This commit is contained in:
Flatlogic Bot 2026-04-02 00:51:01 +00:00
parent 4edfaf8740
commit fe37996f7b
21 changed files with 402 additions and 158 deletions

4
cookies.txt Normal file
View File

@ -0,0 +1,4 @@
# Netscape HTTP Cookie File
# https://curl.se/docs/http-cookies.html
# This file was generated by libcurl! Edit at your own risk.

View File

@ -1,13 +1,17 @@
import os
import time
from django.utils import timezone
def project_context(request):
"""
Adds project-specific environment variables to the template context globally.
"""
"""Adds project-specific environment variables to the template context globally."""
return {
"project_description": os.getenv("PROJECT_DESCRIPTION", ""),
"project_name": os.getenv("PROJECT_NAME", "Loterias BR Pro"),
"project_description": os.getenv("PROJECT_DESCRIPTION", "Gerador inteligente de números para loterias do Brasil com histórico recente e indicadores estatísticos."),
"project_image_url": os.getenv("PROJECT_IMAGE_URL", ""),
"is_admin": bool(request.session.get("admin_auth")),
"current_time": timezone.now(),
# Used for cache-busting static assets
"deployment_timestamp": int(time.time()),
}

View File

@ -57,8 +57,8 @@
</div>
<div class="hero-stats">
<div class="stat-card">
<span class="stat-value">5 loterias</span>
<span class="stat-label">Mega-Sena, Quina, Dupla Sena, Lotomania, Lotofacil</span>
<span class="stat-value">{{ lottery_count }} loterias</span>
<span class="stat-label">{{ lottery_overview }}</span>
</div>
<div class="stat-card">
<span class="stat-value">Analise recencia</span>
@ -81,7 +81,7 @@
<div class="mb-3">
<label class="form-label" for="{{ form.lottery_type.id_for_label }}">{{ form.lottery_type.label }}</label>
{{ form.lottery_type }}
<div class="form-text">Baseado no historico recente simulado ate o admin importar dados reais.</div>
<div class="form-text">Baseado no histórico recente já restaurado no banco e nas configurações atuais de cada loteria.</div>
{{ form.lottery_type.errors }}
</div>
<div class="row g-3">
@ -258,17 +258,11 @@ document.addEventListener('DOMContentLoaded', function() {
let selectedNumbers = new Set();
let currentMax = 60;
const lotteryConfigs = {
'mega_sena': 60,
'quina': 80,
'dupla_sena': 50,
'lotomania': 100,
'lotofacil': 25
};
const lotteryConfigs = {{ lottery_configs_json|safe }};
function renderGrid() {
const type = lotterySelect.value;
currentMax = lotteryConfigs[type] || 60;
currentMax = (lotteryConfigs[type] && lotteryConfigs[type].max_number) || 60;
grid.innerHTML = '';
selectedNumbers.clear();
updateUI();
@ -301,8 +295,9 @@ document.addEventListener('DOMContentLoaded', function() {
renderGrid(); // Initial load
btnLive.onclick = async () => {
if (selectedNumbers.size < 6) {
alert('Por favor, selecione pelo menos 6 números.');
const minimumRequired = (lotteryConfigs[lotterySelect.value] && lotteryConfigs[lotterySelect.value].numbers_to_draw) || 6;
if (selectedNumbers.size < minimumRequired) {
alert(`Por favor, selecione pelo menos ${minimumRequired} números para esta loteria.`);
return;
}

View File

@ -1,72 +1,259 @@
from django.shortcuts import render, get_object_or_404, redirect
from django.http import JsonResponse, HttpResponse
from .models import Lottery, DrawResult, AdminAccess
from collections import Counter
import random
from django import get_version
import json
import csv
import json
import math
import random
from django import get_version
from django.http import HttpResponse, JsonResponse
from django.shortcuts import get_object_or_404, redirect, render
from .forms import LotterySimulatorForm
from .models import AdminAccess, DrawResult, Lottery
def _format_int(value):
return f"{int(value):,}".replace(",", ".")
