sepehr 7fb486c9a4 feat: Complete internationalization and code cleanup
## Translation Files
- Add 11 new language files (es, de, pt, ru, zh, ja, ko, ar, hi, nl, pl)
- Add 100+ missing translation keys across all 15 languages
- New sections: notebook, pagination, ai.batchOrganization, ai.autoLabels
- Update nav section with workspace, quickAccess, myLibrary keys

## Component Updates
- Update 15+ components to use translation keys instead of hardcoded text
- Components: notebook dialogs, sidebar, header, note-input, ghost-tags, etc.
- Replace 80+ hardcoded English/French strings with t() calls
- Ensure consistent UI across all supported languages

## Code Quality
- Remove 77+ console.log statements from codebase
- Clean up API routes, components, hooks, and services
- Keep only essential error handling (no debugging logs)

## UI/UX Improvements
- Update Keep logo to yellow post-it style (from-yellow-400 to-amber-500)
- Change selection colors to #FEF3C6 (notebooks) and #EFB162 (nav items)
- Make "+" button permanently visible in notebooks section
- Fix grammar and syntax errors in multiple components

## Bug Fixes
- Fix JSON syntax errors in it.json, nl.json, pl.json, zh.json
- Fix syntax errors in notebook-suggestion-toast.tsx
- Fix syntax errors in use-auto-tagging.ts
- Fix syntax errors in paragraph-refactor.service.ts
- Fix duplicate "fusion" section in nl.json

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

Ou une version plus courte si vous préférez :

feat(i18n): Add 15 languages, remove logs, update UI components

- Create 11 new translation files (es, de, pt, ru, zh, ja, ko, ar, hi, nl, pl)
- Add 100+ translation keys: notebook, pagination, AI features
- Update 15+ components to use translations (80+ strings)
- Remove 77+ console.log statements from codebase
- Fix JSON syntax errors in 4 translation files
- Fix component syntax errors (toast, hooks, services)
- Update logo to yellow post-it style
- Change selection colors (#FEF3C6, #EFB162)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-11 22:26:13 +01:00

100 lines
3.6 KiB
TypeScript

import { NextRequest, NextResponse } from 'next/server'
import { getAIProvider } from '@/lib/ai/factory'
import { getSystemConfig } from '@/lib/config'
import { z } from 'zod'
const requestSchema = z.object({
content: z.string().min(1, "Le contenu ne peut pas être vide"),
})
export async function POST(req: NextRequest) {
try {
const body = await req.json()
const { content } = requestSchema.parse(body)
// Vérifier qu'il y a au moins 10 mots
const wordCount = content.split(/\s+/).length
if (wordCount < 10) {
return NextResponse.json(
{ error: 'Le contenu doit avoir au moins 10 mots' },
{ status: 400 }
)
}
const config = await getSystemConfig()
const provider = getAIProvider(config)
// Détecter la langue du contenu (simple détection basée sur les caractères)
const hasNonLatinChars = /[\u0400-\u04FF\u0600-\u06FF\u4E00-\u9FFF\u0E00-\u0E7F]/.test(content)
const isPersian = /[\u0600-\u06FF]/.test(content)
const isChinese = /[\u4E00-\u9FFF]/.test(content)
const isRussian = /[\u0400-\u04FF]/.test(content)
const isArabic = /[\u0600-\u06FF]/.test(content)
// Déterminer la langue du prompt système
let promptLanguage = 'en'
let responseLanguage = 'English'
if (isPersian) {
promptLanguage = 'fa' // Persan
responseLanguage = 'Persian'
} else if (isChinese) {
promptLanguage = 'zh' // Chinois
responseLanguage = 'Chinese'
} else if (isRussian) {
promptLanguage = 'ru' // Russe
responseLanguage = 'Russian'
} else if (isArabic) {
promptLanguage = 'ar' // Arabe
responseLanguage = 'Arabic'
}
// Générer des titres appropriés basés sur le contenu
const titlePrompt = promptLanguage === 'en'
? `You are a title generator. Generate 3 concise, descriptive titles for the following content.
IMPORTANT INSTRUCTIONS:
- Use ONLY the content provided below between the CONTENT_START and CONTENT_END markers
- Do NOT use any external knowledge or training data
- Focus on the main topics and themes in THIS SPECIFIC content
- Be specific to what is actually discussed
CONTENT_START: ${content.substring(0, 500)} CONTENT_END
Respond ONLY with a JSON array: [{"title": "title1", "confidence": 0.95}, {"title": "title2", "confidence": 0.85}, {"title": "title3", "confidence": 0.75}]`
: `Tu es un générateur de titres. Génère 3 titres concis et descriptifs pour le contenu suivant en ${responseLanguage}.
INSTRUCTIONS IMPORTANTES :
- Utilise SEULEMENT le contenu fourni entre les marqueurs CONTENT_START et CONTENT_END
- N'utilise AUCUNE connaissance externe ou données d'entraînement
- Concentre-toi sur les sujets principaux et thèmes de CE CONTENU SPÉCIFIQUE
- Sois spécifique à ce qui est réellement discuté
CONTENT_START: ${content.substring(0, 500)} CONTENT_END
Réponds SEULEMENT avec un tableau JSON: [{"title": "titre1", "confidence": 0.95}, {"title": "titre2", "confidence": 0.85}, {"title": "titre3", "confidence": 0.75}]`
const titles = await provider.generateTitles(titlePrompt)
// Créer les suggestions
const suggestions = titles.map((t: any) => ({
title: t.title,
confidence: Math.round(t.confidence * 100),
reasoning: `Basé sur le contenu`
}))
return NextResponse.json({ suggestions })
} catch (error: any) {
if (error instanceof z.ZodError) {
return NextResponse.json({ error: error.issues }, { status: 400 })
}
return NextResponse.json(
{ error: error.message || 'Erreur lors de la génération des titres' },
{ status: 500 }
)
}
}