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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)