


'''simple docstring'''



from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame







def 			_UpperCamelCase					(						UpperCamelCase__ = "laptop"    ):
			UpperCAmelCase__     :    Tuple         =   f'''https://www.amazon.in/laptop/s?k={product}'''
			UpperCAmelCase__     :    Union[str, Any]         =   {
			    """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__     :    List[str]         =   BeautifulSoup(requests.get(UpperCamelCase__       ,					headers=UpperCamelCase__    ).text    )
			# Initialize a Pandas dataframe with the column titles
			UpperCAmelCase__     :    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:
									UpperCAmelCase__     :    List[str]         =   item.ha.text
									UpperCAmelCase__     :    List[str]         =   """https://www.amazon.in/""" + item.ha.a["""href"""]
									UpperCAmelCase__     :    List[str]         =   item.find("""span"""       ,					attrs={"""class""": """a-offscreen"""}    ).text
									try:
												UpperCAmelCase__     :    Union[str, Any]         =   item.find("""span"""       ,					attrs={"""class""": """a-icon-alt"""}    ).text
									except AttributeError:
												UpperCAmelCase__     :    Dict         =   """Not available"""
									try:
												UpperCAmelCase__     :    Tuple         =   (
												    """₹"""
												    + item.find(
												        """span"""       ,					attrs={"""class""": """a-price a-text-price"""}    ).text.split("""₹"""    )[1]
												)
									except AttributeError:
												UpperCAmelCase__     :    Optional[Any]         =   """"""
									try:
												UpperCAmelCase__     :    Optional[int]         =   float(
												    (
												        (
												            float(product_mrp.strip("""₹"""    ).replace(""","""       ,					""""""    )    )
												            - float(product_price.strip("""₹"""    ).replace(""","""       ,					""""""    )    )
												        )
												        / float(product_mrp.strip("""₹"""    ).replace(""","""       ,					""""""    )    )
												    )
												    * 1_0_0    )
									except ValueError:
												UpperCAmelCase__     :    Optional[int]         =   float("""nan"""    )
						except AttributeError:
									pass
						UpperCAmelCase__     :    Union[str, Any]         =   [
						    product_title,
						    product_link,
						    product_price,
						    product_rating,
						    product_mrp,
						    discount,
						]
			UpperCAmelCase__     :    Tuple         =   """ """
			UpperCAmelCase__     :    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""")







def 						_a    (      a :int = 100 )							->			int:
 a		  =      n * (n + 1) * (2 * n + 1) / 6
 a		  =      (n * (n + 1) / 2) ** 2
 return int(square_of_sum - sum_of_squares )


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


