import requests
from time import time
from threading import Thread

# This example shows how downloading multiple images from the
# internet can be sped up using multiple threads. We are just
# getting JSON responses and recording the time taken in each
# example

# Images are being download from the pexels.com API

from pexels_api_key import API_KEY


api_url = 'https://api.pexels.com/v1/search?query='
queries = ['people', 'cars', 'landscpapes', 'pets',
           'tech', 'food', 'books', 'sports', 'games', 'plants']


def download_images(query):
    full_url = f'{api_url}{query}'
    headers = {'Authorization': API_KEY}
    requests.get(full_url, data=None, headers=headers)


# Sequential Example

def record_seq_time():
    t0 = time()
    print('\nDownloading images sequentially')
    for query in queries:
        download_images(query=query)
    t1 = time()
    print('Download complete')
    return f'{t1-t0:.2f}s'


# Threaded example - no need to wait for a response before sending the next request


def record_con_time():
    t0 = time()
    threads = []
    print('\nDownloading images using multiple threads')
    for query in queries:
        thread = Thread(target=download_images, args=(query,))
        threads.append(thread)
        thread.start()
    for thread in threads:
        thread.join()
    t1 = time()
    print('Download complete')
    return f'{t1-t0:.2f}'



def main():
    seq_time = record_seq_time()
    con_time = record_con_time()
    print('\n=======================================================')
    print(f'Sequential download completed in {seq_time}')
    print(f'Multi-threaded download completed in {con_time}')  # this is significantly faster 
    print('=======================================================')


if __name__ == '__main__':
    main()