go-sqlmock VS gotests

For that, I used the lib go-sqlmock. So, for example, the following snippet is part of the person/service_test.go file:

I’m writing a post about it! I will post soon, but you can use https://github.com/DATA-DOG/go-sqlmock to mock your database calls

It's not the right call IMO to skip mocking the database connection to achieve 100% test coverage. How your app will behave in failure scenarios that are impossible to imitate during integration tests is part of the software contract. If your choice is to panic, or return an error, document that by testing that behavior. If another dev, or future you inadvertently breaks the contract, the test suite will fail. That's what you want. For unit tests against your database you should be using either go-sqlmock if testing against database/sql or pgxmock if testing against pgx. That being said, the points raised elsewhere in this thread regarding unit tests potentially hiding edge cases in terms of how an actual database will interact with your application that are not reflective of your understanding when writing mocks are 100% valid. You should do both. Unit test your app and write integration tests as well. On my team, we run integration tests using docker-compose.

I use Sqlmock for that purpose

I use https://github.com/DATA-DOG/go-sqlmock for unit testing my data layer code. Most of the times, these tests help me to find errors whenever I do a refactor on the data layer, so I consider it a good safety net

Continuous Integration - Testify, sqlmock, Mockery, Github Actions

For testing DB queries I use https://github.com/DATA-DOG/go-sqlmock for unit tests. I then have a separate integration test suite that runs against all our services using Docker.

What can do this plugin? - Modify struct tags. - Run go get, go mod & go generate commands inside of nvim. - Implement interface by impl. - Generate tests by gotests. - Install required tools for plugin working(by go install).

Did you encounter gotests when you were doing your research? It's a table test generation tool that generates test code using t.Run(). I do wish it could generate tests using testify, because I frequently end up rewriting the code in the inner loop, but I still use it because it's better than I am about ensuring there's a test for all functions I write.

I use https://github.com/cweill/gotests to generate the test scaffolding.

You can save yourself a minute and generate the test case boilerplate for your with https://github.com/cweill/gotests :)