import { Language } from './types'

const translations = {
  de: {
    nav: {
      slides: 'Slides',
      fullscreen: 'Vollbild',
      language: 'Sprache',
    },
    slideNames: [
      'Cover',
      'Das Problem',
      'Die Loesung',
      'Produkte',
      'So funktioniert\'s',
      'Markt',
      'Geschaeftsmodell',
      'Traction',
      'Wettbewerb',
      'Team',
      'Finanzen',
      'The Ask',
      'KI Q&A',
      'Anhang: Annahmen',
      'Anhang: Architektur',
      'Anhang: Go-to-Market',
      'Anhang: Regulatorik',
    ],
    cover: {
      tagline: 'Compliance & Code-Security fuer den Maschinenbau',
      subtitle: 'Pre-Seed  ·  Q4 2026',
      cta: 'Pitch starten',
    },
    problem: {
      title: 'Das Problem',
      subtitle: 'Maschinenbauer entwickeln Software — aber wer sichert Compliance und Code-Sicherheit?',
      cards: [
        {
          title: 'DSGVO',
          stat: '4.1 Mrd EUR',
          desc: 'Bussgelder seit 2018. Maschinenbauer verarbeiten Kundendaten, Telemetrie und Wartungsprotokolle — oft ohne DSGVO-Prozesse.',
        },
        {
          title: 'AI Act',
          stat: 'Aug 2025',
          desc: 'Maschinen mit KI-Komponenten muessen klassifiziert werden. Embedded KI in Steuerungen und Predictive Maintenance erfordert Dokumentation.',
        },
        {
          title: 'CRA & NIS2',
          stat: '30.000+',
          desc: 'Der Cyber Resilience Act verpflichtet Hersteller, Software in ihren Produkten abzusichern. NIS2 erweitert die Cybersecurity-Pflichten auf den Maschinenbau.',
        },
      ],
      quote: 'Maschinenbauer brauchen keine Compliance-Berater — sie brauchen eine KI, die ihren Code scannt, Risiken bewertet und Compliance dokumentiert.',
    },
    solution: {
      title: 'Die Loesung',
      subtitle: 'ComplAI — Compliance & Code-Security auf Autopilot',
      pillars: [
        {
          title: 'Self-Hosted Vorarbeit',
          desc: 'Mac Mini oder Mac Studio im Serverraum scannt Code, analysiert Repositories und erstellt Compliance-Dokumente. Kein Byte verlaesst das Unternehmen.',
          icon: 'server',
        },
        {
          title: 'Code-Security & DevSecOps',
          desc: 'Scannt Firmware und Software mit integrierten DevSecOps-Tools (Trivy, Semgrep, Gitleaks). Das 1000B Cloud-LLM implementiert Fixes und schreibt Risikoanalysen.',
          icon: 'scan',
        },
        {
          title: 'Compliance-KI',
          desc: 'Macht Ihr Unternehmen UND Ihre Produkte compliant. DSGVO, AI Act, CRA und NIS2 — automatisiert. BSI-zertifiziertes 1000B LLM in Deutschland gehostet.',
          icon: 'bot',
        },
      ],
    },
    product: {
      title: 'Unsere Produkte',
      subtitle: 'Drei Tiers fuer jede Unternehmensgroesse',
      monthly: '/Monat',
      hardware: 'Hardware',
      llm: 'KI-Modell',
      popular: 'Beliebt',
      features: 'Features',
    },
    howItWorks: {
      title: 'So funktioniert\'s',
      subtitle: 'In 4 Schritten zu Compliance & Code-Security',
      steps: [
        {
          title: 'Hardware aufstellen',
          desc: 'Mac Mini oder Mac Studio im Serverraum anschliessen. Plug & Play — scannt ab Tag 1 Ihre Repositories.',
        },
        {
          title: 'Code-Repos verbinden',
          desc: 'Git-Repos, CI/CD Pipelines und Firmware-Projekte anbinden. Die lokale KI scannt automatisch auf Schwachstellen und Compliance-Luecken.',
        },
        {
          title: 'Compliance & Security automatisieren',
          desc: 'Laufende Code-Analyse und Risikoanalysen bei jeder Aenderung. Bei kritischen Fixes schaltet sich das 1000B Cloud-LLM zu und implementiert Verbesserungen.',
        },
        {
          title: 'Audit bestehen',
          desc: 'Vollstaendige Dokumentation fuer DSGVO, AI Act, CRA und NIS2 auf Knopfdruck. Risikobeurteilungen fuer Ihre Software inklusive.',
        },
      ],
    },
    market: {
