bigbasealpha/src/dashboard/mock-server.js

Enterprise-Grade NoSQL Database System with Modular Logger & Offline HSM Security - Complete database platform with professional text-based logging, encryption, caching, indexing, JWT authentication, auto-generated REST API, real-time dashboard, and maste

import express from 'express';
import cors from 'cors';
import path from 'path';
import { fileURLToPath } from 'url';
import { dirname } from 'path';

const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);

const app = express();
const PORT = 3001;

// Middleware
app.use(cors());
app.use(express.json());
app.use(express.static(path.join(__dirname, '.')));

// Mock data generators
function generateMockData() {
  const now = Date.now();
  const timestamps = Array.from({length: 20}, (_, i) => now - (19 - i) * 60000);
  
  return {
    // Business Intelligence Mock Data
    bi: {
      summary: {
        kpis: { total: 12, active: 10, warning: 2, critical: 0 },
        dashboards: { total: 5, active: 4, views: 1247 },
        insights: { total: 34, new: 7, confidence: 0.85 },
        reports: { total: 18, generated: 15, scheduled: 3 },
        dataMining: { jobs: 8, patterns: 156, anomalies: 12 }
      },
      kpis: [
        {
          id: 'revenue',
          name: 'Monthly Revenue',
          type: 'currency',
          currentValue: 156750,
          targetValue: 150000,
          status: 'good',
          trend: 'up',
          trendPercent: 12.5,
          format: 'currency'
        },
        {
          id: 'users',
          name: 'Active Users',
          type: 'counter',
          currentValue: 12486,
          targetValue: 12000,
          status: 'good',
          trend: 'up',
          trendPercent: 8.3,
          format: 'number'
        },
        {
          id: 'conversion',
          name: 'Conversion Rate',
          type: 'percentage',
          currentValue: 3.7,
          targetValue: 4.0,
          status: 'warning',
          trend: 'down',
          trendPercent: -2.1,
          format: 'percentage'
        },
        {
          id: 'satisfaction',
          name: 'Customer Satisfaction',
          type: 'percentage',
          currentValue: 94.2,
          targetValue: 90.0,
          status: 'good',
          trend: 'up',
          trendPercent: 5.8,
          format: 'percentage'
        },
        {
          id: 'response_time',
          name: 'Avg Response Time',
          type: 'duration',
          currentValue: 187,
          targetValue: 200,
          status: 'good',
          trend: 'down',
          trendPercent: -12.3,
          format: 'number'
        },
        {
          id: 'error_rate',
          name: 'Error Rate',
          type: 'percentage',
          currentValue: 0.12,
          targetValue: 0.5,
          status: 'good',
          trend: 'stable',
          trendPercent: 0.8,
          format: 'percentage'
        }
      ],
      performanceMetrics: {
        timestamps,
        queryTimes: timestamps.map(() => Math.random() * 100 + 50),
        memoryUsage: timestamps.map(() => Math.random() * 30 + 40)
      },
      dataMiningResults: [
        {
          id: 'dm_001',
          collection: 'users',
          timestamp: now - 3600000,
          patterns: [
            { type: 'seasonal', description: 'Peak activity on weekends', confidence: 0.89 },
            { type: 'behavioral', description: 'Users prefer mobile app', confidence: 0.76 }
          ],
          anomalies: [
            { type: 'outlier', description: 'Unusual spike in registrations', severity: 'medium' }
          ],
          executionTime: 2340
        },
        {
          id: 'dm_002',
          collection: 'transactions',
          timestamp: now - 7200000,
          patterns: [
            { type: 'temporal', description: 'Higher transactions during lunch hours', confidence: 0.92 }
          ],
          anomalies: [],
          executionTime: 1890
        }
      ],
      reports: [
        {
          id: 'rpt_001',
          name: 'Weekly Performance Report',
          type: 'performance',
          status: 'completed',
          timestamp: now - 86400000
        },
        {
          id: 'rpt_002',
          name: 'Customer Behavior Analysis',
          type: 'behavioral',
          status: 'completed',
          timestamp: now - 172800000
        },
        {
          id: 'rpt_003',
          name: 'Revenue Forecasting',
          type: 'predictive',
          status: 'pending',
          timestamp: now - 3600000
        }
      ],
      correlations: {
        correlations: [
          {
            field1: 'user_activity',
            field2: 'revenue',
            correlation: 0.87,
            dataPoints: Array.from({length: 20}, () => ({
              x: Math.random() * 100,
              y: Math.random() * 100
            }))
          },
          {
            field1: 'response_time',
            field2: 'satisfaction',
            correlation: -0.65,
            dataPoints: Array.from({length: 20}, () => ({
              x: Math.random() * 200 + 100,
              y: Math.random() * 50 + 50
            }))
          }
        ]
      },
      insights: [
        {
          id: 'insight_001',
          title: 'Revenue Growth Acceleration',
          description: 'Monthly revenue has increased by 12.5% compared to last month, primarily driven by new user acquisitions.',
          confidence: 0.92,
          timestamp: now - 3600000,
          category: 'financial'
        },
        {
          id: 'insight_002',
          title: 'Mobile Usage Dominance',
          description: 'Mobile app usage accounts for 78% of total user interactions, suggesting mobile-first optimization is effective.',
          confidence: 0.88,
          timestamp: now - 7200000,
          category: 'user_behavior'
        },
        {
          id: 'insight_003',
          title: 'Weekend Activity Spike',
          description: 'User activity increases by 45% during weekends, indicating leisure usage patterns.',
          confidence: 0.85,
          timestamp: now - 10800000,
          category: 'temporal'
        },
        {
          id: 'insight_004',
          title: 'Response Time Optimization',
          description: 'Recent infrastructure improvements have reduced average response time by 12.3%.',
          confidence: 0.94,
          timestamp: now - 14400000,
          category: 'performance'
        }
      ]
    },
    
