- 6th Jul 2024
- 20:05 pm
- Admin
In this project, you will use the authlog.txt file to create a Python script with a GUI front end. The script will allow users to input a date range and retrieve logon attempts within that range. The extracted date, time, IP address, and username will be displayed in a scrollable box for easy review. Use the authlog.txt file and prepare a Python script which does the following:
- Using the authlog.txt file provided here please prepare a GUI front end that will allow a user to enter a beginning date into a input box and an ending date into an input box.
- Using the two dates entered write a Python script that opens the file andretrieves all the logon attempts within the date range provided.
- Extract the following from each line: date, time, IP address and username. These are to be placed into a scroll box so that the user can scroll forward and back to review the data.
CSCI 1523 - Programming - Get Assignment Solution
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Free Project Solution - CSCI 1523 Programming Task
#import all the necessarry modules
from datetime import datetime
import re
# import tkinter module
from tkinter import *
from tkinter.ttk import *
from tkinter import messagebox
# declaring the regex pattern for IP addresses
pattern = re.compile(r'(\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})')
#define a function which will call when we click the submit button
def submit():
#convert start date and end date in datetime
try:
#convert string date into datetime object
start = start_var.get()
start = datetime. strptime(start,'%b %d')
end = end_var.get()
end = datetime. strptime(end,'%b %d'
except Exception:
messagebox.showinfo("showinfo", "Enter valid dates")
return
login_entry.delete('1.0', END)
try:
file = open("1650798400409_authlog_(1).txt","r")#open the file in reading mode
line = file.readline()#read the first line
while(line):#repeat until end of line
result = ""
temp = line.split()
date = temp[0] + " " +temp[1] + " " +temp[2] #extract date and time
file_date = datetime. strptime(date,'%b %d %H:%M:%S')#convert string date into datetime objecr
if start <= file_date and file_date <= end:#if date is in the range
result = date
try:#extract ip address and add it to the result
result += " " + pattern.search(line)[0]
except Exception:
pass
#extract username from the line
if "user" in line:
userTemp = line[line.find("user"):]
if "user=" not in userTemp:
result += " " + (userTemp[5:(userTemp.find(" ",5))])
result += "\n"
login_entry.insert(END, result)#add the result to the end of text widget
line = file.readline()
except Exception as ex:
messagebox.showinfo("showinfo", ex)
win = Tk()
#define variable to get the strat date and end date
start_var = StringVar()
end_var= StringVar()
#define all the label
head_label = Label(win, text = 'Csci 1523 - Search authkog.txt file', font=('calibre',10, 'bold'))
start_label = Label(win, text = 'Start Date: ', font=('calibre',10, 'bold'))
end_label = Label(win, text = 'End Date: ', font=('calibre',10, 'bold'))
login_label = Label(win, text = 'Login Attempts ', font=('calibre',10, 'bold'))
#define all the entry
start_entry = Entry(win,textvariable = start_var, font=('calibre',10,'normal'))
end_entry = Entry(win,textvariable = end_var, font=('calibre',10,'normal'))
login_entry = Text(win, height = 5, width = 32)
# creating a button using the widget Button to call the submit function
sub_btn=Button(win, text = 'Search', command = submit)
#grid everything to the tkinter oject
head_label.grid(row = 0,column = 1,padx = 2,pady=4)
start_label.grid(row=1,column=0,padx = 2,pady=4)
end_label.grid(row=2,column=0,padx = 2,pady=4)
start_entry.grid(row=1,column=1,padx = 2,pady=4)
end_entry.grid(row=2,column=1,padx = 2,pady=4)
sub_btn.grid(row = 1,column = 3,rowspan = 2,padx = 2,pady=4)
login_label.grid(row = 3,column = 1,padx = 2,pady=4)
login_entry.grid(row = 4,column = 1,padx = 2,pady=4)
win.mainloop()#start the loop
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About The Author - Rekha Seth
Rekha Seth is a seasoned software developer with extensive experience in Python scripting and GUI design. Specializing in data extraction and user interface creation, Rekha has developed a user-friendly application for processing and visualizing logon attempt data. Her expertise ensures a seamless experience, enabling users to easily enter date ranges, extract relevant log information, and review it efficiently.
