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Start out by documenting general expectations on when CI is run, how anyone can run Azure pipelines, and how GitLab CI pipelines can be run. Signed-off-by: Tom Rini <trini@konsulko.com>
71 lines
3.3 KiB
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71 lines
3.3 KiB
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.. SPDX-License-Identifier: GPL-2.0+
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Continuous Integration testing
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==============================
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All changes require passing our continuous integration tests prior to being
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merged in to mainline. To help facilitate merges being accepted quickly,
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custodians are encouraged but not required to run a pipeline prior to sending a
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pull request. Individual developers submitting significant or widespread
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changes are encouraged to run a pipeline themselves prior to posting.
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In order to make this process as easy as possible, the ability to run a CI
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pipeline is provided in both Azure and GitLab. Both of these pipelines perform
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their Linux build jobs on the same Docker container image and to cover the same
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platforms. In addition, Azure is also used to confirm that our host tools can
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be built with mingw to run on Windows.
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Each of the pipelines is written in such as way as to be a "world build" style
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test and as such we try and build all possible platforms. In addition, for all
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platforms that support being run in QEMU we run them in QEMU and use our pytest
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suite. See :doc:`py_testing` for more information about those tests.
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Azure Pipelines
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---------------
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This pipeline is defined in the top-level ``.azure-pipelines.yml`` file.
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Currently there are two ways to run a Microsoft Azure Pipeline test for U-Boot.
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The first way is to create an account with Microsoft at
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https://azure.microsoft.com/en-us/services/devops/ and then use the
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``.azure-pipelines.yml`` file in the U-Boot repository as the pipeline
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description.
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The second way is to use GitHub. This requires a GitHub account
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and to fork the repository at https://github.com/u-boot/u-boot and to then
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submit a pull request as this will trigger an Azure pipeline run. Clicking on
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your pull request on the list at https://github.com/u-boot/u-boot/pulls and
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then the "Checks" tab will show the results.
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GitLab CI Pipelines
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-------------------
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This pipeline is defined in the top-level ``.gitlab-ci.yml`` file. Currently,
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we support running GitLab CI pipelines only for custodians, due to the
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resources the project has available. For Custodians, it is a matter of
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enabling the pipeline feature in your project repository following the standard
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GitLab documentation. For non-custodians, the pipeline itself is part of the
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tree and should be able to be used on any GitLab instance, with whatever
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runners you are able to provide. While it is intended to be able to run this
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pipeline on the free public instances provided at https://gitlab.com/ a problem
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with our squashfs tests currently prevents this.
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Docker container
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----------------
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As previously stated, both of the above pipelines build using the same Docker
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container image. This is maintained in the U-Boot source tree at
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``tools/docker/Dockerfile`` and new images are made as needed to support new
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tests or features. This file needs to be updated whenever adding new external
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tool requirements to tests.
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Customizing CI
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--------------
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As noted above, the CI pipelines perform a world build. While this is good for
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overall project testing, it can be less useful for testing specific cases or
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developing features. In that case, it can be useful as part of your own
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testing cycle to edit these pipelines in separate local commits to pair them
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down to just the jobs you're interested in. These changes must be removed
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prior to submission.
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