import pandas as pd
from openpyxl import load_workbook, Workbook
from openpyxl.worksheet.worksheet import Worksheet
import requests
import re
import time
import random
from playwright.sync_api import sync_playwright, Browser, Page
from playwright.async_api import async_playwright
import asyncio
from aioconsole import ainput
from collections import defaultdict
from datetime import datetime, timedelta

class Product_Scraper:
    domain: str
    page: Page

    def __init__(self, domain):
        print("Setting up browser automation")
        self.domain = domain
    
    @staticmethod
    def parse_cost(cost_text):
        if not cost_text:
            return None
        cost_clean = re.sub(r'[^\d,]', '', cost_text)
        try:
            return float(cost_clean) / 100
        except ValueError:
            return None
    @classmethod
    def parse_cost_from_pennies(cls, cost_text):
        if not cost_text:
            return None
        cost_clean = cls.parse_cost(cost_text = cost_text)
        if cost_clean is not None:
            cost_clean = cost_clean / 100
        return cost_clean
    
    @classmethod
    def parse_cost_chaoscards(cls, cost_text):
        return cls.parse_cost(cost_text = cost_text)
    @classmethod
    def parse_cost_cardmarket(cls, cost_text):
        """Convert '141,30 €' format to float in EUR"""
        if not cost_text:
            return None
        cost_clean = re.sub(r'[^\d,]', '', cost_text)
        cost_clean = cost_clean.replace(',', '.')
        try:
            return float(cost_clean)
        except ValueError:
            return None
    @classmethod
    def parse_cost_gameslore(cls, cost_text):
        return cls.parse_cost(cost_text = cost_text)
    @classmethod
    def parse_cost_magicmadhouse(cls, cost_text):
        return cls.parse_cost(cost_text = cost_text)
    @classmethod
    def parse_cost_newrealitiesgaming(cls, cost_text):
        return cls.parse_cost(cost_text = cost_text)
    
    async def scrape_cost_and_active_playwright(self, browser: Browser, url, page_load_element_selector, cost_selector, active_selector, invalid_active_statuses):
        print(f"  Loading page...")
        self.page = await browser.new_page()
        await self.page.goto(url = url)
        await asyncio.sleep(random.uniform(20, 25))
        cost = None
        active = None
        try:
            element = self.page.locator(selector = page_load_element_selector)
            page_title = await self.page.title()
            print(f"  Page title: {page_title}")
            
            element = self.page.locator(selector = cost_selector)
            text = await element.text_content()
            print(f"    Text: '{text}'")
            cost = text
            
            active = None
            if active_selector is None:
                active = (cost is not None)
            else:
                try:
                    elements = await self.page.query_selector_all(selector = active_selector)
                    print(f'# active elements: {len(elements)}')
                    if len(elements) == 0:
                        active = True
                    else:
                        text = await elements[0].text_content()
                        text = text.strip()
                        print(f"    Text: '{text}'")
                        active = (invalid_active_statuses is None or text not in invalid_active_statuses)
                except Exception as e:
                    print(f"  Selector failed: {e}")
            
            if cost is None or active is None:
                print(f"  ✗ No cost found")
                # await ainput("Press Enter to continue to next URL...")
            print(f"Cost: {cost}, Active: {active}")
            
        except Exception as e:
            print(f"  Error: {e}")
            # await ainput("Press Enter to continue to next URL...")
            return None, None
        finally:
            await self.page.close()
            return cost, active

    async def scrape_cost_and_active_playwright_cardmarket(self, browser, url, eur_to_gbp_rate):
        page_load_element_selector = "body > main.container > div.page-title-container"
        cost_selector = '#table > div:nth-child(1) > div.table-body > .row.article-row.g-0:nth-child(1) > div.col-offer > div.price-container > div > div:nth-child(1) > span:nth-child(1)'
        cost_text, active = await self.scrape_cost_and_active_playwright(
              browser = browser
            , url = url
            , page_load_element_selector = page_load_element_selector
            , cost_selector = cost_selector
            , active_selector = None
            , invalid_active_statuses = []
        )
        cost = Product_Scraper.parse_cost_cardmarket(cost_text = cost_text)
        if cost is not None:
            item_shipping_cost_in = 0
            if cost < 10:
                item_shipping_cost_in = 2
            elif cost < 100:
                item_shipping_cost_in = 8
            else:
                item_shipping_cost_in = 20
            cost = cost * eur_to_gbp_rate + item_shipping_cost_in
        active = (cost is not None)
        return cost, active

