ozzo-validation VS Testify

go-ozzo/ozzo-validation

https://github.com/go-ozzo/ozzo-validation Seems to do what I need but likely will need some convoluted reflection to build out the rules. Also likely some custom rules to be written which is okay since it's a one time cost and reuse in the expressions.

Personally I use ozzo validation: https://github.com/go-ozzo/ozzo-validation

This looks useful, but what differentiates it from something like https://github.com/go-ozzo/ozzo-validation ? Why would I use Valgo over something battle tested that follows a very similar pattern?

This is where it gets spicy: I just don't get at all who ever though this struct-tag based validation library was a good idea https://github.com/go-playground/validator - and yet it's the most mainstream one. Try to implement your own type, you're up to register some global validation tag and repeat it every time you're using that type. I'm grateful https://github.com/go-ozzo/ozzo-validation exists, that's what I use. But it's still way behind the other things I mention, where in general, it's simply not possible to pass around an invalid struct - because it can't be built if it's invalid in the first place.

Gin comes with built-in "validation", while Echo recommends the same validator. I am also not a fan of magic struct tags, so I would probably prefer either writing my own or using something like ozzo.

Other packages of note: https://github.com/uber-go/zap https://github.com/go-ozzo/ozzo-validation

Does https://github.com/go-ozzo/ozzo-validation meet your requirements?

https://github.com/go-ozzo/ozzo-validation/blob/v3.6.0/struct.go#L61

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