      title: 'Marktchance',
      subtitle: 'Der Maschinenbau braucht Compliance & Code-Security',
      tam: 'TAM',
      sam: 'SAM',
      som: 'SOM',
      tamLabel: 'Total Addressable Market',
      samLabel: 'Serviceable Addressable Market',
      somLabel: 'Serviceable Obtainable Market',
      source: 'Quelle',
      growth: 'Wachstum p.a.',
    },
    businessModel: {
      title: 'Geschaeftsmodell',
      subtitle: 'Recurring Revenue mit Hardware-Moat',
      unitEconomics: 'Unit Economics',
      amortization: 'Amortisation',
      margin: 'Marge',
      months: 'Monate',
      recurringRevenue: 'Recurring Revenue',
      hardwareCost: 'Hardware-EK',
      operatingCost: 'Betriebskosten',
    },
    traction: {
      title: 'Traction & Meilensteine',
      subtitle: 'Unser bisheriger Fortschritt',
      completed: 'Abgeschlossen',
      inProgress: 'In Arbeit',
      planned: 'Geplant',
    },
    competition: {
      title: 'Wettbewerb',
      subtitle: 'Was uns differenziert',
      feature: 'Feature',
      selfHosted: 'Self-Hosted',
      integratedAI: 'Integrierte KI',
      autonomousSupport: 'Autonomer Support',
      yes: 'Ja',
      no: 'Nein',
      partial: 'Teilweise',
    },
    team: {
      title: 'Das Team',
      subtitle: 'Gruender mit Domain-Expertise',
      equity: 'Equity',
      expertise: 'Expertise',
    },
    financials: {
      title: 'Finanzprognose',
      subtitle: 'AI-First Kostenstruktur — skaliert ohne lineares Personalwachstum',
      revenue: 'Umsatz',
      costs: 'Kosten',
      customers: 'Kunden',
      mrr: 'MRR',
      arr: 'ARR',
      burnRate: 'Burn Rate',
      employees: 'Mitarbeiter',
      year: 'Jahr',
      sliderGrowth: 'Wachstumsrate',
      sliderChurn: 'Churn Rate',
      sliderArpu: 'ARPU',
      adjustAssumptions: 'Annahmen anpassen',
    },
    theAsk: {
      title: 'The Ask',
      subtitle: 'Pre-Seed Finanzierung',
      amount: 'Funding',
      instrument: 'Instrument',
      useOfFunds: 'Use of Funds',
      engineering: 'Engineering',
      sales: 'Vertrieb',
      hardware: 'Hardware',
      legal: 'Legal',
      reserve: 'Reserve',
      targetDate: 'Zieldatum',
    },
    aiqa: {
      title: 'Fragen? Die KI antwortet.',
      subtitle: 'Stellen Sie Ihre Investorenfragen — unser AI Agent antwortet mit Echtdaten.',
      placeholder: 'Stellen Sie eine Frage zum Investment...',
      send: 'Senden',
      thinking: 'Denke nach...',
      suggestions: [
        'Wie funktioniert die Code-Security fuer Firmware?',
        'Warum koennen Proliance und DataGuard das nicht?',
        'Was kostet die Loesung fuer einen Maschinenbauer?',
        'Wie sieht die Risikoanalyse fuer unsere Software aus?',
      ],
    },
    annex: {
      assumptions: {
        title: 'Annahmen & Sensitivitaet',
        subtitle: 'Drei Szenarien fuer robuste Planung',
      },
      architecture: {
        title: 'Technische Architektur',
        subtitle: 'Self-Hosted KI-Stack fuer maximale Datensouveraenitaet',
      },
      gtm: {
        title: 'Go-to-Market Strategie',
        subtitle: 'Vom Pilot zum skalierbaren Vertrieb',
      },
      regulatory: {
        title: 'Regulatorische Details',
        subtitle: 'Die vier Saeulen der EU-Compliance fuer Maschinenbauer',
      },
      engineering: {
        title: 'Engineering Deep Dive',
        subtitle: '691K Zeilen Code \u00b7 45 Container \u00b7 100% Self-Hosted',
      },
      aipipeline: {
        title: 'KI-Pipeline Deep Dive',
        subtitle: 'RAG \u00b7 Multi-Agent-System \u00b7 Document Intelligence \u00b7 Quality Assurance',
      },
    },
  },
  en: {
    nav: {
      slides: 'Slides',
      fullscreen: 'Fullscreen',
      language: 'Language',
    },
    slideNames: [
      'Cover',
      'The Problem',
      'The Solution',
      'Products',
      'How It Works',
      'Market',
      'Business Model',
      'Traction',
