# -*- coding: utf-8 -*- import argparse import sys import os import json import re from datetime import datetime from charset_normalizer import detect from difflib import SequenceMatcher def preprocess_text(text): """ Preprocess text by removing HTML tags, extra whitespace, and converting to lowercase. """ # Remove HTML tags text = re.sub(r'<[^>]+>', '', text) # Replace multiple whitespace characters with a single space text = re.sub(r'\s+', ' ', text) # Strip leading/trailing whitespace and convert to lowercase return text.strip().lower() def compute_precision_recall(extracted_content, ground_truth): """ Compute approximate precision and recall using SequenceMatcher ratio, treating the ratio as both precision and recall estimates. """ extracted = preprocess_text(extracted_content) ground = preprocess_text(ground_truth) matcher = SequenceMatcher(None, extracted, ground) match_ratio = matcher.ratio() # Use match_ratio as estimate for precision and recall precision = recall = match_ratio return precision, recall def check_file_exists(file_path): """ Check if the file exists and is not empty. """ if not os.path.isfile(file_path): print(f"❌ Error: File does not exist: {file_path}") return False if os.path.getsize(file_path) == 0: print(f"❌ Error: File is empty: {file_path}") return False return True def read_file_with_encoding(file_path): """ Read file content with automatic encoding detection. """ try: with open(file_path, "rb") as f: raw_data = f.read() detected = detect(raw_data) encoding = detected["encoding"] if detected["encoding"] else "utf-8" print(f"📄 Detected file {file_path} encoding: {encoding}") return raw_data.decode(encoding).strip() except Exception as e: print(f"❌ Failed to read file {file_path}: {e}") raise def compare_txt_files(extracted_txt_path, ground_truth_txt_path, result_file): try: # Check files existence and non-empty status process_status = check_file_exists(extracted_txt_path) and check_file_exists(ground_truth_txt_path) if not process_status: raise ValueError("File check failed") time_point = datetime.now().strftime("%Y-%m-%dT%H:%M:%S") # Read file contents extracted_message = read_file_with_encoding(extracted_txt_path) ground_truth_message = read_file_with_encoding(ground_truth_txt_path) # Compute precision, recall, and F1 score precision, recall = compute_precision_recall(extracted_message, ground_truth_message) f1 = 2 * precision * recall / (precision + recall + 1e-10) # Threshold for passing the test (adjustable) threshold = 0.90 passed = f1 >= threshold match_result = "✅" if passed else "❌" print(f"🔍 Precision: {precision:.4f} | Recall: {recall:.4f} | F1: {f1:.4f}") print(f"Result: {match_result} F1 {f1:.4f} {'meets' if passed else 'does not meet'} threshold {threshold}") comments = f"F1 {f1:.4f} {'meets' if passed else 'does not meet'} threshold {threshold}" # Write results to jsonl file result_data = { "Process": process_status, "Result": passed, "TimePoint": time_point, "comments": comments } with open(result_file, 'a', encoding="utf-8") as f: f.write(json.dumps(result_data, ensure_ascii=False, default=str) + "\n") print("\nTest complete - Final status: " + ("PASS" if passed else "FAIL")) except Exception as e: print(f"❌ Test exception: {e}") print("\nTest complete - Final status: ERROR") raise def main(): parser = argparse.ArgumentParser(description="Compare extracted text with ground truth file content") parser.add_argument("--output", required=True, help="Path to extracted output txt file") parser.add_argument("--groundtruth", required=True, help="Path to ground truth txt file") parser.add_argument("--result", required=True, help="Path to jsonl file for storing test results") args = parser.parse_args() compare_txt_files(args.output, args.groundtruth, args.result) if __name__ == "__main__": main()