import http from './http.js'
import store from '@/store/index.js'

export default {
  /**
   * 发送消息到Dify API
   * @param {string} message 用户消息内容
   * @param {Object} options 配置选项
   * @returns {Promise} 
   */
  async sendMessage(message, options = {}) {
    try {
      // 获取AI配置
      const aiConfig = store.getters.globalAIKefuConfig

      // const new_conversationId =  await this.generateConversationId()
      
      // 构建Dify API请求参数
      const params = {
        url: '/api/kefu/chat', // 后端代理接口
        data: {
          // conversation_id: options.conversationId ?? new_conversationId,
          user_id: store.state.memberInfo?.id || 'anonymous',
          stream: false,
          // Dify API参数
          inputs: {},
          query: message,
          response_mode: options.stream ? 'streaming' : 'blocking',
          user: store.state.memberInfo?.id || 'anonymous'
        },
        header: {
          'Content-Type': 'application/json'
        }
      }
      
      // 发送请求
      const response = await http.sendRequest({
        ...params,
        async: false // 使用Promise方式
      })
      
      return this.handleResponse(response, options)
      
    } catch (error) {
      console.error('Dify API请求失败:', error)
      throw new Error('AI服务暂时不可用，请稍后重试')
    }
  },
  
  /**
   * 流式消息处理
   * @param {string} message 用户消息
   * @param {Function} onChunk 流式数据回调
   * @param {Function} onComplete 完成回调
   */
  async sendStreamMessage(message, onChunk, onComplete) {
    try {
        // 使用HTTP流式请求
        return this.sendHttpStream(message, onChunk, onComplete)
      
    } catch (error) {
      console.error('流式消息发送失败:', error)
      throw error
    }
  },
    
  /**
   * HTTP流式请求
   */
  async sendHttpStream(message, onChunk, onComplete) {    
    const params = {
      url: '/api/kefu/chat',
      data: {
        query: message,
        conversation_id: this.generateConversationId(),
        user_id: store.state.memberInfo?.id || 'anonymous',
        stream: true,
		uniacid: store.state.uniacid, // 保留必填参数
      },
      header: {
        'Content-Type': 'application/json'
      }
    }
    
    // 使用fetch API进行流式请求（H5环境）
    // #ifdef H5
    try {
      const response = await fetch(`/api/kefu/chat`, {
        method: 'POST',
        headers: {
          'Content-Type': 'application/json',
        },
        body: JSON.stringify({
          inputs: {},
          query: message,
          response_mode: 'streaming',
          user: store.state.memberInfo?.id || 'anonymous'
        })
      })
      
      const reader = response.body.getReader()
      const decoder = new TextDecoder()
      let content = ''
      
      while (true) {
        const { done, value } = await reader.read()
        if (done) break
        
        const chunk = decoder.decode(value)
        const lines = chunk.split('\n')
        
        for (const line of lines) {
          if (line.startsWith('data: ')) {
            try {
              const data = JSON.parse(line.slice(6))
              if (data.event === 'text_message' && data.text) {
                content += data.text
                if (onChunk) onChunk(data.text)
              }
            } catch (e) {
              // 忽略解析错误
            }
          }
        }
      }
      
      if (onComplete) onComplete(content)
      return content
      
    } catch (error) {
      console.error('HTTP流式请求失败:', error)
      throw error
    }
    // #endif
    
    // 非H5环境使用普通请求模拟流式效果
    // #ifndef H5
    const response = await http.sendRequest({
      ...params,
      async: false
    })
    
    // 模拟流式效果
    if (response.success && response.data) {
      const content = response.data
      const chunkSize = 3
      let index = 0
      
      const streamInterval = setInterval(() => {
        if (index < content.length) {
          const chunk = content.substring(index, index + chunkSize)
          index += chunkSize
          if (onChunk) onChunk(chunk)
        } else {
          clearInterval(streamInterval)
          if (onComplete) onComplete(content)
        }
      }, 100)
    }
    // #endif
  },
  
  /**
   * 处理API响应
   */
  handleResponse(response, options) {
    if (response.code === 0 || response.success) {
      return {
        success: true,
        content: response.data?.answer || response.data?.content || response.data?.reply|| response.data,
        conversationId: response.data?.conversation_id,
        messageId: response.data?.message_id
      }
    } else {
      throw new Error(response.message || 'AI服务返回错误')
    }
  },
  
  /**
   * 生成会话ID
   */
  async generateConversationId() {
          // 构建Dify API请求参数
      const params = {
        url: '/api/kefu/createConversation', // 后端代理接口
        data: {
          uniacid: store.state.uniacid,
          user_id: store.state.memberInfo?.id || 'anonymous',
          member_id: store.state.memberInfo?.id || '',
        },
        header: {
          'Content-Type': 'application/json'
        }
      }
      
      // 发送请求
      const response = await http.sendRequest({
        ...params,
        async: false // 使用Promise方式
      })
      
      return this.handleResponse(response, options)
  },
  
  /**
   * 获取AI服务状态
   */
  async getServiceStatus() {
    try {
      // 简单的健康检查
      const response = await http.sendRequest({
        url: '/api/kefu/health',
        async: false,
        data: {}
      })

      const available = [response?.data?.status, response?.data?.components?.ai_service_config?.status].filter(item => item === 'healthy').length > 0;
      
      return {
        available,
        reason: available ? '服务正常' : '服务异常'
      }
      
    } catch (error) {
      return {
        available: false,
        reason: '服务检查失败'
      }
    }
  },
  
  /**
   * 清除会话历史
   */
  async clearConversation(conversationId) {
    try {
      const response = await http.sendRequest({
        url: '/api/kefu/clear-conversation',
        data: { conversation_id: conversationId },
        async: false
      })
      
      return response.success
      
    } catch (error) {
      console.error('清除会话失败:', error)
      return false
    }
  }
}