The pipeline is built around the .gitlab-ci.yml and it
includes several stages. Each stage contains one or multiple jobs that
are executed in order. Here are the tasks each job is responsible
for:
hadolint: This job is responsible for linting
Dockerfile. It uses hadolint to detect potential
issues.getsquid_vars: This job is responsible for getting the
required environment variables, including the version of Squid.docker-hub-build-arm and docker-hub-build:
These jobs build Docker images.docker-hub-test-arm and docker-hub-test:
These jobs test Docker images.dive-arm and dive: These jobs are
responsible for exploring and analyzing Docker images layers
content.push-docker-hub-arm and push-docker-hub:
These jobs are responsible for tagging and pushing Docker image to
Docker Hub.chatgpt_analysis: This job uses OpenAI GPT-3 model to
provide an in-depth, structured and detailed explanation of the
pipelines jobs, processes and outcomes.update_dockerhub_readme: This job is responsible for
updating the README.md file in the Docker Hub repository.Lines of code not annotated are self-explanatory (e.g., image specification, pipeline-level variables creation, job assignment to the related stage, etc.)
1. hadolint:
script:
- hadolint --ignore DL3008 Dockerfile The hadolint command above checks the Dockerfile for any potential
issues and best practices. The --ignore DL3008 argument is
used to ignore a specific rule (DL3008), which is “Pin
versions in apt get install”.
2. getsquid_vars:
script:
- curl -LsXGET https://github.com/squid-cache/squid/releases/latest | grep -m 1 "Release" | cut -d " " -f4 |tr -d 'v'The command above finds the latest version of Squid from GitHub and
sets it as the $SQUID_VERSION environment variable. The
curl command fetches the latest release version,
grep looks for the line containing “Release”,
cut splits the line and picks the 4th element (version),
and tr -d 'v' removes letter ‘v’ from the version.
3. docker-hub-build-arm and
docker-hub-build:
script:
- docker build -f Dockerfile --build-arg SQUID_VERSION=$SQUID_VERSION --pull -t $CONTAINER_BUILD_NOPROD_NAME_ARM .The
Docker build -f Dockerfile --build-arg SQUID_VERSION=$SQUID_VERSION --pull -t $CONTAINER_BUILD_NOPROD_NAME .
command builds a Docker image using the Dockerfile provided and sets the
build argument SQUID_VERSION with the value determined in
the getsquid_vars job.
4. docker-hub-test-arm and
docker-hub-test:
script:
- export https_proxy=http://$CONTAINER_TEST_NAME:3128 && curl -k https://www.google.frThe job tests the proxy capabilities of the Squid docker image by
setting the https_proxy environment variable to the proxy
provided by Squid. It then attempts to curl google.fr to
verify that the proxy and the Docker image is working properly.
5. push-docker-hub-arm and
push-docker-hub:
script:
- docker tag $CONTAINER_BUILD_NOPROD_NAME_ARM $HUB_REGISTRY_IMAGE:$SQUID_VERSION-arm
- docker push $HUB_REGISTRY_IMAGE:$SQUID_VERSION-armThese jobs tag the Docker image with the Squid version and Docker Hub informations and pushes the Docker image to Docker Hub.
6. chatgpt_analysis
This job uses several bash scripts and API calls to OpenAI GPT-3 to generate a well-rounded and detailed explanation of the pipeline processes and outcomes. Furthermore, artifacts are created to store the analysis from GPT-3 in markdown files.
7. update_dockerhub_readme
This job is using curl command to update the Docker Hub repository README with a payload extracted from the local repository README.
There are several environment variables in the
.gitlab-ci.yml file. Those are used to customize the build
and are denoted by the $ prefix. They make the script more
flexible and maintainable. For instance:
CONTAINER_CLIENT_IMAGE sets the image to be used in
some jobsHUB_REGISTRY_IMAGE specifies the Docker image’s name in
the Docker Hub repositoryCONTAINER_TEST_NAME is the name of the container to
testCONTAINER_BUILD_NOPROD_NAME_ARM is the name of the
non-production build for the ARM architectureSQUID_VERSION sets the Squid version for Docker image
building.DOCKER_HUB_REGISTRY sets the Docker Hub registry
address.DOCKER_HUB_USER and DOCKER_HUB_TOKEN are
used for Docker Hub authentication for pushing Docker imagesIn the .gitlab-ci.yml file the ‘=’, ‘>’, ‘<’,
‘||’, and ‘&&’ operators are also used. Each corresponds to
assignment, comparison, and logical OR/AND operators respectively.
Files are referenced with paths relative to the CI/CD runner’s build
directory, which is assigned by $CI_PROJECT_DIR.
Jobs across different stages can depend on each other by using the
needs keyword. For example,
docker-hub-test-arm depends on
docker-hub-build-arm. This means that
docker-hub-test-arm cannot run until
docker-hub-build-arm completes successfully.
The pipeline builds Docker images, tests them, tags the tested images with a version number and image name, and pushes them to Docker Hub. During the process, it generates detailed analysis for each job, stores it as markdown files and uploads them as artifacts. This means, at the end of the pipeline, there are new Docker images available on Docker Hub, and there are artifacts stored in GitLab that contain information about each job that ran in the pipeline.
The latest commit in the repository auto-updates the README.md file
and the last_squid_version.txt file which keeps track of
the latest Squid version. The [skip ci] tag in the commit
message instructs GitLab CI/CD to not trigger a pipeline for this
commit, since the changes to this commit (updating documentation) does
not require a new Docker image to be built and does not affect the
application’s functionalities.
Commit URL: ab9da6d README Auto update and update last_squid_version [skip ci]
Project: fredbcode-images/squid
Pipeline: Pipeline#2657133617
Docker images: fredbcode/squid