import { createOpenAI } from '@ai-sdk/openai';
import { generateObject, embed } from 'ai';
import { z } from 'zod';
import { AIProvider, TagSuggestion } from '../types';

export class DeepSeekProvider implements AIProvider {
  private model: any;
  private embeddingModel: any;

  constructor(apiKey: string, modelName: string = 'deepseek-chat', embeddingModelName: string = 'deepseek-embedding') {
    // Create OpenAI-compatible client for DeepSeek
    const deepseek = createOpenAI({
      baseURL: 'https://api.deepseek.com/v1',
      apiKey: apiKey,
    });

    this.model = deepseek(modelName);
    this.embeddingModel = deepseek.embedding(embeddingModelName);
  }

  async generateTags(content: string): Promise<TagSuggestion[]> {
    try {
      const { object } = await generateObject({
        model: this.model,
        schema: z.object({
          tags: z.array(z.object({
            tag: z.string().describe('Le nom du tag, court et en minuscules'),
            confidence: z.number().min(0).max(1).describe('Le niveau de confiance entre 0 et 1')
          }))
        }),
        prompt: `Analyse la note suivante et suggère entre 1 et 5 tags pertinents.
        Contenu de la note: "${content}"`,
      });

      return object.tags;
    } catch (e) {
      console.error('Erreur génération tags DeepSeek:', e);
      return [];
    }
  }

  async getEmbeddings(text: string): Promise<number[]> {
    try {
      const { embedding } = await embed({
        model: this.embeddingModel,
        value: text,
      });
      return embedding;
    } catch (e) {
      console.error('Erreur embeddings DeepSeek:', e);
      return [];
    }
  }
}