## 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>
89 lines
2.5 KiB
TypeScript
89 lines
2.5 KiB
TypeScript
import { createOpenAI } from '@ai-sdk/openai';
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import { generateObject, generateText, embed } from 'ai';
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import { z } from 'zod';
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import { AIProvider, TagSuggestion, TitleSuggestion } from '../types';
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export class DeepSeekProvider implements AIProvider {
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private model: any;
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private embeddingModel: any;
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constructor(apiKey: string, modelName: string = 'deepseek-chat', embeddingModelName: string = 'deepseek-embedding') {
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// Create OpenAI-compatible client for DeepSeek
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const deepseek = createOpenAI({
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baseURL: 'https://api.deepseek.com/v1',
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apiKey: apiKey,
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});
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this.model = deepseek(modelName);
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this.embeddingModel = deepseek.embedding(embeddingModelName);
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}
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async generateTags(content: string): Promise<TagSuggestion[]> {
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try {
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const { object } = await generateObject({
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model: this.model,
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schema: z.object({
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tags: z.array(z.object({
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tag: z.string().describe('Le nom du tag, court et en minuscules'),
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confidence: z.number().min(0).max(1).describe('Le niveau de confiance entre 0 et 1')
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}))
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}),
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prompt: `Analyse la note suivante et suggère entre 1 et 5 tags pertinents.
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Contenu de la note: "${content}"`,
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});
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return object.tags;
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} catch (e) {
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console.error('Erreur génération tags DeepSeek:', e);
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return [];
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}
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}
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async getEmbeddings(text: string): Promise<number[]> {
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try {
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const { embedding } = await embed({
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model: this.embeddingModel,
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value: text,
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});
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return embedding;
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} catch (e) {
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console.error('Erreur embeddings DeepSeek:', e);
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return [];
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}
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}
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async generateTitles(prompt: string): Promise<TitleSuggestion[]> {
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try {
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const { object } = await generateObject({
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model: this.model,
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schema: z.object({
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titles: z.array(z.object({
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title: z.string().describe('Le titre suggéré'),
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confidence: z.number().min(0).max(1).describe('Le niveau de confiance entre 0 et 1')
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}))
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}),
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prompt: prompt,
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});
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return object.titles;
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} catch (e) {
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console.error('Erreur génération titres DeepSeek:', e);
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return [];
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}
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}
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async generateText(prompt: string): Promise<string> {
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try {
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const { text } = await generateText({
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model: this.model,
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prompt: prompt,
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});
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return text.trim();
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} catch (e) {
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console.error('Erreur génération texte DeepSeek:', e);
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throw e;
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}
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}
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}
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