Add comprehensive test suites for security fixes and features
- test_atomic_settings.py: Atomic write operation tests - test_csv_quoting.py: CSV QUOTE_MINIMAL protection tests - test_complete_csv_sanitization.py: Full field sanitization tests - test_input_sanitization.py: Input validation and security tests - test_alternating_colors.py: Visual enhancement tests - test_mark_billed.py & test_mark_logic.py: Existing functionality tests All tests passing with comprehensive security coverage.
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335
tests/test_complete_csv_sanitization.py
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335
tests/test_complete_csv_sanitization.py
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#!/usr/bin/env python3
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"""
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Test complete CSV sanitization for all fields including Date/username
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"""
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import csv
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import io
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import os
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import sys
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import tempfile
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from datetime import datetime
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# Add parent directory to path for imports
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from time_tracker import sanitize_csv_text, sanitize_date_text
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def test_complete_csv_sanitization():
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"""Test that all CSV fields are properly sanitized"""
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print("Testing complete CSV field sanitization...")
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# Test data with problematic characters in ALL fields
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test_data = [
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{
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'job': '=SUM(1,2)',
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'task': 'Task with "quotes" and, comma',
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'notes': 'Note @dangerous +formula -attack',
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'customer': 'Customer\nwith\nnewline\r\rcarriage',
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'hours': 2.5
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},
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{
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'job': 'Excel;Injection',
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'task': 'Task\nwith\ttabs',
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'notes': '@malicious_content',
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'customer': '"Quoted Customer"',
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'hours': 1.75
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},
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{
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'job': '+formula_attack',
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'task': 'Normal task',
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'notes': 'Simple note here',
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'customer': 'SafeCustomer',
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'hours': 3.0
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}
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]
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# Simulate malicious username and date that need sanitization
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malicious_username = '=USER+FORMULA'
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malicious_date = '2024-01-15' # Format that should be preserved but sanitized
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fieldnames = ['Job', 'TaskName', 'Note', 'Customer', 'Hours', 'Date', 'username', 'Billable', 'Billed']
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try:
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# Test complete sanitization
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print("\n1. Testing complete field sanitization:")
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output = io.StringIO()
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writer = csv.DictWriter(output, fieldnames=fieldnames, quoting=csv.QUOTE_MINIMAL)
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writer.writeheader()
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for row_data in test_data:
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writer.writerow({
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'Job': sanitize_csv_text(row_data['job']),
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'TaskName': sanitize_csv_text(row_data['task']),
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'Note': sanitize_csv_text(row_data['notes']),
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'Customer': sanitize_csv_text(row_data['customer']),
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'Hours': float(row_data['hours']),
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'Date': sanitize_date_text(malicious_date), # Now sanitized with date function!
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'username': sanitize_csv_text(malicious_username), # Already was sanitized
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'Billable': True,
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'Billed': False
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})
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csv_content = output.getvalue()
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print(" ✓ CSV content generated with all fields sanitized")
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print(f" ✓ CSV length: {len(csv_content)} characters")
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# Verify the CSV can be read back correctly
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output.seek(0)
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reader = csv.DictReader(output, fieldnames=fieldnames)
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rows_read = list(reader)
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assert len(rows_read) == len(test_data) + 1, f"Expected {len(test_data) + 1} rows (including header), got {len(rows_read)}"
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print(" ✓ CSV can be read back correctly")
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# Verify specific field sanitization
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first_data_row = rows_read[1]
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sanitized_job = first_data_row['Job']
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sanitized_username = first_data_row['username']
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sanitized_date = first_data_row['Date']
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# Check job field sanitization
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assert '=' not in sanitized_job, "Job field should not have equals signs"
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assert '+' not in sanitized_job, "Job field should not have plus signs"
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print(f" ✓ Job field sanitized: '{sanitized_job}'")
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# Check username field sanitization
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assert '=' not in sanitized_username, "Username field should not have equals signs"
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assert '+' not in sanitized_username, "Username field should not have plus signs"
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print(f" ✓ Username field sanitized: '{sanitized_username}'")
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# Check date field sanitization
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assert '=' not in sanitized_date, "Date field should not have equals signs"
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assert '+' not in sanitized_date, "Date field should not have plus signs"
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# Date should still parse as valid date format
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assert '-' in sanitized_date, "Date field should preserve hyphens for format"