      'Competition',
      'Team',
      'Financials',
      'The Ask',
      'AI Q&A',
      'Appendix: Assumptions',
      'Appendix: Architecture',
      'Appendix: Go-to-Market',
      'Appendix: Regulatory',
    ],
    cover: {
      tagline: 'Compliance & Code Security for Machine Manufacturers',
      subtitle: 'Pre-Seed  ·  Q4 2026',
      cta: 'Start Pitch',
    },
    problem: {
      title: 'The Problem',
      subtitle: 'Machine manufacturers develop software — but who ensures compliance and code security?',
      cards: [
        {
          title: 'GDPR',
          stat: 'EUR 4.1B',
          desc: 'in fines since 2018. Machine manufacturers process customer data, telemetry and maintenance logs — often without GDPR processes.',
        },
        {
          title: 'AI Act',
          stat: 'Aug 2025',
          desc: 'Machines with AI components must be classified. Embedded AI in controllers and predictive maintenance requires documentation.',
        },
        {
          title: 'CRA & NIS2',
          stat: '30,000+',
          desc: 'The Cyber Resilience Act obligates manufacturers to secure software in their products. NIS2 extends cybersecurity obligations to machine manufacturing.',
        },
      ],
      quote: 'Machine manufacturers don\'t need compliance consultants — they need an AI that scans their code, assesses risks and documents compliance.',
    },
    solution: {
      title: 'The Solution',
      subtitle: 'ComplAI — Compliance & Code Security on Autopilot',
      pillars: [
        {
          title: 'Self-Hosted Preprocessing',
          desc: 'Mac Mini or Mac Studio in your server room scans code, analyzes repositories and creates compliance documents. No data leaves the company.',
          icon: 'server',
        },
        {
          title: 'Code Security & DevSecOps',
          desc: 'Scans firmware and software with integrated DevSecOps tools (Trivy, Semgrep, Gitleaks). The 1000B cloud LLM implements fixes and writes risk assessments.',
          icon: 'scan',
        },
        {
          title: 'Compliance AI',
          desc: 'Makes your company AND your products compliant. GDPR, AI Act, CRA and NIS2 — automated. BSI-certified 1000B LLM hosted in Germany.',
          icon: 'bot',
        },
      ],
    },
    product: {
      title: 'Our Products',
      subtitle: 'Three tiers for every company size',
      monthly: '/month',
      hardware: 'Hardware',
      llm: 'AI Model',
      popular: 'Popular',
      features: 'Features',
    },
    howItWorks: {
      title: 'How It Works',
      subtitle: 'Compliance & code security in 4 steps',
      steps: [
        {
          title: 'Set Up Hardware',
          desc: 'Connect Mac Mini or Mac Studio in your server room. Plug & Play — scans your repositories from day one.',
        },
        {
          title: 'Connect Code Repos',
          desc: 'Connect Git repos, CI/CD pipelines and firmware projects. The local AI automatically scans for vulnerabilities and compliance gaps.',
        },
        {
          title: 'Automate Compliance & Security',
          desc: 'Continuous code analysis and risk assessments on every change. For critical fixes, the 1000B cloud LLM steps in and implements improvements.',
        },
        {
          title: 'Pass Audits',
          desc: 'Complete documentation for GDPR, AI Act, CRA and NIS2 at the push of a button. Risk assessments for your software included.',
        },
      ],
    },
    market: {
      title: 'Market Opportunity',
      subtitle: 'Machine manufacturing needs compliance & code security',
      tam: 'TAM',
      sam: 'SAM',
      som: 'SOM',
      tamLabel: 'Total Addressable Market',
      samLabel: 'Serviceable Addressable Market',
      somLabel: 'Serviceable Obtainable Market',
      source: 'Source',
      growth: 'Growth p.a.',
    },
    businessModel: {
      title: 'Business Model',
