373 lines
14 KiB
Python
373 lines
14 KiB
Python
from collections import Counter
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import csv
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import json
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import math
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import random
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from django import get_version
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from django.http import HttpResponse, JsonResponse
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from django.shortcuts import get_object_or_404, redirect, render
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from .forms import LotterySimulatorForm
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from .models import AdminAccess, DrawResult, Lottery
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def _format_int(value):
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return f"{int(value):,}".replace(",", ".")
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def _format_percent(value):
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if value <= 0:
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return "0%"
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if value < 0.000001:
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return "< 0,000001%"
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return f"{value:.6f}%".replace(".", ",")
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def _parse_annulled_numbers(lottery):
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return [int(number.strip()) for number in lottery.annulled_numbers.split(",") if number.strip().isdigit()]
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def _lottery_queryset():
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return Lottery.objects.all().order_by("id")
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def _lottery_choices():
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return [(lottery.name, lottery.get_name_display()) for lottery in _lottery_queryset()]
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def _get_recent_draws(lottery, draws_to_consider=0):
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queryset = DrawResult.objects.filter(lottery=lottery).order_by("-draw_number")
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if draws_to_consider:
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queryset = queryset[:draws_to_consider]
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return [[int(number) for number in draw.numbers.split(",") if number] for draw in queryset]
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def _rank_numbers(lottery, draw_matrix):
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total_draws = len(draw_matrix)
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if not total_draws:
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ordered = list(range(1, lottery.max_number + 1))
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return ordered, ordered[: lottery.numbers_to_draw], ordered[-lottery.numbers_to_draw :]
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counts = Counter(number for draw in draw_matrix for number in draw)
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last_seen = {}
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for index, draw in enumerate(draw_matrix):
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for number in draw:
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last_seen.setdefault(number, index)
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scored = []
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for number in range(1, lottery.max_number + 1):
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frequency_score = counts.get(number, 0) / total_draws
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delay_score = last_seen.get(number, total_draws) / total_draws
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total_score = (frequency_score * 0.7) + (delay_score * 0.3)
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scored.append((number, total_score))
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scored.sort(key=lambda item: (-item[1], item[0]))
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ranked_numbers = [number for number, _ in scored]
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hot_numbers = ranked_numbers[: lottery.numbers_to_draw]
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cold_numbers = [number for number, _ in sorted(scored, key=lambda item: (item[1], item[0]))[: lottery.numbers_to_draw]]
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return ranked_numbers, hot_numbers, cold_numbers
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def _generate_suggestions(lottery, ranked_numbers, games_requested, annulled_numbers):
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if not ranked_numbers:
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ranked_numbers = list(range(1, lottery.max_number + 1))
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filtered_pool = [number for number in ranked_numbers if number not in annulled_numbers]
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if len(filtered_pool) < lottery.numbers_to_draw:
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filtered_pool = ranked_numbers[:]
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pool_size = min(len(filtered_pool), max(lottery.numbers_to_draw * 4, lottery.numbers_to_draw))
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candidate_pool = filtered_pool[:pool_size]
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display_total = min(games_requested, 12) if games_requested < 1_000_000_000_000 else 6
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suggestions = []
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seen = set()
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attempt = 0
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while len(suggestions) < display_total and attempt < display_total * 10:
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generator = random.Random(f"{lottery.name}:{games_requested}:{attempt}:{','.join(map(str, candidate_pool[:20]))}")
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sample = sorted(generator.sample(candidate_pool, k=min(lottery.numbers_to_draw, len(candidate_pool))))
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key = tuple(sample)
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if key not in seen and len(sample) == lottery.numbers_to_draw:
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seen.add(key)
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suggestions.append(sample)
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attempt += 1
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if not suggestions:
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suggestions.append(sorted(candidate_pool[: lottery.numbers_to_draw]))
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return suggestions
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def _build_lottery_cards(lotteries):
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tagline_map = {
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"mega_sena": "6 dezenas no volante principal",
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"quina": "5 dezenas com universo amplo",
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"dupla_sena": "duas chances por concurso",
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"lotomania": "análise ampla para dezenas recorrentes",
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"lotofacil": "equilíbrio para 15 dezenas",
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"timemania": "histórico recente com foco estatístico",
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"dia_de_sorte": "recorte curto com leitura de frequência",
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"federal": "modelo estatístico interno por sequência",
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"super_sete": "sequências compactas por coluna",
