I've previously written about my love for Autofixture and why I recommend that you start using it within your project to help reduce the amount of boilerplate unit testing code that you will need to write (article found here). My testing framework of choice is usually NUnit, with a slow move over to xUnit. When working with Autofixture I bumped into a few issues getting the AutoData property to work with NUnit while using the Resharper test harness. If you find yourself in a similar situation (or you want to auto-inject interfaces with pre-populated data), then this is the tutorial for you.
Tip: If you look at the Autofixture documentation, it seems to have been written with xUnit in mind. I'd recommend that you try xUnit as you should be able to copy and paste code straight from the documentation!
Ok, so before we start I should admit. Technically I never actually got this working. Instead, I ended up creating a custom Moq attribute that works with Autofixture to achieve the same result. I won't take the credit for this, as most of the code is based on, AutoFixture.NUnit3.AutoDataConnector. As the link implies, to get the AutoData to work you will need to install yet another Nuget package, AutoFixture.NUnit3.AutoDataConnector.
After reading the AutoDataConnector, it mentioned adding an extra custom attribute that is required in order to get Autofixture working with interfaces. As most of my projects are heavily interface based, I did that. For reference the code for the attribute looks like this:
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Hi. I'm trying to open the auto data upload menu in the game's options menu. Will appear a window that allows us to view account link code, when pressed, it appears that the game always bounces to the Dashboard, but on the side of the RE Portal website, I have done all the steps, leaving only the view account link code because the RE Portal Just waiting for the Push Data game to come. I don't know how to solve this problem. I will give more details as follows.
In this post we have reviewed the generation of specific property values. Using the power of the AutoDataAttribute and TheoryAttribute we have taken code which would have to be written per test to now be done automatically. This allows developers to generate the poco instances required for testing their functionality and not spend time writing their own "Arrange" section to generate new poco instances.
Once the basic functionality is developed, the team is also maintaining the existing codebase and thus new features (from scratch) are less developed. Instead, the behavior of the application is extended step by step.These smaller changes feel to have a lower impact, resulting that fewer tests are written.The existing tests also receive less attention.
At some point, arranging a test might even be the trickiest part of the test.Worse, when the requirements change, we might lose the confidence the tests were giving us previously because they're not kept up to date.
The team is forced to change the application's code and the test code in one single go. When this point is reached, it's usually too late and the team wonders when things were starting to go downhill.
From my experience, a good test setup is a crucial factor that makes a test easy and fast to write (and to maintain), otherwise, a bad test setup makes the tests feel like an unpleasant chore to maintain which is a loss of time. This is caused because the tests are too much coupled to the application's codebase.Another point that makes unit tests hard to maintain are those tests that are testing implementation details, which is why I prefer to write integration tests but that's not what this blog post is about.
After the team refactored the tests, they are confident that their tests are robust against future model changes.What they don't realize is that this code needs to be maintained and that it needs to reflect model changes.Sadly, this isn't always as simple as it seems.
While this example is kept simple, I hope you get the point I'm trying to make here. There's even a chance that you've already experienced this in a real project.Maintaining test fixtures can be hard and time-consuming (having discussions with team members, having to write the code).Besides that, the test setup alone could take up a whole lot of lines of code.
This keeps things simple and it's a good way to become familiar with AutoFixture.On the other hand, it doesn't provide a complete answer to the problem.While the current implementation keeps testing models in sync with the application code and is fast to set up, it still doesn't keep the tests DRY.
Most of the properties of an object don't affect the business logic, thus these can just be ignored during the test setup.This drastically reduced the noise of my tests, and I was able to remove a lot of test setup code.Because there's a low coupling between the application code and test code, it also means that I don't have to go back to my tests every time a model is refactored.
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Simple and automatic data cleaning in one line of code! It performs one-hot encoding, converts columns to numeric dtype, cleaning dirty/empty values, normalizes values and removes unwanted columns all in one line of code.Get your data ready for model training and fitting quickly.
Writing test cases is integral part of our day-to-day work. Setting up test data and iterating through big objects is also a tedious activity. In certain circumstances, we must set dummy data, since our test does not depend on these values, but our construction code does. AutoFixture is a great way to dummy data for our testing purposes.
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