def uploadPart(*, uploadId, indexList, partnumberList, srcfile, ChunkSize_auto):
    partnumber = 1  # 当前循环要上传的Partnumber
    total = len(indexList)
    md5list = [hashlib.md5(b'')] * total
    complete_list = []
    # 线程池Start
    with futures.ThreadPoolExecutor(max_workers=MaxThread) as pool:
        for partStartIndex in indexList:
            # start to upload part
            if partnumber not in partnumberList:
                dryrun = False
            else:
                dryrun = True
            # upload 1 part/thread, or dryrun to only caculate md5
            if JobType == 'LOCAL_TO_S3':
                pool.submit(uploadThread,
                            uploadId=uploadId,
                            partnumber=partnumber,
                            partStartIndex=partStartIndex,
                            srcfileKey=srcfile["Key"],
                            total=total,
                            md5list=md5list,
                            dryrun=dryrun,
                            complete_list=complete_list,
                            ChunkSize=ChunkSize_auto)
            elif JobType == 'S3_TO_S3':
                pool.submit(download_uploadThread,
                            uploadId=uploadId,
                            partnumber=partnumber,
                            partStartIndex=partStartIndex,
                            srcfileKey=srcfile["Key"],
                            total=total,
                            md5list=md5list,
                            dryrun=dryrun,
                            complete_list=complete_list,
                            ChunkSize=ChunkSize_auto)
            elif JobType == 'ALIOSS_TO_S3':
                pool.submit(alioss_download_uploadThread,
                            uploadId=uploadId,
                            partnumber=partnumber,
                            partStartIndex=partStartIndex,
                            srcfileKey=srcfile["Key"],
                            srcfileSize=srcfile["Size"],
                            total=total,
                            md5list=md5list,
                            dryrun=dryrun,
                            complete_list=complete_list,
                            ChunkSize=ChunkSize_auto)
            partnumber += 1
    # 线程池End
    logger.info(f'All parts uploaded - {srcfile["Key"]} - size: {srcfile["Size"]}')

    # Local upload 的时候考虑传输过程中文件会变更的情况，重新扫描本地文件的MD5，而不是用之前读取的body去生成的md5list
    if ifVerifyMD5 and JobType == 'LOCAL_TO_S3':
        md5list = cal_md5list(indexList=indexList,
                              srcfileKey=srcfile["Key"],
                              ChunkSize=ChunkSize_auto)
    # 计算所有分片列表的总etag: cal_etag
    digests = b"".join(m.digest() for m in md5list)
    md5full = hashlib.md5(digests)
    cal_etag = '"%s-%s"' % (md5full.hexdigest(), len(md5list))
    return cal_etag