Norwegian Proxy

Technically, a proxy is an ordinary computer or server connected to a network (local or Internet). It accepts traffic from the user, redirects it to the address that was specified in the request. And then receives the response from the server and transmits it to the user's equipment. That is, it is actually an intermediary.

Google Chrome doesn't have a built-in function to work with a proxy server, although there is such an item in the settings. But when you click on it, you are automatically "redirected" to the standard proxy settings in Windows (or any other operating system).

In Swift 4 and later, the Decodable protocol provides a convenient way to parse JSON data into Swift objects. Here's an example demonstrating how to use the Decodable protocol to parse JSON in Swift:

Assuming you have the following JSON data:

{
    "name": "John Doe",
    "age": 30,
    "city": "New York"
}

And you want to create a Swift struct to represent this data:

import Foundation

// Define a struct conforming to Decodable
struct Person: Decodable {
    let name: String
    let age: Int
    let city: String
}

// JSON data
let jsonData = """
{
    "name": "John Doe",
    "age": 30,
    "city": "New York"
}
""".data(using: .utf8)!

// Use JSONDecoder to decode JSON data into a Person object
do {
    let person = try JSONDecoder().decode(Person.self, from: jsonData)
    print("Name: \(person.name)")
    print("Age: \(person.age)")
    print("City: \(person.city)")
} catch {
    print("Error decoding JSON: \(error)")
}

In this example:

• We define a Person struct that conforms to the Decodable protocol. The struct's properties match the keys in the JSON data.
• We create a JSON string and convert it to Data using data(using:).
• We use JSONDecoder to decode the JSON data into an instance of the Person struct.

Ensure that the keys in your Swift struct match the keys in your JSON data, and the data types match accordingly. The JSONDecoder automatically maps the JSON data to the struct based on the property names.

This example assumes a simple JSON structure. If your JSON structure is more complex, you may need to define additional structs conforming to Decodable to represent nested structures.

If PyCharm is not recognizing the Selenium library, there are a few steps you can take to resolve the issue

1. Check Project Interpreter

Ensure that you have the correct Python interpreter selected for your project. Open PyCharm, go to File > Settings > Project > Project Interpreter. Make sure that the interpreter you are using has Selenium installed.

2. Install Selenium

Install the Selenium library if you haven't done so. You can install it using the following pip command in your terminal or command prompt:

pip install selenium

3. PyCharm Reindexing:

   • Sometimes, PyCharm may not automatically recognize installed packages. Try restarting PyCharm, and it will perform a reindexing of your project. This may resolve the issue.

4. Virtual Environment:

   • If you are using a virtual environment, make sure it is activated. PyCharm should recognize the packages installed within the virtual environment.

5. PyCharm Cache:

   • Clear PyCharm's cache. Go to File > Invalidate Caches / Restart... and select "Invalidate and Restart." This will clear the caches and restart PyCharm.

6. Check Project Structure:

   • Verify that your project structure is set up correctly. The directory containing your Selenium scripts should be marked as the source root. Right-click on the directory and select Mark Directory as > Sources Root.

7. Check Python Path:

   • Verify that the Python path in PyCharm matches the path where Selenium is installed. You can check this in the Project Interpreter settings.

8. Check for Typos:

   • Ensure there are no typos or mistakes in your code. PyCharm might not recognize the library if there are syntax errors or import issues.

9. PyCharm Plugin:

   • Check if you have a PyCharm plugin related to Selenium. Some plugins provide additional support for Selenium. Make sure it is installed and enabled.

10. Update PyCharm:

    • Ensure that you are using the latest version of PyCharm. Updating to the latest version may resolve compatibility issues.

11. Recreate Virtual Environment (if applicable):

    • If you are using a virtual environment, try recreating it. Activate the new virtual environment and install Selenium again.

After going through these steps, PyCharm should recognize the Selenium library. If the issue persists, double-check your project configuration and make sure there are no conflicting settings or issues with your Python environment.

Install the Nginx web server and disable the virtual tail. Next, in the /etc/nginx/sites-available directory, create a reverse-proxy.conf file. The file should be saved after completing the installation and quit the editor by typing "wq. You can send information to other servers by using the ngx_http_proxy_module in the terminal. Now activate the directives and test Nginx and the reverse proxy.