2,rowspan=1,columnspan=3,sticky=(N,S,W,E))
Label(tab_for_Network, text="Active", relief=RAISED,anchor=W, font=Font1).grid(row=5,column=0,rowspan=1,columnspan=1,sticky=(N,S,W,E))
global label_active,label_established
label_active = Label(tab_for_Network, text="", relief=RAISED,anchor=CENTER, font=Font2)
label_active.grid(row=5,column=1,rowspan=1,columnspan=1,sticky=(N,S,W,E))
Label(tab_for_Network, text="Established", relief=RAISED,anchor=W, font=Font1).grid(row=6,column=0,rowspan=1,columnspan=1,sticky=(N,S,W,E))
label_established = Label(tab_for_Network, text="", relief=RAISED,anchor=CENTER, font=Font2)
label_established.grid(row=6,column=1,rowspan=1,columnspan=1,sticky=(N,S,W,E))
global label_received,label_sent
Label(tab_for_Network, text="Kb Received/s", relief=RAISED,anchor=W, font=Font1).grid(row=5,column=2,rowspan=1,columnspan=2,sticky=(N,S,W,E))
label_received = Label(tab_for_Network, text="", relief=RAISED,anchor=CENTER, font=Font2)
label_received.grid(row=5,column=4,rowspan=1,columnspan=1,sticky=(N,S,W,E))
Label(tab_for_Network, text="Kb Sent/s", relief=RAISED,anchor=W, font=Font1).grid(row=6,column=2,rowspan=1,columnspan=2,sticky=(N,S,W,E))
label_sent = Label(tab_for_Network, text="", relief=RAISED,anchor=CENTER, font=Font2)
label_sent.grid(row=6,column=4,rowspan=1,columnspan=1,sticky=(N,S,W,E))
r=4
c=5
list10 = ["UDP","Rate","Max","Min","Avg"]
for item in list10:
Label(tab_for_Network,text=item,relief=RAISED,anchor=CENTER,font=Font5).grid(row=r,column=c,sticky=(N,S,W,E))
c=c+1
i=0
r=5
c=6
for item in range(8):
list14.append(Label(tab_for_Network,text=item,anchor=CENTER,font=Font2, relief=SUNKEN))
list14[i].grid(row=r,column=c,sticky=(S,N,E,W))
if(r==6):
r=4
c=c+1
r=r+1
i=i+1
Label(tab_for_Network, text="Packets Received", relief=RAISED,anchor=W, font=Font1).grid(row=5,column=5,rowspan=1,columnspan=1,sticky=(N,S,W,E))
Label(tab_for_Network, text="Packets Sent", relief=RAISED,anchor=W, font=Font1).grid(row=6,column=5,rowspan=1,columnspan=1,sticky=(N,S,W,E))
networklabel_tcp=Label(tab_for_Network,text="TCP Data",relief=RAISED,anchor=CENTER, font=Font2)
networklabel_tcp.grid(row=8,column=0,rowspan=6,columnspan=int(5),sticky=(N,S,W,E))
canvas=FigureCanvasTkAgg(fig_network_tcp,networklabel_tcp)
canvas.show()
canvas.get_tk_widget().pack(side=RIGHT,fill=BOTH,expand=True)
networklabel_udp=Label(tab_for_Network,text="UDP Data",relief=RAISED,anchor=CENTER, font=Font2)
networklabel_udp.grid(row=8,column=5,rowspan=6,columnspan=int(5),sticky=(N,S,W,E))
canvas=FigureCanvasTkAgg(fig_network_udp,networklabel_udp)
canvas.show()
canvas.get_tk_widget().pack(side=RIGHT,fill=BOTH,expand=True)
##################################GUI for Network Ends##################################
##################################Network Calculations Begin##################################
def Network_Calculations():
global tcp,udp,ip
with open('data.pickle2', 'rb') as pickle_in:
f = pickle.load(pickle_in)
for line in f:
if "Tcp:" in line :
tcp = line.split()[0].lower()
label_active.configure(text = line.split()[5])
label_established.configure(text = line.split()[9])
if (tcp in prev_tcp_util):
tcp_value = line.split()
prev_tcp_rec = int(prev_tcp_util[tcp][0])