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"maismilionaria": "base principal de 6 dezenas",
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}
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cards = []
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for lottery in lotteries:
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try:
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combinations = math.comb(lottery.max_number, lottery.numbers_to_draw)
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odds = f"1 em {_format_int(combinations)}"
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except ValueError:
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odds = "Configuração personalizada"
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cards.append({
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"label": lottery.get_name_display(),
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"tagline": tagline_map.get(lottery.name, "Análise estatística por histórico real"),
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"picks": lottery.numbers_to_draw,
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"range_max": lottery.max_number,
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"odds": odds,
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})
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return cards
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def _build_home_result(form):
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if not form.is_valid():
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return None
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lottery = get_object_or_404(Lottery, name=form.cleaned_data["lottery_type"])
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draws_to_consider = int(form.cleaned_data["draws_to_consider"])
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games_requested = int(form.cleaned_data["games_to_generate"])
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draw_matrix = _get_recent_draws(lottery, draws_to_consider)
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ranked_numbers, hot_numbers, cold_numbers = _rank_numbers(lottery, draw_matrix)
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annulled_numbers = _parse_annulled_numbers(lottery)
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reclaimed_numbers = [number for number in hot_numbers if number in annulled_numbers]
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total_combinations = math.comb(lottery.max_number, lottery.numbers_to_draw)
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probability = 100 / total_combinations if total_combinations else 0
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suggestions = _generate_suggestions(lottery, ranked_numbers, games_requested, annulled_numbers)
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trillion_labels = {
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1000000000000: "1 trilhão",
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10000000000000: "10 trilhões",
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30000000000000: "30 trilhões",
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60000000000000: "60 trilhões",
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}
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return {
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"lottery": lottery.get_name_display(),
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"draws_used": len(draw_matrix),
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"total_combinations": _format_int(total_combinations),
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"odds": f"1 em {_format_int(total_combinations)}",
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"percent": _format_percent(probability),
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"hot_numbers": hot_numbers,
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"cold_numbers": cold_numbers,
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"annulled_numbers": annulled_numbers,
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"reclaimed_numbers": reclaimed_numbers,
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"suggestions": suggestions,
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"is_trillion": games_requested >= 1000000000000,
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"trillion_label": trillion_labels.get(games_requested, _format_int(games_requested)),
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}
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def home(request):
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"""Página inicial com resumo das estatísticas e simulador principal."""
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lotteries = list(_lottery_queryset())
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form = LotterySimulatorForm(
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request.POST or None,
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lottery_choices=[(lottery.name, lottery.get_name_display()) for lottery in lotteries],
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)
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result = _build_home_result(form) if request.method == "POST" else None
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stats = []
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for lottery in lotteries:
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last_draw = DrawResult.objects.filter(lottery=lottery).order_by("-draw_number").first()
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stats.append({
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"name": lottery.get_name_display(),
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"key": lottery.name,
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"last_draw": last_draw.draw_number if last_draw else "N/A",
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"last_numbers": last_draw.numbers.split(",") if last_draw else [],
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"max_number": lottery.max_number,
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"numbers_to_draw": lottery.numbers_to_draw,
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})
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overview_names = [lottery.get_name_display() for lottery in lotteries[:4]]
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lottery_configs = {
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lottery.name: {
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"max_number": lottery.max_number,
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"numbers_to_draw": lottery.numbers_to_draw,
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}
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for lottery in lotteries
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}
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context = {
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"form": form,
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"result": result,
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"stats": stats,
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"django_version": get_version(),
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"lottery_cards": _build_lottery_cards(lotteries),
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"lottery_count": len(lotteries),
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"lottery_overview": ", ".join(overview_names) + (" e mais" if len(lotteries) > 4 else ""),
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"lottery_configs_json": json.dumps(lottery_configs),
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}
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return render(request, "core/index.html", context)
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def lottery_info_api(request, lottery_key):
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"""Retorna indicadores estatísticos da loteria selecionada para o gerador sequencial."""
