
'''simple docstring'''






from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame





def    UpperCAmelCase							(  UpperCAmelCase__							:							str = "laptop"):
				lowerCamelCase					:			Tuple									= F'''https://www.amazon.in/laptop/s?k={product}'''
				lowerCamelCase					:			str									= {
				    'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36\n        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36',
				    'Accept-Language': 'en-US, en;q=0.5',
				}
				lowerCamelCase					:			int									= BeautifulSoup(requests.get(UpperCAmelCase__       ,							headers=UpperCAmelCase__).text)
				# Initialize a Pandas dataframe with the column titles
				lowerCamelCase					:			Tuple									= 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					:			Union[str, Any]									= item.ha.text
												lowerCamelCase					:			Tuple									= 'https://www.amazon.in/' + item.ha.a['href']
												lowerCamelCase					:			Optional[int]									= item.find('span'       ,							attrs={'class': 'a-offscreen'}).text
												try:
																lowerCamelCase					:			Tuple									= item.find('span'       ,							attrs={'class': 'a-icon-alt'}).text
												except AttributeError:
																lowerCamelCase					:			List[Any]									= 'Not available'
												try:
																lowerCamelCase					:			List[Any]									= (
																    '₹'
																    + item.find(
																        'span'       ,							attrs={'class': 'a-price a-text-price'}).text.split('₹')[1]
																)
												except AttributeError:
																lowerCamelCase					:			List[Any]									= ''
												try:
																lowerCamelCase					:			Any									= float(
																    (
																        (
																            float(product_mrp.strip('₹').replace(','       ,							''))
																            - float(product_price.strip('₹').replace(','       ,							''))
																        )
																        / float(product_mrp.strip('₹').replace(','       ,							''))
																    )
																    * 1_00)
												except ValueError:
																lowerCamelCase					:			str									= float('nan')
								except AttributeError:
												pass
								lowerCamelCase					:			Dict									= [
								    product_title,
								    product_link,
								    product_price,
								    product_rating,
								    product_mrp,
								    discount,
								]
				lowerCamelCase					:			List[Any]									= ' '
				lowerCamelCase					:			List[Any]									= ' '
				data_frame.index += 1
				return data_frame


if __name__ == "__main__":
					A			      =      'headphones'
					get_amazon_product_data(product).to_csv(f"""Amazon Product Data for {product}.csv""")


'''simple docstring'''






from __future__ import annotations





def    UpperCAmelCase							(  UpperCAmelCase__							:							int):
				lowerCamelCase					:			List[Any]									= str(UpperCAmelCase__)
				return len(UpperCAmelCase__) == 9 and set(UpperCAmelCase__) == set('123456789')





def    UpperCAmelCase							(  ):
				for base_num in range(99_99       ,							49_99       ,							-1):
								lowerCamelCase					:			Tuple									= 10_00_02 * base_num
								if is_9_pandigital(UpperCAmelCase__):
												return candidate

				for base_num in range(3_33       ,							99       ,							-1):
								lowerCamelCase					:			List[Any]									= 1_00_20_03 * base_num
								if is_9_pandigital(UpperCAmelCase__):
												return candidate

				return None


if __name__ == "__main__":
					print(f"""{solution() = }""")
