airun-hwp 0.2.6

AI-powered HWP/HWPX document processing library for Hamonize

airun-hwp

AI-powered HWP/HWPX document processing library for Hamonize

Features

• HWPX Parsing: Parse HWPX files with full document structure preservation
• Ordered Content Extraction: Maintain original document flow with mixed content types
• Image Extraction: Extract and save all images from documents
• Table Processing: Extract tables with proper formatting
• Markdown Conversion: Convert documents to well-structured Markdown
• PDF Export: Generate PDF files with embedded images (included by default)
• CLI Tool: Easy-to-use command-line interface

Installation

pip install airun-hwp

Note: PDF export functionality is included by default.

Development Installation

git clone https://github.com/chaeya/airun-hwp.git
cd airun-hwp
pip install -e ".[dev]"

Quick Start

Command Line Interface

# Convert to Markdown
airun-hwp convert document.hwpx --format markdown

# Convert to PDF
airun-hwp convert document.hwpx --format pdf --output ./results

# Process to both formats
airun-hwp process document.hwpx

Python API

from airun_hwp.reader.hwpx_reader_ordered import HWPXReaderOrdered

# Parse HWPX file
reader = HWPXReaderOrdered()
document = reader.parse("document.hwpx")

# Extract text
text = document.get_all_text()
print(f"Total text length: {len(text)} characters")

# Extract images
images = document.extract_images("./output/images")
print(f"Extracted {len(images)} images")

# Convert to Markdown
markdown_content = document.to_markdown_ordered(
    include_metadata=True,
    images_dir="./output/images"
)

# Save Markdown
with open("document.md", "w", encoding="utf-8") as f:
    f.write(markdown_content)

Advanced Usage

PDF Generation with Custom Styling

import markdown
import weasyprint
from airun_hwp.reader.hwpx_reader_ordered import HWPXReaderOrdered

# Parse document
reader = HWPXReaderOrdered()
document = reader.parse("document.hwpx")

# Extract images
document.extract_images("./output/images")

# Get Markdown content
md_content = document.to_markdown_ordered(
    include_metadata=True,
    images_dir="./output/images"
)

# Convert to HTML
html = markdown.markdown(md_content, extensions=['tables', 'fenced_code'])

# Add custom CSS
css = """
<style>
    body { font-family: 'Malgun Gothic', Arial, sans-serif; }
    img { max-width: 100%; height: auto; }
    table { border-collapse: collapse; width: 100%; }
    th, td { border: 1px solid #333; padding: 8px; }
</style>
"""

# Generate PDF
pdf = weasyprint.HTML(string=css + html).write_pdf("document.pdf")

Document Structure

The library processes HWPX documents using a token-stream approach that preserves the original document order:

• Text Runs: Consecutive text segments
• Images: Embedded images with proper positioning
• Tables: Structured table data
• Paragraph Breaks: Logical document divisions
• Page Breaks: Document pagination

CLI Commands

Convert Command

Convert HWPX files to different formats:

airun-hwp convert <input_file> [options]

Options:
  --format {markdown,md,pdf}  Output format (default: markdown)
  --output, -o PATH           Output directory (default: ./output)

Process Command

Process document to multiple formats:

airun-hwp process <input_file> [options]

Options:
  --output, -o PATH           Output directory (default: ./output)

Output Structure

When processing a document named document.hwpx:

output/
└── document/
    ├── images/
    │   ├── image1.png
    │   ├── image2.png
    │   └── ...
    ├── document.md
    └── document.pdf

Dependencies

• pypandoc-hwpx>=0.1.0: HWPX file format support
• PyYAML>=6.0: YAML configuration parsing
• Pillow>=10.0.0: Image processing
• weasyprint>=60.0: HTML to PDF conversion (included)
• markdown>=3.5.0: Markdown processing (included)

Development

Running Tests

pytest

Code Coverage

pytest --cov=airun_hwp

Code Formatting

black airun_hwp/
ruff check airun_hwp/

Type Checking

mypy airun_hwp/

Building for Distribution

# Build source and wheel distributions
python -m build

# Build with twine
twine build dist/

Publishing to PyPI

# Upload to Test PyPI
twine upload --repository testpypi dist/*

# Upload to PyPI
twine upload dist/*

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Support

• 📧 Email: [e-mail]
• 🐛 Issues: GitHub Issues
• 📖 Documentation: GitHub Wiki

Changelog

Version 0.2.5

• Fixed get_all_text() method to properly extract text from token stream
• Improved text extraction to handle both tokens and paragraphs
• Added deduplication to prevent duplicate text extraction

Version 0.2.0

• HWPX parsing support
• Markdown conversion
• PDF export functionality
• CLI tool
• Image extraction
• Table processing

Version 0.1.0

• Initial release

---

Made with ❤️ for the Hamonize project