Convert MediaWiki to YAML

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MediaWiki vs YAML Format Comparison

Aspect MediaWiki (Source Format) YAML (Target Format)
Format Overview
MediaWiki
MediaWiki Markup Language

Lightweight markup language created for Wikipedia in 2002 and used by all MediaWiki-powered wikis. Uses distinctive syntax with == headings ==, '''bold''', ''italic'', [[links]], and {| tables |} for collaborative web content creation and editing.

Wiki Markup Plain Text
YAML
YAML Ain't Markup Language

Human-friendly data serialization format widely used for configuration files and data exchange. Uses indentation-based structure with clean syntax for mappings (key-value pairs), sequences (lists), and scalars. Adopted as the standard configuration format by Docker, Kubernetes, Ansible, GitHub Actions, and many other DevOps tools.

Configuration Data Serialization
Technical Specifications
Structure: Plain text with wiki markup
Encoding: UTF-8
Format: Text-based markup language
Compression: None (plain text)
Extensions: .mediawiki, .wiki, .txt
Structure: Indentation-based hierarchy
Encoding: UTF-8
Format: Data serialization language
Compression: None (plain text)
Extensions: .yaml, .yml
Syntax Examples

MediaWiki uses wiki-style markup:

== Section Heading ==
'''Bold text''' and ''italic''
* Bullet list item
# Numbered list item
[[Internal Link]]
{{Template:Infobox}}

YAML uses indentation-based syntax:

section_heading:
  content: "Bold text and italic"
  items:
    - "Bullet list item"
  steps:
    - "Numbered list item"
  links:
    - target: "Internal Link"
Content Support
  • Section headings (levels 1-6)
  • Bold, italic, underline formatting
  • Bulleted and numbered lists
  • Wiki-style tables
  • Internal and external links
  • Image embedding via file references
  • Categories and templates
  • Table of contents (auto-generated)
  • References and citations
  • Infoboxes and navboxes
  • Mappings (key-value pairs)
  • Sequences (ordered lists)
  • Scalars (strings, numbers, booleans)
  • Nested structures (unlimited depth)
  • Multi-line strings (literal/folded)
  • Anchors and aliases (references)
  • Comments (# prefix)
  • Multiple documents in one file
  • Null values
  • Dates and timestamps
Advantages
  • Powers Wikipedia and thousands of wikis
  • Built-in linking and categorization
  • Collaborative editing support
  • Auto-generated table of contents
  • Template and transclusion system
  • Version history tracking
  • Extremely human-readable
  • Standard for DevOps configuration
  • Deep nesting support
  • Multi-line string handling
  • Comment support
  • Used by Kubernetes, Docker, Ansible, GitHub Actions
Disadvantages
  • Complex table syntax
  • Requires MediaWiki software to render
  • Not widely used outside wikis
  • Template syntax can be confusing
  • No native print layout support
  • Indentation-sensitive (spaces matter)
  • Not designed for document content
  • No rich text formatting
  • Complex quoting rules for special characters
  • Security concerns with untrusted input
Common Uses
  • Wikipedia articles and pages
  • Corporate wikis and knowledge bases
  • Technical documentation wikis
  • Community-driven encyclopedias
  • Open-source project documentation
  • Kubernetes manifests and Helm charts
  • Docker Compose configurations
  • Ansible playbooks and roles
  • GitHub Actions workflows
  • CI/CD pipeline definitions
  • Application configuration files
Best For
  • Wiki-based content publishing
  • Collaborative documentation
  • Knowledge base articles
  • Wikipedia contributions
  • DevOps and infrastructure configuration
  • Application settings files
  • Data serialization
  • Readable structured data
Version History
Introduced: 2002 (MediaWiki 1.0)
Current Version: MediaWiki 1.42 (2024)
Status: Actively maintained and developed
Evolution: Regular updates with new features
Introduced: 2001 (Clark Evans)
Current Version: YAML 1.2.2 (2021)
Status: Stable, actively maintained
Evolution: JSON compatibility since 1.2
Software Support
MediaWiki: Native rendering engine
Wikipedia: Primary content format
Pandoc: Full conversion support
Other: Any text editor for source editing
Python: PyYAML, ruamel.yaml
JavaScript: js-yaml
Go: gopkg.in/yaml.v3
Other: Libraries for all major languages

Why Convert MediaWiki to YAML?

