1099 lines
63 KiB
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1099 lines
63 KiB
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<h1><a href="../../index.html">All files</a> / <a href="index.html">src/services</a> openai.ts</h1>
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<pre><table class="coverage">
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<tr><td class="line-count quiet"><a name='L1'></a><a href='#L1'>1</a>
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<span class="cline-any cline-neutral"> </span></td><td class="text"><pre class="prettyprint lang-js">/*
|
|
Mode OpenAI (fallback) pour 4NK IA Front
|
|
Utilise l'API OpenAI côté frontend uniquement à des fins de démonstration/dépannage quand le backend est indisponible.
|
|
*/
|
|
import type {
|
|
Document,
|
|
ExtractionResult,
|
|
AnalysisResult,
|
|
ContextResult,
|
|
ConseilResult,
|
|
} from '../types'
|
|
<span class="cstat-no" title="statement not covered" >import { extractTextFromFile } from './fileExtract'</span>
|
|
<span class="cstat-no" title="statement not covered" >import { runRuleNER } from './ruleNer'</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" >const OPENAI_API_KEY = import.meta.env.VITE_OPENAI_API_KEY</span>
|
|
<span class="cstat-no" title="statement not covered" >const OPENAI_BASE_URL = import.meta.env.VITE_OPENAI_BASE_URL || 'https://api.openai.com/v1'</span>
|
|
<span class="cstat-no" title="statement not covered" >const OPENAI_CHAT_MODEL = import.meta.env.VITE_OPENAI_MODEL || 'gpt-4o-mini'</span>
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|
|
|
<span class="cstat-no" title="statement not covered" >async function callOpenAIChat(messages: Array<{ role: 'system' | 'user' | 'assistant'; content: string }>): Promise<string> {</span>
|
|
<span class="cstat-no" title="statement not covered" > if (!OPENAI_API_KEY) {</span>
|
|
<span class="cstat-no" title="statement not covered" > throw new Error('Clé API OpenAI manquante (VITE_AI_API_KEY)')</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
|
|
// Log minimal masqué
|
|
<span class="cstat-no" title="statement not covered" > if (import.meta.env.DEV) {</span>
|
|
// eslint-disable-next-line no-console
|
|
<span class="cstat-no" title="statement not covered" > console.info('[LLM] Request chat.completions (mode AI distante activé)')</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > const response = await fetch(`${OPENAI_BASE_URL}/chat/completions`, {</span>
|
|
<span class="cstat-no" title="statement not covered" > method: 'POST',</span>
|
|
<span class="cstat-no" title="statement not covered" > headers: {</span>
|
|
<span class="cstat-no" title="statement not covered" > 'Content-Type': 'application/json',</span>
|
|
<span class="cstat-no" title="statement not covered" > Authorization: `Bearer ${OPENAI_API_KEY}`,</span>
|
|
<span class="cstat-no" title="statement not covered" > },</span>
|
|
<span class="cstat-no" title="statement not covered" > body: JSON.stringify({</span>
|
|
<span class="cstat-no" title="statement not covered" > model: OPENAI_CHAT_MODEL,</span>
|
|
<span class="cstat-no" title="statement not covered" > messages,</span>
|
|
<span class="cstat-no" title="statement not covered" > temperature: 0.2,</span>
|
|
<span class="cstat-no" title="statement not covered" > }),</span>
|
|
<span class="cstat-no" title="statement not covered" > })</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > if (!response.ok) {</span>
|
|
<span class="cstat-no" title="statement not covered" > if (import.meta.env.DEV) {</span>
|
|
// eslint-disable-next-line no-console
|
|
<span class="cstat-no" title="statement not covered" > console.warn('[LLM] Response error', response.status)</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > const text = await response.text()</span>
|
|
<span class="cstat-no" title="statement not covered" > throw new Error(`OpenAI error ${response.status}: ${text}`)</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > const data = await response.json()</span>
|
|
<span class="cstat-no" title="statement not covered" > if (import.meta.env.DEV) {</span>
|
|
// eslint-disable-next-line no-console
|
|
