def decrypt_to_jsonl(self, excel_file=None, output_file=None):
    import shutil
    from multiprocessing import Pool
    from tqdm import tqdm
    import subprocess
    import pandas as pd
    import os

    # 默认使用当天目录下的 chat.xlsx
    if excel_file is None:
        excel_file = os.path.join(self.today_dir, 'chat.xlsx')

    if not os.path.exists(excel_file):
        print(f"错误：找不到 {excel_file}")
        return

    # 默认输出到当天目录
    if output_file is None:
        output_file = os.path.join(self.today_dir, 'chatdata.jsonl')

    # 如果已存在旧文件，先删除
    if os.path.exists(output_file):
        os.remove(output_file)

    print(f"开始加载文件 {excel_file} ……💕")
    df = pd.read_excel(excel_file, engine='openpyxl')

    # --- 核心修改：提前去重加密字段，避免重复解密 ---
    df = df.drop_duplicates(subset=['encrypt_key', 'encrypt_chat_msg'])

    encrypt_key = df['encrypt_key'].tolist()
    encrypt_chat_msg = df['encrypt_chat_msg'].tolist()

    print("开始解密聊天记录……💕")

    def _process(i):
        result = subprocess.run(
            [self.sdktools_path, '3', encrypt_key[i], encrypt_chat_msg[i]],
            stdout=subprocess.PIPE
        )
        return result.stdout.decode('utf-8').strip()

    # 多进程解密
    with Pool() as p:
        results = list(tqdm(
            p.map(_process, range(len(encrypt_key))),
            total=len(encrypt_key),
            desc='Processing'
        ))

    # 再次去重，防止 SDK 输出微小差异造成重复
    unique_results = list(dict.fromkeys(results))

    # 写入 JSONL
    with open(output_file, 'w', encoding='utf-8') as f:
        for line in unique_results:
            f.write(line + '\n')

    print(f"数据处理完成 ✔ 已保存到 {output_file}")