    async def scrape_cost_and_active_playwright_chaoscards(self, browser, url):
        cost_selector = '.price_inc > span:nth-child(2)'
        active_selector = '.product__right > form > ul.prod_det_fields.left.product-section.product-section--stock > li.prod_det_stock > div:nth-child(1) > div:nth-child(2)'
        cost_text, active = await self.scrape_cost_and_active_playwright(
              browser = browser
            , url = url
            , page_load_element_selector = cost_selector
            , cost_selector = cost_selector
            , active_selector = active_selector
            , invalid_active_statuses = ["Out of stock", "Coming soon"]
        )
        cost = Product_Scraper.parse_cost_chaoscards(cost_text = cost_text)
        return cost, active

    async def scrape_cost_and_active_playwright_gameslore(self, browser, url):
        cost_selector = 'div.columns > div.column.main > div.product-info-main > div.product-info-price > div.price-box > span.special-price > span.price-container > span.price-wrapper > span.price'
        active_selector = '.stock > span:nth-child(1)'
        cost_text, active = await self.scrape_cost_and_active_playwright(
              browser = browser
            , url = url
            , page_load_element_selector = cost_selector
            , cost_selector = cost_selector
            , active_selector = active_selector
            , invalid_active_statuses = ["OUT OF STOCK"]
        )
        cost = Product_Scraper.parse_cost_gameslore(cost_text = cost_text)
        return cost, active

    async def scrape_cost_and_active_playwright_magicmadhouse(self, browser, url):
        page_load_element_selector = '.productView-title'
        cost_selector = 'div.body > div.container > div > div.productView > section.productView-details > div.productView-options > form > div.productView-options-selections > div.productView-product > div.productView-info > div.price-rating > div.productView-price > div.price-section.actual-price > span.price'
        active_selector = '.alertBox.alertBox--error'
        cost_text, active = await self.scrape_cost_and_active_playwright(
              browser = browser
            , url = url
            , page_load_element_selector = page_load_element_selector
            , cost_selector = cost_selector
            , active_selector = active_selector
            , invalid_active_statuses = []
        )
        cost = Product_Scraper.parse_cost_magicmadhouse(cost_text = cost_text)
        return cost, active

    async def scrape_cost_and_active_playwright_newrealitiesgaming(self, browser, url):
        button_selector = 'div.display-desktop.add-to-cart-button__wrapper div.w-wrapper form button'
        page_load_element_selector = button_selector
        cost_selector = f'{button_selector} span:nth-child(2)'
        active_selector = f'{button_selector} span:nth-child(1)'
        cost_text, active = await self.scrape_cost_and_active_playwright(
              browser = browser
            , url = url
            , page_load_element_selector = page_load_element_selector
            , cost_selector = cost_selector
            , active_selector = active_selector
            , invalid_active_statuses = ['Out of stock']
        )
        cost = Product_Scraper.parse_cost_magicmadhouse(cost_text = cost_text)
        return cost, active
        
    async def scrape_prices_and_quantities_playwright_cardmarket(self, browser: Browser, url, eur_to_gbp_rate):
        offer_container_selector = '#table > div:nth-child(1) > div.table-body > .row.article-row.g-0:nth-child(1) > div.col-offer'
        price_selector = 'div.price-container > div > div:nth-child(1) > span:nth-child(1)'
        quantity_selector = 'div.amount-container > span:nth-child(1)'
        
        print(f"  Loading page...")
        self.page = await browser.new_page()
        await self.page.goto(url = url)
        await asyncio.sleep(random.uniform(20, 25))
        
        try:
            page_title = await self.page.title()
            print(f"  Page title: {page_title}")
            
            price_quantity_pairs = []
            try:
                offer_containers = await self.page.query_selector_all(offer_container_selector)
                print(f"  Offer container selector: Found {len(offer_containers)} elements")
                for offer_container in offer_containers:
                    price_element = await offer_container.query_selector(price_selector)
                    price_text = await price_element.text_content()
                    if '€' in price_text and re.search(r'\d', price_text):
                        print(f"  ✓ Found price: {price_text}")
                    else:
                        price_text = None

                    quantity_element = await offer_container.query_selector(quantity_selector)
                    quantity_text = await quantity_element.text_content()
                    
