Codeception VS Faker

Personal experience: - don’t use Behat unless you really needed a “story telling”, it has a intermediate layer Gherkin that you’ll need to code. You can write “Given/When/Then” steps but you’ll also need to write “php code” that will interpret this step. - using real browser be prepared for instability - any interaction with JavaScript can broken/delay execution - be prepared that this tests are call functional they are the most expensive test, so start small unit then integration and only then functional. - use https://github.com/symfony/panther or https://codeception.com/ you’ll have phpunit alike interface to run them. - you’ll need to reset state of your database each time to provide “isolation” and stability

Codeception: https://codeception.com/

I would say to check out Codeception. Codeceptions has modules for Symfony and database generally. Long and short of it is that if you want you can run api tests that go into the controllers and rollback the database afterwards.

There are enough blog posts about Jest or Cypress already, so let me introduce Codecept. It comes in two flavors. There is Codeception for PHP, and there is CodeceptJS for JavaScript which we will be using here.

There are many tools you can use for this purpose, but one I particularly like is CodeCeption. What I like most about it is that it's a unified tool that can be used to perform several types of tests, acceptance being one of them.

This is a quote from this year's new Testify T-Shirt, my physical takeway from this event. While I don't agree that we should automate everything we can, I still chose this design as it shows Codeception code.

And within the Symfony ecosystem Codeception, which “collects and shares best practices and solutions for testing PHP web applications. With a flexible set of included modules tests are easy to write, easy to use, and easy to maintain.”

Faker is a PHP project that allows you to generate data for various testing scenarios. It excels in multilingual support, capable of generating fake data in multiple languages and diverse formats. This feature allows testing multilingual applications and enriching databases with authentic-looking test data.

I've worked with PHP's Faker library and the seeder included with Laravel. I had been able to populate the database with fake data but now I'm working with Django.

Now let's generate fake data for our user's table using the Laravel package, Faker.

more infos on the documentation : https://github.com/fzaninotto/Faker

You can use the Faker library in your user factory file.

To learn elasticsearch, you need lots of data to make queries as you want. I searched a few places to get a valid dump. But I couldn't find any dump that I can go with. Also what I found online, I am not familiar with the types of data. So, I thought to make a generator of my own. I have already used Artisan Console and fzaninotto/Faker, that's why I thought to make a generator that anyone can use with their terminal and generate the dump the way they wish.

Model factories in Laravel allow you to generate dummy/fake data using the Faker PHP library. The Faker library allows generating random data by specifying various attributes. With factories you define fake data to be generated for each attribute/column of your model. This not only saves you time of manually inserting database records, but enables you to save thousands of records in your database within seconds.

The original has been archived due to the amount of effort it took to update and has been forked into https://github.com/FakerPHP/Faker/, which is what Laravel now uses.

👉 https://github.com/fzaninotto/Faker