<span class="cstat-no" title="statement not covered" > console.info('[LLM] Response received')</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > return data.choices?.[0]?.message?.content || ''</span>
|
|
<span class="cstat-no" title="statement not covered" >}</span>
|
|
|
|
type ProgressHooks = { onOcrProgress?: (p: number) => void; onLlmProgress?: (p: number) => void }
|
|
|
|
<span class="cstat-no" title="statement not covered" >export const openaiDocumentApi = {</span>
|
|
<span class="cstat-no" title="statement not covered" > upload: async (file: File): Promise<Document> => {</span>
|
|
<span class="cstat-no" title="statement not covered" > const fileUrl = URL.createObjectURL(file)</span>
|
|
<span class="cstat-no" title="statement not covered" > return {</span>
|
|
<span class="cstat-no" title="statement not covered" > id: `openai-upload-${Date.now()}`,</span>
|
|
<span class="cstat-no" title="statement not covered" > name: file.name,</span>
|
|
<span class="cstat-no" title="statement not covered" > mimeType: file.type || 'application/octet-stream',</span>
|
|
<span class="cstat-no" title="statement not covered" > functionalType: undefined,</span>
|
|
<span class="cstat-no" title="statement not covered" > size: file.size,</span>
|
|
<span class="cstat-no" title="statement not covered" > uploadDate: new Date(),</span>
|
|
<span class="cstat-no" title="statement not covered" > status: 'completed',</span>
|
|
<span class="cstat-no" title="statement not covered" > previewUrl: fileUrl,</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > },</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > extract: async (documentId: string, file?: File, hooks?: ProgressHooks): Promise<ExtractionResult> => {</span>
|
|
<span class="cstat-no" title="statement not covered" > let localText = ''</span>
|
|
<span class="cstat-no" title="statement not covered" > if (file) {</span>
|
|
<span class="cstat-no" title="statement not covered" > try {</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks?.onOcrProgress?.(0)</span>
|
|
<span class="cstat-no" title="statement not covered" > localText = await extractTextFromFile(file)</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks?.onOcrProgress?.(1)</span>
|
|
<span class="cstat-no" title="statement not covered" > } catch {</span>
|
|
<span class="cstat-no" title="statement not covered" > localText = ''</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
// Flags de mode
|
|
<span class="cstat-no" title="statement not covered" > const useRuleNer = import.meta.env.VITE_USE_RULE_NER === 'true'</span>
|
|
<span class="cstat-no" title="statement not covered" > const classifyOnly = import.meta.env.VITE_LLM_CLASSIFY_ONLY === 'true'</span>
|
|
<span class="cstat-no" title="statement not covered" > const disableLLM = import.meta.env.VITE_DISABLE_LLM === 'true'</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > console.log('🔧 [CONFIG] Mode sans LLM activé:', {</span>
|
|
<span class="cstat-no" title="statement not covered" > useRuleNer,</span>
|
|
<span class="cstat-no" title="statement not covered" > classifyOnly,</span>
|
|
<span class="cstat-no" title="statement not covered" > disableLLM,</span>
|
|
<span class="cstat-no" title="statement not covered" > hasOpenAIKey: !!OPENAI_API_KEY</span>
|
|
<span class="cstat-no" title="statement not covered" > })</span>
|
|
|
|
// Si NER local actif, on l'utilise pour tout (identités/adresses/...) puis, si demandé,
|
|
// on peut consulter le LLM uniquement pour classifier le type de document
|
|
<span class="cstat-no" title="statement not covered" > if (useRuleNer) {</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('🚀 [OCR] Début de l\'extraction OCR locale...')</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('📄 [OCR] Texte à traiter:', localText.substring(0, 200) + '...')</span>
|
|
|
|
// Simuler la progression OCR de manière asynchrone pour éviter les boucles
|
|
<span class="cstat-no" title="statement not covered" > if (hooks?.onOcrProgress) {</span>
|
|
<span class="cstat-no" title="statement not covered" > setTimeout(() => {</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks.onOcrProgress?.(0.3)</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('⏳ [OCR] Progression: 30%')</span>
