75 lines
No EOL
3 KiB
Python
75 lines
No EOL
3 KiB
Python
from collections import defaultdict
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from django.views.generic import TemplateView
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from django.urls import reverse_lazy
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from django.db.models import Count, Q, Prefetch, Sum, F, IntegerField, Value, BooleanField, Case, When
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from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
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from trades.models import TradeOffer, TradeAcceptance, TradeOfferHaveCard, TradeOfferWantCard
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from cards.models import Card, CardSet, Rarity
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from django.utils.decorators import method_decorator
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from django.views.decorators.cache import cache_page
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from django.template.response import TemplateResponse
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from django.http import HttpResponseRedirect
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from silk.profiling.profiler import silk_profile
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class HomePageView(TemplateView):
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template_name = "home/home.html"
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@silk_profile(name='Home Page')
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def get_context_data(self, **kwargs):
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context = super().get_context_data(**kwargs)
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context["cards"] = Card.objects.all().order_by("name", "rarity__pk")
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# Reuse base trade offer queryset for market stats
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base_offer_qs = TradeOffer.objects.filter(is_closed=False)
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# Recent Offers
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recent_offers_qs = base_offer_qs.order_by("-created_at")
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context["recent_offers"] = recent_offers_qs[:6]
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# Most Offered Cards
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context["most_offered_cards"] = (
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Card.objects_no_prefetch.filter(tradeofferhavecard__isnull=False)
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.annotate(offer_count=Sum("tradeofferhavecard__quantity"))
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.order_by("-offer_count")[:6]
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)
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# Most Wanted Cards
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context["most_wanted_cards"] = (
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Card.objects_no_prefetch.filter(tradeofferwantcard__isnull=False)
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.annotate(offer_count=Sum("tradeofferwantcard__quantity"))
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.order_by("-offer_count")[:6]
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)
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# Least Offered Cards
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context["least_offered_cards"] = (
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Card.objects_no_prefetch.annotate(offer_count=Sum("tradeofferhavecard__quantity"))
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.order_by("offer_count")[:6]
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)
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featured = {}
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# Featured "All" offers
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featured["All"] = base_offer_qs.order_by("created_at")[:6]
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# Get the normalized ids for rarities with pk<=5.
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normalized_ids = list(
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Rarity.objects.filter(pk__lte=5).values_list("normalized_id", flat=True).distinct()
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)
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rarity_map = {
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rarity.normalized_id: rarity.icons
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for rarity in Rarity.objects.filter(pk__lte=5)
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}
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# For each normalized id (sorted descending), filter base offers that have the matching trade offer rarity.
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for norm in sorted(normalized_ids, reverse=True):
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offers_qs = base_offer_qs.filter(
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rarity__normalized_id=norm # now using trade_offer.rarity
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).order_by("created_at").distinct()[:6]
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icon_label = rarity_map.get(norm)
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if icon_label:
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featured[icon_label] = offers_qs
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context["featured_offers"] = featured
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return context |