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datetime.strptime(sanitized_date, '%Y-%m-%d')
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print(f" ✓ Date field sanitized with format preserved: '{sanitized_date}'")
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except Exception as e:
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print(f" ❌ Complete sanitization test failed: {e}")
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return False
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return True
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def test_date_username_edge_cases():
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"""Test edge cases for Date and username field sanitization"""
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print("\n2. Testing Date and username edge cases:")
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# Test date edge cases
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date_edge_cases = [
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'2024-01=15', # Equals in date
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'2024/01+15', # Slash and plus in date
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'2024-01@15', # At sign in date
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'2024-01-15\n2024',# Newline in date
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'\t2024-01-15', # Tab in date
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'2024-01-15 ', # Space after date
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'2024-01-15', # Normal date
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]
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# Test username edge cases
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username_edge_cases = [
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'=SUM(1,2)', # Formula in username
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'user+name', # Plus in username
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'user@domain.com', # At sign in username
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'user\nname', # Newline in username
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'\tuser', # Tab in username
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' user ', # Spaces in username
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'', # Empty username
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None, # None username
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]
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try:
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# Test date edge cases
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for test_case in date_edge_cases:
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sanitized = sanitize_date_text(test_case if test_case is not None else '')
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# Check for removal of dangerous characters
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assert '=' not in sanitized, f"Equals sign should be removed from date: {test_case}"
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assert '+' not in sanitized, f"Plus sign should be removed from date: {test_case}"
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assert '@' not in sanitized, f"At sign should be removed from date: {test_case}"
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assert '\t' not in sanitized, f"Tab should be removed from date: {test_case}"
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assert '\n' not in sanitized, f"Newline should be removed from date: {test_case}"
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assert '\r' not in sanitized, f"Carriage return should be removed from date: {test_case}"
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# Check that hyphens are preserved for valid dates
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if test_case == '2024-01-15':
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assert '-' in sanitized, f"Hyphens should be preserved in valid date: {test_case}"
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# Test username edge cases
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for test_case in username_edge_cases:
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sanitized = sanitize_csv_text(test_case if test_case is not None else '')
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# Check for removal of dangerous characters
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assert '=' not in sanitized, f"Equals sign should be removed from username: {test_case}"
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assert '+' not in sanitized, f"Plus sign should be removed from username: {test_case}"
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assert '@' not in sanitized, f"At sign should be removed from username: {test_case}"
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assert '\t' not in sanitized, f"Tab should be removed from username: {test_case}"
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assert '\n' not in sanitized, f"Newline should be removed from username: {test_case}"
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assert '\r' not in sanitized, f"Carriage return should be removed from username: {test_case}"
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print(" ✓ All edge cases handled correctly")
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return True
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except Exception as e:
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print(f" ❌ Edge case test failed: {e}")
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return False
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def test_rewrite_operation_sanitization():
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"""Test that the rewrite operation (mark as billed) maintains sanitization"""
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print("\n3. Testing rewrite operation sanitization:")
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# Simulate data that was already sanitized in original write
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original_data = [
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{
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'Job': 'SUM(1,2)', # Already sanitized (equals removed)
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'TaskName': 'Task with quotes',
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'Note': 'Note, with comma',
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'Customer': 'Customer Name',
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'Hours': '2.5',
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'Date': '2024-01-15', # Should be sanitized
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'username': 'FORMULA(1,2)', # Already sanitized (equals removed)
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'Billable': 'True',
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'Billed': 'False'
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}
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]
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fieldnames = ['Job', 'TaskName', 'Note', 'Customer', 'Hours', 'Date', 'username', 'Billable', 'Billed']
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try:
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# Simulate rewrite operation with sanitization
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output = io.StringIO()
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writer = csv.DictWriter(output, fieldnames=fieldnames, quoting=csv.QUOTE_MINIMAL)
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writer.writeheader()
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# Apply sanitization to rewrite data (as our fix does)
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sanitized_data = []
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for row in original_data:
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sanitized_row = {}
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for field_name, field_value in row.items():
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if field_name in ['Job', 'TaskName', 'Note', 'Customer', 'username']:
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if isinstance(field_value, str):
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sanitized_row[field_name] = sanitize_csv_text(field_value)
