How do I configure a CI/CD pipeline in GitLab to manage and install Python dependencies using a virtual environment?
Asked 8 months ago
I'm setting up a CI/CD pipeline for my Python project in GitLab, and I want to ensure that it installs project dependencies within a virtual environment. What steps should I follow to configure this pipeline correctly?
Tomas Jenkins
Sunday, October 01, 2023
Follow these steps to configure a CI/CD pipeline in GitLab that manages and installs Python dependencies:
- Create a `.gitlab-ci.yml` file in the root of your repository.
- Define your CI/CD pipeline stages and jobs.
- Use a Docker image that includes Python and relevant build tools.
- Set up a virtual environment within your CI job and activate it.
- Install project dependencies using pip within the virtual environment.
- Execute your Python tests or application within the virtual environment.
- Ensure proper error handling and reporting in case of failures.
- Commit and push your `.gitlab-ci.yml` file to trigger the pipeline.
After running the build, make sure to review the build logs and check if there are any issues that may have caused a build failure.
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