    // Distributed Computing Mock Data
    distributed: {
      status: {
        totalWorkers: 8,
        activeWorkers: 6,
        queuedJobs: 23,
        runningJobs: 4,
        completedJobs: 1247,
        failedJobs: 12,
        avgExecutionTime: 234.5,
        throughput: 45.2,
        systemLoad: 68.3
      },
      workers: [
        { id: 1, status: 'active', currentJobs: 2, maxJobs: 10, workerId: 'worker_001' },
        { id: 2, status: 'active', currentJobs: 3, maxJobs: 10, workerId: 'worker_002' },
        { id: 3, status: 'busy', currentJobs: 8, maxJobs: 10, workerId: 'worker_003' },
        { id: 4, status: 'active', currentJobs: 1, maxJobs: 10, workerId: 'worker_004' },
        { id: 5, status: 'active', currentJobs: 4, maxJobs: 10, workerId: 'worker_005' },
        { id: 6, status: 'active', currentJobs: 2, maxJobs: 10, workerId: 'worker_006' },
        { id: 7, status: 'idle', currentJobs: 0, maxJobs: 10, workerId: 'worker_007' },
        { id: 8, status: 'error', currentJobs: 0, maxJobs: 10, workerId: 'worker_008' }
      ],
      performanceHistory: {
        timestamps,
        throughput: timestamps.map(() => Math.random() * 20 + 35),
        responseTime: timestamps.map(() => Math.random() * 100 + 150)
      },
      jobs: [
        {
          id: 'job_001',
          type: 'map',
          status: 'running',
          workerId: 'worker_003',
          createdAt: now - 120000,
          startTime: now - 60000
        },
        {
          id: 'job_002',
          type: 'reduce',
          status: 'running',
          workerId: 'worker_002',
          createdAt: now - 180000,
          startTime: now - 90000
        },
        {
          id: 'job_003',
          type: 'query',
          status: 'pending',
          createdAt: now - 30000
        },
        {
          id: 'job_004',
          type: 'batch',
          status: 'completed',
          workerId: 'worker_001',
          createdAt: now - 300000,
          startTime: now - 240000,
          endTime: now - 180000
        },
        {
          id: 'job_005',
          type: 'map',
          status: 'failed',
          workerId: 'worker_008',
          createdAt: now - 600000,
          startTime: now - 540000,
          endTime: now - 480000
        }
      ],
      resourceUsage: {
        cpuUsage: 68.3,
        memoryUsage: 45.7,
        networkUsage: 23.1
      },
      loadDistribution: {
        workers: [
          { id: 1, jobsProcessed: 127 },
          { id: 2, jobsProcessed: 134 },
          { id: 3, jobsProcessed: 156 },
          { id: 4, jobsProcessed: 98 },
          { id: 5, jobsProcessed: 145 },
          { id: 6, jobsProcessed: 112 },
          { id: 7, jobsProcessed: 87 },
          { id: 8, jobsProcessed: 23 }
        ]
      },
      analytics: {
        efficiency: 92.3,
        errorRate: 0.96,
        avgQueueTime: 45.2,
        workerUtilization: 75.8,
        recommendations: [
          {
            title: 'Optimize Worker 8',
            description: 'Worker 8 shows high error rate. Consider restarting or reassigning tasks.',
            priority: 'high'
          },
          {
            title: 'Scale Up Recommendation',
            description: 'Current throughput suggests adding 2 more workers would improve performance by 25%.',
            priority: 'medium'
          },
          {
            title: 'Queue Management',
            description: 'Consider implementing priority queuing for better job distribution.',
            priority: 'low'
          }
        ]
      }
    }
  };
}

