LaTex Boilerplate

This is a simple preconfigured boilerplate for medium-sized LaTex projects including continuous integration for GitLab CI. It's based on the scrbook document class and currently layed out for german scientiefic documents. Furthermore, it provides the possibility to write documents in Markdown instead of LaTex.

Getting Started

To use this template in a new project, either download the ZIP directly from GitLab or clone it using Git:

git@gitlab.com:fastexitlane/latex-boilerplate.git
# now set up your own Git workspace:
git remote remove origin
git remote add origin git@your-own-gitlab.host:path/to/repo.git
git push origin master

If you already have set up an empty Git workspace for your project, add it as additional remote and then fetch and pull:

git remote add boilerplate git@gitlab.com:fastexitlane/latex-boilerplate.git
git fetch boilerplate
git pull boilerplate master
# if you don't want to keep the remote for pulling future updates, remove it:
git remote remove boilerplate

In order to setup the repo for CI / CD on GitLab and Azurre DevOps, as well as VS Code integration, run setup.sh latex or setup.sh markdown, depending in which workflow you want to use. CI will use Dockerized builds by default. If you want to use the workflow on GitLab, but with own hardware, make sure your GitLab CI meets the Basic Requirements.

If you know what you're doing, simply start adding your content files in chapter/ as LaTex \chapters and \input them into main.tex. You can then run the build using VS Code preconfigured tasks or using build.sh.

For Markdown, add your content as *.md files in chapter/ and prefix them with ascending numbers (to keep chapter sequence). You shouldn't need to \input or configure anything else, as the files are concatenated automatically at build time. Run build.sh pandoc to build your PDF.

If you do not know what you're doing or get into trouble - or want to use the Markdown Workflow, you may want to consider the wiki ;-)

Docker Images

If you need a Docker image to build your documents, head over to pandoc-latex (DockerHub). Also, there's a prebuilt Docker image for spellchecking using Hunspell - head over to docker-hunspell.