The analysis is based on the GitLab CI/CD pipeline for building the Squid project.
The following are the jobs in the pipeline of the
.gitlab-ci.yml file:
1. hadolint: This job is for checking Dockerfile best practices using Hadolint.
2. getsquid_vars: This job is for getting the latest Squid version from GitHub. It updates the README.md file with the obtained Squid version and the current date.
3. docker-hub-build: This script builds a Docker
image for Squid and pushes it to Docker Hub. It uses the Squid version
captured in the getsquid_vars.
4. docker-hub-test: This script will test docker image, it export https_proxy variable and try to curl https://www.google.fr.
5. SquidParseConfig: This job is to check the syntax of the Squid configuration.
6. dive: This job uses the Dive to inspect the details of Docker image and provide a quality report.
7. push-docker-hub: This script is used to tag and push images to Docker hub.
8. chatgpt_analysis: This job is running a ChatGPT based analysis and generates a detailed report in Markdown format.
9. update_dockerhub_readme: This job is updating Dockerhub readme with the Readme file from the repository.
hadolint: This job checks the Dockerfile with
hadolint for best practices. The job uses Hadolint’s docker image
available at hadolint/hadolint:latest-debian to lint
Dockerfile.
getsquid_vars: In this job, the latest Squid version is extracted from GitHub. It continuously updates the README.md file with the captured Squid version and the present date.
docker-hub-build: This script undertakes the building of the Docker image for Squid and pushes it out to Docker Hub.
docker-hub-test: To verify the built Docker
image, the docker-hub-test job is designed. It exports the
https_proxy variable and tries to curl
https://www.google.fr to ensure the proxy server works as
expected.
SquidParseConfig: Checks the syntax of the Squid configuration. It uses the docker build image and verifies that there are no syntax errors in Squid’s configuration files.
dive: This job uses the Dive tool for a detailed inspection of the created Docker image layers and provides a quality report.
push-docker-hub: A script that pushes the images that were previously tested and passes the quality check with the appropriate tags to Docker hub.
chatgpt_analysis: This job carries out a ChatGPT based analysis using Openai’s API, which generates a report in markdown format. The primary language of the job is shell scripting.
update_dockerhub_readme: The Docker Hub Readme file gets updated with the Readme file from the repository in this job.
Each job in the pipeline is run within a Docker container,
constructed from a Docker image defined in the image: key
for each job. The image: key specifies the Docker image to
use for the job.
Environment variables in the .gitlab-ci.yml file:
GIT_CLONE_PATH: determines the filesystem path to clone
the Git repository to for a CI/CD job.CONTAINER_CLIENT_IMAGE: the name of the Docker image to
use for certain jobs.CONTAINER_BUILD_NOPROD_NAME_ARM : the name to use for
building Docker images for ARM.CONTAINER_BUILD_NOPROD_NAME_AMD64: the name to use for
building Docker images for AMD64.These variables affect how jobs are executed in the pipeline.
Files referenced in the .gitlab-ci.yml file:
variables.env: This is an environment variables file
which is generated and used by several jobs in the pipeline.README.md: README file of the project, which is updated
by some jobs in the pipeline.Dockerfile: Instructions for Docker to build images are
housed in this file..gitlab-ci.yml: The GitLab pipeline configuration file
which governs the order and execution of all tasks in the CI/CD
process.In GitLab CI/CD, dependencies between jobs are managed through the
needs: key, which lists other jobs in the pipeline that
must be completed before the present job can be executed.
For example, in the job docker-hub-test the
needs: key value is [“docker-hub-build”], meaning that the
docker-hub-build job requires to be completed before the
docker-hub-test job can run.
At the end of every job, an archive of files produced during job execution — referred to as artifacts — is created. These are used in downstream jobs or can be downloaded for analysis after the pipeline execution.
Based on the artifacts: key in each job, the
chatgpt_analysis job, for instance, generates a markdown
file chatgpt_analysis* that is stored as an artifact for
one month.
Per the latest commit (0bc9159 Dockerfile README.md README_template.md docker-compose gitlabci squid variables.env README Auto update [skip ci]):
The latest commit automatically updates the README file. As indicated by the [skip ci] option in the commit message, this commit won’t trigger a new pipeline.
Project: https://gitlab.com/fredbcode-images/squid
Pipeline: https://gitlab.com/fredbcode-images/squid/-/pipelines/1623615440
Docker Images: https://hub.docker.com/r/fredbcode