My Website

This project serves two purposes for me.

• First, it produces an easily accessible and dynamic portfolio, resume and cirruculum vitae (CV) of my work as a leader, data scientist, and technologist. Through this I will link to publically shareable work to demonstrate my capabilities and past experiences.

• Second, it provides me further practice and experience integrating GitLab Continuous Integration / Continuous Delivery (CI/CD) actions with building and managing software container images, content delivery to Google Cloud Platform (GCP) resources such as Firebase Hosting, and practice implementing GitOps.

The Site

The foundation of this site comes from the Hugo Academic Theme which I cloned from the wowchemy academic GitHub project. Wowchemy also provides a demonstration of the base academic site.

The theme referenced above was meant to deploy into netlify automatically through GitHub Actions. This did not align with my previously stated project purpose so I altered the deployment model.

For that reason I broke this documentation into two primary sections, one explaining the site's content and another describing the mechanisms that enable me to build and deploy the site through GitLab powered GitOps.

Below is a table of contents for items in both sections:

Site Content

• None

Site Deployment

• Conatiner Image
• Local Development
• Build a New Academic Themed Hugo Site
• Connect to Google Firebase
• Employ GitOps: GitLab CI to Google Firebase
• Enable temporary Firebase Preview Channels

Site Content

Curricullum Vitae (CV)

My Curricullum Vitae is a longer, more detailed document as compared to my resume. The source information for my CV lives within my github profile.

Resume

Currently, the resume I show in this website comes from my LinkedIn profile. I will change this to a custom made file in the future.

Site Deployment

Container Image

In order to build the hugo site and push it to Google Firebase Hosting, I created my own container image. I use this container image within my GitLab CI Pipeline but have applied the same steps to my personal VS Code development container to have similar capabilities during development.

This container image is stored within this project's Container Registery and is rebuilt only when the hugo_dockerfile changes on the main branch.

The container currenly uses a Ubuntu-22.04 base image and installs the Google Firebase CLI, Hugo, Golang, and Python 3. In the near future I will update the base image to either UBI8 or Alpine to make the resulting container image smaller.

Docker File Explained

The dockerfile that specifies this container image build sequence is named hugo_dockerfile.

It is based on the official Ubuntu 22.04 (Jammy Jellyfish) container image and contains six build steps.

Build Step 1 - System

The base Ubuntu image is minimal so I first start by updating the package repo and upgrading all possible packages. Then I install curl and git which allows me to install other tools in future build steps.

Build Step 2 - Google Firebase CLI

Navigate to the /tmp/ folder and use curl to download the latest version of Google's Firebase CLI tools from Google.

Build Step 3 - Hugo Extended

Navigate to the /tmp/ folder and use curl to download hugo-extended from github. The Academic theme requires hugo extended rather than base hugo to build.

This download uses the environment variable set in line 4 of the dockerfile: ENV HUGO_VERSION. At this time it is version 0.100.2. gohugoio names is binaries in a consistent manner so the docker file builds the version into the binary file name format and saves it as the HUGO_BINARY environment variable.

This HUGO_BINARY env is passed to the curl command to download the desired version of hugo.

The dockerfile then uses dpkg to install that hugo binary package.

Build Step 4 - Go

The Academic theme also requires that Golang (a.k.a Go) is installed. I have not found a requirement for specific or super recent versions so I'll use the version of golang available in the apt-get repo.

In the future I may need to update this to pull a specific version.

Build Step 5 - Python

Install python 3 and pip to support the get_preview_url.py script used in the GitLab CI process. Currently I only use base python modules so there is no need to install additional modules.

Build Step 6 - Clean Up

In order to keep the container image as small as possible, this step removes everthing that was downloaded to the /tmp/ directory and clears all downloaded archive files.

Accessing the Container Image

The container registry this image is stored in is: registry.gitlab.com/nkester/about-me-site/hugo_build.

Each image is tagged with the git short commit SHA that corresponds to the commit that ran the build pipeline.

Additionally, I use floating tags so I can always access the most recent container image built on a branch. These floating tags correspond to the branch name. Therefore, the latest container image built on the production branch (main) is located at: registry.gitlab.com/nkester/about-me-site/hugo_build:main.

