Convert YML to RST

Why Convert YML to reStructuredText?

Converting YML files to reStructuredText is ideal for Python developers and teams that use Sphinx for their documentation. When configuration files such as Docker Compose setups, CI/CD pipelines, or application settings need to be included in project documentation, converting them to RST creates properly formatted content that integrates seamlessly with Sphinx-generated documentation sites.

Many open-source Python projects host their documentation on Read the Docs, which uses Sphinx and RST natively. By converting YML configuration files to RST, you can include them directly in your docs with proper headings, field lists, and code blocks. The hierarchical structure of YML maps naturally to RST section headings, and key-value pairs become field lists — a native RST construct.

Key Benefits of Converting YML to RST:

• Sphinx Integration: Include configuration documentation in your Sphinx project directly
• Read the Docs: Publish YML-based docs on Read the Docs hosting platform
• Cross-References: Link configuration sections to other parts of your documentation
• Field Lists: YML key-value pairs convert naturally to RST field lists
• Code Blocks: Configuration examples are rendered with syntax highlighting
• Multi-Format Output: RST via Sphinx can produce HTML, PDF, EPUB, and more

Practical Examples

Example 1: Docker Compose File

Input YML file (docker-compose.yml):

version: "3.8"
services:
  web:
    image: nginx:latest
    ports:
      - "80:80"
      - "443:443"
  redis:
    image: redis:alpine

Output RST file (docker-compose.rst):

Docker Compose Configuration
============================

:version: 3.8

services
--------

web
~~~

:image: nginx:latest

ports
^^^^^

* 80:80
* 443:443

redis
~~~~~

:image: redis:alpine

Example 2: Python Project Configuration

Input YML file (config.yml):

project:
  name: my-python-app
  version: 2.1.0
  python_requires: ">=3.8"
dependencies:
  - requests>=2.28
  - pydantic>=2.0
  - sqlalchemy>=2.0
testing:
  framework: pytest
  coverage_threshold: 85

Output RST file (config.rst):

Project Configuration
=====================

project
-------

:name: my-python-app
:version: 2.1.0
:python_requires: >=3.8

dependencies
------------

* requests>=2.28
* pydantic>=2.0
* sqlalchemy>=2.0

testing
-------

:framework: pytest
:coverage_threshold: 85

Example 3: GitHub Actions Workflow

Input YML file (ci.yml):

name: CI Pipeline
on:
  push:
    branches:
      - main
      - develop
  pull_request:
    branches:
      - main
jobs:
  test:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version:
          - "3.10"
          - "3.11"
          - "3.12"
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python
        uses: actions/setup-python@v5
      - name: Run tests
        run: pytest --cov

Output RST file (ci.rst):

CI Pipeline
===========

on
--

push
~~~~

branches
^^^^^^^^

* main
* develop

pull_request
~~~~~~~~~~~~

branches
^^^^^^^^

* main

jobs
----

test
~~~~

:runs-on: ubuntu-latest

strategy
^^^^^^^^

matrix - python-version
"""""""""""""""""""""""

* 3.10
* 3.11
* 3.12

steps
^^^^^

* uses: actions/checkout@v4

Set up Python
"""""""""""""

:uses: actions/setup-python@v5

Run tests
"""""""""

:run: pytest --cov

Frequently Asked Questions (FAQ)

Q: What is reStructuredText and how is it different from Markdown?

A: reStructuredText (RST) is a markup language developed as part of the Python Docutils project. Compared to Markdown, RST has a more standardized specification, supports directives and roles for extensibility, includes native cross-referencing, and is the default for Sphinx documentation. It is more powerful but also more verbose than Markdown.

Q: Can I include the RST output in my Sphinx documentation?

A: Yes, the converted RST file can be placed directly in your Sphinx source directory and included in the toctree directive. It will be rendered as part of your documentation alongside other RST pages.

Q: How does the YML hierarchy map to RST headings?

A: Top-level YML keys become RST section headings with = underlines. Nested keys use -, ~, and ^ underlines for progressively deeper levels. Scalar values are rendered as field lists, and arrays become bulleted lists.

Q: Will the RST output render on GitHub?

A: Yes, GitHub renders .rst files natively in repositories. The converted file will display with proper headings, lists, and formatting when viewed on GitHub.

Q: Can I host the RST output on Read the Docs?

A: Absolutely. Read the Docs is built on Sphinx and RST. Add the converted file to your Sphinx project's docs directory, reference it in your toctree, and Read the Docs will build and host it automatically.

Q: What happens with deeply nested YML structures?

A: RST supports multiple heading levels using different underline characters (=, -, ~, ^, "). Very deeply nested YML structures are converted using all available heading levels, and at extreme depths, content is represented as indented field lists or code blocks to maintain readability.