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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tests/test_csv_quoting.py
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278
tests/test_csv_quoting.py
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#!/usr/bin/env python3
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"""
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Test CSV quoting protection with csv.QUOTE_MINIMAL
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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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# 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
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def test_csv_quoting_protection():
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"""Test that CSV quoting properly handles special characters"""
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print("Testing CSV quoting protection...")
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# Test data with problematic characters that could cause injection
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test_data = [
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{
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'Job': '=SUM(1,2)', # Formula injection attempt
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'TaskName': 'Task with "quotes"', # Quote characters
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'Note': 'Note with, comma, and; semicolon', # Separators
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'Customer': 'Customer\nwith\nnewlines', # Line breaks
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'Hours': 2.5,
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'Date': '2024-01-15',
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'username': 'test_user',
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'Billable': True,
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'Billed': False
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},
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{
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'Job': 'Excel Injection', # Excel formula injection attempt
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'TaskName': '@dangerous command', # At sign injection
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'Note': 'Text with\ttabs and\r\rcarriage returns', # Control characters
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'Customer': 'Normal Customer',
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'Hours': 1.75,
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'Date': '2024-01-16',
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'username': 'another_user',
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'Billable': False,
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'Billed': True
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},
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{
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'Job': '+malicious_formula', # Plus injection
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'TaskName': 'Task;with,separators', # Multiple separators
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'Note': "Apostrophe's in text",
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'Customer': '"Quoted Customer"',
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'Hours': 3.0,
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'Date': '2024-01-17',
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'username': 'quoting_test',
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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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# Test QUOTE_MINIMAL behavior
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print("\n1. Testing QUOTE_MINIMAL quoting behavior:")
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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 in test_data:
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# Apply sanitization to text fields
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sanitized_row = {}
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for key, value in row.items():
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if isinstance(value, str):
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sanitized_row[key] = sanitize_csv_text(value)
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else:
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sanitized_row[key] = value
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writer.writerow(sanitized_row)
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csv_content = output.getvalue()
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print(" ✓ CSV content generated successfully")
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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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# Check header row
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header_row = rows_read[0]
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expected_header = ','.join(fieldnames)
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actual_header = ','.join([header_row.get(field, '') for field in fieldnames])
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assert expected_header == actual_header, f"Header mismatch: {expected_header} != {actual_header}"
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print(" ✓ Header row is correct")
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except Exception as e:
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print(f" ❌ QUOTE_MINIMAL test failed: {e}")
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return False
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try:
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# Test with actual file to ensure file-level quoting works
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print("\n2. Testing file-level CSV quoting:")
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with tempfile.NamedTemporaryFile(mode='w', suffix='.csv', delete=False, encoding='utf-8', newline='') as f:
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temp_file = f.name
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writer = csv.DictWriter(f, fieldnames=fieldnames, quoting=csv.QUOTE_MINIMAL)
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writer.writeheader()
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for row in test_data:
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sanitized_row = {}
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for key, value in row.items():
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if isinstance(value, str):
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sanitized_row[key] = sanitize_csv_text(value)
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else:
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sanitized_row[key] = value
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writer.writerow(sanitized_row)
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# Read back from file
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with open(temp_file, 'r', encoding='utf-8', newline='') as f:
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reader = csv.DictReader(f, fieldnames=fieldnames)
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rows = list(reader)
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assert len(rows) == len(test_data) + 1, f"Expected {len(test_data) + 1} rows, got {len(rows)}"
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print(" ✓ File-level quoting works correctly")
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# Verify specific field handling
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data_row = rows[1] # First data row
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job_value = data_row['Job']
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task_value = data_row['TaskName']
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note_value = data_row['Note']
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print(f" ✓ Job field: '{job_value}' (should be sanitized)")
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print(f" ✓ TaskName field: '{task_value}' (quotes preserved properly)")
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print(f" ✓ Note field: '{note_value}' (commas handled correctly)")
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# Clean up
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os.remove(temp_file)
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except Exception as e:
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print(f" ❌ File-level test failed: {e}")
