




"""simple docstring"""

from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

__A       						=	{'UserAgent': UserAgent().random}



def      UpperCamelCase__   (						lowercase__     :   Dict      ):
		snake_case						:  str    	= script.contents[0]
		snake_case						:  Union[str, Any]    	= json.loads(data[data.find("{\"config\""      ) : -1]      )
		return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]
class 	lowerCamelCase__			:


			def __init__(   self ,       SCREAMING_SNAKE_CASE							):



					"""simple docstring"""







					snake_case						:  Optional[Any]    	= F'''https://www.instagram.com/{username}/'''
					snake_case						:  Optional[Any]    	= self.get_json()


			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					snake_case						:  Union[str, Any]    	= requests.get(self.url ,       headers=_SCREAMING_SNAKE_CASE							).text
					snake_case						:  Any    	= BeautifulSoup(_SCREAMING_SNAKE_CASE ,       "html.parser"							).find_all("script"							)
					try:
							return extract_user_profile(scripts[4]							)
					except (json.decoder.JSONDecodeError, KeyError):
							return extract_user_profile(scripts[3]							)


			def __repr__(   self							):



					"""simple docstring"""







					return F'''{self.__class__.__name__}(\'{self.username}\')'''


			def __str__(   self							):



					"""simple docstring"""







					return F'''{self.fullname} ({self.username}) is {self.biography}'''


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["username"]


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["full_name"]


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["biography"]


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["business_email"]


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["external_url"]


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["edge_followed_by"]["count"]


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["edge_follow"]["count"]


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["edge_owner_to_timeline_media"]["count"]


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["profile_pic_url_hd"]


			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["is_verified"]



			@property
			def 							lowerCamelCase_ (   self							):



					"""simple docstring"""







					return self.user_data["is_private"]







def      UpperCamelCase__   (						lowercase__     :   Dict = "github"      ):
		import os

		if os.environ.get("CI"      ):
				return  # test failing on GitHub Actions
		snake_case						:  Optional[Any]    	= InstagramUser(__snake_case      )
		assert instagram_user.user_data
		assert isinstance(instagram_user.user_data				,   __snake_case      )
		assert instagram_user.username == username
		if username != "github":
				return
		assert instagram_user.fullname == "GitHub"
		assert instagram_user.biography == "Built for developers."
		assert instagram_user.number_of_posts > 150
		assert instagram_user.number_of_followers > 12_0000
		assert instagram_user.number_of_followings > 15
		assert instagram_user.email == "support@github.com"
		assert instagram_user.website == "https://github.com/readme"
		assert instagram_user.profile_picture_url.startswith("https://instagram."      )
		assert instagram_user.is_verified is True
		assert instagram_user.is_private is False


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							__A       						=	InstagramUser("github")
							print(instagram_user)
							print(f'{instagram_user.number_of_posts = }')
							print(f'{instagram_user.number_of_followers = }')
							print(f'{instagram_user.number_of_followings = }')
							print(f'{instagram_user.email = }')
							print(f'{instagram_user.website = }')
							print(f'{instagram_user.profile_picture_url = }')
							print(f'{instagram_user.is_verified = }')
							print(f'{instagram_user.is_private = }')






"""simple docstring"""






from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame


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


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