counterfeiter
migrate
counterfeiter | migrate | |
---|---|---|
12 | 72 | |
919 | 14,000 | |
- | 2.0% | |
7.5 | 8.0 | |
15 days ago | 11 days ago | |
Go | Go | |
MIT License | GNU General Public License v3.0 or later |
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counterfeiter
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Mocking database calls without a library?
then just replace whole function, don't generate manually the mock '__') or it would get out of hand fast, you can just use codegen that static typed like https://github.com/maxbrunsfeld/counterfeiter
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Is this a good way to make sure that a mocked function is called inside the Unit Test?
Yes, that's a good way to do that; there are a lot of packages that allow you to mock and spy the calls if you're looking for one that generates the code for you I can recommend counterfeiter, I also have a short blog that covers it.
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Libraries you use most of your projects?
I prefer https://github.com/maxbrunsfeld/counterfeiter
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How do you write/generate mocks for testing?
counterfeiter is another tool, it creates mocks, stubs and spies; here is a short blog I wrote covering it.
- Mocking Interfaces in Go with GoMock
- What's the best approach for mocking a function /method?
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Best/Easiest Rest Framework
for dependency injection I suggest you use https://github.com/maxbrunsfeld/counterfeiter, but if you using really fast database (that can spawn fast using docker and has fast trx/sec) you can use it directly without dependency injection with https://github.com/ory/dockertest
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Migrating from NodeJS/Typescript into Golang. Any advise for big web application?
Agree with u/mmknightx there is a tool that assist in creating fake or mock classes for your interfaces https://github.com/maxbrunsfeld/counterfeiter
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How do you control behaviour in mocked interface ?
Another alternative to use would be counterfeiter, it generates a type from your interface that could be used as a mock, stub or spy. I wrote a short post covering that tool if you're interested.
- Slack notification Github action
migrate
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Using migrations with Golang
Go does not natively support the use of migrations, but we could use the ORM that has this functionality, such as GORM which is the most used by the community, but We can use migrations without using an ORM, for this we will use the golang-migrate package.
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How to use SQLC with Golang
$ curl -L https://github.com/golang-migrate/migrate/releases/download/$version/migrate.$os-$arch.tar.gz | tar xvz
- Looking for recommendations for model/schema/migration management in Golang
- API completa em Golang - Parte 1
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Building RESTful API with Hexagonal Architecture in Go
Golang-migrate is a database migration tool designed for Go applications. It helps manage and apply changes to the database schema as the application grows, ensuring that the code and database structure stay in sync.
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Python: Just Write SQL
First of all, thank you for SQLAlchemy! If I ever had to make a final choice in how I would interact with a database for a very large project that involves a considerable dev team, I would always bet on SQLAlchemy. Not that I would necessarily like all aspects of it, but when it comes to Python and SQL - “Nobody ever got fired for picking SQLAlchemy.”.
With that out of the way, despite ORMs doing much more than "just writing SQL", it is exactly on that point that I flinch: Most devs should be exposed to SQL. And if your project allows you to build around simple enough abstractions so that you aren't reinventing the wheel, you should definitely be writing SQL. Especially if you don't know SQL yet - which is the growing case of new devs coming into the job market.
You can achieve a lot with SQlAlchemy Core, a tool that I absolutely recommend, but my post is just a simple alternative to get developers to think about their approach. If that results in some devs reconsidering using "full fat" SQLAlchemy and to try SQLAlchemy Core, that's a win for me!
Your gist tries to highlight the difficulty of doing certain things without an ORM. Migrations (as just 1 example) doesn't need to be hard, simple tools like flyway, or migrate (https://github.com/golang-migrate/migrate) achieve a similar result (while also keeping you on the path of writing SQL!). Deep and complex relationships between objects also don't need to be hard - typically people approach this subject with a requirement to be very flexible in the way they want to build queries and objects, but that to me in a sign that maybe they should reconsider their business logic AND reconsider that, just maybe, their project doesn't require all that flexibility, it is fairly straightforward to extend objects and introduce some more complex representations as and when it is needed - will all of this make me write code faster? Absolutely not. That is why you have spent so much time perfecting SQLAlchemy, but then again, I am not advocating for devs to go and replace their usage of ORMs, just presenting an alternative that may or may not fit their needs for a new project + give devs the chance to learn something that the ORM might have taken away.
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best practices for testing of stored procedure calls?
Doing this now with a mysql db for my use case. Using sp to take a large chunk of data migration load off my data layer code. I am using migrate (go library) for migrations and hooked it up with a bunch of test suites for all SP and Triggers it creates. I test it against a testDB maintained as part of my CI/CD. Haven’t had an issue with production yet. It does however require quite a bit of initial setup.
- Database migration tool
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REST API with Go, Chi, MySQL and sqlx
Before we can start using MySQL we need to create a table to store our data. I will be using excellent migrate database migrations tool, it can also be imported as a libraray.
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Authentication system using Golang and Sveltekit - User registration
We need a database table to store our application's users' data. To generate and migrate a schema, we'll use golang migrate. Kindly follow these instructions to install it on your Operating system. To create a pair of migration files (up and down) for our user table, issue the following command in your terminal and at the root of your project:
What are some alternatives?
gomock - GoMock is a mocking framework for the Go programming language.
goose
mockery - A mock code autogenerator for Go
goose - A database migration tool. Supports SQL migrations and Go functions.
Mmock - Mmock is an HTTP mocking application for testing and fast prototyping
pgx - PostgreSQL driver and toolkit for Go
prettybenchcmp - cmd tool for automatic storage and comparison of benchmarks results
tern - The SQL Fan's Migrator
gock - HTTP traffic mocking and testing made easy in Go ༼ʘ̚ل͜ʘ̚༽
gormigrate - Minimalistic database migration helper for Gorm ORM
mockhttp - Mock object for Go http.ResponseWriter
sqlx - general purpose extensions to golang's database/sql