const axios = require('axios');
const { llmConfig, getHeaders } = require('../config/llm');

class LLMApiClient {
  constructor() {
    this.baseURL = llmConfig.baseURL;
    this.model = llmConfig.model;
    this.timeout = llmConfig.timeout;
    this.maxRetries = llmConfig.maxRetries;
    this.retryDelay = llmConfig.retryDelay;
    
    // 创建axios实例
    this.client = axios.create({
      baseURL: this.baseURL,
      timeout: this.timeout,
      headers: getHeaders()
    });

    // 配置请求拦截器
    this.client.interceptors.request.use(
      (config) => {
        console.log(`LLM API请求: ${config.method?.toUpperCase()} ${config.url}`);
        return config;
      },
      (error) => {
        console.error('LLM API请求拦截器错误:', error);
        return Promise.reject(error);
      }
    );

    // 配置响应拦截器
    this.client.interceptors.response.use(
      (response) => {
        console.log(`LLM API响应: ${response.status} ${response.config.url}`);
        return response;
      },
      (error) => {
        console.error('LLM API响应错误:', error.response?.data || error.message);
        return Promise.reject(error);
      }
    );
  }

  /**
   * 调用聊天完成API
   */
  async createChatCompletion(messages, options = {}) {
    try {
      const requestBody = {
        model: options.model || this.model,
        messages: this.formatMessages(messages),
        ...llmConfig.defaultOptions,
        ...options
      };

      // 移除undefined值
      Object.keys(requestBody).forEach(key => {
        if (requestBody[key] === undefined) {
          delete requestBody[key];
        }
      });

      console.log('发送LLM请求:', JSON.stringify(requestBody, null, 2));

      const response = await this.makeRequestWithRetry('/chat/completions', requestBody);
      
      // 返回标准格式的响应
      return this.formatResponse(response.data);
    } catch (error) {
      console.error('LLM API调用失败:', error);
      throw this.handleError(error);
    }
  }

  /**
   * 创建流式聊天完成
   */
  async createStreamChatCompletion(messages, options = {}) {
    try {
      const requestBody = {
        model: options.model || this.model,
        messages: this.formatMessages(messages),
        stream: true,
        ...llmConfig.defaultOptions,
        ...options
      };

      // 移除undefined值
      Object.keys(requestBody).forEach(key => {
        if (requestBody[key] === undefined) {
          delete requestBody[key];
        }
      });

      const response = await this.client.post('/chat/completions', requestBody, {
        responseType: 'stream'
      });

      return response.data;
    } catch (error) {
      console.error('流式LLM API调用失败:', error);
      throw this.handleError(error);
    }
  }

  /**
   * 带重试的请求方法
   */
  async makeRequestWithRetry(endpoint, data, retryCount = 0) {
    try {
      const response = await this.client.post(endpoint, data);
      return response;
    } catch (error) {
      // 检查是否应该重试
      if (this.shouldRetry(error, retryCount)) {
        console.log(`请求失败，${this.retryDelay}ms后进行第${retryCount + 1}次重试...`);
        await this.delay(this.retryDelay);
        return this.makeRequestWithRetry(endpoint, data, retryCount + 1);
      }
      throw error;
    }
  }

  /**
   * 判断是否应该重试
   */
  shouldRetry(error, retryCount) {
    // 超过最大重试次数
    if (retryCount >= this.maxRetries) {
      return false;
    }

    // 网络错误或服务器错误可以重试
    if (error.code === 'ECONNABORTED' || error.code === 'ENOTFOUND') {
      return true;
    }

    // HTTP状态码500+可以重试
    if (error.response && error.response.status >= 500) {
      return true;
    }

    // 429 Too Many Requests 可以重试
    if (error.response && error.response.status === 429) {
      return true;
    }

    return false;
  }

  /**
   * 延迟函数
   */
  delay(ms) {
    return new Promise(resolve => setTimeout(resolve, ms));
  }