                    if price_text is None or quantity_text is None:
                        continue
                    price_quantity_pairs.append({
                        'price': Product_Scraper.parse_cost_cardmarket(cost_text = price_text) * eur_to_gbp_rate
                        , 'quantity': Product_Scraper.parse_cost_cardmarket(cost_text = quantity_text)
                    })
            except Exception as e:
                print(f"  Price selector failed: {e}")
                # await ainput("Press enter to continue to next URL...")
                return []
        finally:
            await self.page.close()
            return price_quantity_pairs


class TCG_Sole_Trader_Workbook_Container:
    NAME_COLUMN_ACTIVE: str = 'Active'
    NAME_COLUMN_INDEX_ROW: str = 'Index Row'
    NAME_COLUMN_LINK: str = 'Link'
    NAME_COLUMN_PRODUCT_ID: str = 'Product Id'
    NAME_COLUMN_PRODUCT_IS_BOOSTER: str = 'Product Is Booster'
    NAME_COLUMN_PRODUCT_IS_BOOSTER_BOX: str = 'Product Is Booster Box'
    NAME_COLUMN_PRODUCT_IS_PRECON: str = 'Product Is Precon'
    NAME_COLUMN_SOURCE_NAME: str = 'Source Name'
    NAME_COLUMN_UNIT_COST: str = 'Cost'
    NAME_COLUMN_UNIT_PRICE: str = 'Price'
    PRODUCT_WORKSHEET_NAME = 'Product'
    SOURCING_WORKSHEET_NAME = 'Sourcing'
    WORKBOOK_NAME = 'TCG Sole Trader Copy.xlsx'

    index_column_active_sourcing: int
    index_column_is_booster_product: int
    index_column_is_booster_box_product: int
    index_column_is_precon_product: int
    index_column_link_sourcing: int
    index_column_name_sourcing: int
    index_column_product_id_product: int
    index_column_product_id_sourcing: int
    index_column_unit_cost_sourcing: int
    index_column_unit_price_sourcing: int
    index_row_header_product: int
    index_row_header_sourcing: int
    product_sheet: Worksheet
    sourcing_sheet: Worksheet
    workbook: Workbook

    def __init__(self):
        print("Loading workbook...")
        self.workbook = load_workbook(self.WORKBOOK_NAME)
        
        if self.SOURCING_WORKSHEET_NAME not in self.workbook.sheetnames:
            print(f"Error: Sheet '{self.SOURCING_WORKSHEET_NAME}' not found")
            return
        if self.PRODUCT_WORKSHEET_NAME not in self.workbook.sheetnames:
            print(f"Error: Sheet '{self.PRODUCT_WORKSHEET_NAME}' not found")
            return
        
        self.sourcing_sheet = self.workbook[self.SOURCING_WORKSHEET_NAME]
        self.product_sheet = self.workbook[self.PRODUCT_WORKSHEET_NAME]
        
        sourcing_table_found = False
        for row in range(1, self.sourcing_sheet.max_row + 1):
            if self.sourcing_sheet.cell(row, 1).value == 'tbl_Sourcing' or 'Source Name' in str(self.sourcing_sheet.cell(row, 3).value):
                self.index_row_header_sourcing = row
                sourcing_table_found = True
                break
        
        if not sourcing_table_found or not self.index_row_header_sourcing:
            for row in range(1, min(20, self.sourcing_sheet.max_row + 1)):
                if 'Source Name' in str(self.sourcing_sheet.cell(row, 3).value):
                    self.index_row_header_sourcing = row
                    sourcing_table_found = True
                    break
        
        if not sourcing_table_found:
            print("Error: Could not find table 'tbl_Sourcing'")
            return
        
        product_table_found = False
        for row in range(1, self.product_sheet.max_row + 1):
            if self.product_sheet.cell(row, 1).value == 'tbl_Product' or 'Product Id' in str(self.product_sheet.cell(row, 1).value):
                self.index_row_header_product = row
                product_table_found = True
                break
        
        if not product_table_found:
            print("Error: Could not find table 'tbl_Product'")
            return
        
        for index_column in range(1, self.sourcing_sheet.max_column + 1):
            header = str(self.sourcing_sheet.cell(self.index_row_header_sourcing, index_column).value).strip()
            if 'Source Name' == header:
                self.index_column_name_sourcing = index_column
            elif 'Source Link' == header:
                self.index_column_link_sourcing = index_column
            elif 'Source Unit Cost' == header:
                self.index_column_unit_cost_sourcing = index_column
            elif 'Sale Price' == header:
                self.index_column_unit_price_sourcing = index_column
            elif 'Active' == header:
                self.index_column_active_sourcing = index_column
            elif 'Product Id' == header:
                self.index_column_product_id_sourcing = index_column
        
