#!/usr/bin/env python3
"""
Transformation and Preprocessing Logs

Source: Chapter_13_Data_Provenance_and_Supply_Chain_Security
Category: supply_chain
"""

import argparse
import sys

# Example preprocessing pipeline with provenance logging
def preprocess_with_provenance(data, data_id):
    provenance = []

    # Step 1: Cleaning
    cleaned_data = clean_text(data)
    provenance.append({
        'step': 'text_cleaning',
        'function': 'clean_text_v1.2',
        'timestamp': datetime.now()
    })

    # Step 2: Normalization
    normalized_data = normalize(cleaned_data)
    provenance.append({
        'step': 'normalization',
        'function': 'normalize_v2.0',
        'timestamp': datetime.now()
    })

    # Log provenance
    log_provenance(data_id, provenance)

    return normalized_data


def main():
    """Command-line interface."""
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--verbose", "-v", action="store_true", help="Verbose output")
    args = parser.parse_args()
    
    # TODO: Add main execution logic
    pass

if __name__ == "__main__":
    main()