|
|
<span class="cstat-no" title="statement not covered" > }, 100)</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > setTimeout(() => {</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks.onOcrProgress?.(0.7)</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('⏳ [OCR] Progression: 70%')</span>
|
|
<span class="cstat-no" title="statement not covered" > }, 200)</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > setTimeout(() => {</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks.onOcrProgress?.(1)</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('✅ [OCR] Progression: 100% - Extraction terminée')</span>
|
|
<span class="cstat-no" title="statement not covered" > }, 300)</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > console.log('🔍 [NER] Début de l\'extraction par règles...')</span>
|
|
<span class="cstat-no" title="statement not covered" > let res = runRuleNER(documentId, localText)</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('📊 [NER] Résultats extraits:', {</span>
|
|
<span class="cstat-no" title="statement not covered" > documentType: res.documentType,</span>
|
|
<span class="cstat-no" title="statement not covered" > identitiesCount: res.identities.length,</span>
|
|
<span class="cstat-no" title="statement not covered" > addressesCount: res.addresses.length,</span>
|
|
<span class="cstat-no" title="statement not covered" > confidence: res.confidence</span>
|
|
<span class="cstat-no" title="statement not covered" > })</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > if (classifyOnly && OPENAI_API_KEY && localText && !disableLLM) {</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('🤖 [LLM] Classification LLM demandée...')</span>
|
|
<span class="cstat-no" title="statement not covered" > try {</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks?.onLlmProgress?.(0)</span>
|
|
<span class="cstat-no" title="statement not covered" > const cls = await callOpenAIChat([</span>
|
|
<span class="cstat-no" title="statement not covered" > { role: 'system', content: 'Tu es un classifieur. Retourne uniquement un JSON strict.' },</span>
|
|
<span class="cstat-no" title="statement not covered" > { role: 'user', content: `Classifie ce texte en une des catégories suivantes: [CNI, Facture, Attestation, Document]. Réponds strictement sous la forme {"documentType":"..."}.\nTexte:\n${localText.slice(0, 8000)}` },</span>
|
|
<span class="cstat-no" title="statement not covered" > ])</span>
|
|
<span class="cstat-no" title="statement not covered" > const parsed = JSON.parse(cls)</span>
|
|
<span class="cstat-no" title="statement not covered" > if (parsed && typeof parsed.documentType === 'string') {</span>
|
|
<span class="cstat-no" title="statement not covered" > res = { ...res, documentType: parsed.documentType }</span>
|
|
<span class="cstat-no" title="statement not covered" > res.confidenceReasons = [...(res.confidenceReasons || []), 'Classification LLM limitée au documentType']</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('✅ [LLM] Classification LLM terminée:', parsed.documentType)</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks?.onLlmProgress?.(1)</span>
|
|
<span class="cstat-no" title="statement not covered" > } catch (error) {</span>
|
|
<span class="cstat-no" title="statement not covered" > console.warn('⚠️ [LLM] Échec de la classification LLM:', error)</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks?.onLlmProgress?.(1)</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > } else {</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('🚫 [LLM] LLM désactivé - Mode 100% local')</span>
|
|
// Mode sans LLM : simuler la progression LLM de manière asynchrone
|
|
<span class="cstat-no" title="statement not covered" > if (hooks?.onLlmProgress) {</span>
|
|
<span class="cstat-no" title="statement not covered" > setTimeout(() => {</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks.onLlmProgress?.(0.5)</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('⏳ [LLM] Progression: 50%')</span>
|
|
<span class="cstat-no" title="statement not covered" > }, 400)</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > setTimeout(() => {</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks.onLlmProgress?.(1)</span>
