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Die "Korpus-Dokumente"-Tabelle wird nach Dokument-Art geordnet (Gesetze & Verordnungen → Behörden-Leitfäden → Standards & Best Practice → Rechtsprechung) mit Zwischenüberschriften, und je Herausgeber-Familie zusammengefasst (alle DSK, alle EDPB, alle OWASP/NIST/ENISA gemeinsam). Deterministischer Kategorisierer (categorizeCorpusDoc) + Grouper (groupCorpusDocs), pure + unit-getestet. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
172 lines
5.8 KiB
TypeScript
172 lines
5.8 KiB
TypeScript
import { describe, it, expect } from 'vitest'
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import {
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licenseTierBadgeClass,
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commercialBadgeClass,
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groupUseCases,
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provenanceLabel,
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provenanceBadgeClass,
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splitByTier,
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severityBadgeClass,
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addresseeLabel,
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categorizeCorpusDoc,
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groupCorpusDocs,
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type UseCaseRow,
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type ControlItem,
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type CorpusDoc,
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} from './_helpers'
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const doc = (src: string, n = 1): CorpusDoc => ({
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source_regulation: src,
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license_rule: 1,
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license_tier: 't',
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atom_count: n,
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use_case: null,
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})
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const ctrl = (over: Partial<ControlItem>): ControlItem => ({
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id: 'id',
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title: 'T',
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relevant: true,
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tier: 'core',
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source_type: 'derived',
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applicable: true,
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is_gov: false,
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...over,
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})
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const uc = (over: Partial<UseCaseRow>): UseCaseRow => ({
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key: 'x',
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label: 'X',
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group: 'security',
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regulations: [],
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verification_methods: [],
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mapped_controls: 0,
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atom_total: 0,
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atom_relevant: 0,
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...over,
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})
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describe('coverage helpers', () => {
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it('license tier badge classes', () => {
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expect(licenseTierBadgeClass(1)).toContain('green')
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expect(licenseTierBadgeClass(2)).toContain('blue')
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expect(licenseTierBadgeClass(3)).toContain('amber')
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expect(licenseTierBadgeClass(null)).toContain('gray')
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})
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it('commercial-use badge classes', () => {
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expect(commercialBadgeClass('allowed')).toContain('green')
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expect(commercialBadgeClass('restricted')).toContain('amber')
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expect(commercialBadgeClass('prohibited')).toContain('red')
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expect(commercialBadgeClass(null)).toContain('gray')
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})
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it('groups use-cases in stable order and sorts by relevant desc', () => {
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const groups = groupUseCases([
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uc({ key: 'a', group: 'security', atom_relevant: 5 }),
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uc({ key: 'b', group: 'security', atom_relevant: 15 }),
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uc({ key: 'c', group: 'document', atom_relevant: 1 }),
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])
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expect(groups[0].group).toBe('document')
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expect(groups[1].group).toBe('security')
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expect(groups[1].rows[0].key).toBe('b')
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expect(groups[1].rows[1].key).toBe('a')
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})
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it('appends unknown groups after the known order', () => {
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const groups = groupUseCases([
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uc({ key: 'z', group: 'mystery', atom_relevant: 9 }),
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uc({ key: 'd', group: 'document', atom_relevant: 2 }),
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])
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expect(groups.map((g) => g.group)).toEqual(['document', 'mystery'])
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})
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it('provenance label: own library vs derived (with document + article)', () => {
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expect(provenanceLabel(ctrl({ source_type: 'own_library' }))).toBe(
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'Eigene Bibliothek',
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)
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expect(
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provenanceLabel(
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ctrl({ source_type: 'derived', source_regulation: 'DSGVO' }),
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),
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).toBe('Abgeleitet · DSGVO')
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expect(
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provenanceLabel(
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ctrl({
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source_type: 'derived',
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source_regulation: 'DSGVO',
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source_article: 'Art. 30',
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}),
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),
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).toBe('Abgeleitet · DSGVO Art. 30')
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// derived but no document known → graceful fallback
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expect(provenanceLabel(ctrl({ source_type: 'derived' }))).toBe('Abgeleitet')
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})
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it('provenance + severity badge classes', () => {
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expect(provenanceBadgeClass('own_library')).toContain('amber')
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expect(provenanceBadgeClass('derived')).toContain('blue')
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expect(severityBadgeClass('critical')).toContain('red')
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expect(severityBadgeClass('high')).toContain('orange')
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expect(severityBadgeClass(null)).toContain('gray')
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})
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it('addressee label maps keys to German labels', () => {
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expect(addresseeLabel('oeffentliche_stelle')).toBe('Öffentliche Stelle')
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expect(addresseeLabel('aufsichtsbefugnis')).toBe('Aufsichtsbehörde')
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expect(addresseeLabel('staat_eu')).toBe('Mitgliedstaat/EU')
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expect(addresseeLabel(null)).toBe('')
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expect(addresseeLabel('unbekannt_neu')).toBe('unbekannt_neu')
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})
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it('categorizes corpus docs by type + issuer family', () => {
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expect(categorizeCorpusDoc('DSGVO (EU) 2016/679').cat.key).toBe('law')
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expect(categorizeCorpusDoc('Medizinprodukteverordnung (EU) 2017/745 (MDR)').cat.key).toBe('law')
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expect(categorizeCorpusDoc('DSK OH Telemedien')).toMatchObject({
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cat: { key: 'guidance' },
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family: 'DSK (Datenschutzkonferenz)',
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})
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expect(categorizeCorpusDoc('EDPB Fines Calculation')).toMatchObject({
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cat: { key: 'guidance' },
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family: 'EDPB',
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})
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expect(categorizeCorpusDoc('OWASP Top 10 (2021)')).toMatchObject({
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cat: { key: 'standard' },
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family: 'OWASP',
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})
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expect(categorizeCorpusDoc('NIST SP 800-53 Rev. 5').family).toBe('NIST')
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expect(categorizeCorpusDoc('ENISA NIS2 Security Measures').family).toBe('ENISA')
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expect(categorizeCorpusDoc('BGH I ZR 7/16').cat.key).toBe('court')
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})
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it('groups corpus docs: laws → guidance → standards → court, families clustered', () => {
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const groups = groupCorpusDocs([
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doc('OWASP Top 10', 10),
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doc('DSGVO (EU) 2016/679', 50),
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doc('DSK OH Telemedien', 5),
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doc('EDPB Fines', 8),
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doc('NIST SP 800-53', 20),
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doc('DSK OH Direktwerbung', 3),
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doc('BGH I ZR 7/16', 1),
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])
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expect(groups.map((g) => g.key)).toEqual(['law', 'guidance', 'standard', 'court'])
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const guidance = groups.find((g) => g.key === 'guidance')!
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// two DSK docs collapse into one family
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const dsk = guidance.families.find((f) => f.family.startsWith('DSK'))!
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expect(dsk.docs.length).toBe(2)
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const std = groups.find((g) => g.key === 'standard')!
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// NIST (20) before OWASP (10) — families sorted by size desc
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expect(std.families.map((f) => f.family)).toEqual(['NIST', 'OWASP'])
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})
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it('splitByTier separates core (relevant) from review', () => {
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const { core, review } = splitByTier([
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ctrl({ id: 'a', relevant: true }),
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ctrl({ id: 'b', relevant: false, tier: 'review' }),
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ctrl({ id: 'c', relevant: true }),
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])
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expect(core.map((c) => c.id)).toEqual(['a', 'c'])
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expect(review.map((c) => c.id)).toEqual(['b'])
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})
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})
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