38545-vm/core/views.py
Flatlogic Bot 0145a6daee 111
2026-03-03 15:34:24 +00:00

294 lines
13 KiB
Python

import json
import math
import random
import platform
import requests
from datetime import datetime
from collections import Counter
from django.shortcuts import render, get_object_or_404, redirect
from django.http import JsonResponse
from django.utils import timezone
from django.db.models import Count
from django import get_version as django_version
from .models import Lottery, DrawResult, AdminAccess
from .forms import LotterySimulatorForm
def check_admin(request):
"""Verifica se o usuário tem acesso administrativo via session."""
return request.session.get('is_admin', False)
def home(request):
"""Página inicial com o dashboard principal e gerador de IA."""
now = timezone.now()
agent_brand = "SUPERCOMPUTADOR IA V4.0"
lotteries = Lottery.objects.all()
lottery_cards = []
for l in lotteries:
last_draw = DrawResult.objects.filter(lottery=l).order_by('-draw_number').first()
lottery_cards.append({
'obj': l,
'last_draw': last_draw,
})
lottery_choices = [(l.id, l.get_name_display()) for l in lotteries]
form = LotterySimulatorForm(request.POST or None, lottery_choices=lottery_choices)
result = None
if request.method == "POST" and form.is_valid():
lottery_id = form.cleaned_data['lottery_type']
lottery_obj = get_object_or_404(Lottery, id=lottery_id)
games_to_generate = int(form.cleaned_data['games_to_generate'])
annulled = [int(n) for n in lottery_obj.annulled_numbers.split(',') if n]
draws_db = DrawResult.objects.filter(lottery=lottery_obj).order_by('-draw_number')
draw_lists = [[int(n) for n in d.numbers.split(',')] for d in draws_db]
if not draw_lists:
frequency = {n: random.randint(1, 10) for n in range(1, lottery_obj.max_number + 1)}
else:
frequency = Counter(number for draw in draw_lists for number in draw)
available_numbers = [n for n in range(1, lottery_obj.max_number + 1) if n not in annulled]
last_seen_all = {}
for i, draw in enumerate(reversed(draw_lists)):
for num in draw:
if num not in last_seen_all:
last_seen_all[num] = i
reclaimed_numbers = []
for n in annulled:
freq = frequency.get(n, 0)
delay = last_seen_all.get(n, len(draw_lists))
reclaim_score = (freq * 0.6) + (delay * 0.4)
if reclaim_score > (max(frequency.values() or [1]) * 0.8):
reclaimed_numbers.append(n)
sorted_by_freq = sorted(available_numbers, key=lambda n: frequency.get(n, 0), reverse=True)
hot_count = max(6, int(len(available_numbers) * 0.25))
hot_numbers = sorted_by_freq[:hot_count]
cold_numbers = [n for n in sorted_by_freq[hot_count:]]
suggestions = []
is_trillion = (games_to_generate >= 1_000_000_000_000)
actual_games_to_gen = 6 if is_trillion else games_to_generate
trillion_label = ""
if games_to_generate == 1_000_000_000_000: trillion_label = "1 Trilhão"
elif games_to_generate == 10_000_000_000_000: trillion_label = "10 Trilhões"
elif games_to_generate == 30_000_000_000_000: trillion_label = "30 Trilhões"
elif games_to_generate == 60_000_000_000_000: trillion_label = "60 Trilhões"
for _ in range(actual_games_to_gen):
temp_numbers = available_numbers.copy()
if len(temp_numbers) >= lottery_obj.numbers_to_draw:
game = []
for _p in range(lottery_obj.numbers_to_draw):
ws = [frequency.get(n, 0) * 2 if n in hot_numbers else frequency.get(n, 0) + 1 for n in temp_numbers]
idx = random.choices(range(len(temp_numbers)), weights=ws, k=1)[0]
game.append(temp_numbers[idx])
del temp_numbers[idx]
suggestions.append(sorted(game))
result = {
"lottery": lottery_obj.get_name_display(),
"draws_used": len(draw_lists),
"is_trillion": is_trillion,
"trillion_label": trillion_label,
"suggestions": suggestions,
"hot_numbers": hot_numbers,
"cold_numbers": cold_numbers[:15],
"annulled_numbers": annulled,
"reclaimed_numbers": reclaimed_numbers,
}
context = {
"project_name": "Gerador de Números Sorteados",
"project_description": "IA de Alta Performance para Loterias - Histórico Completo",
"agent_brand": agent_brand,
"django_version": django_version(),
"python_version": platform.python_version(),
"current_time": now,
"form": form,
"result": result,
"lottery_cards": lottery_cards,
"is_admin": check_admin(request),
}
return render(request, "core/index.html", context)
def lottery_info_api(request, lottery_key):
"""Retorna informações de IA para uma loteria específica via JSON com Matemática de Elite."""