|
|
<span class="cstat-no" title="statement not covered" > console.log('✅ [LLM] Progression: 100%')</span>
|
|
<span class="cstat-no" title="statement not covered" > }, 500)</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > console.log('🎉 [FINAL] Extraction complète terminée:', res)</span>
|
|
<span class="cstat-no" title="statement not covered" > return res</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > hooks?.onLlmProgress?.(0)</span>
|
|
// Si on demande uniquement la classification par LLM, ne demander que le type;
|
|
// sinon on demande la structuration complète (mode précédent)
|
|
<span class="cstat-no" title="statement not covered" > if (classifyOnly) {</span>
|
|
<span class="cstat-no" title="statement not covered" > try {</span>
|
|
<span class="cstat-no" title="statement not covered" > const cls = await callOpenAIChat([</span>
|
|
<span class="cstat-no" title="statement not covered" > { role: 'system', content: 'Tu es un classifieur. Retourne uniquement un JSON strict.' },</span>
|
|
<span class="cstat-no" title="statement not covered" > { role: 'user', content: `Classifie ce texte en une des catégories suivantes: [CNI, Facture, Attestation, Document]. Réponds strictement sous la forme {"documentType":"..."}.\nTexte:\n${localText.slice(0, 8000)}` },</span>
|
|
<span class="cstat-no" title="statement not covered" > ])</span>
|
|
<span class="cstat-no" title="statement not covered" > const parsed = JSON.parse(cls)</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks?.onLlmProgress?.(1)</span>
|
|
<span class="cstat-no" title="statement not covered" > return {</span>
|
|
<span class="cstat-no" title="statement not covered" > documentId,</span>
|
|
<span class="cstat-no" title="statement not covered" > text: localText || '',</span>
|
|
<span class="cstat-no" title="statement not covered" > language: 'fr',</span>
|
|
<span class="cstat-no" title="statement not covered" > documentType: (parsed && parsed.documentType) || 'Document',</span>
|
|
<span class="cstat-no" title="statement not covered" > identities: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > addresses: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > properties: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > contracts: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > signatures: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > confidence: 0.6,</span>
|
|
<span class="cstat-no" title="statement not covered" > confidenceReasons: ['Classification LLM sans contexte, pas d\'extraction d\'identités'],</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > } catch {</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks?.onLlmProgress?.(1)</span>
|
|
<span class="cstat-no" title="statement not covered" > return {</span>
|
|
<span class="cstat-no" title="statement not covered" > documentId,</span>
|
|
<span class="cstat-no" title="statement not covered" > text: localText || '',</span>
|
|
<span class="cstat-no" title="statement not covered" > language: 'fr',</span>
|
|
<span class="cstat-no" title="statement not covered" > documentType: 'Document',</span>
|
|
<span class="cstat-no" title="statement not covered" > identities: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > addresses: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > properties: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > contracts: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > signatures: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > confidence: 0.6,</span>
|
|
<span class="cstat-no" title="statement not covered" > confidenceReasons: ['Classification LLM échouée, valeur par défaut'],</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > const content = await callOpenAIChat([</span>
|
|
<span class="cstat-no" title="statement not covered" > {</span>
|
|
<span class="cstat-no" title="statement not covered" > role: 'system',</span>
|
|
<span class="cstat-no" title="statement not covered" > content:</span>
|
|
<span class="cstat-no" title="statement not covered" > 'Tu extrais uniquement les informations présentes dans le texte OCR. Interdiction d\'inventer. Interdiction d\'utiliser le nom du fichier comme identité. Réponds en JSON strict, sans texte autour.',</span>