      subtitle: 'Recurring Revenue with Hardware Moat',
      unitEconomics: 'Unit Economics',
      amortization: 'Amortization',
      margin: 'Margin',
      months: 'months',
      recurringRevenue: 'Recurring Revenue',
      hardwareCost: 'Hardware Cost',
      operatingCost: 'Operating Cost',
    },
    traction: {
      title: 'Traction & Milestones',
      subtitle: 'Our progress so far',
      completed: 'Completed',
      inProgress: 'In Progress',
      planned: 'Planned',
    },
    competition: {
      title: 'Competition',
      subtitle: 'What differentiates us',
      feature: 'Feature',
      selfHosted: 'Self-Hosted',
      integratedAI: 'Integrated AI',
      autonomousSupport: 'Autonomous Support',
      yes: 'Yes',
      no: 'No',
      partial: 'Partial',
    },
    team: {
      title: 'The Team',
      subtitle: 'Founders with domain expertise',
      equity: 'Equity',
      expertise: 'Expertise',
    },
    financials: {
      title: 'Financial Projections',
      subtitle: 'AI-First cost structure — scales without linear headcount growth',
      revenue: 'Revenue',
      costs: 'Costs',
      customers: 'Customers',
      mrr: 'MRR',
      arr: 'ARR',
      burnRate: 'Burn Rate',
      employees: 'Employees',
      year: 'Year',
      sliderGrowth: 'Growth Rate',
      sliderChurn: 'Churn Rate',
      sliderArpu: 'ARPU',
      adjustAssumptions: 'Adjust Assumptions',
    },
    theAsk: {
      title: 'The Ask',
      subtitle: 'Pre-Seed Funding',
      amount: 'Funding',
      instrument: 'Instrument',
      useOfFunds: 'Use of Funds',
      engineering: 'Engineering',
      sales: 'Sales',
      hardware: 'Hardware',
      legal: 'Legal',
      reserve: 'Reserve',
      targetDate: 'Target Date',
    },
    aiqa: {
      title: 'Questions? The AI answers.',
      subtitle: 'Ask your investor questions — our AI agent responds with real data.',
      placeholder: 'Ask a question about the investment...',
      send: 'Send',
      thinking: 'Thinking...',
      suggestions: [
        'How does code security work for firmware?',
        'Why can\'t Proliance and DataGuard do this?',
        'What does the solution cost for a machine manufacturer?',
        'What does the risk assessment for our software look like?',
      ],
    },
    annex: {
      assumptions: {
        title: 'Assumptions & Sensitivity',
        subtitle: 'Three scenarios for robust planning',
      },
      architecture: {
        title: 'Technical Architecture',
        subtitle: 'Self-hosted AI stack for maximum data sovereignty',
      },
      gtm: {
        title: 'Go-to-Market Strategy',
        subtitle: 'From pilot to scalable sales',
      },
      regulatory: {
        title: 'Regulatory Details',
        subtitle: 'The four pillars of EU compliance for machine manufacturers',
      },
      engineering: {
        title: 'Engineering Deep Dive',
        subtitle: '691K Lines of Code \u00b7 45 Containers \u00b7 100% Self-Hosted',
      },
      aipipeline: {
        title: 'AI Pipeline Deep Dive',
        subtitle: 'RAG \u00b7 Multi-Agent System \u00b7 Document Intelligence \u00b7 Quality Assurance',
      },
    },
  },
}

export function t(lang: Language): typeof translations.de {
  return translations[lang]
}

export function formatEur(value: number, lang: Language): string {
  if (value >= 1_000_000_000) {
    const v = (value / 1_000_000_000).toFixed(1)
    return lang === 'de' ? `${v} Mrd. EUR` : `EUR ${v}B`
  }
  if (value >= 1_000_000) {
    const v = (value / 1_000_000).toFixed(1)
    return lang === 'de' ? `${v} Mio. EUR` : `EUR ${v}M`
  }
  if (value >= 1_000) {
    const v = (value / 1_000).toFixed(0)
    return lang === 'de' ? `${v}k EUR` : `EUR ${v}k`
  }
  return lang === 'de' ? `${value} EUR` : `EUR ${value}`
}

export function formatNumber(value: number): string {
  return new Intl.NumberFormat('de-DE').format(value)
}

export default translations