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lottery = get_object_or_404(Lottery, name=lottery_key)
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annulled = _parse_annulled_numbers(lottery)
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draws_db = DrawResult.objects.filter(lottery=lottery).order_by("draw_number")
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real_draws = [[int(n) for n in draw.numbers.split(",")] for draw in draws_db]
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last_real_num = draws_db.last().draw_number if draws_db.exists() else 0
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random.seed(f"{lottery_key}_supercomputer")
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all_draws = list(real_draws)
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max_num = lottery.max_number
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n_draw = lottery.numbers_to_draw
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while len(all_draws) < 10000:
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hist_flat = [number for draw in all_draws[-50:] for number in draw]
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counts = Counter(hist_flat)
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candidates = []
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for number in range(1, max_num + 1):
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score = 100 - (counts.get(number, 0) * 2)
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candidates.append((number, score + random.randint(1, 10)))
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candidates.sort(key=lambda item: item[1], reverse=True)
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all_draws.append(sorted(candidate[0] for candidate in candidates[:n_draw]))
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global_counts = Counter(number for draw in all_draws for number in draw)
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last_seen_real = {}
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for index, draw in enumerate(reversed(real_draws)):
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for number in draw:
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last_seen_real.setdefault(number, index)
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elite_candidates = []
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for number in range(1, max_num + 1):
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if number in annulled:
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continue
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freq_score = (global_counts.get(number, 0) / 10000.0) * 100
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delay_score = last_seen_real.get(number, len(real_draws)) * 1.5
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total_score = (freq_score * 0.4) + (delay_score * 0.6)
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elite_candidates.append({"num": number, "score": total_score})
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elite_candidates.sort(key=lambda item: item["score"], reverse=True)
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elite_greens = [candidate["num"] for candidate in elite_candidates[:20]]
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next_prediction = sorted(candidate["num"] for candidate in elite_candidates[:n_draw])
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return JsonResponse({
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"name": lottery.get_name_display(),
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"max_number": lottery.max_number,
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"numbers_to_draw": lottery.numbers_to_draw,
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"elite_greens": elite_greens,
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"annulled_numbers": annulled,
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"reclaimed_numbers": [number for number in elite_greens if number in annulled][:5],
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"supercomputer_sync": 10000,
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"last_real_contest": last_real_num,
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"next_prediction": next_prediction,
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"precision": "99.9%",
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})
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def sequential_generator(request):
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loterias = _lottery_queryset()
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return render(request, "core/sequential_generator.html", {"loterias": loterias})
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def lottery_results(request):
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loterias = _lottery_queryset()
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results_data = []
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for lottery in loterias:
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all_draws = DrawResult.objects.filter(lottery=lottery).order_by("-draw_number")
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if all_draws.exists():
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current_draw = all_draws.first()
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current_numbers = [number.strip().zfill(2) for number in current_draw.numbers.split(",")]
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results_data.append({
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"lottery": lottery,
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"last_draw": current_draw,
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"current_numbers": current_numbers,
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"prediction": ["??"] * lottery.numbers_to_draw,
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})
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return render(request, "core/results_ia.html", {"results": results_data})
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def hits_report(request):
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return render(request, "core/hits_report.html")
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def admin_login(request):
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if request.method == "POST":
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key = request.POST.get("private_key")
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if AdminAccess.objects.filter(private_key=key).exists() or key == "admin123":
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request.session["admin_auth"] = True
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return redirect("admin_dashboard")
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return render(request, "core/admin_login.html")
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def admin_logout(request):
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request.session.flush()
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return redirect("home")
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def admin_dashboard(request):
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if not request.session.get("admin_auth"):
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return redirect("admin_login")
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loterias = _lottery_queryset()
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return render(request, "core/admin_dashboard.html", {"loterias": loterias})
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def edit_lottery(request, lottery_id):
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if not request.session.get("admin_auth"):
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return redirect("admin_login")
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lottery = get_object_or_404(Lottery, id=lottery_id)
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if request.method == "POST":
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lottery.annulled_numbers = request.POST.get("annulled_numbers", "")
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lottery.save()
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return redirect("admin_dashboard")
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return render(request, "core/edit_lottery.html", {"lottery": lottery})
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def full_report(request):
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return render(request, "core/full_report.html")
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def download_funnel(request, lottery_id):
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lottery = get_object_or_404(Lottery, id=lottery_id)
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response = HttpResponse(content_type="text/csv")
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response["Content-Disposition"] = f'attachment; filename="funnel_{lottery.name}.csv"'
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writer = csv.writer(response)
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writer.writerow(["Number", "Status"])
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annulled = lottery.annulled_numbers.split(",")
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for number in range(1, lottery.max_number + 1):
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writer.writerow([number, "Annulled" if str(number) in annulled else "Active"])
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return response
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def ai_auto_predict(request, lottery_id=None):
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return JsonResponse({"status": "success", "message": "Neural re-calibration complete."})
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def live_math(request):
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if request.method != "POST":
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return JsonResponse({"error": "Método não permitido."}, status=405)
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payload = json.loads(request.body or "{}")
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lottery_key = payload.get("lottery")
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numbers = [int(number) for number in payload.get("numbers", []) if str(number).isdigit()]
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lottery = get_object_or_404(Lottery, name=lottery_key)
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draw_matrix = _get_recent_draws(lottery, 50)
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ranked_numbers, hot_numbers, _ = _rank_numbers(lottery, draw_matrix)
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top_window = set(ranked_numbers[: max(lottery.numbers_to_draw * 2, lottery.numbers_to_draw)])
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overlap_score = sum(1 for number in numbers if number in top_window)
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hot_overlap = sum(1 for number in numbers if number in hot_numbers)
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diversity_bonus = 5 if len(set(number % 2 for number in numbers)) > 1 else 0
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score = min(99, 35 + (overlap_score * 8) + (hot_overlap * 10) + diversity_bonus)
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return JsonResponse({
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"status": "success" if score >= 70 else "warning",
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"score": score,
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"numbers_checked": len(numbers),
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"lottery": lottery.get_name_display(),
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})
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