import json

import csv



def convert_to_alpaca_format(input_file, output_file):
    """
    读取csv文件，提取其中的question和answer列的数据，并转换为 Alpaca 格式。

    输入csv格式:
    question,A,B,C,D,E,F,G,H,I,J,answer

    输出格式 (swift):
    {
        "system": "你是个优秀的论文分类师",
        "conversation": [
            {
                "human": "Based on the title...",
                "assistant": "D"
            }
        ]
    }
    """
    choice_text=", A. quant-ph\nB. physics.chem-ph\nC. physics.atom-ph\nD. cond-mat.soft\nE. cs.RO\nF. cs.CL\nG. cs.SE\nH. cs.IR\nI. hep-th\nJ. hep-ph\nK. physics.optics\nL. cs.AI\nM. cs.CV\nN. nucl-th\nO. astro-ph\nP. math.PR\nQ. cs.OS\nR. eess.SP\nS. math.OC\nT. math.DS\nU. math.DG\nV. math.MP\nW. cs.MM\nX. stat.ME\nY. math.CO\nZ. cs.NE"
    print(f"转换数据: {input_file} -> {output_file}")

    converted_data = []
    with open(input_file, "r", encoding="utf-8-sig") as f:
        csv_reader = csv.DictReader(f)
        for row in csv_reader:
            try:
                # 检查必要的列是否存在
                if "question" not in row or "answer" not in row:
                    print(f"警告: 数据缺少必要列: {row}")
                    continue

                # 创建新的 swift 格式数据
                


                
                new_data = {
                    "system": "你是个优秀的论文分类师",
                    "conversation": [
                        {
                            "human": row["question"]+choice_text,
                            "assistant": row["answer"]
                        }
                    ]
                }
                converted_data.append(new_data)

            except Exception as e:
                print(f"处理行时发生错误: {str(e)}")

    # 写入输出文件
    with open(output_file, "w", encoding="utf-8") as f:
        for item in converted_data:
            f.write(json.dumps(item, ensure_ascii=False) + "\n")

    print(f"转换完成! 共转换 {len(converted_data)} 条数据")

if __name__ == "__main__":

    input_file = "G:\\11\\data-prepare\\eval_oc_data-26gai.csv"
    output_file = "G:\\11\\data-prepare\\newformat_sft_test_data--swift-sft-26.jsonl"  # 输出文件路径

    convert_to_alpaca_format(input_file, output_file)