  /**
   * 格式化消息数组
   */
  formatMessages(messages) {
    // 确保有系统消息
    const formattedMessages = [...messages];
    
    // 检查是否已有系统消息
    const hasSystemMessage = formattedMessages.some(msg => msg.role === 'system');
    
    if (!hasSystemMessage && llmConfig.systemPrompt) {
      formattedMessages.unshift({
        role: 'system',
        content: llmConfig.systemPrompt
      });
    }

    return formattedMessages;
  }

  /**
   * 格式化API响应
   */
  formatResponse(data) {
    if (!data || !data.choices || data.choices.length === 0) {
      throw new Error('LLM API返回无效响应');
    }

    const choice = data.choices[0];
    const message = choice.message;

    return {
      id: data.id,
      model: data.model,
      content: message.content,
      role: message.role,
      finishReason: choice.finish_reason,
      usage: data.usage,
      created: data.created
    };
  }

  /**
   * 处理API错误
   */
  handleError(error) {
    if (error.response) {
      // API返回错误响应
      const status = error.response.status;
      const data = error.response.data;
      
      switch (status) {
        case 400:
          return new Error(`请求参数错误: ${data.error?.message || '无效请求'}`);
        case 401:
          return new Error('API密钥无效或未提供');
        case 403:
          return new Error('API访问被拒绝，请检查权限');
        case 404:
          return new Error('API端点不存在');
        case 429:
          return new Error('请求频率过高，请稍后重试');
        case 500:
          return new Error('LLM服务内部错误');
        case 503:
          return new Error('LLM服务暂时不可用');
        default:
          return new Error(`LLM API错误 (${status}): ${data.error?.message || '未知错误'}`);
      }
    } else if (error.request) {
      // 网络错误
      if (error.code === 'ECONNABORTED') {
        return new Error('请求超时，请检查网络连接');
      } else if (error.code === 'ENOTFOUND') {
        return new Error('无法连接到LLM服务，请检查网络和API地址');
      } else {
        return new Error(`网络错误: ${error.message}`);
      }
    } else {
      // 其他错误
      return new Error(`未知错误: ${error.message}`);
    }
  }

  /**
   * 检查API连接状态
   */
  async checkConnection() {
    try {
      const testMessages = [
        { role: 'user', content: 'Hello' }
      ];
      
      await this.createChatCompletion(testMessages, {
        max_tokens: 10,
        temperature: 0
      });
      
      return { status: 'connected', message: 'LLM API连接正常' };
    } catch (error) {
      return { 
        status: 'error', 
        message: error.message,
        error: error
      };
    }
  }

  /**
   * 获取可用模型列表（如果API支持）
   */
  async getModels() {
    try {
      const response = await this.client.get('/models');
      return response.data;
    } catch (error) {
      console.warn('获取模型列表失败:', error.message);
      return null;
    }
  }

  /**
   * 计算tokens估算（简单实现）
   */
  estimateTokens(text) {
    // 简单估算：英文按空格分割，中文按字符数
    const englishWords = (text.match(/[a-zA-Z]+/g) || []).length;
    const chineseChars = (text.match(/[\u4e00-\u9fff]/g) || []).length;
    const otherChars = text.replace(/[a-zA-Z\u4e00-\u9fff\s]/g, '').length;
    
    return englishWords + chineseChars + Math.ceil(otherChars / 2);
  }

  /**
   * 截断消息以适应token限制
   */
  truncateMessages(messages, maxTokens = 4000) {
    let totalTokens = 0;
    const truncatedMessages = [];
    
    // 从最后一条消息开始，向前累加
    for (let i = messages.length - 1; i >= 0; i--) {
      const message = messages[i];
      const messageTokens = this.estimateTokens(message.content);
      
      if (totalTokens + messageTokens > maxTokens && truncatedMessages.length > 0) {
        break;
      }
      
      truncatedMessages.unshift(message);
      totalTokens += messageTokens;
    }
    
    return truncatedMessages;
  }
}

module.exports = LLMApiClient;