|
|
<span class="cstat-no" title="statement not covered" > },</span>
|
|
<span class="cstat-no" title="statement not covered" > {</span>
|
|
<span class="cstat-no" title="statement not covered" > role: 'user',</span>
|
|
<span class="cstat-no" title="statement not covered" > content: `Document ID: ${documentId}. Texte OCR (tronqué): ${localText.slice(0, 8000)}\nRègles: 1) ne pas inventer, 2) si incertitude, laisser vide, 3) ne JAMAIS utiliser le nom du fichier comme identité. Schéma JSON: {"language":"fr","documentType":"...","identities":[{"id":"id-1","type":"person","firstName":"...","lastName":"...","confidence":0.9}],"addresses":[{"street":"...","city":"...","postalCode":"...","country":"..."}],"properties":[{"id":"prop-1","type":"apartment","address":{"street":"...","city":"...","postalCode":"...","country":"..."},"surface":75}],"contracts":[{"id":"contract-1","type":"sale","parties":[],"amount":0,"date":"YYYY-MM-DD","clauses":["..."]}],"signatures":[],"confidence":0.7,"confidenceReasons":["sources présentes dans le texte"]}`,</span>
|
|
<span class="cstat-no" title="statement not covered" > },</span>
|
|
<span class="cstat-no" title="statement not covered" > ])</span>
|
|
// Essaye d'analyser le JSON, sinon fallback heuristique
|
|
<span class="cstat-no" title="statement not covered" > try {</span>
|
|
<span class="cstat-no" title="statement not covered" > const parsed = JSON.parse(content)</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks?.onLlmProgress?.(1)</span>
|
|
// Post-traitement: filtrage des identités qui ressemblent au nom de fichier
|
|
<span class="cstat-no" title="statement not covered" > const docBase = (file?.name || '').toLowerCase().replace(/\.[a-z0-9]+$/, '')</span>
|
|
<span class="cstat-no" title="statement not covered" > const safeIdentities = (parsed.identities || []).filter((it: any) => {</span>
|
|
<span class="cstat-no" title="statement not covered" > const full = `${it.firstName || ''} ${it.lastName || ''}`.trim().toLowerCase()</span>
|
|
<span class="cstat-no" title="statement not covered" > return full && !docBase || (full && !docBase.includes(full) && !full.includes(docBase))</span>
|
|
<span class="cstat-no" title="statement not covered" > })</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > return {</span>
|
|
<span class="cstat-no" title="statement not covered" > documentId,</span>
|
|
<span class="cstat-no" title="statement not covered" > text: localText || '',</span>
|
|
<span class="cstat-no" title="statement not covered" > language: parsed.language || 'fr',</span>
|
|
<span class="cstat-no" title="statement not covered" > documentType: parsed.documentType || 'Document',</span>
|
|
<span class="cstat-no" title="statement not covered" > identities: safeIdentities,</span>
|
|
<span class="cstat-no" title="statement not covered" > addresses: parsed.addresses || [],</span>
|
|
<span class="cstat-no" title="statement not covered" > properties: parsed.properties || [],</span>
|
|
<span class="cstat-no" title="statement not covered" > contracts: parsed.contracts || [],</span>
|
|
<span class="cstat-no" title="statement not covered" > signatures: parsed.signatures || [],</span>
|
|
<span class="cstat-no" title="statement not covered" > confidence: Math.round((typeof parsed.confidence === 'number' ? parsed.confidence : 0.7) * 100) / 100,</span>
|
|
<span class="cstat-no" title="statement not covered" > confidenceReasons: parsed.confidenceReasons || [],</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > } catch {</span>
|
|
<span class="cstat-no" title="statement not covered" > hooks?.onLlmProgress?.(1)</span>
|
|
<span class="cstat-no" title="statement not covered" > const lowered = (localText || '').toLowerCase()</span>
|
|
<span class="cstat-no" title="statement not covered" > let documentType = 'Document'</span>
|
|
<span class="cstat-no" title="statement not covered" > const reasons: string[] = []</span>
|
|
<span class="cstat-no" title="statement not covered" > if (/carte\s+nationale\s+d'identité|cni|national id/.test(lowered)) {</span>
|
|
<span class="cstat-no" title="statement not covered" > documentType = 'CNI'</span>
