
"""simple docstring"""







from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame
def     __lowerCAmelCase				(_UpperCamelCase = "laptop"		):
	__lowerCAmelCase			:						Any									=      F"https://www.amazon.in/laptop/s?k={product}"
	__lowerCAmelCase			:						Dict									=      {
	    '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			:						List[Any]									=      BeautifulSoup(requests.get(_UpperCamelCase       ,  headers=_UpperCamelCase		).text		)
	# Initialize a Pandas dataframe with the column titles
	__lowerCAmelCase			:						Union[str, Any]									=      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			:						str									=      item.ha.text
			__lowerCAmelCase			:						Tuple									=      'https://www.amazon.in/' + item.ha.a['href']
			__lowerCAmelCase			:						Optional[Any]									=      item.find('span'       ,  attrs={'class': 'a-offscreen'}		).text
			try:
				__lowerCAmelCase			:						List[Any]									=      item.find('span'       ,  attrs={'class': 'a-icon-alt'}		).text
			except AttributeError:
				__lowerCAmelCase			:						List[str]									=      'Not available'
			try:
				__lowerCAmelCase			:						Any									=      (
				    '₹'
				    + item.find(
				        'span'       ,  attrs={'class': 'a-price a-text-price'}		).text.split('₹'		)[1]
				)
			except AttributeError:
				__lowerCAmelCase			:						Optional[int]									=      ''
			try:
				__lowerCAmelCase			:						List[Any]									=      float(
				    (
				        (
				            float(product_mrp.strip('₹'		).replace(','       ,  ''		)		)
				            - float(product_price.strip('₹'		).replace(','       ,  ''		)		)
				        )
				        / float(product_mrp.strip('₹'		).replace(','       ,  ''		)		)
				    )
				    * 100		)
			except ValueError:
				__lowerCAmelCase			:						str									=      float('nan'		)
		except AttributeError:
			pass
		__lowerCAmelCase			:						str									=      [
		    product_title,
		    product_link,
		    product_price,
		    product_rating,
		    product_mrp,
		    discount,
		]
	__lowerCAmelCase			:						List[Any]									=      ' '
	__lowerCAmelCase			:						Tuple									=      ' '
	data_frame.index += 1
	return data_frame


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




from string import ascii_lowercase, ascii_uppercase






def 				snake_case__							(			_A:					str )    ->	str:

		'''simple docstring'''


		if not sentence:
				return ""
		lowerCAmelCase   					=  dict(zip(_A      ,   _A ) )
		return lower_to_upper.get(sentence[0]      ,   sentence[0] ) + sentence[1:]


if __name__ == "__main__":
						from doctest import testmod

						testmod()




