Footloker Proxy

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.

Building a chain of proxies in Selenium involves configuring a WebDriver with a Proxy object that represents a chain of proxies. Here's an example using Python with Selenium and the Chrome WebDriver:

from selenium import webdriver
from selenium.webdriver.common.proxy import Proxy, ProxyType

# Create a Proxy object for the first proxy in the chain
proxy1 = Proxy()
proxy1.http_proxy = "http://proxy1.example.com:8080"
proxy1.ssl_proxy = "http://proxy1.example.com:8080"
proxy1.proxy_type = ProxyType.MANUAL

# Create a Proxy object for the second proxy in the chain
proxy2 = Proxy()
proxy2.http_proxy = "http://proxy2.example.com:8080"
proxy2.ssl_proxy = "http://proxy2.example.com:8080"
proxy2.proxy_type = ProxyType.MANUAL

# Create a Proxy object for the final proxy in the chain
proxy3 = Proxy()
proxy3.http_proxy = "http://proxy3.example.com:8080"
proxy3.ssl_proxy = "http://proxy3.example.com:8080"
proxy3.proxy_type = ProxyType.MANUAL

# Create a chain of proxies
proxies_chain = f"{proxy1.proxy, proxy2.proxy, proxy3.proxy}"

# Set up ChromeOptions with the proxy chain
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument(f"--proxy-server={proxies_chain}")

# Create the WebDriver with ChromeOptions
driver = webdriver.Chrome(options=chrome_options)

# Now you can use the driver with the proxy chain for your automation tasks
driver.get("https://example.com")

# Close the browser window when done
driver.quit()

In this example:

Three Proxy objects (proxy1, proxy2, and proxy3) are created, each representing a different proxy in the chain. You need to replace the placeholder URLs (http://proxy1.example.com:8080, etc.) with the actual proxy server URLs.

The ProxyType.MANUAL option is used to indicate that the proxy settings are configured manually.

The proxies_chain variable is a comma-separated string representing the chain of proxies.

The --proxy-server option is added to ChromeOptions to specify the proxy chain.

A Chrome WebDriver instance is created with the configured ChromeOptions.

To reduce constant repetition of find_element() in Selenium, you can use the following techniques:

Store elements in variables:

When you locate an element once, store it in a variable and reuse it throughout the script. This reduces the need to call find_element() multiple times.

from selenium import webdriver

driver = webdriver.Chrome()
driver.get("https://www.example.com")

# Store the element in a variable
element = driver.find_element(By.ID, "element-id")

# Reuse the element
element.click()

Use loops and lists:

If you need to interact with multiple elements, store them in a list and use a loop to iterate through the elements.

from selenium import webdriver

driver = webdriver.Chrome()
driver.get("https://www.example.com")

# Find all elements and store them in a list
elements = driver.find_elements(By.CLASS_NAME, "element-class")

# Iterate through the list and interact with each element
for element in elements:
    element.click()

Use explicit waits:

Use explicit waits to wait for an element to become available or visible before interacting with it. This reduces the need to call find_element() multiple times, as the script will wait for the element to be ready.

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

driver = webdriver.Chrome()
driver.get("https://www.example.com")

# Wait for the element to become visible
wait = WebDriverWait(driver, 10)
visible_element = wait.until(EC.visibility_of_element_located((By.ID, "element-id")))

# Interact with the element
visible_element.click()

Use the all_elements_available attribute:

The all_elements_available attribute is available in some browser drivers, such as ChromeDriver. It returns a list of all elements that match the given selector. You can use this attribute to interact with multiple elements without using loops.

from selenium import webdriver

driver = webdriver.Chrome()
driver.get("https://www.example.com")

# Get a list of all elements that match the selector
elements = driver.find_elements(By.CLASS_NAME, "element-class")

# Interact with each element
for element in elements:
    element.click()

Remember to replace "https://www.example.com", "element-id", "element-class", and other elements with the actual values for the website you are working with. Also, ensure that the browser driver (e.g., ChromeDriver for Google Chrome) is installed and properly configured in your environment.

Technically, ISP can block only some intermediary servers by IP-addresses. But it's impossible to block absolutely all VPN-servers, because there are so many of them and their addresses are constantly changing. Accordingly, in this case, you just need to use another VPN-server.

Most users use A-Parser for this purpose. It is one of the best applications for checking web applications. There is a corresponding tab, "Proxy server", in the standard menu of A-Parser. It is where you can specify the settings for the connection. And in the "Tools" section you can use parameters for parsing.