In the previous article the Source Generator itself needed a 3rd-party library Newtonsoft.Json in order to generate new source code. The JSON-strings were hard-coded inside the Source Generator for simplicity reasons. In this article we will see how to process not just .NET code, but also other files, like JSON or XML.
There are a lot of things going on in the background, when a Blazor WebAssembly application is being started. In some cases you might want to take a bit more control over that process. One example might be the wish to display a loading screen for applications that take some time for initial preparation, or when users are on a slow internet connection. However, in order to control something, we need to understand what is happening first. This article takes you down the rabbit hole of how a Blazor WASM application starts up.
Blazor WebAssembly is a powerful framework for building web applications that run on the client-side. With Project Fugu APIs, you can extend the capabilities of these apps to access new device features and provide an enhanced user experience. In this article, learn about the benefits of using Project Fugu APIs, the wrapper packages that are available for Blazor WebAssembly, and how to use them in your application.
Whether you’re a seasoned Blazor developer or just getting started, this article will help you add superpowers to your Blazor WebAssembly app.
We previously talked about how to change the source code generation based on current project dependencies. In this article, the Source Generator itself needs a 3rd-party library, in our case Newtonsoft.Json. This library is a development dependency and will not be rolled out to production.
ASP.NET Core Blazor is Microsoft’s framework for implementing web-based applications, aimed at developers with knowledge of .NET and C#. It exists alongside other frameworks such as ASP.NET Core MVC. About two and a half years after the release of Blazor WebAssembly and based on our experiences from many customer projects at Thinktecture, we want to have a close look at the following questions: What is the current state of the framework? How can you successfully use Blazor? And where does it have limitations?
If you are working with Blazor, gRPC is a big issue for transferring data from APIs to clients. One issue of developing with gRPC-Web is debugging the transmitted data because the data is in an efficient binary message format. In this article, I will show you how to solve this problem with the help of my NuGet.
The requirement to store additional fields, unknown at development time, in a relational database is not new. Nonetheless, none of the projects I know of are willing to change the database structure at runtime. What if there is a project which needs dynamically created fields and doesn’t want or cannot use entity–attribute–value model or switch to No-SQL databases?
The Roslyn Source Generator, implemented in the previous articles of the series, emits some C# code without looking at the dependencies of the current .NET (Core) project. In this article our DemoSourceGenerator should implement a JsonConverter, but only if the corresponding library (e.g. Newtonsoft.Json) is referenced by the project.
The dependency injection system is a big part of how modern ASP.NET Core works internally: It provides a flexible solution for developers to structure their projects, decouple their dependencies, and control the lifetimes of the components within an application. In Blazor – a new part of ASP.NET Core – however, the DI system feels a bit odd, and things seem to work a bit differently than expected. This article will explain why this is not only a feeling but indeed the case in the first place and how to handle the differences in order to not run into problems later on.
In Part 1 of this series we’ve implemented a simple Incremental Source Generator. Although we looked at all mandatory phases of an IIncrementalGenerator, still, the consideration was quite superficial. One of the biggest advantages of the new API, which makes the Source Generator an incremental one, is the built-in memoization, i.e. caching. To take full advantage from it, we have to make some preparations so Roslyn knows what to cache and how to compare the results of each phase.
