httprouter VS Testify

Following the completion of the series — Secure and performant full-stack authentication system using rust (actix-web) and sveltekit and Secure and performant full-stack authentication system using Python (Django) and SvelteKit — I felt I should keep the streak by building an equivalent system in PURE go with very minimal external dependencies. We won't use any fancy web framework apart from httprouter and other basic dependencies including a database driver (pq), and redis client. As usual, we'll be using SvelteKit at the front end, favouring JSDoc instead of TypeScript. The combination is ecstatic!

Gin is a web framework written in Go. It features a martini-like API with performance that is up to 40 times faster thanks to httprouter. If you need performance and good productivity, you will love Gin.

But, if you care about speed take a look at httprouter. That's the one we're using in our company. It's fast but the biggest downsides for me are:

Mir is a toolkit to develop RESTful API backend service like develop service of gRPC. It adapt some HTTP framework sush as Gin, Chi, Hertz, Echo, Iris, Fiber, Macaron, Mux, httprouter。

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here

Also, you seemed to have copied the path.go from Julien Schmidt's httprouter without even thanking or mentioning it in the README, which I think is not a good attitude. Yes, httprouter is BSD-3-Clause licensed, but showing the people that you took the code from some respect, should be a absolute must, in my opinon.

For a simple web app, https://github.com/julienschmidt/httprouter

Take this as the high-performing router (I used this in an early demo for the company I worked for when we considered Golang). https://github.com/julienschmidt/httprouter/blob/34250257ea144905c752bfaae80d6885f190daf6/tree.go

The julienschmidt/go-http-routing-benchmark is the julienschmidt/httprouter, but maintenance seemed to have stopped in recent years, so I decided to create my own benchmarker and implement it. I decided to implement bench markers.

As another aside, I will actively discourage Iris. https://github.com/julienschmidt/httprouter/issues/148 https://www.reddit.com/r/golang/comments/b481q7/a_warning_about_githubcomkatarasiris/

github.com/stretchr/testify

I then verify that there are no issues with writing the body with require.NoError() from the testify toolkit. This will ensure the test fails if something happens to go wrong at this point.

For testing purposes, Go provides a go test command that automatically discovers tests within your application and supports features such as caching and code coverage. However, if you require more advanced testing capabilities such as suites or mocking, you will need to install a toolkit like testify. Overall, while Go provides a highly effective testing experience, it's worth noting that writing tests in Python using pytest is arguably one of the most enjoyable testing experiences I have encountered across all programming languages.

Things I can't live without in a new Go project in no particular order:

- https://github.com/golangci/golangci-lint - meta-linter

- https://goreleaser.com - automate release workflows

- https://magefile.org - build tool that can version your tools

- https://github.com/ory/dockertest/v3 - run containers for e2e testing

- https://github.com/ecordell/optgen - generate functional options

- https://golang.org/x/tools/cmd/stringer - generate String()

- https://mvdan.cc/gofumpt - stricter gofmt

- https://github.com/stretchr/testify - test assertion library

- https://github.com/rs/zerolog - logging

- https://github.com/spf13/cobra - CLI framework

FWIW, I just lifted all the tools we use for https://github.com/authzed/spicedb

We've also written some custom linters that might be useful for other folks: https://github.com/authzed/spicedb/tree/main/tools/analyzers

Im thinking in wrap or not the library https://github.com/stretchr/testify to do my tests.

Are you limited to the std lib, or can you use testify? You can require things like require.Error()

IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here

To answer OP directly, I am largely quite happy with mockery (and testify) to write expressive tests.

Como herramientas te recomiendo: FastJson https://github.com/valyala/fastjson : Si necesitas leer jsons Testify https://github.com/stretchr/testify : Para mockear y testear