Build test bundle for AWS Device Farm

Build your XCTest or XCUITest bundle to upload to AWS Device Farm

How to use this Step

Can be run directly with the bitrise CLI, just git clone this repository, cd into it's folder in your Terminal/Command Line and call bitrise run test.

Check the bitrise.yml file for required inputs which have to be added to your .bitrise.secrets.yml file!

Step by step:

1. Open up your Terminal / Command Line
2. git clone the repository
3. cd into the directory of the step (the one you just git cloned)
4. Create a .bitrise.secrets.yml file in the same directory of bitrise.yml - the .bitrise.secrets.yml is a git ignored file, you can store your secrets in
5. Check the bitrise.yml file for any secret you should set in .bitrise.secrets.yml

• Best practice is to mark these options with something like # define these in your .bitrise.secrets.yml, in the app:envs section.

7. Once you have all the required secret parameters in your .bitrise.secrets.yml you can just run this step with the bitrise CLI: bitrise run test

An example .bitrise.secrets.yml file:

envs:
- A_SECRET_PARAM_ONE: the value for secret one
- A_SECRET_PARAM_TWO: the value for secret two

How to contribute to this Step

1. Fork this repository
2. git clone it
3. Create a branch you'll work on
4. To use/test the step just follow the How to use this Step section
5. Do the changes you want to
6. Run/test the step before sending your contribution

• You can also test the step in your bitrise project, either on your Mac or on bitrise.io
• You just have to replace the step ID in your project's bitrise.yml with either a relative path, or with a git URL format
• (relative) path format: instead of - original-step-id: use - path::./relative/path/of/script/on/your/Mac:
• direct git URL format: instead of - original-step-id: use - git::https://github.com/user/step.git@branch:
• You can find more example of alternative step referencing at: https://github.com/bitrise-io/bitrise/blob/master/_examples/tutorials/steps-and-workflows/bitrise.yml

7. Once you're done just commit your changes & create a Pull Request