import os
from my_utils import save_json, load_json, setup_logger
from bert.obtain_inst_vec import bb2vec
import multiprocessing
from tqdm import tqdm
import warnings

# 忽略输出torch cpu执行警告
warnings.filterwarnings('ignore', category=UserWarning)


def addr2vec(base_file_path):
    # 从路径拆分文件名与路径
    file_name = str(os.path.basename(base_file_path))
    file_path = str(os.path.dirname(base_file_path))

    # 忽略已生成的文件
    if os.path.exists(os.path.join(file_path, 'final', file_name)):
        return

    # 如果不是路径则开始转化
    if file_name:
        file_json = load_json(base_file_path)
        # 确保存在基础文件而不存在特征文件的情况
        feature_json = load_json(os.path.join(file_path, 'feature', file_name)) if os.path.exists(
            os.path.join(file_path, 'feature', file_name)) else None
        if feature_json is not None:
            feature_set = {}
            for item in feature_json:
                feature_set[item['addr']] = bb2vec(item['opcode'])
            for item in file_json['acfg_list']:
                bb_feature_addr_list = item['block_features']
                item['block_features'] = [feature_set[key] for key in bb_feature_addr_list]
            save_json(os.path.join(file_path, 'final', file_name), file_json)
        else:
            logger.error(f'文件{file_name}不存在特征文件')
    return


if __name__ == '__main__':
    logger = setup_logger('feature2json', './log/feature2json.log')
    sample_type = 'benign'
    json_path = os.path.join(f'./out/json/{sample_type}')
    json_files = os.listdir(json_path)
    with multiprocessing.Pool(processes=os.cpu_count()) as pool:
        result = list(tqdm(pool.imap_unordered(addr2vec, [os.path.join(json_path, file) for file in json_files]),
                           total=len(json_files)))

    # for json_file in json_files:
    #     addr2vec(json_path, json_file)