References

• As a guide I used marzouka's container image stored in GitHub.
• I also used the Google Firebase documentation to install and use the firebase cli.
• The GitLab docs on the GitLab-CI syntax is helpful, specifically the section on rules.
• How to install Golang on Ubuntu-22.04
• Future Work for installing specific versions Installing Golang

Local Development

I used the VSCode container I normally develop in for this purpose as well. In order to serve the website locally, however, we need to expose additional ports when the container starts.

My base VS Code container image does not include the Google firebase, Hugo, and GoLang dependencies required to develop this site. To support local development I've extended my base VS Code container image using the dev-ide_dockerfile. This is simply the same dockerfile specifications as is used to build and deploy the site but I use my VS Code container as the base.

Additionally, I save container image to this project's container registry through the .gitlab-ci.yaml specification to the registry.gitlab.com/nkester/about-me-site/dev_ide container registry.

Run this container image with the additional ports exposed with the following podman command.

podman run --rm -d -p 8083:8443 -p 1313:1313 -e PUID=1000 -e PGID=1000 -e TZ=America/New_York -e PASSWORD=mypass -e SUDO_PASSWORD=mypass -v neil-work:/config --name hugo registry.gitlab.com/nkester/about-me-site/dev_ide:develop

Serve the New Site Locally

hugo server --bind "0.0.0.0"

The --bind flag allows to see the served site outside of the container at the default 1313 port.

I can then navigate to localhost:1313 on my local computer to see the site served from my local VS Code development container.

Build a New Academic Themed Hugo Site

While I tried to add the theme as a hugo module, I ran into issues removing the examples provided in the demo site. I'll include those steps at the end of this section so I can try again later but in the mean time I went with the approach of cloning the template project.

1. Clone the template project

First, fork the theme's GitHub project or import it into a GitLab project. Do not enable mirroring.

Test the site builds properly with hugo serve --bind "0.0.0.0". This command allows us to serve the website from within my VSCode container exposed on port 1313.

2. Update the config.yaml file

The hugo configuration documentation does a good job describing how to organize configuration files. I have not yet implemented different configurations for development and production environments.

Navigate to ./config/_default/ to find the configuration files. This is where we can change our front matter and other parameters.

3. Get to Work

This is the starting point from which I can now begin updating content, adding my own widgets, and customizing the site.

XX. Using Hugo Modules for the Theme

Using Hugo modules allows us to loosely couple my project with the work accomplished by the theme's developers. This approach worked beautifully except for the fact that the Academic theme module includes all of the content provided for the demo site. Because those files are packaged up and I found no parameter to pass for ignore them, I was unable to edit or delete that content.

Step 1. Make your Project a Hugo Module

hugo mod init <project name>

Step 2. Specify Modules to Import

In your config.yaml file, add a stanza describing which hugo modules to import into your new module.

That stanza should look like this:

module:
  imports:
    # Project Theme
    - path: "github.com/wowchemy/starter-hugo-academic"

As described in the Using Modules article listed below, I've provided a comment on what that module import is for.

Step 3. Pull in that Module Dependency

Now that we've added the theme module to out config.yaml we need to pull it in with:

hugo mod get

Note: I got an error when I did this regarding some security issues. This is a known issue that is addressed in my second reference in this section. Deal with it by adding the following stanza to your config.yaml file.

security:
  funcs:
    getenv:  
      - "^HUGO_"
      - "^WC_"

Step 4. Serve the Website

Now we can serve the website as normal with hugo serve --bind "0.0.0.0"

The "vendor" command allows you to see what the contents of your site look like. Executing hugo mod vendor pulls in all of the files in the imported modules and places them in the _vendor directory. We can delete this directory when we are done looking at it.

The hosted vCard: I have provided a vCard (vcf file) in the /static/uploads directory. It is built by makevcard.py in the project's root directory. This does not re-build automatically so the python script needs to be re-run if changed. This does not, yet, pull from information in this site's Contact section but it should. If updating one, ensure to update the other until they are connected.

