Wednesday, September 21, 2011

 

Image sizing and scraping with JQuery and Rails


I know, I know, long time no type. Not my fault, I swear! First I went travelling, then I had a buncha work to do, then I went to San Francisco TechCrunch Disrupt, all of which occupied my time. Well, I suppose, on reflection, all those things were my fault, but, um ... look, I'm back now, OK?

Back with a li'l discussion of image sizing and scraping with Rails and JQuery, for a project I can't really talk about yet. Suffice to say that sometimes I want to calculate the size of various remote images - quite a lot of them, in fact, making performance important - and sometimes I want to scrape all the images from a set of web pages.

I thought the first task was going to be tricky. And maybe it is. But fortunately, someone has solved it for me, via the totally awesome FastImage Ruby gem, for which praise should be heaped upon one sdsykes. It works exactly like advertised, which is to say, like this:


  def self.picture_info_for(url)
    return nil if url.blank?
    begin
      size = FastImage.size(url)
      return size  #[width, height]
    rescue
      logger.info "Error getting info for picture at "+url.to_s
      return Array[0,0]  #this makes sense for my app, but maybe not yours
    end
  end


So, hurrah! This meant the scraping bit was actually tricker. Sure, I could have done it all in Rails, but it's user-facing, and I didn't want the user to have to wait for a bunch of potentially sequential http requests to complete without seeing any results. I could have done it all on the client side, but parsing HTML with Javascript, even with JQuery, sounded painful and fraught with difficulties, compared to using the dead-easy Hpricot gem. So I came up with a compromise I quite like:

1. On the client side: (written using HAML, which I mostly adore)
- @image_urls.each_with_index do |url,idx|
  = link_to url, url
  %div{:id => 'page_'+idx.to_s}     

%script
  $(function() {
  - @image_urls.each_with_index do |url,idx|
    $.ajax({
    url: '/stories/scrape_images?url=#{CGI::escape(url)}',
    success: function(msg){ $('#page_#{idx}').html(msg); },
    error: function(msg){ $('#page_#idx}').html(msg); }
    });
  });

2. On the server, to first create and then respond to that client page:
  def popup_scraped_images
    start_time = Time.now
    @image_urls = []
    @seed = Seed.find(params[:seed_id])
    @seed.active_signals.each do |signal|
      next if signal.main_url.blank?
      @image_urls << signal.main_url
    end
  end

  def scrape_images
    url = params[:url]
    slash = url =~ /[^\/]\/[^\/]/
    host = slash.nil? ? "" : url[0,slash+1]
    html = ''

    page = HTTParty.get(url, :timeout => 5)
    Hpricot(page).search("//img").each do |element|
      img_src = element.attributes["src"]
      img_src = host+img_src if img_src.match(/^\//)
      html += '<img src="'+img_src+'" />' if img_src.match(/^http/)
    end
  end


Hopefully how they all interact is self-explanatory. Et voila - semi-asynchronous Rails/JQuery image scraping, handled on the server side for easy caching if need be later on.

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"Image sizing and scraping with JQuery and Rails offers a powerful combination for web developers. This toolset simplifies the process of scraping data and manipulating image sizes, making it an efficient choice for various projects. The JQuery integration enhances client-side interactions, while Rails provides a robust backend framework. However, developers should ensure they handle scraping ethically and respect website terms of service. Overall, a valuable resource for web development tasks."
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The use of jQuery and Rails for image sizing and scraping is an effective combination for web development."
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The article on image sizing and scraping with JQuery and Rails is a comprehensive guide for web developers looking to efficiently manipulate and retrieve images. It provides step-by-step instructions, making it accessible to both beginners and experienced developers. The article emphasizes the use of JQuery for image manipulation and best practices for handling image scraping, such as rate limiting and error handling. The code examples are clear and well-commented, making them easy to adapt and integrate into projects. The article also provides a comprehensive understanding of various image formats and their pros and cons, emphasizing the importance of web scraping etiquette and respecting website terms of service. It also includes information on potential legal implications and data privacy concerns to educate developers on responsible scraping. Overall, this article is a valuable resource for developers interested in image manipulation and web scraping within a Rails environment.
 
When it comes to image sizing and scraping in a Rails application using jQuery, there are a few considerations and techniques you'll need to keep in mind.

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Image sizing and scraping are two critical aspects of web development and data collection, each with its own set of challenges and advantages. Properly sizing images is essential for optimizing web performance, user experience, and SEO. On the other hand, scraping, when done ethically and responsibly, allows us to gather valuable data from websites.

When these two processes come together, it's like the perfect pairing of form and function. Resizing images ensures that web pages load quickly and look great, while scraping allows us to obtain relevant data from images or websites. It's a harmonious blend of aesthetics and information, making the web a more efficient and informative place.

