
from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame







def     A__   (  lowerCamelCase = "laptop"  )					->		DataFrame:
				UpperCamelCase_:							Any		=  F'''https://www.amazon.in/laptop/s?k={product}'''
				UpperCamelCase_:							str		=  {
				    """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""",
				}
				UpperCamelCase_:							int		=  BeautifulSoup(requests.get(lowerCamelCase       ,      headers=lowerCamelCase  ).text  )
				# Initialize a Pandas dataframe with the column titles
				UpperCamelCase_:							Optional[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:
												UpperCamelCase_:							Dict		=  item.ha.text
												UpperCamelCase_:							List[Any]		=  """https://www.amazon.in/""" + item.ha.a["""href"""]
												UpperCamelCase_:							Any		=  item.find("""span"""       ,      attrs={"""class""": """a-offscreen"""}  ).text
												try:
																UpperCamelCase_:							Dict		=  item.find("""span"""       ,      attrs={"""class""": """a-icon-alt"""}  ).text
												except AttributeError:
																UpperCamelCase_:							Optional[Any]		=  """Not available"""
												try:
																UpperCamelCase_:							Dict		=  (
																    """₹"""
																    + item.find(
																        """span"""       ,      attrs={"""class""": """a-price a-text-price"""}  ).text.split("""₹"""  )[1]
																)
												except AttributeError:
																UpperCamelCase_:							Dict		=  """"""
												try:
																UpperCamelCase_:							Any		=  float(
																    (
																        (
																            float(product_mrp.strip("""₹"""  ).replace(""","""       ,      """"""  )  )
																            - float(product_price.strip("""₹"""  ).replace(""","""       ,      """"""  )  )
																        )
																        / float(product_mrp.strip("""₹"""  ).replace(""","""       ,      """"""  )  )
																    )
																    * 1_00  )
												except ValueError:
																UpperCamelCase_:							Optional[int]		=  float("""nan"""  )
								except AttributeError:
												pass
								UpperCamelCase_:							Dict		=  [
								    product_title,
								    product_link,
								    product_price,
								    product_rating,
								    product_mrp,
								    discount,
								]
				UpperCamelCase_:							List[Any]		=  """ """
				UpperCamelCase_:							List[str]		=  """ """
				data_frame.index += 1
				return data_frame


if __name__ == "__main__":
							lowerCamelCase_  :	List[Any] 				=					"""headphones"""
							get_amazon_product_data(product).to_csv(F"""Amazon Product Data for {product}.csv""")








def     A__   (  lowerCamelCase       ,      lowerCamelCase  )					->		float:
				if mass < 0:
								raise ValueError("""The mass of a body cannot be negative"""  )
				return 0.5 * mass * abs(lowerCamelCase  ) * abs(lowerCamelCase  )


if __name__ == "__main__":
							import doctest

							doctest.testmod(verbose=True)