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if 'temp_file' in locals() and os.path.exists(temp_file):
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os.remove(temp_file)
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return False
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try:
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# Test edge cases
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print("\n3. Testing edge cases:")
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edge_cases = [
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{'Job': '', 'TaskName': 'Task with empty job', 'Note': 'Note', 'Customer': 'Customer',
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'Hours': 1.0, 'Date': '2024-01-15', 'username': 'test', 'Billable': True, 'Billed': False},
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{'Job': 'Job', 'TaskName': '', 'Note': 'Note', 'Customer': 'Customer',
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'Hours': 1.0, 'Date': '2024-01-15', 'username': 'test', 'Billable': True, 'Billed': False},
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{'Job': 'Job', 'TaskName': 'Task', 'Note': 'Note with "embedded quotes"', 'Customer': 'Customer',
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'Hours': 1.0, 'Date': '2024-01-15', 'username': 'test', 'Billable': True, 'Billed': False}
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]
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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 in edge_cases:
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sanitized_row = {}
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for key, value in row.items():
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if isinstance(value, str):
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sanitized_row[key] = sanitize_csv_text(value)
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else:
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sanitized_row[key] = value
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writer.writerow(sanitized_row)
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# Verify edge cases don't break CSV parsing
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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) == len(edge_cases) + 1, f"Expected {len(edge_cases) + 1} rows, got {len(rows)}"
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print(" ✓ Edge cases handled correctly")
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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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return True
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def test_quoting_behavior_comparison():
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"""Compare different quoting strategies to verify QUOTE_MINIMAL is best"""
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print("\nComparing CSV quoting strategies...")
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test_row = {
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'Job': 'Normal Job',
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'TaskName': 'Task with "quotes" and, comma',
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'Note': 'Simple note',
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'Customer': 'Customer',
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'Hours': 2.0,
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'Date': '2024-01-15',
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'username': 'test',
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'Billable': True,
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'Billed': False
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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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# Test QUOTE_MINIMAL (our choice)
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output_minimal = io.StringIO()
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writer_minimal = csv.DictWriter(output_minimal, fieldnames=fieldnames, quoting=csv.QUOTE_MINIMAL)
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writer_minimal.writeheader()
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writer_minimal.writerow(test_row)
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minimal_content = output_minimal.getvalue()
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# Test QUOTE_ALL
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output_all = io.StringIO()
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writer_all = csv.DictWriter(output_all, fieldnames=fieldnames, quoting=csv.QUOTE_ALL)
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writer_all.writeheader()
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writer_all.writerow(test_row)
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all_content = output_all.getvalue()
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# Test QUOTE_NONNUMERIC
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output_nonnumeric = io.StringIO()
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writer_nonnumeric = csv.DictWriter(output_nonnumeric, fieldnames=fieldnames, quoting=csv.QUOTE_NONNUMERIC)
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writer_nonnumeric.writeheader()
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writer_nonnumeric.writerow(test_row)
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nonnumeric_content = output_nonnumeric.getvalue()
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print(f" ✓ QUOTE_MINIMAL length: {len(minimal_content)} chars")
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print(f" ✓ QUOTE_ALL length: {len(all_content)} chars")
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print(f" ✓ QUOTE_NONNUMERIC: {len(nonnumeric_content)} chars")
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# QUOTE_MINIMAL should be most compact while still being safe
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assert len(minimal_content) <= len(all_content), "QUOTE_MINIMAL should be more compact"
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print(" ✓ QUOTE_MINIMAL produces most efficient output")
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# All should be readable
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for output, name in [(output_minimal, "QUOTE_MINIMAL"),
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(output_all, "QUOTE_ALL"),
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(output_nonnumeric, "QUOTE_NONNUMERIC")]:
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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"{name} should produce 2 rows"
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print(f" ✓ {name} produces valid CSV")
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except Exception as e:
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print(f" ❌ Quoting comparison failed: {e}")
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return False
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return True
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if __name__ == "__main__":
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print("🔒 Testing CSV Quoting Protection")
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print("=" * 50)
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success = True
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try:
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success = test_csv_quoting_protection() and success
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success = test_quoting_behavior_comparison() and success
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if success:
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print("\n✅ All CSV quoting protection tests passed!")
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print("\n🔒 CSV Security Features Verified:")
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print("- csv.QUOTE_MINIMAL implemented for optimal efficiency")
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print("- Special characters properly quoted when needed")
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print("- Formula injection attempts neutralized")
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print("- CSV parsing maintains integrity")
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print("- File-level operations work correctly")
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print("- Edge cases handled gracefully")
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else:
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print("\n❌ Some CSV quoting 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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