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else:
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sanitized_row[field_name] = field_value
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elif field_name in ['Date']:
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if isinstance(field_value, str):
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sanitized_row[field_name] = sanitize_date_text(field_value)
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else:
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sanitized_row[field_name] = field_value
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else:
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sanitized_row[field_name] = field_value
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sanitized_data.append(sanitized_row)
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writer.writerows(sanitized_data)
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# Verify it can be read back
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output.seek(0)
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reader = csv.DictReader(output, fieldnames=fieldnames)
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rows = list(reader)
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assert len(rows) == 2, f"Expected 2 rows, got {len(rows)}"
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# Verify sanitization persisted
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data_row = rows[1]
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assert '=' not in data_row['Job'], "Job field should remain sanitized"
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assert '=' not in data_row['username'], "Username field should remain sanitized"
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assert '=' not in data_row['Date'], "Date field should be sanitized"
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print(" ✓ Rewrite operation maintains sanitization")
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return True
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except Exception as e:
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print(f" ❌ Rewrite operation test failed: {e}")
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return False
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def test_date_format_preservation():
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"""Test that date format is preserved while sanitizing"""
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print("\n4. Testing date format preservation:")
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valid_dates = [
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'2024-01-15',
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'2024-12-31',
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'2023-02-28',
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'2025-03-01'
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]
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try:
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for date_str in valid_dates:
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sanitized = sanitize_date_text(date_str)
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# Should be unchanged (no dangerous chars)
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assert sanitized == date_str, f"Valid date should be unchanged: {date_str} -> {sanitized}"
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# Should still parse as valid date
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datetime.strptime(sanitized, '%Y-%m-%d')
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print(" ✓ Valid date formats preserved")
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# Test dangerous dates
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dangerous_dates = [
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'2024=01-15',
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'2024-01+15',
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'2024-01@15',
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'2024-01-15\n2024'
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]
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for dangerous_date in dangerous_dates:
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sanitized = sanitize_date_text(dangerous_date)
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# Dangerous chars should be removed but format should remain valid
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assert '=' not in sanitized, f"Equals should be removed from: {dangerous_date}"
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assert '+' not in sanitized, f"Plus should be removed from: {dangerous_date}"
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assert '@' not in sanitized, f"At should be removed from: {dangerous_date}"
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assert '\n' not in sanitized, f"Newline should be removed from: {dangerous_date}"
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# Should still have hyphens for format
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assert '-' in sanitized, f"Hyphens should be preserved in: {dangerous_date} -> {sanitized}"
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# If still valid format, should parse
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try:
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datetime.strptime(sanitized, '%Y-%m-%d')
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print(f" ✓ Dangerous date sanitized but still valid: '{dangerous_date}' -> '{sanitized}'")
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except ValueError:
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print(f" ✓ Dangerous date sanitized (format may have changed): '{dangerous_date}' -> '{sanitized}'")
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return True
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except Exception as e:
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print(f" ❌ Date format test failed: {e}")
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return False
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if __name__ == "__main__":
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print("🔒 Testing Complete CSV Field Sanitization")
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print("=" * 60)
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success = True
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try:
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success = test_complete_csv_sanitization() and success
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success = test_date_username_edge_cases() and success
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success = test_rewrite_operation_sanitization() and success
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success = test_date_format_preservation() and success
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if success:
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print("\n✅ All complete CSV sanitization tests passed!")
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print("\n🛡️ Complete CSV Security Verified:")
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print("- ALL fields properly sanitized: Job, TaskName, Note, Customer, Hours, Date, username")
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print("- Date field vulnerability fixed (critical)")
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print("- Username field properly sanitized (confirmed)")
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print("- Rewrite operations maintain sanitization")
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print("- Date format preservation for valid dates")
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print("- Edge cases and injection attempts blocked")
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print("\n🎯 Critical security vulnerability completely resolved!")
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else:
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print("\n❌ Some CSV sanitization tests failed!")
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exit(1)
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except Exception as e:
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print(f"\n❌ Test suite failed with error: {e}")
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exit(1)
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