Category: Tips & Tricks

C# .NET – Generate error message when “async void” is used in code

The mentioned AsyncFixer extension and Nuget Package are super useful when dealing with async code. They both package a Roslyn analyzer that detects many async issues and provides an automatic fix for them as well in most cases. Using the .editorconfig in Visual Studio you can configure specific warnings as errors:
[*.cs] # AsyncFixer03: Fire-and-forget async-void methods or delegates dotnet_diagnostic.AsyncFixer03.severity = error
And you can set that straight from the Solution Explorer in case you’ve a

Source: c# – Generate error message when “async void” is used in code – Stack Overflow

Top 5 Tips for Angular Development With WebStorm | JetBrains

No matter how much familiarity you have with Angular, or how you feel about it, JetBrains IDEs can make your experience with this framework much better. In today’s FOMO digest, we’ll tell you about the features for working in Angular that you can find in JetBrains IDEs, such as WebStorm, IntelliJ IDEA Ultimate, PhpStorm, Rider, PyCharm Professional, GoLand, and RubyMine.

Source: FOMO Digest #2: Top 5 Tips for Angular Development With JetBrains IDEs | The WebStorm Blog

Use .http files in Visual Studio 2022

The Visual Studio 2022 .http file editor provides a convenient way to test ASP.NET Core projects, especially API apps. The editor provides a UI that:

  • Creates and updates .http files.
  • Sends HTTP requests specified in .http files.
  • Displays the responses.

This article contains documentation for:

The .http file format and editor was inspired by the Visual Studio Code REST Client extension. The Visual Studio 2022 .http editor recognizes .rest as an alternative file extension for the same file format.

Source: Use .http files in Visual Studio 2022 | Microsoft Learn

How to set memory limit for ElasticSearch in Windows

Running elasticsearch on my local development machine takes up half of system memory by default. Here is instructions on how to change max memory size.

Prerequisites:
* Windows 10
* This instruction is for Elasticsearch version 7.16.2 but probably works on other versions as well
* Running elasticsearch.bat (in development mode not as a service)

Goto folder:
“C:\elasticsearch\elasticsearch-7.16.2\config\jvm.options.d\”
Create file:
“jvm.options” (normal text file, utf-8)
Setting for maximum of 4GB memory allocation:

-Xms4g
-Xmx4g

Change both “4” values into other value if desired.
Restart elasticservice.bat

Instructions if running elasticsearch as a service on Windows:

You can set the memory limit for Elastic Search on Windows Server by following command:

[Elasticsearch Path]\bin>elasticsearch-service.bat manager

Note: Run command prompt as administrator

It will open manager as shown here: Image: ElasticSearch service properties

Now go to the ‘Java’ tab and change settings based on your requirement.

Note: Make sure, you changed it under ‘JavaOptions’ textbox and also for separate parameters. For example, to set 1GB initial memory pool and maximum memory pool, you can set ‘1024’ MB for both.

From: https://stackoverflow.com/questions/28798845/how-to-set-memory-limit-to-elasticsearch-in-windows

3 Ways to Clone Objects in JavaScript | SamanthaMing.com

Great blog post explaining different ways for cloning objects in JavaScript. Also explains the difference between shallow and deep copy.

As you can see, the deep copy is a true copy for nested objects. Often time shallow copy is good enough, you don’t really need a deep copy. It’s like a nail gun vs a hammer. Most of the time the hammer is perfectly fine. Using a nail gun for some small arts and craft is often case an overkill, a hammer is just fine. It’s all about using the right tool for the right job

Source: 3 Ways to Clone Objects in JavaScript | SamanthaMing.com

Top 9 GitHub Copilot alternatives (code completion tools) to try in 2022 (free and paid)

GitHub Copilot is a code completion tool from GitHub and OpenAI. It employs OpenAI’s Codex, a transformer trained on billions of code lines on GitHub, to auto-generate code based on the current file’s contents and your cursor location. Copilot is compatible with popular code editors like Visual Studio Code, Visual Studio, Neovim, and JetBrains IDEs and offers support for languages like Python, JavaScript, TypeScript, Ruby, and Go.

According to GitHub and user reviews, Copilot can generate whole code lines, functions, tests, and documentation. All it needs is context and the behind-the-scenes work of developers who committed their code to GitHub, regardless of their software license.

When the Copilot beta ended, GitHub released the pricing for individual users. The subscription included a 60-day free trial, which would turn to $10/month or $100/year per user.

Source: Top 9 GitHub Copilot alternatives to try in 2022 (free and paid)

Fine Code Coverage – Visual Studio Marketplace

Visualize unit test code coverage easily for free in Visual Studio Community Edition (and other editions too)

Coverage View
Source: Fine Code Coverage – Visual Studio Marketplace

Usage:

  1. Install
  2. Open the Fine Code Coverage window
  3. Run all unit tests
  4. See stats in Fine Code Coverage window
  5. Exclude the test project itself from coverage calculation:

    (Below excludes project that ends with .Test and all its types (*

Pattern: [assemblyname]type

Filter Expressions:

Wildcards
* => matches zero or more characters
		
Examples
[*]* => All types in all assemblies (nothing is instrumented)
[coverlet.*]Coverlet.Core.Coverage => The Coverage class in the Coverlet.Core namespace belonging to any assembly that matches coverlet.* (e.g coverlet.core)
[*]Coverlet.Core.Instrumentation.* => All types belonging to Coverlet.Core.Instrumentation namespace in any assembly
[coverlet.*.tests]* => All types in any assembly starting with coverlet. and ending with .tests

Both 'Exclude' and 'Include' options can be used together but 'Exclude' takes precedence.

How to Deserialize JSON to C# cherry-picking a small portion of JSON data

JSON deserialization in C# refers to the process of forming up .NET objects from a JSON string. Most of the time, this means creating strongly-typed POCOs. However, there are certain situations when we may prefer flexibility over type-inference. For example, cherry-picking a small portion of JSON data, dealing with external JSON data whose structure is largely unknown or changes very often, etc. Dynamic deserialization comes into play for such cases. This does not necessarily mean the use of language’s inbuilt dynamic keyword. There are other ways as well.We are going to see how we can do this using the native System.Text.Json library and the popular Newtonsoft.Json library.

Source: How to Deserialize JSON Into Dynamic Object in C# – Code Maze