References:

• VERY USEFUL Using Modules
• Fix for security issue when building GitHub

Connect to Google Firebase

This assumes you have already created a Firebase CLI CI Token and stored it in the project's GitLab CI Variables section under the variable name FIREBASE_TOKEN. Do this by following the steps in Reference 1 of this section.

Execute these steps in the VS Code container I ran in the previous step or your own development environment.

Initializing the firebase project

navigate to the site's project directory and execute the terminal command: firebase init --token <your token>. This approach uses the CI token we generated previously. I've used this option so that I don't need to authenticate with google every time.

When you run this command, it will ask several questions. These were my reponses:

1. Creating a hosting service only
2. Use an existing project (I had already create a firebase project through the Firebase UI).
   a. This then gave me the option of which existing project I wanted to use.
3. Firebase asks what directory to use as your public directory. Hugo has already created a directory for us named public so we will use that. Respond to this question with public.
   a. The workflow will look like this: You add files to your hugo template in this GitLab project, hugo will then build those files into a static site and place those artifacts (results of the build process) in the public folder. Firebase will then deploy the contents of the public folder to Google's servers to be hosted.
4. Firebase asks if I want to configure this as a single-page app. I don't know but at this time I selected N.
5. I am using GitLab instead of GitHub so I selected N when asked to set up automatic build and deploys with GitHub.

Connect Your Firebase Project to your Domain

In order to do this, first get the information from your Firebase Project required to set up an A name in your domain record. This should be an option you can select from the Firebase GUI and should be under the Easy setup option, not the Advanced. It is simply the IPv4 address to your Firebase project hosted app.

Add a new domain record with your domain registry, request a new A record, and provide that IPv4. It may take some time to update but that should be all you need for a basic http site.

References

1. This reference from the Google Docs walks you through setting up the Firebase CLI in a headless continuous integration (CI) environment here.

2. Other information on the firebase CLI is here.

Employ GitOps: GitLab CI to Google Firebase

Implementing Automatic Builds and Deploys to Firebase through Google CI

Pre-requisites:

1. Now that we have the components: 1) FIREBASE_TOKEN in the GitLab project, 2) Firebase project initialized within the file structure of the GitLab project, 3) A container image that a GitLab Runner can execute to perform our operations, and 4) A domain name record that connects your domain name to the firebase hosting project. I used a subdomain off of my name nkester.com domain that I own.

2. As described previously, ensure the FIREBASE_TOKEN CI Variable is not "Protected" until you are ready to add this workflow to apply only to protected branches (a develop and main branch for instance).

GitLab CI .gitlab-ci.yaml File

This file describes all of the triggers that will initiate the GitLab CI pipelines, how those pipelines are organized, and what each job does.

For this project I have organized the pipeline into three stages: build, preview, and publish.

All jobs in this yml are set up as merge triggers so they only execute when a feature branch has a merge request into a protected branch (main or develop).

build

The build stage only has one job and is meant to build new container images, tag them appropriately, and store them in the project's container image registry.

To minimize un-needed build events, this job only triggers when the commit branch is either main or develop AND the hugo_dockerfile file has changed.

I have, however, retained the ability to execute this job manually if needed. This is useful when I want to pull in recent patches to the base container but the original dockerfile did not change.

Ensure the environment.url argument of the .gitlab-ci.yml is accurate. Also, ensure the only stanza indicates the correct branch you want this to execute on.

preview

The preview stage has one job and is meant to build the hugo site from the develop branch and deploy it to a temporary Google Firebase Hosting Preview Channel.

After the job builds the hugo site, it pushes it to the develop Google Firebase channel with a specification that the resulting dynamic URL only lives for 1 hour.

The job then uses the get_preview_url.py script I made to parse the json response from the firebase_cli to extract the dynamic preview url. Finally, it applies this URL to the review/develop GitLab environment that is accessible from the project's GitLab UI.

Access the GitLab Environments here

publish

The publish stage has one job and is meant to build the hugo site from the main branch and deploy it to production Google Firebase channel.

References

• GitLab Dynamic Environment URLs
• Firebase Reference Documentation * https://www.freecodecamp.org/news/hugo-firebase-how-to-create-your-own-dynamic-website-for-free-in-minutes-463b4fb7bf5a/
• hugo to firebase with gitlab ci