Torrentz Proxy

If you're working with Spring Boot in Java and need to parse JSON with multiple attachments, you might be dealing with a scenario involving HTTP requests with JSON payload and file attachments. In this case, you can use @RequestPart in your controller method to handle JSON and multipart requests.

Here's a basic example

Create a DTO (Data Transfer Object) class:

public class RequestDto {
    private String jsonData;
    private MultipartFile file1;
    private MultipartFile file2;

    // getters and setters
}

Create a controller with a method to handle the request:

import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestPart;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.multipart.MultipartFile;

@RestController
@RequestMapping("/api")
public class ApiController {

    @PostMapping("/processRequest")
    public ResponseEntity processRequest(@RequestPart("requestDto") RequestDto requestDto,
                                                @RequestPart("file1") MultipartFile file1,
                                                @RequestPart("file2") MultipartFile file2) {
        // Process JSON data in requestDto and handle file attachments
        // ...

        return ResponseEntity.ok("Request processed successfully");
    }
}

3. Send a multipart request with JSON and attachments:

Using tools like Postman or curl, you can send a multipart request. Here's an example using Postman:

• Set the request type to POST.
• Set the URL to http://localhost:8080/api/processRequest.
• Under the "Body" tab, select "form-data".
• Add three key-value pairs:
  • Key: requestDto, Value: {"jsonData": "your_json_data"}
  • Key: file1, Value: select a file
  • Key: file2, Value: select another file

Make sure you have the appropriate dependencies in your project for handling multipart requests. If you're using Maven, you can include the following dependency in your pom.xml:

    org.springframework.boot
    spring-boot-starter-web

Adjust the example based on your specific use case and the structure of your JSON data. The key point is to use @RequestPart to handle both JSON and file attachments in the same request.

Web scraping to collect email addresses from web pages raises ethical and legal considerations. It's important to respect privacy and adhere to the terms of service of the websites you are scraping. Additionally, harvesting email addresses for unsolicited communication may violate anti-spam regulations.

If you have a legitimate use case, here's a basic example in Python using the requests library and regular expressions to extract email addresses. Note that this is a simplistic example and may not cover all email address variations:

import re
import requests

def extract_emails_from_text(text):
    email_pattern = r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b'
    return re.findall(email_pattern, text)

def scrape_emails_from_url(url):
    response = requests.get(url)
    if response.status_code == 200:
        page_content = response.text
        emails = extract_emails_from_text(page_content)
        return emails
    else:
        print(f"Failed to fetch content from {url}. Status code: {response.status_code}")
        return []

# Example usage
url_to_scrape = 'https://example.com'
emails_found = scrape_emails_from_url(url_to_scrape)

if emails_found:
    print("Email addresses found:")
    for email in emails_found:
        print(email)
else:
    print("No email addresses found.")

Keep in mind the following:

1. Ethics and Legality:

   • Ensure that your scraping activities are ethical and comply with the laws and terms of service of the websites you are scraping.

2. Robots.txt:

   • Check the website's robots.txt file to understand if scraping is allowed or restricted.

3. Consent:

   • Respect user privacy and obtain consent if necessary.

4. Anti-Spam Regulations:

   • Be aware of and comply with anti-spam regulations in your region.

5. Variability of Email Formats:

   • Email address formats can vary, and the regular expression provided is a basic example. You may need to adjust it based on the actual formats you encounter.

6. Use of APIs:

   • If available, consider using official APIs provided by websites to access data rather than scraping.

To scrape comments from an XML file using C#, you can use the XmlDocument class, which is part of the System.Xml namespace. Here's a basic example demonstrating how to read and extract comments from an XML file:

using System;
using System.Xml;

class Program
{
    static void Main()
    {
        string xmlFilePath = "path/to/your/xml/file.xml"; // Replace with the path to your XML file

        try
        {
            XmlDocument xmlDoc = new XmlDocument();
            xmlDoc.Load(xmlFilePath);

