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A high-performance markdown translator that supports multiple languages and preserves markdown formatting.

Project description

ZMP Markdown Translator

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A high-performance markdown translator that supports multiple languages and preserves markdown formatting. Uses OpenAI's GPT models for translation.

Features

  • Translates entire directories of markdown files
  • Preserves markdown formatting and structure
  • Supports multiple target languages simultaneously
  • Handles large files through automatic chunking
  • Maintains Docusaurus-compatible directory structures
  • Shows real-time progress with colorized output
  • Enforces consistent translation rules for technical documentation

Translation Rules

The translator follows strict rules to ensure consistent and accurate translations:

Preserved in English

  • All section headers (including those with HTML tags)
  • All HTML-wrapped headers and subheadings
  • Product names (e.g., Cloud Z CP)
  • Platform names (e.g., Kubernetes)
  • Service names (e.g., Container Management Service)
  • Tool names (e.g., Chrome, Gitea)
  • Version numbers and technical specifications
  • Table headers in markdown tables
  • Section IDs in curly braces

Translated to Target Language

  • All paragraphs and content text
  • Descriptions and explanations
  • UI messages and instructions
  • List items and bullet points
  • Table content (except headers)
  • Sentences containing product names (while keeping the names in English)

Consistency Requirements

  • No mixed language content within sentences
  • Complete translation of all paragraphs
  • Preservation of markdown structure and formatting
  • Exact maintenance of whitespace and line numbers

Installation

# Using Poetry (recommended)
poetry install

# Or using pip
pip install .

Usage

Basic Command Structure

poetry run zmp-translate \
  --source-dir SOURCE_PATH \
  --target-dir TARGET_DIR \
  --languages LANG_CODES

The SOURCE_PATH can be either:

  • A path to a single markdown file (.md or .mdx)
  • A directory containing markdown files

Example Usage

# Translate a directory of markdown files
poetry run zmp-translate \
  --source-dir "./repo/docs/ZCP" \
  --target-dir "./repo/i18n" \
  --languages "ko,ja,zh"

# Translate a single markdown file
poetry run zmp-translate \
  --source-dir "./repo/docs/ZCP/introduction.md" \
  --target-dir "./repo/i18n" \
  --languages "ko,ja,zh"

Using short options:

# Directory translation
poetry run zmp-translate \
  --s "./repo/docs/ZCP" \
  --t "./repo/i18n" \
  --l "ko,ja,zh"

# Single file translation
poetry run zmp-translate \
  --s "./repo/docs/ZCP/introduction.md" \
  --t "./repo/i18n" \
  --l "ko"

Command Line Options

  • -s, --source-dir: Path to markdown file or directory containing markdown files (required)
  • -t, --target-dir: Target directory for translations (default: "i18n")
  • -l, --languages: Comma-separated list of target language codes (required)
  • -m, --model: OpenAI model to use (overrides .env setting)
  • -c, --chunk-size: Maximum chunk size for translation (overrides .env setting)
  • -n, --concurrent: Maximum concurrent requests (overrides .env setting)

Supported Language Codes

The following language codes are supported:

Code Language
ko Korean
fr French
ja Japanese
es Spanish
de German
zh Chinese
ru Russian
it Italian
pt Portuguese
ar Arabic

Environment Configuration

Create a .env file in your project root:

# OpenAI Configuration
OPENAI_API_KEY=your-api-key-here
OPENAI_MODEL=your-model-here

# Performance Settings
MAX_CHUNK_SIZE=4000
MAX_CONCURRENT_REQUESTS=5

Directory Structure

The translator maintains a Docusaurus-compatible directory structure based on the source directory name:

  • For *_zcp sources:
    [target_dir]/[lang]/docusaurus-plugin-content-docs-zcp/current/
    
  • For *_apim sources:
    [target_dir]/[lang]/docusaurus-plugin-content-docs-apim/current/
    
  • For *_amdp sources:
    [target_dir]/[lang]/docusaurus-plugin-content-docs-amdp/current/
    
  • For other sources:
    [target_dir]/[lang]/docusaurus-plugin-content-docs/current/
    

Development

# Install dependencies
poetry install

# Run tests
poetry run test

License

This project is distributed under the MIT License. See the LICENSE file for more information.

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