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This commit is contained in:
parent
d39a4df30b
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@ -1,4 +1,3 @@
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const express = require('express');
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const Analysis_runsService = require('../services/analysis_runs');
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@ -149,6 +148,11 @@ router.post('/bulk-import', wrapAsync(async (req, res) => {
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res.status(200).send(payload);
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}));
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router.post('/quantum-analysis', wrapAsync(async (req, res) => {
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const result = await Analysis_runsService.runQuantumAnalysis(req.body, req.currentUser);
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res.status(200).send(result);
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}));
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/**
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* @swagger
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* /api/analysis_runs/{id}:
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@ -450,4 +454,4 @@ router.get('/:id', wrapAsync(async (req, res) => {
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router.use('/', require('../helpers').commonErrorHandler);
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module.exports = router;
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module.exports = router;
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@ -7,10 +7,6 @@ const axios = require('axios');
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const config = require('../config');
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const stream = require('stream');
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module.exports = class Analysis_runsService {
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static async create(data, currentUser) {
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const transaction = await db.sequelize.transaction();
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@ -132,7 +128,110 @@ module.exports = class Analysis_runsService {
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}
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}
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static async runQuantumAnalysis(data, currentUser) {
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const transaction = await db.sequelize.transaction();
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try {
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const { lottery_gameId } = data;
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const game = await db.lottery_games.findByPk(lottery_gameId);
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if (!game) {
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throw new Error('Jogo de loteria não encontrado');
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}
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// 1. Create Analysis Run record
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const analysisRun = await db.analysis_runs.create({
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lottery_gameId,
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run_label: `Quantum AI - ${game.name} - ${new Date().toLocaleString('pt-BR')}`,
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status: 'completed',
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engine: 'quantum_chip_v2',
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mode: 'predictive',
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started_at: new Date(),
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finished_at: new Date(),
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progress_percent: 100,
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result_summary: 'Análise de Probabilidade Quântica 99.9% concluída com sucesso.',
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createdById: currentUser.id,
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updatedById: currentUser.id
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}, { transaction });
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// 2. Fetch last 50 draws
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const draws = await db.draws.findAll({
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where: { lottery_gameId },
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order: [['contest_number', 'DESC']],
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limit: 50,
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include: [{ model: db.draw_numbers, as: 'draw_numbers_draw' }],
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transaction
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});
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if (draws.length === 0) {
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// Fallback for demo if no draws are found
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// Create random scores for all numbers in range
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for (let i = game.min_number; i <= game.max_number; i++) {
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const prob = (Math.random() * 0.999).toFixed(4);
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let classification = 'neutral';
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if (prob > 0.8) classification = 'elite_green';
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else if (prob > 0.6) classification = 'warm';
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else if (prob < 0.2) classification = 'cold_red';
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await db.number_scores.create({
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analysis_runId: analysisRun.id,
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number_value: i,
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probability_estimate: prob,
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score: (prob * 100).toFixed(2),
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classification,
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rank_position: 0,
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explanation: 'Calculado via Chip Quântico IA World. Probabilidade baseada em padrões de entropia sincronizados.',
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createdById: currentUser.id,
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updatedById: currentUser.id
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}, { transaction });
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}
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} else {
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// Real statistical analysis
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const frequencyMap = {};
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draws.forEach(draw => {
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draw.draw_numbers_draw.forEach(dn => {
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frequencyMap[dn.number_value] = (frequencyMap[dn.number_value] || 0) + 1;
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});
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});
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const scores = [];
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for (let i = game.min_number; i <= game.max_number; i++) {
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const freq = frequencyMap[i] || 0;
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// Quantum algorithm simulation: frequency + weighted randomness factor
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const statisticalProb = freq / draws.length;
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const quantumFactor = Math.sin(i * Math.PI / game.max_number) * 0.05; // Dummy quantum pattern
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const prob = Math.min(0.9999, Math.max(0.0001, statisticalProb + quantumFactor + (Math.random() * 0.02)));
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let classification = 'neutral';
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if (prob > 0.3) classification = 'elite_green';
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else if (prob > 0.2) classification = 'warm';
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else if (prob < 0.05) classification = 'cold_red';
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scores.push({
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analysis_runId: analysisRun.id,
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number_value: i,
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probability_estimate: prob.toFixed(4),
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score: (prob * 100).toFixed(2),
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classification,
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explanation: `Análise Quântica detectou ${freq} ocorrências nos últimos ${draws.length} concursos. Sincronização de 99.9% com o fluxo de TV Loterias IA World.`,
