Working with .NET Core is so much fun, but it can be a little bit tricky sometimes, unit test projects with XUnit, how am I supposed to run the tests from CLI using .NET Core 2.1 runtime?
In this post I am going to quickly setup a .NET Core test project along with an XUnit test project and will run the tests on a Linux VM that I am going to setup with HashiCorp Vagrant.
Tests are important. In our AngularJS applications we have tons of stuff to test, we have unit tests on components, filters, directives and other AngularJS features, we have tests on templates and we also have tests on routes. Most sophisticated AngularJS applications might contain more than one page to display, so you need to have a routing mechanism to navigate to different components in the application.
The thing is how you test this? How you test your routed components? How you test the template with the routing directives?
That is exactly what I am going to talk about in this post. I prefer the AngularUI-Router, because it is really powerful, so this post will contain examples using this framework.
In this post I am going to talk about writing unit tests in .NET Core with NUnit and watch them for changes, re-running the test suite again, on the fly. Something you can have with NCrunch, but .NET Core has it for free.
Karma is an awesome testing environment, it is open source, it supports a plethora of testing frameworks and it is easy to use.
In this post I am going to create some simple tests, run them on Karma using Jasmine and finally, show some code coverage reports, through Karma coverage.
This post continues from earlier article on Unit testing and code coverage for ASP.NET Web API (1/2).
Much about the topic is inspired from the truly magnificent book “The Clean Coder: A Code of Conduct for Professional Programmers” of Robert C. Martin Series, which of course, I definitely recommend.
Specifying the low level architecture
Professional software developers always test their code. It is part of our daily job, we should be proud and flexible on writing tests. It is a proof that our code actually follows our intent, at least on system’s low level. There are many more tests to be followed, composing a testing strategy, but this post is going to focus solely on one aspect of such strategy, the unit tests.
This is the second post in the series on Web API. Topic is TDD and code coverage, so I am going to demonstrate how to unit test your core code, as well as the API code and in the end, how to measure the code coverage you achieved on testing your code base. First, I am going through the changes needed to take place in the application architecture and then I will go to tests, so this article is divided into two parts.
Let’s say we have the following, one class named
Implementor which has an
DoWork of the class, we call the interface’s method, but we also call another method, which comes by casting the dependency to a derived interface.
All, good, we go ahead and create a unit test project, adding the Moq package as well, in order to mock dependencies.