import argparse import difflib import os import json from datetime import datetime def check_file_exists(file_path): """Check if file exists and is not empty""" if not os.path.exists(file_path): print(f"❌ File does not exist: {file_path}") return False if os.path.getsize(file_path) == 0: print(f"❌ File is empty: {file_path}") return False return True def compute_similarity(pred_text, truth_text): """ Calculate overall similarity between two texts, return percentage """ seq = difflib.SequenceMatcher(None, pred_text, truth_text) return seq.ratio() * 100 def evaluate(pred_file, truth_file, result_file): """ Test function, takes prediction file path and truth file path, outputs similarity """ process_status = True comments = "" # Check file existence if not check_file_exists(pred_file): process_status = False comments = f"Prediction file {pred_file} does not exist or is empty." if not check_file_exists(truth_file): process_status = False comments = f"Truth file {truth_file} does not exist or is empty." # Process files and calculate similarity if process_status: with open(pred_file, 'r', encoding='utf-8') as f_pred, open(truth_file, 'r', encoding='utf-8') as f_truth: pred_text = f_pred.read().strip() truth_text = f_truth.read().strip() similarity = compute_similarity(pred_text, truth_text) print(f"Text similarity score: {similarity:.2f}%") result_status = similarity >= 98 if result_status: print("✅ Test passed! Text similarity meets requirements.") else: print("❌ Test failed, similarity below 98%.") else: result_status = False print("❌ Test failed, file check failed.") # Get current time time_point = datetime.now().strftime("%Y-%m-%dT%H:%M:%S") # Generate result data result_data = { "Process": process_status, "Result": result_status, "TimePoint": time_point, "comments": comments } # Write results to JSONL file if os.path.exists(result_file): with open(result_file, 'a', encoding='utf-8') as f_result: f_result.write(json.dumps(result_data, default=str) + '\n') else: with open(result_file, 'w', encoding='utf-8') as f_result: f_result.write(json.dumps(result_data, default=str) + '\n') print(f"Results saved to: {result_file}") if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--output", type=str, required=True, help="Path to extracted text file") parser.add_argument("--groundtruth", type=str, required=True, help="Path to ground truth text file") parser.add_argument("--result", type=str, required=True, help="Path to output result file") args = parser.parse_args() evaluate(args.output, args.groundtruth, args.result)