        for index_column in range(1, self.product_sheet.max_column + 1):
            header = str(self.product_sheet.cell(self.index_row_header_product, index_column).value).strip()
            if 'Is Booster Box' == header:
                self.index_column_is_booster_box_product = index_column
            elif 'Is Booster' == header:
                self.index_column_is_booster_product = index_column
            elif 'Is Precon' == header:
                self.index_column_is_precon_product = index_column
            elif 'Product Id' == header:
                self.index_column_product_id_product = index_column
        
        print(f"Sourcing max row: {self.sourcing_sheet.max_row}")
        print(f"Sourcing header row: {self.index_row_header_sourcing}")
        print(f"Sourcing header 1: {self.sourcing_sheet.cell(self.index_row_header_sourcing, 1).value}")
        print(f"Sourcing Columns - Name: {self.index_column_name_sourcing}, Link: {self.index_column_link_sourcing}, Unit Cost: {self.index_column_unit_cost_sourcing}, Sale price: {self.index_column_unit_price_sourcing}, Active: {self.index_column_active_sourcing}, Product Id: {self.index_column_product_id_sourcing}")
        print(f"Product max row: {self.product_sheet.max_row}")
        print(f"Product header row: {self.index_row_header_product}")
        print(f"Sourcing header 1: {self.product_sheet.cell(self.index_row_header_product, 1).value}")
        print(f"Product Columns - Id: {self.index_column_product_id_product}, Is Booster: {self.index_column_is_booster_product}, Is Booster Box: {self.index_column_is_booster_box_product}, Is Precon: {self.index_column_is_precon_product}")

        if not all([
              self.index_column_name_sourcing
            , self.index_column_link_sourcing
            , self.index_column_unit_cost_sourcing
            , self.index_column_unit_price_sourcing
            , self.index_column_product_id_sourcing
            , self.index_column_active_sourcing
            , self.index_column_product_id_product
            , self.index_column_is_booster_product
            , self.index_column_is_booster_box_product
            , self.index_column_is_precon_product
        ]):
            print("Error: Could not find required columns")
            return

    @classmethod
    def create_product_source_df(cls):
        return pd.DataFrame(columns = [
              cls.NAME_COLUMN_INDEX_ROW
            , cls.NAME_COLUMN_PRODUCT_ID
            , cls.NAME_COLUMN_SOURCE_NAME
            , cls.NAME_COLUMN_LINK
            , cls.NAME_COLUMN_PRODUCT_IS_BOOSTER
            , cls.NAME_COLUMN_UNIT_COST
            , cls.NAME_COLUMN_UNIT_PRICE
            , cls.NAME_COLUMN_ACTIVE
        ])
    
    def get_sourcing_entries(self):
        product_sources = self.create_product_source_df()
        try:
            for index_row in range(self.index_row_header_sourcing + 1, self.sourcing_sheet.max_row + 1):
                source_name = self.sourcing_sheet.cell(index_row, self.index_column_name_sourcing).value
                source_link = self.sourcing_sheet.cell(index_row, self.index_column_link_sourcing).value
                source_product_id = self.sourcing_sheet.cell(index_row, self.index_column_product_id_sourcing).value
                if not source_name or not source_link:
                    continue
                print(f"found source: {source_name} - product: {source_product_id} - link: {source_link}")
                product_is_booster = False
                for product_row in range(self.index_row_header_product + 1, self.product_sheet.max_row + 1):
                    product_id = self.product_sheet.cell(product_row, self.index_column_product_id_product).value
                    if product_id == source_product_id:
                        product_is_booster_text = str(self.product_sheet.cell(product_row, self.index_column_is_booster_product).value).upper()
                        product_is_booster = (product_is_booster_text == "TRUE")
                        break
                print(f"product is booster: {product_is_booster}")

                product_sources.loc[len(product_sources)] = [
                    index_row
                    , source_product_id
                    , source_name
                    , source_link
                    , product_is_booster
                    , None # cost
                    , None # price
                    , None # active
                ]
        except Exception as e:
            print(f"Error: {e}")
        product_sources.sort_values(self.NAME_COLUMN_SOURCE_NAME)
        return product_sources
    
