This job belongs to the Get-version stage and is meant
to fetch and set the Squid version that will be used in the pipeline.
This includes the following actions:
Part of the Quality stage, its main goal is to validate
Dockerfile syntax using Hadolint.
These jobs, under the Docker-hub-build stage, build the
Docker image for Squid caching proxy. They log in to Docker Hub using
credentials provided in environment variables, then build and push
images to the Docker Hub registry. Jobs are separated for AMD64 and ARM
architectures.
These jobs are a part of the Docker-hub-test stage and
they test the Docker images built in the previous stage. They install
and use curl to send a request to Google via Squid. Again,
there are separate jobs for AMD64 and ARM architectures.
Also being a part of the Docker-hub-test stage, it
checks the squid configuration file for any parsing errors.
Both jobs analyze layers of Docker images created in previous stages.
These are part of the Docker-hub-pushtag stage. They
pull the Docker images built in the previous stages, tag them with the
Squid version, and push them back to Docker Hub.
This job belongs to the Docs stage. It involves GPT-4 in
a conversation regarding the pipeline. The response is processed into
Markdown and HTML formats, which are then stored as artifacts and
uploaded to a remote server using SCP.
The last job in the pipeline, a part of the Docs stage,
updates the README file in Docker Hub with the content of the README.md
file in the GitLab repository.
The purpose of this job is to fetch the latest Squid version, set a few things up, and commit this information for use by subsequent jobs.
# Update the OS package list
apt update
# Install necessary packages
apt install git curl ca-certificates -y --no-upgrade --no-install-recommends --no-install-suggests
# Fetch the latest Squid version from GitHub
export SQUID_VERSION=$(curl -LsXGET https://github.com/squid-cache/squid/releases/latest | grep -m 1 "Release" | cut -d " " -f4 |tr -d 'v')
# Store the Squid version in an environment file for later jobs
echo "SQUID_VERSION=$SQUID_VERSION" > variables.env
# Replace variables in the readme template file with these values to generate a final readme file
sed -i "s/{{SQUID_VERSION}}/$SQUID_VERSION/g" README_template.md
sed -i "s/{{DATE}}/$(date +%Y%m%d)/g" README_template.md
cp README_template.md README.md
# Push the updated readme file
git config user.email "fredbcode"
git config user.name "fredbcode"
git add README.md
git commit -m "README Auto update [skip ci]" || true
git push <your-git-repository> HEAD:master || trueThe purpose of this job is to ensure the quality of the Dockerfile by using the Hadolint tool to perform a syntax check. It is important as it assures that the Dockerfile is error-free before building Docker images.
The purpose of these jobs is to build the Docker image for both AMD64 and ARM architecture. If the build passes, the created image is pushed to Docker Hub.
The purpose of these jobs is to test if the built Docker image works as expected. It does this by running a curl command to Google via the Squid proxy.
This job aims to provide additional assurance that the Squid configuration is correct by checking if it can be parsed without any errors.
These jobs analyze each layer of the Docker Images built.
These jobs aim to tag images with relevant squid version and architecture type, then push them to Docker Hub for storage.
This job provides a text analysis of the pipeline using AI model GPT-4.
The purpose of this job is to keep the README on DockerHub updated with the content from GitLab.
variables.env: This file stores the value of
SQUID_VERSION fetched by the getsquid_vars job. It’s
created by the command
echo "SQUID_VERSION=$SQUID_VERSION" > variables.env and
used by various jobs in the pipeline.
In all the jobs, a number of environment variables are used, such as CI_PROJECT_DIR, CONTAINER_CLIENT_IMAGE (used to specify the Docker image), DOCKER_HUB_USER, and DOCKER_HUB_PASSWORD (used to login to Docker Hub), GITLAB_TOKEN (used to commit changes to the GitLab repository), and many more.
Several variables are defined within each job. For example, in the
getsquid_vars job, SQUID_VERSION is fetched
and then this variable is used throughout numerous jobs in the
pipeline.
Some jobs have the needs: field which specifies other
jobs on which they are dependent. For example, the
push-docker-hub job needs getsquid_vars and
docker-hub-test.
This means that push-docker-hub won’t start until
getsquid_vars and docker-hub-test have
successfully completed.
All jobs in the pipeline have a certain expected outcome which
typically involves the creation or testing of Docker images.
docker-hub-build and docker-hub-build-arm
result in Docker images, docker-hub-test and
docker-hub-test-arm test those Docker images,
push-docker-hub and push-docker-hub-arm push
the Docker images to Docker Hub.
In addition, the chatgpt_analysis job creates a Markdown
and an HTML Artifact that explains the pipeline. The
getsquid_vars creates ‘variables.env’ as artifact that
includes the Squid version.
The latest commit (9790c65 README Auto update [skip ci]) updates the README with the latest Squid version and date, also skipping a new pipeline trigger after this commit is pushed. Automating this task means the README stays up-to-date with the relevant information, without requiring manual intervention.