|
|
<span class="cstat-no" title="statement not covered" > reasons.push('Mots-clés CNI détectés')</span>
|
|
<span class="cstat-no" title="statement not covered" > } else if (/facture|invoice|amount|tva|siren/.test(lowered)) {</span>
|
|
<span class="cstat-no" title="statement not covered" > documentType = 'Facture'</span>
|
|
<span class="cstat-no" title="statement not covered" > reasons.push('Mots-clés facture détectés')</span>
|
|
<span class="cstat-no" title="statement not covered" > } else if (/attestation|certificat/.test(lowered)) {</span>
|
|
<span class="cstat-no" title="statement not covered" > documentType = 'Attestation'</span>
|
|
<span class="cstat-no" title="statement not covered" > reasons.push('Mots-clés attestation détectés')</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > return {</span>
|
|
<span class="cstat-no" title="statement not covered" > documentId,</span>
|
|
<span class="cstat-no" title="statement not covered" > text: localText || 'Contenu résumé non disponible.',</span>
|
|
<span class="cstat-no" title="statement not covered" > language: 'fr',</span>
|
|
<span class="cstat-no" title="statement not covered" > documentType,</span>
|
|
<span class="cstat-no" title="statement not covered" > identities: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > addresses: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > properties: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > contracts: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > signatures: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > confidence: 0.7,</span>
|
|
<span class="cstat-no" title="statement not covered" > confidenceReasons: reasons,</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > },</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > analyze: async (documentId: string): Promise<AnalysisResult> => {</span>
|
|
<span class="cstat-no" title="statement not covered" > const result = await callOpenAIChat([</span>
|
|
<span class="cstat-no" title="statement not covered" > { role: 'system', content: 'Tu fournis une analyse brève et des risques potentiels.' },</span>
|
|
<span class="cstat-no" title="statement not covered" > { role: 'user', content: `Analyse le document ${documentId} et fournis un résumé des risques.` },</span>
|
|
<span class="cstat-no" title="statement not covered" > ])</span>
|
|
<span class="cstat-no" title="statement not covered" > const isCNI = /cni|carte\s+nationale\s+d'identité/i.test(result || '')</span>
|
|
<span class="cstat-no" title="statement not covered" > const number = (result || '').match(/[A-Z0-9]{12,}/)?.[0] || ''</span>
|
|
<span class="cstat-no" title="statement not covered" > const formatValid = /^[A-Z0-9]{12,}$/.test(number)</span>
|
|
<span class="cstat-no" title="statement not covered" > const checksumValid = pseudoChecksum(number)</span>
|
|
<span class="cstat-no" title="statement not covered" > const numberValid = formatValid && checksumValid</span>
|
|
<span class="cstat-no" title="statement not covered" > return {</span>
|
|
<span class="cstat-no" title="statement not covered" > documentId,</span>
|
|
<span class="cstat-no" title="statement not covered" > documentType: isCNI ? 'CNI' : 'Document',</span>
|
|
<span class="cstat-no" title="statement not covered" > isCNI,</span>
|
|
<span class="cstat-no" title="statement not covered" > verificationResult: isCNI</span>
|
|
<span class="cstat-no" title="statement not covered" > ? { numberValid, formatValid, checksumValid }</span>
|
|
<span class="cstat-no" title="statement not covered" > : undefined,</span>
|
|
<span class="cstat-no" title="statement not covered" > credibilityScore: isCNI ? (numberValid ? 0.8 : 0.6) : 0.6,</span>
|
|
<span class="cstat-no" title="statement not covered" > summary: result || 'Analyse indisponible.',</span>
|
|
<span class="cstat-no" title="statement not covered" > recommendations: [],</span>
|
|
<span class="cstat-no" title="statement not covered" > confidenceReasons: isCNI</span>
|
|
<span class="cstat-no" title="statement not covered" > ? [</span>
|
|
<span class="cstat-no" title="statement not covered" > formatValid ? 'Format du numéro plausible' : 'Format du numéro invalide',</span>
