Press n or j to go to the next uncovered block, b, p or k for the previous block.
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 | import axios from 'axios' import { openaiDocumentApi, openaiExternalApi } from './openai' import type { Document, ExtractionResult, AnalysisResult, ContextResult, ConseilResult } from '../types' const BASE_URL = import.meta.env.VITE_API_URL || 'http://localhost:8000' const USE_OPENAI = import.meta.env.VITE_USE_OPENAI === 'true' // Debug non-invasif en dev pour vérifier la lecture du .env if (import.meta.env.DEV) { const maskedKey = (import.meta.env.VITE_OPENAI_API_KEY || '') .toString() .replace(/.(?=.{4})/g, '*') // eslint-disable-next-line no-console console.info('[ENV] VITE_API_URL=', BASE_URL, 'VITE_USE_AI=', USE_OPENAI, 'VITE_AI_API_KEY=', maskedKey) } export const apiClient = axios.create({ baseURL: BASE_URL, timeout: 60000, }) // Intercepteur pour les erreurs apiClient.interceptors.response.use( (response) => response, (error) => { // Laisser remonter les erreurs au consommateur return Promise.reject(error) } ) // Services API pour les documents export const documentApi = { // Téléversement de document upload: async (file: File): Promise<Document> => { if (USE_OPENAI) return openaiDocumentApi.upload(file) const formData = new FormData() formData.append('file', file) const { data } = await apiClient.post('/api/notary/upload', formData) // L'API retourne {message, document_id, status} // On doit mapper vers le format Document attendu const fileUrl = URL.createObjectURL(file) return { id: data.document_id || data.id || 'upload-' + Date.now(), name: file.name, mimeType: data.mime_type || data.mimeType || file.type || 'application/pdf', functionalType: data.functional_type || data.functionalType || undefined, size: file.size, uploadDate: new Date(), status: 'completed', previewUrl: fileUrl } }, // Extraction des données extract: async (documentId: string): Promise<ExtractionResult> => { if (USE_OPENAI) { // En mode OpenAI, nous n’avons pas le fichier original côté service. // Le texte a été approximé à l’upload. On tente néanmoins l’extraction textuelle côté OpenAI sans fichier. return openaiDocumentApi.extract(documentId) } const { data } = await apiClient.get(`/api/notary/documents/${documentId}`) // Mapper les données de l'API vers le format ExtractionResult const results = data.results || {} return { documentId, text: results.ocr_text || 'Texte extrait du document...', language: 'fr', documentType: results.document_type || 'Document', identities: results.entities?.persons?.map((name: string, index: number) => ({ id: `person-${index}`, type: 'person' as const, firstName: name.split(' ')[0] || name, lastName: name.split(' ').slice(1).join(' ') || '', birthDate: '', nationality: 'Française', confidence: 0.9, })) || [], addresses: results.entities?.addresses?.map((address: string) => ({ street: address, city: 'Paris', postalCode: '75001', country: 'France', })) || [], properties: results.entities?.properties?.map((_propertyName: string, index: number) => ({ id: `prop-${index}`, type: 'apartment' as const, address: { street: '123 Rue de la Paix', city: 'Paris', postalCode: '75001', country: 'France', }, surface: 75, cadastralReference: '1234567890AB', value: 250000, })) || [], contracts: [ { id: 'contract-1', type: 'sale' as const, parties: [], amount: 250000, date: '2024-01-15', clauses: ['Clause de garantie', 'Clause de condition suspensive'], }, ], signatures: results.entities?.persons || [], confidence: results.verification_score || 0.85, } }, // Analyse du document analyze: async (documentId: string): Promise<AnalysisResult> => { if (USE_OPENAI) return openaiDocumentApi.analyze(documentId) const { data } = await apiClient.get<AnalysisResult>(`/api/documents/${documentId}/analyze`) return data }, // Données contextuelles getContext: async (documentId: string): Promise<ContextResult> => { if (USE_OPENAI) return openaiDocumentApi.getContext(documentId) const { data } = await apiClient.get<ContextResult>(`/api/documents/${documentId}/context`) return data }, // Conseil LLM getConseil: async (documentId: string): Promise<ConseilResult> => { if (USE_OPENAI) return openaiDocumentApi.getConseil(documentId) const { data } = await apiClient.get<ConseilResult>(`/api/documents/${documentId}/conseil`) return data }, // Détection du type de document detectType: async (file: File): Promise<{ type: string; confidence: number }> => { if (USE_OPENAI) return openaiDocumentApi.detectType(file) const formData = new FormData() formData.append('file', file) const { data } = await apiClient.post('/api/ocr/detect', formData) return data }, } // Services API pour les données externes export const externalApi = { // Cadastre via backend cadastre: async (address: string) => { if (USE_OPENAI) return openaiExternalApi.cadastre(address) const { data } = await apiClient.get('/api/context/cadastre', { params: { q: address } }) return data }, // Géorisques via backend georisques: async (coordinates: { lat: number; lng: number }) => { if (USE_OPENAI) return openaiExternalApi.georisques(coordinates) const { data } = await apiClient.get('/api/context/georisques', { params: coordinates }) return data }, // Géofoncier via backend geofoncier: async (address: string) => { if (USE_OPENAI) return openaiExternalApi.geofoncier(address) const { data } = await apiClient.get('/api/context/geofoncier', { params: { address } }) return data }, // BODACC via backend bodacc: async (companyName: string) => { if (USE_OPENAI) return openaiExternalApi.bodacc(companyName) const { data } = await apiClient.get('/api/context/bodacc', { params: { q: companyName } }) return data }, // Infogreffe via backend infogreffe: async (siren: string) => { if (USE_OPENAI) return openaiExternalApi.infogreffe(siren) const { data } = await apiClient.get('/api/context/infogreffe', { params: { siren } }) return data }, } |