Скачать или смотреть How to Include a script.py in Your GitLab CI Configuration

Learn how to effectively include a `script.py` from another project in your GitLab CI/CD pipeline without directly uploading it.
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How to Include a Script in Your GitLab CI Configuration

If you've ever worked with GitLab CI/CD, you may find yourself needing to run a script that exists in a different project. This can be particularly challenging when you want to avoid duplicating files or maintaining multiple copies across various repositories. In this guide, we will address the question: How do I include a script.py in my .gitlab-ci.yml file?

The Challenge

In GitLab, you can't directly include files like Python scripts across different projects in your .gitlab-ci.yml file using URL references. However, there's still a way to access and run a script located in another repository. Let's explore this solution step-by-step.

Solution Overview

We can tackle this issue by creating an additional job in our CI configuration that will clone the external repository before running our main job. This job will serve as a setup stage to fetch the script and make it available as an artifact. Here’s a structured breakdown of the process:

Step 1: Set Up Your CI/CD Pipeline

In your .gitlab-ci.yml file, you'll define two main jobs, one for grabbing the script and another for your build process.

[[See Video to Reveal this Text or Code Snippet]]

Step 2: Explanation of Each Job

Job 1: Grab Python Script from Other Repo

Image Used:
You use the Git image to ensure that you have access to Git commands.

GIT_STRATEGY:
Setting GIT_STRATEGY: none indicates to the GitLab Runner not to clone the current project. This is useful because this job focuses solely on retrieving an external script.

Script:
The script executed here clones the target repository so that you can access script.py.

Artifacts:
The artifacts section allows you to specify that the script you fetched should be made available for subsequent jobs in the pipeline, with an optional expiry.

Job 2: Build Job

Image Used:
Use the appropriate image for your build environment.

Dependencies:
Here, you specify that this job requires the artifact from the previous job (the script).

Script:
You confirm the presence of script.py before performing the necessary actions with it in this part of the pipeline.

Further Considerations

Security: Ensure you have access to the repository you're cloning; permissions must be properly set for the CI/CD runner.

Failure Handling: The when: on_success line means if the clone job fails, no artifacts will be uploaded, which is crucial for managing build failures.

Expiring Artifacts: Choose an expiration time for artifacts that makes sense for your workflow to optimize storage.

Conclusion

By setting up a two-job structure in your GitLab CI/CD pipeline, you can effectively include a script.py from another repository without having to upload it directly to your project. Implementing this process ensures your CI configurations remain clean and efficient while leveraging existing scripts across projects.

Feel free to reach out if you have questions or need further assistance with your GitLab CI configuration!