This job, located in the Get-version stage, gathers the latest version of Squid from the official Squid GitHub repository, sets it as an environment variable, and replaces any placeholder in the README file with the actual Squid version and current date. This job also commits the updated README file to the Git repository, with an auto-update commit message.
Part of the Quality stage, this job runs the Hadolint Docker linter on the Dockerfile, which helps in maintaining best practices for writing Dockerfiles. DL3008 rule is ignored, which refers to pinning apt-get installs in the Dockerfile to prevent potential version conflicts.
In the Docker-hub-build stage, this job logs in to Docker Hub, builds an AMD64 Docker image of Squid based on the latest version gathered from getsquid_vars job, and then pushes this Docker image to Docker Hub.
During the Docker-hub-test stage, this job verifies the successfully built Docker image by attempting to proxy a curl request to Google’s homepage using the image.
Also part of the Docker-hub-test stage, this job checks the configuration file of Squid to ensure all configuration items are properly set.
This job compares the differences between each layer of the Docker image by using the Dive tool, enabling the team to understand how the image file structure changes with each new Docker layer.
At the Docker-hub-pushtag stage, the job logs in to Docker Hub, pulls the Docker image created by docker-hub-build, renames or tags it as both the version of Squid and ‘latest’, and then pushes these changes to Docker Hub.
This job operates similarly to docker-hub-build but instead builds an ARM Docker image. It’s part of the Docker-hub-build stage, and it pushes the ARM Docker image to Docker Hub.
Like docker-hub-test, this job is part of the Docker-hub-test stage, and it performs a test on the ARM Docker image built by docker-hub-build-arm. It verifies the image by proxying a curl request to Google’s homepage.
This job operates similarly to push-docker-hub. Part of the Docker-hub-pushtag stage, it appropriately tags and pushes the ARM Docker image to Docker Hub.
This is in the Docs stage, where it utilizes the OpenAI API to generate an in-depth automated analysis of the jobs in the CI/CD process. The job collects data such as job details, parameters, dependencies, and environment variables, sending it to the API to formulate a report. The report is then written to a markdown file and HTML file, which are stored as artifacts.
Also part of the Docs stage, this job updates the Docker Hub repository’s README with the Squid version and pushes it to the repository.
This job is needed to obtain the latest version of Squid. The curl command is applied to fetch the latest release of Squid from GitHub, with subsequent JQ and sed commands to populate the environment variable and README file with appropriate values. Git commands are used to commit these updates to the repository.
This job is important for maintaining high-quality Dockerfiles which follow best practice guidelines. Hadolint is the command used to execute linter check.
The job facilitates the necessary Docker build-push mechanism. Docker build is run using the –build-arg option to incorporate the latest Squid version, and Docker push sends this new image to the Docker Hub repository.
This testing job ensures that the built Docker image works as intended. Using the curl command, an attempt is made to proxy a request to Google’s homepage via the Docker image.
This job checks whether the configuration file of Squid is appropriate or contains any errors using the ‘squid -k parse’ command.
This job analyses the layers of a built Docker image, using the ‘dive’ command, which can help identify unnecessary files or bloat within the image.
This job updates Docker Hub with the new Docker image and ‘latest’ tag, so any pulls from Docker Hub will download the latest successful image.
This operates like docker-hub-build but is configured for an ARM architecture system. This makes the Docker image accessible to systems running on ARM architecture.
This job ensures the ARM Docker image is correctly set and functioning. Like docker-hub-test, this test uses curl to issue a request via the Squid proxy server.
This job updates Docker Hub with the ARM Docker image and two tags (version of Squid and ‘latest’), so any pulls from Docker Hub on image name will download the latest successful image.
This job is responsible for providing an end-to-end analysis of the CI/CD process, including every job and their details. It uses OpenAI API to create the analysis, writes the report in markdown and HTML file, and stores it as artifacts.
This job reads the local README file and sends its contents to Docker Hub with POST and PATCH requests. This ensures the Docker Hub repository’s description remains up to date.
The GitLab CI variables used include DOCKER_HUB_USER,
DOCKER_HUB_PASSWORD, and DOCKER_HUB_REGISTRY,
which are necessary for Docker operations. The
SQUID_VERSION environment variable is set in the
getsquid_vars job, and the CONTAINER_CLIENT_IMAGE,
CONTAINER_BUILD_NOPROD_NAME_ARM, etc. are defined globally
in the pipeline and referenced in multiple jobs.
The Dockerfile is used in the docker-hub-build and hadolint jobs. In hadolint job, the Dockerfile is lint checked while in docker-hub-build, it is used to build the Docker image. The README.md file is used in update_dockerhub_readme and getsquid_vars jobs. In getsquid_vars, README.md is updated with the latest version and date while in update_dockerhub_readme, the contents of README.md are sent to Docker Hub.
The needs keyword is used to define job dependencies.
For example, docker-hub-build depends on getsquid_vars because it needs
the Squid version, which is obtained by the getsquid_vars job. Similar
situations apply to docker-hub-test (depending on docker-hub-build) and
push-docker-hub (depending on docker-hub-test).
Several jobs are also inclusive, i.e., jobs extend ‘.services-amd64’ or ‘.services-arm’ which means they use Docker image and services defined in these hidden jobs.
Each job produces console logs which can be analysed in GitLab CI/CD pipeline views. Only the getsquid_vars job and the chatgpt_analysis job generates files as artifact
addef4b README Auto update [skip ci]
This commit automatically updates README.md with the latest version of Squid and the current date. The commit message includes [skip ci], which prevents GitLab CI/CD from triggering a new pipeline execution for this commit, reducing the number of unnecessary pipeline executions.