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import json |
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import re |
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import argparse |
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def extract_scores_from_jsonl(file_path): |
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scores = [] |
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happy = [] |
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sad = [] |
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angry = [] |
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excit = [] |
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score_pattern = re.compile(r"\{score: (\d+)/\d+\}") |
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with open(file_path, 'r') as f: |
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for line in f: |
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data = json.loads(line) |
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for path, score_str in data.items(): |
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match = score_pattern.search(score_str) |
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if match: |
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correct, total = int(match[0].split(" ")[1].split("/")[0]), int(match[0].split(" ")[1].split("/")[1].replace("}", "")) |
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score_value = correct / total |
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scores.append(score_value) |
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else: |
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print(path) |
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if "Happy" in path: |
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happy.append(score_value) |
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elif "sad" in path: |
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sad.append(score_value) |
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elif "Angry" in path: |
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angry.append(score_value) |
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elif "excit" in path: |
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excit.append(score_value) |
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return scores, happy, angry, sad, excit |
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def calculate_average_score(scores): |
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if not scores: |
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return 0 |
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return sum(scores) / len(scores) |
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def main(file_path): |
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scores, happy, angry, sad, excit = extract_scores_from_jsonl(file_path) |
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average_score = calculate_average_score(scores) |
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happy_score = calculate_average_score(happy) |
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angry_score = calculate_average_score(angry) |
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sad_score = calculate_average_score(sad) |
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excit_score = calculate_average_score(excit) |
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print(f"happy Score: {happy_score:.5f}") |
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print(f"angry Score: {angry_score:.5f}") |
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print(f"sad Score: {sad_score:.5f}") |
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print(f"excit Score: {excit_score:.5f}") |
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print(f"average Score: {average_score:.5f}") |
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if __name__ == "__main__": |
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parser = argparse.ArgumentParser(description="Extract and calculate scores from JSONL file.") |
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parser.add_argument("--file-path", type=str, help="Path to the JSONL file.") |
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args = parser.parse_args() |
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main(args.file_path) |
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