Proxy Autoconfig

A server proxy is software installed on a computer on a network that allows you to make requests to other computers on your behalf. A server proxy is a kind of intermediary that ensures the secure exchange of data.

Updating CoreML models in an iOS app typically involves fetching a new model file, parsing it, and then updating the CoreML model with the new version. JSON parsing can be used to extract necessary information from the fetched JSON file. Below is a step-by-step guide using Swift:

Fetch and Parse JSON

Fetch a JSON file containing information about the updated CoreML model, including its download URL, version, etc.

import Foundation

// Replace with the URL of your JSON file
let jsonURLString = "https://example.com/model_info.json"

if let url = URL(string: jsonURLString),
   let data = try? Data(contentsOf: url),
   let json = try? JSONSerialization.jsonObject(with: data, options: []) as? [String: Any] {

    // Extract information from the JSON
    if let newModelURLString = json["new_model_url"] as? String,
       let newModelVersion = json["new_model_version"] as? String {
        // Continue with the next steps
        updateCoreMLModel(with: newModelURLString, version: newModelVersion)
    }
}

Download and Save New Model:

Download the new CoreML model file from the provided URL and save it locally.

func updateCoreMLModel(with modelURLString: String, version: String) {
    guard let modelURL = URL(string: modelURLString),
          let modelData = try? Data(contentsOf: modelURL) else {
        print("Failed to download the new model.")
        return
    }

    // Save the new model to a local file
    let documentsDirectory = FileManager.default.urls(for: .documentDirectory, in: .userDomainMask).first!
    let newModelURL = documentsDirectory.appendingPathComponent("newModel.mlmodel")

    do {
        try modelData.write(to: newModelURL)
        print("New model downloaded and saved.")
        updateCoreMLModelWithNewVersion(newModelURL, version: version)
    } catch {
        print("Error saving new model: \(error.localizedDescription)")
    }
}

Update CoreML Model:

Load the new CoreML model and update the app's model.

import CoreML

func updateCoreMLModelWithNewVersion(_ modelURL: URL, version: String) {
    do {
        // Load the new CoreML model
        let newModel = try MLModel(contentsOf: modelURL)

        // Replace the existing CoreML model with the new version
        // Assuming your model has a custom CoreMLModelManager class
        CoreMLModelManager.shared.updateModel(newModel, version: version)

        print("CoreML model updated to version \(version).")
    } catch {
        print("Error loading new CoreML model: \(error.localizedDescription)")
    }
}

Handle Model Updates in App:

Depending on your app's architecture, you might want to handle the model update in a dedicated manager or service. Ensure that you handle the update gracefully and consider user experience during the update process.

Make sure to replace placeholder URLs and customize the code according to your actual implementation. Additionally, handle errors appropriately and test thoroughly to ensure a smooth update process.

If you want to integrate Selenium with BrowseEmAll, you might consider the following general steps:

1. Install BrowseEmAll:

   • Make sure you have BrowseEmAll installed on your machine.

2. Write Selenium Tests:

   • Write your Selenium tests using the programming language of your choice (e.g., Java, Python, C#).

3. Configure Selenium WebDriver:

   • Configure Selenium WebDriver to use BrowseEmAll as the target browser. This might involve specifying the path to the BrowseEmAll executable or using a specific driver provided by BrowseEmAll.

4. Run Tests:

   • Run your Selenium tests, and BrowseEmAll should be used as the browser for testing.

Here's a basic example using Python and Selenium WebDriver (you may need to adjust the details based on the actual integration requirements and BrowseEmAll features):

from selenium import webdriver

# Configure Selenium WebDriver to use BrowseEmAll
# Example assumes BrowseEmAll executable is in the specified path
browseemall_path = '/path/to/BrowseEmAll.exe'
browser_exe = '/path/to/Chrome.exe'  # Path to the Chrome browser executable

options = webdriver.ChromeOptions()
options.binary_location = browser_exe
options.add_argument('--remote-debugging-port=9222')  # Specify the remote debugging port used by BrowseEmAll

# Use the BrowseEmAll executable as the ChromeDriver executable
driver = webdriver.Chrome(executable_path=browseemall_path, options=options)

# Run your Selenium tests
driver.get('https://example.com')

# Close the browser when done
driver.quit()

To save cookies in SQLite3 using Selenium, you'll need to follow these steps:

1. Install the required packages: Make sure you have Selenium and SQLite3 installed. You can install SQLite3 using pip:

pip install sqlite3

2. Connect to the SQLite3 database: Before saving cookies to SQLite3, you need to establish a connection to the database.

import sqlite3

# Connect to the SQLite3 database (or create it if it doesn't exist)
conn = sqlite3.connect("cookies.db")
cursor = conn.cursor()

# Create the cookies table if it doesn't exist
cursor.execute("""
CREATE TABLE IF NOT EXISTS cookies (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    name TEXT NOT NULL,
    value TEXT NOT NULL,
    domain TEXT NOT NULL,
    path TEXT NOT NULL,
    expiry TEXT NOT NULL
)
""")

# Commit the changes and close the connection
conn.commit()
conn.close()

3. Save cookies to SQLite3 using Selenium: In your Selenium code, you can save cookies to the SQLite3 database by iterating through the cookies in the browser and inserting them into the database.

from selenium import webdriver
from selenium.webdriver.chrome.options import Options
import sqlite3

# Set the path to the ChromeDriver executable
chrome_driver_path = "path/to/chromedriver"

# Set the preference to save downloaded files with a specific name pattern
options = Options()
options.add_argument("download.default_directory='path/to/download/folder'")
options.add_argument(f"download.download_path='path/to/download/folder'")
options.add_preference("download.filename_template", "%f - %r")

# Initialize the Chrome WebDriver with the specified options
driver = webdriver.Chrome(executable_path=chrome_driver_path, options=options)

# Your Selenium code goes here

# Connect to the SQLite3 database
conn = sqlite3.connect("cookies.db")
cursor = conn.cursor()

# Get all cookies from the browser
cookies = driver.get_cookies()

# Insert cookies into the SQLite3 database
for cookie in cookies:
    cursor.execute("""
    INSERT INTO cookies (name, value, domain, path, expiry)
    VALUES (?, ?, ?, ?, ?)
    """, (cookie['name'], cookie['value'], cookie['domain'], cookie['path'], cookie['expiry']))

# Commit the changes and close the connection
conn.commit()
conn.close()

# Your code to save the cookies to SQLite3

# Close the browser
driver.quit()

Replace path/to/chromedriver, path/to/download/folder, and %f - %r with the appropriate values for your setup.

This example saves the cookies from the browser to the SQLite3 database. You can modify the code to load cookies from the database and set them in the browser as needed.

The messenger has bots that allow you to get a free proxy - @socks5_bot. First, run the bot and select a location to connect to get the IP address, username, password and port. Now, in "Settings", find the "Data and Disk" section. There, under "Proxy Settings" enter the server, port, password and login. If the setting will be made in the "Desktop", in the menu will have to find "Connection method", select "TGP through Socks5" and enter similar data.