# Download from google drive
###### tags: `python` `Google drive` `tutorial`

import argparse

import logging
import os
import requests
import zipfile

"""
This file is copied from:
https://github.com/ColeMurray/medium-facenet-tutorial/blob/master/medium_facenet_tutorial/download_and_extract_model.py
https://github.com/davidsandberg/facenet/blob/master/src/download_and_extract_model.py
"""

model_dict = {
    # filename: fileid
    '20170511-185253': '0B5MzpY9kBtDVOTVnU3NIaUdySFE'
}


def download_and_extract_model(model_name, data_dir):
    if not os.path.exists(data_dir):
        os.makedirs(data_dir)

    file_id = model_dict[model_name]
    destination = os.path.join(data_dir, model_name + '.zip')
    if not os.path.exists(destination):
        print('Downloading model to %s' % destination)
        download_file_from_google_drive(file_id, destination)
        with zipfile.ZipFile(destination, 'r') as zip_ref:
            print('Extracting model to %s' % data_dir)
            zip_ref.extractall(data_dir)


def download_file_from_google_drive(file_id, destination):
    URL = "https://drive.google.com/uc?export=download"

    session = requests.Session()

    response = session.get(URL, params={'id': file_id}, stream=True)
    token = get_confirm_token(response)

    if token:
        params = {'id': file_id, 'confirm': token}
        response = session.get(URL, params=params, stream=True)

    save_response_content(response, destination)


def get_confirm_token(response):
    for key, value in response.cookies.items():
        if key.startswith('download_warning'):
            return value

    return None


def save_response_content(response, destination):
    CHUNK_SIZE = 32768

    with open(destination, "wb") as f:
        for chunk in response.iter_content(CHUNK_SIZE):
            if chunk:  # filter out keep-alive new chunks
                f.write(chunk)


if __name__ == '__main__':
    logging.basicConfig(level=logging.DEBUG)
    parser = argparse.ArgumentParser(add_help=True)
    parser.add_argument('--model-dir', type=str, action='store', dest='model_dir',
                        help='Path to model protobuf graph')

    args = parser.parse_args()

download_and_extract_model('filename', args.model_dir)