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breakpilot-compliance/admin-compliance/lib/sdk/scope-to-facts.ts
Benjamin Admin 5da93c5d10
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feat(regulations): Automatische Ableitung anwendbarer Gesetze & Aufsichtsbehoerden
Nach Abschluss von Profil + Scope werden jetzt automatisch die anwendbaren
Regulierungen (DSGVO, NIS2, AI Act, DORA) ermittelt und die zustaendigen
Aufsichtsbehoerden (Landes-DSB, BSI, BaFin) aus Bundesland + Branche abgeleitet.

- Neues scope-to-facts.ts: Mapping CompanyProfile+Scope → Go SDK Payload
- Neues supervisory-authority-resolver.ts: 16 Landes-DSB + nationale Behoerden
- ScopeDecisionTab: Regulierungs-Report mit Aufsichtsbehoerden-Karten
- Obligations-Seite: Echte Daten statt Dummy in handleAutoProfiling()
- Neue Types: ApplicableRegulation, RegulationAssessmentResult, SupervisoryAuthorityInfo

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-10 10:29:24 +01:00

221 lines
9.5 KiB
TypeScript

/**
* Scope-to-Facts Mapper
*
* Konvertiert CompanyProfile + ScopeProfilingAnswer[] + ScopeDecision
* in das Go AI SDK ScopeDecision-Format fuer POST /assess-from-scope.
*/
import type { CompanyProfile } from './types'
import type { ScopeProfilingAnswer, ScopeDecision } from './compliance-scope-types'
/**
* Payload-Format fuer den Go AI SDK /assess-from-scope Endpoint.
* Muss mit ucca.ScopeDecision in scope_facts_mapper.go uebereinstimmen.
*/
export interface ScopeDecisionPayload {
employee_count: number
annual_revenue: number
country: string
industry: string
legal_form: string
processes_personal_data: boolean
is_controller: boolean
is_processor: boolean
data_art9: boolean
data_minors: boolean
large_scale: boolean
systematic_monitoring: boolean
cross_border_transfer: boolean
uses_processors: boolean
automated_decisions: boolean
processes_employee_data: boolean
processes_health_data: boolean
processes_financial_data: boolean
uses_cookies: boolean
uses_tracking: boolean
uses_video_surveillance: boolean
operates_platform: boolean
platform_user_count: number
proc_ai_usage: boolean
is_ai_provider: boolean
is_ai_deployer: boolean
high_risk_ai: boolean
limited_risk_ai: boolean
sector: string
special_services: string[]
is_kritis: boolean
is_financial_institution: boolean
determined_level: string
triggered_rules: string[]
required_documents: string[]
cert_target: string
}
/**
* Konvertiert CompanyProfile + Scope-Daten in das Go SDK Payload-Format.
*/
export function buildAssessmentPayload(
profile: CompanyProfile,
scopeAnswers: ScopeProfilingAnswer[],
decision: ScopeDecision | null
): ScopeDecisionPayload {
const getBool = (questionId: string): boolean => getAnswerBool(scopeAnswers, questionId)
const getMulti = (questionId: string): string[] => getAnswerMulti(scopeAnswers, questionId)
const aiCategories = getMulti('ai_categories')
const isAIProvider = aiCategories.includes('ai_provider') || aiCategories.includes('ai_developer')
const isAIDeployer = aiCategories.includes('ai_deployer') || aiCategories.includes('ai_operator')
const aiRisk = getAnswerString(scopeAnswers, 'ai_risk_assessment')
const industry = Array.isArray(profile.industry) ? profile.industry.join(', ') : (profile.industry || '')
const isFinancial = industry.toLowerCase().includes('finanz') ||
industry.toLowerCase().includes('bank') ||
industry.toLowerCase().includes('versicherung') ||
industry.toLowerCase().includes('financial')
return {
employee_count: parseEmployeeRange(profile.employeeCount),
annual_revenue: parseRevenueRange(profile.annualRevenue),
country: profile.headquartersCountry || 'DE',
industry,
legal_form: profile.legalForm || '',
processes_personal_data: true, // Jedes Unternehmen im Tool verarbeitet personenbezogene Daten
is_controller: profile.isDataController ?? true,
is_processor: profile.isDataProcessor ?? false,
data_art9: getBool('data_art9'),
data_minors: getBool('data_minors'),
large_scale: parseEmployeeRange(profile.employeeCount) >= 250 || getBool('data_volume'),
systematic_monitoring: getBool('proc_employee_monitoring') || getBool('proc_video_surveillance'),
cross_border_transfer: getBool('tech_third_country'),
uses_processors: getBool('tech_subprocessors'),
automated_decisions: getBool('proc_adm_scoring'),
processes_employee_data: getBool('data_hr'),
processes_health_data: getBool('data_art9'),
processes_financial_data: getBool('data_financial'),
uses_cookies: getBool('prod_cookies_consent'),
uses_tracking: getBool('proc_tracking'),
uses_video_surveillance: getBool('proc_video_surveillance'),
operates_platform: (profile.offerings || []).some(o =>
o === 'software_saas' || o === 'app_web' || o === 'app_mobile'
),
platform_user_count: parseCustomerCount(scopeAnswers),
proc_ai_usage: getBool('ai_uses_ai'),
is_ai_provider: isAIProvider,
is_ai_deployer: isAIDeployer,
high_risk_ai: aiRisk === 'high' || aiRisk === 'unacceptable',
limited_risk_ai: aiRisk === 'limited',
sector: mapIndustryToSector(industry),
special_services: [],
is_kritis: false, // Kann spaeter aus Branche abgeleitet werden
is_financial_institution: isFinancial,
determined_level: decision?.determinedLevel || 'L2',
