counterfeiter VS mockery

then just replace whole function, don't generate manually the mock '__') or it would get out of hand fast, you can just use codegen that static typed like https://github.com/maxbrunsfeld/counterfeiter

Yes, that's a good way to do that; there are a lot of packages that allow you to mock and spy the calls if you're looking for one that generates the code for you I can recommend counterfeiter, I also have a short blog that covers it.

I prefer https://github.com/maxbrunsfeld/counterfeiter

counterfeiter is another tool, it creates mocks, stubs and spies; here is a short blog I wrote covering it.

for dependency injection I suggest you use https://github.com/maxbrunsfeld/counterfeiter, but if you using really fast database (that can spawn fast using docker and has fast trx/sec) you can use it directly without dependency injection with https://github.com/ory/dockertest

Agree with u/mmknightx there is a tool that assist in creating fake or mock classes for your interfaces https://github.com/maxbrunsfeld/counterfeiter

Another alternative to use would be counterfeiter, it generates a type from your interface that could be used as a mock, stub or spy. I wrote a short post covering that tool if you're interested.

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.