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gitlab-runner-api

Unofficial implementation of the GitLab runner client for making customised CI runners


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================= gitlab_runner_api

.. image:: https://github.com/chrisburr/gitlab-runner-api/workflows/Testing/badge.svg?branch=main :target: https://github.com/chrisburr/gitlab-runner-api/actions?query=branch%3Amain :alt: CI Status

.. image:: https://readthedocs.org/projects/gitlab-runner-api/badge/?version=latest :target: https://gitlab-runner-api.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status

.. image:: https://badge.fury.io/py/gitlab-runner-api.svg :target: https://pypi.org/project/gitlab-runner-api/ :alt: PyPI Package

.. image:: https://img.shields.io/conda/vn/conda-forge/gitlab-runner-api/ :target: https://github.com/conda-forge/gitlab-runner-api-feedstock/ :alt: Conda-forge Package

An unofficial Python implementation of the API for creating customised GitLab CI runners.

This package provides the basic functionality for registering a Runner <https://gitlab-runner-api.readthedocs.io/en/latest/runner.html#gitlab_runner_api.Runner>. This object can then be used to request a Job <https://gitlab-runner-api.readthedocs.io/en/latest/job.html#job-api> and communicate the log, status and artifacts back to GitLab. No functionality is provided to execute the payloads defined in the .gitlab-ci.yml.

This package was originally developed to support LHCb's Analysis Productions <https://gitlab.cern.ch/lhcb-datapkg/AnalysisProductions>_ by providing a CI runner that could submit jobs to LHCbDIRAC. More details can be found in TODO.

Registering a Runner

The simplest way to register a new Runner <https://gitlab-runner-api.readthedocs.io/en/latest/runner.html#gitlab_runner_api.Runner>_ is with the included command line tool:

.. code-block::

$ register-runner --help usage: register-runner [-h] [--locked] [--maximum-timeout MAXIMUM_TIMEOUT] api_url token output_fn

positional arguments: api_url token output_fn

optional arguments: -h, --help show this help message and exit --locked Lock the runner the to the current project --maximum-timeout MAXIMUM_TIMEOUT Maximum timeout set when this Runner will handle the job (in seconds)

For example

.. code-block:: bash

$ register-runner "https://gitlab.cern.ch/" "MY_REGISTRATION_TOKEN" "my-runner-data.json " --locked INFO:gitlab_runner_api:gitlab.cern.ch: Successfully registered runner 6602 (abcdefghij) INFO:gitlab_runner_api:gitlab.cern.ch: Successfully initialised runner 6602

where arguments can be found by navigating to the "CI/CD" page of the desired repository's settings.

Getting jobs

After a runner has been registered it can be loaded from the .json file and used to request jobs:

.. code-block:: python

from gitlab_runner_api import Runner runner = Runner.load("my-runner-data.json") runner.check_auth() if job := runner.request_job(): print("Received a new job, starting executor") my_job_executor(job) else: print("No jobs are currently available")

Executing jobs

A minimal CI executor might run as follows:

.. code-block:: python

from gitlab_runner_api import failure_reasons

job.log += f"Starting job with id {job.id} for branch {job.ref}\n" do_clone_and_checkout(job.repo_url, job.commit_sha) success = run_tests(job) if success: job.log += "All tests ran successfully\n" job.set_success() else: # ANSI formatting codes can be used to enhance the CI logs job.log += "\u001b[31mJob failed!!!\u001b[0m\n" job.set_failed(failure_reasons.ScriptFailure())

See the reference Job <https://gitlab-runner-api.readthedocs.io/en/latest/job.html#job-api>_ documentation for the full list of available properties.

Persisting jobs

For long running jobs it may be desirable to persist the job object between calls. This can be done using a similar interface to the pickle module in the Python standard library:

.. code-block:: python

job_data = job.dumps()

from gitlab_runner_api import Job job = Job.loads(job_data)

Note: The job log is included in the persisted data therefore the Job <https://gitlab-runner-api.readthedocs.io/en/latest/job.html#job-api>_ object cannot be persisted once and loaded multiple times without loosing the log messages.

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