This is a helper project which allows you to run screenshot tests for your React Native Storybook project with Applitools.

This project depends on having detox and storybook running in your project. You can read more about Detox and about Storybook

Also this project uses Detox Applitools testing as a dependency. You can check it here

npm install rnsst

Then create storybook.spec.js file in your detox tests.

const config = {
  port: 7007, // Optional port to run storybook server on, default is 7007
  runner: 'mocha' | 'jest', // Optional, default is mocha
  applitools: {
     apiKey: 'EYES_API_KEY', //Your key from applitools,
     appName: 'Your app Name',
     serverUrl: 'applitools server url', //Optional, leave empty if not using custom server
     batchId: 'Unique batch number, can simply be uuid.v4()',
     worker: 1, // Optional, leave empty if you are not using multiple Detox workers
     totalWorkers: 3, // Optional, leave empty if you are not using multiple Detox workers
  }
};

require('rnsst')(config, async () => {/* ...optional function to call before running screenshot tests, can be useful to navigate to storybook */});

Important: Storybook UI should be the only visible thing on the screen. Also make sure to hide status bar, so the clock does not break screenshot testing.

Then simply run detox tests.

Whenever you do some changes you can run detox tests to compare reference screenshots to current screenshots. After that you can check Applitools to see your changes.

This library works by setting up a websocket server and channel with your running storybook project. This way inside the tests we can retrieve story list and then run the tests on it.

• You can use ! as your first letter in story name to skip the story.
• If you are using mocha you can remove --bail option from mocha config to run all the tests
• Create a separate npm command to run only screenshot tests detox test PATH_TO_storybook.spec.js.

Contributions, issues and feature requests are welcome!
Feel free to check issues page.

This project is MIT licensed.