    def clear_row_sourcing_sheet(self, index_row):
        self.sourcing_sheet.cell(index_row, self.index_column_unit_cost_sourcing).value = None
        self.sourcing_sheet.cell(index_row, self.index_column_active_sourcing).value = "FALSE"
    
    def update_row_sourcing_sheet(self, index_row, unit_cost = None, unit_price = None, active = None):
        if unit_cost is not None:
            self.sourcing_sheet.cell(index_row, self.index_column_unit_cost_sourcing).value = unit_cost
        if unit_price is not None:
            self.sourcing_sheet.cell(index_row, self.index_column_unit_price_sourcing).value = unit_price
        if active is not None:
            self.sourcing_sheet.cell(index_row, self.index_column_active_sourcing).value = "TRUE" if active else "FALSE"
    
    def save_workbook(self):
        print(f"\n{'='*60}")
        print(f"Saving workbook...")
        self.workbook.save(self.WORKBOOK_NAME)
    

class Cost_Fetcher:
    ACCESSED_LAST_ON_FLAG: str = 'Accessed Last On'
    ACTIVE_FLAG: str = 'Active'
    COST_FLAG: str = 'Cost'
    DATA_FLAG: str = 'Data'
    ERROR_FLAG: str = 'Error'
    INDEX_DOMAIN_FLAG: str = 'Index Domain'
    INDEX_ROW_FLAG: str = 'Index Row'
    NAME_DOMAIN_CARD_MARKET: str = 'Card Market'
    NAME_DOMAIN_CHAOS_CARDS: str = 'Chaos Cards'
    NAME_DOMAIN_GAMES_LORE: str = 'Games Lore'
    NAME_DOMAIN_MAGIC_MADHOUSE: str = 'Magic Madhouse'
    NAME_DOMAIN_NEW_REALITIES_GAMING: str = 'New Realities Gaming'
    NAME_FLAG: str = 'Name'
    PRICE_FLAG: str = 'Price'
    SUCCESS_FLAG: str = 'Success'
    URL_FLAG: str = 'Url'

    domain_names: list[str]
    eur_to_gbp_rate: float
    product_scrapers: list[Product_Scraper]
    product_sources: pd.DataFrame
    workbook_container: TCG_Sole_Trader_Workbook_Container

    def __init__(self):
        self.domain_names = [
              self.NAME_DOMAIN_CARD_MARKET
            , self.NAME_DOMAIN_CHAOS_CARDS
            , self.NAME_DOMAIN_GAMES_LORE
            , self.NAME_DOMAIN_MAGIC_MADHOUSE
            , self.NAME_DOMAIN_NEW_REALITIES_GAMING
        ]
        self.domain_details = {
              self.NAME_DOMAIN_CARD_MARKET: {
                  self.NAME_FLAG: self.NAME_DOMAIN_CARD_MARKET
                , self.INDEX_DOMAIN_FLAG: self.get_index_domain_from_name(self.NAME_DOMAIN_CARD_MARKET)
                , self.ACCESSED_LAST_ON_FLAG: 0
            }
            , self.NAME_DOMAIN_CHAOS_CARDS: {
                  self.NAME_FLAG: self.NAME_DOMAIN_CHAOS_CARDS
                , self.INDEX_DOMAIN_FLAG: self.get_index_domain_from_name(self.NAME_DOMAIN_CHAOS_CARDS)
                , self.ACCESSED_LAST_ON_FLAG: 0
            }
            , self.NAME_DOMAIN_GAMES_LORE: {
                  self.NAME_FLAG: self.NAME_DOMAIN_GAMES_LORE
                , self.INDEX_DOMAIN_FLAG: self.get_index_domain_from_name(self.NAME_DOMAIN_GAMES_LORE)
                , self.ACCESSED_LAST_ON_FLAG: 0
            }
            , self.NAME_DOMAIN_MAGIC_MADHOUSE: {
                  self.NAME_FLAG: self.NAME_DOMAIN_MAGIC_MADHOUSE
                , self.INDEX_DOMAIN_FLAG: self.get_index_domain_from_name(self.NAME_DOMAIN_MAGIC_MADHOUSE)
                , self.ACCESSED_LAST_ON_FLAG: 0
            }
            , self.NAME_DOMAIN_NEW_REALITIES_GAMING: {
                  self.NAME_FLAG: self.NAME_DOMAIN_NEW_REALITIES_GAMING
                , self.INDEX_DOMAIN_FLAG: self.get_index_domain_from_name(self.NAME_DOMAIN_NEW_REALITIES_GAMING)
                , self.ACCESSED_LAST_ON_FLAG: 0
            }
        }
        product_scrapers = []
        for index_domain in range(len(self.domain_names)):
            domain = self.domain_names[index_domain]
            product_scraper = Product_Scraper(domain)
            product_scrapers.append(product_scraper)
        self.product_scrapers = product_scrapers
        self.workbook_container = TCG_Sole_Trader_Workbook_Container()
        self.get_eur_to_gbp_rate()
    
