



"""simple docstring"""
from json import JSONDecodeError  # Workaround for requests.exceptions.JSONDecodeError

import requests



def        lowerCAmelCase_(   lowercase_     :							str = "isbn/0140328726"							)	->       dict:
				_lowerCamelCase        =				olid.strip().strip('''/'''							)  # Remove leading/trailing whitespace & slashes
				if new_olid.count('''/'''							) != 1:
								_lowerCamelCase        =				F"""{olid} is not a valid Open Library olid"""
								raise ValueError(lowercase_							)
				return requests.get(F"""https://openlibrary.org/{new_olid}.json"""							).json()



def        lowerCAmelCase_(   lowercase_     :							dict							)	->       dict:
				_lowerCamelCase        =				{
				    '''title''': '''Title''',
				    '''publish_date''': '''Publish date''',
				    '''authors''': '''Authors''',
				    '''number_of_pages''': '''Number of pages:''',
				    '''first_sentence''': '''First sentence''',
				    '''isbn_10''': '''ISBN (10)''',
				    '''isbn_13''': '''ISBN (13)''',
				}
				_lowerCamelCase        =				{better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
				_lowerCamelCase        =				[
				    get_openlibrary_data(author['''key''']							)['''name'''] for author in data['''Authors''']
				]
				_lowerCamelCase        =				data['''First sentence''']['''value''']
				for key, value in data.items():
								if isinstance(lowercase_						,   lowercase_							):
												_lowerCamelCase        =				''', '''.join(lowercase_							)
				return data


if __name__ == "__main__":
			import doctest

			doctest.testmod()

			while True:
						__SCREAMING_SNAKE_CASE  :						int    							=      input('''\nEnter the ISBN code to search (or \'quit\' to stop): ''').strip()
						if isbn.lower() in ("", "q", "quit", "exit", "stop"):
									break

						if len(isbn) not in (1_0, 1_3) or not isbn.isdigit():
									print(F"""Sorry, {isbn} is not a valid ISBN.  Please, input a valid ISBN.""")
									continue

						print(F"""\nSearching Open Library for ISBN: {isbn}...\n""")

						try:
									__SCREAMING_SNAKE_CASE  :						Dict    							=      summarize_book(get_openlibrary_data(F"""isbn/{isbn}"""))
									print('''\n'''.join(F"""{key}: {value}""" for key, value in book_summary.items()))
						except JSONDecodeError:  # Workaround for requests.exceptions.RequestException:
									print(F"""Sorry, there are no results for ISBN: {isbn}.""")





"""simple docstring"""
from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame



def        lowerCAmelCase_(   lowercase_     :							str = "laptop"							)	->       DataFrame:
				_lowerCamelCase        =				F"""https://www.amazon.in/laptop/s?k={product}"""
				_lowerCamelCase        =				{
				    '''User-Agent''': '''Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36
        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36''',
				    '''Accept-Language''': '''en-US, en;q=0.5''',
				}
				_lowerCamelCase        =				BeautifulSoup(requests.get(lowercase_						,   headers=lowercase_							).text							)
				# Initialize a Pandas dataframe with the column titles
				_lowerCamelCase        =				DataFrame(
				    columns=[
				        '''Product Title''',
				        '''Product Link''',
				        '''Current Price of the product''',
				        '''Product Rating''',
				        '''MRP of the product''',
				        '''Discount''',
				    ]							)
				# Loop through each entry and store them in the dataframe
				for item, _ in zip_longest(
				    soup.find_all(
				        '''div'''						,   attrs={'''class''': '''s-result-item''', '''data-component-type''': '''s-search-result'''}						,   )						,   soup.find_all('''div'''						,   attrs={'''class''': '''a-row a-size-base a-color-base'''}							)						,   ):
								try:
												_lowerCamelCase        =				item.ha.text
												_lowerCamelCase        =				'''https://www.amazon.in/''' + item.ha.a['''href''']
												_lowerCamelCase        =				item.find('''span'''						,   attrs={'''class''': '''a-offscreen'''}							).text
												try:
																_lowerCamelCase        =				item.find('''span'''						,   attrs={'''class''': '''a-icon-alt'''}							).text
												except AttributeError:
																_lowerCamelCase        =				'''Not available'''
												try:
																_lowerCamelCase        =				(
																    '''₹'''
																    + item.find(
																        '''span'''						,   attrs={'''class''': '''a-price a-text-price'''}							).text.split('''₹'''							)[1]
																)
												except AttributeError:
																_lowerCamelCase        =				''''''
												try:
																_lowerCamelCase        =				float(
																    (
																        (
																            float(product_mrp.strip('''₹'''							).replace(''','''						,   ''''''							)							)
																            - float(product_price.strip('''₹'''							).replace(''','''						,   ''''''							)							)
																        )
																        / float(product_mrp.strip('''₹'''							).replace(''','''						,   ''''''							)							)
																    )
																    * 1_00							)
												except ValueError:
																_lowerCamelCase        =				float('''nan'''							)
								except AttributeError:
												pass
								_lowerCamelCase        =				[
								    product_title,
								    product_link,
								    product_price,
								    product_rating,
								    product_mrp,
								    discount,
								]
				_lowerCamelCase        =				''' '''
				_lowerCamelCase        =				''' '''
				data_frame.index += 1
				return data_frame


if __name__ == "__main__":
			__SCREAMING_SNAKE_CASE  :						Optional[int]    							=      '''headphones'''
			get_amazon_product_data(product).to_csv(F"""Amazon Product Data for {product}.csv""")