def _format_percent(value):
if value <= 0:
return "0%"
if value < 0.000001:
return "< 0,000001%"
return f"{value:.6f}%".replace(".", ",")
def _parse_annulled_numbers(lottery):
return [int(number.strip()) for number in lottery.annulled_numbers.split(",") if number.strip().isdigit()]
def _lottery_queryset():
return Lottery.objects.all().order_by("id")
def _lottery_choices():
return [(lottery.name, lottery.get_name_display()) for lottery in _lottery_queryset()]
def _get_recent_draws(lottery, draws_to_consider=0):
queryset = DrawResult.objects.filter(lottery=lottery).order_by("-draw_number")
if draws_to_consider:
queryset = queryset[:draws_to_consider]
return [[int(number) for number in draw.numbers.split(",") if number] for draw in queryset]
def _rank_numbers(lottery, draw_matrix):
total_draws = len(draw_matrix)
if not total_draws:
ordered = list(range(1, lottery.max_number + 1))
return ordered, ordered[: lottery.numbers_to_draw], ordered[-lottery.numbers_to_draw :]
counts = Counter(number for draw in draw_matrix for number in draw)
last_seen = {}
for index, draw in enumerate(draw_matrix):
for number in draw:
last_seen.setdefault(number, index)
scored = []
for number in range(1, lottery.max_number + 1):
frequency_score = counts.get(number, 0) / total_draws
delay_score = last_seen.get(number, total_draws) / total_draws
total_score = (frequency_score * 0.7) + (delay_score * 0.3)
scored.append((number, total_score))
scored.sort(key=lambda item: (-item[1], item[0]))
ranked_numbers = [number for number, _ in scored]
hot_numbers = ranked_numbers[: lottery.numbers_to_draw]
cold_numbers = [number for number, _ in sorted(scored, key=lambda item: (item[1], item[0]))[: lottery.numbers_to_draw]]
return ranked_numbers, hot_numbers, cold_numbers
def _generate_suggestions(lottery, ranked_numbers, games_requested, annulled_numbers):
if not ranked_numbers:
ranked_numbers = list(range(1, lottery.max_number + 1))
filtered_pool = [number for number in ranked_numbers if number not in annulled_numbers]
if len(filtered_pool) < lottery.numbers_to_draw:
filtered_pool = ranked_numbers[:]
pool_size = min(len(filtered_pool), max(lottery.numbers_to_draw * 4, lottery.numbers_to_draw))
candidate_pool = filtered_pool[:pool_size]
display_total = min(games_requested, 12) if games_requested < 1_000_000_000_000 else 6
suggestions = []
seen = set()
attempt = 0
while len(suggestions) < display_total and attempt < display_total * 10:
generator = random.Random(f"{lottery.name}:{games_requested}:{attempt}:{','.join(map(str, candidate_pool[:20]))}")
sample = sorted(generator.sample(candidate_pool, k=min(lottery.numbers_to_draw, len(candidate_pool))))
key = tuple(sample)
if key not in seen and len(sample) == lottery.numbers_to_draw:
seen.add(key)
suggestions.append(sample)
attempt += 1
if not suggestions:
suggestions.append(sorted(candidate_pool[: lottery.numbers_to_draw]))
return suggestions
def _build_lottery_cards(lotteries):
tagline_map = {
"mega_sena": "6 dezenas no volante principal",
"quina": "5 dezenas com universo amplo",
"dupla_sena": "duas chances por concurso",
"lotomania": "análise ampla para dezenas recorrentes",
"lotofacil": "equilíbrio para 15 dezenas",
"timemania": "histórico recente com foco estatístico",
"dia_de_sorte": "recorte curto com leitura de frequência",
"federal": "modelo estatístico interno por sequência",
"super_sete": "sequências compactas por coluna",
"maismilionaria": "base principal de 6 dezenas",
}
cards = []
for lottery in lotteries:
try:
combinations = math.comb(lottery.max_number, lottery.numbers_to_draw)
odds = f"1 em {_format_int(combinations)}"
except ValueError:
odds = "Configuração personalizada"
cards.append({
"label": lottery.get_name_display(),
"tagline": tagline_map.get(lottery.name, "Análise estatística por histórico real"),
"picks": lottery.numbers_to_draw,
"range_max": lottery.max_number,
"odds": odds,
})
return cards
def _build_home_result(form):
if not form.is_valid():
return None
lottery = get_object_or_404(Lottery, name=form.cleaned_data["lottery_type"])
draws_to_consider = int(form.cleaned_data["draws_to_consider"])
games_requested = int(form.cleaned_data["games_to_generate"])
draw_matrix = _get_recent_draws(lottery, draws_to_consider)
ranked_numbers, hot_numbers, cold_numbers = _rank_numbers(lottery, draw_matrix)
annulled_numbers = _parse_annulled_numbers(lottery)
reclaimed_numbers = [number for number in hot_numbers if number in annulled_numbers]
total_combinations = math.comb(lottery.max_number, lottery.numbers_to_draw)
probability = 100 / total_combinations if total_combinations else 0
suggestions = _generate_suggestions(lottery, ranked_numbers, games_requested, annulled_numbers)
trillion_labels = {
1000000000000: "1 trilhão",
10000000000000: "10 trilhões",
30000000000000: "30 trilhões",
60000000000000: "60 trilhões",
}
return {
"lottery": lottery.get_name_display(),
"draws_used": len(draw_matrix),
"total_combinations": _format_int(total_combinations),
"odds": f"1 em {_format_int(total_combinations)}",
"percent": _format_percent(probability),
"hot_numbers": hot_numbers,
"cold_numbers": cold_numbers,
"annulled_numbers": annulled_numbers,
"reclaimed_numbers": reclaimed_numbers,
"suggestions": suggestions,
"is_trillion": games_requested >= 1000000000000,
"trillion_label": trillion_labels.get(games_requested, _format_int(games_requested)),
}
def home(request):
"""Página inicial com resumo das estatísticas de IA."""
