This project sets up an one-click development environment for Open Telekom Cloud Architecture Center content creators, by using Dev Containers. A pre-configured container environment will be automatically created in Visual Studio Code and accessed as remote container, that has all the necessary tooling for creating new articles for the Architecture Center.
Important
Do not clone this repo, but instead fork it and clone your fork
This project is organized with Git Submodules, and that practically
means, that you should not import any repository you want to work with by cloning it with git clone <url>, but instead
importing as a submodule with git submodule add <url>.
The project is already pre-linked with the following GitHub repositories as submodules:
- opentelekomcloud-docs/architecture-center, you are not going to need this, unless you are actively involved in managing the public facing end-product.
- opentelekomcloud/otcdocstheme, you are not going to need it, if you are not actively involved in developing the themes of Help Center or Architecture Center
Caution
All submodules added in the project, are listed in .gitmodules. It is strongly advised not to alter this file manually.
The newly created or migrated content has always to go under /doc. There can be found two sub-folders:
/gitea.com, here should be cloned only the repos living in the internal git system/github.com, here should be cloned only the repos living in any public facing GitHub organization affiliated with Open Telekom Cloud
Always fork the upstream repos you are going to work with, unless you instructed otherwise, and add them as submodule in one of the aforementioned paths.
Important
If you are contributing new content, always clone your fork under gitea.com, do not create any branch or commits in opentelekomcloud-docs/architecture-center.
Under assets/templates, you can find a scaffold for two different kind of articles, an external and internal one. All you need (if you are contributing new content) is to make a copy of it and fill in the gaps according to the inline instructions.
Note
If you are curating migrated content, consult MIGRATION.md
Any IDE that supports Dev Containers, but in this case everything is tailored for Visual Studio Code, will build
a container with all the necessary prerequisites to get you started creating content immediately based on the extensions
and features defined in devcontainer.json. A python:1-3.9-bullseye container will be spawned with the following
extras pre-installed:
- Python, Python Debugger, Python Sphinx Highlighter
- reStructuredText, reStructuredText Syntax Highlighting, Extension Pack for reStructuredText
- Markdown, Markdown All in One, Markdown Preview Enhanced
- Git Graph
- Git
- tox
Important
During the provisioning of your container you will be asked to confirm the installation/activation of:
- reStructuredText docutils Preview Engine
- Esbonio Language Server
Click Yes to both of them.
You can add your own extensions in your Dev Container and customize it to the fullest. By right-clicking the desired extension in the Marketplace and choosing the "Add to devcontainer.json" the extension will be installed and activated the next time you rebuild your Dev Container.
Note
You can afterwards rebuild your container so the changes take effect, with our without using cache, in the latter case it will rebuild the container from scratch.
The Git extension will automatically forward your local SSH agent, if one is running otherwise it will use directly the git configuration of your local host. In that way you can take advantage of keeping tight control of your credentials and your SSH keys in one place, your local machine, and not spreading them individually to every new development enviroment.
You can additionally but not necessarily, fully automate your development lifecycle and provisioning by using the Open Telekom Cloud provider for Loft Labs' DevPod. DevPod is a a tool, similar to GitHub Codespaces, where you can spawn reproducible developer environments based on the backend of your choice (Azure, AWS, Docker, Kubernetes, Open Telekom Cloud etc) paying only for the machine you are using. Each environment is an isolated instance running in a container whose image is specified in devcontainer.json, as we discussed already.
