feat: rename keep-notes to memento-note, migrate to PostgreSQL, fix MCP bugs
- Rename directory keep-notes -> memento-note with all code references - Prisma: SQLite -> PostgreSQL (both app and MCP server schemas) - Sync MCP schema with main app (add missing fields, relations, indexes) - Delete 17 SQLite migrations (clean slate for PostgreSQL) - Remove SQLite dependencies (@libsql/client, better-sqlite3, etc.) - Fix MCP server: hardcoded Windows DB paths -> DATABASE_URL env var - Fix MCP server: .dockerignore excluded index-sse.js (SSE mode broken) - MCP Dockerfile: node:20 -> node:22 - Docker Compose: add postgres service, remove SQLite volume - Generate favicon.ico, icon-192.png, icon-512.png, apple-icon.png - Update layout.tsx icons and manifest.json for PNG icons - Update all .env files for PostgreSQL - Rewrite README.md with updated sections - Remove mcp-server/node_modules and prisma/client-generated from git tracking Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
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memento-note/app/api/ai/title-suggestions/route.ts
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99
memento-note/app/api/ai/title-suggestions/route.ts
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import { NextRequest, NextResponse } from 'next/server'
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import { getAIProvider } from '@/lib/ai/factory'
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import { getSystemConfig } from '@/lib/config'
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import { z } from 'zod'
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const requestSchema = z.object({
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content: z.string().min(1, "Le contenu ne peut pas être vide"),
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})
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export async function POST(req: NextRequest) {
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try {
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const body = await req.json()
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const { content } = requestSchema.parse(body)
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// Vérifier qu'il y a au moins 10 mots
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const wordCount = content.split(/\s+/).length
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if (wordCount < 10) {
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return NextResponse.json(
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{ error: 'Le contenu doit avoir au moins 10 mots' },
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{ status: 400 }
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)
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}
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const config = await getSystemConfig()
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const provider = getAIProvider(config)
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// Détecter la langue du contenu (simple détection basée sur les caractères)
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const hasNonLatinChars = /[\u0400-\u04FF\u0600-\u06FF\u4E00-\u9FFF\u0E00-\u0E7F]/.test(content)
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const isPersian = /[\u0600-\u06FF]/.test(content)
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const isChinese = /[\u4E00-\u9FFF]/.test(content)
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const isRussian = /[\u0400-\u04FF]/.test(content)
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const isArabic = /[\u0600-\u06FF]/.test(content)
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// Déterminer la langue du prompt système
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let promptLanguage = 'en'
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let responseLanguage = 'English'
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if (isPersian) {
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promptLanguage = 'fa' // Persan
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responseLanguage = 'Persian'
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} else if (isChinese) {
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promptLanguage = 'zh' // Chinois
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responseLanguage = 'Chinese'
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} else if (isRussian) {
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promptLanguage = 'ru' // Russe
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responseLanguage = 'Russian'
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} else if (isArabic) {
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promptLanguage = 'ar' // Arabe
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responseLanguage = 'Arabic'
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}
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// Générer des titres appropriés basés sur le contenu
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const titlePrompt = promptLanguage === 'en'
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? `You are a title generator. Generate 3 concise, descriptive titles for the following content.
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IMPORTANT INSTRUCTIONS:
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- Use ONLY the content provided below between the CONTENT_START and CONTENT_END markers
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- Do NOT use any external knowledge or training data
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- Focus on the main topics and themes in THIS SPECIFIC content
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- Be specific to what is actually discussed
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CONTENT_START: ${content.substring(0, 500)} CONTENT_END
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Respond ONLY with a JSON array: [{"title": "title1", "confidence": 0.95}, {"title": "title2", "confidence": 0.85}, {"title": "title3", "confidence": 0.75}]`
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: `Tu es un générateur de titres. Génère 3 titres concis et descriptifs pour le contenu suivant en ${responseLanguage}.
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INSTRUCTIONS IMPORTANTES :
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- Utilise SEULEMENT le contenu fourni entre les marqueurs CONTENT_START et CONTENT_END
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- N'utilise AUCUNE connaissance externe ou données d'entraînement
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- Concentre-toi sur les sujets principaux et thèmes de CE CONTENU SPÉCIFIQUE
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- Sois spécifique à ce qui est réellement discuté
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CONTENT_START: ${content.substring(0, 500)} CONTENT_END
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Réponds SEULEMENT avec un tableau JSON: [{"title": "titre1", "confidence": 0.95}, {"title": "titre2", "confidence": 0.85}, {"title": "titre3", "confidence": 0.75}]`
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const titles = await provider.generateTitles(titlePrompt)
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// Créer les suggestions
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const suggestions = titles.map((t: any) => ({
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title: t.title,
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confidence: Math.round(t.confidence * 100),
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reasoning: `Basé sur le contenu`
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}))
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return NextResponse.json({ suggestions })
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} catch (error: any) {
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if (error instanceof z.ZodError) {
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return NextResponse.json({ error: error.issues }, { status: 400 })
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}
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return NextResponse.json(
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{ error: error.message || 'Erreur lors de la génération des titres' },
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{ status: 500 }
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)
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}
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}
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