loterias = Lottery.objects.all()
"""Página inicial com resumo das estatísticas e simulador principal."""
lotteries = list(_lottery_queryset())
form = LotterySimulatorForm(
request.POST or None,
lottery_choices=[(lottery.name, lottery.get_name_display()) for lottery in lotteries],
)
result = _build_home_result(form) if request.method == "POST" else None
stats = []
for lottery in loterias:
last_draw = DrawResult.objects.filter(lottery=lottery).order_by('-draw_number').first()
for lottery in lotteries:
last_draw = DrawResult.objects.filter(lottery=lottery).order_by("-draw_number").first()
stats.append({
'name': lottery.get_name_display(),
'key': lottery.name,
'last_draw': last_draw.draw_number if last_draw else "N/A",
'last_numbers': last_draw.numbers.split(',') if last_draw else [],
'max_number': lottery.max_number
"name": lottery.get_name_display(),
"key": lottery.name,
"last_draw": last_draw.draw_number if last_draw else "N/A",
"last_numbers": last_draw.numbers.split(",") if last_draw else [],
"max_number": lottery.max_number,
"numbers_to_draw": lottery.numbers_to_draw,
})
return render(request, "core/index.html", {"stats": stats, "django_version": get_version()})
overview_names = [lottery.get_name_display() for lottery in lotteries[:4]]
lottery_configs = {
lottery.name: {
"max_number": lottery.max_number,
"numbers_to_draw": lottery.numbers_to_draw,
}
for lottery in lotteries
}
context = {
"form": form,
"result": result,
"stats": stats,
"django_version": get_version(),
"lottery_cards": _build_lottery_cards(lotteries),
"lottery_count": len(lotteries),
"lottery_overview": ", ".join(overview_names) + (" e mais" if len(lotteries) > 4 else ""),
"lottery_configs_json": json.dumps(lottery_configs),
}
return render(request, "core/index.html", context)
def lottery_info_api(request, lottery_key):
"""
Supercomputador de Elite 99.9% - Sincronizado com 10.000 concursos.
Calcula dezenas de elite baseadas em convergência matemática de alto desempenho.
"""
"""Retorna indicadores estatísticos da loteria selecionada para o gerador sequencial."""
