How can I retrieve the IP address from a Windows in real time using python or PowerShell to continuously and dynamically authenticate that a user is accessing a specific resource via that IP address (it will be compared to a range of ip addresses specified by me)? I want this information for a product I’m developing. The following is a code i tried but it work statically i want to retrieve ip dynamically.

#Import pandas library import pandas as pd # Registered IP addresses RegIPs = ["192.168.1.1", "192.168.1.2", "192.168.10.4",           "192.158.1.38","192.168.10.6", "192.168.0.10", "192.168.0.11",           "192.168.2.30", "192.168.2.31", "192.168.1.21", "192.168.1.20"] def load_employee_info():     try:         employees_info = pd.read_csv('Employees_info.csv')     except FileNotFoundError:         # If the file is not found, print an error message and return an empty data frame         print("Error: Employees_info.csv file not found.")         return pd.DataFrame()     return employees_info # Filter the dataframe to get the row with the specified user_id def retrieve_ip_address_risk_score(user_id, rip):     employees_info = load_employee_info()     if employees_info.empty:         # If the data frame is empty, return a risk level of 1 (High Risk)         print("Error: Employees_info.csv file is empty.")         return 1     users = employees_info.loc[employees_info["user_id"] == user_id]     if users.empty:         # If the user ID is not found, print an error message and return a risk level of 1 (High Risk)         print("Error: User ID not found.")         return 1     # Extract the IP address from the filtered row     try:         incomingIP = users["ip_address"].values[0]     except IndexError:         # If the IP address cannot be extracted, print an error message and return a risk level of 1 (High Risk)         print("Error: Unable to retrieve IP address.")         return 1     if incomingIP != rip:         Risk_level = 1     else:         Risk_level = 0.1         # Return the Risk level     return Risk_level 

I tried nmap with python code but didn’t work.