from collections import defaultdict, OrderedDict
from django.views.generic import TemplateView
from django.urls import reverse_lazy
from django.db.models import Count, Q, Prefetch, Sum, F, IntegerField, Value, BooleanField, Case, When
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from trades.models import TradeOffer, TradeAcceptance, TradeOfferHaveCard, TradeOfferWantCard
from cards.models import Card
from django.utils.decorators import method_decorator
from django.views.decorators.cache import cache_page
from django.template.response import TemplateResponse
from django.http import HttpResponseRedirect
#from silk.profiling.profiler import silk_profile

class HomePageView(TemplateView):
    template_name = "home/home.html"

    #@silk_profile(name='Home Page')
    def get_context_data(self, **kwargs):
        context = super().get_context_data(**kwargs)
        
        context["cards"] = Card.objects.all().order_by("name")
        
        # Reuse base trade offer queryset for market stats
        base_offer_qs = TradeOffer.objects.filter(is_closed=False)
        
        # Recent Offers
        recent_offers_qs = base_offer_qs.order_by("-created_at")
        context["recent_offers"] = recent_offers_qs[:6]
        
        # Most Offered Cards
        context["most_offered_cards"] = (
            Card.objects.filter(tradeofferhavecard__isnull=False)
            .annotate(offer_count=Sum("tradeofferhavecard__quantity"))
            .order_by("-offer_count")[:6]
        )
        
        # Most Wanted Cards
        context["most_wanted_cards"] = (
            Card.objects.filter(tradeofferwantcard__isnull=False)
            .annotate(offer_count=Sum("tradeofferwantcard__quantity"))
            .order_by("-offer_count")[:6]
        )
        
        # Least Offered Cards
        context["least_offered_cards"] = (
            Card.objects.annotate(offer_count=Sum("tradeofferhavecard__quantity"))
            .order_by("offer_count")[:6]
        )
        
        # Build featured offers with custom ordering
        featured = OrderedDict()
        # Featured "All" offers remains fixed at the top
        featured["All"] = base_offer_qs.order_by("created_at")[:6]

        # Pull out distinct (rarity_level, rarity_icon) tuples
        distinct_rarities = base_offer_qs.values_list("rarity_level", "rarity_icon").distinct()
        
        # Prepare a list that holds tuples of (rarity_level, rarity_icon, offers)
        rarity_offers = []
        for rarity_level, rarity_icon in distinct_rarities:
            offers = base_offer_qs.filter(rarity_level=rarity_level).order_by("created_at")[:6]
            rarity_offers.append((rarity_level, rarity_icon, offers))
        print(rarity_offers)
    
        # Sort by rarity_level (from greatest to least)
        rarity_offers.sort(key=lambda x: x[0], reverse=True)
    
        # Add the sorted offers to the OrderedDict
        for rarity_level, rarity_icon, offers in rarity_offers:
            featured[rarity_icon] = offers

        context["featured_offers"] = featured

        return context