/**
 * useOllama - Composable Vue 3 per usare Ollama nelle tue applicazioni Quasar
 * 
 * Esempio d'uso:
 * 
 * import { useOllama } from './useOllama';
 * 
 * const { generate, chat, isLoading, error } = useOllama({
 *   baseUrl: 'http://localhost:11434',
 *   model: 'llama3.2'
 * });
 * 
 * const result = await generate('Scrivi una poesia');
 */

import { ref, reactive } from 'vue';
import OllamaService from './OllamaService.js';

export function useOllama(options = {}) {
  const {
    baseUrl = 'http://localhost:11434',
    model = 'llama3.2',
    temperature = 0.7,
  } = options;

  // State
  const isLoading = ref(false);
  const error = ref(null);
  const streamingContent = ref('');
  const models = ref([]);

  // Service instance
  const service = new OllamaService(baseUrl);
  service.setDefaultModel(model);

  /**
   * Genera testo
   */
  const generate = async (prompt, opts = {}) => {
    isLoading.value = true;
    error.value = null;
    streamingContent.value = '';

    try {
      const result = await service.generate({
        prompt,
        temperature,
        ...opts,
      });
      return result;
    } catch (e) {
      error.value = e.message;
      throw e;
    } finally {
      isLoading.value = false;
    }
  };

  /**
   * Genera testo con streaming
   */
  const generateStream = async (prompt, opts = {}) => {
    isLoading.value = true;
    error.value = null;
    streamingContent.value = '';

    try {
      const result = await service.streamGenerate(
        { prompt, temperature, ...opts },
        (chunk, full) => {
          streamingContent.value = full;
        }
      );
      return result;
    } catch (e) {
      error.value = e.message;
      throw e;
    } finally {
      isLoading.value = false;
    }
  };

  /**
   * Chat con messaggi
   */
  const chat = async (messages, opts = {}) => {
    isLoading.value = true;
    error.value = null;
    streamingContent.value = '';

    try {
      const result = await service.chat({
        messages,
        temperature,
        ...opts,
      });
      return result;
    } catch (e) {
      error.value = e.message;
      throw e;
    } finally {
      isLoading.value = false;
    }
  };

  /**
   * Chat con streaming
   */
  const chatStream = async (messages, opts = {}) => {
    isLoading.value = true;
    error.value = null;
    streamingContent.value = '';

    try {
      const result = await service.streamChat(
        { messages, temperature, ...opts },
        (chunk, full) => {
          streamingContent.value = full;
        }
      );
      return result;
    } catch (e) {
      error.value = e.message;
      throw e;
    } finally {
      isLoading.value = false;
    }
  };

  /**
   * Carica modelli disponibili
   */
  const loadModels = async () => {
    try {
      models.value = await service.listModels();
      return models.value;
    } catch (e) {
      error.value = e.message;
      return [];
    }
  };

  // Helper methods
  const generateText = (prompt, opts) => service.generateText(prompt, opts);
  const generateCode = (prompt, lang, opts) => service.generateCode(prompt, lang, opts);
  const translate = (text, lang, opts) => service.translate(text, lang, opts);
  const summarize = (text, opts) => service.summarize(text, opts);
  const extractJSON = (text, schema, opts) => service.extractJSON(text, schema, opts);
  const analyzeSentiment = (text, opts) => service.analyzeSentiment(text, opts);

  return {
    // State
    isLoading,
    error,
    streamingContent,
    models,

    // Core methods
    generate,
    generateStream,
    chat,
    chatStream,
    loadModels,

    // Helper methods
    generateText,
    generateCode,
    translate,
    summarize,
    extractJSON,
    analyzeSentiment,

    // Service access
    service,
  };
}

export default useOllama;