Proxy Comp

To add a custom method to a Selenium module, you can extend the existing Selenium class and add your method to the subclass. Here's an example in Python using Selenium WebDriver

Let's say you want to add a custom method named custom_method to the WebElement class in Selenium:

from selenium.webdriver.remote.webelement import WebElement

# Define your custom method
def custom_method(self, arg1, arg2):
    # Your custom logic here
    print(f"Custom Method: {arg1}, {arg2}")

# Add the custom method to the WebElement class
WebElement.custom_method = custom_method

# Now, you can use the custom method on any WebElement instance
driver = webdriver.Chrome()
element = driver.find_element(By.XPATH, "//input[@name='username']")
element.custom_method("arg1_value", "arg2_value")

In this example:

1. We import the WebElement class from selenium.webdriver.remote.webelement.
2. We define a custom method custom_method that takes two arguments (arg1 and arg2) and prints a message.
3. We add the custom method to the WebElement class by assigning it as an attribute (WebElement.custom_method).
4. We create a WebDriver instance and find a WebElement on the page using a locator (e.g., By.XPATH).
5. We call the custom method on the WebElement instance, passing the desired arguments.

This approach allows you to extend Selenium's classes with your custom methods. Keep in mind that modifying the core Selenium classes may have consequences, and you should be careful not to override existing methods or cause conflicts with future updates.

If you are experiencing TimeoutException errors when trying to run Selenium in headless mode in PyCharm, there are several potential causes and solutions. Here are some steps to troubleshoot and address the issue:

1. Increase Wait Time:

   • Headless mode may introduce additional latency, and elements might take longer to load. Increase the timeout for explicit waits to give the elements enough time to become available.

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(options=options)

# Increase the timeout as needed
wait = WebDriverWait(driver, 20)

# Example wait for an element to be clickable
element = wait.until(EC.element_to_be_clickable((By.ID, 'your_locator')))

• Use Different Locator Strategies:

  • If one locator strategy is causing timeouts, try using a different one. For example, switch from By.ID to By.XPATH or vice versa.

• Verify Element Identification:

  • Confirm that the element locator used in your script is correct and uniquely identifies the intended element.

• Check for JavaScript Errors:

  • Open the browser console and check for any JavaScript errors that might be affecting the behavior of the page.

• Increase Browser Window Size:

  • Some websites may behave differently in headless mode based on the window size. Try setting a larger window size.

options.add_argument('--window-size=1920,1080')

• Update ChromeDriver:

  • Ensure that you are using the latest version of ChromeDriver that is compatible with your Chrome browser version.

• Use a Custom User Agent:

  • Some websites may behave differently based on the user agent. Try setting a custom user agent.

options.add_argument('--user-agent=Your_Custom_User_Agent')

• Check for Captchas or Additional Security Measures:

  • Some websites may use captchas or additional security measures that could cause delays. Ensure that your script is not encountering captchas.

• Browser Profile:

  • In some cases, the behavior of the browser may change when running in headless mode. Experiment with different browser profiles or use a clean profile.

• Network Issues:

  • Ensure that there are no network-related issues that might be causing delays in loading elements.

• Check Proxy Settings:

  • If you are using a proxy, ensure that the proxy settings are configured correctly for headless mode.

• Headless Mode Compatibility:

  • Some websites may have issues with headless mode due to user agent detection or other factors. Test your script on different websites to see if the issue persists.

If you are having trouble adding a SonarQube server authentication token to Jenkins, follow these steps to troubleshoot and resolve the issue:

1. Verify SonarQube server URL and credentials: Ensure that you have the correct SonarQube server URL and credentials (username and password) for the authentication token. Double-check for any typos or errors in the information.

2. Generate a new authentication token: If you have already used the current authentication token or it has expired, generate a new one from the SonarQube server. To do this, log in to the SonarQube server, navigate to "Administration" > "Security" > "General Settings," and click the "Generate" button next to the "Authentication token" field. Copy the new token.

3. Update Jenkins with the new authentication token: In the Jenkins "Manage Jenkins" section, click on "Configure System." Scroll down to the "SonarQube Servers" section and select the SonarQube server you want to configure. Enter the updated SonarQube server URL, username, and the new authentication token in the respective fields. Save the changes.

4. Verify Jenkins plugin version: Ensure that you are using the latest version of the SonarQube Scanner plugin for Jenkins. Outdated plugins might not be compatible with the latest SonarQube server version. To update the plugin, go to "Manage Jenkins" > "Manage Plugins," find the SonarQube Scanner plugin, and click "Update."

5. Check Jenkins job configuration: Verify that your Jenkins job is configured to use the SonarQube server you just updated. In the job configuration, under the "Build" section, ensure that the "Analyze source code with SonarQube" checkbox is selected and the correct SonarQube server is selected from the dropdown menu.

6. Test the connection: Run a test Jenkins job to see if the connection to the SonarQube server is successful. If the job fails, check the console output for any error messages related to the SonarQube server or authentication token.

If you continue to face issues, consult the Jenkins and SonarQube documentation, or reach out to their support communities for further assistance.

To keep only unique external links while scraping with Scrapy, you can use a set to track the visited external links and filter out duplicates. Here's an example spider that demonstrates how to achieve this:

import scrapy
from urllib.parse import urlparse, urljoin

class UniqueLinksSpider(scrapy.Spider):
    name = 'unique_links'
    start_urls = ['http://example.com']  # Replace with the starting URL of your choice
    visited_external_links = set()

    def parse(self, response):
        # Extract all links from the current page
        all_links = response.css('a::attr(href)').extract()

        for link in all_links:
            full_url = urljoin(response.url, link)

            # Check if the link is external
            if urlparse(full_url).netloc != urlparse(response.url).netloc:
                # Check if it's a unique external link
                if full_url not in self.visited_external_links:
                    # Add the link to the set of visited external links
                    self.visited_external_links.add(full_url)

                    # Yield the link or process it further
                    yield {
                        'external_link': full_url
                    }

        # Follow links to other pages
        for next_page_url in response.css('a::attr(href)').extract():
            yield scrapy.Request(url=urljoin(response.url, next_page_url), callback=self.parse)

- visited_external_links is a class variable that keeps track of the unique external links across all instances of the spider.
- The parse method extracts all links from the current page.
- For each link, it checks if it is an external link by comparing the netloc (domain) of the current page and the link.
- If the link is external, it checks if it is unique by looking at the visited_external_links set.
- If the link is unique, it is added to the set, and the spider yields the link or processes it further.
- The spider then follows links to other pages, recursively calling the parse method.

Remember to replace the start_urls with the URL from which you want to start scraping.

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.