This is a modular reimplementation of the unoconv tool, which converts between office document formats using LibreOffice/OpenOffice.

The original unoconv.py script has been restructured into a modular package that allows for both command-line usage and programmatic integration. The refactored version maintains all the functionality of the original script while providing a cleaner, more organized codebase.

The package is structured as follows:

unoconvert/
├── __init__.py         # Package initialization and high-level API
├── cli.py              # Command-line interface
├── config.py           # Configuration handling
├── connection.py       # LibreOffice connection management
├── converter.py        # Document conversion logic
├── formats.py          # Format definitions and handling
└── listener.py         # Listener functionality

• Convert documents between various formats
• Start LibreOffice/OpenOffice listeners for faster conversions
• Customize document conversion with filters and templates
• Use programmatically in Python applications
• Same command-line interface as the original unoconv

pip install unoconvert

The command-line interface is similar to the original unoconv:

# Convert a document to PDF
unoconvert -f pdf document.odt

# Start a listener
unoconvert -l

# Show available formats
unoconvert --show

The modular version can be easily used in Python code:

from unoconvert import convert

# Simple conversion
convert('document.odt', 'document.pdf')

# Conversion with options
convert(
    'spreadsheet.xlsx',
    'spreadsheet.pdf',
    format='pdf',
    doctype='spreadsheet',
    template='template.ott',
    verbose=1
)

# Start a listener
from unoconvert import listen
listen()

# Get available formats
from unoconvert import get_formats
formats = get_formats(doctype='document')

• Python 3.6+
• LibreOffice or OpenOffice

This modular version maintains all the functionality of the original unoconv script, but with several improvements:

1. Modular Structure: Code is organized into logical modules for better maintainability
2. Clean API: Simple, intuitive API for programmatic usage
3. Modern Python: Uses modern Python features and best practices
4. Better Error Handling: More consistent and informative error messages
5. Easier Integration: Can be used as a library in other Python projects

See example.py for a detailed example of how to use the library programmatically to convert an Excel file to PDF.

Same as the original unoconv.