#!/usr/bin/env python3
"""
Detection

Source: Chapter_13_Data_Provenance_and_Supply_Chain_Security
Category: supply_chain
"""

import argparse
import sys

# Anomaly detection in training data
def detect_insider_poisoning(training_data, baseline_distribution):
    """
    Compare training data to expected distribution
    Flag statistical anomalies
    """

    anomalies = []

    # Check for unusual patterns
    for example in training_data:
        # Detect security-violating advice
        if contains_security_violation(example['output']):
            anomalies.append({
                'example': example,
                'reason': 'Security violation in output'
            })

        # Detect statistical outliers
        if is_statistical_outlier(example, baseline_distribution):
            anomalies.append({
                'example': example,
                'reason': 'Statistical anomaly'
            })

    return anomalies


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()