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- /fotos/encontre + POST /api/fotos/selfie: só o vetor 128-d, sem imagem, sem score e sem nomes de terceiros; fail-closed pela flag photoAlbum.selfieSearchEnabled (default false) e pelos Consents por chave estável (busca-selfie-fotos/busca-selfie-indice, não seedados — a superfície nasce fechada até o aval jurídico/DPIA). - Índice A/C do gate (PR #1370): só quem aderiu é indexado; descriptors do acervo são transitórios. Collection faceSubject (admin-only, sem vínculo com Contact), vínculos matchedPhotos e marker faces.checkedKey no archivePhoto (modelo + enrolledAt). - Engine @vladmandic/face-api nos dois lados: browser lazy com modelos same-origin (copy-face-vision-assets no prebuild/predev/Docker) e CLI node-wasm sem tfjs-node. CLIs ops-only faces:enroll / faces:index --apply|--verify com guardas C231/C232. - Opt-out self-service por reconhecimento (leave-index) + canal de remoção do C233; rate limit próprio (namespace selfie:<hash>) e bounded body extraído do beacon. - UI portada classe-a-classe do design estendido (paridade certificada, tier primário); e2e frontendFotosSelfie (manifest+curado+projeto, engine stubada) e canário do engine real; runbook §C234, contrato em AGENTS-public.md e changelog. - Migration aditiva add_face_subject (SQL revisado); hard-stops aprovados na sessão.
180 lines
6.6 KiB
TypeScript
180 lines
6.6 KiB
TypeScript
// @vitest-environment node
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import { describe, expect, it } from 'vitest'
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import type { ArchivePhotoPublicItem } from '@/lib/archivePhotoPublicCatalog'
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import {
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FACE_SEARCH_DESCRIPTOR_LENGTH,
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FACE_SEARCH_MAX_DISTANCE,
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FACE_SEARCH_MODEL,
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faceEuclideanDistance,
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faceStubDescriptorFromBytes,
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faceSubjectIsEligible,
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findFaceMatch,
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readFaceVector,
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toFaceSearchPhotoView,
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} from '@/lib/faceSearch'
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// C234 — the pure contract of the selfie search: vector validation, the
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// euclidean math, the eligibility of an enrolled subject and the result view
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// model that by shape cannot carry a score or a third-party name.
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const vectorOf = (value: number, length = FACE_SEARCH_DESCRIPTOR_LENGTH): number[] =>
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Array.from({ length }, () => value)
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const subjectOf = (
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overrides: Partial<{
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id: number
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status: string
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model: string
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consentHash: string | null
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vector: unknown
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}> = {},
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) => ({
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id: 1,
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status: 'active',
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model: FACE_SEARCH_MODEL,
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consentHash: 'hash-atual',
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vector: vectorOf(0),
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...overrides,
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})
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describe('readFaceVector', () => {
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it('accepts exactly the descriptor length of finite numbers', () => {
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expect(readFaceVector(vectorOf(0.25))).toHaveLength(FACE_SEARCH_DESCRIPTOR_LENGTH)
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})
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it('fails closed on anything else', () => {
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expect(readFaceVector(null)).toBeNull()
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expect(readFaceVector('vector')).toBeNull()
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expect(readFaceVector([1, 2, 3])).toBeNull()
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expect(readFaceVector(vectorOf(0).slice(1))).toBeNull()
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expect(readFaceVector([...vectorOf(0).slice(1), Number.NaN])).toBeNull()
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expect(readFaceVector([...vectorOf(0).slice(1), Number.POSITIVE_INFINITY])).toBeNull()
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expect(readFaceVector([...vectorOf(0).slice(1), '1'])).toBeNull()
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})
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})
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describe('faceEuclideanDistance', () => {
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it('is the plain euclidean distance of same-length descriptors', () => {
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expect(faceEuclideanDistance([0, 0], [0, 0])).toBe(0)
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expect(faceEuclideanDistance([0, 0], [3, 4])).toBe(5)
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})
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it('is Infinity when the descriptors cannot be compared', () => {
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expect(faceEuclideanDistance([0, 0], [0])).toBe(Number.POSITIVE_INFINITY)
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expect(faceEuclideanDistance([], [])).toBe(Number.POSITIVE_INFINITY)
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})
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})
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describe('faceSubjectIsEligible', () => {
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const current = { model: FACE_SEARCH_MODEL, consentHash: 'hash-atual' }
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it('requires active status, the current model and the current consent hash', () => {
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expect(faceSubjectIsEligible(subjectOf(), current)).toBe(true)
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expect(faceSubjectIsEligible(subjectOf({ status: 'removed' }), current)).toBe(false)
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expect(faceSubjectIsEligible(subjectOf({ model: 'outro-modelo' }), current)).toBe(false)
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expect(faceSubjectIsEligible(subjectOf({ consentHash: 'hash-antigo' }), current)).toBe(false)
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expect(faceSubjectIsEligible(subjectOf({ consentHash: null }), current)).toBe(false)
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})
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})
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describe('findFaceMatch', () => {
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const current = { model: FACE_SEARCH_MODEL, consentHash: 'hash-atual' }
