import json
import pandas as pd
import ast

def load_json(file_path):
    with open(file_path, "r", encoding="utf-8") as file:
        data = json.load(file)
        print(f"load from {file_path}, {len(data)}")
        return data
    

# file_path = "/share/project/sunshuang/simpleqa_gen_data/data/simple_qa_test_set.json"
file_path = "/share/project/sunshuang/simpleqa_gen_data/data/simple_qa_test_set.csv"

data = pd.read_csv(file_path)

# data = load_json(file_path)

format_data = []

for id, item in enumerate(data.to_dict(orient="records")):
    item["metadata"] = ast.literal_eval(item["metadata"])
    print(type(item["metadata"]))
    # format_item = {
    #     "id": id,
    #     "Question": item["problem"],
    #     "answer": [item["answer"]],
    #     "urls": item["metadata"]["urls"]
    # }
    format_item = {
        "id": id,
        "Question": item["problem"],
        "answer": [item["answer"]],
        "metadata": item["metadata"]
    }
    format_data.append(format_item)

with open("/share/project/sunshuang/simpleqa_gen_data/data/simple_qa_test_set_format_with_metadata.json", "w", encoding="utf-8") as file:
    json.dump(format_data, file, ensure_ascii=False, indent=4)
    print(f"save to /share/project/sunshuang/simpleqa_gen_data/data/simple_qa_test_set_format_with_metadata.json, {len(format_data)}")