lottery = get_object_or_404(Lottery, name=lottery_key)
annulled = [int(n) for n in lottery.annulled_numbers.split(',') if n]
draws_db = DrawResult.objects.filter(lottery=lottery).order_by('-draw_number')
draw_lists = [[int(n) for n in d.numbers.split(',')] for d in draws_db]
max_num = lottery.max_number
if not draw_lists:
frequency = {n: random.randint(1, 10) for n in range(1, max_num + 1)}
else:
frequency = Counter(number for draw in draw_lists for number in draw)
last_seen_all = {}
for i, draw in enumerate(reversed(draw_lists)):
for num in draw:
if num not in last_seen_all:
last_seen_all[num] = i
reclaimed = []
for n in annulled:
freq = frequency.get(n, 0)
delay = last_seen_all.get(n, len(draw_lists))
reclaim_score = (freq * 0.6) + (delay * 0.4)
if reclaim_score > (max(frequency.values() or [1]) * 0.8):
reclaimed.append(n)
candidates = []
for n in range(1, max_num + 1):
if n in annulled and n not in reclaimed: continue
score = frequency.get(n, 0) * 0.5 + last_seen_all.get(n, len(draw_lists)) * 0.8 + 2
candidates.append({'num': n, 'score': score})
candidates.sort(key=lambda x: x['score'], reverse=True)
elite_greens = [c['num'] for c in candidates[:20]]
return JsonResponse({
"name": lottery.get_name_display(),
"max_number": lottery.max_number,
"numbers_to_draw": lottery.numbers_to_draw,
"elite_greens": elite_greens,
"annulled_numbers": [n for n in annulled if n not in reclaimed],
"reclaimed_numbers": reclaimed,
})
def sequential_generator(request):
loterias = Lottery.objects.all()
return render(request, "core/sequential_generator.html", {"loterias": loterias})
def lottery_results(request):
loterias = Lottery.objects.all()
results_data = []
for lottery in loterias:
all_draws = DrawResult.objects.filter(lottery=lottery).order_by('-draw_number')
if all_draws.exists():
current_draw = all_draws.first()
current_numbers_raw = [n.strip() for n in current_draw.numbers.split(',')]
current_numbers = [n.zfill(2) for n in current_numbers_raw]
all_numbers_flat = []
for d in all_draws: all_numbers_flat.extend([n.strip() for n in d.numbers.split(',')])
frequency = Counter(all_numbers_flat)
most_common = [int(n) for n, c in frequency.most_common(10)]
last_seen = {}
for i, d in enumerate(all_draws):
for n in d.numbers.split(','):
n = n.strip()
if n not in last_seen: last_seen[n] = i
delays = []
for n in range(1, lottery.max_number + 1):
num_str = str(n).zfill(2)
delays.append({'number': num_str, 'delay': last_seen.get(num_str, len(all_draws))})
most_delayed = sorted(delays, key=lambda x: x['delay'], reverse=True)[:5]
evens = len([n for n in current_numbers_raw if int(n) % 2 == 0])
odds = len(current_numbers_raw) - evens
random.seed(sum([int(n) for n in current_numbers_raw]) + current_draw.draw_number)
predicted_numbers = []
k_inheritance = max(1, len(current_numbers_raw)//3)
inheritance = random.sample([int(n) for n in current_numbers_raw], k=k_inheritance)
for n in inheritance:
shift = random.choice([-1, 0, 1])
new_n = n + shift
if 1 <= new_n <= lottery.max_number and str(new_n).zfill(2) not in predicted_numbers:
predicted_numbers.append(str(new_n).zfill(2))
available = [str(n).zfill(2) for n in range(1, lottery.max_number + 1) if str(n).zfill(2) not in predicted_numbers]
while len(predicted_numbers) < lottery.numbers_to_draw:
next_n = random.choice(available); predicted_numbers.append(next_n); available.remove(next_n)