Converting MediaWiki markup to YAML format bridges the gap between wiki-based documentation and the configuration-driven world of DevOps and modern software development. Wiki pages frequently document system configurations, deployment procedures, service parameters, and infrastructure specifications that, when converted to YAML, can be directly consumed by tools like Kubernetes, Ansible, Docker Compose, and GitHub Actions.

MediaWiki content is designed for human reading through a web browser, but the structured data it contains is often needed by automated systems. YAML's clean, indentation-based syntax makes it the ideal target format for extracting structured information from wiki pages. Sections become nested YAML mappings, lists translate directly to YAML sequences, and key-value information from wiki tables or definition lists maps naturally to YAML entries with proper data typing.

This conversion is especially valuable for DevOps teams that maintain runbooks and configuration documentation on internal wikis. Instead of manually transcribing settings from wiki pages into YAML configuration files, the conversion automates the extraction process, reducing human error and ensuring consistency between documentation and actual deployment configurations. The resulting YAML files can be version-controlled in Git and integrated into CI/CD pipelines.

YAML's ability to represent complex nested structures, multi-line strings, and typed values (numbers, booleans, dates) makes it suitable for capturing the full depth of wiki content. The conversion process strips away formatting markup while preserving the document's logical structure, producing YAML that faithfully represents the wiki content's hierarchy with sections, subsections, lists, and tabular data all properly nested.

Key Benefits of Converting MediaWiki to YAML:

  • DevOps Integration: Generate Kubernetes, Ansible, and Docker configs from wiki documentation
  • Human Readable: YAML maintains the readability that wiki content was designed for
  • Typed Data: Values are properly typed as strings, numbers, booleans, and dates
  • Nested Structure: Wiki section hierarchy maps naturally to YAML nesting
  • Git Friendly: YAML files have clean diffs for version control
  • CI/CD Ready: Output can be used directly in pipeline definitions and workflows
  • Automation: Eliminate manual copy-paste from wiki docs to config files

Practical Examples

Example 1: Service Configuration Documentation

Input MediaWiki file (service_config.mediawiki):

== Application Service ==

=== Server Settings ===
* '''Host:''' app.example.com
* '''Port:''' 8080
* '''Workers:''' 4
* '''Debug:''' No

=== Database ===
* '''Engine:''' PostgreSQL
* '''Host:''' db.example.com
* '''Port:''' 5432
* '''Name:''' app_production

=== Caching ===
* '''Provider:''' Redis
* '''TTL:''' 3600
* '''Max connections:''' 20

Output YAML file (service_config.yaml):

application_service:
  server_settings:
    host: "app.example.com"
    port: 8080
    workers: 4
    debug: false
  database:
    engine: "PostgreSQL"
    host: "db.example.com"
    port: 5432
    name: "app_production"
  caching:
    provider: "Redis"
    ttl: 3600
    max_connections: 20

Example 2: Deployment Procedure to YAML

Input MediaWiki file (deploy.mediawiki):

== Deployment Steps ==

=== Pre-deployment ===
# Back up the database
# Run test suite
# Tag the release in Git

=== Deployment ===
# Stop the application
# Pull latest code
# Run migrations
# Restart services

=== Services to Restart ===
* web-server
* background-worker
* cache-service

{{Note|Estimated downtime: 5 minutes}}

Output YAML file (deploy.yaml):

