# Copyright (c) OpenMMLab. All rights reserved.

import argparse

import os

import os.path as osp

import oss2

ACCESS_KEY_ID = os.getenv('OSS_ACCESS_KEY_ID', None)

ACCESS_KEY_SECRET = os.getenv('OSS_ACCESS_KEY_SECRET', None)

BUCKET_NAME = 'openmmlab'

ENDPOINT = 'https://oss-accelerate.aliyuncs.com'

def parse_args():

    parser = argparse.ArgumentParser(description='Upload models to OSS')

    parser.add_argument('model_zoo', type=str, help='model_zoo input')

    parser.add_argument(

        '--dst-folder',

        type=str,

        default='mmsegmentation/v0.5',

        help='destination folder')

    args = parser.parse_args()

    return args

def main():

    args = parse_args()

    model_zoo = args.model_zoo

    dst_folder = args.dst_folder

    bucket = oss2.Bucket(

        oss2.Auth(ACCESS_KEY_ID, ACCESS_KEY_SECRET), ENDPOINT, BUCKET_NAME)

    for root, dirs, files in os.walk(model_zoo):

        for file in files:

            file_path = osp.relpath(osp.join(root, file), model_zoo)

            print(f'Uploading {file_path}')

            oss2.resumable_upload(bucket, osp.join(dst_folder, file_path),

                                  osp.join(model_zoo, file_path))

            bucket.put_object_acl(

                osp.join(dst_folder, file_path), oss2.OBJECT_ACL_PUBLIC_READ)

if __name__ == '__main__':

    main()