In a world driven by visuals and data, mastering image sizing and scraping is akin to unlocking the full potential of the internet. It's a true testament to the power of technology and innovation.

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The review discusses the use of JQuery and Rails for image sizing and scraping, highlighting its efficiency and well-implemented approach. The approach is thoughtful and responsive, ensuring a better user experience across different devices. However, there are areas for improvement, such as adding code comments to enhance readability, incorporating robust error handling mechanisms, and optimizing the process for performance. The review also highlights the importance of a structured code structure, which aids in readability and maintainability. However, there are areas for improvement, such as documentation and comments, addressing potential edge cases and errors, optimizing performance based on the scale of image scraping, and incorporating comprehensive test suites to ensure reliability and stability. In conclusion, the combination of JQuery and Rails for image manipulation and scraping is a promising solution, but further improvements are needed to enhance its robustness and maintainability. The review emphasizes the need for constructive feedback to refine the project and provide detailed insights into the project's different aspects. trucking accidents lawyer
 
Image sizing and scraping are crucial aspects of digital photography. Resolution and dimensions are often measured in pixels per inch (PPI) or dots per inch (DPI), while aspect ratio is the proportional relationship between the width and height of an image. File size is the amount of space an image occupies on disk, influenced by compression, image quality, and dimensions. Optimizing file size is important for web performance. Image editing software like Adobe Photoshop, GIMP, or online tools like Canva can be used to resize images, maintaining the aspect ratio and considering the final use (web, print) for appropriate resolution. Online image resizers offer quick image resizing, but caution is advised, especially with sensitive or high-resolution images. Image scraping involves extracting information, including images, from websites using Python libraries like BeautifulSoup and Scrapy. It is important to respect copyright laws and intellectual property rights when scraping or downloading images. Always check the terms of service of a website before scraping, as some websites explicitly prohibit scraping in their terms. Some websites provide APIs for images that allow for ethical and efficient access and download. However, it is essential to respect the rights and policies of the website you are interacting with and be cautious about the legality and ethics of image scraping, especially for commercial purposes.accident cement truck
 
Buen Abogado para Automovilístico de AccidenteThe author apologizes for a prolonged absence due to travel, work commitments, and attending TechCrunch Disrupt in San Francisco. They introduce themselves with a self-aware tone, adding humor and relatability. They discuss image sizing and scraping using Rails and JQuery for a project not yet disclosed. The author mentions calculating the size of remote images, focusing on performance, as a practical application for the techniques discussed. They acknowledge someone has already solved the image sizing task using the FastImage Ruby gem, indicating their appreciation for the tool's functionality. The author praises sdsykes for the FastImage Ruby gem, highlighting its reliability. The author will provide a demonstration or example of the FastImage gem's functionality. The discussion extends beyond image sizing, scraping all images from a set of web pages. The tone combines technical information with a conversational and approachable style, making the content engaging for readers interested in web development with Rails and JQuery.
 
Image sizing and scraping involve retrieving images from the internet and managing their sizes. Legal and ethical considerations include ensuring the right to access and use the images, respecting copyright laws and terms of use, and ensuring permission and attribution. Websites may require attribution or specific terms for using their content. Reviewing the robots.txt file and terms of service is crucial to avoid violating any rules. Ethical scraping tools or libraries, such as BeautifulSoup and Scrapy for Python, should follow best practices. Respectful crawling involves implementing a delay between requests to avoid overwhelming the server. Understanding image dimensions, aspect ratio, resolution, quality, and compression is essential for a respectful and non-disruptive scraping process. Thumbnails can be used for quicker loading times when working with large numbers of images. Responsive design techniques can be used to serve images based on the user's device and screen size. Batch processing tools can be used to resize multiple images simultaneously, especially when dealing with large datasets Optimizing user experience is crucial when displaying images on a website or application. Always check the terms of use and licensing agreements for any images you acquire, and respect the rights of content creators for ethical and legal image use.virginia statute of limitations personal injury minor
 