# Deployment Steps
# Estimated downtime: 5 minutes

deployment:
  pre_deployment:
    - "Back up the database"
    - "Run test suite"
    - "Tag the release in Git"
  deployment:
    - "Stop the application"
    - "Pull latest code"
    - "Run migrations"
    - "Restart services"
  services_to_restart:
    - "web-server"
    - "background-worker"
    - "cache-service"

Example 3: Team and Project Metadata

Input MediaWiki file (project.mediawiki):

== Project Alpha ==

=== Team Members ===
{| class="wikitable"
|-
! Name !! Role !! Email
|-
| Alice Johnson || Lead Developer || [email protected]
|-
| Bob Smith || DevOps Engineer || [email protected]
|-
| Carol Lee || QA Engineer || [email protected]
|}

=== Tech Stack ===
* '''Backend:''' Python, Django
* '''Frontend:''' React, TypeScript
* '''Database:''' PostgreSQL
* '''Cache:''' Redis

Output YAML file (project.yaml):

project_alpha:
  team_members:
    - name: "Alice Johnson"
      role: "Lead Developer"
      email: "[email protected]"
    - name: "Bob Smith"
      role: "DevOps Engineer"
      email: "[email protected]"
    - name: "Carol Lee"
      role: "QA Engineer"
      email: "[email protected]"
  tech_stack:
    backend:
      - "Python"
      - "Django"
    frontend:
      - "React"
      - "TypeScript"
    database: "PostgreSQL"
    cache: "Redis"

Frequently Asked Questions (FAQ)

Q: What is YAML format?

A: YAML (YAML Ain't Markup Language) is a human-friendly data serialization standard. It uses indentation to represent hierarchy, hyphens for list items, and colons for key-value pairs. YAML is the standard configuration format for Kubernetes, Docker Compose, Ansible, GitHub Actions, and many other modern DevOps and development tools. It is a superset of JSON since version 1.2.

Q: How are MediaWiki sections mapped to YAML?

A: MediaWiki headings (== Section ==) become YAML mapping keys, with subsections nested as child mappings. Section content is organized under these keys: lists become YAML sequences, key-value data becomes nested mappings, and plain text becomes string values. The hierarchical section structure of the wiki page maps directly to YAML's indentation-based nesting.

Q: Does the conversion preserve data types?

A: Yes! The converter infers YAML data types from wiki content. Numeric values become integers or floats, "Yes"/"No" values become booleans (true/false), dates are formatted as YAML timestamps, and text remains as strings. YAML's native type system provides more precise data representation than wiki markup can express.

Q: Can I use the output with Kubernetes or Docker?

A: The output is valid YAML that can serve as a starting point for Kubernetes manifests, Docker Compose files, or Ansible playbooks. However, these tools expect specific schemas and required fields. You may need to reorganize the YAML structure to match the expected format. The conversion provides clean data extraction; schema compliance may require manual adjustment.

Q: How are MediaWiki tables converted to YAML?

A: Wiki tables are converted to YAML arrays of mappings. Each table row becomes a mapping (dictionary) with column headers as keys and cell values as values. This produces a clean, queryable data structure. For example, a three-column table with five rows becomes a YAML sequence of five mappings, each with three key-value pairs.

Q: What happens to wiki formatting in YAML?

A: YAML is a data format without text formatting support. Bold, italic, and other wiki markup are stripped during conversion, leaving only the plain text content as string values. Links are converted to their text or URL representation. The focus is on preserving structured data, not visual formatting.

Q: Is the output compatible with both .yaml and .yml extensions?

A: Yes! The output is standard YAML that works with both .yaml and .yml file extensions. Both extensions are commonly used and recognized by all YAML parsers, editors, and tools. The choice between them is purely a naming convention preference.

Q: Can I convert multiple MediaWiki files to YAML at once?

A: Yes! Upload multiple MediaWiki files simultaneously and each will be independently converted to its own YAML file. This is ideal for batch-extracting configuration data from multiple wiki documentation pages into separate YAML configuration files for deployment automation.