#!/usr/bin/env python3
"""
Test 2: Data Poisoning Simulation

Source: Chapter_13_Data_Provenance_and_Supply_Chain_Security
Category: supply_chain
"""

import argparse
import sys

def test_data_poisoning_detection(clean_dataset, poisoning_ratio=0.01):
    """
    Inject poisoned examples to test data validation
    """

    poisoned_dataset = inject_poisoned_examples(
        clean_dataset,
        poisoning_ratio=poisoning_ratio,
        poison_type='label_flip'
    )

    # Test if data validation catches poisoned examples
    validation_results = data_validation_pipeline(poisoned_dataset)

    if validation_results.suspicious_count > 0:
        print(f"✅ Detected {validation_results.suspicious_count} suspicious examples")
    else:
        print(f"❌ Data poisoning not detected!")


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()