prev_tcp_sent = int(prev_tcp_util[tcp][1])
curr_tcp_rec = int(tcp_value[10])
curr_tcp_sent = int(tcp_value[11])
tcp_received_rate = round((curr_tcp_rec - prev_tcp_rec)/3,2)
tcp_sent_rate = round((curr_tcp_sent - prev_tcp_sent)/3,2)
curr_tcp_util[tcp][0] = tcp_received_rate
curr_tcp_util[tcp][1] = tcp_sent_rate
if(tcp_received_rate < curr_tcp_util[tcp][2]):
curr_tcp_util[tcp][2]=tcp_received_rate
if(tcp_sent_rate < curr_tcp_util[tcp][3]):
curr_tcp_util[tcp][3]=tcp_sent_rate
if(tcp_received_rate > curr_tcp_util[tcp][4]):
curr_tcp_util[tcp][4]=tcp_received_rate
if(tcp_sent_rate > curr_tcp_util[tcp][5]):
curr_tcp_util[tcp][5]=tcp_sent_rate
curr_tcp_util[tcp][6]= round((curr_tcp_util[tcp][6]+ tcp_received_rate )/2,2)
curr_tcp_util[tcp][7]= round((curr_tcp_util[tcp][7]+ tcp_sent_rate )/2,2)
prev_tcp_util[tcp][0] = curr_tcp_rec
prev_tcp_util[tcp][1] = curr_tcp_sent
i=0
for item in curr_tcp_util[tcp]:
list12[i].configure(text=item)
i=i+1
else:
tmplist1 = line.split()
prev_tcp_util[tcp] = []
prev_tcp_util[tcp].append(int(tmplist1[10]))
prev_tcp_util[tcp].append(int(tmplist1[11]))
curr_tcp_util[tcp] = []
curr_tcp_util[tcp] = [0,0,0,0,0,0,0,0]
if "Udp:" in line :
udp = line.split()[0].lower()
if (udp in prev_udp_util):
upd_values = line.split()
prev_udp_rec = int(prev_udp_util[udp][0])
prev_udp_sent = int(prev_udp_util[udp][1])
curr_udp_rec = int(upd_values[1])
curr_udp_sent = int(upd_values[4])
udp_received_rate = round((curr_udp_rec - prev_udp_rec)/3,2)
udp_sent_rate = round((curr_udp_sent - prev_udp_sent)/3,2)
curr_udp_util[udp][0] = udp_received_rate
curr_udp_util[udp][1] = udp_sent_rate
if(udp_received_rate < curr_udp_util[udp][2]):
curr_udp_util[udp][2]=udp_received_rate
if(udp_sent_rate < curr_udp_util[udp][3]):
curr_udp_util[udp][3]=udp_sent_rate
if(udp_received_rate > curr_udp_util[udp][4]):
curr_udp_util[udp][4]=udp_received_rate
if(udp_sent_rate > curr_udp_util[udp][5]):
curr_udp_util[udp][5]=udp_sent_rate
curr_udp_util[udp][6]= round((curr_udp_util[udp][6]+ udp_received_rate )/2,2)
curr_udp_util[udp][7]= round((curr_udp_util[udp][7]+ udp_sent_rate )/2,2)
prev_udp_util[udp][0] = curr_udp_rec
prev_udp_util[udp][1] = curr_udp_sent
j=0
for item in curr_udp_util[udp]:
list14[j].configure(text=item)
j=j+1
else:
tmplist2 = line.split()
prev_udp_util[udp] = []
prev_udp_util[udp].append(int(tmplist2[1]))
prev_udp_util[udp].append(int(tmplist2[4]))
curr_udp_util[udp] = []
curr_udp_util[udp] = [0,0,0,0,0,0,0,0]
if "Ip:" in line:
ip = line.split()[0].lower()
if (ip in prev_ip_util):
ip_values = line.split()
prev_ip_rec = int(prev_ip_util[ip][0])
prev_ip_sent = int(prev_ip_util[ip][1])
curr_ip_rec = int(ip_values[3])
curr_ip_sent = int(ip_values[10])
ip_received_rate = round((curr_ip_rec - prev_ip_rec)/3,2)
ip_sent_rate = round((curr_ip_sent - prev_ip_sent)/3,2)
curr_ip_util[ip][0] = ip_received_rate
curr_ip_util[ip][1] = ip_sent_rate
if(ip_received_rate < curr_ip_util[ip][2]):
curr_ip_util[ip][2]=ip_received_rate
if(ip_sent_rate < curr_ip_util[ip][3]):
curr_ip_util[ip][3]=ip_sent_rate
if(ip_received_rate > curr_ip_util[ip][4]):
curr_ip_util[ip][4]=ip_received_rate
if(ip_sent_rate > curr_ip_util[ip][5]):
