typhon VS krok

I've created StormRPC an abstraction or wrapper on NATS Request/Reply messaging capabilities. I'm a fan of the NATS project and wanted to see what it would look like to build a higher level RPC mechanism on top of it. This project is inspired by gRPC and monzo's Typhon.

The communicate via protobuf RPCs, which integrates with our own RPC framework typhon.

Booting up a database in a container is relatively fast now-a-days. Take a look here: https://github.com/krok-o/krok/blob/main/tests/livestore/init_test.go

An example for this you can find here: https://github.com/krok-o/krok/tree/main/pkg/krok/providers/handlers

Tests!!! You have none. :) If you want to test with a real DB instead of mocking everything you can do that with an ephemeral container that spins up relatively fast. Here is an example for that: https://github.com/krok-o/krok/blob/main/tests/livestore/init_test.go ( This might be a bit over your head depending on your experience maybe this post is better: https://docs.docker.com/language/golang/run-tests/ )

As others suggested, using the API is nicer. If you are looking for a nice example on how to do that take a look at my docker container executor code here: https://github.com/krok-o/krok/blob/main/pkg/krok/providers/executor/in_memory_executor.go :)

Here is an app where I'm using swagger and I create API documentation by using swagger generator and comments: https://github.com/krok-o/krok

I would like to present a project I've been working on for 1.5 years or so, called Krok Github, Krok Website.

Here is a fairly complex project which does just this: https://github.com/krok-o/krok

Adding to the other comments, this is how Krok uses swagger:

This creates a temporary database in a docker container while you are running your test. For an example look here: https://github.com/krok-o/krok/blob/main/tests/livestore/init_test.go