go-sqlmock VS mockery

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

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'm far too lazy to write mocks by hand in go. You can generate a mock for a given interface with mockery https://github.com/vektra/mockery

Some of the features: - ✅ Using Vertical Slice Architecture as a high level architecture - ✅ Using Event Driven Architecture on top of RabbitMQ Message Broker with a custom [Event Bus](pkg/messaging/bus/) - ✅ Using Event Sourcing in Audit Based services like [Orders Service](services/orders/) - ✅ Using CQRS Pattern and Mediator Patternon top of Go-MediatR library - ✅ Using Dependency Injection and Inversion of Controlon top of uber-go/fx library - ✅ Using RESTFul api with Echo framework and using swagger with swaggo/swag library - ✅ Using Postgres and EventStoreDB to write databases with fully supports transactions(ACID) - ✅ Using MongoDB and Elastic Search for read databases (NOSQL) - ✅ Using OpenTelemetry for collection Distributed Tracing with using Jaeger and Zipkin - ✅ Using OpenTelemetry for collection Metrics with using Prometheus and Grafana - ✅ Using Unit Test for testing small units with mocking dependent classes and using Mockery for mocking dependencies - ✅ Using End2End Test and Integration Test for testing features with all of their real dependeinces using docker containers (cleanup tests) and testcontainers-go library

Read mockery documentation: https://vektra.github.io/mockery/

https://github.com/vektra/mockery is the better mocking framework in my biased opinion. The Google maintainers for gomock seem to have neglected the project.

There are some one liner changes you can implement in https://github.com/vektra/mockery

When there's just one heavyweight dependency you're interacting with, perhaps a one-off stub/fake is simpler, but I would posit that auto-generated mocks via things like mockery + go:generate leave less test code to maintain vs. perhaps many stubs across the project.

Please take a look at the documentation linked here, and the related discussion topic that spawned this.

As you can see, the package has a chained method Logical().Write() . Since I want to create tests for PublicFunctionIWantToTest, I want to pass down all the functionality as interface so that I can use https://vektra.github.io/mockery/ to create mocks for it.