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import argparse
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import json
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import os
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from datetime import datetime
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from difflib import SequenceMatcher
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def load_txt(file_path):
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"""Read text file, return False if file doesn't exist or can't be read"""
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if not os.path.isfile(file_path):
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print(f"❌ Error: File does not exist or cannot be accessed: {file_path}")
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return False
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try:
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with open(file_path, "r", encoding="utf-8") as f:
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return f.read()
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except Exception as e:
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print(f"❌ Error: Exception occurred while opening file: {str(e)}")
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return False
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def evaluate(pred_file, truth_file, result_file):
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"""Compare accuracy between predicted text and standard text"""
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pred_text = load_txt(pred_file)
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truth_text = load_txt(truth_file)
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if not pred_text or not truth_text:
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process_status = False
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result_status = False
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comments = f"Cannot read file {pred_file if not pred_text else truth_file}"
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write_result(result_file, process_status, result_status, comments)
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return
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pred_text = pred_text.replace("\n", "").replace(" ", "")
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truth_text = truth_text.replace("\n", "").replace(" ", "")
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total = len(truth_text)
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if total == 0:
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print("⚠️ Standard answer file has no text content!")
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process_status = False
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result_status = False
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comments = "Standard answer file is empty"
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write_result(result_file, process_status, result_status, comments)
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return
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matcher = SequenceMatcher(None, truth_text, pred_text)
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accuracy = matcher.ratio() * 100
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print(f"Extracted text accuracy: {accuracy:.2f}%")
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if accuracy >= 95:
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print("✅ Test passed!")
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process_status = True
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result_status = True
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comments = f"Extracted text accuracy {accuracy:.2f}%, meets requirements."
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else:
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print("❌ Test failed!")
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process_status = True
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result_status = False
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comments = f"Extracted text accuracy {accuracy:.2f}%, does not meet requirements."
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write_result(result_file, process_status, result_status, comments)
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def write_result(result_file, process_status, result_status, comments):
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"""Write test results to JSONL file"""
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result_data = {
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"Process": process_status,
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"Result": result_status,
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"TimePoint": datetime.now().strftime("%Y-%m-%dT%H:%M:%S"),
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"comments": comments
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}
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with open(result_file, 'a', encoding='utf-8') as f:
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json.dump(result_data, f, ensure_ascii=False)
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f.write("\n")
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--output", type=str, required=True, help="Path to extracted text file")
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parser.add_argument("--groundtruth", type=str, required=True, help="Path to standard text file")
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parser.add_argument("--result", type=str, required=True, help="Path to JSONL file for saving results")
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args = parser.parse_args()
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evaluate(args.output, args.groundtruth, args.result) |