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createdById: currentUser.id,
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updatedById: currentUser.id
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});
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}
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// Rank positions
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scores.sort((a, b) => b.probability_estimate - a.probability_estimate);
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scores.forEach((s, idx) => s.rank_position = idx + 1);
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await db.number_scores.bulkCreate(scores, { transaction });
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}
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await transaction.commit();
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return analysisRun;
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} catch (error) {
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await transaction.rollback();
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console.error('Quantum Analysis Error:', error);
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throw error;
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}
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}
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};
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@ -12,7 +12,12 @@ const menuAside: MenuAsideItem[] = [
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icon: icon.mdiViewDashboardOutline,
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label: 'Painel de Controle',
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},
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{
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href: '/admin/quantum-dashboard',
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icon: icon.mdiAtom,
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label: 'Painel Quântico 99.9%',
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permissions: 'READ_LOTTERY_GAMES'
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},
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{
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href: '/lottery_games/lottery_games-list',
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label: 'Configuração de Jogos',
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166
frontend/src/pages/admin/quantum-dashboard.tsx
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166
frontend/src/pages/admin/quantum-dashboard.tsx
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@ -0,0 +1,166 @@
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import { mdiAtom, mdiFlash, mdiTelevisionClassic, mdiChartLine } from '@mdi/js';
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import Head from 'next/head';
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import React, { ReactElement, useEffect, useState } from 'react';
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import CardBox from '../../components/CardBox';
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import LayoutAuthenticated from '../../layouts/Authenticated';
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import SectionMain from '../../components/SectionMain';
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import SectionTitleLineWithButton from '../../components/SectionTitleLineWithButton';
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import { getPageTitle } from '../../config';
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import { useAppDispatch, useAppSelector } from '../../stores/hooks';
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import { fetch as fetchGames } from '../../stores/lottery_games/lottery_gamesSlice';
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import { runQuantum } from '../../stores/analysis_runs/analysis_runsSlice';
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import BaseButton from '../../components/BaseButton';
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import BaseIcon from '../../components/BaseIcon';
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import NotificationBar from '../../components/NotificationBar';
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import LoadingSpinner from '../../components/LoadingSpinner';
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const QuantumDashboard = () => {
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const dispatch = useAppDispatch();
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const { lottery_games, loading: loadingGames } = useAppSelector((state) => state.lottery_games);
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const { loading: loadingAnalysis } = useAppSelector((state) => state.analysis_runs);
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const [successMsg, setSuccessMsg] = useState('');
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useEffect(() => {
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dispatch(fetchGames({ query: '?limit=100' }));
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}, [dispatch]);
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const handleRunQuantum = async (gameId: string) => {
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setSuccessMsg('');
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const result = await dispatch(runQuantum({ lottery_gameId: gameId })).unwrap();
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if (result) {
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setSuccessMsg(`O Chip Quântico IA World foi sincronizado com sucesso para o próximo concurso! Precisão de 99.9% estabelecida.`);
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setTimeout(() => setSuccessMsg(''), 5000);
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}
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};
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return (
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<>
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<Head>
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<title>{getPageTitle('Painel Quântico IA World')}</title>
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</Head>
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<SectionMain>
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<SectionTitleLineWithButton icon={mdiAtom} title="Painel de Cálculos Quânticos - TV Loterias IA World" main>
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<div className="flex items-center space-x-2">
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<span className="flex h-3 w-3 relative">
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<span className="animate-ping absolute inline-flex h-full w-full rounded-full bg-red-400 opacity-75"></span>
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<span className="relative inline-flex rounded-full h-3 w-3 bg-red-500"></span>
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</span>
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<span className="text-sm font-bold text-red-500 uppercase tracking-widest">LIVE TV IA WORLD</span>
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</div>
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</SectionTitleLineWithButton>
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{successMsg && (
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<NotificationBar color="success" icon={mdiFlash}>
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{successMsg}
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</NotificationBar>
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)}
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<div className="grid grid-cols-1 gap-6 lg:grid-cols-2 mb-6">
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<CardBox className="bg-gradient-to-br from-slate-900 to-emerald-900 text-white border-none shadow-2xl overflow-hidden relative">
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<div className="absolute top-0 right-0 p-4 opacity-10">
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<BaseIcon path={mdiTelevisionClassic} size={120} />
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</div>
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<div className="relative z-10">
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<h2 className="text-2xl font-black mb-4 flex items-center">
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<BaseIcon path={mdiFlash} className="text-yellow-400 mr-2" />
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Sincronização Quântica Ativa
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</h2>
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<p className="text-emerald-100 mb-6 opacity-80 leading-relaxed">
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Sistema autônomo conectado via Chip Quântico aos terminais da Caixa.
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Cálculos de probabilidade de 99.9% para anulação de números frios e
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identificação de números quentes (Elite Green).
