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-rw-r--r--db_passwords/sql/test.py77
1 files changed, 0 insertions, 77 deletions
diff --git a/db_passwords/sql/test.py b/db_passwords/sql/test.py
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--- a/db_passwords/sql/test.py
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-"""
-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()