factory_bot VS pgx

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.

Sometimes, backend developers tend to opt for an ORM library because it provides an abstraction between your app and the database and thus there is little or no need to write raw queries and migrations which is nice. However, if you want to get better at writing queries (SQL for example), you need to learn how to build your repositories without an ORM. To open a database handle, you can either do it directly from the database driver or do it from database/sql with the driver passed into it. I will be opening the connection with database/sql together with pgx which is a driver and toolkit for PostgreSQL. Walk with me.

The infrastructure layer contains the concrete implementation of the repository domain interface ActivityRepository in the struct DbActivityRepository. This repository implementation uses the Postgres driver pgx and plain SQL to store the activity in the database. It uses the database transaction from the context, since the transaction was initiated by the application service.

For building the RESTful Point of Sale service API, I've considered and selected a combination of technologies that would work seamlessly together. For handling HTTP requests and responses, using the Gin HTTP web framework would make sense because I think it seems complete and popular among Go community too. To ensure data integrity and persistence, I'm using PostgreSQL database with pgx as the database driver, the reason I choose PostgreSQL because it is the most popular relational database to use in production and offers efficient Go integration. I'm also implementing caching using Redis with go-redis client library, which provides powerful in-memory data storage capabilities.

If you are willing to commit to working only with Postgres, I highly recommend pgx. Be sure you get the latest version github.com/jackc/pgx/v5. This gives you the full power of interacting with Postgres without going through an intermediate lowest-common-denominator library.

It uses pg package and pgx driver under the hood.

Starting off, is there any reason you're calling out to the CLI, instead of just using a Postgres driver like pgx? Shelling out to the command line should always be a last resort where possible as a software engineer.

For maintaining state I use PostgreSQL. Driver: https://github.com/jackc/pgx (I use the pgxpools) Along with Sqlc for generating database models and allowing me to focus on just building queries in DBeaver. https://sqlc.dev/

An example of what I'm looking for can be found here https://github.com/jackc/pgx/wiki/Getting-started-with-pgx-through-database-sql/c9f798b4d9a500fcf93931df2464af969d68f516

Except pgx recommends using their native interface, not database/sql, for performance and extra features [0], so it's not that simple in practice.

[0]: https://github.com/jackc/pgx#choosing-between-the-pgx-and-da...

pgx is “PostgreSQL driver and toolkit for Go”. Take a look at https://github.com/jackc/pgx