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it('returns the closest eligible subject strictly under the threshold', () => {
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const far = subjectOf({ id: 1, vector: [...vectorOf(0).slice(1), 1] })
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const near = subjectOf({ id: 2, vector: [...vectorOf(0).slice(1), 0.1] })
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const match = findFaceMatch({
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vector: vectorOf(0),
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subjects: [far, near],
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...current,
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})
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expect(match?.id).toBe(2)
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})
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it('ignores ineligible subjects and subjects with a malformed vector', () => {
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const removed = subjectOf({ id: 1, status: 'removed', vector: vectorOf(0) })
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const staleModel = subjectOf({ id: 2, model: 'outro', vector: vectorOf(0) })
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const staleConsent = subjectOf({ id: 3, consentHash: 'antigo', vector: vectorOf(0) })
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const broken = subjectOf({ id: 4, vector: [1, 2, 3] })
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const eligible = subjectOf({ id: 5, vector: vectorOf(0) })
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const match = findFaceMatch({
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vector: vectorOf(0),
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subjects: [removed, staleModel, staleConsent, broken, eligible],
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...current,
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})
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expect(match?.id).toBe(5)
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})
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it('never matches at or beyond the threshold and answers null when nothing is close', () => {
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const atThreshold = subjectOf({
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id: 1,
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vector: [...vectorOf(0).slice(1), FACE_SEARCH_MAX_DISTANCE],
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})
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expect(findFaceMatch({ vector: vectorOf(0), subjects: [atThreshold], ...current })).toBeNull()
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const far = subjectOf({
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id: 2,
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vector: [...vectorOf(0).slice(1), FACE_SEARCH_MAX_DISTANCE + 1],
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})
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expect(findFaceMatch({ vector: vectorOf(0), subjects: [far], ...current })).toBeNull()
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expect(findFaceMatch({ vector: vectorOf(0), subjects: [], ...current })).toBeNull()
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})
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})
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describe('toFaceSearchPhotoView', () => {
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const item: ArchivePhotoPublicItem = {
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id: 7,
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alt: 'Plenária na Câmara',
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title: 'Plenária pela saúde',
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takenOn: '2026-09-12T12:00:00.000Z',
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dateLabel: '12 de setembro de 2026',
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shortDateLabel: '12 set 2026',
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municipalityName: 'Feira de Santana',
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municipalitySlug: 'feira-de-santana',
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scene: 'plenaria',
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sceneLabel: 'Plenária',
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people: ['Jorge Solla', 'Outra Pessoa'],
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peopleLabel: 'Jorge Solla e Outra Pessoa',
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metaLabel: '12 set 2026 · Feira de Santana · Plenária',
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searchText: 'plenaria feira de santana',
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thumbnailPath: '/fotos/7/midia?tamanho=grade',
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mediaPath: '/fotos/7/midia',
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downloadPath: '/fotos/7/midia?download=1',
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downloadFilename: 'jorge-solla-1313-foto-7.jpg',
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}
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it('carries the photo context but never third-party names', () => {
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const view = toFaceSearchPhotoView(item) as Record<string, unknown>
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expect(view.id).toBe(7)
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expect(view.title).toBe('Plenária pela saúde')
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expect(view.metaLabel).toBe('12 set 2026 · Feira de Santana · Plenária')
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expect(view.thumbnailPath).toBe('/fotos/7/midia?tamanho=grade')
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expect(view).not.toHaveProperty('people')
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expect(view).not.toHaveProperty('peopleLabel')
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expect(Object.keys(view).join(' ')).not.toMatch(/score|similar|distance|percent/i)
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})
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})
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describe('faceStubDescriptorFromBytes', () => {
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it('is deterministic, descriptor-sized and bounded', () => {
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const bytes = Uint8Array.from([1, 2, 3, 4, 5])
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const first = faceStubDescriptorFromBytes(bytes)
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const second = faceStubDescriptorFromBytes(bytes)
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expect(first).toHaveLength(FACE_SEARCH_DESCRIPTOR_LENGTH)
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expect(first).toEqual(second)
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expect(first.every((value) => value >= -1 && value <= 1)).toBe(true)
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})
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it('derives different descriptors for different bytes', () => {
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const a = faceStubDescriptorFromBytes(Uint8Array.from([1, 2, 3]))
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const b = faceStubDescriptorFromBytes(Uint8Array.from([3, 2, 1]))
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expect(a).not.toEqual(b)
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expect(faceEuclideanDistance(a, b)).toBeGreaterThan(FACE_SEARCH_MAX_DISTANCE)
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})
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})
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