"""
Base scraper class with common functionality
"""

import logging
import re
from abc import ABC, abstractmethod
from dataclasses import dataclass, field
from typing import List, Optional
from urllib.parse import urlparse, urlunparse, parse_qs, urlencode

logger = logging.getLogger(__name__)


def clean_product_name(name: str) -> str:
    """Clean garbage from product names (SVG classes, CSS, etc.)"""
    if not name:
        return name

    import re

    # Remove SVG/CSS class garbage (pikachu_svg__st1{fill:#7c888f}.review-full-...)
    name = re.sub(r'[\w-]*_svg__[\w\s{}:#.;-]+', '', name, flags=re.IGNORECASE)
    name = re.sub(r'\.review-full-[\w\s{}:#.;-]+', '', name, flags=re.IGNORECASE)
    name = re.sub(r'\{[^}]*\}', '', name)  # Remove any remaining {css} blocks
    name = re.sub(r'\d+\s*Reviews?$', '', name, flags=re.IGNORECASE)  # Remove trailing "X Reviews"

    # Clean up multiple spaces
    name = re.sub(r'\s+', ' ', name)

    return name.strip()


def normalize_url(url: str) -> str:
    """
    Normalize a URL to prevent duplicates from minor variations.
    - Removes tracking/session query parameters
    - Removes trailing slashes
    - Lowercases the domain
    - Keeps only essential path components
    """
    if not url:
        return url

    try:
        parsed = urlparse(url)

        # Lowercase the domain
        netloc = parsed.netloc.lower()

        # Remove trailing slash from path
        path = parsed.path.rstrip('/')

        # Filter out common tracking/non-essential query params
        query_params = parse_qs(parsed.query)
        exclude_params = {
            'ref', 'utm_source', 'utm_medium', 'utm_campaign', 'utm_content',
            'utm_term', 'gclid', 'fbclid', 'msclkid', 'dclid', 'zanpid',
            'src', 'srsltid', 'skuId', 'preselect', 'intl', 'lnk',
            'Nao', 'start', 'page', 'sort', 'sortBy', 'facets',
        }
        filtered_params = {
            k: v for k, v in query_params.items()
            if k.lower() not in {p.lower() for p in exclude_params}
        }

        # Rebuild query string (sorted for consistency)
        query = urlencode(sorted(filtered_params.items()), doseq=True) if filtered_params else ''

        # Rebuild URL without fragment
        normalized = urlunparse((parsed.scheme, netloc, path, '', query, ''))
        return normalized

    except Exception as e:
        logger.debug(f"Error normalizing URL {url}: {e}")
        return url


@dataclass
class Product:
    """Represents a product listing"""
    name: str
    url: str
    price: Optional[str]
    in_stock: bool
    image_url: Optional[str] = None
    site: str = ""
    product_id: Optional[str] = None  # Unique identifier for tracking
    _normalized_url: str = field(default="", repr=False, compare=False)

    def __post_init__(self):
        self._normalized_url = normalize_url(self.url)
        # Clean the name of any SVG/CSS garbage
        if self.name:
            self.name = clean_product_name(self.name)

    @property
    def normalized_url(self) -> str:
        """Get the normalized URL for deduplication"""
        if not self._normalized_url:
            self._normalized_url = normalize_url(self.url)
        return self._normalized_url

    def __hash__(self):
        # Use normalized URL for hashing to prevent duplicates
        return hash(self.normalized_url)

    def __eq__(self, other):
        if isinstance(other, Product):
            # Compare by normalized URL OR by product_id if both have one
            if self.product_id and other.product_id and self.site == other.site:
                return self.product_id == other.product_id
            return self.normalized_url == other.normalized_url
        return False


class BaseScraper(ABC):
    """Base class for site-specific scrapers"""

    site_name: str = "unknown"

    # Terms that indicate a Pokemon product
    POKEMON_TERMS = [
        "pokemon", "pokémon", "poke", "tcg",
        "pikachu", "charizard", "mewtwo", "eevee", "snorlax",
        "booster", "elite trainer", "etb",
        "scarlet", "violet", "prismatic", "evolutions",
    ]

    # Terms that indicate NOT a Pokemon product (false positives from search)
    EXCLUDE_TERMS = [
        "ice cube", "oven", "barbie", "hot wheels", "lego",
        "furniture", "appliance", "kitchen", "bedding",
        "glitter girls", "masters of the universe", "transformers",
        "room essentials", "threshold",
    ]

    def is_pokemon_product(self, product: Product) -> bool:
        """
        Check if a product is actually a Pokemon product.
        Filters out false positives from search results.
        """
        name_lower = product.name.lower()

        # Check for exclusion terms first
        for term in self.EXCLUDE_TERMS:
            if term in name_lower:
                return False

        # Check for Pokemon terms
        for term in self.POKEMON_TERMS:
            if term in name_lower:
                return True

        # If no Pokemon terms found, reject it
        return False

    def filter_pokemon_products(self, products: List[Product]) -> List[Product]:
        """Filter to only include valid Pokemon products"""
        filtered = [p for p in products if self.is_pokemon_product(p)]
        rejected = len(products) - len(filtered)
        if rejected > 0:
            logger.info(f"Filtered out {rejected} non-Pokemon products")
        return filtered

    @abstractmethod
    def scrape_category_page(self, url: str) -> List[Product]:
        """
        Scrape a category/search page and return all products found

        Args:
            url: URL of the category page

        Returns:
            List of Product objects
        """
        pass

    @abstractmethod
    def check_product_stock(self, product_url: str) -> tuple[bool, Optional[str]]:
        """
        Check if a specific product is in stock

        Args:
            product_url: URL of the product page

        Returns:
            Tuple of (is_in_stock, price)
        """
        pass

    def filter_by_keywords(self, products: List[Product], keywords: List[str]) -> List[Product]:
        """Filter products by keywords in name"""
        if not keywords:
            return products

        filtered = []
        for product in products:
            name_lower = product.name.lower()
            if any(kw.lower() in name_lower for kw in keywords):
                filtered.append(product)

        return filtered