// Generate fresh mock data
let mockData = generateMockData();

// Refresh mock data periodically to simulate real-time updates
setInterval(() => {
  mockData = generateMockData();
}, 30000);

// ===== BUSINESS INTELLIGENCE API ENDPOINTS =====

// BI Summary endpoint
app.get('/api/bi/summary', (req, res) => {
  res.json(mockData.bi.summary);
});

// KPIs endpoint
app.get('/api/bi/kpis', (req, res) => {
  res.json(mockData.bi.kpis);
});

// Performance metrics endpoint
app.get('/api/bi/performance-metrics', (req, res) => {
  res.json(mockData.bi.performanceMetrics);
});

// Data mining results endpoint
app.get('/api/bi/data-mining-results', (req, res) => {
  res.json(mockData.bi.dataMiningResults);
});

// BI Reports endpoint
app.get('/api/bi/reports', (req, res) => {
  res.json(mockData.bi.reports);
});

// Correlations endpoint
app.get('/api/bi/correlations', (req, res) => {
  res.json(mockData.bi.correlations);
});

// AI Insights endpoint
app.get('/api/bi/insights', (req, res) => {
  res.json(mockData.bi.insights);
});

// ===== DISTRIBUTED COMPUTING API ENDPOINTS =====

// System status endpoint
app.get('/api/distributed/status', (req, res) => {
  res.json(mockData.distributed.status);
});

// Workers endpoint
app.get('/api/distributed/workers', (req, res) => {
  res.json(mockData.distributed.workers);
});

// Performance history endpoint
app.get('/api/distributed/performance-history', (req, res) => {
  res.json(mockData.distributed.performanceHistory);
});

// Jobs endpoint
app.get('/api/distributed/jobs', (req, res) => {
  res.json(mockData.distributed.jobs);
});

// Resource usage endpoint
app.get('/api/distributed/resource-usage', (req, res) => {
  res.json(mockData.distributed.resourceUsage);
});

// Load distribution endpoint
app.get('/api/distributed/load-distribution', (req, res) => {
  res.json(mockData.distributed.loadDistribution);
});

// System analytics endpoint
app.get('/api/distributed/analytics', (req, res) => {
  res.json(mockData.distributed.analytics);
});

// ===== CONTROL ENDPOINTS =====

// Start all workers
app.post('/api/distributed/workers/start', (req, res) => {
  // Simulate starting workers
  mockData.distributed.workers.forEach(worker => {
    if (worker.status === 'idle' || worker.status === 'error') {
      worker.status = 'active';
    }
  });
  
  mockData.distributed.status.activeWorkers = mockData.distributed.workers
    .filter(w => w.status === 'active' || w.status === 'busy').length;
  
  res.json({ success: true, message: 'All workers started' });
});

