mek-tech-consulting/routes/report.js

const express = require('express');
const router = express.Router();

const questions = [
  {
    id: 'company',
    title: 'Bedrijfsinformatie',
    fields: [
      { name: 'company_name', label: 'Bedrijfsnaam', type: 'text', required: true },
      { name: 'industry', label: 'Sector/Industrie', type: 'text', required: true },
      { name: 'current_situation', label: 'Huidige situatie (uitdagingen, doelen)', type: 'textarea', required: true }
    ]
  },
  {
    id: 'infrastructure',
    title: 'Huidige Infrastructuur',
    fields: [
      { name: 'servers', label: 'Aantal servers (fysiek/virtueel)', type: 'text' },
      { name: 'storage', label: 'Huidige opslag (TB, type: NAS/SAN/object)', type: 'text' },
      { name: 'network', label: 'Netwerk infrastructuur (switches, bandbreedte)', type: 'textarea' },
      { name: 'virtualization', label: 'Virtualisatie platform (VMware, Hyper-V, Proxmox)', type: 'text' }
    ]
  },
  {
    id: 'data',
    title: 'Data & Analytics',
    fields: [
      { name: 'data_volume', label: 'Huidige data volume (TB/maand groei)', type: 'text' },
      { name: 'data_types', label: 'Data types (gestructureerd, ongestructureerd, streaming)', type: 'textarea' },
      { name: 'analytics_tools', label: 'Huidige analytics tools (PowerBI, Tableau, custom)', type: 'text' },
      { name: 'data_governance', label: 'Data governance / compliance eisen (AVG, HIPAA, etc)', type: 'textarea' }
    ]
  },
  {
    id: 'ai',
    title: 'AI & Machine Learning',
    fields: [
      { name: 'ai_current', label: 'Huidige AI/ML initiatieven', type: 'textarea' },
      { name: 'ai_goals', label: 'AI doelen (predictie, NLP, computer vision, generatief)', type: 'textarea' },
      { name: 'ai_models', label: 'Gewenste modellen (LLMs, custom modellen, open-source)', type: 'text' },
      { name: 'ai_skills', label: 'Beschikbare AI/Data skills in team', type: 'text' }
    ]
  },
  {
    id: 'requirements',
    title: 'Technische Eisen',
    fields: [
      { name: 'performance', label: 'Prestatie eisen (latency, throughput)', type: 'text' },
      { name: 'availability', label: 'Beschikbaarheid (SLA, 99.9%/99.99%)', type: 'text' },
      { name: 'security', label: 'Security eisen (encryptie, IAM, netwerk segmentatie)', type: 'textarea' },
      { name: 'budget', label: 'Budget indicatie (CAPEX/OPEX)', type: 'text' },
      { name: 'timeline', label: 'Gewenste implementatie timeline', type: 'text' }
    ]
  }
];

router.get('/', (req, res) => {
  res.render('index', { questions });
});

router.post('/report', async (req, res) => {
  const answers = req.body;
  const report = generateReport(answers);
  res.render('report', { report, answers });
});

function generateReport(data) {
  const storageTypes = (data.storage || '').toLowerCase();
  const hasDatalake = storageTypes.includes('object') || storageTypes.includes('s3');
  const hasHighVolume = parseInt(data.data_volume) > 10 || false;

  let datalakeTier = 'Standard';
  let aiTier = 'Starter';
  if (hasHighVolume) datalakeTier = 'Enterprise';
  if (hasDatalake) datalakeTier = 'Advanced';

  const aiGoals = (data.ai_goals || '').toLowerCase();
  if (aiGoals.includes('generatief') || aiGoals.includes('llm')) aiTier = 'Enterprise';
  else if (aiGoals.includes('nlp') || aiGoals.includes('predictie')) aiTier = 'Advanced';

  const architecture = {
    datalake: {
      tier: datalakeTier,
      storage: datalakeTier === 'Enterprise' ? 'MinIO/Object Store (multi-region)' : 'MinIO/S3-compatible storage',
      compute: datalakeTier === 'Enterprise' ? 'Kubernetes cluster (GPU nodes)' : 'Docker Swarm / Kubernetes',
      catalog: 'Apache Iceberg + Hive Metastore',
      processing: hasHighVolume ? 'Apache Spark structured streaming' : 'Apache Spark batch processing',
      governance: 'Apache Atlas + Ranger (GDPR/HIPAA compliant)'
    },
    ai: {
      tier: aiTier,
      serving: aiTier === 'Enterprise' ? 'vLLM + SGLang (multi-GPU)' : 'Ollama / vLLM',
      orchestration: aiTier === 'Enterprise' ? 'Kubeflow + MLflow' : 'MLflow',
      monitoring: 'Prometheus + Grafana + Evidently AI',
      models: aiTier === 'Enterprise' ? 'DeepSeek, Llama, Mixtral (8x7B+)' : 'DeepSeek-Coder, Phi-3, Qwen'
    },
    infrastructure: {
      virtualization: data.virtualization || 'Proxmox VE / VMware vSphere',
      network: 'Leaf-Spine architecture (100GbE)',
      security: 'Zero Trust + microsegmentatie + HSM',
      monitoring: 'Datadog / Grafana + Loki + Tempo'
    }
  };

  const phases = [
    {
      name: 'Fase 1: Quick Win (0-3 maanden)',
      items: [
        'Inventarisatie & assessment huidige infrastructuur',
        'Proof of Concept: Data lake op MinIO + Spark',
        'AI readiness check en model selectie',
        'Security baseline implementatie'
      ]
    },
    {
      name: 'Fase 2: Foundation (3-6 maanden)',
      items: [
        'Lakehouse architectuur implementatie (Iceberg)',
        'Data governance framework roll-out',
        'Kubernetes cluster opzetten (Rancher / kubeadm)',
        'CI/CD pipeline voor ML modellen (MLflow)'
      ]
    },
    {
      name: 'Fase 3: AI Ops (6-12 maanden)',
      items: [
        'vLLM/SGLang serving voor LLMs',
        'Automated model retraining & monitoring',
        'Self-service data platform voor analytics',
        'Cost optimization & FinOps implementatie'
      ]
    }
  ];

  return { architecture, phases };
}

module.exports = router;