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')
real_draws = [[int(n) for n in d.numbers.split(',')] for d in draws_db]
annulled = _parse_annulled_numbers(lottery)
draws_db = DrawResult.objects.filter(lottery=lottery).order_by("draw_number")
real_draws = [[int(n) for n in draw.numbers.split(",")] for draw in draws_db]
last_real_num = draws_db.last().draw_number if draws_db.exists() else 0
random.seed(f"{lottery_key}_supercomputer")
all_draws = list(real_draws)
max_num = lottery.max_number
n_draw = lottery.numbers_to_draw
while len(all_draws) < 10000:
hist_flat = [n for d in all_draws[-50:] for n in d]
hist_flat = [number for draw in all_draws[-50:] for number in draw]
counts = Counter(hist_flat)
candidates = []
for n in range(1, max_num + 1):
score = 100 - (counts.get(n, 0) * 2)
candidates.append((n, score + random.randint(1, 10)))
candidates.sort(key=lambda x: x[1], reverse=True)
all_draws.append(sorted([c[0] for c in candidates[:n_draw]]))
for number in range(1, max_num + 1):
score = 100 - (counts.get(number, 0) * 2)
candidates.append((number, score + random.randint(1, 10)))
candidates.sort(key=lambda item: item[1], reverse=True)
all_draws.append(sorted(candidate[0] for candidate in candidates[:n_draw]))
global_counts = Counter(n for d in all_draws for n in d)
global_counts = Counter(number for draw in all_draws for number in draw)
last_seen_real = {}
if real_draws:
for i, d in enumerate(reversed(real_draws)):
for n in d:
if n not in last_seen_real: last_seen_real[n] = i
elite_candidates = []
for n in range(1, max_num + 1):
if n in annulled: continue
freq_score = (global_counts.get(n, 0) / 10000.0) * 100
delay_score = last_seen_real.get(n, len(real_draws)) * 1.5
total_score = (freq_score * 0.4) + (delay_score * 0.6)
elite_candidates.append({'num': n, 'score': total_score})
for index, draw in enumerate(reversed(real_draws)):
for number in draw:
last_seen_real.setdefault(number, index)
elite_candidates.sort(key=lambda x: x['score'], reverse=True)
elite_greens = [c['num'] for c in elite_candidates[:20]]
next_prediction = sorted([c['num'] for c in elite_candidates[:n_draw]])
elite_candidates = []
for number in range(1, max_num + 1):
if number in annulled:
continue
freq_score = (global_counts.get(number, 0) / 10000.0) * 100
delay_score = last_seen_real.get(number, len(real_draws)) * 1.5
total_score = (freq_score * 0.4) + (delay_score * 0.6)
elite_candidates.append({"num": number, "score": total_score})
elite_candidates.sort(key=lambda item: item["score"], reverse=True)
elite_greens = [candidate["num"] for candidate in elite_candidates[:20]]
next_prediction = sorted(candidate["num"] for candidate in elite_candidates[:n_draw])
return JsonResponse({
"name": lottery.get_name_display(),
@ -74,78 +261,112 @@ def lottery_info_api(request, lottery_key):
"numbers_to_draw": lottery.numbers_to_draw,
"elite_greens": elite_greens,
"annulled_numbers": annulled,
"reclaimed_numbers": [n for n in elite_greens if n in annulled][:5],
"reclaimed_numbers": [number for number in elite_greens if number in annulled][:5],
"supercomputer_sync": 10000,
"last_real_contest": last_real_num,
"next_prediction": next_prediction,
"precision": "99.9%"
"precision": "99.9%",
})
def sequential_generator(request):
loterias = Lottery.objects.all()
loterias = _lottery_queryset()
return render(request, "core/sequential_generator.html", {"loterias": loterias})
def lottery_results(request):
loterias = Lottery.objects.all()
loterias = _lottery_queryset()
results_data = []
for lottery in loterias:
all_draws = DrawResult.objects.filter(lottery=lottery).order_by('-draw_number')
all_draws = DrawResult.objects.filter(lottery=lottery).order_by("-draw_number")
if all_draws.exists():
current_draw = all_draws.first()
current_numbers = [n.strip().zfill(2) for n in current_draw.numbers.split(',')]
current_numbers = [number.strip().zfill(2) for number in current_draw.numbers.split(",")]
results_data.append({
'lottery': lottery,
'last_draw': current_draw,
'current_numbers': current_numbers,
'prediction': ["??"] * lottery.numbers_to_draw
"lottery": lottery,
"last_draw": current_draw,
"current_numbers": current_numbers,
"prediction": ["??"] * lottery.numbers_to_draw,
})
return render(request, "core/results_ia.html", {"results": results_data})
def hits_report(request):
return render(request, "core/hits_report.html")
def admin_login(request):
if request.method == "POST":
key = request.POST.get("private_key")
if AdminAccess.objects.filter(private_key=key).exists() or key == "admin123":
request.session['admin_auth'] = True
return redirect('admin_dashboard')
request.session["admin_auth"] = True
return redirect("admin_dashboard")
return render(request, "core/admin_login.html")
def admin_logout(request):
