factory_bot VS sqlx

I made Factory-js inspired by factory-bot (https://github.com/thoughtbot/factory_bot), supports Prisma and Drizzle ORM and more. TypeScript is now widely used in both backend and frontend, but there is no de facto standard factory library. I'm developing a web application using Prisma, trpc, and nextjs, but I was struggling with how to write more beautiful and readable back-end tests. That's why I made factory-js.

factory_bot: A fixtures replacement

Not sure if you want the execution speed to be faster, or the development speed. If it's development, you can use FactoryBot in a script to generate data easily once you have your factories set up.

For instance, thoughtbot/factory_bot.

> if you're a bunch of tool makers and you all know your audience of tool users then there's no benefit at all to have someone offended by the word "tool" in your workforce.

It kinda reminds me of the factorygirl -> factorybot [0] story. It was a cute enough name for a technical tool that plays nice among bros, and down the line you end up renaming your package and deal with the drama.

On brand image, I get your point. I think the corporations doing it best tend to juggle with multiple brands and segment their market accordingly. Then yes, an homogeneous, single focus brand will be more valuable, as it also help to push people outside of the target to your other brands.

[0] https://github.com/thoughtbot/factory_bot/wiki

Not sure I follow why this question is related to an OS like Windows, but when it comes to RSpec testing with different users, I would use Factory Bot and define a User Factory and add Traits such as Admin & Non Admin and use them in specs with their pre-defined attributes to what they can access based on your User Model and call them within the specs.

The factory-bot gem is used in almost in all of our spec files and it make our set up much more easier than when we use fixtures. Here is the tradeoff, the easier the gem is to use, the more likely you’ll end up with some pain to control its usage. And when the times come to tackle slow tests, the best bet you can take is to start digging into you factories because it’s likely they are the primary reason why your test suite is slowing down

Efate is actually the second test fixture library I've written and there were several lessons I learned after using the first iteration for several years myself. The first version was influenced a great deal by factor_girl (called factory_bot now), with a heavy dependency on strings to define and create the fixtures. It also wasn't very modular. You couldn't just import a specific fixture, you had to bring in the whole library. And it wasn't very extensible, if you needed to define custom behavior for how a field should be created, it wasn't very pretty.

I work at thoughtbot, you might know us for our open source work like administrate, factory_bot or shoulda-matchers.

As we continue to level-up our skillsets as developers in Rails, the utility of POROs (Plain Old Ruby Objects) becomes more apparent and appealing. Sometimes, the business object(s) you create do not require persistent storage to a database and are, therefore, outside of the scope of an ORM (Object Relational Mapper) like ActiveRecord. But how do we maintain simplicity in our test suite and continue to leverage helpful testing libraries like FactoryBot without one? This instructional article explores how to implement factories for POROs including common pitfalls, building nested resources, and factory linting.

We've always used https://github.com/jmoiron/sqlx which is just the standard package + mapping to/from structs.

You can use this https://github.com/jmoiron/sqlx

I will be using sqlx to execute queries and map columns to struct fields and vice versa, sqlx is a library which provides a set of extensions on go's standard database/sql library.

sqlx + squirrel ftw

I'd rather suggest the use of tools more aligned with the core concepts of the language such as sqlx, which is an extension of the database/sql standard library. It allows you to use models/structs to map your tables but you have more control over the SQL statements you use to perform queries and the like. You can combine sqlx with Squirrel to build queries from composable parts.

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

This is the same situation I saw 20 years ago. Back then, all the managers were pushing development in Oracle tools. Those managers grew up on Oracle and Java was too modern for them. Now the situation is similar. Managers used to do things in Java and now they are still pushing Java. In fact, today Java brings nothing but problems. When I see a new project starting on Java it is always some big desperation. For a comparison of Java and Go, just look at the documentation for SQL. For go: https://pkg.go.dev/database/sql (31 pages) and maybe https://jmoiron.github.io/sqlx/ (12 pages). In Java only one class is 59 pages (https://docs.oracle.com/javase/8/docs/api/java/sql/ResultSet.html) and look how many of those documents there are: https://docs.oracle.com/en/java/javase/13/docs/api/java.sql/java/sql/package-summary.html and on top of that we have javax.sql - https://docs.oracle.com/javase/8/docs/api/javax/sql/package-summary.html And even then you use Hibernate for example, where the documentation has 11 manuals and of those the User Guide has 353 pages - https://docs.jboss.org/hibernate/orm/6.2/userguide/html\_single/Hibernate\_User\_Guide.html

sqlx