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