    def get_index_domain_from_name(self, domain_name):
        for index_domain in range(len(self.domain_names)):
            if (self.domain_names[index_domain] == domain_name):
                return index_domain
        raise ValueError(f'Domain does not exist: {domain_name}')
    
    def get_eur_to_gbp_rate(self):
        try:
            response = requests.get('https://api.exchangerate-api.com/v4/latest/EUR', timeout=10)
            data = response.json()
            self.eur_to_gbp_rate = data['rates']['GBP']
        except Exception as e:
            print(f"Error fetching exchange rate: {e}")
            print("Using fallback rate: 0.85")
            self.eur_to_gbp_rate = 0.85
    
    async def fetch_all(self):
        try:
            processed_count = 0
            updated_count = 0
            self.product_sources = self.workbook_container.get_sourcing_entries()
            
            # Group product sources by domain
            domain_groups = {domain: [] for domain in self.domain_names}
            for index_product_source, product_source in self.product_sources.iterrows():
                source_name = product_source[TCG_Sole_Trader_Workbook_Container.NAME_COLUMN_SOURCE_NAME]
                if source_name in domain_groups:
                    domain_groups[source_name].append(product_source)
            
            # Create one browser per domain and process all URLs for that domain
            async with async_playwright() as p:
                # Create one browser per domain that has URLs
                domain_tasks = []
                for domain_name in self.domain_names:
                    if domain_groups[domain_name]:  # Only if there are URLs for this domain
                        browser = await p.chromium.launch(headless=False)
                        task = self.process_domain_urls(browser, domain_name, domain_groups[domain_name])
                        domain_tasks.append(task)
                
                # Process all domains in parallel
                all_sourced_products = await asyncio.gather(*domain_tasks)
                
                # Flatten results from all domains
                sourced_products = []
                for domain_results in all_sourced_products:
                    sourced_products.extend(domain_results)
            
            # Process results
            for sourced_product in sourced_products:
                index_row = sourced_product[self.INDEX_ROW_FLAG]
                unit_cost = sourced_product[self.COST_FLAG]
                unit_price = sourced_product[self.PRICE_FLAG]
                active = sourced_product[self.ACTIVE_FLAG]
                processed_count += 1
                if not active:
                    continue
                updated_count += 1
                self.workbook_container.update_row_sourcing_sheet(
                      index_row = index_row
                    , unit_cost = unit_cost
                    , unit_price = unit_price
                    , active = active
                )
            self.workbook_container.save_workbook()
            print(f"\nComplete!")
            print(f"Processed: {processed_count} entries")
            print(f"Updated: {updated_count} costs")
        except Exception as e:
            print(f"Error: {e}")
    
    async def process_domain_urls(self, browser, domain_name, product_sources):
        """Process all URLs for a single domain sequentially with rate limiting"""
        results = []
        last_access_time = 0
        
        try:
            for product_source in product_sources:
                # Rate limiting: wait 60s between requests to same domain
                time_since_last = time.time() - last_access_time
                if time_since_last < 45:
                    wait_time = 45 - time_since_last + random.uniform(0, 5)  # 45-50s
                    print(f"  [{domain_name}] Waiting {wait_time:.1f}s before next request...")
                    await asyncio.sleep(wait_time)
                