curr_ip_util[ip][5]=ip_sent_rate
curr_ip_util[ip][6]= round((curr_ip_util[ip][6]+ ip_received_rate )/2,2)
curr_ip_util[ip][7]= round((curr_ip_util[ip][7]+ ip_sent_rate )/2,2)
prev_ip_util[ip][0] = curr_ip_rec
prev_ip_util[ip][1] = curr_ip_sent
j=0
for item in curr_ip_util[ip]:
list13[j].configure(text=item)
j=j+1
else:
tmplist3 = line.split()
prev_ip_util[ip] = []
prev_ip_util[ip].append(int(tmplist3[3]))
prev_ip_util[ip].append(int(tmplist3[10]))
curr_ip_util[ip] = []
curr_ip_util[ip] = [0,0,0,0,0,0,0,0]
if "eth0:" in line:
eth = line.split()[0]
if(eth in curr_nw_speed):
eth_list = line.split()
prev_nw_speed_rec = int(prev_nw_speed[eth][0])
prev_nw_speed_sent = int(prev_nw_speed[eth][1])
curr_nw_speed_rec = int(eth_list[1])
curr_nw_speed_sent = int(eth_list[9])
kb_rec_per_sec = round((((curr_nw_speed_rec - prev_nw_speed_rec)/3)/1024),2)
kb_sent_per_sec = round((((curr_nw_speed_sent - prev_nw_speed_sent)/3)/1024),2)
curr_nw_speed[eth][0] = kb_rec_per_sec
curr_nw_speed[eth][1] = kb_sent_per_sec
prev_nw_speed[eth][0] = curr_nw_speed_rec
prev_nw_speed[eth][1] = curr_nw_speed_sent
label_received.configure(text = curr_nw_speed[eth][0])
label_sent.configure(text = curr_nw_speed[eth][1])
else:
tmplist4 = line.split()
prev_nw_speed[eth] = []
prev_nw_speed[eth].append(int(tmplist4[1]))
prev_nw_speed[eth].append(int(tmplist4[9]))
curr_nw_speed[eth] = []
curr_nw_speed[eth] = [0,0]
t=Timer(3,Network_Calculations)
t.start()
##################################Network Calculations Ends##################################
##################################Process Calculations Begin##################################
def Process_Calculations():
global prev_process_list,curr_process_list,count
with open('data.pickle3', 'rb') as pickle_in:
f = pickle.load(pickle_in)
VmSize = ((math.pow(2,64)-1)/1024)
for line in f:
if "Process:" in line:
pid = line.split()[1]
if pid in prev_process_list:
curr_temp_list = [0,0,0,0,0,0,0,0,0,0,0,0,0]
templist = line.split()
curr_temp_list[0] = pid ##PID
curr_temp_list[2] = templist[2] ##PRIORITY
curr_temp_list[3] = templist[3] ##NICE
curr_temp_list[4] = round((int(templist[4]))/1024,2) ##Virtual Memory in Kb
curr_temp_list[5] = round(((curr_temp_list[4]/int(VmSize))*100),6) ##VM %
curr_temp_list[6] = round((int(templist[5])*4096/1024),2) ##Rss. Each Page is 4KB. Represented in KB
#curr_temp_list[7] = round((int(curr_temp_list[6])*100/(int(100000))),2) ##Rss %
curr_temp_list[7] = round((int(curr_temp_list[6])*100/(int(mem_util[4]))),2)
curr_temp_list[8] = templist[6] ##State
curr_temp_list[9] = round((int(templist[7]) - int(prev_process_list[pid][0]))/3,2) ##User Time
curr_temp_list[10] = round((int(templist[8]) - int(prev_process_list[pid][1]))/3,2) ##System Time
curr_temp_list[11] = round((curr_temp_list[9] + curr_temp_list[10])/3,2) ##Total Time
curr_temp_list[1] = templist[9] ##Username
curr_temp_list[12] = templist[10] ##Command
curr_process_list.append(curr_temp_list)
prev_process_list[pid][0] = int(templist[7])
prev_process_list[pid][1] = int(templist[8])
else:
prev_process_list[pid] = []
prev_process_list[pid].append(line.split()[7]) ##Previous Utime
prev_process_list[pid].append(line.split()[8]) ##Previous Stime