Bogus VS Moq

Code which uses Bogus NuGet package for random data.

Sometimes, especially when testing data-driven applications, it is important to simulate a wide variety of inputs and conditions. One of the best ways to achieve this is by using fake data generators. Tools like Faker (Python) or Bogus (C#) allow you to generate large volumes of realistic but random data. This is particularly useful when you need to test how your code handles various types of data (such as user information, addresses, or product details) without relying on real data.

In the project AdminApplication (Windows forms) done cheaply using NuGet package Bogus to generate users.

Bogus NuGet package data generator provides methods to work with DateOnly and TimeOnly that are not documented, learn these methods using an ASP.NET Core project and class project.

For assertions inside tests, I recommend using FluentAssertions Library. And if you want to generate some fake data for your tests, I recommend using Bogus.

Bogus NuGet package is fake data generator which can be helpful for populating tables in a database and testing purposes. If a database is not used and Bogus populates list of data each time an application runs, the data is random, never the same. Also, the random data generated by Bogus may not meet a developer’s requirements.

A list is populated with NuGet package Bogus.

Other project either mocked data using NuGet package Bogus or a json file.

That reminds me of Bogus which also generates dummy data that I've been using for sometime now.

To do all this you need test though...and that's where ]Bogus](https://github.com/bchavez/Bogus) and Auto Bogus come in handy. They both generate semi random test data that you can use to populate whatever method you've decided to use. You can setup rules so for specific fields, they have built in generators for common things like names and addresses. Auto Bogus can be used to populate large/complicated objects with data automatically (it can be slow if you don't use .WithRecursiveDepth() or.WithTreeDepth() )

8. Moq

In terms of mocking there are several frameworks you can use, but I've mainly relied on Moq and NSubstitute. Within this demo, I'm going to use NSubstitute as I've found it a little easier to use.

Or you just run into bullshit like https://github.com/Moq/moq4/issues/173

Now to the real benefit of DI: If you are testing a method in your application that calls the ReservationRepository.GetReservation() method, you can use a library like Moq to simply "mock" a class that uses the IReservationRepository interface and define the return result of the GetReservation() method. Pass the mocked class into the constructor of the class you are testing.

MOQ https://github.com/moq/moq4

Moq

Both projects use similar testing infrastructure. I write unit tests in C# using XUnit.net. I frequently use mock objects in testing, and MOQ is my tool of choice. I utilize continuous testing and coverage analysis through Rider. I do not have specific objectives for code coverage. When writing complicated algorithms, I frequently shoot for 100% coverage of the algorithm. I test simple properties inconsistently, and frequently do not test guard clauses.

🔗 Moq documentation | GitHub

But the reality is that I don't really write my tests with it. Toss on the MSTest attributes as needed of course. But all the testing code itself is FluentAssertions with a bit of Moq. (Though I find rarely need to use Moq/mocking anymore -- scandalous, I know.)