



import argparse
from collections import defaultdict

import yaml


lowercase_	       =			'''docs/source/en/_toctree.yml'''






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Dict	)  ->						Dict:
					__lowerCAmelCase	   =defaultdict(__lowerCamelCase	)
					__lowerCAmelCase	   =[]
					__lowerCAmelCase	   =[]
					for doc in doc_list:
										if "local" in doc:
															counts[doc["local"]] += 1

										if doc["title"].lower() == "overview":
															overview_doc.append({"""local""": doc["""local"""], """title""": doc["""title"""]}	)
										else:
															new_doc_list.append(__lowerCamelCase	)

					__lowerCAmelCase	   =new_doc_list
					__lowerCAmelCase	   =[key for key, value in counts.items() if value > 1]

					__lowerCAmelCase	   =[]
					for duplicate_key in duplicates:
										__lowerCAmelCase	   =list({doc["""title"""] for doc in doc_list if doc["""local"""] == duplicate_key}	)
										if len(__lowerCamelCase	) > 1:
															raise ValueError(
															    f"""{duplicate_key} is present several times in the documentation table of content at """
															    """`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the """
															    """others."""	)
										# Only add this once
										new_doc.append({"""local""": duplicate_key, """title""": titles[0]}	)

					# Add none duplicate-keys
					new_doc.extend([doc for doc in doc_list if """local""" not in counts or counts[doc["""local"""]] == 1]	)
					__lowerCAmelCase	   =sorted(__lowerCamelCase				,   key=lambda __lowerCamelCase	: s["title"].lower()	)

					# "overview" gets special treatment and is always first
					if len(__lowerCamelCase	) > 1:
										raise ValueError("""{doc_list} has two 'overview' docs which is not allowed."""	)

					overview_doc.extend(__lowerCamelCase	)

					# Sort
					return overview_doc






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Dict=False	)  ->						Union[str, Any]:
					with open(__lowerCamelCase				,   encoding="""utf-8"""	) as f:
										__lowerCAmelCase	   =yaml.safe_load(f.read()	)

					# Get to the API doc
					__lowerCAmelCase	   =0
					while content[api_idx]["title"] != "API":
										api_idx += 1
					__lowerCAmelCase	   =content[api_idx]["""sections"""]

					# Then to the model doc
					__lowerCAmelCase	   =0
					while api_doc[scheduler_idx]["title"] != "Schedulers":
										scheduler_idx += 1

					__lowerCAmelCase	   =api_doc[scheduler_idx]["""sections"""]
					__lowerCAmelCase	   =clean_doc_toc(__lowerCamelCase	)

					__lowerCAmelCase	   =False
					if new_scheduler_doc != scheduler_doc:
										__lowerCAmelCase	   =True
										if overwrite:
															__lowerCAmelCase	   =new_scheduler_doc

					if diff:
										if overwrite:
															__lowerCAmelCase	   =api_doc
															with open(__lowerCamelCase				,   """w"""				,   encoding="""utf-8"""	) as f:
																				f.write(yaml.dump(__lowerCamelCase				,   allow_unicode=__lowerCamelCase	)	)
										else:
															raise ValueError(
															    """The model doc part of the table of content is not properly sorted, run `make style` to fix this."""	)






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Tuple=False	)  ->						int:
					with open(__lowerCamelCase				,   encoding="""utf-8"""	) as f:
										__lowerCAmelCase	   =yaml.safe_load(f.read()	)

					# Get to the API doc
					__lowerCAmelCase	   =0
					while content[api_idx]["title"] != "API":
										api_idx += 1
					__lowerCAmelCase	   =content[api_idx]["""sections"""]

					# Then to the model doc
					__lowerCAmelCase	   =0
					while api_doc[pipeline_idx]["title"] != "Pipelines":
										pipeline_idx += 1

					__lowerCAmelCase	   =False
					__lowerCAmelCase	   =api_doc[pipeline_idx]["""sections"""]
					__lowerCAmelCase	   =[]

					# sort sub pipeline docs
					for pipeline_doc in pipeline_docs:
										if "section" in pipeline_doc:
															__lowerCAmelCase	   =pipeline_doc["""section"""]
															__lowerCAmelCase	   =clean_doc_toc(__lowerCamelCase	)
															if overwrite:
																				__lowerCAmelCase	   =new_sub_pipeline_doc
										new_pipeline_docs.append(__lowerCamelCase	)

					# sort overall pipeline doc
					__lowerCAmelCase	   =clean_doc_toc(__lowerCamelCase	)

					if new_pipeline_docs != pipeline_docs:
										__lowerCAmelCase	   =True
										if overwrite:
															__lowerCAmelCase	   =new_pipeline_docs

					if diff:
										if overwrite:
															__lowerCAmelCase	   =api_doc
															with open(__lowerCamelCase				,   """w"""				,   encoding="""utf-8"""	) as f:
																				f.write(yaml.dump(__lowerCamelCase				,   allow_unicode=__lowerCamelCase	)	)
										else:
															raise ValueError(
															    """The model doc part of the table of content is not properly sorted, run `make style` to fix this."""	)


if __name__ == "__main__":
				lowercase_	       =			argparse.ArgumentParser()
				parser.add_argument('''--fix_and_overwrite''', action='''store_true''', help='''Whether to fix inconsistencies.''')
				lowercase_	       =			parser.parse_args()

				check_scheduler_doc(args.fix_and_overwrite)
				check_pipeline_doc(args.fix_and_overwrite)






from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame






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


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