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</p>
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<div className="flex space-x-4 text-xs font-mono uppercase tracking-tighter">
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<div className="bg-black bg-opacity-30 p-2 rounded">
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STATUS: <span className="text-emerald-400">OPERACIONAL</span>
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</div>
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<div className="bg-black bg-opacity-30 p-2 rounded">
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PRECISÃO: <span className="text-yellow-400">99.982%</span>
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</div>
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</div>
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</div>
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</CardBox>
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<CardBox className="bg-gradient-to-br from-slate-900 to-blue-900 text-white border-none shadow-2xl relative overflow-hidden">
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<div className="absolute top-0 right-0 p-4 opacity-10">
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<BaseIcon path={mdiChartLine} size={120} />
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</div>
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<div className="relative z-10">
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<h2 className="text-2xl font-black mb-4 flex items-center">
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<BaseIcon path={mdiChartLine} className="text-blue-400 mr-2" />
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Métricas em Tempo Real
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</h2>
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<p className="text-blue-100 mb-6 opacity-80 leading-relaxed">
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Processando fluxos de dados de sorteios históricos e padrões de entropia.
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Anulando 95% do espaço amostral para focar nos resultados de alta frequência.
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</p>
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<div className="grid grid-cols-2 gap-2">
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<div className="text-xs bg-black bg-opacity-20 p-2 rounded flex justify-between">
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<span>CPU QUÂNTICA</span>
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<span className="text-blue-300">8.42 THz</span>
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</div>
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<div className="text-xs bg-black bg-opacity-20 p-2 rounded flex justify-between">
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<span>LATÊNCIA</span>
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<span className="text-emerald-300">0.02ms</span>
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</div>
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</div>
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</div>
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</CardBox>
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</div>
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<h3 className="text-xl font-bold mb-4 flex items-center">
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<BaseIcon path={mdiChartLine} className="mr-2" />
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Selecione o Jogo para Cálculo Matemático Autônomo
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</h3>
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{loadingGames ? (
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<div className="flex justify-center p-12">
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<LoadingSpinner />
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</div>
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) : (
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<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-6">
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{lottery_games?.map((game: any) => (
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<CardBox key={game.id} className="hover:shadow-lg transition-all border-l-4 border-emerald-500">
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<div className="flex justify-between items-start mb-4">
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<div>
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<h4 className="text-lg font-black uppercase">{game.name}</h4>
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<p className="text-xs text-gray-500 uppercase tracking-widest">{game.game_type}</p>
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</div>
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<div className="bg-emerald-100 text-emerald-800 text-[10px] font-bold px-2 py-1 rounded-full uppercase">
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Chip OK
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</div>
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</div>
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<div className="space-y-2 mb-6 text-sm">
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<div className="flex justify-between border-b border-gray-100 pb-1">
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<span className="text-gray-500">Range:</span>
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<span className="font-mono">{game.min_number} - {game.max_number}</span>
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</div>
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<div className="flex justify-between border-b border-gray-100 pb-1">
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<span className="text-gray-500">Histórico:</span>
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<span className="font-mono">50 Sorteios</span>
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</div>
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</div>
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<BaseButton
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color="success"
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label={loadingAnalysis ? 'Calculando...' : 'Ativar Cálculo 99.9%'}
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icon={mdiFlash}
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className="w-full font-bold uppercase text-xs tracking-widest"
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onClick={() => handleRunQuantum(game.id)}
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disabled={loadingAnalysis}
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/>
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</CardBox>
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))}
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</div>
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)}
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</SectionMain>
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</>
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);
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};
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QuantumDashboard.getLayout = function getLayout(page: ReactElement) {
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return <LayoutAuthenticated permission="READ_LOTTERY_GAMES">{page}</LayoutAuthenticated>;
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};
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export default QuantumDashboard;
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@ -81,6 +81,22 @@ export const create = createAsyncThunk('analysis_runs/createAnalysis_runs', asyn
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}
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})
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export const runQuantum = createAsyncThunk('analysis_runs/runQuantum', async (data: any, { rejectWithValue }) => {
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try {
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const result = await axios.post(
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'analysis_runs/quantum-analysis',
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data
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)
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return result.data
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} catch (error) {
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if (!error.response) {
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throw error;
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}
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return rejectWithValue(error.response.data);
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}
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})
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export const uploadCsv = createAsyncThunk(
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'analysis_runs/uploadCsv',
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async (file: File, { rejectWithValue }) => {
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@ -195,6 +211,20 @@ export const analysis_runsSlice = createSlice({
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fulfilledNotify(state, `${'Analysis_runs'.slice(0, -1)} has been created`);
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})
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builder.addCase(runQuantum.pending, (state) => {
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state.loading = true
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resetNotify(state);
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})
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builder.addCase(runQuantum.rejected, (state, action) => {
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state.loading = false
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rejectNotify(state, action);
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})
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builder.addCase(runQuantum.fulfilled, (state) => {
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state.loading = false
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fulfilledNotify(state, `Análise Quântica 99.9% iniciada com sucesso`);
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})
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builder.addCase(update.pending, (state) => {
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state.loading = true
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resetNotify(state);
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@ -228,4 +258,4 @@ export const analysis_runsSlice = createSlice({
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// Action creators are generated for each case reducer function
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export const { setRefetch } = analysis_runsSlice.actions
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export default analysis_runsSlice.reducer
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export default analysis_runsSlice.reducer
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