request.session.flush()
return redirect('home')
return redirect("home")
def admin_dashboard(request):
if not request.session.get('admin_auth'): return redirect('admin_login')
loterias = Lottery.objects.all()
if not request.session.get("admin_auth"):
return redirect("admin_login")
loterias = _lottery_queryset()
return render(request, "core/admin_dashboard.html", {"loterias": loterias})
def edit_lottery(request, lottery_id):
if not request.session.get('admin_auth'): return redirect('admin_login')
if not request.session.get("admin_auth"):
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 redirect("admin_dashboard")
return render(request, "core/edit_lottery.html", {"lottery": lottery})
def full_report(request):
return render(request, "core/full_report.html")
def download_funnel(request, lottery_id):
lottery = get_object_or_404(Lottery, id=lottery_id)
response = HttpResponse(content_type='text/csv')
response['Content-Disposition'] = f'attachment; filename="funnel_{lottery.name}.csv"'
response = HttpResponse(content_type="text/csv")
response["Content-Disposition"] = f'attachment; filename="funnel_{lottery.name}.csv"'
writer = csv.writer(response)
writer.writerow(['Number', 'Status'])
annulled = lottery.annulled_numbers.split(',')
for n in range(1, lottery.max_number + 1):
writer.writerow([n, 'Annulled' if str(n) in annulled else 'Active'])
writer.writerow(["Number", "Status"])
annulled = lottery.annulled_numbers.split(",")
for number in range(1, lottery.max_number + 1):
writer.writerow([number, "Annulled" if str(number) in annulled else "Active"])
return response
def ai_auto_predict(request, lottery_id=None):
return JsonResponse({"status": "success", "message": "Neural re-calibration complete."})
def live_math(request):
return JsonResponse({"status": "live", "data": random.sample(range(1, 61), 6)})
if request.method != "POST":
return JsonResponse({"error": "Método não permitido."}, status=405)
payload = json.loads(request.body or "{}")
lottery_key = payload.get("lottery")
numbers = [int(number) for number in payload.get("numbers", []) if str(number).isdigit()]
lottery = get_object_or_404(Lottery, name=lottery_key)
draw_matrix = _get_recent_draws(lottery, 50)
ranked_numbers, hot_numbers, _ = _rank_numbers(lottery, draw_matrix)
top_window = set(ranked_numbers[: max(lottery.numbers_to_draw * 2, lottery.numbers_to_draw)])
overlap_score = sum(1 for number in numbers if number in top_window)
hot_overlap = sum(1 for number in numbers if number in hot_numbers)
diversity_bonus = 5 if len(set(number % 2 for number in numbers)) > 1 else 0
score = min(99, 35 + (overlap_score * 8) + (hot_overlap * 10) + diversity_bonus)
return JsonResponse({
"status": "success" if score >= 70 else "warning",
"score": score,
"numbers_checked": len(numbers),
"lottery": lottery.get_name_display(),
})

View File

@ -1,87 +1,107 @@
import os
import django
import requests
from datetime import datetime
# Setup Django environment
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')
import django
import requests
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings")
django.setup()
from core.models import Lottery, DrawResult, AdminAccess
from core.models import AdminAccess, DrawResult, Lottery
LOTTERIES = [
{"name": "mega_sena", "api_name": "megasena", "min": 1, "max": 60, "draw": 6},
{"name": "quina", "api_name": "quina", "min": 1, "max": 80, "draw": 5},
{"name": "dupla_sena", "api_name": "duplasena", "min": 1, "max": 50, "draw": 6},
{"name": "lotomania", "api_name": "lotomania", "min": 0, "max": 99, "draw": 50},
{"name": "lotofacil", "api_name": "lotofacil", "min": 1, "max": 25, "draw": 15},
{"name": "timemania", "api_name": "timemania", "min": 1, "max": 80, "draw": 7},
{"name": "dia_de_sorte", "api_name": "diadesorte", "min": 1, "max": 31, "draw": 7},
{"name": "federal", "api_name": "federal", "min": 0, "max": 99999, "draw": 5},
{"name": "super_sete", "api_name": "supersete", "min": 0, "max": 9, "draw": 7},
{"name": "maismilionaria", "api_name": "maismilionaria", "min": 1, "max": 50, "draw": 6},
]
def restore_lotteries():
lotteries_data = [
('mega_sena', 1, 60, 6),
('quina', 1, 80, 5),
('dupla_sena', 1, 50, 6),
('lotomania', 0, 99, 50),
('lotofacil', 1, 25, 15),
('timemania', 1, 80, 7),
('dia_de_sorte', 1, 31, 7),
('federal', 0, 99999, 5),
('super_sete', 0, 9, 7),
('maismilionaria', 1, 50, 6),
]
for name, min_n, max_n, to_draw in lotteries_data:
Lottery.objects.get_or_create(
name=name,
created = 0
for item in LOTTERIES:
lottery, was_created = Lottery.objects.get_or_create(
name=item["name"],
defaults={
'min_number': min_n,
'max_number': max_n,
'numbers_to_draw': to_draw
}
"min_number": item["min"],
"max_number": item["max"],
"numbers_to_draw": item["draw"],
},
)
print("Loterias inicializadas.")
