def Talabat_Json_extract(url):
    import json
    import requests
    import json
    from bs4 import BeautifulSoup
    import pandas as pd
    from urllib.parse import urlparse
    from io import BytesIO

    def extract_choices(item_id):
        choice_url = f"https://www.talabat.com/nextMenuApi/v2/branches/{restaurant_id}/menu/{item_id}/choices"
        response = requests.get(choice_url, headers=headers)
        if response.status_code == 200:
            soup = BeautifulSoup(response.text, 'html.parser')
            choice_data = json.loads(soup.string.strip())
            return choice_data
        else:
            print("Failed to retrieve choices for item ID:", item_id)
            return None
        

    # url = input("enter retro URL : ")
    parsed_url = urlparse(url)
    path_segments = parsed_url.path.split('/')

    restaurant_id = path_segments[-2]
    restaurant_name = path_segments[-1]


    headers = {
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'
    }
    response = requests.get(url, headers=headers)

    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        script_tag = soup.find('script', id='__NEXT_DATA__')
        
        if script_tag:
            json_content = json.loads(script_tag.string.strip())
            
            menu_data = json_content['props']['pageProps']['initialMenuState']['menuData']['items']
            
            items = []
            for item in menu_data:
                item_id = item['id']
                name = item['name']
                description = item['description']
                price = item['price']
                original_image = item['originalImage']
                original_section = item['originalSection']
                has_choices = item['hasChoices']
                
                item_info = {
                    'category': original_section,
                    'category_postion': 1,
                    'item_name': name,
                    'item_position': 1,
                    'original_image': original_image,
                    'description': description,
                    'price': price,
                    'item_id': item_id,
                }
                
                if has_choices:
                    option_groups_info = []
                    choice_data = extract_choices(item_id,restaurant_id)
                    if choice_data:
                        choice_for_item = choice_data["result"]['choiceForItem'][0]  # Accessing the first element of the list
                        choice_sections = choice_for_item['choiceSections']
                        for option_group in choice_sections:
                            option_group_info = {
                                'option_group_name': option_group['nm'],
                                'min_quantity': option_group['mnq'],
                                'max_quantity': option_group['mxq'],
                                'option_group_names': []
                            }
                            if 'ich' in option_group:
                                option_group_names = option_group['ich']
                                for option_group_name in option_group_names:
                                    option_group_name_info = {
                                        'option_name': option_group_name['nm'],
                                        'option_price': option_group_name['pr']
                                    }
                                    option_group_info['option_group_names'].append(option_group_name_info)
                            option_groups_info.append(option_group_info)
                        item_info['option_groups'] = option_groups_info
                items.append(item_info)
            # with open(f"{restaurant_name}.json", "w") as json_file:
            #     json.dump(items, json_file, indent=4)
            json_content = json.dumps(items, indent=4)
            
            # Create BytesIO object to hold the JSON content
            output = BytesIO()
            output.write(json_content.encode('utf-8'))
            output.seek(0) 

            return  restaurant_name,output
            
        
        
            
        else:
            print("Script tag with id '__NEXT_DATA__' not found.")
    else:
        print("Failed to retrieve the webpage. Status code:", response.status_code)
    return True