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Main entry point function that reads a markdown file, converts it to an enhanced Word document with preserved heading structure, and saves it with a timestamped filename.

Purpose

This function orchestrates the conversion of a specific markdown file (project_victoria_disclosures.md) into a formatted Word document. It handles file validation, content reading, timestamp generation for unique output filenames, error handling, and user feedback. The function is designed as a standalone script entry point for document conversion workflows.

Source Code

def main():
    """Main function to create enhanced Word document"""
    # Input and output paths
    input_file = Path('/tf/active/project_victoria_disclosures.md')
    output_dir = Path('/tf/active')
    
    # Check if input file exists
    if not input_file.exists():
        logger.error(f"Input file not found: {input_file}")
        return
    
    # Read markdown content
    logger.info(f"Reading markdown file: {input_file}")
    with open(input_file, 'r', encoding='utf-8') as f:
        content = f.read()
    
    # Generate output filename with timestamp
    timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
    output_file = output_dir / f'project_victoria_disclosures_enhanced_{timestamp}.docx'
    
    # Create enhanced Word document
    try:
        create_enhanced_word_document(content, output_file)
        print(f"\nSUCCESS: Enhanced Word document created!")
        print(f"Output file: {output_file}")
        print(f"This version preserves the markdown heading structure better.")
    except Exception as e:
        logger.error(f"Error creating enhanced Word document: {e}")
        return

Return Value

Returns None implicitly. The function performs side effects (file I/O and console output) rather than returning a value. Exits early with return statement on error conditions (file not found or conversion failure).

Dependencies

• pathlib
• datetime
• logging
• python-docx

Required Imports

from pathlib import Path
from datetime import datetime
import logging

Usage Example

# Ensure prerequisites are met:
# 1. Create input markdown file
# 2. Configure logger
# 3. Define or import create_enhanced_word_document function

import logging
from pathlib import Path
from datetime import datetime

# Setup logger
logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.INFO)

# Ensure input file exists
input_path = Path('/tf/active/project_victoria_disclosures.md')
input_path.parent.mkdir(parents=True, exist_ok=True)
input_path.write_text('# Sample Markdown\n\nContent here')

# Define the required helper function (stub)
def create_enhanced_word_document(content, output_file):
    from docx import Document
    doc = Document()
    doc.add_paragraph(content)
    doc.save(output_file)

# Run the main function
main()

# Output will be saved to: /tf/active/project_victoria_disclosures_enhanced_YYYYMMDD_HHMMSS.docx

Best Practices

• Ensure the logger object is properly configured before calling this function
• Verify that the create_enhanced_word_document function is defined and accessible in the module scope
• Ensure the input directory (/tf/active) exists and contains the required markdown file
• Ensure write permissions exist for the output directory
• The function uses hardcoded paths - consider refactoring to accept parameters for better reusability
• The function catches all exceptions broadly - consider more specific exception handling for production use
• The timestamp format ensures unique filenames but may accumulate many files over time - implement cleanup strategy if needed
• Function has side effects (file creation, console output) - ensure this aligns with your application architecture

Tags

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