|
|
<span class="cstat-no" title="statement not covered" > checksumValid ? 'Checksum plausible' : 'Checksum invalide',</span>
|
|
<span class="cstat-no" title="statement not covered" > ]</span>
|
|
<span class="cstat-no" title="statement not covered" > : ['Analyse préliminaire via modèle'],</span>
|
|
<span class="cstat-no" title="statement not covered" > }</span>
|
|
<span class="cstat-no" title="statement not covered" > },</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > getContext: async (documentId: string): Promise<ContextResult> => {</span>
|
|
<span class="cstat-no" title="statement not covered" > return { documentId, lastUpdated: new Date(), georisquesData: {}, cadastreData: {} }</span>
|
|
<span class="cstat-no" title="statement not covered" > },</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > getConseil: async (documentId: string): Promise<ConseilResult> => {</span>
|
|
<span class="cstat-no" title="statement not covered" > const conseil = await callOpenAIChat([</span>
|
|
<span class="cstat-no" title="statement not covered" > { role: 'system', content: 'Tu fournis des conseils opérationnels courts et concrets.' },</span>
|
|
<span class="cstat-no" title="statement not covered" > { role: 'user', content: `Donne 3 conseils actionnables pour le document ${documentId}.` },</span>
|
|
<span class="cstat-no" title="statement not covered" > ])</span>
|
|
<span class="cstat-no" title="statement not covered" > return { documentId, analysis: conseil || '', recommendations: conseil ? [conseil] : [], risks: [], nextSteps: [], generatedAt: new Date() }</span>
|
|
<span class="cstat-no" title="statement not covered" > },</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" > detectType: async (_file: File): Promise<{ type: string; confidence: number }> => {</span>
|
|
<span class="cstat-no" title="statement not covered" > return { type: 'Document', confidence: 0.6 }</span>
|
|
<span class="cstat-no" title="statement not covered" > },</span>
|
|
<span class="cstat-no" title="statement not covered" >}</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" >export const openaiExternalApi = {</span>
|
|
<span class="cstat-no" title="statement not covered" > cadastre: async (_address: string) => ({ note: 'Mode OpenAI: contexte non connecté' }),</span>
|
|
<span class="cstat-no" title="statement not covered" > georisques: async (_coordinates: { lat: number; lng: number }) => ({ note: 'Mode OpenAI: contexte non connecté' }),</span>
|
|
<span class="cstat-no" title="statement not covered" > geofoncier: async (_address: string) => ({ note: 'Mode OpenAI: contexte non connecté' }),</span>
|
|
<span class="cstat-no" title="statement not covered" > bodacc: async (_companyName: string) => ({ note: 'Mode OpenAI: contexte non connecté' }),</span>
|
|
<span class="cstat-no" title="statement not covered" > infogreffe: async (_siren: string) => ({ note: 'Mode OpenAI: contexte non connecté' }),</span>
|
|
<span class="cstat-no" title="statement not covered" >}</span>
|
|
|
|
<span class="cstat-no" title="statement not covered" >function pseudoChecksum(input: string): boolean {</span>
|
|
<span class="cstat-no" title="statement not covered" > if (!input) return false</span>
|
|
// checksum simple: somme des codes char modulo 10 doit être pair
|
|
<span class="cstat-no" title="statement not covered" > const sum = Array.from(input).reduce((acc, ch) => acc + ch.charCodeAt(0), 0)</span>
|
|
<span class="cstat-no" title="statement not covered" > return sum % 10 % 2 === 0</span>
|
|
<span class="cstat-no" title="statement not covered" >}</span>
|
|
</pre></td></tr></table></pre>
|
|
|
|
<div class='push'></div><!-- for sticky footer -->
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</div><!-- /wrapper -->
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<div class='footer quiet pad2 space-top1 center small'>
|
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Code coverage generated by
|
|
<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
|
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at 2025-09-15T21:06:54.320Z
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</div>
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