Convert TEXT to YML

Why Convert TEXT to YML?

Converting plain text files to YML format is the quickest path to creating configuration files compatible with the modern DevOps ecosystem. The .yml extension is the default file extension expected by Docker Compose (docker-compose.yml), GitHub Actions (.github/workflows/*.yml), GitLab CI (.gitlab-ci.yml), Travis CI (.travis.yml), and many other tools that have standardized on this shortened extension.

The .yml extension is functionally identical to .yaml -- both contain YAML-formatted data and are parsed by the same libraries and tools. The .yml extension gained popularity through the Ruby on Rails community (database.yml, config.yml) and was adopted by Docker, which popularized docker-compose.yml as one of the most-used configuration files in software development. Many tools specifically look for .yml files by default.

YML files provide structured, human-readable configuration that plain text cannot offer. With indentation-based hierarchy, native data types (strings, numbers, booleans, arrays), and comment support, YML transforms your freeform text notes into machine-parseable configurations that can be validated, version-controlled, and automatically deployed. This is essential for infrastructure-as-code practices.

Choosing .yml over .yaml comes down to convention and tool requirements. Docker Compose defaults to docker-compose.yml, GitHub Actions requires .yml extension, and many established projects use .yml by convention. Converting your text directly to .yml ensures the output file is immediately usable with these tools without needing to rename or adjust file extensions afterward.

Key Benefits of Converting TEXT to YML:

• Docker Ready: Create docker-compose.yml files directly from text notes
• CI/CD Compatible: Output works with GitHub Actions, GitLab CI, Travis CI
• Human Readable: Clean indentation-based syntax, easy to review
• Rich Data Types: Strings, numbers, booleans, arrays, and nested objects
• Comment Support: Document your configuration with # comments
• Tool Default: Many tools expect .yml as the default extension
• Version Control: Clean text format with meaningful line-by-line diffs

Practical Examples

Example 1: Docker Compose File

Input TEXT file (services.text):

Application Stack

Frontend: React app on port 3000
image: node:18-alpine
build from ./frontend directory
depends on the API service

API: FastAPI backend on port 8000
image: python:3.11-slim
build from ./backend directory
connects to the database

Database: PostgreSQL 15
port: 5432
data stored in pgdata volume

Output YML file (docker-compose.yml):

# Application Stack
version: "3.8"
services:
  frontend:
    build: ./frontend
    image: node:18-alpine
    ports:
      - "3000:3000"
    depends_on:
      - api

  api:
    build: ./backend
    image: python:3.11-slim
    ports:
      - "8000:8000"
    depends_on:
      - database

  database:
    image: postgres:15
    ports:
      - "5432:5432"
    volumes:
      - pgdata:/var/lib/postgresql/data

volumes:
  pgdata:

Example 2: GitHub Actions Workflow

Input TEXT file (ci-pipeline.text):

CI Pipeline for Python Project

Trigger: push to main, pull requests to main
Run on Ubuntu latest

Steps:
1. Check out the code
2. Set up Python 3.11
3. Install dependencies from requirements.txt
4. Run linting with flake8
5. Run tests with pytest
6. Upload coverage report

Output YML file (ci.yml):

# CI Pipeline for Python Project
name: CI Pipeline
on:
  push:
    branches: [main]
  pull_request:
    branches: [main]
jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
      - name: Install dependencies
        run: pip install -r requirements.txt
      - name: Lint with flake8
        run: flake8 .
      - name: Run tests
        run: pytest --cov
      - name: Upload coverage
        uses: codecov/codecov-action@v3

Example 3: Application Configuration

Input TEXT file (app-settings.text):

Application Settings

Server host: 0.0.0.0
Server port: 8080
Workers: 4
Log level: info

Database type: postgresql
Database host: db.internal
Database port: 5432
Database name: production_db
Connection pool: 25

Cache type: redis
Cache host: cache.internal
Cache port: 6379
Cache TTL: 3600 seconds

Output YML file (application.yml):

# Application Settings
server:
  host: 0.0.0.0
  port: 8080
  workers: 4
  log_level: info

database:
  type: postgresql
  host: db.internal
  port: 5432
  name: production_db
  pool_size: 25

cache:
  type: redis
  host: cache.internal
  port: 6379
  ttl: 3600

Frequently Asked Questions (FAQ)

Q: What is the difference between .yml and .yaml?

A: There is no functional difference. Both .yml and .yaml are file extensions for YAML-formatted files and are parsed identically by all YAML libraries. The .yml extension is shorter and was popularized by Ruby on Rails and Docker. The .yaml extension is the officially recommended one by yaml.org. The choice is purely a matter of convention and tool requirements.

Q: Why do some tools require .yml specifically?

A: Some tools look for specific filenames by default: Docker Compose expects docker-compose.yml, GitHub Actions requires files to end in .yml or .yaml in the .github/workflows/ directory, and Travis CI looks for .travis.yml. While many tools accept both extensions, using .yml ensures compatibility with tools that default to or require this specific extension.

Q: How does the converter structure my plain text?

A: The converter analyzes your text for key-value patterns (colons, equals signs), section headers (capitalized lines, lines ending with colons), and list items (dashes, numbers). It organizes these into proper YML hierarchy with correct indentation. Unrecognized content is preserved as string values to ensure no data is lost during conversion.

Q: Can I use the output directly with Docker Compose?

A: The converter produces valid YAML syntax with the .yml extension, which Docker Compose can read. However, Docker Compose requires specific keys (version, services, volumes, networks) in a specific structure. You may need to adjust the converted output to match Docker Compose's expected schema if your source text doesn't follow that structure precisely.

Q: What indentation style does the converter use?

A: The converter uses 2-space indentation, which is the most common convention in the YAML ecosystem. Docker Compose, Kubernetes, GitHub Actions, and most other tools use 2-space indentation. YAML requires spaces (never tabs) for indentation, and our converter strictly follows this rule to ensure valid output.

Q: How are data types handled in YML?

A: YML/YAML automatically interprets data types: numbers (42, 3.14), booleans (true, false), null values (null, ~), and strings. To force a value to be a string, wrap it in quotes: "3.14" stays a string, while 3.14 becomes a float. The converter intelligently assigns types based on the content of your text data.

Q: Can YML files contain comments?

A: Yes, YML supports comments using the # character. Everything from # to the end of the line is treated as a comment and ignored by parsers. This is a major advantage over JSON, which has no comment support. The converter can add section comments based on headings in your source text to make the output more documentation-friendly.

Q: Is .yml recommended by the YAML specification?

A: The official YAML FAQ at yaml.org recommends .yaml as the file extension, stating: "Please use .yaml when possible." However, .yml is so widely used (Docker, GitHub, Travis CI, Ruby on Rails) that both extensions are equally valid in practice. The choice should be based on your tool's requirements and team conventions.