triggered_rules: decision?.triggeredHardTriggers?.map(t => t.rule.id) || [],
required_documents: decision?.requiredDocuments?.map(d => d.documentType) || [],
cert_target: getAnswerString(scopeAnswers, 'org_cert_target'),
}
}
// =============================================================================
// Hilfsfunktionen
// =============================================================================
/** Liest eine boolean-Antwort aus den Scope-Antworten */
function getAnswerBool(answers: ScopeProfilingAnswer[], questionId: string): boolean {
const answer = answers.find(a => a.questionId === questionId)
if (!answer) return false
if (typeof answer.value === 'boolean') return answer.value
if (typeof answer.value === 'string') return answer.value === 'true' || answer.value === 'yes' || answer.value === 'ja'
if (Array.isArray(answer.value)) return answer.value.length > 0
return false
}
/** Liest eine Multi-Select-Antwort aus den Scope-Antworten */
function getAnswerMulti(answers: ScopeProfilingAnswer[], questionId: string): string[] {
const answer = answers.find(a => a.questionId === questionId)
if (!answer) return []
if (Array.isArray(answer.value)) return answer.value as string[]
if (typeof answer.value === 'string') return [answer.value]
return []
}
/** Liest einen String-Wert aus den Scope-Antworten */
function getAnswerString(answers: ScopeProfilingAnswer[], questionId: string): string {
const answer = answers.find(a => a.questionId === questionId)
if (!answer) return ''
if (typeof answer.value === 'string') return answer.value
if (Array.isArray(answer.value)) return answer.value[0] || ''
return String(answer.value)
}
/**
* Konvertiert Mitarbeiter-Range-String in einen numerischen Wert (Mittelwert).
* "1-9" → 5, "10-49" → 30, "50-249" → 150, "250-999" → 625, "1000+" → 1500
*/
export function parseEmployeeRange(range: string | undefined | null): number {
if (!range) return 10
const r = range.trim()
if (r.includes('1000') || r.includes('+')) return 1500
if (r.includes('250')) return 625
if (r.includes('50')) return 150
if (r.includes('10')) return 30
return 5
}
/**
* Konvertiert Umsatz-Range-String in einen numerischen Wert.
* "< 2 Mio" → 1000000, "2-10 Mio" → 6000000, "10-50 Mio" → 30000000, "> 50 Mio" → 75000000
*/
export function parseRevenueRange(range: string | undefined | null): number {
if (!range) return 1000000
const r = range.trim().toLowerCase()
if (r.includes('> 50') || r.includes('>50')) return 75000000
if (r.includes('10-50') || r.includes('10 -')) return 30000000
if (r.includes('2-10') || r.includes('2 -')) return 6000000
return 1000000
}
/** Liest die Kundenzahl aus den Scope-Antworten */
function parseCustomerCount(answers: ScopeProfilingAnswer[]): number {
const answer = answers.find(a => a.questionId === 'org_customer_count')
if (!answer) return 0
if (typeof answer.value === 'number') return answer.value
const str = String(answer.value)
const match = str.match(/\d+/)
return match ? parseInt(match[0], 10) : 0
}
/**
* Mappt deutsche Branchenbezeichnungen auf Go SDK Sektor-IDs.
* Diese Sektoren werden fuer NIS2 Annex I/II Pruefung verwendet.
*/
function mapIndustryToSector(industry: string): string {
const lower = industry.toLowerCase()
// NIS2 Annex I — "Essential" Sektoren
if (lower.includes('energie') || lower.includes('energy')) return 'energy'
if (lower.includes('transport') || lower.includes('logistik')) return 'transport'
if (lower.includes('bank') || lower.includes('finanz') || lower.includes('financial')) return 'banking'
if (lower.includes('versicherung') || lower.includes('insurance')) return 'financial_market'
if (lower.includes('gesundheit') || lower.includes('health') || lower.includes('pharma')) return 'health'
if (lower.includes('wasser') || lower.includes('water')) return 'drinking_water'
if (lower.includes('digital') || lower.includes('cloud') || lower.includes('hosting') || lower.includes('rechenzent')) return 'digital_infrastructure'
if (lower.includes('telekommunikation') || lower.includes('telecom')) return 'digital_infrastructure'
// NIS2 Annex II — "Important" Sektoren
if (lower.includes('it') || lower.includes('software') || lower.includes('technologie')) return 'ict_service_management'
if (lower.includes('lebensmittel') || lower.includes('food')) return 'food'
if (lower.includes('chemie') || lower.includes('chemical')) return 'chemicals'
if (lower.includes('forschung') || lower.includes('research')) return 'research'
if (lower.includes('post') || lower.includes('kurier')) return 'postal'
if (lower.includes('abfall') || lower.includes('waste')) return 'waste_management'
if (lower.includes('fertigung') || lower.includes('manufactur') || lower.includes('produktion')) return 'manufacturing'
// Fallback
if (lower.includes('handel') || lower.includes('retail') || lower.includes('e-commerce')) return 'digital_providers'
if (lower.includes('beratung') || lower.includes('consulting')) return 'ict_service_management'
if (lower.includes('bildung') || lower.includes('education')) return 'research'
if (lower.includes('medien') || lower.includes('media')) return 'digital_providers'
return 'other'
}