// Stop all workers
app.post('/api/distributed/workers/stop', (req, res) => {
  // Simulate stopping workers
  mockData.distributed.workers.forEach(worker => {
    if (worker.status === 'active') {
      worker.status = 'idle';
      worker.currentJobs = 0;
    }
  });
  
  mockData.distributed.status.activeWorkers = 0;
  mockData.distributed.status.runningJobs = 0;
  
  res.json({ success: true, message: 'All workers stopped' });
});

// Run test job
app.post('/api/distributed/test-job', (req, res) => {
  const newJob = {
    id: `job_test_${Date.now()}`,
    type: req.body.type || 'map',
    status: 'pending',
    createdAt: Date.now(),
    description: req.body.options?.description || 'Test job'
  };
  
  mockData.distributed.jobs.unshift(newJob);
  mockData.distributed.status.queuedJobs++;
  
  res.json({ success: true, jobId: newJob.id });
});

// Clear completed jobs
app.post('/api/distributed/jobs/clear-completed', (req, res) => {
  const beforeCount = mockData.distributed.jobs.length;
  mockData.distributed.jobs = mockData.distributed.jobs
    .filter(job => job.status !== 'completed' && job.status !== 'failed');
  const afterCount = mockData.distributed.jobs.length;
  
  res.json({ 
    success: true, 
    message: `Cleared ${beforeCount - afterCount} completed jobs` 
  });
});

// Optimize system
app.post('/api/distributed/optimize', (req, res) => {
  // Simulate optimization
  mockData.distributed.analytics.efficiency = Math.min(98, mockData.distributed.analytics.efficiency + 2);
  mockData.distributed.analytics.errorRate = Math.max(0.1, mockData.distributed.analytics.errorRate - 0.1);
  
  res.json({ 
    success: true, 
    message: 'System optimization completed',
    improvements: {
      efficiency: '+2%',
      errorRate: '-0.1%'
    }
  });
});

// ===== STATIC FILE SERVING =====

// Serve BI Dashboard
app.get('/bi-dashboard', (req, res) => {
  res.sendFile(path.join(__dirname, 'bi-dashboard.html'));
});

// Serve Distributed Computing Dashboard
app.get('/distributed-dashboard', (req, res) => {
  res.sendFile(path.join(__dirname, 'distributed-dashboard.html'));
});

// Main dashboard with links to both
app.get('/', (req, res) => {
  res.send(`
    <!DOCTYPE html>
    <html lang="en">
    <head>
        <meta charset="UTF-8">
        <meta name="viewport" content="width=device-width, initial-scale=1.0">
        <title>BigBaseAlpha - Enterprise Dashboards</title>
        <style>
            body {
                font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
                background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
                margin: 0;
                padding: 40px;
                color: #333;
            }
            .container {
                max-width: 1200px;
                margin: 0 auto;
                text-align: center;
            }
            h1 {
                color: white;
                font-size: 3rem;
                margin-bottom: 20px;
                text-shadow: 2px 2px 4px rgba(0,0,0,0.3);
            }
            .subtitle {
                color: rgba(255,255,255,0.9);
                font-size: 1.2rem;
                margin-bottom: 50px;
            }
            .dashboard-grid {
                display: grid;
                grid-template-columns: repeat(auto-fit, minmax(400px, 1fr));
                gap: 30px;
                margin: 40px 0;
            }
            .dashboard-card {
                background: rgba(255,255,255,0.95);
                backdrop-filter: blur(10px);
                border-radius: 20px;
                padding: 40px;
                box-shadow: 0 20px 40px rgba(0,0,0,0.1);
                transition: transform 0.3s ease, box-shadow 0.3s ease;
            }
            .dashboard-card:hover {
                transform: translateY(-10px);
                box-shadow: 0 30px 60px rgba(0,0,0,0.2);
            }
            .dashboard-icon {
                font-size: 4rem;
                margin-bottom: 20px;
            }
            .dashboard-title {
                font-size: 1.5rem;
                font-weight: 600;
                margin-bottom: 15px;
                color: #333;
            }
            .dashboard-description {
                color: #666;
                margin-bottom: 25px;
                line-height: 1.6;
            }
            .dashboard-link {
                display: inline-block;
                background: linear-gradient(135deg, #667eea, #764ba2);
                color: white;
                text-decoration: none;
                padding: 15px 30px;
                border-radius: 25px;
                font-weight: 500;
                transition: all 0.3s ease;
                box-shadow: 0 5px 15px rgba(102, 126, 234, 0.3);
            }
            .dashboard-link:hover {
                transform: translateY(-2px);
                box-shadow: 0 8px 25px rgba(102, 126, 234, 0.4);
                text-decoration: none;
                color: white;
            }
            .api-info {
                background: rgba(255,255,255,0.95);
                backdrop-filter: blur(10px);
                border-radius: 20px;
                padding: 30px;
                margin-top: 40px;
                text-align: left;
            }
            .api-endpoint {
                background: #f8f9fa;
                padding: 10px 15px;
                border-radius: 8px;
                margin: 5px 0;
                font-family: 'Monaco', 'Menlo', monospace;
                font-size: 0.9rem;
                border-left: 3px solid #667eea;
            }
        </style>
    </head>
    <body>
        <div class="container">
            <h1>🚀 BigBaseAlpha</h1>
            <p class="subtitle">Enterprise-Grade Database with Advanced Analytics & Distributed Computing</p>
            
