![]() If there are other visualizers you’d like to see us add to JetBrains Rider, please let us know in the comments below. ![]() We’d love you to try them out in your current workflows and give us feedback. URL-EncodingĪs you can see, these visualizers can help you work with commonly used data formats. With the new URL Encoding visualizer, you can see the decoded value of an encoded string.įor example, the following encoded value has several unique characters that would break a URL if they were in their original forms. As a web developer, you’re likely familiar with the typical encoded value of %20 (space), but there are so many more values that it’s unreasonable to remember them all. URL encoding is a necessary part of passing complex information from client to server without breaking the structural integrity of a URL. With the new JWT visualizer, JetBrains Rider can decode the value into human-readable JSON.Īnd now it’s decoded form in the visualizer. Commonly, you would have to use a secondary tool, such as JWT.io, to diagnose issues. You’ll typically need to inspect these base64 encoded values to determine user access issues. JWTs are an open standard for representing claims securely between parties and are the backbone of many modern auth systems. Additionally, JSON is formatted to make it easier to read and comprehend. Like the XML visualizer, you can access a JSON editor showing hints, warnings, and errors when looking at a JSON data variable. JSON is the language of the web-based protocol frameworks and likely the most commonly used data format of developers worldwide. You can also use the Raw tab to confirm your original payload. Structural issues will also be shown in the visualizers as problems. Using the XML visualizer, you’ll have access to the XML editing capabilities in JetBrains Rider, including downloading XML schemas to validate the current value. HTML and XML are very similar formats visually, but XML is a stricter syntax. The addition of syntax highlighting can make it easier to see if there’s any broken syntax in your payload. While the value is untouched by JetBrains Rider, the visualizer will still provide you with syntax highlighting. You can always view the raw value of the variable by clicking on the Raw tab. On-page assets are rendered, such as inline SVGs and images. The HTML tab can render the HTML but does not make any requests to secondary resources such as stylesheets, images, or JavaScript files. ![]() The first visualizer you’ll be looking at is the HTML visualizer. A visualizer is automatically chosen for you based on the contents of your variable, so there’s no need to fiddle around. The view link can be found in multiple places, including watches and locals in the debugger window, by clicking the inlay hint value or hovering over a symbol. When debugging the code, you can trigger any visualizer by clicking the view link. ![]() Var jwt = "eyJhbGciOiJIUzI1NiJ9.eyJuYW1lIjoiSm9lIENvZGVyIn0.5dlp7GmziL2QS06sZgK4mtaqv0_xX4oFUuTDh1zHK4U" Var json = await http.GetStringAsync("") Var html = await http.GetStringAsync("") Here’s a sample console application you can copy to follow along in your instance of JetBrains Rider 2023.1: Console.WriteLine("JetBrains Rider ❤️ Visualizers") Let’s look at each visualizer and how JetBrains Rider displays the values. While some previously mentioned formats straddle the line of human-readable, such as XML, URL, and JSON, the other formats of HTML, JWT, and URLs can be difficult to read. The first method is to show you an interpretation of your data that is easier to read. Each visualizer has two ways to represent your current data. With the release of JetBrains Rider 2023.1, we’ve introduced a new set of debugging visualizers to help you make sense of the data in your application’s memory. If you’ve been building applications for any time, you’ve likely run into the following commonly-used data formats: HTML, XML, JSON, JSON Web Tokens (JWT), and URLs. It’s not often you need to look directly at complex data formats, but it can help when debugging nagging problems in your codebase. As a developer, you deal with many data formats, some of which are friendly to humans while others are optimized for computers.
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