- 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>
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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