            <div class="dashboard-grid">
                <div class="dashboard-card">
                    <div class="dashboard-icon">🧠</div>
                    <div class="dashboard-title">Business Intelligence</div>
                    <div class="dashboard-description">
                        Advanced analytics dashboard with KPIs, AI insights, data mining results, 
                        and predictive analytics for business intelligence.
                    </div>
                    <a href="/bi-dashboard" class="dashboard-link">Open BI Dashboard</a>
                </div>
                
                <div class="dashboard-card">
                    <div class="dashboard-icon">⚡</div>
                    <div class="dashboard-title">Distributed Computing</div>
                    <div class="dashboard-description">
                        Real-time monitoring and control of distributed computing systems, 
                        worker pools, job queues, and performance analytics.
                    </div>
                    <a href="/distributed-dashboard" class="dashboard-link">Open Computing Dashboard</a>
                </div>
            </div>
            
            <div class="api-info">
                <h3>🔌 Available API Endpoints</h3>
                <p><strong>Business Intelligence:</strong></p>
                <div class="api-endpoint">GET /api/bi/summary - BI overview statistics</div>
                <div class="api-endpoint">GET /api/bi/kpis - Key Performance Indicators</div>
                <div class="api-endpoint">GET /api/bi/insights - AI-generated insights</div>
                <div class="api-endpoint">GET /api/bi/reports - Business intelligence reports</div>
                
                <p><strong>Distributed Computing:</strong></p>
                <div class="api-endpoint">GET /api/distributed/status - System status overview</div>
                <div class="api-endpoint">GET /api/distributed/workers - Worker pool status</div>
                <div class="api-endpoint">GET /api/distributed/jobs - Job queue and history</div>
                <div class="api-endpoint">POST /api/distributed/workers/start - Start all workers</div>
                <div class="api-endpoint">POST /api/distributed/test-job - Run test job</div>
            </div>
        </div>
    </body>
    </html>
  `);
});

// ===== ERROR HANDLING =====

app.use((err, req, res, next) => {
  console.error('Server error:', err);
  res.status(500).json({ 
    error: 'Internal server error', 
    message: err.message 
  });
});

// 404 handler
app.use((req, res) => {
  res.status(404).json({ 
    error: 'Not found', 
    message: `Endpoint ${req.method} ${req.path} not found` 
  });
});

// Start server
app.listen(PORT, () => {
  console.log(`\n🚀 BigBaseAlpha Dashboard Server running on http://localhost:${PORT}`);
  console.log(`📊 Business Intelligence Dashboard: http://localhost:${PORT}/bi-dashboard`);
  console.log(`⚡ Distributed Computing Dashboard: http://localhost:${PORT}/distributed-dashboard`);
  console.log(`🔌 API Documentation: http://localhost:${PORT}/`);
  console.log(`\n📡 API Endpoints:`);
  console.log(`   • BI Summary: http://localhost:${PORT}/api/bi/summary`);
  console.log(`   • System Status: http://localhost:${PORT}/api/distributed/status`);
  console.log(`   • Workers: http://localhost:${PORT}/api/distributed/workers`);
});

export default app;