![]() We will need to add the following classes/enums to the project. Now that the project has been created, the first thing that we want to do is to add some model classes for the objects that we want to expose with our API. The steps for API endpoints and Controller based APIs are the same, just chose the Controller options instead of Endpoints when applicable. For more info on the difference between Controller based APIs and Endpoint APIs, see this doc Choose between controller-based APIs and minimal APIs. In this sample we are using API endpoints instead of Controller based APIs, but you can follow along with Controllers. To follow along this tutorial, create a project named MyRestaurantService with the following options selected in the Additional Information page. ![]() In this post we will create an ASP.NET Core Web API for a fictitious take-out restaurant. In Visual Studio 2022 you can create a new project using the New Project dialog. ![]() To get started developing a Web API in Visual Studio the first step is to create a new project. Take a look at this video from Mads Kristensen covering some of the new updates that we will cover in this blog post. Getting started – creating a new API projectĪll of the code is available for you at sayedihashimi/RestaurantService: Sample ASP.NET Core Web API ().In this post we are going to show a full end-to-end for starting with a new project to developing a full Web API. Entity Framework tooling in Visual Studio.Some of the new features that we will cover in this post include. Your best bet is to use a previous entry as a template (increment the id number by 1).Ĭommit your change to the extensionsGallery.json file, then open a pull request from your fork.Download the latest Visual Studio 2022 Preview You can edit this file right in the browser – you’re going to be adding an entry to the results array with your extension information. Switch to the release/extensions branch and go to the _extensionsGallery.json _file. This creates a copy of the code in your account on Github for you to submit changes from. To publish your theme (or any other Azure Data Studio extension), follow through the next section.įind the Azure Data Studio repository on GitHub, and fork it. If you’re willing to share your theme, connect your repository to GitHub and push the source code. vsix file in the root folder of the project which can be used to install your theme anywhere. ![]() In the VS Code terminal, type vsce and hit enter. Update the _package.json _and README files with the relevant information. Now that your color theme is pretty much perfect, you can package it up using vsce. For documentation on all the theme options, check out the VS Code documentation. vscode/launch.json and replace the runtimeExecutable sqlops with azuredatastudio.Ĭhances are you’re better with colors and design than I am and won’t have any trouble coming up with a visually pleasing and functional color theme. Before you launch from the Debug menu, open. Now as you begin to adjust the colors of the theme, you can test it out by running a development instance of Azure Data Studio. In this instance, the FROM keyword in my query is tagged as, which means if I want those to stand out I need to adjust the settings for that scope. Now when you hover over your query text, the scope entries appear. You can get to the TM inspector by opening the command pallette in Azure Data Studio (ctrl+shift+p) and start the “Developer: Inspect TM Scopes” command. The primary task for creating a quality Azure Data Studio theme is paying extra attention to how TSQL is parsed and tagged by inspecting the TM (text mate) scopes in Azure Data Studio.
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