import argparse import re import json from datetime import datetime import os def jaccard_similarity_tokens(str1, str2): # Token-based Jaccard similarity tokens1 = set(re.findall(r'\w+', str1.lower())) tokens2 = set(re.findall(r'\w+', str2.lower())) if not tokens1 or not tokens2: return 0.0 intersection = len(tokens1 & tokens2) union = len(tokens1 | tokens2) return intersection / union def validate_fake_text(input_file, output_file, result_file=None): try: with open(input_file, 'r', encoding='utf-8') as file: original_content = file.read() except Exception as e: msg = f"Error: Unable to read original text file {input_file}, reason: {str(e)}" print(msg) if result_file: record_result(result_file, False, msg) return False try: with open(output_file, 'r', encoding='utf-8') as file: fake_content = file.read() except Exception as e: msg = f"Error: Unable to read fake text file {output_file}, reason: {str(e)}" print(msg) if result_file: record_result(result_file, False, msg) return False # Early checks if original_content.strip() == fake_content.strip(): msg = "Error: Output text is identical to input text. No replacement performed." print(msg) if result_file: record_result(result_file, False, msg) return False if len(fake_content.strip()) < 20: msg = "Error: Output fake text is too short to be valid replacement." print(msg) if result_file: record_result(result_file, False, msg) return False # Token-based similarity similarity = jaccard_similarity_tokens(original_content, fake_content) print(f"Token-based Jaccard similarity: {similarity:.4f}") threshold = 0.3 # Token-level threshold if similarity < threshold: result_message = f"✅ Fake text replacement successful. Similarity {similarity:.4f} below threshold." print(result_message) if result_file: record_result(result_file, True, result_message) return True else: result_message = f"❌ Fake text too similar to original. Similarity {similarity:.4f} above threshold." print(result_message) if result_file: record_result(result_file, False, result_message) return False def record_result(result_file, result, comments): # Get current timestamp time_point = datetime.now().strftime('%Y-%m-%dT%H:%M:%S') # Build result dictionary result_data = { "Process": True, "Result": result, "TimePoint": time_point, "comments": comments } # Write to jsonl file try: # Create file if it doesn't exist and write file_exists = os.path.exists(result_file) with open(result_file, 'a', encoding='utf-8') as file: if not file_exists: # Write empty json line if file doesn't exist (optional) file.write('\n') json.dump(result_data, file, ensure_ascii=False, default=str) file.write('\n') except Exception as e: print(f"Error: Unable to write to result file {result_file}, reason: {str(e)}") if __name__ == "__main__": parser = argparse.ArgumentParser(description="Validate effectiveness of fake text replacement") parser.add_argument("--groundtruth", type=str, required=True, help="Path to original text file") parser.add_argument("--output", type=str, required=True, help="Path to generated fake text file") parser.add_argument("--result", type=str, required=False, help="Path to save results in jsonl format", default="test_results.jsonl") args = parser.parse_args() # Call test function validate_fake_text(args.groundtruth, args.output, result_file=args.result)