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Command-line interface function that orchestrates the enrichment of vendor data from an Excel file with email and VAT information using ChromaDB and RAG engine.

Purpose

This is the main entry point for a vendor data enrichment application. It parses command-line arguments to configure the enrichment process, loads vendor data from an Excel file, searches a ChromaDB collection for relevant information, enriches vendor records with email and VAT details, and saves the results. The function supports resumable processing with configurable start/end indices and request delays to manage API rate limits.

Source Code

def main():
    """Main execution function"""
    import argparse
    
    parser = argparse.ArgumentParser(description='Enrich vendor list with email and VAT information')
    parser.add_argument('--file', type=str, 
                       default='Vendors list_Vicebio_20112025_VB comments v1.xlsx',
                       help='Excel file with vendor list')
    parser.add_argument('--collection', type=str, 
                       default='00_company_governance',
                       help='ChromaDB collection to search')
    parser.add_argument('--start', type=int, default=0,
                       help='Start index (for resuming)')
    parser.add_argument('--end', type=int, default=None,
                       help='End index (None = all)')
    parser.add_argument('--delay', type=int, default=2,
                       help='Delay between requests (seconds)')
    
    args = parser.parse_args()
    
    # Build full path
    script_dir = os.path.dirname(os.path.abspath(__file__))
    excel_path = os.path.join(script_dir, args.file)
    
    if not os.path.exists(excel_path):
        logger.error(f"Excel file not found: {excel_path}")
        return
    
    # Create enricher
    enricher = VendorEnricher(excel_path, args.collection)
    
    # Load vendors
    if not enricher.load_vendors():
        logger.error("Failed to load vendor data")
        return
    
    # Enrich vendors
    enricher.enrich_all_vendors(
        start_index=args.start,
        end_index=args.end,
        delay=args.delay
    )
    
    # Save final results
    output_file = enricher.save_results()
    
    # Generate summary
    enricher.generate_summary()
    
    if output_file:
        logger.info(f"\n✅ Enrichment complete! Results saved to: {output_file}")

Return Value

Returns None. The function performs side effects including logging output, saving enriched data to an Excel file, and generating a summary report. Success or failure is communicated through logger messages.

Dependencies

• argparse
• os
• sys
• pandas
• json
• time
• datetime
• logging
• re
• hybrid_rag_engine

Required Imports

import os
import sys
import pandas as pd
import json
import time
from datetime import datetime
from hybrid_rag_engine import OneCo_hybrid_RAG
import logging
import argparse
import re

Conditional/Optional Imports

These imports are only needed under specific conditions:

import argparse

Usage Example

# Run from command line with default settings:
# python script.py

# Run with custom parameters:
# python script.py --file my_vendors.xlsx --collection my_collection --start 10 --end 50 --delay 3

# In Python code (if calling programmatically):
if __name__ == '__main__':
    main()

# Resume processing from index 100:
# python script.py --start 100

# Process only first 20 vendors with 5 second delay:
# python script.py --end 20 --delay 5

Best Practices

• This function should only be called as the main entry point of the script, typically with if __name__ == '__main__': main()
• Ensure the VendorEnricher class is properly defined with methods: load_vendors(), enrich_all_vendors(), save_results(), and generate_summary()
• Configure logging before calling this function to capture all log messages
• Use --start and --end arguments to process data in batches if dealing with large datasets
• Adjust --delay parameter based on API rate limits to avoid throttling
• The Excel file must exist in the same directory as the script or provide full path via --file argument
• Check that the ChromaDB collection exists and is populated before running
• Monitor disk space as results are saved to Excel files in the script directory
• The function handles errors gracefully but returns None in all cases, check logs for execution status

Tags

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