Lusca Proxy Server

When working with OpenXML, you may need to parse date values from date-formatted cells in Excel spreadsheets. The date values in OpenXML are represented as numeric values, and you need to convert these numeric values to DateTime objects.

Here's an example using C# and the DocumentFormat.OpenXml library to parse date values from an Excel spreadsheet:

1. Install the Open XML SDK:

   • If you haven't already, install the DocumentFormat.OpenXml NuGet package:

nuget install DocumentFormat.OpenXml

Write the Parsing Code:

• Create a C# script or add the following code to your project:

using System;
using DocumentFormat.OpenXml.Packaging;
using DocumentFormat.OpenXml.Spreadsheet;

class Program
{
    static void Main()
    {
        string filePath = "path/to/your/excelfile.xlsx"; // Replace with the path to your Excel file

        // Call the function to parse dates from the Excel file
        ParseDatesFromExcel(filePath);
    }

    static void ParseDatesFromExcel(string filePath)
    {
        using (SpreadsheetDocument spreadsheetDocument = SpreadsheetDocument.Open(filePath, false))
        {
            WorkbookPart workbookPart = spreadsheetDocument.WorkbookPart;
            SharedStringTablePart sharedStringTablePart = workbookPart.GetPartsOfType().FirstOrDefault();

            if (sharedStringTablePart != null)
            {
                foreach (WorksheetPart worksheetPart in workbookPart.WorksheetParts)
                {
                    foreach (Cell cell in worksheetPart.Worksheet.Descendants())
                    {
                        if (cell.DataType != null && cell.DataType.Value == CellValues.SharedString)
                        {
                            int sharedStringIndex = int.Parse(cell.InnerText);
                            string sharedStringValue = sharedStringTablePart.SharedStringTable.Elements().ElementAt(sharedStringIndex).InnerText;

                            if (DateTime.TryParse(sharedStringValue, out DateTime parsedDate))
                            {
                                Console.WriteLine($"Parsed Date: {parsedDate.ToShortDateString()}");
                            }
                            else
                            {
                                Console.WriteLine("Not a valid date format.");
                            }
                        }
                        else if (cell.CellValue != null)
                        {
                            if (DateTime.TryParse(cell.CellValue.Text, out DateTime parsedDate))
                            {
                                Console.WriteLine($"Parsed Date: {parsedDate.ToShortDateString()}");
                            }
                            else
                            {
                                Console.WriteLine("Not a valid date format.");
                            }
                        }
                    }
                }
            }
        }
    }
}

2. • Replace "path/to/your/excelfile.xlsx" with the actual path to your Excel file.

3. Run the Code:

   • Execute the code, and it will print parsed date values from the Excel file.

This code uses the SpreadsheetDocument class from the DocumentFormat.OpenXml.Packaging namespace to open the Excel file, and it iterates through the cells to parse and print date values. It checks if the cell contains a shared string (string stored in the shared string table) or a direct value. If it's a valid date, it parses and prints it. Adjust the code according to your specific needs and Excel file structure.

Sending large files over UDP can be a bit tricky because UDP does not guarantee delivery, order, or even that packets won't be duplicated. However, it is possible to send large files using UDP by breaking the file into smaller chunks and sending each chunk separately. Here's a step-by-step guide on how to do it in Python:

1. Import necessary libraries:

import os
import socket
import pickle

2. Define a function to serialize the file data:

def serialize_file_data(file_data):
    return pickle.dumps(file_data)

3. Create a UDP socket:

def create_udp_socket(host, port):
    sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
    sock.bind((host, port))
    return sock

4. Send the file data over UDP:

def send_file(sock, file_data, host, port):
    serialized_file_data = serialize_file_data(file_data)
    sock.sendto(serialized_file_data, (host, port))

5. Define a function to deserialize the file data:

def deserialize_file_data(file_data):
    return pickle.loads(file_data)

6. Create a function to receive the file data:

def receive_file(sock, host, port):
    while True:
        data, addr = sock.recvfrom(4096)
        file_data = deserialize_file_data(data)
        yield file_data

7. Putting it all together:

if __name__ == "__main__":
    file_path = "large_file.txt"
    host, port = "127.0.0.1", 12345
    sock = create_udp_socket(host, port)
    send_file(sock, file_path, host, port)

On the receiving side, you will need to collect all the received file data and save it to a file.

The provider, when the user uses a VPN, "sees" only the encrypted traffic, as well as the address of the remote server to which the request is sent. But it is impossible to determine which site the user is visiting and what data is being sent.

The proxy domain most often refers to the IP address where the server is located. It can only "learn" the IP address of the user when processing the traffic. But in most cases it does not store such information later for security reasons.

It means routing traffic from multiple devices through a single proxy server. In this way you can, for example, organize a local network in an office environment, but where all the traffic data can be viewed from the administrator's server.