""" Checks SQL Server user data for compliance with Windows policies. """ # Import packages import pandas as pd # Load the data into a pandas DataFrame df_input = pd.read_csv('./data.csv') # Function to apply rules and generate report def apply_rules_and_report(df): """ Apply defined rules against the input data. Parameters: df (pandas.DataFrame): SQL login data Returns: report (list): List of dictionaries containing test results """ report = [] for _, row in df.iterrows(): result = { 'Name': row['name'], 'Type Check': '', 'Policy Check': '', 'Expiration Check': '', 'Reason': '' } # Check the type_desc if row['type_desc'] == 'SQL_LOGIN': result['Type Check'] = 'SQL_LOGIN' elif row['type_desc'] == 'WINDOWS_LOGIN': result['Type Check'] = 'N/A' result['Reason'] = 'Refer to Windows password policy.' else: result['Type Check'] = 'Manual Review' result['Reason'] = 'Reviewer to manually review.' # Check if password policy is enforced if row['is_policy_checked'] == 1: result['Policy Check'] = 'PASS' result['Reason'] += '''Password policy is enforced. Reviewer to check the assigned policy.''' else: result['Policy Check'] = 'FAIL' result['Reason'] += 'Password policy is not enforced.' # Check if password expiration is enforced if row['is_expiration_checked'] == 1: result['Expiration Check'] = 'PASS' result['Reason'] += '''Password expiration is enforced. Reviewer to check the expiration policy.''' else: result['Expiration Check'] = 'FAIL' result['Reason'] += 'Password expiration is not enforced.' report.append(result) return report # Main function to run the script def main(): """ Apply defined rules against the input data and print the results. """ # Apply rules and generate report report = apply_rules_and_report(df_input) report_df = pd.DataFrame(report) # Print the report print(report_df) if __name__ == "__main__": main()