# copyright (c) 2020 PaddlePaddle Authors. All Rights Reserve.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import os
import sys
import tarfile
import requests
from tqdm import tqdm

from ppocr.utils.logging import get_logger

MODELS_DIR = os.path.expanduser("~/.paddleocr/models/")


def download_with_progressbar(url, save_path):
    logger = get_logger()
    if save_path and os.path.exists(save_path):
        logger.info(f"Path {save_path} already exists. Skipping...")
        return
    response = requests.get(url, stream=True)
    if response.status_code == 200:
        total_size_in_bytes = int(response.headers.get("content-length", 1))
        block_size = 1024  # 1 Kibibyte
        progress_bar = tqdm(total=total_size_in_bytes, unit="iB", unit_scale=True)
        with open(save_path, "wb") as file:
            for data in response.iter_content(block_size):
                progress_bar.update(len(data))
                file.write(data)
        progress_bar.close()
    else:
        logger.error("Something went wrong while downloading models")
        sys.exit(0)


def maybe_download(model_storage_directory, url):
    # using custom model
    tar_file_name_list = [".pdiparams", ".pdiparams.info", ".pdmodel"]
    if not os.path.exists(
        os.path.join(model_storage_directory, "inference.pdiparams")
    ) or not os.path.exists(os.path.join(model_storage_directory, "inference.pdmodel")):
        assert url.endswith(".tar"), "Only supports tar compressed package"
        tmp_path = os.path.join(model_storage_directory, url.split("/")[-1])
        print("download {} to {}".format(url, tmp_path))
        os.makedirs(model_storage_directory, exist_ok=True)
        download_with_progressbar(url, tmp_path)
        with tarfile.open(tmp_path, "r") as tarObj:
            for member in tarObj.getmembers():
                filename = None
                for tar_file_name in tar_file_name_list:
                    if member.name.endswith(tar_file_name):
                        filename = "inference" + tar_file_name
                if filename is None:
                    continue
                file = tarObj.extractfile(member)
                with open(os.path.join(model_storage_directory, filename), "wb") as f:
                    f.write(file.read())
        os.remove(tmp_path)


def maybe_download_params(model_path):
    if os.path.exists(model_path) or not is_link(model_path):
        return model_path
    else:
        url = model_path
    tmp_path = os.path.join(MODELS_DIR, url.split("/")[-1])
    print("download {} to {}".format(url, tmp_path))
    os.makedirs(MODELS_DIR, exist_ok=True)
    download_with_progressbar(url, tmp_path)
    return tmp_path


def is_link(s):
    return s is not None and s.startswith("http")


def confirm_model_dir_url(model_dir, default_model_dir, default_url):
    url = default_url
    if model_dir is None or is_link(model_dir):
        if is_link(model_dir):
            url = model_dir
        file_name = url.split("/")[-1][:-4]
        model_dir = default_model_dir
        model_dir = os.path.join(model_dir, file_name)
    return model_dir, url