            // Extract comments from the XML document
            ExtractComments(xmlDoc);
        }
        catch (Exception ex)
        {
            Console.WriteLine($"Error: {ex.Message}");
        }
    }

    static void ExtractComments(XmlDocument xmlDoc)
    {
        XmlNodeList commentNodes = xmlDoc.SelectNodes("//comment()");

        if (commentNodes != null)
        {
            foreach (XmlNode commentNode in commentNodes)
            {
                // Print or process the comment content
                string commentContent = commentNode.Value;
                Console.WriteLine($"Comment: {commentContent}");
            }
        }
        else
        {
            Console.WriteLine("No comments found in the XML document.");
        }
    }
}

In this example:

1. Replace the xmlFilePath variable with the actual path to your XML file.
2. The XmlDocument class is used to load the XML file.
3. The ExtractComments method uses an XPath expression (//comment()) to select all comment nodes in the XML document.
4. The comments are then printed or processed as needed.

Make sure to handle exceptions appropriately and adapt the code based on the structure of your XML file. If your XML file is hosted on the web, you can use XmlDocument.Load with a URL instead of a local file path.

To upload files using Selenium, you can follow these general steps:

Locate the file input element: Use Selenium's methods like find_element_by_id(), find_element_by_name(), or find_element_by_xpath() to locate the file input element on the webpage.

Send keys to the file input element: Use the send_keys() method to send the file path to the file input element. This will upload the file.

Here's an example using Python:

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.common.keys import Keys

# Replace 'your_url' with the URL of the webpage you want to open
driver = webdriver.Chrome()
driver.get('your_url')

# Replace 'file_input_id' with the ID of the file input element on the webpage
file_input = driver.find_element(By.ID, 'file_input_id')

# Replace 'path/to/your/file' with the path to the file you want to upload
file_path = 'path/to/your/file'
file_input.send_keys(file_path)

# Rest of your code

driver.quit()

Keep in mind that the specific method to locate the file input element and the file input element's ID or name may vary depending on the webpage you're working with.

Additionally, some websites may have specific requirements or restrictions for uploading files. In such cases, you may need to use JavaScript or other methods to bypass these restrictions. If you encounter any issues or need further assistance, please provide more information about the webpage and the specific error message or problem you're facing.

Extreme RAM consumption in Firefox Selenium can be caused by a variety of factors. Here are some steps you can take to troubleshoot and resolve the issue:

1. Update Firefox and Selenium: Ensure you are using the latest versions of Firefox and Selenium, as updates often include performance improvements and bug fixes.

2. Use Firefox Options: When initializing the Firefox WebDriver, pass the -marionette option to use the Marionette protocol, which can help reduce memory usage.

from selenium import webdriver

driver = webdriver.Firefox(executable_path, options=["-marionette"])

3. Use Firefox Profile: Create a custom Firefox profile and use it with Selenium to limit memory usage.

from selenium import webdriver
from selenium.webdriver.firefox.options import Options
from selenium.webdriver.firefox.firefox_profile import FirefoxProfile

profile = FirefoxProfile()
profile.set_preference("browser.sessionstore.max_tabs_undoc", 0)
profile.set_preference("browser.sessionstore.max_windows_undoc", 0)
profile.set_preference("browser.sessionstore.max_windows", 0)
profile.set_preference("browser.sessionstore.max_tabs", 0)

options = Options()
options.profile = profile

driver = webdriver.Firefox(executable_path, options=options)

4. Limit Browser Tabs: If you are using multiple tabs, try to limit the number of tabs open at the same time, as each tab consumes additional memory.

5. Disable Extensions: Disable any unnecessary browser extensions, as they can consume memory and slow down the browser.

6. Close Unused Windows: Close any unnecessary browser windows to free up memory.

7. Adjust Timeouts: Increase the implicit and explicit wait timeouts to reduce the frequency of operations that might cause memory leaks.

driver.implicitly_wait(10)
driver.set_page_load_timeout(10)

8. Use Headless Mode: Run Firefox in headless mode to reduce memory usage by not rendering the UI.

options.add_argument("--headless")

9. Monitor Memory Usage: Use tools like Task Manager (Windows) or Activity Monitor (macOS) to monitor memory usage and identify any specific tests or operations that are causing high memory consumption.

10. Profile Memory Usage: Use Firefox's built-in performance profiling tools to identify memory leaks and optimize your code.

If none of these steps resolve the issue, consider using a different browser or WebDriver, such as Chrome or Edge, which may have better memory management.