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The integration of JQuery and Rails in the context of image sizing and scraping makes it possible to manipulate and extract images from a web application efficiently. JQuery makes client-side scripting easier, allowing for smooth user interactions with images and dynamic resizing. Rails is a powerful web application framework that makes handling and processing of image data scraped from servers easier. By maximizing user experience, this synergy enables developers to design aesthetically pleasing and responsive user interfaces. To guarantee seamless integration and adherence to legal and ethical standards in web development, however, careful consideration of performance and ethical scraping practices is necessary.
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Image sizing and scraping are crucial tasks in handling images on the internet for various purposes, such as projects, websites, or data analysis. To ensure ethical practices, it is essential to be aware of copyright laws and terms of service, use official APIs when possible, respect robots.txt files, implement rate limiting, use Python libraries like BeautifulSoup and Scrapy, and use library-like requests to download images. For image sizing, consider resizing for consistency, maintaining the aspect ratio to prevent distortion, compressing images for web use, keeping high-resolution versions for printing, and generating thumbnails for quicker previews. Batch processing tools can save time when dealing with large datasets. Image libraries like Pillow can automate resizing and other modifications. Responsive design is essential for responsive websites, as images scale appropriately for different screen sizes. Always be mindful of the terms of use for images scraped and respect the rights of content creators. Additionally, consider the ethical implications of web scraping and ensure that your activities align with best practices and legal standards. In summary, image sizing and scraping are essential tasks for various purposes, including maintaining image quality, reducing file size, generating thumbnails, batch processing, using image libraries, and adhering to ethical guidelines.uncontested divorce new jersey
 
Wow, this blog post on image sizing and scraping with JQuery and Rails is incredibly informative! As a web developer, I have always struggled with optimizing images and retrieving them from external sources.
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The review discusses image sizing and scraping using JQuery and Rails, providing a concise overview of key concepts. It covers technical jargon, in-depth explanations of image sizing, and the scraping methodology. Code snippets are clear and well-commented, and considerations for responsive design are discussed. The review also addresses potential challenges, security implications, performance optimization tips, and future development areas. It emphasizes the importance of ethical scraping practices and avoiding legal issues. The review concludes by summarizing key takeaways and suggesting areas for improvement in the context of image sizing and scraping using JQuery and Rails.
 
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Image sizing and scraping are two essential processes in web development and data collection. Image sizing involves adjusting the dimensions of an image, such as width and height, for various purposes like optimizing web display, ensuring consistency in gallery layouts, or preparing images for print. It can be done using image editing software like Adobe Photoshop, GIMP, or online tools. Web scraping involves extracting data from websites, including text, images, links, and other elements. It is commonly used for market research, content aggregation, and data analysis. When combining image sizing and scraping, one common scenario is building a dataset for machine learning and resizing them to a uniform size for processing or display. To approach image scraping and sizing, identify the websites to scrape images, use web scraping tools or libraries to extract image URLs from the HTML, download the images, handle errors and exceptions gracefully, and respect website policies and robots.txt directives. Resize the images using image processing libraries like PIL or OpenCV, maintaining the aspect ratio to prevent distortion. Save the resized images to the desired location or format.contract dispute litigation
 
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Image sizing and image scraping are two distinct aspects to consider when resizing images for web or app use. Image sizing involves adjusting the dimensions (width and height) and resolution of an image to fit a specific need, such as for use on websites, mobile apps, or other media. Key considerations in image sizing include resolution (measured in DPI), dimensions (in pixels), file size (in KB, MB, etc.), and aspect ratio (the relationship between the width and height of an image). Image resizing techniques can be found online through tools like [Pixlr] or [ResizeImage.net], software tools like Adobe Photoshop or GIMP, batch resizing using tools like Adobe Lightroom or specialized batch-processing software, and responsive design by creating multiple versions of an image for different screen sizes. CSS techniques like `srcset` can be used to serve the appropriate image size based on the viewer's device.Image scraping is the process of extracting images from websites, typically using a script or a tool. Web scraping can be useful for gathering large datasets, including images for research, content aggregation, or building datasets for machine learning. Legal and ethical considerations include copyright laws and terms of service. Common techniques for image scraping include using web scraping libraries like BeautifulSoup, Requests, Selenium, and Scrapy.montgomery personal injury lawyer

 
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Image sizing and scraping are two essential tasks that require efficient and ethical handling. Image sizing involves resizing images for various uses, such as websites, social media, or print. Techniques for resizing images include aspect ratio maintenance, cropping, and compression. Tools for resizing include online tools like Canva, ResizeImage.net, Adobe Express, software like Photoshop, GIMP, or IrfanView, and code-based solutions like Python with libraries like Pillow or OpenCV. Common use cases include web optimization, preparing assets for social media platforms, and standardizing image sizes in data analysis or machine learning projects. Image scraping involves extracting images from websites for data collection, research, or creative projects, but must respect copyright laws and terms of service. Methods for scraping images include manual downloading, automated tools like Python with `BeautifulSoup`, Selenium for dynamic content, and APIs like Google Images API for legal and structured image retrieval. Best practices include checking permissions, throttling requests, metadata handling, and respecting copyright. Challenges include dynamic content loading via JavaScript, CAPTCHAs blocking scraping, and format issues with JPG, PNG, or WebP formats.portsmouth personal injury lawyer
 
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