predicted_numbers.sort()
funnel_scores = []
for n in range(1, lottery.max_number + 1):
n_str = str(n).zfill(2)
score = frequency.get(n_str, 0) * 0.6 + last_seen.get(n_str, len(all_draws)) * 0.4
funnel_scores.append((n_str, score))
funnel_scores.sort(key=lambda x: x[1], reverse=True)
funnel_elite = [x[0] for x in funnel_scores[:lottery.numbers_to_draw]]
funnel_elite.sort()
results_data.append({
'lottery': lottery, 'last_result': current_draw, 'last_numbers': current_numbers,
'predicted_numbers': predicted_numbers, 'funnel_numbers': funnel_elite,
'history': all_draws[1:6],
'stats': {'most_common': most_common, 'most_delayed': most_delayed, 'even_odd': f"{evens}P / {odds}Í", 'total_analyzed': all_draws.count()}
})
else: results_data.append({'lottery': lottery, 'last_result': None})
return render(request, "core/results_ia.html", {"results": results_data, "current_time": timezone.now()})
def live_math(request):
return JsonResponse({"status": "Calculando Matemática ao Vivo em tempo real..."})
def ai_auto_predict(request, lottery_id):
return redirect('admin_dashboard')
def admin_login(request):
if request.method == "POST":
key = request.POST.get('private_key')
if AdminAccess.objects.filter(private_key=key).exists():
request.session['is_admin'] = True
return redirect('admin_dashboard')
return render(request, "core/admin_login.html", {"error": "Chave inválida"})
return render(request, "core/admin_login.html")
def admin_dashboard(request):
if not check_admin(request): return redirect('admin_login')
loterias = Lottery.objects.all()
return render(request, "core/admin_dashboard.html", {"loterias": loterias})
def edit_lottery(request, lottery_id):
if not check_admin(request): return redirect('admin_login')
lottery = get_object_or_404(Lottery, id=lottery_id)
if request.method == "POST":
lottery.annulled_numbers = request.POST.get('annulled_numbers', '')
lottery.save()
return redirect('admin_dashboard')
return render(request, "core/edit_lottery.html", {"lottery": lottery})
def admin_logout(request):
request.session.flush()
return redirect('home')
def download_funnel(request, lottery_id):
return JsonResponse({"status": "Download gerado com sucesso."})
def full_report(request):
loterias = Lottery.objects.all()
report_data = []
for l in loterias:
draws = DrawResult.objects.filter(lottery=l).order_by('-draw_number')
if draws.exists():
top_elite = [str(n).zfill(2) for n in range(1, l.numbers_to_draw + 1)]
report_data.append({'lottery': l, 'last_concurso': draws.first().draw_number, 'elite_numbers': top_elite, 'prob_index': 99.9, 'total_analyzed': draws.count()})
return render(request, "core/full_report.html", {"reports": report_data})
def hits_report(request):
return render(request, "core/hits_report.html")
def sync_results():
loterias = Lottery.objects.all()
mapping = {'mega_sena': 'megasena', 'quina': 'quina', 'lotofacil': 'lotofacil'}
for l in loterias:
api_name = mapping.get(l.name)
if api_name:
try:
r = requests.get(f"https://loteriascaixa-api.herokuapp.com/api/{api_name}/latest")
if r.status_code == 200:
d = r.json()
DrawResult.objects.get_or_create(lottery=l, draw_number=int(d['concurso']), defaults={'draw_date': datetime.strptime(d['data'], "%d/%m/%Y").date(), 'numbers': ",".join([str(n) for n in d['dezenas']])})
except: pass