if not was_created:
changed = False
for field, value in {
"min_number": item["min"],
"max_number": item["max"],
"numbers_to_draw": item["draw"],
}.items():
if getattr(lottery, field) != value:
setattr(lottery, field, value)
changed = True
if changed:
lottery.save(update_fields=["min_number", "max_number", "numbers_to_draw"])
created += int(was_created)
print(f"Loterias prontas. Novas criadas: {created}")
def restore_admin():
if not AdminAccess.objects.exists():
admin = AdminAccess.objects.create(private_key='admin123')
print(f"Chave Admin criada: {admin.private_key}")
else:
print(f"Chave Admin existente: {AdminAccess.objects.first().private_key}")
admin, created = AdminAccess.objects.get_or_create(private_key="admin123")
print(f"Chave admin pronta: {admin.private_key} ({'nova' if created else 'existente'})")
def sync_all_latest():
from core.views import sync_results
sync_results()
print("Sincronização dos últimos resultados concluída.")
def sync_specific(lottery_name, contest_number):
mapping = {
'mega_sena': 'megasena',
'lotofacil': 'lotofacil',
}
api_name = mapping.get(lottery_name)
if not api_name: return
def sync_history(draws_per_lottery=40):
session = requests.Session()
inserted = 0
for item in LOTTERIES:
lottery = Lottery.objects.get(name=item["name"])
latest_url = f"https://loteriascaixa-api.herokuapp.com/api/{item['api_name']}/latest"
latest_response = session.get(latest_url, timeout=15)
latest_response.raise_for_status()
latest_data = latest_response.json()
latest_contest = int(latest_data["concurso"])
current_inserted = 0
for contest in range(latest_contest, max(latest_contest - draws_per_lottery, 0), -1):
contest_url = f"https://loteriascaixa-api.herokuapp.com/api/{item['api_name']}/{contest}"
response = session.get(contest_url, timeout=15)
if response.status_code != 200:
continue
lottery = Lottery.objects.get(name=lottery_name)
try:
url = f"https://loteriascaixa-api.herokuapp.com/api/{api_name}/{contest_number}"
response = requests.get(url, timeout=5)
if response.status_code == 200:
data = response.json()
draw_number = int(data.get('concurso'))
if not DrawResult.objects.filter(lottery=lottery, draw_number=draw_number).exists():
date_str = data.get('data')
draw_date = datetime.strptime(date_str, "%d/%m/%Y").date()
numbers_list = data.get('dezenas', [])
numbers_str = ",".join([str(int(n)) for n in numbers_list])
DrawResult.objects.create(
lottery=lottery,
draw_number=draw_number,
draw_date=draw_date,
numbers=numbers_str
)
print(f"Sincronizado específico: {lottery_name} Concurso {draw_number}")
except Exception as e:
print(f"Erro ao sincronizar {lottery_name} {contest_number}: {e}")
dezenas = data.get("dezenas") or []
if not dezenas:
continue
if __name__ == "__main__":
draw_date = datetime.strptime(data["data"], "%d/%m/%Y").date()
numbers_str = ",".join(str(int(number)) for number in dezenas)
_, created = DrawResult.objects.get_or_create(
lottery=lottery,
draw_number=int(data["concurso"]),
defaults={"draw_date": draw_date, "numbers": numbers_str},
)
inserted += int(created)
current_inserted += int(created)
print(f"{item['name']}: ultimo={latest_contest}, novos={current_inserted}")
print(f"Total de resultados inseridos agora: {inserted}")
def main():
restore_lotteries()
restore_admin()
sync_all_latest()
# Concursos solicitados na história
for contest in [2976, 2977]:
sync_specific('mega_sena', contest)
sync_specific('lotofacil', contest)
print("Restauração concluída!")
sync_history(draws_per_lottery=40)
print("Restauração concluída com sucesso.")
if __name__ == "__main__":
main()