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GitLab CI YAML files containing useful template pipelines.
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README.md

GitLab CI YAML files containing useful template pipelines

As we built out the GitLab CI infrastructure for pyQuil and the Forest SDK, soon there was a lot of repeated YAML code so that each individual repository could run Python- or Lisp-based tests, and produce Docker images for all commits, pull requests, and releases. Fortunately, GitLab CI YAMLs contain the useful include and extends keywords, which allow for template jobs to be defined in separate files, and for the jobs in individual project YAMLs to inherit from them. Therefore, this repository was created to house these template YAMLs.

To take advantage of the Docker-related job templates, add the following to the top of the gitlab-ci.yml for the target repository:

include:
  - project: rigetti/forest/gitlab-pipelines
    file: docker.gitlab-ci.yml

NOTE: There is an additional forest directory included in the project path, as the GitLab mirror version of the repository is used by the include keyword.

To use the Docker-related templates (.docker-branch, .docker-edge, .docker-stable), add the following entries to the YAML:

docker-branch:
  extends: .docker-branch

docker-edge:
  extends: .docker-edge

docker-stable:
  extends: .docker-stable

In addition to providing those job entries, the jobs themselves depend on the existence of an IMAGE variable to operate correctly. This name of the desired Docker image, which will be built as part of the CI pipeline. For example, pyQuil has the following variables:

variables:
  IMAGE: rigetti/forest

To also take advantage of the Python-related job templates, add the following additional entry to the include section of the gitlab-ci.yml:

include:
  - project: rigetti/forest/gitlab-pipelines
    file: docker.gitlab-ci.yml
  - project: rigetti/forest/gitlab-pipelines
    file: python.gitlab-ci.yml

The .python template pulls out the shared installation commands into a before_script section, and assumes that your project has a Makefile with install and requirements targets defined. See the Makefile in the pyQuil project for more information.

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