                # Process the URL
                result = await self.fetch_single_with_browser(browser, domain_name, product_source)
                results.append(result)
                last_access_time = time.time()
                
        finally:
            await browser.close()
            
        return results
    
    async def fetch_single_with_browser(self, browser, domain_name, product_source):
        """Fetch a single URL using the provided browser"""
        index_row = product_source[TCG_Sole_Trader_Workbook_Container.NAME_COLUMN_INDEX_ROW]
        source_link = product_source[TCG_Sole_Trader_Workbook_Container.NAME_COLUMN_LINK]
        
        self.workbook_container.clear_row_sourcing_sheet(index_row = index_row)
        Cost_Fetcher.log_processing_new_row(
            index_row = index_row
            , source_link = source_link
        )
        
        index_domain = self.get_index_domain_from_name(domain_name)
        cost = None
        price = None
        active = None
        
        try:
            if domain_name == self.NAME_DOMAIN_CARD_MARKET:
                if product_source[TCG_Sole_Trader_Workbook_Container.NAME_COLUMN_PRODUCT_IS_BOOSTER]:
                    price_quantity_pairs = await self.product_scrapers[index_domain].scrape_prices_and_quantities_playwright_cardmarket(
                          browser = browser
                        , url = source_link
                        , eur_to_gbp_rate = self.eur_to_gbp_rate
                    )
                    price = self.get_sale_price_from_price_quantity_pairs(price_quantity_pairs = price_quantity_pairs)
                cost, active = await self.product_scrapers[index_domain].scrape_cost_and_active_playwright_cardmarket(
                      browser = browser
                    , url = source_link
                    , eur_to_gbp_rate = self.eur_to_gbp_rate
                )
            elif domain_name == self.NAME_DOMAIN_CHAOS_CARDS:
                cost, active = await self.product_scrapers[index_domain].scrape_cost_and_active_playwright_chaoscards(
                      browser = browser
                    , url = source_link
                )
            elif domain_name == self.NAME_DOMAIN_GAMES_LORE:
                cost, active = await self.product_scrapers[index_domain].scrape_cost_and_active_playwright_gameslore(
                      browser = browser
                    , url = source_link
                )
            elif domain_name == self.NAME_DOMAIN_MAGIC_MADHOUSE:
                cost, active = await self.product_scrapers[index_domain].scrape_cost_and_active_playwright_magicmadhouse(
                      browser = browser
                    , url = source_link
                )
            """ unverified
            elif domain_name == self.NAME_DOMAIN_NEW_REALITIES_GAMING:
                cost, active = await self.product_scrapers[index_domain].scrape_cost_and_active_playwright_newrealitiesgaming(
                      browser = browser
                    , url = source_link
                )
            """
            if ((cost is None and price is None) or active is None):
                print(f"  Error: Could not find cost on page")
                
        except Exception as e:
            print(f"  Error processing {source_link}: {e}")
        
        return self.make_result_data_json(
            index_row = index_row
            , cost = cost
            , price = price
            , active = active
        )
    
    @classmethod
    def make_result_data_json(cls, index_row, cost = None, price = None, active = None):
        return {
            cls.INDEX_ROW_FLAG: index_row
            , cls.COST_FLAG: cost
            , cls.PRICE_FLAG: price
            , cls.ACTIVE_FLAG: active
        }
    
    def get_sale_price_from_price_quantity_pairs(self, price_quantity_pairs):
        if not price_quantity_pairs: 
            return None
        
        max_quantity = 0
        price = None
        
        # First pass: look for quantity >= 8
        for price_quantity_pair in price_quantity_pairs:
            eur_price = price_quantity_pair['price']
            quantity = price_quantity_pair['quantity']
            print(f"  Found price: €{eur_price}")
            print(f"  Found quantity: {quantity}")
            max_quantity = max(max_quantity, quantity)
            
            if quantity >= 8 and eur_price:
                price = eur_price * self.eur_to_gbp_rate
                print(f"  Converted: €{eur_price:.2f} → £{price:.2f}")
                return price
        
        # Second pass: use max quantity if no quantity >= 8
        print("Offer with quantity >= 8 not found")
        for price_quantity_pair in price_quantity_pairs:
            eur_price = price_quantity_pair['price']
            quantity = price_quantity_pair['quantity']
            
            if (max_quantity <= 2 or quantity == max_quantity) and eur_price:
                price = eur_price * self.eur_to_gbp_rate
                print(f"  Converted: €{eur_price:.2f} → £{price:.2f}")
                return price
        
        return price
    
    @staticmethod
    def log_processing_new_row(index_row, source_link):
        print(f"\n{'='*60}")
        print(f"Processing row {index_row}: {source_link}")
        print(f"{'='*60}")

async def main():
    cost_fetcher = Cost_Fetcher()
    await cost_fetcher.fetch_all()

if __name__ == "__main__":
    asyncio.run(main())